| Tensor-compressed back-propagation-free training for (physics-informed) neural networks Y Zhao, X Yu, Z Chen, Z Liu, S Liu, Z Zhang arXiv preprint arXiv:2308.09858, 2023 | 11 | 2023 |
| Separable operator networks X Yu, S Hooten, Z Liu, Y Zhao, M Fiorentino, T Van Vaerenbergh, Z Zhang arXiv preprint arXiv:2407.11253, 2024 | 3 | 2024 |
| Tensorized optical multimodal fusion network Y Zhao, X Xiao, G Kurczveil, RG Beausoleil, Z Zhang 2023 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2023 | 3 | 2023 |
| Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach Y Zhao, H Li, I Young, Z Zhang arXiv preprint arXiv:2411.05873, 2024 | 1 | 2024 |
| Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training Y Zhao, X Xiao, X Yu, Z Liu, Z Chen, G Kurczveil, RG Beausoleil, Z Zhang arXiv preprint arXiv:2401.00413, 2023 | 1 | 2023 |
| SepONet: Efficient Large-Scale Physics-Informed Operator Learning X Yu, S Hooten, Z Liu, Y Zhao, M Fiorentino, T Van Vaerenbergh, Z Zhang NeurIPS 2024 Workshop on Data-driven and Differentiable Simulations …, 0 | 1 | |
| Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training Y Zhao, X Xiao, A Descos, Y Yuan, X Yu, G Kurczveil, M Fiorentino, ... arXiv preprint arXiv:2501.00742, 2025 | | 2025 |
