Diffusion

9 posts in this tag

Poster at NEMI 2025 Workshop on Circuit underlying relational object generation in DiT

The attention mechanism underlying relational object generation in text-to-image diffusion transformers

Aug 22, 2025

IAIFI Summer Workshop Talk

Analytical Theory of Spectral Effects in Sampling and Learning of Diffusion Model

Aug 11, 2025

Spring into Science Retreat Talk

Analytical Theory of Spectral Bias in Diffusion Sampling and Learning

Mar 26, 2025

An analytical theory of power law spectral bias in the learning dynamics of diffusion models

An analytical theory of power law spectral bias in the learning dynamics of diffusion models

Mar 1, 2025

The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications

The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications

Dec 1, 2024

Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules

Nov 1, 2024

Do diffusion models generalize on abstract rules for reasoning?

Aug 1, 2024

The hidden linear structure in score-based models and its application

Nov 1, 2023

Diffusion models generate images like painters: an analytical theory of outline first, details later

Mar 1, 2023

Mechanistic Interpretability

Poster at NEMI 2025 Workshop on Circuit underlying relational object generation in DiT

The attention mechanism underlying relational object generation in text-to-image diffusion transformers

Mechanistic Interpretability Transformer Diffusion Science of AI NEMI

Binxu Wang

August 22, 2025

IAIFI Summer Workshop Talk

Analytical Theory of Spectral Effects in Sampling and Learning of Diffusion Model

Diffusion Science of AI

Binxu Wang

August 11, 2025

Spring into Science Retreat Talk

Analytical Theory of Spectral Bias in Diffusion Sampling and Learning

Diffusion Spectral Bias Machine Learning

Binxu Wang

March 26, 2025

An analytical theory of power law spectral bias in the learning dynamics of diffusion models

An analytical theory of power law spectral bias in the learning dynamics of diffusion models

Diffusion Learning Dynamics Theory Science of AI

Binxu Wang

March 1, 2025

The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications

The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications

Diffusion Science of AI

Binxu Wang

December 1, 2024

Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules

Diffusion NeuroAI Generative Model Science of AI

Binxu Wang

November 1, 2024

Do diffusion models generalize on abstract rules for reasoning?

Diffusion NeuroAI Generative Model Science of AI

Binxu Wang

August 1, 2024

The hidden linear structure in score-based models and its application

Diffusion Geometry Generative Model Science of AI

Binxu Wang

November 1, 2023

Diffusion models generate images like painters: an analytical theory of outline first, details later

Diffusion Geometry Generative Model Science of AI

Binxu Wang

March 1, 2023

Mechanistic Interpretability Transformer Diffusion Science of AI NEMI

Binxu Wang (2025). Poster at NEMI 2025 Workshop on Circuit underlying relational object generation in DiT.

Diffusion Science of AI

Binxu Wang (2025). IAIFI Summer Workshop Talk.

Diffusion Spectral Bias Machine Learning

Binxu Wang (2025). Spring into Science Retreat Talk.

Diffusion Learning Dynamics Theory Science of AI

Binxu Wang (2025). An analytical theory of power law spectral bias in the learning dynamics of diffusion models. arXiv preprint arXiv:2503.03206.

Diffusion Science of AI

Binxu Wang, John J Vastola (2024). The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications. Transactions on Machine Learning Research (arXiv:2412.09726).

PDF Cite Code 📝 BLOG

Diffusion NeuroAI Generative Model Science of AI

Binxu Wang, Jiaqi Shang, Haim Sompolinsky (2024). 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.

Diffusion NeuroAI Generative Model Science of AI

Binxu Wang, Jiaqi Shang, Haim Sompolinsky (2024). Do diffusion models generalize on abstract rules for reasoning?. 2024 Conference on Cognitive Computational Neuroscience.

Diffusion Geometry Generative Model Science of AI

Binxu Wang, John J Vastola (2023). The hidden linear structure in score-based models and its application. NeurIPS 2023 Workshop on Diffusion Models (arXiv:2311.10892).

Diffusion Geometry Generative Model Science of AI

Binxu Wang, John J Vastola (2023). Diffusion models generate images like painters: an analytical theory of outline first, details later. arXiv preprint arXiv:2303.02490.

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