Tomas Geffner @tomasgeffner
(ex) tennis, (trying) ML. Research Scientist at NVIDIA, views are my own. Previously, intern at DeepMind, VantAI, Microsoft research, and Amazon AWS. tomasgeffner.github.io Joined July 2019-
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Tomas Geffner retweeted
Partially-latent flow matching enables sequence-structure codesign of large proteins and functional motif scaffolding. @tomasgeffner @DidiKieran @ZhonglinJC @Oxer22 @sacdallago @karsten_kreis @ArashVahdat
Tomas Geffner retweeted
Tomas Geffner retweeted
Hybrid explicit-latent flows are the new foundation models for protein structures. La-Proteina shows that one network can design 800-residue, all-atom structures and sequences, then perform well at motif scaffolding. Read more: nvda.ws/4nOjBSL
Tomas Geffner retweeted
These guys are crushing all of the benchmarks 🦾. Congrats to @tomasgeffner, @DidiKieran and team!
These guys are crushing all of the benchmarks 🦾. Congrats to @tomasgeffner, @DidiKieran and team!
Tomas Geffner retweeted
Announcing Neo-1: the world’s most advanced atomistic foundation model, unifying structure prediction and all-atom de novo generation for the first time - to decode and design the structure of life 🧵(1/10)
Tomas Geffner retweeted
The NVIDIA bio generative modelling folks @tomasgeffner @DidiKieran @karsten_kreis @ArashVahdat & co (and their interns :)) are on an absolute tear this year and this one you don't want to miss!!
The NVIDIA bio generative modelling folks @tomasgeffner @DidiKieran @karsten_kreis @ArashVahdat & co (and their interns :)) are on an absolute tear this year and this one you don't want to miss!!
Tomas Geffner retweeted
📢 Join us next week for a talk with @karsten_kreis and @tomasgeffner on their recent paper Proteina: Scaling Flow-based Protein Structure Generative Models. As always with @mmbronstein & @befcorreia When: Fri, Mar 14 - 5p CET/11a ET Sign-up: genaiindrugdiscovery.com
Check out Proteina! Paper, code, and nice visuals on the project page research.nvidia.com/labs/genair/pr…
Check out Proteina! Paper, code, and nice visuals on the project page research.nvidia.com/labs/genair/pr…
Tomas Geffner retweeted
Chai-1 has always been available for commercial use via our server. Today, we're also making Chai-1(r) code and weights available under an Apache 2.0 license, which permits broad commercial use. github.com/chaidiscovery/…
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