Wyatt, Jeremy L.

12 publications

JAIR 2019 REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics Mohan Sridharan, Michael Gelfond, Shiqi Zhang, Jeremy L. Wyatt

AISTATS 2018 Efficient Bayesian Methods for Counting Processes in Partially Observable Environments Ferdian Jovan, Jeremy L. Wyatt, Nick Hawes

ICCV 2015 Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-Manifold Shapes Mete Ozay, Umit Rusen Aktas, Jeremy L. Wyatt, Ales Leonardis

ECCV 2014 A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt

IJCAI 2011 Exploiting Probabilistic Knowledge Under Uncertain Sensing for Efficient Robot Behaviour Marc Hanheide, Charles Gretton, Richard Dearden, Nick Hawes, Jeremy L. Wyatt, Andrzej Pronobis, Alper Aydemir, Moritz Göbelbecker, Hendrik Zender

ECCV 2010 Correlation-Based Intrinsic Image Extraction from a Single Image Xiaoyue Jiang, Andrew J. Schofield, Jeremy L. Wyatt

IJCAI 2009 Information-Lookahead Planning for AUV Mapping Zeyn A. Saigol, Richard Dearden, Jeremy L. Wyatt, Bramley J. Murton

IJCAI 2007 Mediating Between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction Michael Brenner, Nick Hawes, John D. Kelleher, Jeremy L. Wyatt

AAAI 2007 Towards an Integrated Robot with Multiple Cognitive Functions Nick Hawes, Aaron Sloman, Jeremy L. Wyatt, Michael Zillich, Henrik Jacobsson, Geert-Jan M. Kruijff, Michael Brenner, Gregor Berginc, Danijel Skocaj

JMLR 2005 Managing Diversity in Regression Ensembles Gavin Brown, Jeremy L. Wyatt, Peter Tiňo

ICML 2003 The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods Gavin Brown, Jeremy L. Wyatt

ICML 2001 Exploration Control in Reinforcement Learning Using Optimistic Model Selection Jeremy L. Wyatt