Arun Venkatraman

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J. Andrew BagnellCarnegie Mellon UniversityDirección de correo verificada de ri.cmu.edu
martial hebertCMUDirección de correo verificada de ri.cmu.edu
Byron BootsAssociate Professor, University of WashingtonDirección de correo verificada de cs.washington.edu
Wen SunAssistant Professor, Cornell UniversityDirección de correo verificada de cornell.edu
Katharina MuellingRoboticistDirección de correo verificada de google.com
John E. DowneyUniversity of ChicagoDirección de correo verificada de uchicago.edu
Jennifer L CollingerUniversity of Pittsburgh, VA Pittsburgh Healthcare SystemDirección de correo verificada de pitt.edu
Jeffrey M. WeissBioengineer, University of PittsburghDirección de correo verificada de pitt.edu
Shervin JavdaniPhD Student, Robotics Institute, Carnegie Mellon UniversityDirección de correo verificada de cmu.edu
Lerrel PintoNew York UniversityDirección de correo verificada de cs.nyu.edu
Moslem KazemiFounder and chief consultant, Pragmatic Robotics LLCDirección de correo verificada de pragmaticrobotics.com
Anthony StentzCourtesy Faculty, Robotics Institute, Carnegie Mellon UniversityDirección de correo verificada de nrec.ri.cmu.edu
Roberto CapobiancoSapienza University of Rome - Sony AIDirección de correo verificada de diag.uniroma1.it
Daniele NardiSapienza Univ. Roma, Dept. Computer, Control and Management EngineeringDirección de correo verificada de dis.uniroma1.it
Kris KitaniCarnegie Mellon University, Meta FAIRDirección de correo verificada de andrew.cmu.edu
Nicholas RhinehartAssistant Professor, University of TorontoDirección de correo verificada de utoronto.ca
Hanzhang HuCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu

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Arun Venkatraman

Aurora Innovation / past: Carnegie Mellon University

Dirección de correo verificada de cs.cmu.edu - Página principal

Robotics Machine Learning Artificial Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	283	2017
Improving multi-step prediction of learned time series models A Venkatraman, M Hebert, JA Bagnell AAAI Conference on Artificial Intelligence, 2015	279	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	132	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, 1-12, 2016	122	2016
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	120	2017
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	79	2015
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	68	2021
Learning to filter with predictive state inference machines W Sun, A Venkatraman, B Boots, JA Bagnell International conference on machine learning, 1197-1205, 2016	60	2016
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	50	2017
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	45	2017
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	31	2016
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	24	2016
Gradient boosting on stochastic data streams H Hu, W Sun, A Venkatraman, M Hebert, A Bagnell Artificial Intelligence and Statistics, 595-603, 2017	20	2017
DATA AS DEMONSTRATOR with Applications to System Identification A Venkatraman, B Boots, M Hebert, JA Bagnell NIPS Autonomously Learning Robots Workshop, 2014	18	2014
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	7	2016
Training Strategies for Time Series: Learning for Prediction, Filtering, and Reinforcement Learning A Venkatraman Carnegie Mellon University, 2017	3	2017
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	3	2015
A Novel Control Algorithm for Regulating the Tinting of Electrochromic Windows A Venkatraman, A Ram	1	2005
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

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