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Grant M. Rotskoff
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Publications
- 2025
- [c8]Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff, Lexing Ying:
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework. ICLR 2025 - [i14]Yinuo Ren, Haoxuan Chen, Yuchen Zhu, Wei Guo, Yongxin Chen, Grant M. Rotskoff, Molei Tao, Lexing Ying:
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms. CoRR abs/2502.00234 (2025) - [i13]Yinuo Ren, Grant M. Rotskoff, Lexing Ying:
A Unified Approach to Analysis and Design of Denoising Markov Models. CoRR abs/2504.01938 (2025) - 2024
- [c7]Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff:
Statistical Spatially Inhomogeneous Diffusion Inference. AAAI 2024: 14820-14828 - [c6]Haoxuan Chen, Yinuo Ren, Lexing Ying, Grant M. Rotskoff:
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity. NeurIPS 2024 - [i11]Haoxuan Chen, Yinuo Ren, Lexing Ying, Grant M. Rotskoff:
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity. CoRR abs/2405.15986 (2024) - [i8]Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff, Lexing Ying:
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework. CoRR abs/2410.03601 (2024) - 2023
- [i6]Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff:
Statistical Spatially Inhomogeneous Diffusion Inference. CoRR abs/2312.05793 (2023)

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