Maxime Jacquot

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 12

Top Topics

Periodic Patterns

Reinforcement Learning

Top Venues

IEEE Trans. Instrum. Meas.

Int. J. Comput. Vis.

Publications

Stéphane Cuenat, Louis Andréoli, Antoine N. André, Patrick Sandoz, Guillaume J. Laurent, Raphaël Couturier, Maxime Jacquot
Fast Autofocusing using Tiny Transformer Networks for Digital Holographic Microscopy. CoRR (2022)
Antoine N. André, Patrick Sandoz, Maxime Jacquot, Guillaume J. Laurent
Pose Measurement at Small Scale by Spectral Analysis of Periodic Patterns. Int. J. Comput. Vis. 130 (6) (2022)
Antoine N. André, Patrick Sandoz, Benjamin Mauzé, Maxime Jacquot, Guillaume J. Laurent
Robust Phase-Based Decoding for Absolute (X, Y, Θ) Positioning by Vision. IEEE Trans. Instrum. Meas. 70 (2021)
Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner
Boolean learning under noise-perturbations in hardware neural networks. CoRR (2020)
Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
Reservoir-Size Dependent Learning in Analogue Neural Networks. ICANN (Workshop) (2019)
Bogdan Penkovsky, Xavier Porte, Maxime Jacquot, Laurent Larger, Daniel Brunner
Coupled nonlinear delay systems as deep convolutional neural networks. CoRR (2019)
Nadezhda Semenova, Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
Fundamental aspects of noise in analog-hardware neural networks. CoRR (2019)
Xavier Porte, Louis Andreoli, Maxime Jacquot, Laurent Larger, Daniel Brunner
Reservoir-size dependent learning in analogue neural networks. CoRR (2019)
Johnny Moughames, Xavier Porte, Michael Thiel, Gwenn Ulliac, Maxime Jacquot, Laurent Larger, Muamer Kadic, Daniel Brunner
Three dimensional waveguide-interconnects for scalable integration of photonic neural networks. CoRR (2019)
Miguel Asmad Vergara, Maxime Jacquot, Guillaume J. Laurent, Patrick Sandoz
Digital Holography as Computer Vision Position Sensor with an Extended Range of Working Distances. Sensors 18 (7) (2018)
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)
Julian Bueno, Sheler Maktoobi, Luc Froehly, Ingo Fischer, Maxime Jacquot, Laurent Larger, Daniel Brunner
Reinforcement Learning in a large scale photonic Recurrent Neural Network. CoRR (2017)
Laurent Larger, Roman Lavrov, Maxime Jacquot
Chaotic optical phase generated by electro-optic and optoelectronic nonlinear and nonlocal delayed feedback: Successful field experiment at 10 Gb/s. CSNDSP (2010)