Binxu Wang

21 papers A* 2A 1B 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Random Matrix Theory Perspective on the Consistency of Diffusion Models.
CoRR
Binxu Wang, Jacob A. Zavatone-Veth, Cengiz Pehlevan
2026 J jnl
Circuit Mechanisms for Spatial Relation Generation in Diffusion Transformers.
CoRR
Binxu Wang, Jingxuan Fan, Xu Pan
2025 J jnl
An Analytical Theory of Power Law Spectral Bias in the Learning Dynamics of Diffusion Models.
CoRR
Binxu Wang
2025 A* conf
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models.
ICML
Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle
2025 J jnl
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models.
CoRR
Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle
2025 J jnl
Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry.
CoRR
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
2024 J jnl
Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules.
CoRR
Binxu Wang, Jiaqi Shang, Haim Sompolinsky
2024 J jnl
The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications.
CoRR
Binxu Wang, John J. Vastola
2024 J jnl
The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications.
Trans. Mach. Learn. Res.
Binxu Wang, John J. Vastola
2023 J jnl
Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later.
CoRR
Binxu Wang, John J. Vastola
2023 J jnl
The Hidden Linear Structure in Score-Based Models and its Application.
CoRR
Binxu Wang, John J. Vastola
2022 J jnl
High-performance Evolutionary Algorithms for Online Neuron Control.
CoRR
Binxu Wang, Carlos R. Ponce
2022 A conf
High-performance evolutionary algorithms for online neuron control.
GECCO
Binxu Wang, Carlos R. Ponce
2022 J jnl
On the Level Sets and Invariance of Neural Tuning Landscapes.
CoRR
Binxu Wang, Carlos R. Ponce
2022 — conf
On the level sets and invariance of neural tuning landscapes.
NeurReps
Binxu Wang, Carlos R. Ponce
2021 A* conf
A Geometric Analysis of Deep Generative Image Models and Its Applications.
ICLR
Binxu Wang, Carlos R. Ponce
2021 J jnl
On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation.
CoRR
Binxu Wang, David Mayo, Arturo Deza, Andrei Barbu, Colin Conwell
2021 J jnl
The Geometry of Deep Generative Image Models and its Applications.
CoRR
Binxu Wang, Carlos R. Ponce
2020 B conf
Weakly Supervised Object Localization Using Self-Paced Pyramid Adversarial Learning.
IJCNN
Fucheng Pan, Beilei Bian, Binxu Wang, Yueping Yang, Xiaoming Ju
2019 J jnl
A Mechanism for Synaptic Copy Between Neural Circuits.
Neural Comput.
Yuxiu Shao, Binxu Wang, Andrew T. Sornborger, Louis Tao
2018 J jnl
Mutual Information and Information Gating in Synfire Chains.
Entropy
Zhuocheng Xiao, Binxu Wang, Andrew T. Sornborger, Louis Tao