Marco Pavone

Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive Reasoning CVPR 2026 Latent Chain-of-Thought World Modeling for End-to-End Autonomous Driving CVPR 2026 Thinking in 360deg: Humanoid Visual Search in the Wild CVPR 2026 Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation ICCV 2025 Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models CVPR 2025 Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion ICLR 2025 CUPID: Curating Data your Robot Loves with Influence Functions CoRL 2025 Describe Anything: Detailed Localized Image and Video Captioning ICCV 2025 Extrapolated Urban View Synthesis Benchmark ICCV 2025 Language-Image Models with 3D Understanding ICLR 2025 Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation CoRL 2025 LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search NAACL 2025 LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models ICLR 2025 LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences ACL 2025 Offline Hierarchical Reinforcement Learning via Inverse Optimization ICLR 2025 OmniRe: Omni Urban Scene Reconstruction ICLR 2025 Pseudo-Simulation for Autonomous Driving CoRL 2025 Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning CoRL 2025 RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models CoRL 2025 Scaling Vision Pre-Training to 4K Resolution CVPR 2025 STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes ICLR 2025 Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention ECCV 2024 DiffuBox: Refining 3D Object Detection with Point Diffusion NeurIPS 2024 DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features NeurIPS 2024 Dolphins: Multimodal Language Model for Driving ECCV 2024 Driving Everywhere with Large Language Model Policy Adaptation CVPR 2024 EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision ICLR 2024 Large Spatial Model: End-to-end Unposed Images to Semantic 3D NeurIPS 2024 Learning for CasADi: Data-driven Models in Numerical Optimization L4DC 2024 Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate NeurIPS 2024 Memorize What Matters: Emergent Scene Decomposition from Multitraverse NeurIPS 2024 NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking NeurIPS 2024 PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving CVPR 2024 Parallelized Spatiotemporal Slot Binding for Videos ICML 2024 Producing and Leveraging Online Map Uncertainty in Trajectory Prediction CVPR 2024 Promptable Closed-loop Traffic Simulation CoRL 2024 Q-SLAM: Quadric Representations for Monocular SLAM CoRL 2024 RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios ECCV 2024 Real-Time Anomaly Detection and Reactive Planning with Large Language Models RSS 2024 Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction CoRL 2024 Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving CoRL 2024 Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data NeurIPS 2024 Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress CoRL 2024 Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models ICML 2023 FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization CVPR 2023 Graph Reinforcement Learning for Network Control via Bi-Level Optimization ICML 2023 Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems L4DC 2023 Language Conditioned Traffic Generation CoRL 2023 Language-Guided Traffic Simulation via Scene-Level Diffusion CoRL 2023 Learning Control-Oriented Dynamical Structure from Data ICML 2023 Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors CoRL 2023 Object Pose Estimation With Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation CVPR 2023 Online Learning for Traffic Routing under Unknown Preferences AISTATS 2023 PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction NeurIPS 2023 Robust and Controllable Object-Centric Learning through Energy-based Models ICLR 2023 Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles RSS 2023 trajdata: A Unified Interface to Multiple Human Trajectory Datasets NeurIPS 2023 AdvDO: Realistic Adversarial Attacks for Trajectory Prediction ECCV 2022 A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis L4DC 2022 A Unified View of SDP-based Neural Network Verification through Completely Positive Programming AISTATS 2022 Data-Driven Chance Constrained Control using Kernel Distribution Embeddings L4DC 2022 DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles CoRL 2022 Local calibration: metrics and recalibration UAI 2022 Motron: Multimodal Probabilistic Human Motion Forecasting CVPR 2022 Robust Trajectory Prediction against Adversarial Attacks CoRL 2022 ScePT: Scene-Consistent, Policy-Based Trajectory Predictions for Planning CVPR 2022 Second-Order Sensitivity Analysis for Bilevel Optimization AISTATS 2022 Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles CoRL 2022 Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction CVPR 2022 Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems RSS 2021 Co-Design of Communication and Machine Inference for Cloud Robotics RSS 2021 Data Sharing and Compression for Cooperative Networked Control NeurIPS 2021 Lyapunov-stable neural-network control RSS 2021 SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions L4DC 2021 Sketching curvature for efficient out-of-distribution detection for deep neural networks UAI 2021 Continuous Meta-Learning without Tasks NeurIPS 2020 Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders NeurIPS 2020 MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control CoRL 2020 Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling CoRL 2020 Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data ECCV 2020 A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization RSS 2019 High-Dimensional Optimization in Adaptive Random Subspaces NeurIPS 2019 Network Offloading Policies for Cloud Robotics: A Learning-Based Approach RSS 2019 Risk-Sensitive Generative Adversarial Imitation Learning AISTATS 2019 Scalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe Optimization RSS 2019 The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs ICCV 2019 Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach RSS 2019 On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms RSS 2018 Risk-Constrained Reinforcement Learning with Percentile Risk Criteria JMLR 2018 Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies RSS 2018 Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning RSS 2017 Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models RSS 2017 Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms RSS 2016 Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach NeurIPS 2015 Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective RSS 2014 Load Balancing for Mobility-on-Demand Systems RSS 2011