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ORCIDMarco Pavone 0001
Person information
- affiliation: Stanford University, CA, USA
Other persons with the same name
- Marco Pavone — disambiguation page
- Marco Pavone 0002
![[0000-0002-8674-5841]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8674-5841")
— Università degli Studi di Palermo, Palermo, Italy
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2020 – today
- 2024
[j74]Riccardo Mariani, Francesca Rossi, Rita Cucchiara, Marco Pavone, Barnaby Simkin, Ansgar Koene, Jochen Papenbrock:
Trustworthy AI - Part III. Computer 57(3): 22-24 (2024)- [j73]Stefan Jorgensen, Marco Pavone:
The matroid team surviving orienteers problem and its variants: Constrained routing of heterogeneous teams with risky traversal. Int. J. Robotics Res. 43(1): 34-52 (2024) - [j72]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone:
Sample-efficient safety assurances using conformal prediction. Int. J. Robotics Res. 43(9): 1409-1424 (2024) - [j71]John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven L. Waslander:
Bayesian Embeddings for Few-Shot Open World Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1513-1529 (2024) - [j70]Yuxiao Chen, Sushant Veer, Péter Karkus, Marco Pavone:
Interactive Joint Planning for Autonomous Vehicles. IEEE Robotics Autom. Lett. 9(2): 987-994 (2024) - [j69]Thomas Lew, Riccardo Bonalli, Marco Pavone:
Risk-Averse Trajectory Optimization via Sample Average Approximation. IEEE Robotics Autom. Lett. 9(2): 1500-1507 (2024) - [j68]Loris Roveda, Marco Pavone:
Gradient Descent-Based Task-Orientation Robot Control Enhanced With Gaussian Process Predictions. IEEE Robotics Autom. Lett. 9(9): 8035-8042 (2024) - [j67]Tony G. Chen, Stephanie Newdick, Julia Di, Carlo Bosio, Nitin Ongole, Mathieu G. A. Lapôtre, Marco Pavone, Mark R. Cutkosky:
Locomotion as manipulation with ReachBot. Sci. Robotics 9(89) (2024) - [j66]Robin A. Brown, David Esteban Bernal Neira, Davide Venturelli, Marco Pavone:
A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms. SIAM J. Optim. 34(2): 1455-1489 (2024) - [j65]Devansh Jalota, Kiril Solovey, Karthik Gopalakrishnan, Stephen Zoepf, Hamsa Balakrishnan, Marco Pavone:
When Efficiency Meets Equity in Congestion Pricing and Revenue Refunding Schemes. IEEE Trans. Control. Netw. Syst. 11(2): 1127-1138 (2024) - [j64]Nicolas Lanzetti, Maximilian Schiffer, Michael Ostrovsky, Marco Pavone:
On the Interplay Between Self-Driving Cars and Public Transportation. IEEE Trans. Control. Netw. Syst. 11(3): 1478-1490 (2024) - [c217]Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtering Inversion. 3DV 2024: 453-463 - [c216]Robin A. Brown, Davide Venturelli, Marco Pavone, David E. Bernal Neira:
Accelerating Continuous Variable Coherent Ising Machines via Momentum. CPAIOR (1) 2024: 109-126 - [c215]Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic:
Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. CVPR 2024: 14521-14530 - [c214]Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone:
Driving Everywhere with Large Language Model Policy Adaptation. CVPR 2024: 14948-14957 - [c213]Xinshuo Weng, Boris Ivanovic, Yan Wang, Yue Wang, Marco Pavone:
PARA-Drive: Parallelized Architecture for Real-Time Autonomous Driving. CVPR 2024: 15449-15458 - [c212]Aaryan Singhal, Daniele Gammelli, Justin Luke, Karthik Gopalakrishnan, Dominik Helmreich, Marco Pavone:
Real-Time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning. ECC 2024: 1407-1414 - [c211]Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang:
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. ICLR 2024 - [c210]Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che:
Parallelized Spatiotemporal Slot Binding for Videos. ICML 2024 - [c209]Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone:
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps. ICRA 2024: 4029-4035 - [c208]Zhiyu Huang, Péter Karkus, Boris Ivanovic, Yuxiao Chen, Marco Pavone, Chen Lv:
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving. ICRA 2024: 6806-6812 - [c207]Roberto Bigazzi, Lorenzo Baraldi, Shreyas Kousik, Rita Cucchiara, Marco Pavone:
Mapping High-level Semantic Regions in Indoor Environments without Object Recognition. ICRA 2024: 7686-7693 - [c206]Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone:
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. ICRA 2024: 9285-9292 - [c205]Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone:
Reinforcement Learning with Human Feedback for Realistic Traffic Simulation. ICRA 2024: 14428-14434 - [c204]Rachel Luo, Rohan Sinha, Yixiao Sun, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone:
Online Distribution Shift Detection via Recency Prediction. ICRA 2024: 16251-16263 - [c203]Tim Salzmann, Jon Arrizabalaga, Joel Andersson, Marco Pavone, Markus Ryll:
Learning for CasADi: Data-driven models in numerical optimization. L4DC 2024: 541-553 - [i254]Christopher Agia, Guillem Casadesus Vila, Saptarshi Bandyopadhyay, David S. Bayard, Kar-Ming Cheung, Charles H. Lee, Eric Wood, Ian Aenishanslin, Steven Ardito, Lorraine M. Fesq, Marco Pavone, Issa A. D. Nesnas:
Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators. CoRR abs/2401.11371 (2024) - [i253]Robin A. Brown, Davide Venturelli, Marco Pavone, David Esteban Bernal Neira:
Accelerating Continuous Variable Coherent Ising Machines via Momentum. CoRR abs/2401.12135 (2024) - [i252]Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Marco Pavone:
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate. CoRR abs/2402.02769 (2024) - [i251]Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone:
Driving Everywhere with Large Language Model Policy Adaptation. CoRR abs/2402.05932 (2024) - [i250]David Esteban Bernal Neira, Robin A. Brown, Pratik Sathe, Filip A. Wudarski, Marco Pavone, Eleanor Gilbert Rieffel, Davide Venturelli:
Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications. CoRR abs/2402.10255 (2024) - [i249]Devansh Jalota, Michael Ostrovsky, Marco Pavone:
When Simple is Near-Optimal in Security Games. CoRR abs/2402.11209 (2024) - [i248]Devansh Jalota, Matthew Tsao, Marco Pavone:
Catch Me If You Can: Combatting Fraud in Artificial Currency Based Government Benefits Programs. CoRR abs/2402.16162 (2024) - [i247]Somrita Banerjee, Edward Balaban, Mark Shirley, Kevin Bradner, Marco Pavone:
Contingency Planning Using Bi-level Markov Decision Processes for Space Missions. CoRR abs/2402.16342 (2024) - [i246]Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che:
Parallelized Spatiotemporal Binding. CoRR abs/2402.17077 (2024) - [i245]Lucas Fuentes Valenzuela, Robin A. Brown, Marco Pavone:
Decentralized Implicit Differentiation. CoRR abs/2403.01260 (2024) - [i244]Damien Berriaud, Ezzat Elokda, Devansh Jalota, Emilio Frazzoli, Marco Pavone, Florian Dörfler:
To Spend or to Gain: Online Learning in Repeated Karma Auctions. CoRR abs/2403.04057 (2024) - [i243]Roberto Bigazzi, Lorenzo Baraldi, Shreyas Kousik, Rita Cucchiara, Marco Pavone:
Mapping High-level Semantic Regions in Indoor Environments without Object Recognition. CoRR abs/2403.07076 (2024) - [i242]Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan:
Q-SLAM: Quadric Representations for Monocular SLAM. CoRR abs/2403.08125 (2024) - [i241]Daniel Morton, Mark R. Cutkosky, Marco Pavone:
Task-Driven Manipulation with Reconfigurable Parallel Robots. CoRR abs/2403.10768 (2024) - [i240]Chih-Yuan Chiu, Devansh Jalota, Marco Pavone:
Credit vs. Discount-Based Congestion Pricing: A Comparison Study. CoRR abs/2403.13923 (2024) - [i239]Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic:
Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. CoRR abs/2403.16439 (2024) - [i238]Zhiwen Fan, Wenyan Cong, Kairun Wen, Kevin Wang, Jian Zhang, Xinghao Ding, Danfei Xu, Boris Ivanovic, Marco Pavone, Georgios Pavlakos, Zhangyang Wang, Yue Wang:
InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds. CoRR abs/2403.20309 (2024) - [i237]Luis A. Pabon, Johannes Köhler, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone:
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC). CoRR abs/2404.01550 (2024) - [i236]Asad Ali Shahid, Yashraj S. Narang, Vincenzo Petrone, Enrico Ferrentino, Ankur Handa, Dieter Fox, Marco Pavone, Loris Roveda:
Scaling Population-Based Reinforcement Learning with GPU Accelerated Simulation. CoRR abs/2404.03336 (2024) - [i235]Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krähenbühl, Yan Wang, Marco Pavone:
Language-Image Models with 3D Understanding. CoRR abs/2405.03685 (2024) - [i234]Tony G. Chen, Julia Di, Stephanie Newdick, Mathieu G. A. Lapôtre, Marco Pavone, Mark R. Cutkosky:
ReachBot Field Tests in a Mojave Desert Lava Tube as a Martian Analog. CoRR abs/2405.15005 (2024) - [i233]Xiangyu Chen, Zhenzhen Liu, Katie Z. Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger:
DiffuBox: Refining 3D Object Detection with Point Diffusion. CoRR abs/2405.16034 (2024) - [i232]Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez:
Memorize What Matters: Emergent Scene Decomposition from Multitraverse. CoRR abs/2405.17187 (2024) - [i231]Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone:
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. CoRR abs/2406.01814 (2024) - [i230]Zhiwen Fan, Pu Wang, Yang Zhao, Yibo Zhao, Boris Ivanovic, Zhangyang Wang, Marco Pavone, Hao (Frank) Yang:
Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses. CoRR abs/2406.10789 (2024) - [i229]Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven L. Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Péter Karkus:
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features. CoRR abs/2406.12095 (2024) - [i228]Julia Di, Sara Cuevas-Quinones, Stephanie Newdick, Tony G. Chen, Marco Pavone, Mathieu G. A. Lapôtre, Mark R. Cutkosky:
Martian Exploration of Lava Tubes (MELT) with ReachBot: Scientific Investigation and Concept of Operations. CoRR abs/2406.13857 (2024) - [i227]Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta:
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. CoRR abs/2406.15349 (2024) - [i226]Ran Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone:
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving. CoRR abs/2407.00959 (2024) - [i225]Tony G. Chen, Stephanie Newdick, Julia Di, Carlo Bosio, Nitin Ongole, Mathieu G. A. Lapôtre, Marco Pavone, Mark R. Cutkosky:
Locomotion as Manipulation with ReachBot. CoRR abs/2407.00973 (2024) - [i224]Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic:
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention. CoRR abs/2407.06683 (2024) - [i223]Rohan Sinha, Amine Elhafsi, Christopher Agia, Matthew Foutter, Edward Schmerling, Marco Pavone:
Real-Time Anomaly Detection and Reactive Planning with Large Language Models. CoRR abs/2407.08735 (2024) - [i222]Yunhao Fang, Ligeng Zhu, Yao Lu, Yan Wang, Pavlo Molchanov, Jang Hyun Cho, Marco Pavone, Song Han, Hongxu Yin:
VILA2: VILA Augmented VILA. CoRR abs/2407.17453 (2024) - [i221]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:
Wolf: Captioning Everything with a World Summarization Framework. CoRR abs/2407.18908 (2024) - [i220]Ali Hindy, Rachel Luo, Somrita Banerjee, Jonathan Kuck, Edward Schmerling, Marco Pavone:
Diagnostic Runtime Monitoring with Martingales. CoRR abs/2407.21748 (2024) - [i219]Matthew Foutter, Praneet Bhoj, Rohan Sinha, Amine Elhafsi, Somrita Banerjee, Christopher Agia, Justin Kruger, Tommaso Guffanti, Daniele Gammelli, Simone D'Amico, Marco Pavone:
Adapting a Foundation Model for Space-based Tasks. CoRR abs/2408.05924 (2024) - [i218]Jakob Thumm, Christopher Agia, Marco Pavone, Matthias Althoff:
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction. CoRR abs/2408.06105 (2024) - [i217]Anthony Degleris, Lucas Fuentes Valenzuela, Ram Rajagopal, Marco Pavone, Abbas El Gamal:
Fast Grid Emissions Sensitivities using Parallel Decentralized Implicit Differentiation. CoRR abs/2408.10620 (2024) - [i216]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:
OmniRe: Omni Urban Scene Reconstruction. CoRR abs/2408.16760 (2024) - [i215]Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Krähenbühl, Marco Pavone:
Promptable Closed-loop Traffic Simulation. CoRR abs/2409.05863 (2024) - 2023
- [j63]Devansh Jalota, Kiril Solovey, Matthew Tsao, Stephen Zoepf, Marco Pavone:
Balancing fairness and efficiency in traffic routing via interpolated traffic assignment. Auton. Agents Multi Agent Syst. 37(2): 32 (2023) - [j62]Manabu Nakanoya, Sai Shankar Narasimhan, Sharachchandra Bhat, Alexandros Anemogiannis, Akul Datta, Sachin Katti, Sandeep Chinchali, Marco Pavone:
Co-design of communication and machine inference for cloud robotics. Auton. Robots 47(5): 579-594 (2023) - [j61]Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa A. D. Nesnas, Marco Pavone:
Semantic anomaly detection with large language models. Auton. Robots 47(8): 1035-1055 (2023) - [j60]Kevin Lin, Christopher Agia, Toki Migimatsu, Marco Pavone, Jeannette Bohg:
Text2Motion: from natural language instructions to feasible plans. Auton. Robots 47(8): 1345-1365 (2023) - [j59]Riccardo Mariani, Francesca Rossi, Rita Cucchiara, Marco Pavone, Barnaby Simkin, Ansgar Koene, Jochen Papenbrock:
Trustworthy AI - Part 1. Computer 56(2): 14-18 (2023) - [j58]Riccardo Mariani, Francesca Rossi, Rita Cucchiara, Marco Pavone, Barnaby Simkin, Ansgar Koene, Jochen Papenbrock:
Trustworthy AI - Part II. Computer 56(5): 13-16 (2023) - [j57]Devansh Jalota, Marco Pavone, Qi Qi, Yinyu Ye:
Fisher markets with linear constraints: Equilibrium properties and efficient distributed algorithms. Games Econ. Behav. 141: 223-260 (2023) - [j56]Karen Leung, Nikos Aréchiga, Marco Pavone:
Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods. Int. J. Robotics Res. 42(6): 356-370 (2023) - [j55]Sumeet Singh, Benoit Landry, Anirudha Majumdar, Jean-Jacques E. Slotine, Marco Pavone:
Robust feedback motion planning via contraction theory. Int. J. Robotics Res. 42(9): 655-688 (2023) - [j54]Spencer M. Richards, Navid Azizan, Jean-Jacques E. Slotine, Marco Pavone:
Control-oriented meta-learning. Int. J. Robotics Res. 42(10): 777-797 (2023) - [j53]Devansh Jalota, Dario Paccagnan, Maximilian Schiffer, Marco Pavone:
Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements. INFORMS J. Comput. 35(3): 560-577 (2023) - [j52]Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, Marco Pavone, Davide Scaramuzza, Markus Ryll:
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. IEEE Robotics Autom. Lett. 8(4): 2397-2404 (2023) - [j51]Riccardo Bonalli, Thomas Lew, Marco Pavone:
Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control. IEEE Trans. Autom. Control. 68(8): 4570-4585 (2023) - [j50]Gioele Zardini, Nicolas Lanzetti, Andrea Censi, Emilio Frazzoli, Marco Pavone:
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions. IEEE Trans. Netw. Sci. Eng. 10(2): 827-844 (2023) - [j49]Dror Dayan, Kiril Solovey, Marco Pavone, Dan Halperin:
Near-Optimal Multi-Robot Motion Planning with Finite Sampling. IEEE Trans. Robotics 39(5): 3422-3436 (2023) - [c202]Devansh Jalota, Karthik Gopalakrishnan, Navid Azizan, Ramesh Johari, Marco Pavone:
Online Learning for Traffic Routing under Unknown Preferences. AISTATS 2023: 3210-3229 - [c201]Karen Leung, Sushant Veer, Edward Schmerling, Marco Pavone:
Learning Autonomous Vehicle Safety Concepts from Demonstrations. ACC 2023: 3193-3200 - [c200]Thomas Lew, Riccardo Bonalli, Marco Pavone:
Exact Characterization of the Convex Hulls of Reachable Sets. CDC 2023: 52-59 - [c199]Devansh Jalota, Jessica Lazarus, Alexandre M. Bayen, Marco Pavone:
Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design. CDC 2023: 4124-4129 - [c198]John Irvin Alora, Luis A. Pabon, Johannes Köhler, Mattia Cenedese, Edward Schmerling, Melanie N. Zeilinger, George Haller, Marco Pavone:
Robust Nonlinear Reduced-Order Model Predictive Control. CDC 2023: 4798-4805 - [c197]Rohan Sinha, Edward Schmerling, Marco Pavone:
Closing the Loop on Runtime Monitors with Fallback-Safe MPC. CDC 2023: 6533-6540 - [c196]Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang, Marco Pavone:
Differentially Private Stochastic Convex Optimization for Network Routing Applications. CDC 2023: 7475-7482 - [c195]Shucheng Kang, Yuxiao Chen, Heng Yang, Marco Pavone:
Verification and Synthesis of Robust Control Barrier Functions: Multilevel Polynomial Optimization and Semidefinite Relaxation. CDC 2023: 8215-8222 - [c194]Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray:
Language-Guided Traffic Simulation via Scene-Level Diffusion. CoRL 2023: 144-177 - [c193]Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krähenbühl:
Language Conditioned Traffic Generation. CoRL 2023: 2714-2752 - [c192]Sushant Veer, Apoorva Sharma, Marco Pavone:
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. CoRL 2023: 2807-2820 - [c191]Jiawei Yang, Marco Pavone, Yue Wang:
FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization. CVPR 2023: 8254-8263 - [c190]Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull:
Robust and Controllable Object-Centric Learning through Energy-based Models. ICLR 2023 - [c189]Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone:
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. ICML 2023: 8053-8066 - [c188]Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira:
Graph Reinforcement Learning for Network Control via Bi-Level Optimization. ICML 2023: 10587-10610 - [c187]Spencer M. Richards, Jean-Jacques E. Slotine, Navid Azizan, Marco Pavone:
Learning Control-Oriented Dynamical Structure from Data. ICML 2023: 29051-29062 - [c186]Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Péter Karkus, Marco Pavone:
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. ICRA 2023: 1507-1513 - [c185]John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone:
Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. ICRA 2023: 2627-2633 - [c184]Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone:
BITS: Bi-level Imitation for Traffic Simulation. ICRA 2023: 2929-2936 - [c183]Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone:
Guided Conditional Diffusion for Controllable Traffic Simulation. ICRA 2023: 3560-3566 - [c182]Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone:
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. ICRA 2023: 5558-5565 - [c181]Boris Ivanovic, James Harrison, Marco Pavone:
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning. ICRA 2023: 7786-7793 - [c180]Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone:
Tree-structured Policy Planning with Learned Behavior Models. ICRA 2023: 7902-7908 - [c179]Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone:
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving. ICRA 2023: 9757-9763 - [c178]Stephanie Newdick, Nitin Ongole, Tony G. Chen, Edward Schmerling, Mark R. Cutkosky, Marco Pavone:
Motion Planning for a Climbing Robot with Stochastic Grasps. ICRA 2023: 11838-11844 - [c177]Kai-Chieh Hsu, Karen Leung, Yuxiao Chen, Jaime F. Fisac, Marco Pavone:
Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility. IROS 2023: 5918-5925 - [c176]Sever Topan, Yuxiao Chen, Edward Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone:
Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition. IV 2023: 1-8 - [c175]Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer:
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. L4DC 2023: 1284-1296 - [c174]Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone:
trajdata: A Unified Interface to Multiple Human Trajectory Datasets. NeurIPS 2023 - [c173]Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar:
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction. NeurIPS 2023 - [c172]Pasquale Antonante, Sushant Veer, Karen Leung, Xinshuo Weng, Luca Carlone, Marco Pavone:
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles. Robotics: Science and Systems 2023 - [i214]Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone:
Tree-structured Policy Planning with Learned Behavior Models. CoRR abs/2301.11902 (2023) - [i213]