Automatic Differentiation of Programs with Discrete Randomness G Arya, M Schauer, F Schäfer, C Rackauckas Advances in Neural Information Processing Systems, NeurIPS 2022, 2022 | 48 | 2022 |
End-to-end optimization of metasurfaces for imaging with compressed sensing G Arya, WF Li, C Roques-Carmes, M Soljacic, SG Johnson, Z Lin ACS Photonics 11 (5), 2077-2087, 2024 | 17 | 2024 |
Differentiating Metropolis-Hastings to Optimize Intractable Densities G Arya*, R Seyer*, F Schäfer, K Chandra, AK Lew, M Huot, ... ICML 2023 Workshop on Differentiable Almost Everything: Differentiable …, 2023 | 8 | 2023 |
Transcending shift-invariance in the paraxial regime via end-to-end inverse design of freeform nanophotonics WF Li, G Arya, C Roques-Carmes, Z Lin, SG Johnson, M Soljačić Optics Express 31 (15), 24260-24272, 2023 | 5 | 2023 |
End-to-end metasurface design for temperature imaging via broadband Planck-radiation regression S Fisher, G Arya, A Majumdar, Z Lin, SG Johnson arXiv preprint arXiv:2409.08456, 2024 | | 2024 |
Gradient Estimation via Differentiable Metropolis-Hastings G Arya, M Schauer, R Seyer arXiv preprint arXiv:2406.14451, 2024 | | 2024 |
Automatic Bayesian Inference of Reaction Networks via Guiding G Arya Massachusetts Institute of Technology, 2024 | | 2024 |
Derivatives of Random Functions G Arya | | 2023 |
End-to-end Nanophotonics Inverse Design for Computational Imaging Z Lin, G Arya, WF Li, C Roques-Carmes, R Pestourie, Z Li, F Capasso, ... CLEO: QELS_Fundamental Science, JW5Q. 1, 2022 | | 2022 |
Angular and Spectral Sparse Sensing With End-to-End Optimized Nanophotonics WF Li, G Arya, C Roques-Carmes, Z Lin, SG Johnson, M Soljačić CLEO: QELS_Fundamental Science, JW5Q. 2, 2022 | | 2022 |