What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian BenchmarksIrene KoPin-Yu Chenet al.2024ICML 2024
Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity TheoryKai XuHong Ge2024ICML 2024
Thermometer: Towards Universal Calibration for Large Language ModelsMaohao ShenSubhro Daset al.2024ICML 2024
Proactive DP: A Multiple Target Optimization Framework for DP-SGDMarten Van DijkNhuong Nguyenet al.2024ICML 2024
Slicing Mutual Information Generalization Bounds for Neural NetworksKimia NadjahiKristjan Greenewaldet al.2024ICML 2024
Trust Regions for Explanations via Black-Box Probabilistic CertificationAmit DhurandharSwagatam Haldaret al.2024ICML 2024
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?Hongkang LiMeng Wenget al.2024ICML 2024
Representing Molecules as Random Walks Over Interpretable GrammarsMichael SunMinghao Guoet al.2024ICML 2024