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 |