Circuit Mechanisms for Spatial Relation Generation in Diffusion Transformers
Conference on Computer Vision and Pattern Recognition (CVPR) 2026 (highlight, top 3%)
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Highlight — top 3%
Binxu Wang, Jingxuan Fan, Xu Pan
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
Neuronal Tuning Aligns Dynamically with Object- and Texture Manifolds across the Visual Hierarchy
Nature Neuroscience
Binxu Wang, Carlos R. Ponce
Matching Accuracy, Different Geometry: Evolution Strategies vs GRPO in LLM Post-training
under review at COLM 2026
William Hoy, Binxu Wang, Xu Pan
Differentiable Faithfulness Alignment for Cross-Model Circuit Transfer
under review at COLM 2026
Shun Shao, Binxu Wang, Shay B Cohen, Yonatan Belinkov
A Random Matrix Perspective on the Consistency of Diffusion Models
arXiv preprint arXiv:2602.02908 (under review at ICML)
Binxu Wang, Jacob A. Zavatone-Veth, Cengiz Pehlevan
Structure as an inductive bias for brain–model alignment
Nature Machine Intelligence
Binxu Wang, Carlos R Ponce
When Rule Learning Breaks: Diffusion Fails to Learn Parity of Many Bits
Workshop on Structured Probabilistic Inference & Generative Modeling, NeurIPS 2025 (oral)
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Oral presentation
Binxu Wang, Emma Lucia Byrnes Finn, Bingbin Liu
Feature accentuation along the encoding axes of IT neurons uncovers hidden differences in model-brain alignment
Journal of Vision
Jacob S Prince, Binxu Wang, Akshay v Jagadeesh, Thomas Fel, Emily Lo, George a Alvarez, Margaret S Livingstone, Talia Konkle
An analytical theory of power law spectral bias in the learning dynamics of diffusion models
NeurIPS 2025 (spotlight, top 3%) — arXiv:2503.03206
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Spotlight — top 3%
Binxu Wang, Cengiz Pehlevan