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Maximilian Puelma Touzel
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2020 – today
- 2024
- [i5]Zachary Yang, Anne Imouza, Maximilian Puelma Touzel, Cécile Amadoro, Gabrielle Desrosiers-Brisebois, Kellin Pelrine, Sacha Levy, Jean-François Godbout, Reihaneh Rabbany:
Regional and Temporal Patterns of Partisan Polarization during the COVID-19 Pandemic in the United States and Canada. CoRR abs/2407.02807 (2024) - [i4]Maximilian Puelma Touzel, Sneheel Sarangi, Austin Welch, Gayatri Krishnakumar, Dan Zhao, Zachary Yang, Hao Yu, Ethan Kosak-Hine, Tom Gibbs, Andreea Musulan, Camille Thibault, Busra Tugce Gurbuz, Reihaneh Rabbany, Jean-François Godbout, Kellin Pelrine:
A Simulation System Towards Solving Societal-Scale Manipulation. CoRR abs/2410.13915 (2024) - 2022
- [j4]Ryan Vogt
, Maximilian Puelma Touzel, Eli Shlizerman, Guillaume Lajoie:
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools. Frontiers Appl. Math. Stat. 8 (2022) - [j3]Maximilian Puelma Touzel
Performance-gated deliberation: A context-adapted strategy in which urgency is opportunity cost. PLoS Comput. Biol. 18(5) (2022) - [c2]Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish:
Continual Learning In Environments With Polynomial Mixing Times. NeurIPS 2022 - 2021
- [i3]Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish:
Continual Learning In Environments With Polynomial Mixing Times. CoRR abs/2112.07066 (2021) - 2020
- [j2]Maximilian Puelma Touzel
Inferring the immune response from repertoire sequencing. PLoS Comput. Biol. 16(4) (2020) - [i2]Ryan Vogt, Maximilian Puelma Touzel, Eli Shlizerman, Guillaume Lajoie:
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools. CoRR abs/2006.14123 (2020)
2010 – 2019
- 2019
- [c1]Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio, Guillaume Lajoie:
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics. NeurIPS 2019: 13591-13601 - [i1]Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio, Guillaume Lajoie:
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics. CoRR abs/1905.12080 (2019) - 2015
- [j1]Maximilian Puelma Touzel, Fred Wolf
Complete Firing-Rate Response of Neurons with Complex Intrinsic Dynamics. PLoS Comput. Biol. 11(12) (2015)
Coauthor Index
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