Science of AI

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

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

Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale

Nov 1, 2023

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

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

Learning Dynamics

Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale

Learning Dynamics NeuroAI Science of AI Self-supervised learning Computer Vision

Chandana Kuntala

November 1, 2023

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 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.

Learning Dynamics NeuroAI Science of AI Self-supervised learning Computer Vision

Chandana Kuntala, Carlos R Ponce, Deepak Kumar Sharma, Binxu Wang (2023). Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale. NeurIPS 2023 UniReps Workshop: the First Workshop on Unifying Representations in Neural Models.

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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