Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems

27 April 2021

Papers citing "Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems"

30 / 30 papers shown

Title
Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networks S. Sunada T. Niiyama Kazutaka Kanno Rin Nogami André Röhm Takato Awano Atsushi Uchida AI4CE 66 1 0 26 Feb 2025
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions Zhaoxian Wu Quan Xian Tayfun Gokmen Omobayode Fagbohungbe Tianyi Chen 91 0 0 17 Feb 2025
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks Yequan Zhao Xinling Yu Xian Xiao Z. Chen Z. Liu G. Kurczveil R. Beausoleil S. Liu Z. Zhang 56 0 0 17 Feb 2025
A Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Shupeng Ning Hanqing Zhu Chenghao Feng Jiaqi Gu David Z. Pan Ray T. Chen 42 0 0 01 Feb 2025
Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins Ilker Oguz Louis J. E. Suter J. Hsieh Mustafa Yildirim Niyazi Ulaş Dinç Christophe Moser D. Psaltis 55 2 0 14 Jan 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
A Pontryagin Perspective on Reinforcement Learning Onno Eberhard Claire Vernade Michael Muehlebach 43 2 0 28 May 2024
Gradient-based Design of Computational Granular Crystals Atoosa Parsa C. O’Hern Rebecca Kramer‐Bottiglio Josh Bongard 28 1 0 07 Apr 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 31 4 0 18 Jan 2024
Deep Photonic Reservoir Computer for Speech Recognition Enrico Picco Alessandro Lupo Serge Massar 16 4 0 11 Dec 2023
Extending Neural Network Verification to a Larger Family of Piece-wise Linear Activation Functions László Antal Hana Masara Erika Ábrahám 36 0 0 16 Nov 2023
Nonlinear Processing with Linear Optics Mustafa Yildirim Niyazi Ulaş Dinç Ilker Oguz D. Psaltis C. Moser 40 35 0 17 Jul 2023
Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning Chenghao Feng Jiaqi Gu Hanqing Zhu R. Tang Shupeng Ning M. Hlaing J. Midkiff Sourabh Jain D. Pan Ray T. Chen 28 8 0 31 May 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
Universal Approximation Property of Hamiltonian Deep Neural Networks M. Zakwan M. d’Angelo Giancarlo Ferrari-Trecate 28 5 0 21 Mar 2023
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators M. Rasch C. Mackin M. Le Gallo An Chen A. Fasoli ... P. Narayanan H. Tsai G. Burr A. Sebastian V. Narayanan 13 83 0 16 Feb 2023
Learning Reservoir Dynamics with Temporal Self-Modulation Yusuke Sakemi S. Nobukawa Toshitaka Matsuki Takashi Morie Kazuyuki Aihara 19 6 0 23 Jan 2023
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
Data-driven Modeling of Mach-Zehnder Interferometer-based Optical Matrix Multipliers A. Cem Siqi Yan Yunhong Ding D. Zibar Francesco Da Ros 22 21 0 17 Oct 2022
Physical Computing for Materials Acceleration Platforms Erik J Peterson Alexander Lavin 11 3 0 17 Aug 2022
Making a Spiking Net Work: Robust brain-like unsupervised machine learning Peter G. Stratton Andrew Wabnitz Chip Essam A. Cheung T. Hamilton OOD 21 4 0 02 Aug 2022
Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly Constantine G. Evans Jackson O'Brien E. Winfree A. Murugan 16 47 0 13 Jul 2022
RF-Photonic Deep Learning Processor with Shannon-Limited Data Movement R. Davis Zaijun Chen R. Hamerly Dirk Englund MQ 22 5 0 08 Jul 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
Bias-Scalable Near-Memory CMOS Analog Processor for Machine Learning Pratik Kumar Ankita Nandi S. Chakrabartty Chetan Singh Thakur 8 5 0 10 Feb 2022
Learning on Arbitrary Graph Topologies via Predictive Coding Tommaso Salvatori Luca Pinchetti Beren Millidge Yuhang Song Tianyi Bao Rafal Bogacz Thomas Lukasiewicz 35 33 0 31 Jan 2022
Training a neural network with exciton-polariton optical nonlinearity A. Opala R. Panico V. Ardizzone B. Piętka J. Szczytko D. Sanvitto M. Matuszewski D. Ballarini 19 6 0 23 Jul 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 244 643 0 21 Apr 2021
$All-Optical Machine Learning Using Diffractive Deep Neural Networks$ All-Optical Machine Learning Using Diffractive Deep Neural Networks Xing Lin Y. Rivenson N. Yardimci Muhammed Veli Mona Jarrahi Aydogan Ozcan 64 1,628 0 14 Apr 2018