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Jason Yim
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 8
Top Topics
Protein Structural
Probabilistic Modeling
Dna Sequences
Top Venues
CoRR
J. Mach. Learn. Res.
ICML
ICLR
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Publications
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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
Improved motif-scaffolding with SE(3) flow matching.
CoRR
(2024)
Andrew Campbell
,
Jason Yim
,
Regina Barzilay
,
Tom Rainforth
,
Tommi S. Jaakkola
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design.
CoRR
(2024)
Brian L. Trippe
,
Jason Yim
,
Doug Tischer
,
David Baker
,
Tamara Broderick
,
Regina Barzilay
,
Tommi S. Jaakkola
Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem.
ICLR
(2023)
Andrew Kirjner
,
Jason Yim
,
Raman Samusevich
,
Tommi S. Jaakkola
,
Regina Barzilay
,
Ila Fiete
Optimizing protein fitness using Gibbs sampling with Graph-based Smoothing.
CoRR
(2023)
Jason Yim
,
Brian L. Trippe
,
Valentin De Bortoli
,
Emile Mathieu
,
Arnaud Doucet
,
Regina Barzilay
,
Tommi S. Jaakkola
SE(3) diffusion model with application to protein backbone generation.
ICML
(2023)
Jason Yim
,
Brian L. Trippe
,
Valentin De Bortoli
,
Emile Mathieu
,
Arnaud Doucet
,
Regina Barzilay
,
Tommi S. Jaakkola
SE(3) diffusion model with application to protein backbone generation.
CoRR
(2023)
Brian L. Trippe
,
Jason Yim
,
Doug Tischer
,
David Baker
,
Tamara Broderick
,
Regina Barzilay
,
Tommi Jaakkola
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem.
CoRR
(2022)
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
Sparse Projection Oblique Randomer Forests.
J. Mach. Learn. Res.
21 (2020)