| Examining covid-19 forecasting using spatio-temporal graph neural networks A Kapoor, X Ben, L Liu, B Perozzi, M Barnes, M Blais, S O'Banion arXiv preprint arXiv:2007.03113, 2020 | 271 | 2020 |
| Material and energy flows in the materials production, assembly, and end-of-life stages of the automotive lithium-ion battery life cycle JB Dunn, L Gaines, M Barnes, JL Sullivan, M Wang Argonne National Lab.(ANL), Argonne, IL (United States), 2014 | 232 | 2014 |
| Imitation learning as f-divergence minimization L Ke, S Choudhury, M Barnes, W Sun, G Lee, S Srinivasa Algorithmic Foundations of Robotics XIV: Proceedings of the Fourteenth …, 2021 | 177 | 2021 |
| Leveraging publicly available data to discern patterns of human-trafficking activity A Dubrawski, K Miller, M Barnes, B Boecking, E Kennedy Journal of Human Trafficking 1 (1), 65-85, 2015 | 115 | 2015 |
| Material and Energy Flows in the Materials Production JB Dunn, L Gaines, M Barnes, JL Sullivan, M Wang Assembly, and End-of-Life Stages of the Automotive Lithium-Ion Battery Life …, 2014 | 64* | 2014 |
| Learning from interventions: Human-robot interaction as both explicit and implicit feedback J Spencer, S Choudhury, M Barnes, M Schmittle, M Chiang, P Ramadge, ... 16th robotics: science and systems, RSS 2020, 2020 | 58 | 2020 |
| Adaptive robot-assisted feeding: An online learning framework for acquiring previously unseen food items EK Gordon, X Meng, T Bhattacharjee, M Barnes, SS Srinivasa 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 42 | 2020 |
| Heterogeneous lora for federated fine-tuning of on-device foundation models YJ Cho, L Liu, Z Xu, A Fahrezi, G Joshi arXiv preprint arXiv:2401.06432, 2024 | 41 | 2024 |
| Expert intervention learning: An online framework for robot learning from explicit and implicit human feedback J Spencer, S Choudhury, M Barnes, M Schmittle, M Chiang, P Ramadge, ... Autonomous Robots, 1-15, 2022 | 39 | 2022 |
| Smartphone-based hard-braking event detection at scale for road safety services L Liu, D Racz, K Vaillancourt, J Michelman, M Barnes, S Mellem, ... Transportation research part C: emerging technologies 146, 103949, 2023 | 17 | 2023 |
| Examining COVID-19 forecasting using spatio-temporal graph neural networks (2020) A Kapoor, X Ben, L Liu, B Perozzi, M Barnes, M Blais, S O’Banion arXiv preprint arXiv:2007.03113, 2007 | 16 | 2007 |
| Learning from interventions J Spencer, S Choudhury, M Barnes, M Schmittle, M Chiang, P Ramadge, ... Robotics: Science and Systems (RSS), 2020 | 12 | 2020 |
| Massively Scalable Inverse Reinforcement Learning in Google Maps M Barnes, M Abueg, OF Lange, M Deeds, J Trader, D Molitor, ... The Twelfth International Conference on Learning Representations, 2023 | 10 | 2023 |
| Performance bounds for graphical record linkage RC Steorts, M Barnes, W Neiswanger Artificial Intelligence and Statistics, 298-306, 2017 | 10 | 2017 |
| Examining covid-19 forecasting using spatio-temporal graph neural networks. arXiv 2020 A Kapoor, X Ben, L Liu, B Perozzi, M Barnes, M Blais, S O’Banion arXiv preprint arXiv:2007.03113, 2007 | 10 | 2007 |
| Mo'states mo'problems: Emergency stop mechanisms from observation S Ainsworth, M Barnes, S Srinivasa Advances in Neural Information Processing Systems 32, 2019 | 8 | 2019 |
| Imitating language via scalable inverse reinforcement learning M Wulfmeier, M Bloesch, N Vieillard, A Ahuja, J Bornschein, S Huang, ... Advances in Neural Information Processing Systems 37, 90714-90735, 2025 | 3 | 2025 |
| The Binomial Block Bootstrap Estimator for Evaluating Loss on Dependent Clusters. M Barnes, A Dubrawski UAI 5 (6.3), 6.6, 2017 | 3 | 2017 |
| Simulation, design, and verification of an electrified bicycle energy model M Barnes, S Brennan Dynamic Systems and Control Conference 45295, 875-880, 2012 | 3 | 2012 |
| Learning from failures in robot-assisted feeding: Using online learning to develop manipulation strategies for bite acquisition EK Gordon, X Meng, M Barnes, T Bhattacharjee, SS Srinivasa arXiv preprint arXiv:1908.07088, 2019 | 2 | 2019 |
Siddhartha SrinivasaProfessor, University of WashingtonПотвърден имейл адрес: cs.washington.edu