Solving for high dimensional committor functions using neural network with online approximation to derivatives. - Haoya Li; Yuehaw Khoo; Yinuo Ren; Lexing Ying (CoRR, 2020)

A semigroup method for high dimensional committor functions based on neural network. - Haoya Li; Yuehaw Khoo; Yinuo Ren; Lexing Ying (MSML, 2021)

Hermite spectral method for Fokker-Planck-Landau equation modeling collisional plasma. - Ruo Li; Yinuo Ren; Yanli Wang (J. Comput. Phys., 2021)

High-dimensional density estimation with tensorizing flow. - Yinuo Ren; Hongli Zhao; Yuehaw Khoo; Lexing Ying (CoRR, 2022)

Infinite forecast combinations based on Dirichlet process. - Yinuo Ren; Feng Li 028; Yanfei Kang; Jue Wang (ICDM (Workshops), 2023)

Statistical Spatially Inhomogeneous Diffusion Inference. - Yinuo Ren; Yiping Lu 001; Lexing Ying; Grant M. Rotskoff (AAAI, 2024)

Understanding the Generalization Benefits of Late Learning Rate Decay. - Yinuo Ren; Chao Ma 012; Lexing Ying (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 (AISTATS, 2024)

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

HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework. - Yinuo Ren; Tesi Xiao; Michael Shavlovsky; Lexing Ying; Holakou Rahmanian (CoRR, 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 (ICLR, 2025)

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

Optimal starting point for time series forecasting. - Yiming Zhong; Yinuo Ren; Guangyao Cao; Feng Li 028; Haobo Qi (Expert Syst. Appl., 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 (CoRR, 2025)

A Unified Approach to Analysis and Design of Denoising Markov Models. - Yinuo Ren; Grant M. Rotskoff; Lexing Ying (CoRR, 2025)

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach. - Haoxuan Chen; Yinuo Ren; Martin Renqiang Min; Lexing Ying; Zachary Izzo (CoRR, 2025)