Deep physical neural networks trained with backpropagation

Reality-Assisted Evolution of Soft Robots through Large-Scale Physical Experimentation: A Review

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Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing Its Gradient Estimator Bias

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Physical Deep Learning Based on Optimal Control of Dynamical Systems

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Noise-Resilient DNN: Tolerating Noise in PCM-Based AI Accelerators via Noise-Aware Training

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Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices

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Fully On-Chip MAC at 14 nm Enabled by Accurate Row-Wise Programming of PCM-Based Weights and Parallel Vector-Transport in Duration-Format

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Classification with a disordered dopant-atom network in silicon

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Ultrafast machine vision with 2D material neural network image sensors

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Neural Sensors: Learning Pixel Exposures for HDR Imaging and Video Compressive Sensing With Programmable Sensors

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Supervised learning through physical changes in a mechanical system

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Theoretical issues in deep networks

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A deep-learning approach to realizing functionality in nanoelectronic devices

(2020) Hans-Christian Ruiz Euler et al.   Nature Nanotechnology

Inference in artificial intelligence with deep optics and photonics

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A Differentiable Physics Engine for Deep Learning in Robotics

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Recent advances in physical reservoir computing: A review

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Memristive crossbar arrays for brain-inspired computing

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Optical complex media as universal reconfigurable linear operators

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Wave physics as an analog recurrent neural network

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Reinforcement learning in a large-scale photonic recurrent neural network

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Nanophotonic particle simulation and inverse design using artificial neural networks

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All-optical machine learning using diffractive deep neural networks

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Vowel recognition with four coupled spin-torque nano-oscillators

(2018) Miguel Romera et al.   NATURE

Inverse design in nanophotonics

(2018) Sean Molesky et al.   Nature Photonics

Why Does Deep and Cheap Learning Work So Well?

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Deep learning with coherent nanophotonic circuits

(2017) Yichen Shen et al.   Nature Photonics

Programmable controlled mode-locked fiber laser using a digital micromirror device

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Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation

(2017) Benjamin Scellier et al.   Frontiers in Computational Neuroscience

Random synaptic feedback weights support error backpropagation for deep learning

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Training and operation of an integrated neuromorphic network based on metal-oxide memristors

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Memristor Bridge Synapse-Based Neural Network and Its Learning

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