Wang, Binxu

9 publications

ICLR 2026 Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry Thomas Fel, Binxu Wang, Michael A. Lepori, Matthew Kowal, Andrew Lee, Randall Balestriero, Sonia Joseph, Ekdeep Singh Lubana, Talia Konkle, Demba E. Ba, Martin Wattenberg

NeurIPS 2025 An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models Binxu Wang, Cengiz Pehlevan

ICML 2025 Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle

NeurIPSW 2024 Diverse Capability and Scaling of Diffusion and Auto-Regressive Models When Learning Abstract Rules Binxu Wang, Jiaqi Shang, Haim Sompolinsky

TMLR 2024 The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and Its Applications Binxu Wang, John Vastola

NeurIPSW 2023 Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale Chandana Kuntala, Carlos R Ponce, Deepak Kumar Sharma, Binxu Wang

NeurIPSW 2022 On the Level Sets and Invariance of Neural Tuning Landscapes Binxu Wang, Carlos R Ponce

ICLR 2021 A Geometric Analysis of Deep Generative Image Models and Its Applications Binxu Wang, Carlos R Ponce

NeurIPSW 2021 On the Use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation Binxu Wang, David Mayo, Arturo Deza, Andrei Barbu, Colin Conwell