Sethu Vijayakumar

	2009
43		Narayanan U. Edakunni, Sethu Vijayakumar: Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic Regressors. MCS 2009: 102-111
42		Jan Steffen, Stefan Klanke, Sethu Vijayakumar, Helge Ritter: Towards Semi-supervised Manifold Learning: UKR with Structural Hints. WSOM 2009: 298-306
41		Sethu Vijayakumar, Marc Toussaint, Georgios Petkos, Matthew Howard: Planning and Moving in Dynamic Environments. Creating Brain-Like Intelligence 2009: 151-191
40		Adrian Haith, Sethu Vijayakumar: Implications of different classes of sensorimotor disturbance for cerebellar-based motor learning models. Biological Cybernetics 100(1): 81-95 (2009)
39		Heiko Hoffmann, Stefan Schaal, Sethu Vijayakumar: Local Dimensionality Reduction for Non-Parametric Regression. Neural Processing Letters 29(2): 109-131 (2009)
	2008
38		Djordje Mitrovic, Stefan Klanke, Sethu Vijayakumar: Optimal Control with Adaptive Internal Dynamics Models. ICINCO-ICSO 2008: 141-148
37		Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal: A Bayesian approach to empirical local linearization for robotics. ICRA 2008: 2860-2865
36		Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal: Bayesian Kernel Shaping for Learning Control. NIPS 2008: 1673-1680
35		Kian Ming Adam Chai, Christopher K. I. Williams, Stefan Klanke, Sethu Vijayakumar: Multi-task Gaussian Process Learning of Robot Inverse Dynamics. NIPS 2008: 265-272
34		Adrian Haith, Carl P. T. Jackson, R. Chris Miall, Sethu Vijayakumar: Unifying the Sensory and Motor Components of Sensorimotor Adaptation. NIPS 2008: 593-600
33		Sebastian Bitzer, Ioannis Havoutis, Sethu Vijayakumar: Synthesising Novel Movements through Latent Space Modulation of Scalable Control Policies. SAB 2008: 199-209
32		Djordje Mitrovic, Stefan Klanke, Sethu Vijayakumar: Adaptive Optimal Control for Redundantly Actuated Arms. SAB 2008: 93-102
31		Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar: Geodesic Gaussian kernels for value function approximation. Auton. Robots 25(3): 287-304 (2008)
30		Timothy M. Hospedales, Sethu Vijayakumar: Structure Inference for Bayesian Multisensory Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 30(12): 2140-2157 (2008)
	2007
29		Heiko Hoffmann, Georgios Petkos, Sebastian Bitzer, Sethu Vijayakumar: Sensor-assisted adaptive motor control under continuously varying context. ICINCO-ICSO 2007: 262-269
28		Graham McNeill, Sethu Vijayakumar: Linear and nonlinear generative probabilistic class models for shape contours. ICML 2007: 617-624
27		Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar: Value Function Approximation on Non-Linear Manifolds for Robot Motor Control. ICRA 2007: 1733-1740
26		Georgios Petkos, Sethu Vijayakumar: Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts. ICRA 2007: 2117-2123
25		Timothy M. Hospedales, Joel J. Cartwright, Sethu Vijayakumar: Structure Inference for Bayesian Multisensory Perception and Tracking. IJCAI 2007: 2122-2128
24		Narayanan U. Edakunni, Stefan Schaal, Sethu Vijayakumar: Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model. IJCAI 2007: 762-767
23		Georgios Petkos, Sethu Vijayakumar: Load estimation and control using learned dynamics models. IROS 2007: 1527-1532
	2006
22		Graham McNeill, Sethu Vijayakumar: Hierarchical Procrustes Matching for Shape Retrieval. CVPR (1) 2006: 885-894
21		Georgios Petkos, Marc Toussaint, Sethu Vijayakumar: Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts. ICANN (1) 2006: 898-907
20		Graham McNeill, Sethu Vijayakumar: A Probabilistic Approach to Robust Shape Matching. ICIP 2006: 937-940
19		Graham McNeill, Sethu Vijayakumar: Part-Based Probabilistic Point Matching. ICPR (2) 2006: 382-386
18		Graham McNeill, Sethu Vijayakumar: Part-based Probabilistic Point Matching using Equivalence Constraints. NIPS 2006: 969-976
	2005
17		Jan Peters, Sethu Vijayakumar, Stefan Schaal: Natural Actor-Critic. ECML 2005: 280-291
16		Marc Toussaint, Sethu Vijayakumar: Learning discontinuities with products-of-sigmoids for switching between local models. ICML 2005: 904-911
15		Graham McNeill, Sethu Vijayakumar: 2D Shape Classification and Retrieval. IJCAI 2005: 1483-1488
14		Marc Toussaint, Sethu Vijayakumar: Learning discontinuities for switching between local models. IJCAI 2005: 1744-1745
13		Sethu Vijayakumar, Aaron D'Souza, Stefan Schaal: Incremental Online Learning in High Dimensions. Neural Computation 17(12): 2602-2634 (2005)
	2004
12		Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal: The Bayesian backfitting relevance vector machine. ICML 2004
	2002
11		Stefan Schaal, Christopher G. Atkeson, Sethu Vijayakumar: Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning. Appl. Intell. 17(1): 49-60 (2002)
10		Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata, Jörg Conradt, Stefan Schaal: Statistical Learning for Humanoid Robots. Auton. Robots 12(1): 55-69 (2002)
	2000
9		Sethu Vijayakumar, Stefan Schaal: Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space. ICML 2000: 1079-1086
8		Jörg Conradt, Gaurav Tevatia, Sethu Vijayakumar, Stefan Schaal: On-line Learning for Humanoid Robot Systems. ICML 2000: 191-198
7		Sethu Vijayakumar, Stefan Schaal: Fast and Efficient Incremental Learning for High-Dimensional Movement Systems. ICRA 2000: 1894-1899
6		Stefan Schaal, Christopher G. Atkeson, Sethu Vijayakumar: Real-Time Robot Learning with Locally Weighted Statistical Learning. ICRA 2000: 288-293
5		Christopher G. Atkeson, Joshua G. Hale, Frank E. Pollick, Marcia Riley, Shinya Kotosaka, Stefan Schaal, Tomohiro Shibata, Gaurav Tevatia, Ales Ude, Sethu Vijayakumar, Mitsuo Kawato: Using Humanoid Robots to Study Human Behavior. IEEE Intelligent Systems 15(4): 46-56 (2000)
	1999
4		Sethu Vijayakumar, S. Wu: Sequential Support Vector Classifiers and Regression. IIA/SOCO 1999
3		Sethu Vijayakumar, Hidemitsu Ogawa: RKHS-based functional analysis for exact incremental learning. Neurocomputing 29(1-3): 85-113 (1999)
	1998
2		Sethu Vijayakumar, Stefan Schaal: Local Adaptive Subspace Regression. Neural Processing Letters 7(3): 139-149 (1998)
	1997
1		Stefan Schaal, Sethu Vijayakumar, Christopher G. Atkeson: Local Dimensionality Reduction. NIPS 1997

Coauthor Index

1	Christopher G. Atkeson	[1] [5] [6] [11]
2	Sebastian Bitzer	[29] [33]
3	Joel J. Cartwright	[25]
4	Kian Ming Adam Chai	[35]
5	Jörg Conradt	[8] [10]
6	Aaron D'Souza	[10] [12] [13] [37]
7	Narayanan U. Edakunni	[24] [43]
8	Hirotaka Hachiya	[27] [31]
9	Adrian Haith	[34] [40]
10	Joshua G. Hale	[5]
11	Ioannis Havoutis	[33]
12	Heiko Hoffmann	[29] [39]
13	Timothy M. Hospedales	[25] [30]
14	Matthew Howard	[41]
15	Carl P. T. Jackson	[34]
16	Mrinal Kalakrishnan	[36]
17	Mitsuo Kawato	[5]
18	Stefan Klanke	[32] [35] [38] [42]
19	Shinya Kotosaka	[5]
20	Graham McNeill	[15] [18] [19] [20] [22] [28]
21	R. Chris Miall	[34]
22	Djordje Mitrovic	[32] [38]
23	Hidemitsu Ogawa	[3]
24	Jan Peters	[17]
25	Georgios Petkos	[21] [23] [26] [29] [41]
26	Frank E. Pollick	[5]
27	Marcia Riley	[5]
28	Helge Ritter	[42]
29	Stefan Schaal	[1] [2] [5] [6] [7] [8] [9] [10] [11] [12] [13] [17] [24] [36] [37] [39]
30	Tomohiro Shibata	[5] [10]
31	Jan Steffen	[42]
32	Masashi Sugiyama	[27] [31]
33	Gaurav Tevatia	[5] [8]
34	Jo-Anne Ting	[36] [37]
35	Marc Toussaint	[14] [16] [21] [41]
36	Christopher Towell	[27] [31]
37	Ales Ude	[5]
38	Christopher K. I. Williams	[35]
39	S. Wu	[4]

Colors in the list of coauthors