Zhang, Anru

7 publications

ICLR 2026 Planner Aware Path Learning in Diffusion Language Models Training Fred Zhangzhi Peng, Zachary Bezemek, Jarrid Rector-Brooks, Shuibai Zhang, Michael M. Bronstein, Anru Zhang, Joey Bose, Alexander Tong

ICLR 2026 The Geometry of Reasoning: Flowing Logics in Representation Space Yufa Zhou, Yixiao Wang, Xunjian Yin, Shuyan Zhou, Anru Zhang

ICLR 2023 Phase Transition for Detecting a Small Community in a Large Network Jiashun Jin, Tracy Ke, Paxton Turner, Anru Zhang

ICLR 2023 Sampling Is as Easy as Learning the Score: Theory for Diffusion Models with Minimal Data Assumptions Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru Zhang

COLT 2023 Statistical and Computational Limits for Tensor-on-Tensor Association Detection Ilias Diakonikolas, Daniel M. Kane, Yuetian Luo, Anru Zhang

NeurIPSW 2022 Sampling Is as Easy as Learning the Score: Theory for Diffusion Models with Minimal Data Assumptions Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru Zhang

ICML 2018 Estimation of Markov Chain via Rank-Constrained Likelihood Xudong Li, Mengdi Wang, Anru Zhang