| 2007 |
|---|
| 10 | | Aaron P. Shon,
Deepak Verma,
Rajesh P. N. Rao:
Active Imitation Learning.
AAAI 2007: 756-762 |
| 9 | EE | 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 |
| 2006 |
|---|
| 8 | EE | 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 |
|---|
| 7 | | 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 |
| 6 | EE | Aaron P. Shon,
Keith Grochow,
Aaron Hertzmann,
Rajesh P. N. Rao:
Learning Shared Latent Structure for Image Synthesis and Robotic Imitation.
NIPS 2005 |
| 5 | EE | Aaron P. Shon,
Rajesh P. N. Rao:
Implementing belief propagation in neural circuits.
Neurocomputing 65-66: 393-399 (2005) |
| 2003 |
|---|
| 4 | EE | David B. Grimes,
Aaron P. Shon,
Rajesh P. N. Rao:
Probabilistic Bilinear Models for Appearance-Based Vision.
ICCV 2003: 1478-1485 |
| 3 | EE | Aaron P. Shon,
Rajesh P. N. Rao:
Learning temporal patterns by redistribution of synaptic efficacy.
Neurocomputing 52-54: 13-18 (2003) |
| 2001 |
|---|
| 2 | EE | Aaron P. Shon,
David Hsu,
Chris Diorio:
Learning Spike-Based Correlations and Conditional Probabilities in Silicon.
NIPS 2001: 1123-1130 |
| 2000 |
|---|
| 1 | EE | Aaron P. Shon,
Xiangbao Wu,
William B. Levy:
Using computational simulations to discover optimal training paradigms.
Neurocomputing 32-33: 995-1002 (2000) |
