| 2026 | ESANN | Mixed-Density Diffuser: Efficient Planning with Non-Uniform Temporal Resolution. | Crimson Stambaugh, Rajesh P. N. Rao |
| 2023 | CogSci | Dynamic Predictive Coding Explains Both Prediction and Postdiction in Visual Motion Perception. | Linxing Preston Jiang, Rajesh P. N. Rao |
| 2023 | CogSci | Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning. | Rajesh P. N. Rao, Dimitrios C. Gklezakos, Vishwas Sathish |
| 2022 | ICSE | Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition. | Cailin Winston, Caleb Winston, Chloe N. Winston, Claris Winston, Cleah Winston, Rajesh P. N. Rao, Ren Just |
| 2022 | SMC | Touching the Void: Intracranial Stimulation for NeuroHaptic Feedback in Virtual Reality. | Courtnie Jean Paschall, Jason S. Hauptman, Rajesh P. N. Rao, Jeffrey G. Ojemann, Jeffrey Herron |
| 2022 | SMC | Human intracortical responses to varying electrical stimulation conditions are separable in low-dimensional subspaces. | Samantha Sun, Lila H. Levinson, Courtnie Jean Paschall, Jeffrey Herron, Kurt E. Weaver, Jason S. Hauptman, Andrew Ko, Jeffrey G. Ojemann, Rajesh P. N. Rao |
| 2018 | AAAI | AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video. | Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton |
| 2018 | AAAI | Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps. | Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao |
| 2018 | SMC | Electrocorticographic Dynamics Predict Sustained Grasping and Upper-Limb Kinetic Output. | Katie Ly, Jing Wu, Lila Levinson, Benjamin R. Shuman, Katherine M. Steele, Jeffrey G. Ojemann, Rajesh P. N. Rao |
| 2017 | IROS | Learning deep generative spatial models for mobile robots. | Andrzej Pronobis, Rajesh P. N. Rao |
| 2016 | HRI | Initiative in Robot Assistance during Collaborative Task Execution. | Jimmy Baraglia, Maya Cakmak, Yukie Nagai, Rajesh P. N. Rao, Minoru Asada |
| 2016 | IROS | Autonomous question answering with mobile robots in human-populated environments. | Michael Jae-Yoon Chung, Andrzej Pronobis, Maya Cakmak, Dieter Fox, Rajesh P. N. Rao |
| 2015 | HRI | Exploring the Potential of Information Gathering Robots. | Michael Jae-Yoon Chung, Andrzej Pronobis, Maya Cakmak, Dieter Fox, Rajesh P. N. Rao |
| 2015 | ICRA | Robot Programming by Demonstration with situated spatial language understanding. | Maxwell Forbes, Rajesh P. N. Rao, Luke Zettlemoyer, Maya Cakmak |
| 2015 | IROS | Designing information gathering robots for human-populated environments. | Michael Jae-Yoon Chung, Andrzej Pronobis, Maya Cakmak, Dieter Fox, Rajesh P. N. Rao |
| 2014 | HCOMP | Robot Programming by Demonstration with Crowdsourced Action Fixes. | Maxwell Forbes, Michael Jae-Yoon Chung, Maya Cakmak, Rajesh P. N. Rao |
| 2014 | ICRA | Accelerating imitation learning through crowdsourcing. | Michael Jae-Yoon Chung, Maxwell Forbes, Maya Cakmak, Rajesh P. N. Rao |
| 2012 | ICRA | Automatic extraction of command hierarchies for adaptive brain-robot interfacing. | Matthew J. Bryan, Griffin Nicoll, Vibinash Thomas, Mike Chung, Joshua R. Smith, Rajesh P. N. Rao |
| 2011 | CogSci | Gaze Following as Goal Inference: A Bayesian Model. | Abram L. Friesen, Rajesh P. N. Rao |
| 2011 | IJCAI | A Hierarchical Architecture for Adaptive Brain-Computer Interfacing. | Mike Chung, Willy Cheung, Reinhold Scherer, Rajesh P. N. Rao |
| 2011 | IWANN | Non-invasive Brain-Computer Interfaces: Enhanced Gaming and Robotic Control. | Reinhold Scherer, Elisabeth C. V. Friedrich, Brendan Z. Allison, Markus Prll, Mike Chung, Willy Cheung, Rajesh P. N. Rao, Christa Neuper |
| 2009 | IJCAI | Large Margin Boltzmann Machines. | Xu Miao, Rajesh P. N. Rao |
| 2009 | IROS | Using eigenposes for lossless periodic human motion imitation. | Rawichote Chalodhorn, Rajesh P. N. Rao |
| 2008 | CHI | Feasibility and pragmatics of classifying working memory load with an electroencephalograph. | David B. Grimes, Desney S. Tan, Scott E. Hudson, Pradeep Shenoy, Rajesh P. N. Rao |
| 2008 | IROS | Learning nonparametric policies by imitation. | David B. Grimes, Rajesh P. N. Rao |
| 2007 | AAAI | Active Imitation Learning. | Aaron P. Shon, Deepak Verma, Rajesh P. N. Rao |
| 2007 | IJCAI | Learning to Walk through Imitation. | Rawichote Chalodhorn, David B. Grimes, Keith Grochow, Rajesh P. N. Rao |
| 2007 | IROS | Learning full-body motions from monocular vision: dynamic imitation in a humanoid robot. | Jeffrey B. Cole, David B. Grimes, Rajesh P. N. Rao |
| 2007 | ICRA | Towards a Real-Time Bayesian Imitation System for a Humanoid Robot. | Aaron P. Shon, Joshua J. Storz, Rajesh P. N. Rao |
| 2006 | ICRA | Learning Humanoid Motion Dynamics through Sensory-motor Mapping in Reduced Dimensional Spaces. | Rawichote Chalodhorn, David B. Grimes, Gabriel Y. Maganis, Rajesh P. N. Rao, Minoru Asada |
| 2006 | IROS | Planning and Acting in Uncertain Environments using Probabilistic Inference. | Deepak Verma, Rajesh P. N. Rao |
| 2005 | AAAI | Real-Time Classification of Electromyographic Signals for Robotic Control. | Beau Crawford, Kai J. Miller, Pradeep Shenoy, Rajesh P. N. Rao |
| 2005 | ICRA | Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head. | Aaron P. Shon, David B. Grimes, Chris L. Baker, Matthew W. Hoffman, Shengli Zhou, Rajesh P. N. Rao |
| 2003 | ICCV | Probabilistic Bilinear Models for Appearance-Based Vision. | David B. Grimes, Aaron P. Shon, Rajesh P. N. Rao |
| 1997 | CVPR | Dynamic Appearance-Based Recognition. | Rajesh P. N. Rao |
| 1995 | ICCV | Object Indexing Using an Iconic Sparse Distributed Memory. | Rajesh P. N. Rao, Dana H. Ballard |
| 1995 | IJCAI | Natural Basis Functions and Topographic Memory for Face Recognition. | Rajesh P. N. Rao, Dana H. Ballard |
| 1994 | ECCV | Seeing Behind Occlusions. | Dana H. Ballard, Rajesh P. N. Rao |