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2110.14807
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L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization
27 October 2021
Jiaqi Gu
Hanqing Zhu
Chenghao Feng
Zixuan Jiang
Ray T. Chen
David Z. Pan
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Papers citing
"L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization"
17 / 17 papers shown
Title
Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers
Andrei Chertkov
Artem Basharin
Mikhail Saygin
Evgeny Frolov
Stanislav Straupe
Ivan Oseledets
54
0
0
18 Sep 2025
Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness
Ziang Yin
Hongjian Zhou
Chetan Choppali Sudarshan
Vidya Chhabria
Jiaqi Gu
40
0
0
09 Sep 2025
Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning
Zhiwei Yang
Zeyang Fan
Yihang Lai
Qi Chen
Tian Zhang
Jian Dai
Kun Xu
215
0
0
19 May 2025
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks
Yequan Zhao
Xinling Yu
Xian Xiao
Zhe Chen
Ziyue Liu
G. Kurczveil
R. Beausoleil
Shixuan Liu
Zheng Zhang
186
0
0
17 Feb 2025
SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System
Design Automation Conference (DAC), 2024
Ziang Yin
Meng Zhang
Amir Begović
Rena Huang
Jeff Zhang
Jiaqi Gu
227
2
0
20 Nov 2024
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach
Yequan Zhao
Hai Li
Ian Young
Zheng Zhang
MQ
172
3
0
07 Nov 2024
FLOPS: Forward Learning with OPtimal Sampling
Tao Ren
Zishi Zhang
Jinyang Jiang
Guanghao Li
Zeliang Zhang
Mingqian Feng
Yijie Peng
222
1
0
08 Oct 2024
SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution
Ziang Yin
Nicholas Gangi
Meng Zhang
Jeff Zhang
Rena Huang
Jiaqi Gu
115
6
0
07 Jul 2024
Training of Physical Neural Networks
Ali Momeni
Babak Rahmani
B. Scellier
Logan G. Wright
Peter L. McMahon
...
Julie Grollier
Andrea J. Liu
D. Psaltis
Andrea Alù
Romain Fleury
PINN
AI4CE
214
40
0
05 Jun 2024
DOCTOR: Dynamic On-Chip Temporal Variation Remediation Toward Self-Corrected Photonic Tensor Accelerators
Haotian Lu
Sanmitra Banerjee
Jiaqi Gu
176
2
0
05 Mar 2024
Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training
Yequan Zhao
Xianwei Xiao
Xinling Yu
Ziyue Liu
Zhixiong Chen
G. Kurczveil
R. Beausoleil
Zheng Zhang
152
6
0
31 Dec 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
Aochuan Chen
Yimeng Zhang
Jinghan Jia
James Diffenderfer
Jiancheng Liu
Konstantinos Parasyris
Yihua Zhang
Zheng Zhang
B. Kailkhura
Sijia Liu
288
63
0
03 Oct 2023
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks
Yequan Zhao
Xinling Yu
Zhixiong Chen
Ziyue Liu
Sijia Liu
Zheng Zhang
PINN
117
13
0
18 Aug 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
David Z. Pan
Ray T. Chen
115
10
0
31 May 2023
Optical Transformers
Maxwell G. Anderson
Shifan Ma
Tianyu Wang
Logan G. Wright
Peter L. McMahon
79
28
0
20 Feb 2023
Dual adaptive training of photonic neural networks
Ziyang Zheng
Zhengyang Duan
Hang Chen
Rui Yang
Sheng Gao
Haiou Zhang
H. Xiong
Xing Lin
101
48
0
09 Dec 2022
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation
Jiaqi Gu
Zhengqi Gao
Chenghao Feng
Hanqing Zhu
Ray T. Chen
Duane S. Boning
David Z. Pan
126
25
0
19 Sep 2022
1