Grant M. Rotskoff

6 papers at tracked venues · 6 at CORE A* · active 2024–2025

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Venues

NeurIPS ×3 AAAI ×1 ICLR ×1 ICML ×1

Frequent coauthors

Yinuo Ren

×4

Lexing Ying

×4

Haoxuan Chen

×3

Shriram Chennakesavalu

×1

Frank Hu

×1

Sebastian Ibarraran

×1

Yuchen Zhu

×1

Wei Guo

×1

Yongxin Chen

×1

Molei Tao

×1

Javan Tahir

×1

Surya Ganguli

×1

Papers

Aligning Transformers with Continuous Feedback via Energy Rank Alignment
NeurIPS 2025 ·
Shriram Chennakesavalu
,
Frank Hu
,
Sebastian Ibarraran
, Grant M. Rotskoff
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
NeurIPS 2025 ·
Yinuo Ren
,
Haoxuan Chen
,
Yuchen Zhu
,
Wei Guo
,
Yongxin Chen
, Grant M. Rotskoff,
Molei Tao
,
Lexing Ying
Features are fate: a theory of transfer learning in high-dimensional regression
ICML 2025 ·
Javan Tahir
,
Surya Ganguli
, Grant M. Rotskoff
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
ICLR 2025 ·
Yinuo Ren
,
Haoxuan Chen
, Grant M. Rotskoff,
Lexing Ying
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
NeurIPS 2024 ·
Haoxuan Chen
,
Yinuo Ren
,
Lexing Ying
, Grant M. Rotskoff
Statistical Spatially Inhomogeneous Diffusion Inference
AAAI 2024 ·
Yinuo Ren
,
Yiping Lu
,
Lexing Ying
, Grant M. Rotskoff