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2020 – today
- 2024
[c2]Michael Scholkemper
, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn Kampa, Michael T. Schaub:
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings. ICASSP 2024: 9751-9755- [i1]Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn Kampa, Michael T. Schaub:
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings. CoRR abs/2401.03913 (2024) - 2023
- [j2]Ugo Bruno, Anna Mariano, Daniela Rana, Tobias Gemmeke, Simon Musall, Francesca Santoro:
From neuromorphic to neurohybrid: transition from the emulation to the integration of neuronal networks. Neuromorph. Comput. Eng. 3(2): 23002 (2023) - 2020
- [j1]Shreya Saxena, Ian Kinsella, Simon Musall, Sharon H. Kim, Jozsef Meszaros, David N. Thibodeaux, Carla Kim, John J. Cunningham, Elizabeth M. C. Hillman, Anne Churchland, Liam Paninski:
Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data. PLoS Comput. Biol. 16(4) (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
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