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13 items tagged
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Paper-Conference
📄 Papers
13
Circuit Mechanisms for Spatial Relation Generation in Diffusion Transformers
Conference on Computer Vision and Pattern Recognition (CVPR) 2026 (highlight, top 3%)
🌟
Highlight — top 3%
Binxu Wang
,
Jingxuan Fan
,
Xu Pan
PDF
Diffusion
Interpretability
Mechanistic Interpretability
Computer Vision
Science of AI
Where the Score Lives: A Wavelet View of Diffusion
International Conference on Artificial Intelligence and Statistics (AISTATS) 2026
Emma Lucia Byrnes Finn
,
Binxu Wang
,
T. Anderson Keller
,
Demba E. Ba
Diffusion
Theory
Science of AI
When Rule Learning Breaks: Diffusion Fails to Learn Parity of Many Bits
Workshop on Structured Probabilistic Inference & Generative Modeling, NeurIPS 2025 (oral)
🎤
Oral presentation
Binxu Wang
,
Emma Lucia Byrnes Finn
,
Bingbin Liu
Diffusion
Science of AI
Generative Model
Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry
International Conference on Learning Representations (ICLR) 2026
Thomas Fel
,
Binxu Wang
,
Michael A. Lepori
,
Matthew Kowal
,
Andrew Lee
,
Randall Balestriero
,
Stella Joseph
,
Ekdeep S. Lubana
,
Talia Konkle
,
Demba E. Ba
,
Martin Wattenberg
PDF
Interpretability
Computer Vision
Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules
The First Workshop on System-2 Reasoning at Scale, NeurIPS'24
Binxu Wang
,
Jiaqi Shang
,
Haim Sompolinsky
PDF
Cite
Diffusion
NeuroAI
Generative Model
Science of AI
Do diffusion models generalize on abstract rules for reasoning?
2024 Conference on Cognitive Computational Neuroscience
Binxu Wang
,
Jiaqi Shang
,
Haim Sompolinsky
Cite
Diffusion
NeuroAI
Generative Model
Science of AI
Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale
NeurIPS 2023 UniReps Workshop: the First Workshop on Unifying Representations in Neural Models
Chandana Kuntala
,
Carlos R Ponce
,
Deepak Kumar Sharma
,
Binxu Wang
Cite
Learning Dynamics
NeuroAI
Science of AI
Self-supervised learning
Computer Vision
The hidden linear structure in score-based models and its application
NeurIPS 2023 Workshop on Diffusion Models (arXiv:2311.10892)
Binxu Wang
,
John J Vastola
PDF
Cite
Diffusion
Geometry
Generative Model
Science of AI
Theory
On the Level Sets and Invariance of Neural Tuning Landscapes
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations
Binxu Wang
,
Carlos R Ponce
PDF
Cite
Code
Geometry
NeuroAI
Visual Neuroscience
High-performance Evolutionary Algorithms for Online Neuron Control
GECCO ‘22: Proceedings of the Genetic and Evolutionary Computation Conference
(Best paper nomination)
⭐️
Best Paper Nomination
Binxu Wang
,
Carlos R Ponce
PDF
Cite
Code
Video
Visual Neuroscience
Optimization
Evolutionary Computing
Factorized convolution models for interpreting neuron-guided images synthesis
2022 Conference on Cognitive Computational Neuroscience
Binxu Wang
,
Carlos R. Ponce
Cite
Visual Neuroscience
NeuroAI
Neuron Modelling
Digital Twins
On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation
NeurIPS 2021 SVRHM Workshop
Binxu Wang
,
David Mayo
,
Arturo Deza
,
Andrei Barbu
,
Colin Conwell
PDF
Cite
Code
NeuroAI
Self-supervised learning
Visual Neuroscience
The Geometry of Deep Generative Image Models and its Applications
International Conference on Learning Representations, 2021
Binxu Wang
,
Carlos R Ponce
PDF
Cite
Code
Video
Geometry
Generative Model
Optimization
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