Stebėti
Matt Barnes
Matt Barnes
Patvirtintas el. paštas google.com
Pavadinimas
Cituota
Cituota
Metai
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
2302014
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
2262020
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
1442021
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
992015
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
382020
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
362020
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
182022
Material and energy flows in the materials production, assembly, and end-of-life stages of the automotive lithium-ion battery life cycle. Report, June 21, 2012; United States
JB Dunn, L Gaines, M Barnes, M Wang, J Sullivan
112012
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
112007
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
102023
Learning from interventions
J Spencer, S Choudhury, M Barnes, M Schmittle, M Chiang, P Ramadge, ...
Robotics: Science and Systems (RSS), 2020
102020
Performance bounds for graphical record linkage
RC Steorts, M Barnes, W Neiswanger
Artificial Intelligence and Statistics, 298-306, 2017
92017
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
82007
Mo'states mo'problems: Emergency stop mechanisms from observation
S Ainsworth, M Barnes, S Srinivasa
Advances in Neural Information Processing Systems 32, 2019
62019
The Binomial Block Bootstrap Estimator for Evaluating Loss on Dependent Clusters.
M Barnes, A Dubrawski
UAI 5 (6.3), 6.6, 2017
32017
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
22019
Simulation, design, and verification of an electrified bicycle energy model
M Barnes, S Brennan
Dynamic Systems and Control Conference 45295, 875-880, 2012
22012
Heterogeneous LoRA for Federated Fine-tuning of On-device Foundation Models
YJ Cho, L Liu, Z Xu, A Fahrezi, M Barnes, G Joshi
International Workshop on Federated Learning in the Age of Foundation Models …, 2023
12023
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
12023
Learning with Clusters
M Barnes
Carnegie Mellon University, 2019
12019
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Straipsniai 1–20