Ren, Yinuo

10 publications

UAI 2025 COS-DPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian

NeurIPS 2025 Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms Yinuo Ren, Haoxuan Chen, Yuchen Zhu, Wei Guo, Yongxin Chen, Grant M. Rotskoff, Molei Tao, Lexing Ying

ICLRW 2025 Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms Yinuo Ren, Haoxuan Chen, Yuchen Zhu, Wei Guo, Yongxin Chen, Grant M. Rotskoff, Molei Tao, Lexing Ying

ICLR 2025 How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff, Lexing Ying

NeurIPS 2024 Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity Haoxuan Chen, Yinuo Ren, Lexing Ying, Grant M. Rotskoff

NeurIPSW 2024 How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff, Lexing Ying

NeurIPSW 2024 HyperDPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian

AISTATS 2024 Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal

AAAI 2024 Statistical Spatially Inhomogeneous Diffusion Inference Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff

AISTATS 2024 Understanding the Generalization Benefits of Late Learning Rate Decay Yinuo Ren, Chao Ma, Lexing Ying