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Matthew R. Whiteway
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2020 – today
- 2024
- [i1]Ari Blau, Evan S. Schaffer
, Neeli Mishra, Nathaniel J. Miska, International Brain Laboratory, Liam Paninski, Matthew R. Whiteway:
A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms. CoRR abs/2407.16727 (2024) - 2021
- [j1]Matthew R. Whiteway
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. PLoS Comput. Biol. 17(9) (2021) - 2020
- [c3]Joshua I. Glaser, Matthew R. Whiteway, John P. Cunningham, Liam Paninski, Scott W. Linderman:
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations. NeurIPS 2020 - [c2]Anqi Wu, Estefany Kelly Buchanan, Matthew R. Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan Schaffer, Neeli Mishra, C. Daniel Salzman, Dora E. Angelaki, Andrés Bendesky, International Brain Laboratory, John P. Cunningham, Liam Paninski:
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking. NeurIPS 2020
2010 – 2019
- 2019
- [c1]Eleanor Batty, Matthew R. Whiteway, Shreya Saxena, Dan Biderman, Taiga Abe, Simon Musall, Winthrop Gillis, Jeffrey E. Markowitz, Anne Churchland, John P. Cunningham, Sandeep R. Datta, Scott W. Linderman, Liam Paninski:
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos. NeurIPS 2019: 15680-15691 - 2018
- [b1]Matthew R. Whiteway:
A latent variable modeling framework for analyzing neural population activity. University of Maryland, College Park, MD, USA, 2018
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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