Jason Yim
8 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🧭
Keyword Pioneer
🌍
Conference Polyglot
(3)
🏃
Academic Marathon
(5)
🐝
Cross-Pollinator
(11)
🌉
Interdisciplinary Bridge
Conferences
ICLR (5)
ICML (2)
JMLR (1)
Top co-authors
Keywords
ensemble learning
(1)
random projection
(1)
diffusion model
(1)
molecular generation
(1)
equivariant neural network
(1)
random forest
(1)
decision forest
(1)
oblique decision tree
(1)
gradient boosting tree
(1)
oblique split
(1)
rigid body dynamics
(1)
molecular structure
(1)
protein backbone generation
(1)
equivariant score matching
(1)
Papers
Proteina: Scaling Flow-based Protein Structure Generative Models
ICLR 2025
ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids
ICLR 2025
Generator Matching: Generative modeling with arbitrary Markov processes
ICLR 2025
Improving protein optimization with smoothed fitness landscapes
ICLR 2024
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
ICML 2024
Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem
ICLR 2023
SE(3) diffusion model with application to protein backbone generation
ICML 2023
Sparse Projection Oblique Randomer Forests
JMLR 2020