Rajesh P. N. Rao

Xu Miao, Rajesh P. N. Rao: Fast Structured Prediction Using Large Margin Sigmoid Belief Networks. International Journal of Computer Vision 99(3): 302-318 (2012)

Xu Miao, Ali Rahimi, Rajesh P. N. Rao: Complementary Kernel Density Estimation. Pattern Recognition Letters 33(10): 1381-1387 (2012)

Matthew Bryan, Griffin Nicoll, Vibinash Thomas, Mike Chung, Joshua R. Smith, Rajesh P. N. Rao: Automatic extraction of command hierarchies for adaptive brain-robot interfacing. ICRA 2012: 3691-3697

Yanping Huang, Abram L. Friesen, Timothy D. Hanks, Michael N. Shadlen, Rajesh P. N. Rao: How Prior Probability Influences Decision Making: A Unifying Probabilistic Model. NIPS 2012: 1277-1285

Matthew Bryan, Joshua Green, Mike Chung, Lillian Y. Chang, Reinhold Scherer, Joshua R. Smith, Rajesh P. N. Rao: An adaptive brain-computer interface for humanoid robot control. Humanoids 2011: 199-204

Mike Chung, Willy Cheung, Reinhold Scherer, Rajesh P. N. Rao: A Hierarchical Architecture for Adaptive Brain-Computer Interfacing. IJCAI 2011: 1647-1652

Reinhold Scherer, Elisabeth C. V. Friedrich, Brendan Z. Allison, Markus Pröll, Mike Chung, Willy Cheung, Rajesh P. N. Rao, Christa Neuper: Non-invasive Brain-Computer Interfaces: Enhanced Gaming and Robotic Control. IWANN (1) 2011: 362-369

Rawichote Chalodhorn, David B. Grimes, Keith Grochow, Rajesh P. N. Rao: Learning to Walk by Imitation in Low-Dimensional Subspaces. Advanced Robotics 24(1-2): 207-232 (2010)

Rajesh P. N. Rao, Nisha Yadav, Mayank N. Vahia, Hrishikesh Joglekar, Ronojoy Adhikari, Iravatham Mahadevan: Entropy, the Indus Script, and Language: A Reply to R. Sproat. Computational Linguistics 36(4): 795-805 (2010)

Rajesh P. N. Rao: Probabilistic Analysis of an Ancient Undeciphered Script. IEEE Computer 43(4): 76-80 (2010)

Andrew N. Meltzoff, Rechele Brooks, Aaron P. Shon, Rajesh P. N. Rao: "Social" robots are psychological agents for infants: A test of gaze following. Neural Networks 23(8-9): 966-972 (2010)

Pradeep Shenoy, Rajesh P. N. Rao, Angela J. Yu: A rational decision making framework for inhibitory control. NIPS 2010: 2146-2154

Rawichote Chalodhorn, Rajesh P. N. Rao: Learning to Imitate Human Actions through Eigenposes. From Motor Learning to Interaction Learning in Robots 2010: 357-381

Xu Miao, Rajesh P. N. Rao: Large Margin Boltzmann Machines and Large Margin Sigmoid Belief Networks. CoRR abs/1003.4781 (2010)

Xu Miao, Rajesh P. N. Rao: Large Margin Boltzmann Machines. IJCAI 2009: 1156-1162

Rawichote Chalodhorn, Rajesh P. N. Rao: Using eigenposes for lossless periodic human motion imitation. IROS 2009: 2502-2509

David B. Grimes, Rajesh P. N. Rao: Learning Actions through Imitation and Exploration: Towards Humanoid Robots That Learn from Humans. Creating Brain-Like Intelligence 2009: 103-138

Nisha Yadav, Hrishikesh Joglekar, Rajesh P. N. Rao, Mayank N. Vahia, Iravatham Mahadevan, Ronojoy Adhikari: Statistical analysis of the Indus script using $n$-grams. CoRR abs/0901.3017 (2009)

Pradeep Shenoy, Kai J. Miller, Jeffrey G. Ojemann, Rajesh P. N. Rao: Generalized Features for Electrocorticographic BCIs. IEEE Trans. Biomed. Engineering 55(1): 273-280 (2008)

Pradeep Shenoy, Kai J. Miller, Beau Crawford, Rajesh P. N. Rao: Online Electromyographic Control of a Robotic Prosthesis. IEEE Trans. Biomed. Engineering 55(3): 1128-1135 (2008)

Kai J. Miller, Pradeep Shenoy, Marcel den Nijs, Larry B. Sorensen, Rajesh P. N. Rao, Jeffrey G. Ojemann: Beyond the Gamma Band: The Role of High-Frequency Features in Movement Classification. IEEE Trans. Biomed. Engineering 55(5): 1634-1637 (2008)

David B. Grimes, Desney S. Tan, Scott E. Hudson, Pradeep Shenoy, Rajesh P. N. Rao: Feasibility and pragmatics of classifying working memory load with an electroencephalograph. CHI 2008: 835-844

David B. Grimes, Rajesh P. N. Rao: Learning nonparametric policies by imitation. IROS 2008: 2022-2028

Aaron P. Shon, Joshua J. Storz, Andrew N. Meltzoff, Rajesh P. N. Rao: A Cognitive Model of Imitative Development in Humans and Machines. I. J. Humanoid Robotics 4(2): 387-406 (2007)

Xu Miao, Rajesh P. N. Rao: Learning the Lie Groups of Visual Invariance. Neural Computation 19(10): 2665-2693 (2007)

Aaron P. Shon, Deepak Verma, Rajesh P. N. Rao: Active Imitation Learning. AAAI 2007: 756-762

Deepak Verma, Rajesh P. N. Rao: Imitation Learning Using Graphical Models. ECML 2007: 757-764

Aaron P. Shon, Joshua J. Storz, Rajesh P. N. Rao: Towards a Real-Time Bayesian Imitation System for a Humanoid Robot. ICRA 2007: 2847-2852

Rawichote Chalodhorn, David B. Grimes, Keith Grochow, Rajesh P. N. Rao: Learning to Walk through Imitation. IJCAI 2007: 2084-2090

Jeffrey B. Cole, David B. Grimes, Rajesh P. N. Rao: Learning full-body motions from monocular vision: dynamic imitation in a humanoid robot. IROS 2007: 240-246

Matthew W. Hoffman, David B. Grimes, Aaron P. Shon, Rajesh P. N. Rao: A probabilistic model of gaze imitation and shared attention. Neural Networks 19(3): 299-310 (2006)

Rawichote Chalodhorn, David B. Grimes, Gabriel Y. Maganis, Rajesh P. N. Rao, Minoru Asada: Learning Humanoid Motion Dynamics through Sensory-motor Mapping in Reduced Dimensional Spaces. ICRA 2006: 3693-3698

Deepak Verma, Rajesh P. N. Rao: Planning and Acting in Uncertain Environments using Probabilistic Inference. IROS 2006: 2382-2387

David B. Grimes, Daniel R. Rashid, Rajesh P. N. Rao: Learning Nonparametric Models for Probabilistic Imitation. NIPS 2006: 521-528

David B. Grimes, Rawichote Chalodhorn, Rajesh P. N. Rao: Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference. Robotics: Science and Systems 2006

Aaron P. Shon, Rajesh P. N. Rao: Implementing belief propagation in neural circuits. Neurocomputing 65-66: 393-399 (2005)

David B. Grimes, Rajesh P. N. Rao: Bilinear Sparse Coding for Invariant Vision. Neural Computation 17(1): 47-73 (2005)

Beau Crawford, Kai J. Miller, Pradeep Shenoy, Rajesh P. N. Rao: Real-Time Classification of Electromyographic Signals for Robotic Control. AAAI 2005: 523-528

Aaron P. Shon, Keith Grochow, Rajesh P. N. Rao: Robotic imitation from human motion capture using Gaussian processes. Humanoids 2005: 129-134

Rawichote Chalodhorn, David B. Grimes, Gabriel Y. Maganis, Rajesh P. N. Rao: Learning dynamic humanoid motion using predictive control in low dimensional subspaces. Humanoids 2005: 214-219

Aaron P. Shon, David B. Grimes, Chris Baker, Matthew W. Hoffman, Shengli Zhou, Rajesh P. N. Rao: Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head. ICRA 2005: 2865-2870

Aaron P. Shon, Keith Grochow, Aaron Hertzmann, Rajesh P. N. Rao: Learning Shared Latent Structure for Image Synthesis and Robotic Imitation. NIPS 2005

Deepak Verma, Rajesh P. N. Rao: Goal-Based Imitation as Probabilistic Inference over Graphical Models. NIPS 2005

Rajesh P. N. Rao: Bayesian Computation in Recurrent Neural Circuits. Neural Computation 16(1): 1-38 (2004)

Rajesh P. N. Rao: Hierarchical Bayesian Inference in Networks of Spiking Neurons. NIPS 2004

Pradeep Shenoy, Rajesh P. N. Rao: Dynamic Bayesian Networks for Brain-Computer Interfaces. NIPS 2004

Aaron P. Shon, Rajesh P. N. Rao: Learning temporal patterns by redistribution of synaptic efficacy. Neurocomputing 52-54: 13-18 (2003)

David B. Grimes, Aaron P. Shon, Rajesh P. N. Rao: Probabilistic Bilinear Models for Appearance-Based Vision. ICCV 2003: 1478-1485

David B. Grimes, Rajesh P. N. Rao: A Bilinear Model for Sparse Coding. NIPS 2002: 1287-1294

Rajesh P. N. Rao, David M. Eagleman, Terrence J. Sejnowski: Optimal Smoothing in Visual Motion Perception. Neural Computation 13(6): 1243-1253 (2001)

Rajesh P. N. Rao, Terrence J. Sejnowski: Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning. Neural Computation 13(10): 2221-2237 (2001)

Dana H. Ballard, Rajesh P. N. Rao, Zuohua Zhang: A single-spike model of predictive coding. Neurocomputing 32-33: 17-23 (2000)

Rajesh P. N. Rao, Jörg Rothe, Osamu Watanabe: Corrigendum to "Upward separation for FewP and related classes". Inf. Process. Lett. 74(1-2): 89 (2000)

Rajesh P. N. Rao, Terrence J. Sejnowski: Predictive Sequence Learning in Recurrent Neocortical Circuits. NIPS 1999: 164-170

Rajesh P. N. Rao, Olac Fuentes: Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory. Auton. Robots 5(3-4): 297-316 (1998)

Rajesh P. N. Rao, Olac Fuentes: Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory. Machine Learning 31(1-3): 87-113 (1998)

Rajesh P. N. Rao, Daniel L. Ruderman: Learning Lie Groups for Invariant Visual Perception. NIPS 1998: 810-816

Rajesh P. N. Rao, Dana H. Ballard: Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex. Neural Computation 9(4): 721-763 (1997)

Rajesh P. N. Rao: Dynamic Appearance-Based Recognition. CVPR 1997: 540-546

Rajesh P. N. Rao: Correlates of Attention in a Model of Dynamic Visual Recognition. NIPS 1997

Rajesh P. N. Rao, Dana H. Ballard: An Active Vision Architecture Based on Iconic Representations. Artif. Intell. 78(1-2): 461-505 (1995)

Rajesh P. N. Rao: A Note on P-Selective Sets and Closeness. Inf. Process. Lett. 54(3): 179-185 (1995)

Dana H. Ballard, Rajesh P. N. Rao: Towards a Functional Theory of Vision Based on Visual Routines. DAGM-Symposium 1995: 646-667

Rajesh P. N. Rao, Dana H. Ballard: Object Indexing Using an Iconic Sparse Distributed Memory. ICCV 1995: 24-

Rajesh P. N. Rao, Dana H. Ballard: Natural Basis Functions and Topographic Memory for Face Recognition. IJCAI 1995: 10-19

Rajesh P. N. Rao, Gregory J. Zelinsky, Mary M. Hayhoe, Dana H. Ballard: Modeling Saccadic Targeting in Visual Search. NIPS 1995: 830-836

Rajesh P. N. Rao, Jörg Rothe, Osamu Watanabe: Upward Separation for FewP and Related Classes. Inf. Process. Lett. 52(4): 175-180 (1994)

Dana H. Ballard, Rajesh P. N. Rao: Seeing Behind Occlusions. ECCV (1) 1994: 274-285

Rajesh P. N. Rao, Dana H. Ballard: Learning Saccadic Eye Movements Using Multiscale Spatial Filters. NIPS 1994: 893-900

R. C. Adlakha, C. G. Sahasrabuddhe, David A. Wright, W. F. Lindsey, M. L. Smith, Rajesh P. N. Rao: Chromosome-bound mitotic factors: release by endonucleases. Nucleic Acids Research 10(13): 4107-4117 (1982)