Arun Venkatraman
Arun Venkatraman
Aurora Innovation / past: Carnegie Mellon University
Verified email at - Homepage
Cited by
Cited by
Deeply aggrevated: Differentiable imitation learning for sequential prediction
W Sun, A Venkatraman, GJ Gordon, B Boots, JA Bagnell
arXiv preprint arXiv:1703.01030, 2017
Improving multi-step prediction of learned time series models
A Venkatraman, M Hebert, JA Bagnell
AAAI Conference on Artificial Intelligence, 2015
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
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), 1-12, 2016
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
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 (6), 1401-1422, 2017
Learning to filter with predictive state inference machines
W Sun, A Venkatraman, B Boots, JA Bagnell
International conference on machine learning, 1197-1205, 2016
Improved learning of dynamics models for control
A Venkatraman, R Capobianco, L Pinto, M Hebert, D Nardi, JA Bagnell
International Symposium on Experimental Robotics, 703-713, 2016
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, 1172-1183, 2017
Dynamic cascades with bidirectional bootstrapping for spontaneous facial action unit detection
Y Zhu, F De la Torre, JF Cohn, YJ Zhang
2009 3rd international conference on affective computing and intelligent …, 2009
Relationship Between Water Migration and Quality Changes of Yellowfin Tuna (Thunnus albacares) During Storage at 0°C and 4°C by LF-NMR
X Wang, L Geng, J Xie, YF Qian
Journal of aquatic food product technology 27 (1), 35-47, 2018
Gradient boosting on stochastic data streams
H Hu, W Sun, A Venkatraman, M Hebert, JA Bagnell
arXiv preprint arXiv:1703.00377, 2017
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
DATA AS DEMONSTRATOR with Applications to System Identification
A Venkatraman, B Boots, M Hebert, JA Bagnell
NIPS Autonomously Learning Robots Workshop, 2014
Agent based framework for modeling operations at isolated signalized intersections
IK Isukapati, GF List
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
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
Training Strategies for Time Series: Learning for Prediction, Filtering, and Reinforcement Learning
A Venkatraman
Carnegie Mellon University, 2017
J Achiam, D Held, A Tamar, P Abbeel, MCSBI Collision, P Chang, C Mertz, ...
Journal Article 36 (5), 139-149, 2017
A Novel Control Algorithm for Regulating the Tinting of Electrochromic Windows
A Venkatraman, A Ram
Robust Plant Phenotyping via Model-Based Optimization
P Sodhi, H Sun, B Póczos, D Wettergreen
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
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