Jason Yim

According to our database, Jason Yim authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

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

CoRR, 2024

Improved motif-scaffolding with SE(3) flow matching.

Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, José Jiménez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noé, Regina Barzilay, Tommi S. Jaakkola

CoRR, 2024

2023

Optimizing protein fitness using Gibbs sampling with Graph-based Smoothing.

Andrew Kirjner, Jason Yim, Raman Samusevich, Tommi S. Jaakkola, Regina Barzilay, Ila Fiete

CoRR, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2020

Sparse Projection Oblique Randomer Forests.

Tyler M. Tomita, James Browne, Cencheng Shen, Jaewon Chung, Jesse Patsolic, Benjamin Falk, Carey E. Priebe, Jason Yim, Randal C. Burns, Mauro Maggioni, Joshua T. Vogelstein

J. Mach. Learn. Res., 2020