Kuno Kim

According to our database, Kuno Kim authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Understanding and Adopting Rational Behavior by Bellman Score Estimation.

Kuno Kim, Stefano Ermon

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations.

Michael Poli, Winnie Xu, Stefano Massaroli, Chenlin Meng, Kuno Kim, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LISA: Learning Interpretable Skill Abstractions from Language.

Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Imitation with Neural Density Models.

Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Reward Identification in Inverse Reinforcement Learning.

Kuno Kim, Shivam Garg, Kirankumar Shiragur, Stefano Ermon

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.

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

CoRR, 2020

Active World Model Learning with Progress Curiosity.

Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins

Proceedings of the 37th International Conference on Machine Learning, 2020

Domain Adaptive Imitation Learning.

Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Cross Domain Imitation Learning.

Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon

CoRR, 2019