Grant M. Rotskoff

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Central Limit Theorem

Convex Minimization

Markov Chain Monte Carlo Methods

Diffusion Models

Top Venues

Publications

Shriram Chennakesavalu, Frank Hu, Sebastian Ibarraran, Grant M. Rotskoff
Energy Rank Alignment: Using Preference Optimization to Search Chemical Space at Scale. CoRR (2024)
Haoxuan Chen, Yinuo Ren, Lexing Ying, Grant M. Rotskoff
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity. CoRR (2024)
Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff
Statistical Spatially Inhomogeneous Diffusion Inference. AAAI (2024)
Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff
Statistical Spatially Inhomogeneous Diffusion Inference. CoRR (2023)
Marylou Gabrié, Grant M. Rotskoff, Eric Vanden-Eijnden
Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods. CoRR (2021)
Grant M. Rotskoff, Andrew R. Mitchell, Eric Vanden-Eijnden
Active Importance Sampling for Variational Objectives Dominated by Rare Events: Consequences for Optimization and Generalization. MSML (2021)
Zhengdao Chen, Grant M. Rotskoff, Joan Bruna, Eric Vanden-Eijnden
A Dynamical Central Limit Theorem for Shallow Neural Networks. NeurIPS (2020)
Zhengdao Chen, Grant M. Rotskoff, Joan Bruna, Eric Vanden-Eijnden
A Dynamical Central Limit Theorem for Shallow Neural Networks. CoRR (2020)
Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch, Grant M. Rotskoff, Joan Bruna
A mean-field analysis of two-player zero-sum games. CoRR (2020)
Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch, Grant M. Rotskoff, Joan Bruna
A mean-field analysis of two-player zero-sum games. NeurIPS (2020)
Grant M. Rotskoff, Samy Jelassi, Joan Bruna, Eric Vanden-Eijnden
Global convergence of neuron birth-death dynamics. CoRR (2019)
Grant M. Rotskoff, Samy Jelassi, Joan Bruna, Eric Vanden-Eijnden
Neuron birth-death dynamics accelerates gradient descent and converges asymptotically. ICML (2019)
Grant M. Rotskoff, Eric Vanden-Eijnden
Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks. NeurIPS (2018)
Grant M. Rotskoff, Eric Vanden-Eijnden
Neural Networks as Interacting Particle Systems: Asymptotic Convexity of the Loss Landscape and Universal Scaling of the Approximation Error. CoRR (2018)