news

Mar 11, 2026 I have advanced to candidacy for my Ph.D. at UT Austin! My presentation focused on bridging statistical theory with practical algorithms to validate, guide, and accelerate deep generative models.
Mar 01, 2026 Our paper titled “Score-Guided Proximal Projection: A Unified Geometric Framework for Rectified Flow Editing” got accepted at ICLR 2026 (DeLTA workshop).
Jan 23, 2026 Our paper titled “On the convergence and straightness of Rectified Flows” got accepted at AISTATS 2026.
Oct 17, 2025 Selected as a top reviewer at NeurIPS 2025.
Sep 18, 2025 We got a spotlight presentation (top 3%) at NeurIPS 2025 for the paper “CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates”! See you in San Diego!
Jul 22, 2025 Our papers “The surprising strength of weak classifiers for validating neural posterior estimates” and “CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates” are up on ArXiv!
Jan 22, 2025 Our paper “Conditional diffusions for neural posterior estimation” got accepted at AISTATS 2025!
Aug 21, 2023 Joined the Department of Statistics and Data Sciences, UT Austin as a PhD student.