Rajesh P. N. Rao

	2009
49		Xu Miao, Rajesh P. N. Rao: Large Margin Boltzmann Machines. IJCAI 2009: 1156-1162
48		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
47		Nisha Yadav, Hrishikesh Joglekar, Rajesh P. N. Rao, M. N. Vahia, Iravatham Mahadevan, R. Adhikari: Statistical analysis of the Indus script using $n$-grams CoRR abs/0901.3017: (2009)
	2008
46		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
45		David B. Grimes, Rajesh P. N. Rao: Learning nonparametric policies by imitation. IROS 2008: 2022-2028
	2007
44		Aaron P. Shon, Deepak Verma, Rajesh P. N. Rao: Active Imitation Learning. AAAI 2007: 756-762
43		Deepak Verma, Rajesh P. N. Rao: Imitation Learning Using Graphical Models. ECML 2007: 757-764
42		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
41		Rawichote Chalodhorn, David B. Grimes, Keith Grochow, Rajesh P. N. Rao: Learning to Walk through Imitation. IJCAI 2007: 2084-2090
40		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
39		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)
38		Xu Miao, Rajesh P. N. Rao: Learning the Lie Groups of Visual Invariance. Neural Computation 19(10): 2665-2693 (2007)
	2006
37		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
36		Deepak Verma, Rajesh P. N. Rao: Planning and Acting in Uncertain Environments using Probabilistic Inference. IROS 2006: 2382-2387
35		David B. Grimes, Daniel R. Rashid, Rajesh P. N. Rao: Learning Nonparametric Models for Probabilistic Imitation. NIPS 2006: 521-528
34		David B. Grimes, Rawichote Chalodhorn, Rajesh P. N. Rao: Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference. Robotics: Science and Systems 2006
33		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)
	2005
32		Beau Crawford, Kai Miller, Pradeep Shenoy, Rajesh P. N. Rao: Real-Time Classification of Electromyographic Signals for Robotic Control. AAAI 2005: 523-528
31		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
30		Deepak Verma, Rajesh P. N. Rao: Goal-Based Imitation as Probabilistic Inference over Graphical Models. NIPS 2005
29		Aaron P. Shon, Keith Grochow, Aaron Hertzmann, Rajesh P. N. Rao: Learning Shared Latent Structure for Image Synthesis and Robotic Imitation. NIPS 2005
28		David B. Grimes, Rajesh P. N. Rao: Bilinear Sparse Coding for Invariant Vision. Neural Computation 17(1): 47-73 (2005)
27		Aaron P. Shon, Rajesh P. N. Rao: Implementing belief propagation in neural circuits. Neurocomputing 65-66: 393-399 (2005)
	2004
26		Pradeep Shenoy, Rajesh P. N. Rao: Dynamic Bayesian Networks for Brain-Computer Interfaces. NIPS 2004
25		Rajesh P. N. Rao: Hierarchical Bayesian Inference in Networks of Spiking Neurons. NIPS 2004
24		Rajesh P. N. Rao: Bayesian Computation in Recurrent Neural Circuits. Neural Computation 16(1): 1-38 (2004)
	2003
23		David B. Grimes, Aaron P. Shon, Rajesh P. N. Rao: Probabilistic Bilinear Models for Appearance-Based Vision. ICCV 2003: 1478-1485
22		Aaron P. Shon, Rajesh P. N. Rao: Learning temporal patterns by redistribution of synaptic efficacy. Neurocomputing 52-54: 13-18 (2003)
	2002
21		David B. Grimes, Rajesh P. N. Rao: A Bilinear Model for Sparse Coding. NIPS 2002: 1287-1294
	2001
20		Rajesh P. N. Rao, Terrence J. Sejnowski: Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning. Neural Computation 13(10): 2221-2237 (2001)
19		Rajesh P. N. Rao, David M. Eagleman, Terrence J. Sejnowski: Optimal Smoothing in Visual Motion Perception. Neural Computation 13(6): 1243-1253 (2001)
	2000
18		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)
17		Dana H. Ballard, Rajesh P. N. Rao, Zuohua Zhang: A single-spike model of predictive coding. Neurocomputing 32-33: 17-23 (2000)
	1999
16		Rajesh P. N. Rao, Terrence J. Sejnowski: Predictive Sequence Learning in Recurrent Neocortical Circuits. NIPS 1999: 164-170
	1998
15		Rajesh P. N. Rao, Daniel L. Ruderman: Learning Lie Groups for Invariant Visual Perception. NIPS 1998: 810-816
14		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)
13		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)
	1997
12		Rajesh P. N. Rao: Dynamic Appearance-Based Recognition. CVPR 1997: 540-546
11		Rajesh P. N. Rao: Correlates of Attention in a Model of Dynamic Visual Recognition. NIPS 1997
10		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)
	1995
9		Rajesh P. N. Rao, Dana H. Ballard: Object Indexing Using an Iconic Sparse Distributed Memory. ICCV 1995: 24-
8		Rajesh P. N. Rao, Dana H. Ballard: Natural Basis Functions and Topographic Memory for Face Recognition. IJCAI 1995: 10-19
7		Rajesh P. N. Rao, Gregory J. Zelinsky, Mary M. Hayhoe, Dana H. Ballard: Modeling Saccadic Targeting in Visual Search. NIPS 1995: 830-836
6		Rajesh P. N. Rao, Dana H. Ballard: An Active Vision Architecture Based on Iconic Representations. Artif. Intell. 78(1-2): 461-505 (1995)
5		Rajesh P. N. Rao: A Note on P-Selective Sets and Closeness. Inf. Process. Lett. 54(3): 179-185 (1995)
	1994
4		Dana H. Ballard, Rajesh P. N. Rao: Seeing Behind Occlusions. ECCV (1) 1994: 274-285
3		Rajesh P. N. Rao, Dana H. Ballard: Learning Saccadic Eye Movements Using Multiscale Spatial Filters. NIPS 1994: 893-900
2		Rajesh P. N. Rao, Jörg Rothe, Osamu Watanabe: Upward Separation for FewP and Related Classes. Inf. Process. Lett. 52(4): 175-180 (1994)
	1982
1		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)

Coauthor Index

1	R. Adhikari	[47]
2	R. C. Adlakha	[1]
3	Minoru Asada	[37]
4	Chris Baker	[31]
5	Dana H. Ballard	[3] [4] [6] [7] [8] [9] [10] [17]
6	Rawichote Chalodhorn	[34] [37] [41]
7	Jeffrey B. Cole	[40]
8	Beau Crawford	[32]
9	David M. Eagleman	[19]
10	Olac Fuentes	[13] [14]
11	David B. Grimes	[21] [23] [28] [31] [33] [34] [35] [37] [40] [41] [45] [46] [48]
12	Keith Grochow	[29] [41]
13	Mary M. Hayhoe	[7]
14	Aaron Hertzmann	[29]
15	Matthew W. Hoffman	[31] [33]
16	Scott E. Hudson	[46]
17	Hrishikesh Joglekar	[47]
18	W. F. Lindsey	[1]
19	Gabriel Y. Maganis	[37]
20	Iravatham Mahadevan	[47]
21	Andrew N. Meltzoff	[39]
22	Xu Miao	[38] [49]
23	Kai Miller	[32]
24	Daniel R. Rashid	[35]
25	Jörg Rothe	[2] [18]
26	Daniel L. Ruderman	[15]
27	C. G. Sahasrabuddhe	[1]
28	Terrence J. Sejnowski	[16] [19] [20]
29	Pradeep Shenoy	[26] [32] [46]
30	Aaron P. Shon	[22] [23] [27] [29] [31] [33] [39] [42] [44]
31	M. L. Smith	[1]
32	Joshua J. Storz	[39] [42]
33	Desney S. Tan	[46]
34	M. N. Vahia	[47]
35	Deepak Verma	[30] [36] [43] [44]
36	Osamu Watanabe	[2] [18]
37	David A. Wright	[1]
38	Nisha Yadav	[47]
39	Gregory J. Zelinsky	[7]
40	Zuohua Zhang	[17]
41	Shengli Zhou	[31]

Colors in the list of coauthors