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David B. Grimes
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2020 – today
- 2020
- [i1]Lawrence G. Phillips, David B. Grimes, Yihan Jessie Li:
Teacher-Student Domain Adaptation for Biosensor Models. CoRR abs/2003.07896 (2020)
2010 – 2019
- 2010
- [j4]Rawichote Chalodhorn, David B. Grimes, Keith Grochow, Rajesh P. N. Rao
:
Learning to Walk by Imitation in Low-Dimensional Subspaces. Adv. Robotics 24(1-2): 207-232 (2010)
2000 – 2009
- 2009
- [p1]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 - 2008
- [c14]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 - [c13]David B. Grimes, Rajesh P. N. Rao
Learning nonparametric policies by imitation. IROS 2008: 2022-2028 - 2007
- [c12]Rawichote Chalodhorn, David B. Grimes, Keith Grochow, Rajesh P. N. Rao:
Learning to Walk through Imitation. IJCAI 2007: 2084-2090 - [c11]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 - 2006
- [j3]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) - [c10]Rawichote Chalodhorn, David B. Grimes, Gabriel Y. Maganis, Rajesh P. N. Rao
Learning Humanoid Motion Dynamics through Sensory-motor Mapping in Reduced Dimensional Spaces. ICRA 2006: 3693-3698 - [c9]David B. Grimes, Daniel R. Rashid, Rajesh P. N. Rao:
Learning Nonparametric Models for Probabilistic Imitation. NIPS 2006: 521-528 - [c8]David B. Grimes, Rawichote Chalodhorn, Rajesh P. N. Rao
Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference. Robotics: Science and Systems 2006 - 2005
- [j2]David B. Grimes, Rajesh P. N. Rao
Bilinear Sparse Coding for Invariant Vision. Neural Comput. 17(1): 47-73 (2005) - [c7]Rawichote Chalodhorn, David B. Grimes, Gabriel Y. Maganis, Rajesh P. N. Rao
Learning dynamic humanoid motion using predictive control in low dimensional subspaces. Humanoids 2005: 214-219 - [c6]Aaron P. Shon, David B. Grimes, Chris L. Baker, Matthew W. Hoffman, Shengli Zhou, Rajesh P. N. Rao
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head. ICRA 2005: 2865-2870 - 2003
- [c5]David B. Grimes, Aaron P. Shon, Rajesh P. N. Rao
Probabilistic Bilinear Models for Appearance-Based Vision. ICCV 2003: 1478-1485 - 2002
- [c4]David B. Grimes, Rajesh P. N. Rao:
A Bilinear Model for Sparse Coding. NIPS 2002: 1287-1294 - 2001
- [c3]David Azari, J. K. Burns, K. Deshmukh, Dieter Fox, David B. Grimes, Cody C. T. Kwok, R. Pitkanen, A. P. Shon, P. Tressel:
Team Description: UW Huskies-01. RoboCup 2001: 721-724 - 2000
- [j1]Michael C. Mozer, Richard H. Wolniewicz, David B. Grimes, Eric Johnson, Howard Kaushansky:
Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry. IEEE Trans. Neural Networks Learn. Syst. 11(3): 690-696 (2000) - [c2]David B. Grimes, Michael Mozer:
The Interplay of Symbolic and Subsymbolic Processes in Anagram Problem Solving. NIPS 2000: 17-23
1990 – 1999
- 1999
- [c1]Michael Mozer, Richard H. Wolniewicz, David B. Grimes, Eric Johnson, Howard Kaushansky:
Churn Reduction in the Wireless Industry. NIPS 1999: 935-941
Coauthor Index
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