Maxime Jacquot

According to our database, Maxime Jacquot authored at least 12 papers between 2010 and 2022.

Collaborative distances:

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

2022

Pose Measurement at Small Scale by Spectral Analysis of Periodic Patterns.

Antoine N. André, Patrick Sandoz, Maxime Jacquot, Guillaume J. Laurent

Int. J. Comput. Vis., 2022

Fast Autofocusing using Tiny Transformer Networks for Digital Holographic Microscopy.

Stéphane Cuenat, Louis Andréoli, Antoine N. André, Patrick Sandoz, Guillaume J. Laurent, Raphaël Couturier, Maxime Jacquot

CoRR, 2022

2021

Robust Phase-Based Decoding for Absolute (X, Y, Θ) Positioning by Vision.

Antoine N. André, Patrick Sandoz, Benjamin Mauzé, Maxime Jacquot, Guillaume J. Laurent

IEEE Trans. Instrum. Meas., 2021

2020

Boolean learning under noise-perturbations in hardware neural networks.

Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner

CoRR, 2020

2019

Three dimensional waveguide-interconnects for scalable integration of photonic neural networks.

Johnny Moughames, Xavier Porte, Michael Thiel, Gwenn Ulliac, Maxime Jacquot, Laurent Larger, Muamer Kadic, Daniel Brunner

CoRR, 2019

Fundamental aspects of noise in analog-hardware neural networks.

Nadezhda Semenova, Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner

CoRR, 2019

Coupled nonlinear delay systems as deep convolutional neural networks.

Bogdan Penkovsky, Xavier Porte, Maxime Jacquot, Laurent Larger, Daniel Brunner

CoRR, 2019

Reservoir-Size Dependent Learning in Analogue Neural Networks.

Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018

Digital Holography as Computer Vision Position Sensor with an Extended Range of Working Distances.

Miguel Asmad Vergara, Maxime Jacquot, Guillaume J. Laurent, Patrick Sandoz

Sensors, 2018

2017

Reinforcement Learning in a large scale photonic Recurrent Neural Network.

Julian Bueno, Sheler Maktoobi, Luc Froehly, Ingo Fischer, Maxime Jacquot, Laurent Larger, Daniel Brunner

CoRR, 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

2010

Chaotic optical phase generated by electro-optic and optoelectronic nonlinear and nonlocal delayed feedback: Successful field experiment at 10 Gb/s.

Laurent Larger, Roman Lavrov, Maxime Jacquot

Proceedings of the 7th International Symposium on Communication Systems Networks and Digital Signal Processing, 2010