Saved in:
| Main Authors: | Zhang, Jiahao, Zhang, Lu, Pang, Xiaodan, Ozolins, Oskars, Zhang, Qun, Yu, Xianbin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.02165 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Integrated electro-optic attention nonlinearities for transformers
by: Mickeler, Luis, et al.
Published: (2026)
by: Mickeler, Luis, et al.
Published: (2026)
Decision-making and control with diffractive optical networks
by: Qiu, Jumin, et al.
Published: (2022)
by: Qiu, Jumin, et al.
Published: (2022)
Gradients of unitary optical neural networks using parameter-shift rule
by: Jiang, Jinzhe, et al.
Published: (2025)
by: Jiang, Jinzhe, et al.
Published: (2025)
Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning
by: Yang, Zhiwei, et al.
Published: (2025)
by: Yang, Zhiwei, et al.
Published: (2025)
Active Convolved Illumination with Deep Transfer Learning for Complex Beam Transmission through Atmospheric Turbulence
by: Moazzam, Adrian A., et al.
Published: (2025)
by: Moazzam, Adrian A., et al.
Published: (2025)
Spatially Parallel All-optical Neural Networks
by: Qin, Jianwei, et al.
Published: (2025)
by: Qin, Jianwei, et al.
Published: (2025)
1-bit Quantized On-chip Hybrid Diffraction Neural Network Enabled by Authentic All-optical Fully-connected Architecture
by: Shao, Yu, et al.
Published: (2024)
by: Shao, Yu, et al.
Published: (2024)
Compute-first optical detection for noise-resilient visual perception
by: Kim, Jungmin, et al.
Published: (2024)
by: Kim, Jungmin, et al.
Published: (2024)
Training neural networks with end-to-end optical backpropagation
by: Spall, James, et al.
Published: (2023)
by: Spall, James, et al.
Published: (2023)
Modeling and benchmarking quantum optical neurons for efficient neural computation
by: Andrisani, Andrea, et al.
Published: (2025)
by: Andrisani, Andrea, et al.
Published: (2025)
Artificial intelligence inspired freeform optics design: a review
by: Feng, Lei, et al.
Published: (2024)
by: Feng, Lei, et al.
Published: (2024)
Optimized Relay Lens Design For High-Resolution Image Transmission In Military Target Detection Systems
by: Celik, Burak, et al.
Published: (2025)
by: Celik, Burak, et al.
Published: (2025)
Limits of nonlinear and dispersive fiber propagation for an optical fiber-based extreme learning machine
by: Ermolaev, Andrei V., et al.
Published: (2025)
by: Ermolaev, Andrei V., et al.
Published: (2025)
Cross-Dataset Generalization in Deep Learning
by: Zhang, Xuyu, et al.
Published: (2024)
by: Zhang, Xuyu, et al.
Published: (2024)
Neural Adjoint Method for Meta-optics: Accelerating Volumetric Inverse Design via Fourier Neural Operators
by: Kang, Chanik, et al.
Published: (2026)
by: Kang, Chanik, et al.
Published: (2026)
Optical Echo State Network Reservoir Computing
by: Kaushik, Ishwar S, et al.
Published: (2025)
by: Kaushik, Ishwar S, et al.
Published: (2025)
PIDT: Physics-Informed Digital Twin for Optical Fiber Parameter Estimation
by: Jiang, Zicong, et al.
Published: (2026)
by: Jiang, Zicong, et al.
Published: (2026)
Unconventional Computing based on Four Wave Mixing in Highly Nonlinear Waveguides
by: Sozos, Kostas, et al.
Published: (2024)
by: Sozos, Kostas, et al.
Published: (2024)
Programmable Photonic Unitary Processor Enables Parametrized Differentiable Long-Haul Spatial Division Multiplexed Transmission
by: Nakajima, Mitsumasa, et al.
Published: (2025)
by: Nakajima, Mitsumasa, et al.
Published: (2025)
Leveraging machine learning features for linear optical interferometer control
by: Kuzmin, Sergei S., et al.
Published: (2025)
by: Kuzmin, Sergei S., et al.
Published: (2025)
Application of RESNET50 Convolution Neural Network for the Extraction of Optical Parameters in Scattering Media
by: Deng, Bowen, et al.
Published: (2024)
by: Deng, Bowen, et al.
Published: (2024)
Learning Electromagnetic Metamaterial Physics With ChatGPT
by: Lu, Darui, et al.
Published: (2024)
by: Lu, Darui, et al.
Published: (2024)
Programmable k-local Ising Machines and all-optical Kolmogorov-Arnold Networks on Photonic Platforms
by: Stroev, Nikita, et al.
Published: (2025)
by: Stroev, Nikita, et al.
Published: (2025)
Towards Neural-Network-based optical temperature sensing of Semiconductor Membrane External Cavity Laser
by: Mannstadt, Jakob, et al.
Published: (2024)
by: Mannstadt, Jakob, et al.
Published: (2024)
The Spatial Complexity of Optical Computing and How to Reduce It
by: Li, Yandong, et al.
Published: (2024)
by: Li, Yandong, et al.
Published: (2024)
Nonlinear Computation with Linear Optics via Source-Position Encoding
by: Richardson, N., et al.
Published: (2025)
by: Richardson, N., et al.
Published: (2025)
Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training
by: Zhao, Yequan, et al.
Published: (2025)
by: Zhao, Yequan, et al.
Published: (2025)
Thermal Crosstalk Modelling and Compensation Methods for Programmable Photonic Integrated Circuits
by: Teofilovic, Isidora, et al.
Published: (2024)
by: Teofilovic, Isidora, et al.
Published: (2024)
SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training
by: Ma, Pingchuan, et al.
Published: (2025)
by: Ma, Pingchuan, et al.
Published: (2025)
Financial Fraud Detection with Entropy Computing
by: Emami, Babak, et al.
Published: (2025)
by: Emami, Babak, et al.
Published: (2025)
Integrated quantum communication network and vibration sensing in optical fibers
by: Liu, Shuaishuai, et al.
Published: (2024)
by: Liu, Shuaishuai, et al.
Published: (2024)
Bayesian Optimization and Convolutional Neural Networks for Zernike-Based Wavefront Correction in High Harmonic Generation
by: Fernandes, Guilherme Grancho D., et al.
Published: (2025)
by: Fernandes, Guilherme Grancho D., et al.
Published: (2025)
Imaging with super-resolution in changing random media
by: Christie, Alexander, et al.
Published: (2025)
by: Christie, Alexander, et al.
Published: (2025)
Inverse Design of Metamaterials with Manufacturing-Guiding Spectrum-to-Structure Conditional Diffusion Model
by: Li, Jiawen, et al.
Published: (2025)
by: Li, Jiawen, et al.
Published: (2025)
Optical diffraction neural networks assisted computational ghost imaging through dynamic scattering media
by: Li, Yue-Gang, et al.
Published: (2025)
by: Li, Yue-Gang, et al.
Published: (2025)
Inferring geometry and material properties from Mueller matrices with machine learning
by: Doorenbos, Lars, et al.
Published: (2025)
by: Doorenbos, Lars, et al.
Published: (2025)
Machine Learning-Driven Compensation for Non-Ideal Channels in AWG-Based FBG Interrogator
by: Kazakov, Ivan A., et al.
Published: (2025)
by: Kazakov, Ivan A., et al.
Published: (2025)
Conditional Normalizing Flow Surrogate for Monte Carlo Prediction of Radiative Properties in Nanoparticle-Embedded Layers
by: Seyedheydari, Fahime, et al.
Published: (2025)
by: Seyedheydari, Fahime, et al.
Published: (2025)
Optical Physics-Based Generative Models
by: Ahmadnejad, Amirreza, et al.
Published: (2025)
by: Ahmadnejad, Amirreza, et al.
Published: (2025)
Comparison between neural network clustering, hierarchical clustering and k-means clustering: Applications using fluidic lenses
by: Puentes, Graciana
Published: (2025)
by: Puentes, Graciana
Published: (2025)
Similar Items
-
Integrated electro-optic attention nonlinearities for transformers
by: Mickeler, Luis, et al.
Published: (2026) -
Decision-making and control with diffractive optical networks
by: Qiu, Jumin, et al.
Published: (2022) -
Gradients of unitary optical neural networks using parameter-shift rule
by: Jiang, Jinzhe, et al.
Published: (2025) -
Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning
by: Yang, Zhiwei, et al.
Published: (2025) -
Active Convolved Illumination with Deep Transfer Learning for Complex Beam Transmission through Atmospheric Turbulence
by: Moazzam, Adrian A., et al.
Published: (2025)