arXiv 2025 Levis, Luong et al.
Focused publications
Neural representations offer a powerful way to model high-dimensional continuous fields. We develop neural representations, with physics-guided inductive biases, for reconstructing the stucture and dynamics of physical fields and instrument behavior from sparse or indirect observations.
| Date | Title | First Authors | Venue |
|---|---|---|---|
| Sep 2025 | Revealing Fine Structure in Protoplanetary Disks with Physics Constrained Neural Fields Aviad Levis, Nhan Luong, Richard Teague, Katherine Bouman, Marcelo Barraza-Alfaro, Kevin Flaherty | Levis, Luong et al. | arXiv |
| Jul 2025 | Neural Dynamic Modes: Computational Imaging of Dynamical Systems from Sparse Observations Ali SaraerToosi, Renbo Tu, Kamyar Azizzadenesheli, Aviad Levis | SaraerToosi, Tu et al. | arXiv |
| Apr 2025 | 3D Volumetric Tomography of Clouds Using Machine Learning for Climate Analysis Roi Ronen, Ilan Koren, Aviad Levis, Eshkol Eytan, Vadim Holodovsky, Yoav Y. Schechner | Ronen et al. | Scientific Reports |
| Apr 2025 | Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine L. Bouman | Zhao, Levis et al. | ICLR |
| Jun 2024 | Orbital Polarimetric Tomography of a Flare Near the Sagittarius A* Supermassive Black Hole Aviad Levis, Andrew A. Chael, Katherine L. Bouman, Maciek Wielgus, Pratul P. Srinivasan | Levis et al. | Nature Astronomy |
| June 2024 | Single View Refractive Index Tomography with Neural Fields Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine L. Bouman | Zhao, Levis et al. | Proc. IEEE/CVF CVPR |
| Mar 2022 | Gravitationally Lensed Black Hole Emission Tomography Aviad Levis, Pratul P. Srinivasan, Andrew A. Chael, Ren Ng, Katherine L. Bouman | Levis et al. | CVPR |