{"total":65,"rows":[{"id":"2406.03372","title":"Training of Physical Neural Networks","created":"2024-06-05","cited_by_count":49,"area":null},{"id":"2104.13467","title":"An optical neural network using less than 1 photon per multiplication","created":"2021-04-27","cited_by_count":30,"area":null},{"id":"2207.14293","title":"Image sensing with multilayer, nonlinear optical neural networks","created":"2022-07-27","cited_by_count":25,"area":null},{"id":"2307.08533","title":"Nonlinear Processing with Linear Optics","created":"2023-07-17","cited_by_count":20,"area":null},{"id":"2305.19170","title":"Forward-Forward Training of an Optical Neural Network","created":"2023-05-30","cited_by_count":19,"area":null},{"id":"2203.11207","title":"Hybrid training of optical neural networks","created":"2022-03-20","cited_by_count":15,"area":null},{"id":"2111.06705","title":"A compact butterfly-style silicon photonic-electronic neural chip for hardware-efficient deep learning","created":"2021-11-11","cited_by_count":13,"area":null},{"id":"2212.02025","title":"Unidirectional Imaging using Deep Learning-Designed Materials","created":"2022-12-05","cited_by_count":13,"area":null},{"id":"2205.09103","title":"Single-Shot Optical Neural Network","created":"2022-05-18","cited_by_count":12,"area":null},{"id":"2308.03407","title":"Spatially Varying Nanophotonic Neural Networks","created":"2023-08-07","cited_by_count":12,"area":null},{"id":"2203.13482","title":"Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network","created":"2022-03-25","cited_by_count":10,"area":null},{"id":"2302.10360","title":"Optical Transformers","created":"2023-02-20","cited_by_count":10,"area":null},{"id":"2212.06141","title":"Dual adaptive training of photonic neural networks","created":"2022-12-09","cited_by_count":9,"area":null},{"id":"2303.03986","title":"Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation","created":"2023-03-05","cited_by_count":8,"area":null},{"id":"2307.15712","title":"Quantum-limited stochastic optical neural networks operating at a few quanta per activation","created":"2023-07-28","cited_by_count":8,"area":null},{"id":"2410.17970","title":"Optical Generative Models","created":"2024-10-23","cited_by_count":8,"area":null},{"id":"2308.05226","title":"Training neural networks with end-to-end optical backpropagation","created":"2023-08-09","cited_by_count":7,"area":null},{"id":"2204.10978","title":"All-optical graph representation learning using integrated diffractive photonic computing units","created":"2022-04-23","cited_by_count":6,"area":null},{"id":"2406.06534","title":"Compressed Meta-Optical Encoder for Image Classification","created":"2024-04-23","cited_by_count":6,"area":null},{"id":"2108.07977","title":"Classification and reconstruction of spatially overlapping phase images using diffractive optical networks","created":"2021-08-18","cited_by_count":5,"area":null},{"id":"2203.07516","title":"Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance","created":"2022-03-14","cited_by_count":5,"area":null},{"id":"2207.05278","title":"Photonic Reconfigurable Accelerators for Efficient Inference of CNNs with Mixed-Sized Tensors","created":"2022-07-12","cited_by_count":5,"area":null},{"id":"2208.03968","title":"All-optical image classification through unknown random diffusers using a single-pixel diffractive network","created":"2022-08-08","cited_by_count":5,"area":null},{"id":"2209.14252","title":"Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks","created":"2022-09-28","cited_by_count":5,"area":null},{"id":"2212.00022","title":"Optical multi-task learning using multi-wavelength diffractive deep neural networks","created":"2022-11-30","cited_by_count":5,"area":null},{"id":"2305.19505","title":"M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference","created":"2023-05-31","cited_by_count":5,"area":null},{"id":"2208.10802","title":"Time-lapse image classification using a diffractive neural network","created":"2022-08-23","cited_by_count":4,"area":null},{"id":"2302.07036","title":"SCONNA: A Stochastic Computing Based Optical Accelerator for Ultra-Fast, Energy-Efficient Inference of Integer-Quantized CNNs","created":"2023-02-14","cited_by_count":4,"area":null},{"id":"2407.10897","title":"Optical Diffusion Models for Image Generation","created":"2024-07-15","cited_by_count":4,"area":"diffusion"},{"id":"2405.18458","title":"Asymmetrical estimator for training encapsulated deep photonic neural networks","created":"2024-05-28","cited_by_count":3,"area":null},{"id":"2210.10048","title":"AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks","created":"2022-10-14","cited_by_count":2,"area":null},{"id":"2301.10167","title":"EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units","created":"2022-12-09","cited_by_count":2,"area":null},{"id":"2402.02397","title":"Multiplexed all-optical permutation operations using a reconfigurable diffractive optical network","created":"2024-02-04","cited_by_count":2,"area":null},{"id":"2406.19126","title":"Super-resolution imaging using super-oscillatory diffractive neural networks","created":"2024-06-27","cited_by_count":2,"area":null},{"id":"2508.08421","title":"Neural Tangent Knowledge Distillation for Optical Convolutional Networks","created":"2025-08-11","cited_by_count":2,"area":"distill"},{"id":"2107.11156","title":"Training a neural network with exciton-polariton optical nonlinearity","created":"2021-07-23","cited_by_count":1,"area":null},{"id":"2112.12297","title":"High Throughput Multi-Channel Parallelized Diffraction Convolutional Neural Network Accelerator","created":"2021-12-23","cited_by_count":1,"area":null},{"id":"2304.01500","title":"Physics-aware Roughness Optimization for Diffractive Optical Neural Networks","created":"2023-04-04","cited_by_count":1,"area":null},{"id":"2307.11957","title":"High-performance real-world optical computing trained by in situ gradient-based model-free optimization","created":"2023-07-22","cited_by_count":1,"area":null},{"id":"2406.10688","title":"Integration of Programmable Diffraction with Digital Neural Networks","created":"2024-06-15","cited_by_count":1,"area":null},{"id":"2408.05629","title":"Quantum-secure multiparty deep learning","created":"2024-08-10","cited_by_count":1,"area":null},{"id":"2408.06681","title":"Coherence Awareness in Diffractive Neural Networks","created":"2024-08-13","cited_by_count":1,"area":null},{"id":"2412.12126","title":"Seamless Optical Cloud Computing across Edge-Metro Network for Generative AI","created":"2024-12-04","cited_by_count":1,"area":null},{"id":"2107.14051","title":"Improvement of image classification by multiple optical scattering","created":"2021-07-12","cited_by_count":0,"area":null},{"id":"2204.13991","title":"Physical Deep Learning with Biologically Plausible Training Method","created":"2022-04-01","cited_by_count":0,"area":null},{"id":"2210.04745","title":"Low-power multi-mode fiber projector overcomes shallow neural networks classifiers","created":"2022-10-10","cited_by_count":0,"area":null},{"id":"2210.08004","title":"Misaligned orientations of 4f optical neural network for image classification accuracy on various datasets","created":"2022-10-05","cited_by_count":0,"area":null},{"id":"2212.09975","title":"Sophisticated deep learning with on-chip optical diffractive tensor processing","created":"2022-12-20","cited_by_count":0,"area":null},{"id":"2212.11278","title":"Decision-making and control with diffractive optical networks","created":"2022-12-21","cited_by_count":0,"area":null},{"id":"2302.10905","title":"Scientific Computing with Diffractive Optical Neural Networks","created":"2023-02-12","cited_by_count":0,"area":null},{"id":"2306.07365","title":"Intelligent Multi-channel Meta-imagers for Accelerating Machine Vision","created":"2023-06-12","cited_by_count":0,"area":null},{"id":"2310.11014","title":"Hyperspectral In-Memory Computing with Optical Frequency Combs and Programmable Optical Memories","created":"2023-10-17","cited_by_count":0,"area":null},{"id":"2404.07443","title":"1-bit Quantized On-chip Hybrid Diffraction Neural Network Enabled by Authentic All-optical Fully-connected Architecture","created":"2024-04-11","cited_by_count":0,"area":null},{"id":"2409.18614","title":"Metasurface-generated large and arbitrary analog convolution kernels for accelerated machine vision","created":"2024-09-27","cited_by_count":0,"area":null},{"id":"2503.14260","title":"Automating Experimental Optics with Sample Efficient Machine Learning Methods","created":"2025-03-18","cited_by_count":0,"area":null},{"id":"2505.11659","title":"Programmable metasurfaces for future photonic artificial intelligence","created":"2025-05-16","cited_by_count":0,"area":null},{"id":"2506.12210","title":"Machine Intelligence on Wireless Edge Networks","created":"2025-06-13","cited_by_count":0,"area":null},{"id":"2509.05926","title":"Meta-training of diffractive meta-neural networks for super-resolution direction of arrival estimation","created":"2025-09-07","cited_by_count":0,"area":null},{"id":"2509.23611","title":"Spatially Parallel All-optical Neural Networks","created":"2025-09-28","cited_by_count":0,"area":null},{"id":"2601.04825","title":"Illumination Angular Spectrum Encoding for Controlling the Functionality of Diffractive Networks","created":"2026-01-08","cited_by_count":0,"area":null},{"id":"2602.07717","title":"All-Optical Segmentation via Diffractive Neural Networks for Autonomous Driving","created":"2026-02-07","cited_by_count":0,"area":null},{"id":"2603.00995","title":"3D aperture-engineered diffractive neural networks for super-resolution electromagnetic wave computing","created":"2026-03-01","cited_by_count":0,"area":null},{"id":"2605.07810","title":"Pre-training Enables Extraordinary All-optical Image Denoising","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2606.25277","title":"An Integrated Hardware-Software Design for Low-Data Spatial Defect Detection in Robotic Visual Inspection with Hybrid Optoelectronic Neural Networks","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2607.08360","title":"Inverse-designed meta processing units for multi-task near-field photonic computing","created":"2026-07-09","cited_by_count":0,"area":null}],"next_cursor":null}