Matt M. Botvinick
Affiliations:- University College London, Gatsby Computational Neuroscience Unit, UK
- Princeton University, Neuroscience Institute, NJ, USA (former)
- University of Pennsylvania, Department of Psychiatry, Philadelphia, PA, USA (former)
- Carnegie Mellon University, (PhD 2001)
According to our database1,
Matt M. Botvinick
authored at least 92 papers
between 2001 and 2023.
Collaborative distances:
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Bibliography
2023
Trans. Mach. Learn. Res., 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Entropy, December, 2022
Neural Networks, 2022
CoRR, 2022
The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study.
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures.
CoRR, 2020
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences.
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control.
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget.
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
J. Cogn. Neurosci., 2019
Learned human-agent decision-making, communication and joint action in a virtual reality environment.
CoRR, 2019
Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette.
CoRR, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
2017
Predictive representations can link model-based reinforcement learning to model-free mechanisms.
PLoS Comput. Biol., 2017
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017.
CoRR, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
Leveraging Preposition Ambiguity to Assess Compositional Distributional Models of Semantics.
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015
2014
The Computational and Neural Basis of Cognitive Control: Charted Territory and New Frontiers.
Cogn. Sci., 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
J. Cogn. Neurosci., 2013
Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments.
Artif. Intell., 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013
Divide and Conquer: Hierarchical Reinforcement Learning and Task Decomposition in Humans.
Proceedings of the Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013
2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2011
Classification of functional magnetic resonance imaging data using informative pattern features.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
2009
2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2005
Viewing facial expressions of pain engages cortical areas involved in the direct experience of pain.
NeuroImage, 2005
2001
NeuroImage, 2001