
Karsten Kreis
@karsten_kreis
Principal Research Scientist at @NVIDIA | Former Physicist | Deep Generative Learning.
Opinions are my own.
ID: 1402885929937915905
https://karstenkreis.github.io/ 10-06-2021 07:10:57
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The NVIDIA bio generative modelling folks Tomas Geffner Kieran Didi @ICLR Karsten Kreis Arash Vahdat & co (and their interns :)) are on an absolute tear this year and this one you don't want to miss!!

🔥Large-scale protein structure generation? Flow Matching? Fold class guidance? Big transformers? State-of-the-art benchmark performance?🔥 Very excited for this session on Friday, with the amazing Tomas Geffner, & hosted by Michael Bronstein, Bruno Correia! Hope to see you there! 😀

Our talk with Karsten Kreis and Tomas Geffner on Proteina—Scaling Flow-based Protein Structure Generative Models—is now available on YouTube: youtu.be/-Qlc4dNj4e8?si…




📢 EquiVDM: Equivariant Video Diffusion Models with Temporally Consistent Noise What's the role of equivariance in video diffusion models? and how can warped noise help with it? Is sampling from equivariant video models any easier? Project: research.nvidia.com/labs/genair/eq… w/ Chao Liu.


I'll be at the ICLR GEMBio Workshop workshop presenting latent and structure diffusion for protein backbone generation. Come by to talk all things latent for biology. openreview.net/forum?id=Ek7Hs… arxiv.org/abs/2504.09374




Congratulations to Peter Holderrieth Michael Albergo @ICLR2025 and Tommi Jaakkola for winning the best paper award for their work entitled "LEAPS: A discrete neural sampler via locally equivariant networks" at this year's Frontiers in Probabilistic Inference workshop #ICLR2025!


