Jason Yim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
2
Active years
2023–2025
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Proteina: Scaling Flow-based Protein Structure Generative Models. | Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Kkbenli, Arash Vahdat, Karsten Kreis |
| 2025 | ICLR | Generator Matching: Generative modeling with arbitrary Markov processes. | Peter Holderrieth, Marton Havasi, Jason Yim, Neta Shaul, Itai Gat, Tommi S. Jaakkola, Brian Karrer, Ricky T. Q. Chen, Yaron Lipman |
| 2025 | ICLR | ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids. | Hannes Strk, Bowen Jing, Tomas Geffner, Jason Yim, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis |
| 2024 | ICLR | Improving protein optimization with smoothed fitness landscapes. | Andrew Kirjner, Jason Yim, Raman Samusevich, Shahar Bracha, Tommi S. Jaakkola, Regina Barzilay, Ila R. Fiete |
| 2024 | ICML | Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design. | Andrew Campbell, Jason Yim, Regina Barzilay, Tom Rainforth, Tommi S. Jaakkola |
| 2023 | ICLR | Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem. | Brian L. Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, Tommi S. Jaakkola |
| 2023 | ICML | SE(3) diffusion model with application to protein backbone generation. | Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola |