(2025).
Feature accentuation along the encoding axes of IT neurons uncovers hidden differences in model-brain alignment.
Journal of Vision.
(2025).
An analytical theory of power law spectral bias in the learning dynamics of diffusion models.
arXiv preprint arXiv:2503.03206.
(2025).
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models.
ICML 2025 (arXiv:2502.12892).
(2024).
The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications.
Transactions on Machine Learning Research (arXiv:2412.09726).
(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.
(2024).
Do diffusion models generalize on abstract rules for reasoning?.
2024 Conference on Cognitive Computational Neuroscience.
(2024).
Neural Dynamics of Object Manifold Alignment in the Ventral Stream.
bioRxiv.
(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.
(2023).
The hidden linear structure in score-based models and its application.
NeurIPS 2023 Workshop on Diffusion Models (arXiv:2311.10892).
