Guy Wolf

Associate Professor@University of Montreal·加拿大·OpenReview

研究方向

Geometric and topological representation learning · Geometric deep learning · graph signal processing · Manifold learning · diffusion geometry · Dimensionality reduction · visualization · data exploration

4.5

RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis

NeurIPS 2025Poster

三作

7.3

Random Forest Autoencoders for Guided Representation Learning

NeurIPS 2025Poster

6.8

Geometry-Aware Edge Pooling for Graph Neural Networks

NeurIPS 2025Poster

三作

6.3

AdaFisher: Adaptive Second Order Optimization via Fisher Information

ICLR 2025Poster

4.5

EnzymeFlow: Generating Reaction-specific Enzyme Catalytic Pockets through Flow Matching and Co-Evolutionary Dynamics

合作者 (20)

Guy Wolf

BDN: Blaschke Decomposition Networks

Less is More: Undertraining Experts Improves Model Upcycling

GraIP: A Benchmarking Framework for Neural Graph Inverse Problems

RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis

Random Forest Autoencoders for Guided Representation Learning

Geometry-Aware Edge Pooling for Graph Neural Networks

AdaFisher: Adaptive Second Order Optimization via Fisher Information

EnzymeFlow: Generating Reaction-specific Enzyme Catalytic Pockets through Flow Matching and Co-Evolutionary Dynamics