Diffusion
24 items tagged
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
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
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
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
The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications
Transactions on Machine Learning Research (arXiv:2412.09726)
Binxu Wang, John J Vastola
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
Do diffusion models generalize on abstract rules for reasoning?
2024 Conference on Cognitive Computational Neuroscience
Binxu Wang, Jiaqi Shang, Haim Sompolinsky
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
Diffusion models generate images like painters: an analytical theory of outline first, details later
arXiv preprint arXiv:2303.02490
Binxu Wang, John J Vastola