Hsu, Kyle

14 publications

ICCV 2025 Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization Kyle Sargent, Kyle Hsu, Justin Johnson, Li Fei-Fei, Jiajun Wu

ICLR 2025 Range, Not Independence, Drives Modularity in Biologically Inspired Representations Will Dorrell, Kyle Hsu, Luke Hollingsworth, Jin Hwa Lee, Jiajun Wu, Chelsea Finn, Peter E. Latham, Timothy Edward John Behrens, James C. R. Whittington

CoRL 2024 Evaluating Real-World Robot Manipulation Policies in Simulation Xuanlin Li, Kyle Hsu, Jiayuan Gu, Oier Mees, Karl Pertsch, Homer Rich Walke, Chuyuan Fu, Ishikaa Lunawat, Isabel Sieh, Sean Kirmani, Sergey Levine, Jiajun Wu, Chelsea Finn, Hao Su, Quan Vuong, Ted Xiao

ICMLW 2024 Modularity in Biologically Inspired Representations Depends on Task Variable Range Independence Will Dorrell, Kyle Hsu, Luke Hollingsworth, Jin Hwa Lee, Jiajun Wu, Chelsea Finn, Peter E. Latham, Timothy Edward John Behrens, James C. R. Whittington

ICML 2024 Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns, Chelsea Finn, Jiajun Wu

NeurIPS 2023 Disentanglement via Latent Quantization Kyle Hsu, William Dorrell, James Whittington, Jiajun Wu, Chelsea Finn

ICLR 2022 Vision-Based Manipulators Need to Also See from Their Hands Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn

NeurIPSW 2022 What Makes Certain Pre-Trained Visual Representations Better for Robotic Learning? Kyle Hsu, Tyler Ga Wei Lum, Ruohan Gao, Shixiang Shane Gu, Jiajun Wu, Chelsea Finn

NeurIPSW 2022 What Makes Certain Pre-Trained Visual Representations Better for Robotic Learning? Kyle Hsu, Tyler Ga Wei Lum, Ruohan Gao, Shixiang Shane Gu, Jiajun Wu, Chelsea Finn

NeurIPSW 2022 What Makes Certain Pre-Trained Visual Representations Better for Robotic Learning? Kyle Hsu, Tyler Ga Wei Lum, Ruohan Gao, Shixiang Shane Gu, Jiajun Wu, Chelsea Finn

NeurIPS 2021 Differentiable Annealed Importance Sampling and the Perils of Gradient Noise Guodong Zhang, Kyle Hsu, Jianing Li, Chelsea Finn, Roger B Grosse

AISTATS 2021 On the Role of Data in PAC-Bayes Bounds Gintare Karolina Dziugaite, Kyle Hsu, Waseem Gharbieh, Gabriel Arpino, Daniel Roy

NeurIPS 2019 Unsupervised Curricula for Visual Meta-Reinforcement Learning Allan Jabri, Kyle Hsu, Abhishek Gupta, Ben Eysenbach, Sergey Levine, Chelsea Finn

ICLR 2019 Unsupervised Learning via Meta-Learning Kyle Hsu, Sergey Levine, Chelsea Finn