-
[KCON HONG KONG 2024] BOYNEXTDOOR - DOPE(쩔어) (원곡:BTS) | Mnet 240423 방송
티빙에서 스트리밍 : https://tving.onelink.me/xHqC/30a78d6f
BOYNEXTDOOR - DOPE(쩔어) (원곡:BTS)
KCON HONG KONG 2024
LET'S KCON
https://www.youtube.com/kcon
#티빙에서스트리밍
published: 23 Apr 2024
-
Die MF Die
Provided to YouTube by Epic
Die MF Die · Dope
Life
℗ 2001 Sony Music Entertainment Inc.
Released on: 2001-12-06
Engineer, Producer, Recording Engineer: Josh Abraham
Bass, Guitar, Vocal, Composer, Lyricist, Editor, Engineer, Producer, Programmer: Edsel Dope
Background Vocal, Guitar: Acey Slade
Composer: Tripp Eisen
Executive Producer: Jordan Schur
Background Vocal, Guitar: Virus
Engineer, Recording Engineer: Anthony "Fu" Valcic
Keyboards, Percussion: Simon Dope
Assistant Engineer: Kevin Strowen
Drums: Sketchy Shay
Mixing Engineer: Andy Wallace
Mixing Engineer: Steve Sisco
Mastering Engineer: Vlado Meller
Bass: Sloane "Mosey" Jentry
Auto-generated by YouTube.
published: 04 Apr 2015
-
Dope - Believe (Official Video)
Dope "Believe (feat. Drama Club)" The official video for the song Believe from the forthcoming album Blood Money Part Zero. Get FREE Dope at https://dopetheband.com
Directed by: Edsel Dope
Co-Directed by: Matt Zane
Featuring: @JohnnieGuilbert, Fivel Stewart, Amie Harwick
----
https://lnk.to/DOPE_BMPZ
https://dopetheband.com
https://instagram.com/dopetheband
https://twitter.com/dopetheband
https://facebook.com/dopetheband
published: 22 Aug 2022
-
Debonaire
Provided to YouTube by Epic/Flip
Debonaire · Dope
Felons And Revolutionaries
℗ 1999 Sony Music Entertainment Inc.
Released on: 1999-09-14
Guitar, Vocal, Composer, Lyricist, Engineer, Mixing Engineer, Producer, Programmer: Edsel Dope
Engineer, Mixing Engineer, Producer, Recording Engineer: John Travis
Executive Producer: Jordan Schur
Guitar: Tripp Eisen
Drums: Preston Nash
Editor: Roger Liam
Keyboards: Simon Dope
Assistant Engineer: Eric Too
Bass: Acey Slade
Assistant Engineer: Derek Carlson
Assistant Engineer: Mr. Big Head
Mastering Engineer: Howie Weinberg
Auto-generated by YouTube.
published: 24 Apr 2019
-
Dope - Now Or Never
Music video by Dope performing Now Or Never. (C) 2001 Sony BMG Music Entertainment
published: 27 Mar 2011
-
Dope - No Respect (Official Video)
The official video for the song No Respect from the forthcoming album Blood Money Part Zero. Get the whole new album for FREE at https://dopetheband.com
Directed by: Edsel Dope
Co-Directed by: Matt Zane
----
https://lnk.to/DOPE_BMPZ
https://dopetheband.com
https://instagram.com/dopetheband
https://twitter.com/dopetheband
https://facebook.com/dopetheband
published: 27 Sep 2022
-
Dope - Die motherf cker die
I own Nothing!
I'm not sending anything to anybody!
Enjoy! (:
published: 25 Aug 2009
-
Rebel Yell
Provided to YouTube by Entertainment One U.S., LP
Rebel Yell · Dope
No Regrets
℗ Koch Records
Released on: 2009-03-10
Auto-generated by YouTube.
published: 03 Oct 2014
-
E09 Inclusive Upliftment: Boudicca’s Madeleine Mitchell | musicAppreciated Podcast
@boudiccaaus moves the soul. Physically. Madeleine Mitchell joins me this week to talk vocals, song writing, looking like a dork, and drops some hard-won knowledge for girls, women, and non-binary people entering the music industry. Madeleine’s journey is a powerful story, bolstered by her ripping passion for her ancestry, and history. Listen to this band. Stop mucking about and do it now.
“Informed by representations of women in folklore, myth, and history, Boudicca's paint-stripper vocals lead the band in tearing stories from dust-covered books and relating them to their audiences both locally and abroad through a very cheeky, staunch, but still distinctively contemporary lens.” - Unearthed (https://www.abc.net.au/triplejunearthed/artist/boudicca/)
“The riffage runs from knuckle-draggi...
published: 18 Jul 2024
-
Dope - Debonaire (Live)
Dope's official music video for 'Debonaire'. Click to listen to Dope on Spotify: http://smarturl.it/DopeSpotify?IQid=Deb
As featured on Felons and Revolutionaries. Click to buy the track or album via iTunes: http://smarturl.it/FelonsAndRevs?IQid=Deb
Google Play: http://smarturl.it/DopeDebonplay?IQid=Deb
Amazon: http://smarturl.it/FandRAmazon?IQid=Deb
More From Dope
Everything Sucks: https://youtu.be/ggHpZE2W-rs
Now Or Never: https://youtu.be/u0Vecuck8-8
Sick: https://youtu.be/CAPG72Go6zo
More great Alternative videos here: http://smarturl.it/Alternative00?IQid=Deb
Follow Dope
Website: http://dopearmy.com/
Facebook: https://www.facebook.com/Dopetheband
Twitter: https://twitter.com/edseldope
Subscribe to Dope on YouTube: http://smarturl.it/DopeSub?IQid=Deb
---------
Lyrics:
I don't n...
published: 25 Oct 2009
4:12
[KCON HONG KONG 2024] BOYNEXTDOOR - DOPE(쩔어) (원곡:BTS) | Mnet 240423 방송
티빙에서 스트리밍 : https://tving.onelink.me/xHqC/30a78d6f
BOYNEXTDOOR - DOPE(쩔어) (원곡:BTS)
KCON HONG KONG 2024
LET'S KCON
https://www.youtube.com/kcon
#티빙에서스트리밍
티빙에서 스트리밍 : https://tving.onelink.me/xHqC/30a78d6f
BOYNEXTDOOR - DOPE(쩔어) (원곡:BTS)
KCON HONG KONG 2024
LET'S KCON
https://www.youtube.com/kcon
#티빙에서스트리밍
https://wn.com/Kcon_Hong_Kong_2024_Boynextdoor_Dope(쩔어)_(원곡_Bts)_|_Mnet_240423_방송
티빙에서 스트리밍 : https://tving.onelink.me/xHqC/30a78d6f
BOYNEXTDOOR - DOPE(쩔어) (원곡:BTS)
KCON HONG KONG 2024
LET'S KCON
https://www.youtube.com/kcon
#티빙에서스트리밍
- published: 23 Apr 2024
- views: 2293339
3:07
Die MF Die
Provided to YouTube by Epic
Die MF Die · Dope
Life
℗ 2001 Sony Music Entertainment Inc.
Released on: 2001-12-06
Engineer, Producer, Recording Engineer: Jo...
Provided to YouTube by Epic
Die MF Die · Dope
Life
℗ 2001 Sony Music Entertainment Inc.
Released on: 2001-12-06
Engineer, Producer, Recording Engineer: Josh Abraham
Bass, Guitar, Vocal, Composer, Lyricist, Editor, Engineer, Producer, Programmer: Edsel Dope
Background Vocal, Guitar: Acey Slade
Composer: Tripp Eisen
Executive Producer: Jordan Schur
Background Vocal, Guitar: Virus
Engineer, Recording Engineer: Anthony "Fu" Valcic
Keyboards, Percussion: Simon Dope
Assistant Engineer: Kevin Strowen
Drums: Sketchy Shay
Mixing Engineer: Andy Wallace
Mixing Engineer: Steve Sisco
Mastering Engineer: Vlado Meller
Bass: Sloane "Mosey" Jentry
Auto-generated by YouTube.
https://wn.com/Die_Mf_Die
Provided to YouTube by Epic
Die MF Die · Dope
Life
℗ 2001 Sony Music Entertainment Inc.
Released on: 2001-12-06
Engineer, Producer, Recording Engineer: Josh Abraham
Bass, Guitar, Vocal, Composer, Lyricist, Editor, Engineer, Producer, Programmer: Edsel Dope
Background Vocal, Guitar: Acey Slade
Composer: Tripp Eisen
Executive Producer: Jordan Schur
Background Vocal, Guitar: Virus
Engineer, Recording Engineer: Anthony "Fu" Valcic
Keyboards, Percussion: Simon Dope
Assistant Engineer: Kevin Strowen
Drums: Sketchy Shay
Mixing Engineer: Andy Wallace
Mixing Engineer: Steve Sisco
Mastering Engineer: Vlado Meller
Bass: Sloane "Mosey" Jentry
Auto-generated by YouTube.
- published: 04 Apr 2015
- views: 32408268
4:37
Dope - Believe (Official Video)
Dope "Believe (feat. Drama Club)" The official video for the song Believe from the forthcoming album Blood Money Part Zero. Get FREE Dope at https://dopetheba...
Dope "Believe (feat. Drama Club)" The official video for the song Believe from the forthcoming album Blood Money Part Zero. Get FREE Dope at https://dopetheband.com
Directed by: Edsel Dope
Co-Directed by: Matt Zane
Featuring: @JohnnieGuilbert, Fivel Stewart, Amie Harwick
----
https://lnk.to/DOPE_BMPZ
https://dopetheband.com
https://instagram.com/dopetheband
https://twitter.com/dopetheband
https://facebook.com/dopetheband
https://wn.com/Dope_Believe_(Official_Video)
Dope "Believe (feat. Drama Club)" The official video for the song Believe from the forthcoming album Blood Money Part Zero. Get FREE Dope at https://dopetheband.com
Directed by: Edsel Dope
Co-Directed by: Matt Zane
Featuring: @JohnnieGuilbert, Fivel Stewart, Amie Harwick
----
https://lnk.to/DOPE_BMPZ
https://dopetheband.com
https://instagram.com/dopetheband
https://twitter.com/dopetheband
https://facebook.com/dopetheband
- published: 22 Aug 2022
- views: 365752
2:33
Debonaire
Provided to YouTube by Epic/Flip
Debonaire · Dope
Felons And Revolutionaries
℗ 1999 Sony Music Entertainment Inc.
Released on: 1999-09-14
Guitar, Vocal, Co...
Provided to YouTube by Epic/Flip
Debonaire · Dope
Felons And Revolutionaries
℗ 1999 Sony Music Entertainment Inc.
Released on: 1999-09-14
Guitar, Vocal, Composer, Lyricist, Engineer, Mixing Engineer, Producer, Programmer: Edsel Dope
Engineer, Mixing Engineer, Producer, Recording Engineer: John Travis
Executive Producer: Jordan Schur
Guitar: Tripp Eisen
Drums: Preston Nash
Editor: Roger Liam
Keyboards: Simon Dope
Assistant Engineer: Eric Too
Bass: Acey Slade
Assistant Engineer: Derek Carlson
Assistant Engineer: Mr. Big Head
Mastering Engineer: Howie Weinberg
Auto-generated by YouTube.
https://wn.com/Debonaire
Provided to YouTube by Epic/Flip
Debonaire · Dope
Felons And Revolutionaries
℗ 1999 Sony Music Entertainment Inc.
Released on: 1999-09-14
Guitar, Vocal, Composer, Lyricist, Engineer, Mixing Engineer, Producer, Programmer: Edsel Dope
Engineer, Mixing Engineer, Producer, Recording Engineer: John Travis
Executive Producer: Jordan Schur
Guitar: Tripp Eisen
Drums: Preston Nash
Editor: Roger Liam
Keyboards: Simon Dope
Assistant Engineer: Eric Too
Bass: Acey Slade
Assistant Engineer: Derek Carlson
Assistant Engineer: Mr. Big Head
Mastering Engineer: Howie Weinberg
Auto-generated by YouTube.
- published: 24 Apr 2019
- views: 17348051
3:30
Dope - Now Or Never
Music video by Dope performing Now Or Never. (C) 2001 Sony BMG Music Entertainment
Music video by Dope performing Now Or Never. (C) 2001 Sony BMG Music Entertainment
https://wn.com/Dope_Now_Or_Never
Music video by Dope performing Now Or Never. (C) 2001 Sony BMG Music Entertainment
- published: 27 Mar 2011
- views: 1254027
4:12
Dope - No Respect (Official Video)
The official video for the song No Respect from the forthcoming album Blood Money Part Zero. Get the whole new album for FREE at https://dopetheband.com
Direct...
The official video for the song No Respect from the forthcoming album Blood Money Part Zero. Get the whole new album for FREE at https://dopetheband.com
Directed by: Edsel Dope
Co-Directed by: Matt Zane
----
https://lnk.to/DOPE_BMPZ
https://dopetheband.com
https://instagram.com/dopetheband
https://twitter.com/dopetheband
https://facebook.com/dopetheband
https://wn.com/Dope_No_Respect_(Official_Video)
The official video for the song No Respect from the forthcoming album Blood Money Part Zero. Get the whole new album for FREE at https://dopetheband.com
Directed by: Edsel Dope
Co-Directed by: Matt Zane
----
https://lnk.to/DOPE_BMPZ
https://dopetheband.com
https://instagram.com/dopetheband
https://twitter.com/dopetheband
https://facebook.com/dopetheband
- published: 27 Sep 2022
- views: 303943
3:30
Dope - Die motherf cker die
I own Nothing!
I'm not sending anything to anybody!
Enjoy! (:
I own Nothing!
I'm not sending anything to anybody!
Enjoy! (:
https://wn.com/Dope_Die_Motherf_Cker_Die
I own Nothing!
I'm not sending anything to anybody!
Enjoy! (:
- published: 25 Aug 2009
- views: 13338964
4:06
Rebel Yell
Provided to YouTube by Entertainment One U.S., LP
Rebel Yell · Dope
No Regrets
℗ Koch Records
Released on: 2009-03-10
Auto-generated by YouTube.
Provided to YouTube by Entertainment One U.S., LP
Rebel Yell · Dope
No Regrets
℗ Koch Records
Released on: 2009-03-10
Auto-generated by YouTube.
https://wn.com/Rebel_Yell
Provided to YouTube by Entertainment One U.S., LP
Rebel Yell · Dope
No Regrets
℗ Koch Records
Released on: 2009-03-10
Auto-generated by YouTube.
- published: 03 Oct 2014
- views: 3680749
22:06
E09 Inclusive Upliftment: Boudicca’s Madeleine Mitchell | musicAppreciated Podcast
@boudiccaaus moves the soul. Physically. Madeleine Mitchell joins me this week to talk vocals, song writing, looking like a dork, and drops some hard-won knowle...
@boudiccaaus moves the soul. Physically. Madeleine Mitchell joins me this week to talk vocals, song writing, looking like a dork, and drops some hard-won knowledge for girls, women, and non-binary people entering the music industry. Madeleine’s journey is a powerful story, bolstered by her ripping passion for her ancestry, and history. Listen to this band. Stop mucking about and do it now.
“Informed by representations of women in folklore, myth, and history, Boudicca's paint-stripper vocals lead the band in tearing stories from dust-covered books and relating them to their audiences both locally and abroad through a very cheeky, staunch, but still distinctively contemporary lens.” - Unearthed (https://www.abc.net.au/triplejunearthed/artist/boudicca/)
“The riffage runs from knuckle-dragging chug to head-spinning solos, often with very little warning, and as a loyal subscriber to the idea that Frente were the first band to popularise the Australian accent via song, I can’t help but feel Angie Hart would love to hear Boudicca.” - Blunt Mag (https://www.bluntmag.com.au/features/if-you-listen-to-one-new-band-this-week-make-it-boudicca/)
Boudicca - Listen & Follow:
Streaming: https://tr.ee/3doCf7EoJ0
Instagram: https://www.instagram.com/boudicca_aus/?hl=en
YouTube: @boudiccaaus
TikTok: https://vt.tiktok.com/zs8trdvc7/
All Links: https://linktr.ee/boudiccaaus
Listen to Madeleine’s Podcast, Pushback: Celebrating gender diversity in Australian heavy music: https://linktr.ee/pushback
Boudicca acknowledge the traditional custodians of the lands this
album was made on. Tapestry was written on unceded Awabakal and Worimi Land. Recorded, mixed and mastered on unceded Gadigal Land.
Share your thoughts with me in the comments 👂
OR send me a voice message for free: https://www.speakpipe.com/JeffStreck
I'm working on a new album with @kennetharrowmusic so go listen to his music too!
Hosted by Jeff Streck @jeffstreck @jeffstreckmusic
Music deserves more appreciation. Jeff Streck is here to do exactly that. All genres, all times, all music. This is going to become the place to talk about music.
https://wn.com/E09_Inclusive_Upliftment_Boudicca’S_Madeleine_Mitchell_|_Musicappreciated_Podcast
@boudiccaaus moves the soul. Physically. Madeleine Mitchell joins me this week to talk vocals, song writing, looking like a dork, and drops some hard-won knowledge for girls, women, and non-binary people entering the music industry. Madeleine’s journey is a powerful story, bolstered by her ripping passion for her ancestry, and history. Listen to this band. Stop mucking about and do it now.
“Informed by representations of women in folklore, myth, and history, Boudicca's paint-stripper vocals lead the band in tearing stories from dust-covered books and relating them to their audiences both locally and abroad through a very cheeky, staunch, but still distinctively contemporary lens.” - Unearthed (https://www.abc.net.au/triplejunearthed/artist/boudicca/)
“The riffage runs from knuckle-dragging chug to head-spinning solos, often with very little warning, and as a loyal subscriber to the idea that Frente were the first band to popularise the Australian accent via song, I can’t help but feel Angie Hart would love to hear Boudicca.” - Blunt Mag (https://www.bluntmag.com.au/features/if-you-listen-to-one-new-band-this-week-make-it-boudicca/)
Boudicca - Listen & Follow:
Streaming: https://tr.ee/3doCf7EoJ0
Instagram: https://www.instagram.com/boudicca_aus/?hl=en
YouTube: @boudiccaaus
TikTok: https://vt.tiktok.com/zs8trdvc7/
All Links: https://linktr.ee/boudiccaaus
Listen to Madeleine’s Podcast, Pushback: Celebrating gender diversity in Australian heavy music: https://linktr.ee/pushback
Boudicca acknowledge the traditional custodians of the lands this
album was made on. Tapestry was written on unceded Awabakal and Worimi Land. Recorded, mixed and mastered on unceded Gadigal Land.
Share your thoughts with me in the comments 👂
OR send me a voice message for free: https://www.speakpipe.com/JeffStreck
I'm working on a new album with @kennetharrowmusic so go listen to his music too!
Hosted by Jeff Streck @jeffstreck @jeffstreckmusic
Music deserves more appreciation. Jeff Streck is here to do exactly that. All genres, all times, all music. This is going to become the place to talk about music.
- published: 18 Jul 2024
- views: 42
2:40
Dope - Debonaire (Live)
Dope's official music video for 'Debonaire'. Click to listen to Dope on Spotify: http://smarturl.it/DopeSpotify?IQid=Deb
As featured on Felons and Revolutionar...
Dope's official music video for 'Debonaire'. Click to listen to Dope on Spotify: http://smarturl.it/DopeSpotify?IQid=Deb
As featured on Felons and Revolutionaries. Click to buy the track or album via iTunes: http://smarturl.it/FelonsAndRevs?IQid=Deb
Google Play: http://smarturl.it/DopeDebonplay?IQid=Deb
Amazon: http://smarturl.it/FandRAmazon?IQid=Deb
More From Dope
Everything Sucks: https://youtu.be/ggHpZE2W-rs
Now Or Never: https://youtu.be/u0Vecuck8-8
Sick: https://youtu.be/CAPG72Go6zo
More great Alternative videos here: http://smarturl.it/Alternative00?IQid=Deb
Follow Dope
Website: http://dopearmy.com/
Facebook: https://www.facebook.com/Dopetheband
Twitter: https://twitter.com/edseldope
Subscribe to Dope on YouTube: http://smarturl.it/DopeSub?IQid=Deb
---------
Lyrics:
I don't need diamond rings or highpriced suits that shine
Limosines and flashy things or ancient bottled wine
Designer names and lavish things and million dollar hair
Bonny Dames without a brain I never really cared
I dont care nothin about it wow yeah
I dont care for slitzy things or a fancy neighborhood
Glamour games or plastic fame or the king of Hollywood
Dazzling flamboyant things or a top hat onmy head
Or modeling for magazines and to be a debonaire
I dont care nothing about it wow yeah
https://wn.com/Dope_Debonaire_(Live)
Dope's official music video for 'Debonaire'. Click to listen to Dope on Spotify: http://smarturl.it/DopeSpotify?IQid=Deb
As featured on Felons and Revolutionaries. Click to buy the track or album via iTunes: http://smarturl.it/FelonsAndRevs?IQid=Deb
Google Play: http://smarturl.it/DopeDebonplay?IQid=Deb
Amazon: http://smarturl.it/FandRAmazon?IQid=Deb
More From Dope
Everything Sucks: https://youtu.be/ggHpZE2W-rs
Now Or Never: https://youtu.be/u0Vecuck8-8
Sick: https://youtu.be/CAPG72Go6zo
More great Alternative videos here: http://smarturl.it/Alternative00?IQid=Deb
Follow Dope
Website: http://dopearmy.com/
Facebook: https://www.facebook.com/Dopetheband
Twitter: https://twitter.com/edseldope
Subscribe to Dope on YouTube: http://smarturl.it/DopeSub?IQid=Deb
---------
Lyrics:
I don't need diamond rings or highpriced suits that shine
Limosines and flashy things or ancient bottled wine
Designer names and lavish things and million dollar hair
Bonny Dames without a brain I never really cared
I dont care nothin about it wow yeah
I dont care for slitzy things or a fancy neighborhood
Glamour games or plastic fame or the king of Hollywood
Dazzling flamboyant things or a top hat onmy head
Or modeling for magazines and to be a debonaire
I dont care nothing about it wow yeah
- published: 25 Oct 2009
- views: 3963246
-
The White Lotus Season 3 | Official Trailer | Max
You will leave an entirely different person.
Season 3 of #TheWhiteLotus premieres February 16 on Max.
About Max:
Max is the culture-defining entertainment service for every mood. With a variety of genres that include your favorite series and movies from iconic brands and treasured franchises, it delivers irresistible stories every time. From reuniting with life-long favorites to uncovering new ones you haven’t discovered yet, there's something for every moment, every feeling, every you.
It’s all here. Iconic series, award-winning movies, fresh originals, and family favorites featuring the worlds of Harry Potter, the DC Universe, and HBO. Discover the best entertainment for every mood.
#WarnerBrosDiscovery #streamonmax
SUBSCRIBE TO MAX
https://streamonm.ax/3vgR69B
GET MAX
https://stre...
published: 27 Jan 2025
-
The Last Of Us Season 2 | April 2025 | Max
April. #TheLastOfUs
About Max:
Max is the culture-defining entertainment service for every mood. With a variety of genres that include your favorite series and movies from iconic brands and treasured franchises, it delivers irresistible stories every time. From reuniting with life-long favorites to uncovering new ones you haven’t discovered yet, there's something for every moment, every feeling, every you.
It’s all here. Iconic series, award-winning movies, fresh originals, and family favorites featuring the worlds of Harry Potter, the DC Universe, and HBO. Discover the best entertainment for every mood.
#WarnerBrosDiscovery #streamonmax
SUBSCRIBE TO MAX
https://streamonm.ax/3vgR69B
GET MAX
https://streamonm.ax/4a83GYO
FOLLOW MAX
Follow Max on YouTube: https://streamonm.ax/YouTube
F...
published: 07 Jan 2025
-
Overtime: Rep. Byron Donalds, Tara Palmeri (HBO)
Bill and his guests – Congressman Byron Donalds (R-FL) and @TaraPalmeri – continue their conversation after the show.
published: 08 Feb 2025
-
New Rule: Newer, Not Better | Real Time with Bill Maher (HBO)
Technology is supposed to make our lives easier, but now Silicon Valley runs the world, and their motto is, “if it ain’t broke, fuck with it.”
published: 08 Feb 2025
-
The Last of Us - 2ª Temporada | Teaser Oficial | TLOU Day
Temporada 2. A série original HBO #TheLastOfUs volta em 2025 na Max. #TLOUDay
A #Max é a casa dos seus filmes e séries favoritos da Warner Bros., DC, Cartoon Network, TNT, Adult Swim, Discovery, HBO e Max Originals – além de TODOS os jogos da Champions League ao vivo! Tudo no mesmo lugar para você assistir quando e onde quiser. Nos vemos na max.com
Inscreva-se no canal: https://bit.ly/YouTubeStreamMaxBR
Me segue nas redes!
Twitter: https://twitter.com/StreamMaxBR
Instagram: https://www.instagram.com/streammaxbr/
Facebook: https://www.facebook.com/StreamMaxBR/
TikTok: https://www.tiktok.com/@streammaxbr
published: 26 Sep 2024
-
The White Lotus Season 2 | Official Trailer | HBO
Experience all that #TheWhiteLotus Sicily has to offer. Season 2 premieres October 30 on @HBOMax.
And it’s just getting started. #HBO50
ABOUT HBO
HBO is home to the shows and films that everyone is talking about, from groundbreaking series and documentaries to the biggest blockbuster movies.
SUBSCRIBE TO HBO
Subscribe to the official HBO Channel for the latest on your favorite HBO series, movies, documentaries & sports specials: https://itsh.bo/youtube
GET HBO: https://itsh.bo/ways-to-get
MORE HBO
Official Site: https://itsh.bo/dotcom
Follow HBO on Instagram: https://itsh.bo/instagram
Follow HBO on TikTok: https://itsh.bo/tiktok
Follow HBO on Twitter: https://itsh.bo/twitter
Like HBO on Facebook: https://itsh.bo/facebook
published: 06 Oct 2022
-
We Beat The Dream Team | Official Trailer | HBO
The greatest basketball story you’ve never heard. Was it a fluke or something more?
The HBO Original Documentary #WeBeatTheDreamTeam premieres February 17 on @StreamOnMax
ABOUT HBO
HBO is home to the shows and films that everyone is talking about, from groundbreaking series and documentaries to the biggest blockbuster movies.
About Max:
Max is the culture-defining entertainment service for every mood. With a variety of genres that include your favorite series and movies from iconic brands and treasured franchises, it delivers irresistible stories every time. From reuniting with life-long favorites to uncovering new ones you haven’t discovered yet, there's something for every moment, every feeling, every you.
It’s all here. Iconic series, award-winning movies, fresh originals, and fami...
published: 05 Feb 2025
-
Mass Deportations: Last Week Tonight with John Oliver (HBO)
October 27th, 2024. Before the 2024 election, John Oliver discusses Donald Trump’s promises to carry out mass deportations, what some of his supporters might not realize about the details of those plans, and – shockingly – how Bill O’Reilly still has a show.
Connect with Last Week Tonight online...
Subscribe to the Last Week Tonight YouTube channel for more almost news as it almost happens: www.youtube.com/lastweektonight
Find Last Week Tonight on Facebook like your mom would: www.facebook.com/lastweektonight
Follow us on Twitter for news about jokes and jokes about news: www.twitter.com/lastweektonight
Visit our official site for all that other stuff at once: www.hbo.com/lastweektonight
published: 03 Feb 2025
-
Where Was Chernobyl Filmed? | 5 Key Filming Locations of HBO Series
The HBO miniseries Chernobyl captivated audiences worldwide with its meticulous portrayal of the 1986 nuclear disaster. While the series brings to life the harrowing events in Ukraine, much of its authenticity stems from filming locations in Lithuania, particularly Vilnius. Today, we'll explore five key sites that played pivotal roles in the series, delving into their histories and significance.
published: 07 Feb 2025
-
Chernobyl (2019) | Official Trailer | HBO
On April 26, 1986, the Chernobyl Nuclear Power Plant in Ukraine, Soviet Union suffered a massive explosion that released radioactive material across Belarus, Russia and Ukraine and as far as Scandinavia and western Europe. Chernobyl dramatizes the story of the 1986 accident, one of the worst man-made catastrophes in history, and the sacrifices made to save Europe from the unimaginable disaster. Chernobyl premieres May 6 on HBO.
#HBO #Chernobyl
Subscribe to the HBO YouTube Channel: https://goo.gl/wtFYd7
Don’t have HBO? Order Now: https://play.hbonow.com/
Get More HBO:
Get HBO GO: https://play.hbogo.com/
Like on Facebook: https://www.facebook.com/hbodocs
Follow on Twitter: https://twitter.com/HBODocs
Like on Instagram: https://www.instagram.com/hbo/
Subscribe on Tumblr: http://hbo.tumbl...
published: 28 Mar 2019
2:56
The White Lotus Season 3 | Official Trailer | Max
You will leave an entirely different person.
Season 3 of #TheWhiteLotus premieres February 16 on Max.
About Max:
Max is the culture-defining entertainment ser...
You will leave an entirely different person.
Season 3 of #TheWhiteLotus premieres February 16 on Max.
About Max:
Max is the culture-defining entertainment service for every mood. With a variety of genres that include your favorite series and movies from iconic brands and treasured franchises, it delivers irresistible stories every time. From reuniting with life-long favorites to uncovering new ones you haven’t discovered yet, there's something for every moment, every feeling, every you.
It’s all here. Iconic series, award-winning movies, fresh originals, and family favorites featuring the worlds of Harry Potter, the DC Universe, and HBO. Discover the best entertainment for every mood.
#WarnerBrosDiscovery #streamonmax
SUBSCRIBE TO MAX
https://streamonm.ax/3vgR69B
GET MAX
https://streamonm.ax/4a83GYO
FOLLOW MAX
Follow Max on YouTube: https://streamonm.ax/YouTube
Follow Max on Instagram: https://streamonm.ax/Instagram
Follow Max on TikTok: https://streamonm.ax/TikTok
Follow Max on Twitter: https://streamonm.ax/Twitter
Follow Max on Facebook: https://streamonm.ax/Facebook
https://wn.com/The_White_Lotus_Season_3_|_Official_Trailer_|_Max
You will leave an entirely different person.
Season 3 of #TheWhiteLotus premieres February 16 on Max.
About Max:
Max is the culture-defining entertainment service for every mood. With a variety of genres that include your favorite series and movies from iconic brands and treasured franchises, it delivers irresistible stories every time. From reuniting with life-long favorites to uncovering new ones you haven’t discovered yet, there's something for every moment, every feeling, every you.
It’s all here. Iconic series, award-winning movies, fresh originals, and family favorites featuring the worlds of Harry Potter, the DC Universe, and HBO. Discover the best entertainment for every mood.
#WarnerBrosDiscovery #streamonmax
SUBSCRIBE TO MAX
https://streamonm.ax/3vgR69B
GET MAX
https://streamonm.ax/4a83GYO
FOLLOW MAX
Follow Max on YouTube: https://streamonm.ax/YouTube
Follow Max on Instagram: https://streamonm.ax/Instagram
Follow Max on TikTok: https://streamonm.ax/TikTok
Follow Max on Twitter: https://streamonm.ax/Twitter
Follow Max on Facebook: https://streamonm.ax/Facebook
- published: 27 Jan 2025
- views: 8619606
1:09
The Last Of Us Season 2 | April 2025 | Max
April. #TheLastOfUs
About Max:
Max is the culture-defining entertainment service for every mood. With a variety of genres that include your favorite series an...
April. #TheLastOfUs
About Max:
Max is the culture-defining entertainment service for every mood. With a variety of genres that include your favorite series and movies from iconic brands and treasured franchises, it delivers irresistible stories every time. From reuniting with life-long favorites to uncovering new ones you haven’t discovered yet, there's something for every moment, every feeling, every you.
It’s all here. Iconic series, award-winning movies, fresh originals, and family favorites featuring the worlds of Harry Potter, the DC Universe, and HBO. Discover the best entertainment for every mood.
#WarnerBrosDiscovery #streamonmax
SUBSCRIBE TO MAX
https://streamonm.ax/3vgR69B
GET MAX
https://streamonm.ax/4a83GYO
FOLLOW MAX
Follow Max on YouTube: https://streamonm.ax/YouTube
Follow Max on Instagram: https://streamonm.ax/Instagram
Follow Max on TikTok: https://streamonm.ax/TikTok
Follow Max on Twitter: https://streamonm.ax/Twitter
Follow Max on Facebook: https://streamonm.ax/Facebook
https://wn.com/The_Last_Of_US_Season_2_|_April_2025_|_Max
April. #TheLastOfUs
About Max:
Max is the culture-defining entertainment service for every mood. With a variety of genres that include your favorite series and movies from iconic brands and treasured franchises, it delivers irresistible stories every time. From reuniting with life-long favorites to uncovering new ones you haven’t discovered yet, there's something for every moment, every feeling, every you.
It’s all here. Iconic series, award-winning movies, fresh originals, and family favorites featuring the worlds of Harry Potter, the DC Universe, and HBO. Discover the best entertainment for every mood.
#WarnerBrosDiscovery #streamonmax
SUBSCRIBE TO MAX
https://streamonm.ax/3vgR69B
GET MAX
https://streamonm.ax/4a83GYO
FOLLOW MAX
Follow Max on YouTube: https://streamonm.ax/YouTube
Follow Max on Instagram: https://streamonm.ax/Instagram
Follow Max on TikTok: https://streamonm.ax/TikTok
Follow Max on Twitter: https://streamonm.ax/Twitter
Follow Max on Facebook: https://streamonm.ax/Facebook
- published: 07 Jan 2025
- views: 2154146
7:49
Overtime: Rep. Byron Donalds, Tara Palmeri (HBO)
Bill and his guests – Congressman Byron Donalds (R-FL) and @TaraPalmeri – continue their conversation after the show.
Bill and his guests – Congressman Byron Donalds (R-FL) and @TaraPalmeri – continue their conversation after the show.
https://wn.com/Overtime_Rep._Byron_Donalds,_Tara_Palmeri_(Hbo)
Bill and his guests – Congressman Byron Donalds (R-FL) and @TaraPalmeri – continue their conversation after the show.
- published: 08 Feb 2025
- views: 122629
8:45
New Rule: Newer, Not Better | Real Time with Bill Maher (HBO)
Technology is supposed to make our lives easier, but now Silicon Valley runs the world, and their motto is, “if it ain’t broke, fuck with it.”
Technology is supposed to make our lives easier, but now Silicon Valley runs the world, and their motto is, “if it ain’t broke, fuck with it.”
https://wn.com/New_Rule_Newer,_Not_Better_|_Real_Time_With_Bill_Maher_(Hbo)
Technology is supposed to make our lives easier, but now Silicon Valley runs the world, and their motto is, “if it ain’t broke, fuck with it.”
- published: 08 Feb 2025
- views: 886140
1:57
The Last of Us - 2ª Temporada | Teaser Oficial | TLOU Day
Temporada 2. A série original HBO #TheLastOfUs volta em 2025 na Max. #TLOUDay
A #Max é a casa dos seus filmes e séries favoritos da Warner Bros., DC, Cartoon N...
Temporada 2. A série original HBO #TheLastOfUs volta em 2025 na Max. #TLOUDay
A #Max é a casa dos seus filmes e séries favoritos da Warner Bros., DC, Cartoon Network, TNT, Adult Swim, Discovery, HBO e Max Originals – além de TODOS os jogos da Champions League ao vivo! Tudo no mesmo lugar para você assistir quando e onde quiser. Nos vemos na max.com
Inscreva-se no canal: https://bit.ly/YouTubeStreamMaxBR
Me segue nas redes!
Twitter: https://twitter.com/StreamMaxBR
Instagram: https://www.instagram.com/streammaxbr/
Facebook: https://www.facebook.com/StreamMaxBR/
TikTok: https://www.tiktok.com/@streammaxbr
https://wn.com/The_Last_Of_US_2ª_Temporada_|_Teaser_Oficial_|_Tlou_Day
Temporada 2. A série original HBO #TheLastOfUs volta em 2025 na Max. #TLOUDay
A #Max é a casa dos seus filmes e séries favoritos da Warner Bros., DC, Cartoon Network, TNT, Adult Swim, Discovery, HBO e Max Originals – além de TODOS os jogos da Champions League ao vivo! Tudo no mesmo lugar para você assistir quando e onde quiser. Nos vemos na max.com
Inscreva-se no canal: https://bit.ly/YouTubeStreamMaxBR
Me segue nas redes!
Twitter: https://twitter.com/StreamMaxBR
Instagram: https://www.instagram.com/streammaxbr/
Facebook: https://www.facebook.com/StreamMaxBR/
TikTok: https://www.tiktok.com/@streammaxbr
- published: 26 Sep 2024
- views: 531879
2:37
The White Lotus Season 2 | Official Trailer | HBO
Experience all that #TheWhiteLotus Sicily has to offer. Season 2 premieres October 30 on @HBOMax.
And it’s just getting started. #HBO50
ABOUT HBO
HBO is hom...
Experience all that #TheWhiteLotus Sicily has to offer. Season 2 premieres October 30 on @HBOMax.
And it’s just getting started. #HBO50
ABOUT HBO
HBO is home to the shows and films that everyone is talking about, from groundbreaking series and documentaries to the biggest blockbuster movies.
SUBSCRIBE TO HBO
Subscribe to the official HBO Channel for the latest on your favorite HBO series, movies, documentaries & sports specials: https://itsh.bo/youtube
GET HBO: https://itsh.bo/ways-to-get
MORE HBO
Official Site: https://itsh.bo/dotcom
Follow HBO on Instagram: https://itsh.bo/instagram
Follow HBO on TikTok: https://itsh.bo/tiktok
Follow HBO on Twitter: https://itsh.bo/twitter
Like HBO on Facebook: https://itsh.bo/facebook
https://wn.com/The_White_Lotus_Season_2_|_Official_Trailer_|_Hbo
Experience all that #TheWhiteLotus Sicily has to offer. Season 2 premieres October 30 on @HBOMax.
And it’s just getting started. #HBO50
ABOUT HBO
HBO is home to the shows and films that everyone is talking about, from groundbreaking series and documentaries to the biggest blockbuster movies.
SUBSCRIBE TO HBO
Subscribe to the official HBO Channel for the latest on your favorite HBO series, movies, documentaries & sports specials: https://itsh.bo/youtube
GET HBO: https://itsh.bo/ways-to-get
MORE HBO
Official Site: https://itsh.bo/dotcom
Follow HBO on Instagram: https://itsh.bo/instagram
Follow HBO on TikTok: https://itsh.bo/tiktok
Follow HBO on Twitter: https://itsh.bo/twitter
Like HBO on Facebook: https://itsh.bo/facebook
- published: 06 Oct 2022
- views: 8828825
1:47
We Beat The Dream Team | Official Trailer | HBO
The greatest basketball story you’ve never heard. Was it a fluke or something more?
The HBO Original Documentary #WeBeatTheDreamTeam premieres February 17 on ...
The greatest basketball story you’ve never heard. Was it a fluke or something more?
The HBO Original Documentary #WeBeatTheDreamTeam premieres February 17 on @StreamOnMax
ABOUT HBO
HBO is home to the shows and films that everyone is talking about, from groundbreaking series and documentaries to the biggest blockbuster movies.
About Max:
Max is the culture-defining entertainment service for every mood. With a variety of genres that include your favorite series and movies from iconic brands and treasured franchises, it delivers irresistible stories every time. From reuniting with life-long favorites to uncovering new ones you haven’t discovered yet, there's something for every moment, every feeling, every you.
It’s all here. Iconic series, award-winning movies, fresh originals, and family favorites featuring the worlds of Harry Potter, the DC Universe, and HBO. Discover the best entertainment for every mood.
#WarnerBrosDiscovery #streamonmax
SUBSCRIBE TO HBO
https://streamonm.ax/3NXRAba
GET MAX
https://streamonm.ax/Max
MORE HBO
Official Site: https://itsh.bo/dotcom
Follow HBO on Instagram: https://itsh.bo/instagram
Follow HBO on TikTok: https://itsh.bo/tiktok
Follow HBO on Twitter: https://itsh.bo/twitter
Like HBO on Facebook: https://itsh.bo/facebook
https://wn.com/We_Beat_The_Dream_Team_|_Official_Trailer_|_Hbo
The greatest basketball story you’ve never heard. Was it a fluke or something more?
The HBO Original Documentary #WeBeatTheDreamTeam premieres February 17 on @StreamOnMax
ABOUT HBO
HBO is home to the shows and films that everyone is talking about, from groundbreaking series and documentaries to the biggest blockbuster movies.
About Max:
Max is the culture-defining entertainment service for every mood. With a variety of genres that include your favorite series and movies from iconic brands and treasured franchises, it delivers irresistible stories every time. From reuniting with life-long favorites to uncovering new ones you haven’t discovered yet, there's something for every moment, every feeling, every you.
It’s all here. Iconic series, award-winning movies, fresh originals, and family favorites featuring the worlds of Harry Potter, the DC Universe, and HBO. Discover the best entertainment for every mood.
#WarnerBrosDiscovery #streamonmax
SUBSCRIBE TO HBO
https://streamonm.ax/3NXRAba
GET MAX
https://streamonm.ax/Max
MORE HBO
Official Site: https://itsh.bo/dotcom
Follow HBO on Instagram: https://itsh.bo/instagram
Follow HBO on TikTok: https://itsh.bo/tiktok
Follow HBO on Twitter: https://itsh.bo/twitter
Like HBO on Facebook: https://itsh.bo/facebook
- published: 05 Feb 2025
- views: 65995
19:10
Mass Deportations: Last Week Tonight with John Oliver (HBO)
October 27th, 2024. Before the 2024 election, John Oliver discusses Donald Trump’s promises to carry out mass deportations, what some of his supporters might no...
October 27th, 2024. Before the 2024 election, John Oliver discusses Donald Trump’s promises to carry out mass deportations, what some of his supporters might not realize about the details of those plans, and – shockingly – how Bill O’Reilly still has a show.
Connect with Last Week Tonight online...
Subscribe to the Last Week Tonight YouTube channel for more almost news as it almost happens: www.youtube.com/lastweektonight
Find Last Week Tonight on Facebook like your mom would: www.facebook.com/lastweektonight
Follow us on Twitter for news about jokes and jokes about news: www.twitter.com/lastweektonight
Visit our official site for all that other stuff at once: www.hbo.com/lastweektonight
https://wn.com/Mass_Deportations_Last_Week_Tonight_With_John_Oliver_(Hbo)
October 27th, 2024. Before the 2024 election, John Oliver discusses Donald Trump’s promises to carry out mass deportations, what some of his supporters might not realize about the details of those plans, and – shockingly – how Bill O’Reilly still has a show.
Connect with Last Week Tonight online...
Subscribe to the Last Week Tonight YouTube channel for more almost news as it almost happens: www.youtube.com/lastweektonight
Find Last Week Tonight on Facebook like your mom would: www.facebook.com/lastweektonight
Follow us on Twitter for news about jokes and jokes about news: www.twitter.com/lastweektonight
Visit our official site for all that other stuff at once: www.hbo.com/lastweektonight
- published: 03 Feb 2025
- views: 717696
3:45
Where Was Chernobyl Filmed? | 5 Key Filming Locations of HBO Series
The HBO miniseries Chernobyl captivated audiences worldwide with its meticulous portrayal of the 1986 nuclear disaster. While the series brings to life the harr...
The HBO miniseries Chernobyl captivated audiences worldwide with its meticulous portrayal of the 1986 nuclear disaster. While the series brings to life the harrowing events in Ukraine, much of its authenticity stems from filming locations in Lithuania, particularly Vilnius. Today, we'll explore five key sites that played pivotal roles in the series, delving into their histories and significance.
https://wn.com/Where_Was_Chernobyl_Filmed_|_5_Key_Filming_Locations_Of_Hbo_Series
The HBO miniseries Chernobyl captivated audiences worldwide with its meticulous portrayal of the 1986 nuclear disaster. While the series brings to life the harrowing events in Ukraine, much of its authenticity stems from filming locations in Lithuania, particularly Vilnius. Today, we'll explore five key sites that played pivotal roles in the series, delving into their histories and significance.
- published: 07 Feb 2025
- views: 97
2:39
Chernobyl (2019) | Official Trailer | HBO
On April 26, 1986, the Chernobyl Nuclear Power Plant in Ukraine, Soviet Union suffered a massive explosion that released radioactive material across Belarus, Ru...
On April 26, 1986, the Chernobyl Nuclear Power Plant in Ukraine, Soviet Union suffered a massive explosion that released radioactive material across Belarus, Russia and Ukraine and as far as Scandinavia and western Europe. Chernobyl dramatizes the story of the 1986 accident, one of the worst man-made catastrophes in history, and the sacrifices made to save Europe from the unimaginable disaster. Chernobyl premieres May 6 on HBO.
#HBO #Chernobyl
Subscribe to the HBO YouTube Channel: https://goo.gl/wtFYd7
Don’t have HBO? Order Now: https://play.hbonow.com/
Get More HBO:
Get HBO GO: https://play.hbogo.com/
Like on Facebook: https://www.facebook.com/hbodocs
Follow on Twitter: https://twitter.com/HBODocs
Like on Instagram: https://www.instagram.com/hbo/
Subscribe on Tumblr: http://hbo.tumblr.com/
Official Site: http://www.hbo.com
https://wn.com/Chernobyl_(2019)_|_Official_Trailer_|_Hbo
On April 26, 1986, the Chernobyl Nuclear Power Plant in Ukraine, Soviet Union suffered a massive explosion that released radioactive material across Belarus, Russia and Ukraine and as far as Scandinavia and western Europe. Chernobyl dramatizes the story of the 1986 accident, one of the worst man-made catastrophes in history, and the sacrifices made to save Europe from the unimaginable disaster. Chernobyl premieres May 6 on HBO.
#HBO #Chernobyl
Subscribe to the HBO YouTube Channel: https://goo.gl/wtFYd7
Don’t have HBO? Order Now: https://play.hbonow.com/
Get More HBO:
Get HBO GO: https://play.hbogo.com/
Like on Facebook: https://www.facebook.com/hbodocs
Follow on Twitter: https://twitter.com/HBODocs
Like on Instagram: https://www.instagram.com/hbo/
Subscribe on Tumblr: http://hbo.tumblr.com/
Official Site: http://www.hbo.com
- published: 28 Mar 2019
- views: 40011907
-
Pre-trained Ensembles for Bayesian Optimization of Protein Sequences | Ziyue Yang
If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://m2d2.io/talks/m2d2/about/
Also consider joining the M2D2 Slack: https://m2d2group.slack.com/join/shared_invite/zt-16w1rjqqs-n81TiK~iB23XbZ0QWMYs~A#/shared-invite/email
Title: Now What Sequence? Pre-trained Ensembles for Bayesian Optimization of Protein Sequences
Abstract: Pre-trained models have been transformative in natural language, computer vision, and now protein sequences by enabling accuracy with few training examples. We show how to use pretrained sequence models in Bayesian optimization to design new protein sequences with minimal labels (i.e., few experiments). Pre-trained models give good predictive accuracy at low data and Bayesian optimization guides the choice of...
published: 27 Oct 2022
-
SGP 2021 - Discrete Optimization for Shape Matching
We propose a novel discrete solver for optimizing functional map-based energies, including descriptor preservation and promoting structural properties such as area-preservation, bijectivity and Laplacian commutativity among others. Unlike the commonly-used continuous optimization methods, our approach enforces the functional map to be associated with a pointwise correspondence as a hard constraint, which provides a stronger link between optimized properties of functional and point-to-point maps. Under this hard constraint, our solver obtains functional maps with lower energy values compared to the standard continuous strategies. Perhaps more importantly, the recovered pointwise maps from our discrete solver preserve the optimized for functional properties and are thus of higher overall qua...
published: 05 Jul 2021
-
Protein Design with Guided Discrete Diffusion
Nate Gruver, Samuel Stanton
Title: Protein Design with Guided Discrete Diffusion
Summary: A popular approach to protein design is to combine a generative model with a discriminative model for conditional sampling. The generative model samples plausible sequences while the discriminative model guides a search for sequences with high fitness. Given its broad success in conditional sampling, classifier-guided diffusion modeling is a promising foundation for protein design, leading many to develop guided diffusion models for structure with inverse folding to recover sequences. In this work, we propose diffusioN Optimized Sampling (NOS), a guidance method for discrete diffusion models that follows gradients in the hidden states of the denoising network. NOS makes it possible to perform design...
published: 12 Jan 2024
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Protein Discovery with Discrete Walk-Jump Sampling
Tuesday September 26th, 4-5 pm EST | Nathan C. Frey, ML Scientist & Group Leader, Prescient Design, Genentech
Abstract: We resolve difficulties in training and sampling from a discrete generative model by learning a smoothed energy function, sampling from the smoothed data manifold with Langevin Markov chain Monte Carlo (MCMC), and projecting back to the true data manifold with one-step denoising. Our Discrete Walk-Jump Sampling formalism combines the maximum likelihood training of an energy-based model and improved sample quality of a score-based model, while simplifying training and sampling by requiring only a single noise level. We evaluate the robustness of our approach on generative modeling of antibody proteins and introduce the distributional conformity score to benchmark protein ...
published: 07 Oct 2023
-
[ICLR 2024 Outstanding Paper Winner] Protein Discovery with Discrete Walk-Jump Sampling
https://arxiv.org/pdf/2306.12360
We resolve difficulties in training and sampling from a discrete generative model by learning a smoothed energy function, sampling from the smoothed data manifold with Langevin Markov chain Monte Carlo (MCMC), and projecting back to the true data manifold with one-step denoising. Our Discrete Walk-Jump Sampling formalism combines the contrastive divergence training of an energy-based model and improved sample quality of a score-based model, while simplifying training and sampling by requiring only a single noise level. We evaluate the robustness of our approach on generative modeling of antibody proteins and introduce the distributional conformity score to benchmark protein generative models. By optimizing and sampling from our models for the proposed dist...
published: 14 May 2024
-
Protein Discovery with Discrete Walk-Jump Sampling | Nathan Frey
Portal is the home of the AI for drug discovery community. Join for more details on this talk and to connect with the speakers: https://portal.valencelabs.com/logg
Note: This session was zoom-bombed. We tried to edit the video but there may be some interruptions or imagery.
Abstract: We resolve difficulties in training and sampling from a discrete generative model by learning a smoothed energy function, sampling from the smoothed data manifold with Langevin Markov chain Monte Carlo (MCMC), and projecting back to the true data manifold with one-step denoising. Our Discrete Walk-Jump Sampling formalism combines the maximum likelihood training of an energy-based model and improved sample quality of a score-based model, while simplifying training and sampling by requiring only a single noise...
published: 15 Feb 2024
-
Protein sequence design by explicit energy landscape optimization
presented on August 5th 2020
speaker: Sergey Ovchinnikov
slides: https://colab.research.google.com/drive/1hMEZdT5z_1wzAvfrt5pYz1sYtkBGSZt6
published: 16 Jan 2023
-
An Efficient Parallel Algorithm for Accelerating Computational Protein... - Yichao Zhou - ISMB 2014
An Efficient Parallel Algorithm for Accelerating Computational Protein Design - Yichao Zhou - ISMB 2014
published: 11 Aug 2020
-
MET 503 Lecture 18: Multi-Objective Optimization Problem
Methods to solve multi-objective optimization problems:
1) Weighted Sum
2) e-Constraint
Pareto Frontiers: a set of non-dominated solutions
published: 31 Mar 2020
-
Vinod Nair - Restricted Boltzmann Machines for Maximum Satisfiability - IPAM at UCLA
Recorded 27 February 2023. Vinod Nair of Google Brain presents "Restricted Boltzmann Machines for Maximum Satisfiability" at IPAM's Artificial Intelligence and Discrete Optimization Workshop.
Abstract: In the past two decades, machine learning workloads have been transformed by the availability of programmable, high-throughput numerical accelerator hardware. By contrast, discrete combinatorial optimization research has largely remained the remit of conventional CPUs. We investigate the application of stochastic search to Maximum Satisfiability (MaxSAT) through a procedure designed to leverage the high-throughput matrix multiplication capabilities of modern neural network accelerators. Given a MaxSAT problem instance in conjunctive normal form, our procedure constructs a Restricted Boltzman...
published: 27 Feb 2023
49:01
Pre-trained Ensembles for Bayesian Optimization of Protein Sequences | Ziyue Yang
If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://m2d2.io/talks/m2d2/about/
Also consider joining...
If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://m2d2.io/talks/m2d2/about/
Also consider joining the M2D2 Slack: https://m2d2group.slack.com/join/shared_invite/zt-16w1rjqqs-n81TiK~iB23XbZ0QWMYs~A#/shared-invite/email
Title: Now What Sequence? Pre-trained Ensembles for Bayesian Optimization of Protein Sequences
Abstract: Pre-trained models have been transformative in natural language, computer vision, and now protein sequences by enabling accuracy with few training examples. We show how to use pretrained sequence models in Bayesian optimization to design new protein sequences with minimal labels (i.e., few experiments). Pre-trained models give good predictive accuracy at low data and Bayesian optimization guides the choice of which sequences to test. Pre-trained sequence models also obviate the common requirement of finite pools. Any sequence can be considered. We show significantly fewer labeled sequences are required for many sequence design tasks, including creating novel peptide inhibitors with AlphaFold. This work should enable calibrated predictions with few examples and iterative design with low data (1-50).
Paper - https://www.biorxiv.org/content/10.1101/2022.08.05.502972v1
Speakers: Ziyue Yang - https://twitter.com/ZiyueYang37
Twitter Prudencio: https://twitter.com/tossouprudencio
Twitter Therence: https://twitter.com/Therence_mtl
Twitter Cas: https://twitter.com/cas_wognum
Twitter Valence Discovery: https://twitter.com/valence_ai
~
Chapters:
00:00 - Intro
02:34 - Sequences & Pre-trained Models
05:18 - Bayesian Approach
11:50 - Latent Space for Optimization
18:29 - Gumbel Softmax Trick
24:11 - Calibration at Low Data
35:29 - Conclusions
44:43 - Q+A
https://wn.com/Pre_Trained_Ensembles_For_Bayesian_Optimization_Of_Protein_Sequences_|_Ziyue_Yang
If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://m2d2.io/talks/m2d2/about/
Also consider joining the M2D2 Slack: https://m2d2group.slack.com/join/shared_invite/zt-16w1rjqqs-n81TiK~iB23XbZ0QWMYs~A#/shared-invite/email
Title: Now What Sequence? Pre-trained Ensembles for Bayesian Optimization of Protein Sequences
Abstract: Pre-trained models have been transformative in natural language, computer vision, and now protein sequences by enabling accuracy with few training examples. We show how to use pretrained sequence models in Bayesian optimization to design new protein sequences with minimal labels (i.e., few experiments). Pre-trained models give good predictive accuracy at low data and Bayesian optimization guides the choice of which sequences to test. Pre-trained sequence models also obviate the common requirement of finite pools. Any sequence can be considered. We show significantly fewer labeled sequences are required for many sequence design tasks, including creating novel peptide inhibitors with AlphaFold. This work should enable calibrated predictions with few examples and iterative design with low data (1-50).
Paper - https://www.biorxiv.org/content/10.1101/2022.08.05.502972v1
Speakers: Ziyue Yang - https://twitter.com/ZiyueYang37
Twitter Prudencio: https://twitter.com/tossouprudencio
Twitter Therence: https://twitter.com/Therence_mtl
Twitter Cas: https://twitter.com/cas_wognum
Twitter Valence Discovery: https://twitter.com/valence_ai
~
Chapters:
00:00 - Intro
02:34 - Sequences & Pre-trained Models
05:18 - Bayesian Approach
11:50 - Latent Space for Optimization
18:29 - Gumbel Softmax Trick
24:11 - Calibration at Low Data
35:29 - Conclusions
44:43 - Q+A
- published: 27 Oct 2022
- views: 802
15:08
SGP 2021 - Discrete Optimization for Shape Matching
We propose a novel discrete solver for optimizing functional map-based energies, including descriptor preservation and promoting structural properties such as a...
We propose a novel discrete solver for optimizing functional map-based energies, including descriptor preservation and promoting structural properties such as area-preservation, bijectivity and Laplacian commutativity among others. Unlike the commonly-used continuous optimization methods, our approach enforces the functional map to be associated with a pointwise correspondence as a hard constraint, which provides a stronger link between optimized properties of functional and point-to-point maps. Under this hard constraint, our solver obtains functional maps with lower energy values compared to the standard continuous strategies. Perhaps more importantly, the recovered pointwise maps from our discrete solver preserve the optimized for functional properties and are thus of higher overall quality. We demonstrate the advantages of our discrete solver on a range of energies and shape categories, compared to existing techniques for promoting pointwise maps within the functional map framework. Finally, with this solver in hand, we introduce a novel Effective Functional Map Refinement (EFMR) method which achieves the state-of-the-art accuracy on the SHREC'19 benchmark.
https://wn.com/Sgp_2021_Discrete_Optimization_For_Shape_Matching
We propose a novel discrete solver for optimizing functional map-based energies, including descriptor preservation and promoting structural properties such as area-preservation, bijectivity and Laplacian commutativity among others. Unlike the commonly-used continuous optimization methods, our approach enforces the functional map to be associated with a pointwise correspondence as a hard constraint, which provides a stronger link between optimized properties of functional and point-to-point maps. Under this hard constraint, our solver obtains functional maps with lower energy values compared to the standard continuous strategies. Perhaps more importantly, the recovered pointwise maps from our discrete solver preserve the optimized for functional properties and are thus of higher overall quality. We demonstrate the advantages of our discrete solver on a range of energies and shape categories, compared to existing techniques for promoting pointwise maps within the functional map framework. Finally, with this solver in hand, we introduce a novel Effective Functional Map Refinement (EFMR) method which achieves the state-of-the-art accuracy on the SHREC'19 benchmark.
- published: 05 Jul 2021
- views: 466
58:05
Protein Design with Guided Discrete Diffusion
Nate Gruver, Samuel Stanton
Title: Protein Design with Guided Discrete Diffusion
Summary: A popular approach to protein design is to combine a generative mode...
Nate Gruver, Samuel Stanton
Title: Protein Design with Guided Discrete Diffusion
Summary: A popular approach to protein design is to combine a generative model with a discriminative model for conditional sampling. The generative model samples plausible sequences while the discriminative model guides a search for sequences with high fitness. Given its broad success in conditional sampling, classifier-guided diffusion modeling is a promising foundation for protein design, leading many to develop guided diffusion models for structure with inverse folding to recover sequences. In this work, we propose diffusioN Optimized Sampling (NOS), a guidance method for discrete diffusion models that follows gradients in the hidden states of the denoising network. NOS makes it possible to perform design directly in sequence space, circumventing significant limitations of structure-based methods, including scarce data and challenging inverse design. Moreover, we use NOS to generalize LaMBO, a Bayesian optimization procedure for sequence design that facilitates multiple objectives and edit-based constraints. The resulting method, LaMBO-2, enables discrete diffusions and stronger performance with limited edits through a novel application of saliency maps. We apply LaMBO-2 to a real-world protein design task, optimizing antibodies for higher expression yield and binding affinity to several therapeutic targets under locality and developability constraints, attaining a 99% expression rate and 40% binding rate in exploratory in vitro experiments.
Paper: https://arxiv.org/abs/2305.20009
https://wn.com/Protein_Design_With_Guided_Discrete_Diffusion
Nate Gruver, Samuel Stanton
Title: Protein Design with Guided Discrete Diffusion
Summary: A popular approach to protein design is to combine a generative model with a discriminative model for conditional sampling. The generative model samples plausible sequences while the discriminative model guides a search for sequences with high fitness. Given its broad success in conditional sampling, classifier-guided diffusion modeling is a promising foundation for protein design, leading many to develop guided diffusion models for structure with inverse folding to recover sequences. In this work, we propose diffusioN Optimized Sampling (NOS), a guidance method for discrete diffusion models that follows gradients in the hidden states of the denoising network. NOS makes it possible to perform design directly in sequence space, circumventing significant limitations of structure-based methods, including scarce data and challenging inverse design. Moreover, we use NOS to generalize LaMBO, a Bayesian optimization procedure for sequence design that facilitates multiple objectives and edit-based constraints. The resulting method, LaMBO-2, enables discrete diffusions and stronger performance with limited edits through a novel application of saliency maps. We apply LaMBO-2 to a real-world protein design task, optimizing antibodies for higher expression yield and binding affinity to several therapeutic targets under locality and developability constraints, attaining a 99% expression rate and 40% binding rate in exploratory in vitro experiments.
Paper: https://arxiv.org/abs/2305.20009
- published: 12 Jan 2024
- views: 2404
26:36
Protein Discovery with Discrete Walk-Jump Sampling
Tuesday September 26th, 4-5 pm EST | Nathan C. Frey, ML Scientist & Group Leader, Prescient Design, Genentech
Abstract: We resolve difficulties in training and...
Tuesday September 26th, 4-5 pm EST | Nathan C. Frey, ML Scientist & Group Leader, Prescient Design, Genentech
Abstract: We resolve difficulties in training and sampling from a discrete generative model by learning a smoothed energy function, sampling from the smoothed data manifold with Langevin Markov chain Monte Carlo (MCMC), and projecting back to the true data manifold with one-step denoising. Our Discrete Walk-Jump Sampling formalism combines the maximum likelihood training of an energy-based model and improved sample quality of a score-based model, while simplifying training and sampling by requiring only a single noise level. We evaluate the robustness of our approach on generative modeling of antibody proteins and introduce the distributional conformity score to benchmark protein generative models. By optimizing and sampling from our models for the proposed distributional conformity score, 97-100% of generated samples are successfully expressed and purified and 70% of functional designs show equal or improved binding affinity compared to known functional antibodies on the first attempt in a single round of laboratory experiments. We also report the first demonstration of long-run fast-mixing MCMC chains where diverse antibody protein classes are visited in a single MCMC chain.
Preprint: https://arxiv.org/abs/2306.12360
https://wn.com/Protein_Discovery_With_Discrete_Walk_Jump_Sampling
Tuesday September 26th, 4-5 pm EST | Nathan C. Frey, ML Scientist & Group Leader, Prescient Design, Genentech
Abstract: We resolve difficulties in training and sampling from a discrete generative model by learning a smoothed energy function, sampling from the smoothed data manifold with Langevin Markov chain Monte Carlo (MCMC), and projecting back to the true data manifold with one-step denoising. Our Discrete Walk-Jump Sampling formalism combines the maximum likelihood training of an energy-based model and improved sample quality of a score-based model, while simplifying training and sampling by requiring only a single noise level. We evaluate the robustness of our approach on generative modeling of antibody proteins and introduce the distributional conformity score to benchmark protein generative models. By optimizing and sampling from our models for the proposed distributional conformity score, 97-100% of generated samples are successfully expressed and purified and 70% of functional designs show equal or improved binding affinity compared to known functional antibodies on the first attempt in a single round of laboratory experiments. We also report the first demonstration of long-run fast-mixing MCMC chains where diverse antibody protein classes are visited in a single MCMC chain.
Preprint: https://arxiv.org/abs/2306.12360
- published: 07 Oct 2023
- views: 1164
10:59
[ICLR 2024 Outstanding Paper Winner] Protein Discovery with Discrete Walk-Jump Sampling
https://arxiv.org/pdf/2306.12360
We resolve difficulties in training and sampling from a discrete generative model by learning a smoothed energy function, samp...
https://arxiv.org/pdf/2306.12360
We resolve difficulties in training and sampling from a discrete generative model by learning a smoothed energy function, sampling from the smoothed data manifold with Langevin Markov chain Monte Carlo (MCMC), and projecting back to the true data manifold with one-step denoising. Our Discrete Walk-Jump Sampling formalism combines the contrastive divergence training of an energy-based model and improved sample quality of a score-based model, while simplifying training and sampling by requiring only a single noise level. We evaluate the robustness of our approach on generative modeling of antibody proteins and introduce the distributional conformity score to benchmark protein generative models. By optimizing and sampling from our models for the proposed distributional conformity score, 97-100% of generated samples are successfully expressed and purified and 70% of functional designs show equal or improved binding affinity compared to known functional antibodies on the first attempt in a single round of laboratory experiments. We also report the first demonstration of long-run fast-mixing MCMC chains where diverse antibody protein classes are visited in a single MCMC chain.
https://wn.com/Iclr_2024_Outstanding_Paper_Winner_Protein_Discovery_With_Discrete_Walk_Jump_Sampling
https://arxiv.org/pdf/2306.12360
We resolve difficulties in training and sampling from a discrete generative model by learning a smoothed energy function, sampling from the smoothed data manifold with Langevin Markov chain Monte Carlo (MCMC), and projecting back to the true data manifold with one-step denoising. Our Discrete Walk-Jump Sampling formalism combines the contrastive divergence training of an energy-based model and improved sample quality of a score-based model, while simplifying training and sampling by requiring only a single noise level. We evaluate the robustness of our approach on generative modeling of antibody proteins and introduce the distributional conformity score to benchmark protein generative models. By optimizing and sampling from our models for the proposed distributional conformity score, 97-100% of generated samples are successfully expressed and purified and 70% of functional designs show equal or improved binding affinity compared to known functional antibodies on the first attempt in a single round of laboratory experiments. We also report the first demonstration of long-run fast-mixing MCMC chains where diverse antibody protein classes are visited in a single MCMC chain.
- published: 14 May 2024
- views: 207
55:11
Protein Discovery with Discrete Walk-Jump Sampling | Nathan Frey
Portal is the home of the AI for drug discovery community. Join for more details on this talk and to connect with the speakers: https://portal.valencelabs.com/l...
Portal is the home of the AI for drug discovery community. Join for more details on this talk and to connect with the speakers: https://portal.valencelabs.com/logg
Note: This session was zoom-bombed. We tried to edit the video but there may be some interruptions or imagery.
Abstract: We resolve difficulties in training and sampling from a discrete generative model by learning a smoothed energy function, sampling from the smoothed data manifold with Langevin Markov chain Monte Carlo (MCMC), and projecting back to the true data manifold with one-step denoising. Our Discrete Walk-Jump Sampling formalism combines the maximum likelihood training of an energy-based model and improved sample quality of a score-based model, while simplifying training and sampling by requiring only a single noise level. We evaluate the robustness of our approach on generative modeling of antibody proteins and introduce the distributional conformity score to benchmark protein generative models. By optimizing and sampling from our models for the proposed distributional conformity score, 97-100% of generated samples are successfully expressed and purified and 35% of functional designs show equal or improved binding affinity compared to known functional antibodies on the first attempt in a single round of laboratory experiments. We also report the first demonstration of long-run fast-mixing MCMC chains where diverse antibody protein classes are visited in a single MCMC chain.
Speaker: Nathan Frey - https://twitter.com/nc_frey
Twitter Hannes: https://twitter.com/HannesStaerk
Twitter Dominique: https://twitter.com/dom_beaini
~
Chapters
00:00 - Intro + Background
03:35 - Learning Scores on a Smooth Manifold
16:00 - Discrete Walk-Jump Sampling
25:58 - WJS Produces High Fitness Molecules
38:10 - Discussion
54:50 - Conclusion
https://wn.com/Protein_Discovery_With_Discrete_Walk_Jump_Sampling_|_Nathan_Frey
Portal is the home of the AI for drug discovery community. Join for more details on this talk and to connect with the speakers: https://portal.valencelabs.com/logg
Note: This session was zoom-bombed. We tried to edit the video but there may be some interruptions or imagery.
Abstract: We resolve difficulties in training and sampling from a discrete generative model by learning a smoothed energy function, sampling from the smoothed data manifold with Langevin Markov chain Monte Carlo (MCMC), and projecting back to the true data manifold with one-step denoising. Our Discrete Walk-Jump Sampling formalism combines the maximum likelihood training of an energy-based model and improved sample quality of a score-based model, while simplifying training and sampling by requiring only a single noise level. We evaluate the robustness of our approach on generative modeling of antibody proteins and introduce the distributional conformity score to benchmark protein generative models. By optimizing and sampling from our models for the proposed distributional conformity score, 97-100% of generated samples are successfully expressed and purified and 35% of functional designs show equal or improved binding affinity compared to known functional antibodies on the first attempt in a single round of laboratory experiments. We also report the first demonstration of long-run fast-mixing MCMC chains where diverse antibody protein classes are visited in a single MCMC chain.
Speaker: Nathan Frey - https://twitter.com/nc_frey
Twitter Hannes: https://twitter.com/HannesStaerk
Twitter Dominique: https://twitter.com/dom_beaini
~
Chapters
00:00 - Intro + Background
03:35 - Learning Scores on a Smooth Manifold
16:00 - Discrete Walk-Jump Sampling
25:58 - WJS Produces High Fitness Molecules
38:10 - Discussion
54:50 - Conclusion
- published: 15 Feb 2024
- views: 700
1:30:36
Protein sequence design by explicit energy landscape optimization
presented on August 5th 2020
speaker: Sergey Ovchinnikov
slides: https://colab.research.google.com/drive/1hMEZdT5z_1wzAvfrt5pYz1sYtkBGSZt6
presented on August 5th 2020
speaker: Sergey Ovchinnikov
slides: https://colab.research.google.com/drive/1hMEZdT5z_1wzAvfrt5pYz1sYtkBGSZt6
https://wn.com/Protein_Sequence_Design_By_Explicit_Energy_Landscape_Optimization
presented on August 5th 2020
speaker: Sergey Ovchinnikov
slides: https://colab.research.google.com/drive/1hMEZdT5z_1wzAvfrt5pYz1sYtkBGSZt6
- published: 16 Jan 2023
- views: 1646
1:20:31
MET 503 Lecture 18: Multi-Objective Optimization Problem
Methods to solve multi-objective optimization problems:
1) Weighted Sum
2) e-Constraint
Pareto Frontiers: a set of non-dominated solutions
Methods to solve multi-objective optimization problems:
1) Weighted Sum
2) e-Constraint
Pareto Frontiers: a set of non-dominated solutions
https://wn.com/Met_503_Lecture_18_Multi_Objective_Optimization_Problem
Methods to solve multi-objective optimization problems:
1) Weighted Sum
2) e-Constraint
Pareto Frontiers: a set of non-dominated solutions
- published: 31 Mar 2020
- views: 12141
55:43
Vinod Nair - Restricted Boltzmann Machines for Maximum Satisfiability - IPAM at UCLA
Recorded 27 February 2023. Vinod Nair of Google Brain presents "Restricted Boltzmann Machines for Maximum Satisfiability" at IPAM's Artificial Intelligence and ...
Recorded 27 February 2023. Vinod Nair of Google Brain presents "Restricted Boltzmann Machines for Maximum Satisfiability" at IPAM's Artificial Intelligence and Discrete Optimization Workshop.
Abstract: In the past two decades, machine learning workloads have been transformed by the availability of programmable, high-throughput numerical accelerator hardware. By contrast, discrete combinatorial optimization research has largely remained the remit of conventional CPUs. We investigate the application of stochastic search to Maximum Satisfiability (MaxSAT) through a procedure designed to leverage the high-throughput matrix multiplication capabilities of modern neural network accelerators. Given a MaxSAT problem instance in conjunctive normal form, our procedure constructs a Restricted Boltzmann Machine with an equilibrium distribution wherein the probability of any Boolean assignment is exponential in the number of clauses it satisfies. We search the space of satisfying assignments using chain-parallel, device-parallel block Gibbs sampling, periodically improving assignments using a classical heuristic. We present timed results on a subset of problem instances from annual MaxSAT
Evaluations for the years 2018 to 2021, as well as an ablation study. Results demonstrate that our simple stochastic search approach can exploit horizontally-scaled accelerator parallelism for tackling challenging combinatorial optimization, suggesting new directions for the study of such problems.
Learn more online at: http://www.ipam.ucla.edu/programs/workshops/artificial-intelligence-and-discrete-optimization/
https://wn.com/Vinod_Nair_Restricted_Boltzmann_Machines_For_Maximum_Satisfiability_Ipam_At_Ucla
Recorded 27 February 2023. Vinod Nair of Google Brain presents "Restricted Boltzmann Machines for Maximum Satisfiability" at IPAM's Artificial Intelligence and Discrete Optimization Workshop.
Abstract: In the past two decades, machine learning workloads have been transformed by the availability of programmable, high-throughput numerical accelerator hardware. By contrast, discrete combinatorial optimization research has largely remained the remit of conventional CPUs. We investigate the application of stochastic search to Maximum Satisfiability (MaxSAT) through a procedure designed to leverage the high-throughput matrix multiplication capabilities of modern neural network accelerators. Given a MaxSAT problem instance in conjunctive normal form, our procedure constructs a Restricted Boltzmann Machine with an equilibrium distribution wherein the probability of any Boolean assignment is exponential in the number of clauses it satisfies. We search the space of satisfying assignments using chain-parallel, device-parallel block Gibbs sampling, periodically improving assignments using a classical heuristic. We present timed results on a subset of problem instances from annual MaxSAT
Evaluations for the years 2018 to 2021, as well as an ablation study. Results demonstrate that our simple stochastic search approach can exploit horizontally-scaled accelerator parallelism for tackling challenging combinatorial optimization, suggesting new directions for the study of such problems.
Learn more online at: http://www.ipam.ucla.edu/programs/workshops/artificial-intelligence-and-discrete-optimization/
- published: 27 Feb 2023
- views: 634