David Wingate
According to our database1,
David Wingate
authored at least 57 papers
between 2003 and 2024.
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Bibliography
2024
Human-robot planar co-manipulation of extended objects: data-driven models and control from human-human dyads.
Frontiers Neurorobotics, 2024
Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning.
CoRR, 2024
2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Frontiers Robotics AI, 2021
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Human-robot co-manipulation of extended objects: Data-driven models and control from analysis of human-human dyads.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Frontiers Robotics AI, 2019
Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning.
CoRR, 2019
2018
CoRR, 2018
Learning nonlinear dynamic models of soft robots for model predictive control with neural networks.
Proceedings of the IEEE International Conference on Soft Robotics, 2018
Threat, Explore, Barter, Puzzle: A Semantically-Informed Algorithm for Extracting Interaction Modes.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017
2016
Robust Source Localization and Enhancement With a Probabilistic Steered Response Power Model.
IEEE ACM Trans. Audio Speech Lang. Process., 2016
2015
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015
2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
2012
Proceedings of the Reinforcement Learning, 2012
2011
Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Smart data structures: an online machine learning approach to multicore data structures.
Proceedings of the 8th International Conference on Autonomic Computing, 2011
Proceedings of the 2011 eCrime Researchers Summit, 2011
2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the 7th International Conference on Autonomic Computing, 2010
2009
Proceedings of the UAI 2009, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
Efficiently learning linear-linear exponential family predictive representations of state.
Proceedings of the Machine Learning, 2008
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008
2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the IJCAI 2007, 2007
On discovery and learning of models with predictive representations of state for agents with continuous actions and observations.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007
2006
Proceedings of the Machine Learning, 2006
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems.
Proceedings of the Proceedings, 2006
2005
Proceedings of the UAI '05, 2005
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005
2004
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004
Proceedings of the Machine Learning, 2004
2003
Efficient Value Iteration Using Partitioned Models.
Proceedings of the 2003 International Conference on Machine Learning and Applications, 2003