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Kyle Hsu
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2020 – today
- 2024
- [i11]Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns, Chelsea Finn, Jiajun Wu:
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning. CoRR abs/2404.10282 (2024) - [i10]Xuanlin Li, Kyle Hsu, Jiayuan Gu, Karl Pertsch, Oier Mees, Homer Rich Walke, Chuyuan Fu, Ishikaa Lunawat, Isabel Sieh, Sean Kirmani, Sergey Levine, Jiajun Wu, Chelsea Finn, Hao Su, Quan Vuong, Ted Xiao:
Evaluating Real-World Robot Manipulation Policies in Simulation. CoRR abs/2405.05941 (2024) - 2023
- [c10]Kyle Hsu, William Dorrell, James C. R. Whittington, Jiajun Wu, Chelsea Finn:
Disentanglement via Latent Quantization. NeurIPS 2023 - [i9]Kyle Hsu, Will Dorrell, James C. R. Whittington, Jiajun Wu, Chelsea Finn:
Disentanglement via Latent Quantization. CoRR abs/2305.18378 (2023) - 2022
- [c9]Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn:
Vision-Based Manipulators Need to Also See from Their Hands. ICLR 2022 - [c8]Duy Pham, Kyle Hsu, Marinus Pennings, Tri Pham, Phi Au:
Extending Functionalities on a Web-based Portal for Research Computing. PEARC 2022: 37:1-37:4 - [i8]Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn:
Vision-Based Manipulators Need to Also See from Their Hands. CoRR abs/2203.12677 (2022) - 2021
- [c7]Gintare Karolina Dziugaite, Kyle Hsu, Waseem Gharbieh, Gabriel Arpino, Daniel M. Roy:
On the role of data in PAC-Bayes. AISTATS 2021: 604-612 - [c6]Guodong Zhang, Kyle Hsu, Jianing Li, Chelsea Finn, Roger B. Grosse:
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise. NeurIPS 2021: 19398-19410 - [i7]Guodong Zhang, Kyle Hsu, Jianing Li, Chelsea Finn, Roger B. Grosse:
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise. CoRR abs/2107.10211 (2021) - [i6]Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - 2020
- [i5]Gintare Karolina Dziugaite, Kyle Hsu, Waseem Gharbieh, Daniel M. Roy:
On the role of data in PAC-Bayes bounds. CoRR abs/2006.10929 (2020)
2010 – 2019
- 2019
- [c5]Kyle Hsu, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck:
Lazy Abstraction-Based Controller Synthesis. ATVA 2019: 23-47 - [c4]Kyle Hsu, Sergey Levine, Chelsea Finn:
Unsupervised Learning via Meta-Learning. ICLR (Poster) 2019 - [c3]Allan Jabri, Kyle Hsu, Abhishek Gupta, Ben Eysenbach, Sergey Levine, Chelsea Finn:
Unsupervised Curricula for Visual Meta-Reinforcement Learning. NeurIPS 2019: 10519-10530 - [i4]Allan Jabri, Kyle Hsu, Ben Eysenbach, Abhishek Gupta, Sergey Levine, Chelsea Finn:
Unsupervised Curricula for Visual Meta-Reinforcement Learning. CoRR abs/1912.04226 (2019) - 2018
- [c2]Kyle Hsu, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck:
Lazy Abstraction-Based Control for Safety Specifications. CDC 2018: 4902-4907 - [c1]Kyle Hsu, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck:
Multi-Layered Abstraction-Based Controller Synthesis for Continuous-Time Systems. HSCC 2018: 120-129 - [i3]Kyle Hsu, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck:
Lazy Abstraction-Based Control for Safety Specifications. CoRR abs/1804.02666 (2018) - [i2]Kyle Hsu, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck:
Lazy Abstraction-Based Control for Reachability. CoRR abs/1804.02722 (2018) - [i1]Kyle Hsu, Sergey Levine, Chelsea Finn:
Unsupervised Learning via Meta-Learning. CoRR abs/1810.02334 (2018)
Coauthor Index
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last updated on 2024-06-14 20:42 CEST by the dblp team
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