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Resonance for Analog Recurrent Neural Network

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Applying Machine Learning to the Optics of Dielectric Nanoblobs
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Deep Learning in Drug Discovery
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Springer Handbook of Acoustics
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Framewise phoneme classification with bidirectional LSTM and other neural network architectures
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Inverse design of an integrated-nanophotonics optical neural network
inferredcites →https://doi.org/10.1021/acsnano.8b03569openalex-snapshot
Deep-Learning-Enabled On-Demand Design of Chiral Metamaterials
inferredcites →https://doi.org/10.1021/acsphotonics.7b01377openalex-snapshot
Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures
inferredcites →https://doi.org/10.1021/acsphotonics.8b01526openalex-snapshot
Migrating Knowledge between Physical Scenarios Based on Artificial Neural Networks
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Quantum machine learning
inferredcites →https://doi.org/10.1038/ncomms15391openalex-snapshot
Plasmonic computing of spatial differentiation
inferredcites →https://doi.org/10.1038/ncomms5308openalex-snapshot
Searching for exotic particles in high-energy physics with deep learning
inferredcites →https://doi.org/10.1038/nphoton.2017.93openalex-snapshot
Deep learning with coherent nanophotonic circuits
inferredcites →https://doi.org/10.1038/nphys3644openalex-snapshot
A structural approach to relaxation in glassy liquids
inferredcites →https://doi.org/10.1038/s41467-019-10086-3openalex-snapshot
Topological analog signal processing
inferredcites →https://doi.org/10.1038/s41467-019-14096-zopenalex-snapshot
Heuristic recurrent algorithms for photonic Ising machines
inferredcites →https://doi.org/10.1038/s41566-020-0591-3openalex-snapshot
Flat optics for image differentiation
inferredcites →https://doi.org/10.1038/s41578-020-00243-2openalex-snapshot
Analogue computing with metamaterials
inferredcites →https://doi.org/10.1038/s41586-019-1119-1openalex-snapshot
Speech synthesis from neural decoding of spoken sentences
inferredcites →https://doi.org/10.1038/s41598-017-07754-zopenalex-snapshot
Neuromorphic photonic networks using silicon photonic weight banks
inferredcites →https://doi.org/10.1038/s41598-018-21941-6openalex-snapshot
Broadband multiresonator quantum memory-interface
inferredcites →https://doi.org/10.1038/s41598-018-30619-yopenalex-snapshot
Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification
inferredcites →https://doi.org/10.1038/srep33253openalex-snapshot
Non-Hermitian engineering of single mode two dimensional laser arrays
inferredcites →https://doi.org/10.1088/1367-2630/14/11/115026openalex-snapshot
Acoustic whispering-gallery modes in optomechanical shells
inferredcites →https://doi.org/10.1103/physreva.97.063836openalex-snapshot
Nonlinear coupled-mode-theory framework for graphene-induced saturable absorption in nanophotonic resonant structures
inferredcites →https://doi.org/10.1103/physrevapplied.11.034043openalex-snapshot
Generalized Spatial Differentiation from the Spin Hall Effect of Light and Its Application in Image Processing of Edge Detection
inferredcites →https://doi.org/10.1103/physrevb.94.195105openalex-snapshot
Discovering phase transitions with unsupervised learning
inferredcites →https://doi.org/10.1103/physrevlett.125.093901openalex-snapshot
Theory of Neuromorphic Computing by Waves: Machine Learning by Rogue Waves, Dispersive Shocks, and Solitons
inferredcites →https://doi.org/10.1109/72.279181openalex-snapshot
Learning long-term dependencies with gradient descent is difficult
inferredcites →https://doi.org/10.1109/jqe.2004.834773openalex-snapshot
Temporal coupled-mode theory and the presence of non-orthogonal modes in lossless multimode cavities
inferredcites →https://doi.org/10.1109/jstqe.2018.2836985openalex-snapshot
All-Optical Reservoir Computing on a Photonic Chip Using Silicon-Based Ring Resonators
inferredcites →https://doi.org/10.1109/mci.2018.2840738openalex-snapshot
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
inferredcites →https://doi.org/10.1126/sciadv.aar4206openalex-snapshot
Nanophotonic particle simulation and inverse design using artificial neural networks
inferredcites →https://doi.org/10.1126/sciadv.aay6946openalex-snapshot
Wave physics as an analog recurrent neural network
inferredcites →https://doi.org/10.1126/science.1242818openalex-snapshot
Performing Mathematical Operations with Metamaterials
inferredcites →https://doi.org/10.1126/science.aag2302openalex-snapshot
Solving the quantum many-body problem with artificial neural networks
inferredcites →https://doi.org/10.1126/science.aar6404openalex-snapshot
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
inferredcites →https://doi.org/10.1126/science.aat8084openalex-snapshot
All-optical machine learning using diffractive deep neural networks
inferredcites →https://doi.org/10.1142/s0218488598000094openalex-snapshot
The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1207/s15516709cog1402_1openalex-snapshot
Finding Structure in Time
inferredcites →https://doi.org/10.1364/cleo_at.2020.jtu2c.8openalex-snapshot
Photonic Recurrent Neural Networks with Gating Circuit
inferredcites →https://doi.org/10.1364/ol.43.004687openalex-snapshot
Optical dynamic memory based on an integrated active ring resonator
inferredcites →https://doi.org/10.1364/optica.386613openalex-snapshot
Accelerating recurrent Ising machines in photonic integrated circuits
inferredcites →https://doi.org/10.1364/optica.5.000756openalex-snapshot
Reinforcement learning in a large-scale photonic recurrent neural network
inferredcites →https://doi.org/10.1364/prj.7.000823openalex-snapshot
Nanophotonic media for artificial neural inference
inferredcites →https://doi.org/10.1364/prj.8.000046openalex-snapshot
Neuromorphic metasurface

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4805746openalex-extracted
Intelligent Mechanical Metamaterials Toward Learning Static and Dynamic Behaviors
inferred← citeshttps://doi.org/10.1007/s11071-026-12291-4openalex-snapshot
Nonlinear spatiotemporal dynamics in magnetic dipole systems for physical reservoir computing
inferred← citeshttps://doi.org/10.1016/j.ijmecsci.2026.111283openalex-snapshot
Spatially adaptable mechanical neural networks with multi fully connected layers
inferred← citeshttps://doi.org/10.1016/j.matdes.2024.113093openalex-snapshot
Intelligent mechanical metamaterials towards learning static and dynamic behaviors
inferred← citeshttps://doi.org/10.1021/acsomega.3c10362openalex-snapshot
Adjoint-Optimized Large Dielectric Metasurface for Enhanced Purcell Factor and Directional Photon Emission
inferred← citeshttps://doi.org/10.1021/acsphotonics.4c00015openalex-snapshot
Photonic Reservoir Computing System for Pattern Recognition Based on an Array of Four Distributed Feedback Lasers
inferred← citeshttps://doi.org/10.1038/s41467-023-37611-9openalex-snapshot
Heavy tails and pruning in programmable photonic circuits for universal unitaries
inferred← citeshttps://doi.org/10.1088/1361-6595/ae55c6openalex-snapshot
Real-time time-resolved optical diagnostics with LSTM neural network and electrical signals
inferred← citeshttps://doi.org/10.1103/physrevapplied.19.064065openalex-snapshot
Metamaterial-Based Analog Recurrent Neural Network Toward Machine Intelligence
inferred← citeshttps://doi.org/10.1103/physrevapplied.23.034051openalex-snapshot
Training a multilayer dynamical spintronic network with standard machine-learning tools to perform time-series classification
inferred← citeshttps://doi.org/10.1103/physrevlett.132.103801openalex-snapshot
Programmable Photonic Time Circuits for Highly Scalable Universal Unitaries
inferred← citeshttps://doi.org/10.1117/12.3011012openalex-snapshot
Equilibrium learning: inverse design of intelligent mechanical machines for prescribed behavior control
inferred← citeshttps://doi.org/10.1140/epjp/s13360-024-05825-5openalex-snapshot
Predicting quantum evolutions of excitation energy transfer in a light-harvesting complex using multi-optimized recurrent neural networks
inferred← citeshttps://doi.org/10.1145/3793545openalex-snapshot
MERINDA: Model Recovery in FPGA-Based Dynamic Architecture for Edge and Physical AI
inferred← citeshttps://doi.org/10.1515/nanoph-2024-0602openalex-snapshot
Programmable photonic unitary circuits for light computing
inferred← citeshttps://doi.org/10.2478/amns.2023.2.01333openalex-snapshot
Informatization Integration Strategy of Modern Vocal Music Teaching and Traditional Music Culture in Colleges and Universities in the Era of Artificial Intelligence
inferred← citeshttps://doi.org/10.70675/2bb4a111z543cz414fz820bz399226e583c6openalex-snapshot
Convolutional and dynamical spintronic neural networks
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