Tomlin, Claire

21 publications

CoRL 2025 Mechanistic Interpretability for Steering Vision-Language-Action Models Bear Häon, Kaylene Caswell Stocking, Ian Chuang, Claire Tomlin

ICML 2025 What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning? Katie Kang, Amrith Setlur, Dibya Ghosh, Jacob Steinhardt, Claire Tomlin, Sergey Levine, Aviral Kumar

L4DC 2024 A Framework for Evaluating Human Driver Models Using Neuroimaging Christopher Strong, Kaylene Stocking, Jingqi Li, Tianjiao Zhang, Jack Gallant, Claire Tomlin

ICLR 2024 Deep Neural Networks Tend to Extrapolate Predictably Katie Kang, Amrith Setlur, Claire Tomlin, Sergey Levine

L4DC 2024 Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security Marsalis Gibson, David Babazadeh, Claire Tomlin, Shankar Sastry

L4DC 2024 Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes Will Lavanakul, Jason Choi, Koushil Sreenath, Claire Tomlin

ICMLW 2024 Unfamiliar Finetuning Examples Control How Language Models Hallucinate Katie Kang, Eric Wallace, Claire Tomlin, Aviral Kumar, Sergey Levine

ICMLW 2024 Unfamiliar Finetuning Examples Control How Language Models Hallucinate Katie Kang, Eric Wallace, Claire Tomlin, Aviral Kumar, Sergey Levine

ICMLW 2024 Unfamiliar Finetuning Examples Control How Language Models Hallucinate Katie Kang, Eric Wallace, Claire Tomlin, Aviral Kumar, Sergey Levine

L4DC 2023 Compositional Learning-Based Planning for Vision POMDPs Sampada Deglurkar, Michael H Lim, Johnathan Tucker, Zachary N Sunberg, Aleksandra Faust, Claire Tomlin

L4DC 2023 Multi-Task Imitation Learning for Linear Dynamical Systems Thomas T. Zhang, Katie Kang, Bruce D Lee, Claire Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni

ICML 2022 Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control Katie Kang, Paula Gradu, Jason J Choi, Michael Janner, Claire Tomlin, Sergey Levine

CoRL 2021 From Robot Learning to Robot Understanding: Leveraging Causal Graphical Models for Robotics Kaylene Caswell Stocking, Alison Gopnik, Claire Tomlin

L4DC 2020 Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability Anjian Li, Somil Bansal, Georgios Giovanis, Varun Tolani, Claire Tomlin, Mo Chen

L4DC 2020 Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, Shankar Sastry, Claire Tomlin, Koushil Sreenath

L4DC 2020 Preface Alexandre M. Bayen, Ali Jadbabaie, George Pappas, Pablo A. Parrilo, Benjamin Recht, Claire Tomlin, Melanie Zeilinger

CoRL 2019 Combining Optimal Control and Learning for Visual Navigation in Novel Environments Somil Bansal, Varun Tolani, Saurabh Gupta, Jitendra Malik, Claire Tomlin

NeurIPS 2017 Countering Feedback Delays in Multi-Agent Learning Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Claire Tomlin

NeurIPS 2017 Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach Roel Dobbe, David Fridovich-Keil, Claire Tomlin

NeurIPS 2016 Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games Maximilian Balandat, Walid Krichene, Claire Tomlin, Alexandre Bayen

ICML 2015 The Hedge Algorithm on a Continuum Walid Krichene, Maximilian Balandat, Claire Tomlin, Alexandre Bayen