2009 | ||
---|---|---|
37 | EE | Adrian Haith, Sethu Vijayakumar: Implications of different classes of sensorimotor disturbance for cerebellar-based motor learning models. Biological Cybernetics 100(1): 81-95 (2009) |
2008 | ||
36 | EE | Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal: A Bayesian approach to empirical local linearization for robotics. ICRA 2008: 2860-2865 |
35 | EE | Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal: Bayesian Kernel Shaping for Learning Control. NIPS 2008: 1673-1680 |
34 | EE | 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 |
33 | EE | Adrian Haith, Carl P. T. Jackson, R. Chris Miall, Sethu Vijayakumar: Unifying the Sensory and Motor Components of Sensorimotor Adaptation. NIPS 2008: 593-600 |
32 | EE | Sebastian Bitzer, Ioannis Havoutis, Sethu Vijayakumar: Synthesising Novel Movements through Latent Space Modulation of Scalable Control Policies. SAB 2008: 199-209 |
31 | EE | Djordje Mitrovic, Stefan Klanke, Sethu Vijayakumar: Adaptive Optimal Control for Redundantly Actuated Arms. SAB 2008: 93-102 |
30 | EE | Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar: Geodesic Gaussian kernels for value function approximation. Auton. Robots 25(3): 287-304 (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 | EE | Graham McNeill, Sethu Vijayakumar: Linear and nonlinear generative probabilistic class models for shape contours. ICML 2007: 617-624 |
27 | EE | Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar: Value Function Approximation on Non-Linear Manifolds for Robot Motor Control. ICRA 2007: 1733-1740 |
26 | EE | Georgios Petkos, Sethu Vijayakumar: Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts. ICRA 2007: 2117-2123 |
25 | EE | Timothy M. Hospedales, Joel J. Cartwright, Sethu Vijayakumar: Structure Inference for Bayesian Multisensory Perception and Tracking. IJCAI 2007: 2122-2128 |
24 | EE | Narayanan U. Edakunni, Stefan Schaal, Sethu Vijayakumar: Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model. IJCAI 2007: 762-767 |
23 | EE | Georgios Petkos, Sethu Vijayakumar: Load estimation and control using learned dynamics models. IROS 2007: 1527-1532 |
2006 | ||
22 | EE | Graham McNeill, Sethu Vijayakumar: Hierarchical Procrustes Matching for Shape Retrieval. CVPR (1) 2006: 885-894 |
21 | EE | Georgios Petkos, Marc Toussaint, Sethu Vijayakumar: Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts. ICANN (1) 2006: 898-907 |
20 | EE | Graham McNeill, Sethu Vijayakumar: A Probabilistic Approach to Robust Shape Matching. ICIP 2006: 937-940 |
19 | EE | Graham McNeill, Sethu Vijayakumar: Part-Based Probabilistic Point Matching. ICPR (2) 2006: 382-386 |
18 | EE | Graham McNeill, Sethu Vijayakumar: Part-based Probabilistic Point Matching using Equivalence Constraints. NIPS 2006: 969-976 |
2005 | ||
17 | EE | Jan Peters, Sethu Vijayakumar, Stefan Schaal: Natural Actor-Critic. ECML 2005: 280-291 |
16 | EE | Marc Toussaint, Sethu Vijayakumar: Learning discontinuities with products-of-sigmoids for switching between local models. ICML 2005: 904-911 |
15 | EE | Graham McNeill, Sethu Vijayakumar: 2D Shape Classification and Retrieval. IJCAI 2005: 1483-1488 |
14 | EE | Marc Toussaint, Sethu Vijayakumar: Learning discontinuities for switching between local models. IJCAI 2005: 1744-1745 |
13 | EE | Sethu Vijayakumar, Aaron D'Souza, Stefan Schaal: Incremental Online Learning in High Dimensions. Neural Computation 17(12): 2602-2634 (2005) |
2004 | ||
12 | EE | 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 | EE | 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 | EE | 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 |