Jason Yim
8 papers · 2020–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
π
Conference Polyglot Β· Bronze
π
Academic Marathon Β· Sprint
π
Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(14)
π
Keyword Champion
(2)
Top co-authors
Research topics
Keywords
graph neural network
(2)
protein backbone
(2)
protein design
(2)
molecular generation
(2)
markov chain monte carlo
(1)
jump process
(1)
variational inference
(1)
random projection
(1)
flow matching
(1)
diffusion model
(1)
energy-based model
(1)
classifier-free guidance
(1)
generative model
(1)
equivariant neural network
(1)
protein optimization
(1)
graph signal processing
(1)
protein structure
(1)
diffusion probabilistic model
(1)
ensemble learning
(1)
transformer architecture
(1)
Papers
Generator Matching: Generative modeling with arbitrary Markov processes
ICLR 2025
ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids
ICLR 2025
Proteina: Scaling Flow-based Protein Structure Generative Models
ICLR 2025
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
ICML 2024
Improving protein optimization with smoothed fitness landscapes
ICLR 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