Claire Tomlin
28 papers · 2012–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (8)
π§
Keyword Pioneer
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(14)
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(125)
β‘
Prolific Year
(6)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(28)
π₯
Unstoppable
(11)
β
The Questioner
Conferences
L4DC (7)
RSS (7)
CORL (3)
ICML (3)
IJCAI (3)
NIPS (3)
ICLR (1)
NAACL (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(6)
partially observable markov decision process
(3)
optimal control
(3)
control barrier function
(3)
reachability analysis
(2)
bipedal locomotion
(2)
control lyapunov function
(2)
online learning
(2)
zero-sum game
(2)
dual averaging
(2)
trajectory planning
(2)
model uncertainty
(2)
robot navigation
(2)
safety-critical control
(2)
game theory
(2)
visual navigation
(2)
safety filter
(2)
nash equilibrium
(2)
trajectory prediction
(2)
multi-agent system
(2)
Papers
What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning?
ICML 2025
Mechanistic Interpretability for Steering Vision-Language-Action Models
CORL 2025
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety
RSS 2025
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
NAACL 2025
A framework for evaluating human driver models using neuroimaging
L4DC 2024
Hacking predictors means hacking cars: Using sensitivity analysis to identify trajectory prediction vulnerabilities for autonomous driving security
L4DC 2024
Safety filters for black-box dynamical systems by learning discriminating hyperplanes
L4DC 2024
Deep Neural Networks Tend To Extrapolate Predictably
ICLR 2024
Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint)
IJCAI 2024
Multi-Task Imitation Learning for Linear Dynamical Systems
L4DC 2023
Compositional Learning-based Planning for Vision POMDPs
L4DC 2023
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
ICML 2022
From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics
CORL 2021
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning
RSS 2021
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations
RSS 2021
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning
L4DC 2020
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization
IJCAI 2020
Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces
IJCAI 2020
Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability
L4DC 2020
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions
RSS 2020
Eyes-Closed Safety Kernels: Safety of Autonomous Systems Under Loss of Observability
RSS 2020
Combining Optimal Control and Learning for Visual Navigation in Novel Environments
CORL 2019
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions
RSS 2018
Countering Feedback Delays in Multi-Agent Learning
NIPS 2017
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
NIPS 2017
Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games
NIPS 2016
The Hedge Algorithm on a Continuum
ICML 2015
Reducing Conservativeness in Safety Guarantees by Learning Disturbances Online: Iterated Guaranteed Safe Online Learning
RSS 2012