Bicky A. Marquez

According to our database, Bicky A. Marquez authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Dynamic Electro-Optic Analog Memory for Neuromorphic Photonic Computing.

Sean Lam, Ahmed Khaled, Simon Bilodeau, Bicky A. Marquez, Paul R. Prucnal, Lukas Chrostowski, Bhavin J. Shastri, Sudip Shekhar

CoRR, 2024

2021

Monolithic Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment.

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

CoRR, 2021

Tutorial: Photonic Neural Networks in Delay Systems.

Daniel Brunner, Bogdan Penkovsky, Bicky A. Marquez, M. Jaquot, I. Fischer, Laurent Larger

CoRR, 2021

Prospects and applications of photonic neural networks.

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

CoRR, 2021

Neuromorphic Photonic Networks.

Bhavin J. Shastri, Simon Bilodeau, Bicky A. Marquez, Alexander N. Tait, Thomas Ferreira de Lima, Chaoran Huang, Lukas Chrostowski, Sudip Shekhar, Paul R. Prucnal

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

2020

Neuromorphic Photonics: Current Status and Challenges.

Paul R. Prucnal, Thomas Ferreira de Lima, Chaoran Huang, Bicky A. Marquez, Bhavin J. Shastri

Proceedings of the European Conference on Optical Communications, 2020

2019

Takens-inspired neuromorphic processor: a downsizing tool for random recurrent neural networks via feature extraction.

Bicky A. Marquez, Jose Suarez-Vargas, Bhavin J. Shastri

CoRR, 2019

Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs).

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

CoRR, 2019

2018

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).

Bicky A. Marquez

PhD thesis, 2018

2017

Embedding in Neural Networks: A-Priori Design of Hybrid Computers for Prediction.

Bicky A. Marquez, Jose Suarez-Vargas, Laurent Larger, Maxime Jacquot, Yanne K. Chembo, Daniel Brunner

Proceedings of the IEEE International Conference on Rebooting Computing, 2017