Pavone, Marco

83 publications

ICCV 2025 Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation Yusuke Hirota, Ryo Hachiuma, Boyi Li, Ximing Lu, Michael Ross Boone, Boris Ivanovic, Yejin Choi, Marco Pavone, Yu-Chiang Frank Wang, Noa Garcia, Yuta Nakashima, Chao-Han Huck Yang

CoRL 2025 CUPID: Curating Data Your Robot Loves with Influence Functions Christopher Agia, Rohan Sinha, Jingyun Yang, Rika Antonova, Marco Pavone, Haruki Nishimura, Masha Itkina, Jeannette Bohg

CVPR 2025 Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models Zhejun Zhang, Peter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone

ICLR 2025 Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion Minkyoung Cho, Yulong Cao, Jiachen Sun, Qingzhao Zhang, Marco Pavone, Jeong Joon Park, Heng Yang, Zhuoqing Mao

CVPRW 2025 Data Scaling Laws for End-to-End Autonomous Driving Alexander Naumann, Xunjiang Gu, Tolga Dimlioglu, Mariusz Bojarski, Alperen Degirmenci, Alexander Popov, Devansh Bisla, Marco Pavone, Urs Muller, Boris Ivanovic

ICCV 2025 Describe Anything: Detailed Localized Image and Video Captioning Long Lian, Yifan Ding, Yunhao Ge, Sifei Liu, Hanzi Mao, Boyi Li, Marco Pavone, Ming-Yu Liu, Trevor Darrell, Adam Yala, Yin Cui

ICCV 2025 Extrapolated Urban View Synthesis Benchmark Xiangyu Han, Zhen Jia, Boyi Li, Yan Wang, Boris Ivanovic, Yurong You, Lingjie Liu, Yue Wang, Marco Pavone, Chen Feng, Yiming Li

ICLR 2025 Language-Image Models with 3D Understanding Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Kraehenbuehl, Yan Wang, Marco Pavone

CoRL 2025 Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation Rachel Luo, Heng Yang, Michael Watson, Apoorva Sharma, Sushant Veer, Edward Schmerling, Marco Pavone

ICLR 2025 LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Ziqi Lu, Heng Yang, Danfei Xu, Boyi Li, Boris Ivanovic, Marco Pavone, Yue Wang

NeurIPS 2025 Martian World Model: Controllable Video Synthesis with Physically Accurate 3D Reconstructions Longfei Li, Zhiwen Fan, Wenyan Cong, Xinhang Liu, Yuyang Yin, Matt Foutter, Panwang Pan, Chenyu You, Yue Wang, Zhangyang Wang, Yao Zhao, Marco Pavone, Yunchao Wei

ICLR 2025 Offline Hierarchical Reinforcement Learning via Inverse Optimization Carolin Schmidt, Daniele Gammelli, James Harrison, Marco Pavone, Filipe Rodrigues

ICLR 2025 OmniRe: Omni Urban Scene Reconstruction Ziyu Chen, Jiawei Yang, Jiahui Huang, Riccardo de Lutio, Janick Martinez Esturo, Boris Ivanovic, Or Litany, Zan Gojcic, Sanja Fidler, Marco Pavone, Li Song, Yue Wang

CoRL 2025 Pseudo-Simulation for Autonomous Driving Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta

CoRL 2025 Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning Milan Ganai, Rohan Sinha, Christopher Agia, Daniel Morton, Luigi Di Lillo, Marco Pavone

CoRL 2025 RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models Jacky Kwok, Christopher Agia, Rohan Sinha, Matt Foutter, Shulu Li, Ion Stoica, Azalia Mirhoseini, Marco Pavone

ICLR 2025 STORM: Spatio-TempOral Reconstruction Model for Large-Scale Outdoor Scenes Jiawei Yang, Jiahui Huang, Boris Ivanovic, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Peter Karkus, Danfei Xu, Yue Wang, Marco Pavone

CVPR 2025 Scaling Vision Pre-Training to 4k Resolution Baifeng Shi, Boyi Li, Han Cai, Yao Lu, Sifei Liu, Marco Pavone, Jan Kautz, Song Han, Trevor Darrell, Pavlo Molchanov, Hongxu Yin

TMLR 2025 Wolf: Dense Video Captioning with a World Summarization Framework Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone

ECCV 2024 Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic

NeurIPS 2024 DiffuBox: Refining 3D Object Detection with Point Diffusion Xiangyu Chen, Zhenzhen Liu, Katie Z Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark Campbell, Bharath Hariharan, Kilian Q. Weinberger

NeurIPS 2024 DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Peter Karkus

ECCV 2024 Dolphins: Multimodal Language Model for Driving Yingzi Ma, Yulong Cao, Jiachen Sun, Marco Pavone, Chaowei Xiao

CVPR 2024 Driving Everywhere with Large Language Model Policy Adaptation Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone

ICLR 2024 EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang

NeurIPS 2024 Large Spatial Model: End-to-End Unposed Images to Semantic 3D Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang

L4DC 2024 Learning for CasADi: Data-Driven Models in Numerical Optimization Tim Salzmann, Jon Arrizabalaga, Joel Andersson, Marco Pavone, Markus Ryll

NeurIPS 2024 Learning from Teaching Regularization: Generalizable Correlations Should Be Easy to Imitate Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Dimitris N. Metaxas, Marco Pavone

NeurIPS 2024 Memorize What Matters: Emergent Scene Decomposition from Multitraverse Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, Jose M. Alvarez

NeurIPS 2024 NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta

CVPR 2024 PARA-Drive: Parallelized Architecture for Real-Time Autonomous Driving Xinshuo Weng, Boris Ivanovic, Yan Wang, Yue Wang, Marco Pavone

ICML 2024 Parallelized Spatiotemporal Slot Binding for Videos Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che

CVPR 2024 Producing and Leveraging Online mAP Uncertainty in Trajectory Prediction Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic

CoRL 2024 Promptable Closed-Loop Traffic Simulation Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Kraehenbuehl, Marco Pavone

CoRL 2024 Q-SLAM: Quadric Representations for Monocular SLAM Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan

ECCV 2024 RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone

CoRL 2024 Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction Jakob Thumm, Christopher Agia, Marco Pavone, Matthias Althoff

CoRL 2024 Tokenize the World into Object-Level Knowledge to Address Long-Tail Events in Autonomous Driving Thomas Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone

NeurIPS 2024 Training an Open-Vocabulary Monocular 3D Detection Model Without 3D Data Rui Huang, Henry Zheng, Yan Wang, Zhuofan Xia, Marco Pavone, Gao Huang

CoRL 2024 Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress Christopher Agia, Rohan Sinha, Jingyun Yang, Ziang Cao, Rika Antonova, Marco Pavone, Jeannette Bohg

NeurIPSW 2024 Wolf: Captioning Everything with a World Summarization Framework Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone

ICML 2023 Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-Based Models Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone

CVPR 2023 FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization Jiawei Yang, Marco Pavone, Yue Wang

ICML 2023 Graph Reinforcement Learning for Network Control via Bi-Level Optimization Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira

L4DC 2023 Hybrid Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer

CoRL 2023 Language Conditioned Traffic Generation Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Kraehenbuehl

CoRL 2023 Language-Guided Traffic Simulation via Scene-Level Diffusion Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray

ICML 2023 Learning Control-Oriented Dynamical Structure from Data Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, Marco Pavone

CoRL 2023 Multi-Predictor Fusion: Combining Learning-Based and Rule-Based Trajectory Predictors Sushant Veer, Apoorva Sharma, Marco Pavone

CVPR 2023 Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation Heng Yang, Marco Pavone

AISTATS 2023 Online Learning for Traffic Routing Under Unknown Preferences Devansh Jalota, Karthik Gopalakrishnan, Navid Azizan, Ramesh Johari, Marco Pavone

NeurIPS 2023 PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar

ICLR 2023 Robust and Controllable Object-Centric Learning Through Energy-Based Models Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull

NeurIPS 2023 Trajdata: A Unified Interface to Multiple Human Trajectory Datasets Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone

AISTATS 2022 A Unified View of SDP-Based Neural Network Verification Through Completely Positive Programming Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone

AISTATS 2022 Second-Order Sensitivity Analysis for Bilevel Optimization Robert Dyro, Edward Schmerling, Nikos Arechiga, Marco Pavone

L4DC 2022 A Simple and Efficient Sampling-Based Algorithm for General Reachability Analysis Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone

ECCV 2022 AdvDO: Realistic Adversarial Attacks for Trajectory Prediction Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone

ECCVW 2022 Data Lifecycle Management in Evolving Input Distributions for Learning-Based Aerospace Applications Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone

L4DC 2022 Data-Driven Chance Constrained Control Using Kernel Distribution Embeddings Adam Thorpe, Thomas Lew, Meeko Oishi, Marco Pavone

CoRL 2022 DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles Peter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone

NeurIPSW 2022 Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning Boris Ivanovic, James Harrison, Marco Pavone

NeurIPSW 2022 Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta, Peter Karkus, Tong Che, Danfei Xu, Marco Pavone

UAI 2022 Local Calibration: Metrics and Recalibration Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone

CVPR 2022 Motron: Multimodal Probabilistic Human Motion Forecasting Tim Salzmann, Marco Pavone, Markus Ryll

CoRL 2022 Robust Trajectory Prediction Against Adversarial Attacks Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone

CVPR 2022 ScePT: Scene-Consistent, Policy-Based Trajectory Predictions for Planning Yuxiao Chen, Boris Ivanovic, Marco Pavone

CoRL 2022 Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles Alec Farid, Sushant Veer, Boris Ivanovic, Karen Leung, Marco Pavone

CVPR 2022 Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-Based Trajectory Prediction Xinshuo Weng, Boris Ivanovic, Kris Kitani, Marco Pavone

NeurIPS 2021 Data Sharing and Compression for Cooperative Networked Control Jiangnan Cheng, Marco Pavone, Sachin Katti, Sandeep Chinchali, Ao Tang

JAIR 2021 Efficient Large-Scale Multi-Drone Delivery Using Transit Networks Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone

L4DC 2021 SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions Benoit Landry, Hongkai Dai, Marco Pavone

UAI 2021 Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks Apoorva Sharma, Navid Azizan, Marco Pavone

NeurIPSW 2020 COCO: Learning Strategies for Online Mixed-Integer Control Abhishek Cauligi, Preston Culbertson, Mac Schwager, Bartolomeo Stellato, Marco Pavone

NeurIPS 2020 Continuous Meta-Learning Without Tasks James Harrison, Apoorva Sharma, Chelsea Finn, Marco Pavone

NeurIPS 2020 Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J Kochenderfer, Marco Pavone

CoRL 2020 MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone

CoRL 2020 Sampling-Based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling Thomas Lew, Marco Pavone

ECCV 2020 Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone

NeurIPS 2019 High-Dimensional Optimization in Adaptive Random Subspaces Jonathan Lacotte, Mert Pilanci, Marco Pavone

AISTATS 2019 Risk-Sensitive Generative Adversarial Imitation Learning Jonathan Lacotte, Mohammad Ghavamzadeh, Yinlam Chow, Marco Pavone

AAAI 2018 Cellular Network Traffic Scheduling with Deep Reinforcement Learning Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti

NeurIPS 2015 Risk-Sensitive and Robust Decision-Making: A CVaR Optimization Approach Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone