Katie Kang

According to our database, Katie Kang authored at least 8 papers between 2019 and 2025.

Collaborative distances:

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

2025

Unfamiliar Finetuning Examples Control How Language Models Hallucinate.

Katie Kang, Eric Wallace, Claire J. Tomlin, Aviral Kumar, Sergey Levine

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?

Katie Kang, Amrith Setlur, Dibya Ghosh, Jacob Steinhardt, Claire J. Tomlin, Sergey Levine, Aviral Kumar

CoRR, 2024

Deep Neural Networks Tend To Extrapolate Predictably.

Katie Kang, Amrith Setlur, Claire J. Tomlin, Sergey Levine

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Multi-Task Imitation Learning for Linear Dynamical Systems.

Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control.

Katie Kang, Paula Gradu, Jason J. Choi, Michael Janner, Claire J. Tomlin, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2022

2021

Multi-Robot Deep Reinforcement Learning for Mobile Navigation.

Katie Kang, Gregory Kahn, Sergey Levine

CoRR, 2021

Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots.

Katie Kang, Gregory Kahn, Sergey Levine

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2019

Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight.

Katie Kang, Suneel Belkhale, Gregory Kahn, Pieter Abbeel, Sergey Levine

Proceedings of the International Conference on Robotics and Automation, 2019