Chuang, Isaac L.

8 publications

ICLR 2026 A Universal Compression Theory for Lottery Ticket Hypothesis and Neural Scaling Laws Hong-Yi Wang, Di Luo, Tomaso Poggio, Isaac L. Chuang, Liu Ziyin

ICLR 2025 Formation of Representations in Neural Networks Liu Ziyin, Isaac L. Chuang, Tomer Galanti, Tomaso A Poggio

NeurIPS 2025 Neural Thermodynamics: Entropic Forces in Deep and Universal Representation Learning Liu Ziyin, Yizhou Xu, Isaac L. Chuang

ICLR 2025 Remove Symmetries to Control Model Expressivity and Improve Optimization Liu Ziyin, Yizhou Xu, Isaac L. Chuang

NeurIPSW 2024 Remove Symmetries to Control Model Expressivity and Improve Optimization Liu Ziyin, Yizhou Xu, Isaac L. Chuang

JAIR 2021 Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang

UAI 2019 Learnability for the Information Bottleneck Tailin Wu, Ian Fischer, Isaac L. Chuang, Max Tegmark

UAI 2017 Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang