Yuan, Chenyang

7 publications

ICLR 2026 From Embedding to Control: Representations for Stochastic Multi-Object Systems Xiaoyuan Cheng, Yiming Yang, Wei Jiang, Chenyang Yuan, Zhuo Sun, Yukun Hu

ICLR 2026 Much Ado About Noising: Dispelling the Myths of Generative Robotic Control Chaoyi Pan, Giri Anantharaman, Nai-Chieh Huang, Claire Jin, Daniel Pfrommer, Chenyang Yuan, Frank Permenter, Guannan Qu, Nicholas Matthew Boffi, Guanya Shi, Max Simchowitz

TMLR 2025 Enhancing Sample Generation of Diffusion Models Using Noise Level Correction Abulikemu Abuduweili, Chenyang Yuan, Changliu Liu, Frank Permenter

NeurIPS 2025 Locality in Image Diffusion Models Emerges from Data Statistics Artem Lukoianov, Chenyang Yuan, Justin Solomon, Vincent Sitzmann

ICML 2024 Interpreting and Improving Diffusion Models from an Optimization Perspective Frank Permenter, Chenyang Yuan

NeurIPSW 2024 Stylish and Functional: Guided Interpolation Subject to Physical Constraints Yan-Ying Chen, Nikos Arechiga, Chenyang Yuan, Matthew K Hong, Matthew Klenk, Charlene C. Wu

NeurIPSW 2024 VehicleSDF: A 3D Generative Model for Constrained Engineering Design via Surrogate Modeling Hayata Morita, Kohei Shintani, Chenyang Yuan, Frank Permenter