Obserwuj
Arun Venkatraman
Arun Venkatraman
Aurora Innovation / past: Carnegie Mellon University
Zweryfikowany adres z cs.cmu.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Deeply aggrevated: Differentiable imitation learning for sequential prediction
W Sun, A Venkatraman, GJ Gordon, B Boots, JA Bagnell
International conference on machine learning, 3309-3318, 2017
2832017
Improving multi-step prediction of learned time series models
A Venkatraman, M Hebert, JA Bagnell
AAAI Conference on Artificial Intelligence, 2015
2792015
Perceiving, Learning, and Exploiting Object Affordances for Autonomous Pile Manipulation
D Katz, A Venkatraman, M Kazemi, JA Bagnell, A Stentz
Robotics Science and Systems, 2013
1322013
Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping
JE Downey, JM Weiss, K Muelling, A Venkatraman, JS Valois, M Hebert, ...
Journal of neuroengineering and rehabilitation 13, 1-12, 2016
1222016
Autonomy infused teleoperation with application to brain computer interface controlled manipulation
K Muelling, A Venkatraman, JS Valois, JE Downey, J Weiss, S Javdani, ...
Autonomous Robots 41, 1401-1422, 2017
1202017
Autonomy infused teleoperation with application to BCI manipulation
K Muelling, A Venkatraman, JS Valois, J Downey, J Weiss, S Javdani, ...
arXiv preprint arXiv:1503.05451, 2015
792015
Feedback in imitation learning: The three regimes of covariate shift
J Spencer, S Choudhury, A Venkatraman, B Ziebart, JA Bagnell
arXiv preprint arXiv:2102.02872, 2021
682021
Learning to filter with predictive state inference machines
W Sun, A Venkatraman, B Boots, JA Bagnell
International conference on machine learning, 1197-1205, 2016
602016
Improved learning of dynamics models for control
A Venkatraman, R Capobianco, L Pinto, M Hebert, D Nardi, JA Bagnell
2016 International Symposium on Experimental Robotics, 703-713, 2017
502017
Predictive-state decoders: Encoding the future into recurrent networks
A Venkatraman, N Rhinehart, W Sun, L Pinto, M Hebert, B Boots, K Kitani, ...
Advances in Neural Information Processing Systems 30, 2017
452017
Spatio-temporal matching for human pose estimation in video
F Zhou, F De la Torre
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (8), 1492-1504, 2016
312016
Online instrumental variable regression with applications to online linear system identification
A Venkatraman, W Sun, M Hebert, J Bagnell, B Boots
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
242016
Gradient boosting on stochastic data streams
H Hu, W Sun, A Venkatraman, M Hebert, A Bagnell
Artificial Intelligence and Statistics, 595-603, 2017
202017
DATA AS DEMONSTRATOR with Applications to System Identification
A Venkatraman, B Boots, M Hebert, JA Bagnell
NIPS Autonomously Learning Robots Workshop, 2014
182014
Inference Machines for Nonparametric Filter Learning
A Venkatraman, W Sun, M Hebert, B Boots, JA Bagnell
25th International Joint Conference on Artificial Intelligence (IJCAI-16), 2016
72016
Training Strategies for Time Series: Learning for Prediction, Filtering, and Reinforcement Learning
A Venkatraman
Carnegie Mellon University, 2017
32017
Brain-Machine Interface Control of a Robotic Arm for Object Grasping is Improved With Computer-Vision Based Shared Control.
CJ Tyler-Kabara EC, Downey J, Weiss J, Muelling K, Venkataraman A, Valois JS ...
Neurosurgery 62, 233--233, 2015
32015
A Novel Control Algorithm for Regulating the Tinting of Electrochromic Windows
A Venkatraman, A Ram
12005
Systems and methods related to controlling autonomous vehicle (s)
JA Bagnell, A Venkatraman, S Choudhury, V Narayanan
US Patent App. 18/269,209, 2024
2024
Systems and methods for autonomous vehicle validation
JA Bagnell, S Choudhury, ML Phillips, A Venkatraman, X Yan
US Patent 12,084,085, 2024
2024
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20