Article-Journal
16 items tagged
(2026).
Neuronal Tuning Aligns Dynamically with Object- and Texture Manifolds across the Visual Hierarchy.
Nature Neuroscience.
(2026).
Matching Accuracy, Different Geometry: Evolution Strategies vs GRPO in LLM Post-training.
under review at COLM 2026.
(2026).
Differentiable Faithfulness Alignment for Cross-Model Circuit Transfer.
under review at COLM 2026.
(2025).
Structure as an inductive bias for brain–model alignment.
Nature Machine Intelligence.
(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.
NeurIPS 2025 (spotlight, top 3%) — arXiv:2503.03206.
(2025).
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models.
ICML 2025 (arXiv:2502.12892).
(2025).
A Random Matrix Perspective on the Consistency of Diffusion Models.
arXiv preprint arXiv:2602.02908 (under review at ICML).
(2024).
The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications.
Transactions on Machine Learning Research (arXiv:2412.09726).
(2024).
Neural Dynamics of Object Manifold Alignment in the Ventral Stream.
bioRxiv.
(2023).
Diffusion models generate images like painters: an analytical theory of outline first, details later.
arXiv preprint arXiv:2303.02490.
(2022).
Tuning landscapes of the ventral stream.
Cell reports.
(2021).
Visual prototypes in the ventral stream are attuned to complexity and gaze behavior.
Nature Communications.
(2019).
A mechanism for synaptic copy between neural circuits.
Neural computation.