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Verification and Synthesis of Robust Control Barrier Functions: Multilevel Polynomial Optimization and Semidefinite Relaxation
Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles
Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation
Learning Autonomous Vehicle Safety Concepts from Demonstrations
BITS: Bi-level Imitation for Traffic Simulation
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning
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