Reinforcement Learning in a large scale photonic Recurrent Neural Network

14 November 2017

Papers citing "Reinforcement Learning in a large scale photonic Recurrent Neural Network"

30 / 30 papers shown

Title
Impact of internal noise on convolutional neural networks Ivan Kolesnikov Nadezhda Semenova 23 0 0 10 May 2025
Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classification Erwan Plouet Dédalo Sanz-Hernández A. Vecchiola Julie Grollier F. Mizrahi 47 0 0 05 Aug 2024
Impact of white Gaussian internal noise on analog echo-state neural networks Nadezhda Semenova 28 2 0 13 May 2024
LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition Lingfeng Liu Dong Ni Hangjie Yuan ViT 35 0 0 03 Mar 2024
Deep Photonic Reservoir Computer for Speech Recognition Enrico Picco Alessandro Lupo Serge Massar 16 4 0 11 Dec 2023
Backpropagation-free Training of Deep Physical Neural Networks Ali Momeni Babak Rahmani M. Malléjac Philipp del Hougne Romain Fleury AI4CE PINN 22 54 0 20 Apr 2023
Noise impact on recurrent neural network with linear activation function V. Moskvitin N. Semenova 22 2 0 23 Mar 2023
Bandit approach to conflict-free multi-agent Q-learning in view of photonic implementation Hiroaki Shinkawa N. Chauvet André Röhm Takatomo Mihana R. Horisaki G. Bachelier Makoto Naruse 11 0 0 20 Dec 2022
$EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units$ EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units Tao Yan Maoqi Zhang Sen Wan Kaifeng Shang Haiou Zhang Xun Cao Xing Lin Qionghai Dai 19 0 0 09 Dec 2022
Dual adaptive training of photonic neural networks Ziyang Zheng Zhengyang Duan Hang Chen Rui Yang Sheng Gao Haiou Zhang H. Xiong Xing Lin 19 30 0 09 Dec 2022
Intelligent Computing: The Latest Advances, Challenges and Future Shiqiang Zhu Ting Yu Tao Xu Hongyang Chen Schahram Dustdar ... Tariq S. Durrani Huaimin Wang Jiangxing Wu Tongyi Zhang Yunhe Pan AI4CE 25 117 0 21 Nov 2022
$Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network$ Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network Jingxi Li Yi-Chun Hung Onur Kulce Deniz Mengu Aydogan Ozcan 22 66 0 25 Mar 2022
Hybrid training of optical neural networks J. Spall Xianxin Guo A. Lvovsky 28 38 0 20 Mar 2022
Master memory function for delay-based reservoir computers with single-variable dynamics F. Köster S. Yanchuk K. Lüdge 17 5 0 28 Aug 2021
Wave-based extreme deep learning based on non-linear time-Floquet entanglement Ali Momeni Romain Fleury 14 20 0 19 Jul 2021
An optical neural network using less than 1 photon per multiplication Tianyu Wang Shifan Ma Logan G. Wright Tatsuhiro Onodera Brian C. Richard Peter L. McMahon 46 177 0 27 Apr 2021
Understanding and mitigating noise in trained deep neural networks N. Semenova L. Larger Daniel Brunner AI4CE 6 34 0 12 Mar 2021
$Scale-, shift- and rotation-invariant diffractive optical networks$ Scale-, shift- and rotation-invariant diffractive optical networks Deniz Mengu Y. Rivenson Aydogan Ozcan 49 65 0 24 Oct 2020
$Misalignment Resilient Diffractive Optical Networks$ Misalignment Resilient Diffractive Optical Networks Deniz Mengu Yifan Zhao N. Yardimci Y. Rivenson Mona Jarrahi Aydogan Ozcan 23 99 0 23 May 2020
Adaptive model selection in photonic reservoir computing by reinforcement learning Kazutaka Kanno Makoto Naruse Atsushi Uchida 13 11 0 27 Apr 2020
Large-scale spatiotemporal photonic reservoir computer for image classification P. Antonik N. Marsal D. Rontani 11 49 0 06 Apr 2020
Bayesian optimisation of large-scale photonic reservoir computers P. Antonik N. Marsal Daniel Brunner D. Rontani 6 22 0 06 Apr 2020
Boolean learning under noise-perturbations in hardware neural networks Louis Andréoli X. Porte Stéphane Chrétien M. Jacquot L. Larger Daniel Brunner 11 12 0 27 Mar 2020
Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons G. Marcucci D. Pierangeli Claudio Conti 16 109 0 15 Dec 2019
Efficient training and design of photonic neural network through neuroevolution Tian Zhang Jia Wang Yihang Dan Yuxiang Lanqiu Jian Dai Xu Han Xiaojuan Sun Kun Xu 21 49 0 04 Aug 2019
Reservoir-size dependent learning in analogue neural networks X. Porte Louis Andréoli M. Jacquot L. Larger Daniel Brunner 11 1 0 23 Jul 2019
Experimental kernel-based quantum machine learning in finite feature space Karol Bartkiewicz C. Gneiting A. Černoch K. Jiráková K. Lemr Franco Nori 9 72 0 10 Jun 2019
An Optical Frontend for a Convolutional Neural Network S. Colburn Yiren Chu Eli Shlizerman A. Majumdar 19 88 0 23 Dec 2018
$Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks$ Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks Deniz Mengu Yilin Luo Y. Rivenson Aydogan Ozcan 20 149 0 03 Oct 2018
Entangled-photon decision maker N. Chauvet D. Jegouso B. Boulanger H. Saigo K. Okamura H. Hori A. Drezet S. Huant G. Bachelier Makoto Naruse 11 20 0 12 Apr 2018