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2020 – today
- 2024
[i6]Sean Lam, Ahmed Khaled, Simon Bilodeau, Bicky A. Marquez, Paul R. Prucnal, Lukas Chrostowski, Bhavin J. Shastri, Sudip Shekhar:
Dynamic Electro-Optic Analog Memory for Neuromorphic Photonic Computing. CoRR abs/2401.16515 (2024)- 2021
- [c3]Bhavin J. Shastri, Simon Bilodeau, Bicky A. Marquez, Alexander N. Tait, Thomas Ferreira de Lima, Chaoran Huang, Lukas Chrostowski, Sudip Shekhar, Paul R. Prucnal:
Neuromorphic Photonic Networks. OFC 2021: 1-2 - [i5]Chaoran Huang, Volker J. Sorger, Mario Miscuglio, Mohammed Al-Qadasi, Avilash Mukherjee, Sudip Shekhar, Lukas Chrostowski, Lutz Lampe, Mitchell Nichols, Mable P. Fok, Daniel Brunner, Alexander N. Tait, Thomas Ferreira de Lima, Bicky A. Marquez, Paul R. Prucnal, Bhavin J. Shastri:
Prospects and applications of photonic neural networks. CoRR abs/2105.09943 (2021) - [i4]Daniel Brunner, Bogdan Penkovsky, Bicky A. Marquez, M. Jaquot, I. Fischer, Laurent Larger:
Tutorial: Photonic Neural Networks in Delay Systems. CoRR abs/2111.03332 (2021) - [i3]Matthew J. Filipovich, Zhimu Guo, Mohammed Al-Qadasi, Bicky A. Marquez, Hugh D. Morison, Volker J. Sorger, Paul R. Prucnal, Sudip Shekhar, Bhavin J. Shastri:
Monolithic Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment. CoRR abs/2111.06862 (2021) - 2020
- [c2]Paul R. Prucnal, Thomas Ferreira de Lima, Chaoran Huang, Bicky A. Marquez, Bhavin J. Shastri:
Neuromorphic Photonics: Current Status and Challenges. ECOC 2020: 1-4
2010 – 2019
- 2019
- [i2]Viraj Bangari, Bicky A. Marquez, Heidi B. Miller, Alexander N. Tait, Mitchell A. Nahmias, Thomas Ferreira de Lima, Hsuan-Tung Peng, Paul R. Prucnal, Bhavin J. Shastri:
Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs). CoRR abs/1907.01525 (2019) - [i1]Bicky A. Marquez, Jose Suarez-Vargas, Bhavin J. Shastri:
Takens-inspired neuromorphic processor: a downsizing tool for random recurrent neural networks via feature extraction. CoRR abs/1907.03122 (2019) - 2018
- [b1]Bicky A. Marquez:
Complex signal embedding and photonic reservoir Computing in time series prediction. (Reservoir computing photonique et méthodes non-linéaires de représentation de signaux complexes: Application à la prédiction de séries temporelles). University of Franche-Comté, France, 2018 - 2017
- [c1]Bicky A. Marquez, Jose Suarez-Vargas, Laurent Larger
, Maxime Jacquot, Yanne K. Chembo, Daniel Brunner:
Embedding in Neural Networks: A-Priori Design of Hybrid Computers for Prediction. ICRC 2017: 1-4
Coauthor Index
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