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ORCIDKuno Kim
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- affiliation: Stanford University, Department of Computer Science, CA, USA
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Conference and Workshop Papers
- 2023
[c8]Kuno Kim, Stefano Ermon:
Understanding and Adopting Rational Behavior by Bellman Score Estimation. ICLR 2023- 2022
- [c7]Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon:
LISA: Learning Interpretable Skill Abstractions from Language. NeurIPS 2022 - [c6]Michael Poli, Winnie Xu, Stefano Massaroli, Chenlin Meng, Kuno Kim, Stefano Ermon:
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations. NeurIPS 2022 - 2021
- [c5]Kuno Kim, Shivam Garg, Kirankumar Shiragur, Stefano Ermon:
Reward Identification in Inverse Reinforcement Learning. ICML 2021: 5496-5505 - [c4]Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel Bear, Dan Gutfreund, David D. Cox, Antonio Torralba, James J. DiCarlo, Josh Tenenbaum, Josh H. McDermott, Dan Yamins:
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. NeurIPS Datasets and Benchmarks 2021 - [c3]Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon:
Imitation with Neural Density Models. NeurIPS 2021: 5360-5372 - 2020
- [c2]Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon:
Domain Adaptive Imitation Learning. ICML 2020: 5286-5295 - [c1]Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins:
Active World Model Learning with Progress Curiosity. ICML 2020: 5306-5315
Informal and Other Publications
- 2022
- [i6]Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon:
LISA: Learning Interpretable Skill Abstractions from Language. CoRR abs/2203.00054 (2022) - [i5]Michael Poli, Winnie Xu, Stefano Massaroli, Chenlin Meng, Kuno Kim, Stefano Ermon:
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations. CoRR abs/2204.07673 (2022) - 2020
- [i4]Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel M. Bear, Dan Gutfreund, David D. Cox, James J. DiCarlo, Josh H. McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins:
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. CoRR abs/2007.04954 (2020) - [i3]Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins:
Active World Model Learning with Progress Curiosity. CoRR abs/2007.07853 (2020) - [i2]Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon:
Imitation with Neural Density Models. CoRR abs/2010.09808 (2020) - 2019
- [i1]Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon:
Cross Domain Imitation Learning. CoRR abs/1910.00105 (2019)
Coauthor Index
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