Publications

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.

Binxu Wang (2023). Charting the Landscape of Ventral Stream Neural Code on Generative Image Manifolds.

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.

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).

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.

Binxu Wang, Carlos R Ponce (2022). Tuning landscapes of the ventral stream. Cell reports.

Binxu Wang, Carlos R Ponce (2022). On the Level Sets and Invariance of Neural Tuning Landscapes. NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations.

Binxu Wang, Carlos R Ponce (2022). High-performance Evolutionary Algorithms for Online Neuron Control. GECCO ‘22: Proceedings of the Genetic and Evolutionary Computation Conference.

Binxu Wang, Carlos R. Ponce (2022). Factorized convolution models for interpreting neuron-guided images synthesis. 2022 Conference on Cognitive Computational Neuroscience.

Charles Connor, Gabriel Kreiman, Carlos R Ponce, Carl Craver, Margaret Livingstone, Martin Schrimpf, Binxu Wang (2021). What constitutes understanding of ventral pathway function?.