Light–matter coupling in large-area van der Waals superlattices P Kumar, J Lynch, B Song, H Ling, F Barrera, K Kisslinger, H Zhang, ... Nature nanotechnology 17 (2), 182-189, 2022 | 93 | 2022 |
All-optical image denoising using a diffractive visual processor Ç Işıl, T Gan, FO Ardic, K Mentesoglu, J Digani, H Karaca, H Chen, J Li, ... Light: Science & Applications 13 (1), 43, 2024 | 19 | 2024 |
MLX: Efficient and flexible machine learning on Apple silicon A Hannun, J Digani, A Katharopoulos, R Collobert MLX: Efficient and flexible machine learning on apple silicon, 2023 | 14 | 2023 |
Framework for expediting discovery of optimal solutions with blackbox algorithms in non-topology photonic inverse design J Digani, PWC Hon, AR Davoyan ACS Photonics 9 (2), 432-442, 2022 | 12 | 2022 |
Theory, analysis, and best practices for sigmoid self-attention J Ramapuram, F Danieli, E Dhekane, F Weers, D Busbridge, P Ablin, ... arXiv preprint arXiv:2409.04431, 2024 | 9 | 2024 |
MLX: Efficient and flexible machine learning on apple silicon, 2023 A Hannun, J Digani, A Katharopoulos, R Collobert URL https://github. com/ml-explore, 0 | 5 | |
Light-Matter Coupling in Scalable Van der Waals Superlattices P Kumar, J Lynch, B Song, H Ling, F Barrera, H Zhang, SB Anantharaman, ... arXiv preprint arXiv:2103.14028, 2021 | 1 | 2021 |
Diffractive processors enable all-optical image denoising C Isil, T Gan, FO Ardic, K Mentesoglu, J Digani, H Karaca, H Chen, J Li, ... Emerging Topics in Artificial Intelligence (ETAI) 2024, PC131180T, 2024 | | 2024 |
Image denoising using diffractive optical processors Ç Isil, T Gan, FO Ardic, K Mentesoglu, J Digani, H Karaca, H Chen, J Li, ... CLEO: Fundamental Science, CLEO: FS 2024 in Proceedings CLEO 2024-Part of …, 2024 | | 2024 |
Image denoising using diffractive optical processors Ç Işıl, T Gan, FO Ardic, K Mentesoglu, J Digani, H Karaca, H Chen, J Li, ... CLEO: Fundamental Science, FTu3G. 2, 2024 | | 2024 |
A Framework for Discovering Optimal Solutions in Photonic Inverse Design J Digani, P Hon, AR Davoyan arXiv preprint arXiv:2106.08419, 2021 | | 2021 |