Research output

Research output per year 2007 2020 2021 2022 2023 2024

• 174 Conference contribution
• 76 Article
• 27 Conference article
• 21 Chapter
• 5 More
  • 2 Paper
  • 1 Comment/debate
  • 1 Editorial
  • 1 Review article

Research output per year

Research output per year

Search results

• 2023

  Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models

  Ding, W., Che, T., Zhao, D. & Pavone, M., 2023, In: Proceedings of Machine Learning Research. 202, p. 8053-8066 14 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Energy Model 100%
  • Reinforcement Learning 100%
  • Conditioned Reinforcement 100%
  • Reparameterization 100%
  • Bayes Theorem 100%

• DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles

  Karkus, P., Ivanovic, B., Mannor, S. & Pavone, M., 2023, In: Proceedings of Machine Learning Research. 205, p. 2170-2180 11 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Modular Control 100%
  • Differentiable Optimization 20%
  • Vehicle Architecture 20%
  • End-to-end Deep Learning 20%
  • Compounding Error 20%
  18 Citations (Scopus)

• Graph Reinforcement Learning for Network Control via Bi-Level Optimization

  Gammelli, D., Harrison, J., Yang, K., Pavone, M., Rodrigues, F. & Pereira, F. C., 2023, In: Proceedings of Machine Learning Research. 202, p. 10587-10610 24 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Graph Reinforcement Learning 100%
  • Learning for Network Control 100%
  • Scalability 100%
  • Reinforcement Learning 100%
  • Network Control 100%
  3 Citations (Scopus)

• Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems

  Enders, T., Harrison, J., Pavone, M. & Schiffer, M., 2023, In: Proceedings of Machine Learning Research. 211, p. 1284-1296 13 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Multi-agent Deep Reinforcement Learning (MADRL) 100%
  • bipartite matching 100%
  • Multi-Agent Deep Reinforcement Learning 100%
  • Weighted Bipartite Matching 50%
  • Soft Actor-critic 50%
  10 Citations (Scopus)

• Language Conditioned Traffic Generation

  Tan, S., Ivanovic, B., Weng, X., Pavone, M. & Krähenbühl, P., 2023, In: Proceedings of Machine Learning Research. 229

  Research output: Contribution to journal › Conference article › peer-review

  • Scene Generation 100%
  • Traffic Scene 100%
  • Dynamic Traffic 100%
  • Realism 100%
  • Traffic Generation 100%
  3 Citations (Scopus)

• Language-Guided Traffic Simulation via Scene-Level Diffusion

  Zhong, Z., Rempe, D., Chen, Y., Ivanovic, B., Cao, Y., Xu, D., Pavone, M. & Ray, B., 2023, In: Proceedings of Machine Learning Research. 229

  Research output: Contribution to journal › Conference article › peer-review

  • Language-guided 100%
  • Large Language Models 33%
  • Vehicle Development 33%
  • Spatial Transformer 33%
  • Language Instruction 33%
  3 Citations (Scopus)

• Learning Control-Oriented Dynamical Structure from Data

  Richards, S. M., Slotine, J. J., Azizan, N. & Pavone, M., 2023, In: Proceedings of Machine Learning Research. 202, p. 29051-29062 12 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Learning Control 100%
  • Dynamical System 100%
  • Nonlinear Tracking 50%
  • Joint Learning 50%
  • System of Vector Fields 50%
  1 Citation (Scopus)

• Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors

  Veer, S., Sharma, A. & Pavone, M., 2023, In: Proceedings of Machine Learning Research. 229

  Research output: Contribution to journal › Conference article › peer-review

  • Learning Rule 100%
  • Multi-predictor 100%
  • Interactive Traffic 100%
  • Efficient Planning 25%
  • Traffic Scenarios 25%

• Online Learning for Traffic Routing under Unknown Preferences

  Jalota, D., Gopalakrishnan, K., Azizan, N., Johari, R. & Pavone, M., 2023, In: Proceedings of Machine Learning Research. 206, p. 3210-3229 20 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Traffic Routing 100%
  • Traffic Network 100%
  • Destination Pair 50%
  • Selfish Users 33%
  • Expected Regret 33%
  1 Citation (Scopus)

• Robust Trajectory Prediction against Adversarial Attacks

  Cao, Y., Xu, D., Weng, X., Mao, Z. M., Anandkumar, A., Xiao, C. & Pavone, M., 2023, In: Proceedings of Machine Learning Research. 205, p. 128-137 10 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Robust Trajectory 100%
  • Clean Data 100%
  • Trajectory Prediction 100%
  • Adversarial Machine Learning 100%
  • Performance Degradation 50%
  12 Citations (Scopus)

• Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles

  Farid, A., Veer, S., Ivanovic, B., Leung, K. & Pavone, M., 2023, In: Proceedings of Machine Learning Research. 205, p. 1959-1969 11 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Failure Detection 100%
  • Relevant Failure 100%
  • Planning Costs 50%
  • Misprediction 50%
  • Failure Detector 50%
  9 Citations (Scopus)
• 2022

  A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis

  Lew, T., Janson, L., Bonalli, R. & Pavone, M., 2022, In: Proceedings of Machine Learning Research. 168, p. 1086-1099 14 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Neural Network Verification 100%
  • Reachable Set 100%
  • Reachability Analysis 100%
  • Efficient Sampling 100%
  • Robust Model Predictive Control 50%
  6 Citations (Scopus)

• A Unified View of SDP-based Neural Network Verification through Completely Positive Programming

  Brown, R., Schmerling, E., Azizan, N. & Pavone, M., 2022, In: Proceedings of Machine Learning Research. 151, p. 9334-9355 22 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Semidefinite Programming 100%
  • Completely Positive Program 100%
  • Neural Network Computation 66%
  • Input-output Relation 33%
  • Semidefinite Relaxation 33%
  6 Citations (Scopus)

• Data-Driven Chance Constrained Control using Kernel Distribution Embeddings

  Thorpe, A. J., Lew, T., Oishi, M. M. K. & Pavone, M., 2022, In: Proceedings of Machine Learning Research. 168, p. 790-802 13 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Kernel Mean Embedding 100%
  • Constrained Control 100%
  • Expectation Operator 100%
  • Open-Loop Control 100%
  • Stochastic Control 100%
  8 Citations (Scopus)

• Local Calibration: Metrics and Recalibration

  Luo, R., Bhatnagar, A., Bai, Y., Zhao, S., Wang, H., Xiong, C., Savarese, S., Ermon, S., Schmerling, E. & Pavone, M., 2022, In: Proceedings of Machine Learning Research. 180, p. 1286-1295 10 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Recalibration 100%
  • Calibration Error 100%
  • Local Calibration 100%
  • Calibration Metric 100%
  • Confidence Score 100%
  1 Citation (Scopus)

• Second-Order Sensitivity Analysis for Bilevel Optimization

  Dyro, R., Schmerling, E., Aréchiga, N. & Pavone, M., 2022, In: Proceedings of Machine Learning Research. 151, p. 9166-9181 16 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Implicit Function Theorem 100%
  • Second Order Sensitivity Analysis 100%
  • Implicit Function 100%
  • Hessian 37%
  • Self-Tuning 25%
  1 Citation (Scopus)
• 2021

  SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions

  Landry, B., Dai, H. & Pavone, M., 2021, In: Proceedings of Machine Learning Research. 144, p. 1105-1117 13 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Value Function Approximation 100%
  • Adversarial Samples 100%
  • Duality Theory 50%
  • Task Balancing 50%
  • Adversarial Learning 50%
  3 Citations (Scopus)

• Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks

  Sharma, A., Azizan, N. & Pavone, M., 2021, In: Proceedings of Machine Learning Research. 161, p. 1958-1967 10 p.

  Research output: Contribution to journal › Conference article › peer-review

  • OOD Detection 100%
  • Distribution Detection 66%
  • Epistemic Uncertainty 66%
  • Fisher Information Matrix 33%
  • Data Sketches 33%
  5 Citations (Scopus)
• 2020

  Continuous meta-learning without tasks

  Harrison, J., Sharma, A., Finn, C. & Pavone, M., 2020, In: Advances in Neural Information Processing Systems. 2020-December

  Research output: Contribution to journal › Conference article › peer-review

  • Segmentation Task 100%
  • Offline Data 33%
  • Discrete Task 33%
  • Task Segmentation 33%
  • Change Point Analysis 33%
  35 Citations (Scopus)

• Evidential sparsification of multimodal latent spaces in conditional variational autoencoders

  Itkina, M., Ivanovic, B., Senanayake, R., Kochenderfer, M. J. & Pavone, M., 2020, In: Advances in Neural Information Processing Systems. 2020-December

  Research output: Contribution to journal › Conference article › peer-review

  • Discrete Latent Space 100%
  • Sparsification 100%
  • Multimodality 100%
  • Intention 100%
  • Natural-Language Understanding 50%
  14 Citations (Scopus)

• MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control

  Ivanovic, B., Elhafsi, A., Rosman, G., Gaidon, A. & Pavone, M., 2020, In: Proceedings of Machine Learning Research. 155, p. 2243-2256 14 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Robot 100%
  • System Dynamics 100%
  • Modern Humans 100%
  • Autonomous Driving 100%
  • Time-varying Systems 100%
  16 Citations (Scopus)

• Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling

  Lew, T. & Pavone, M., 2020, In: Proceedings of Machine Learning Research. 155, p. 2055-2070 16 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Adversarial Sampling 100%
  • Network Trajectory 25%
  • Approximate Reachability 25%
  • Effective Sampling 25%
  • Robust Deep Learning 25%
  16 Citations (Scopus)
• 2019

  High-dimensional optimization in adaptive random subspaces

  Lacotte, J., Pilanci, M. & Pavone, M., 2019, In: Advances in Neural Information Processing Systems. 32

  Research output: Contribution to journal › Conference article › peer-review

  • Random Subspace 100%
  • Matrix Decomposition 50%
  • Dimensional Problem 50%
  • Input Data 50%
  • Convex Analysis 50%
  7 Citations (Scopus)
• 2015

  Risk-sensitive and robust decision-making: A CVaR optimization approach

  Chow, Y., Tamar, A., Mannor, S. & Pavone, M., 2015, In: Advances in Neural Information Processing Systems. 2015-January, p. 1522-1530 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Conditional Value At Risk 100%
  • Markov Decision Process 28%
  • Minimizes 14%
  • Approximates 14%
  • Worst Case 14%
  190 Citations (Scopus)
• 2014

  Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective

  Zhang, R. & Pavone, M., 2014, In: Robotics: Science and Systems.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • On-demand Systems 100%
  • Robotic Mobility 100%
  • Case Study 100%
  • Network Model 100%
  • Linear Program 100%
  25 Citations (Scopus)
• 2012

  A risk-constrained multi-stage decision making approach to the architectural analysis of planetary missions

  Kuwata, Y., Pavone, M. & Balaram, J., 2012, In: Proceedings of the IEEE Conference on Decision and Control. p. 2102-2109 8 p., 6426090.

  Research output: Contribution to journal › Conference article › peer-review

  • Multistage Decision Process 100%
  • Risk-constrained 100%
  • Architectural Analysis 100%
  • Descent Systems 50%
  • Computation Tools 50%
  7 Citations (Scopus)

• Models and efficient algorithms for pickup and delivery problems on roadmaps

  Treleaven, K., Pavone, M. & Frazzoli, E., 2012, In: Proceedings of the IEEE Conference on Decision and Control. p. 5691-5698 8 p., 6426164.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Omnidirectional Vehicle 100%
  • polynomial-time algorithm 100%
  • Stochastic Version 50%
  • Asymptotic Constant 50%
  • Road Network Model 50%
  11 Citations (Scopus)