Neural Reconstruction

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.

Video reconstruction of variable VLBI observations with neural fields

Nature 2026 Foschi, Zhao et al.

NeuralDMD: Interpretable Neural Representation of Dynamics from Sparse and Noisy Measurements

ECCV 2026 SaraerToosi, Tu et al.

BHCast: Unlocking Black Hole Plasma Dynamics from a Single Blurry Image with Long-Term Forecasting

CVPR 2026 Tu et al.

Dynamic Black-hole Emission Tomography with Physics-informed Neural Fields

CVPR 2026 Feng et al.

Revealing Fine Structure in Protoplanetary Disks with Physics Constrained Neural Fields

arXiv 2025 Levis, Luong et al.

3D Volumetric Tomography of Clouds Using Machine Learning for Climate Analysis

Scientific Reports 2025 Ronen et al.

Show older publications (4 more)

Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields

ICLR 2025 Zhao, Levis et al.

Orbital Polarimetric Tomography of a Flare Near the Sagittarius A* Supermassive Black Hole

Nature Astronomy 2024 Levis et al.

Single View Refractive Index Tomography with Neural Fields

Proc. IEEE/CVF CVPR 2024 Zhao, Levis et al.

Gravitationally Lensed Black Hole Emission Tomography

CVPR 2022 Levis et al.

Date	Title	First Authors	Venue
Aug 2026	Video reconstruction of variable VLBI observations with neural fields Marianna Foschi, Brandon Zhao, Antonio Fuentes, Katherine L. Bouman, José L. Gómez, Aviad Levis	Foschi, Zhao et al.	Nature
Sep 2026	NeuralDMD: Interpretable Neural Representation of Dynamics from Sparse and Noisy Measurements Ali SaraerToosi, Renbo Tu, Esther Y.H. Lin, Kamyar Azizzadenesheli, Aviad Levis	SaraerToosi, Tu et al.	ECCV
Jun 2026	BHCast: Unlocking Black Hole Plasma Dynamics from a Single Blurry Image with Long-Term Forecasting Renbo Tu, Ali SaraerToosi, Nicholas S. Conroy, Gennady Pekhimenko, Aviad Levis	Tu et al.	CVPR
Jun 2026	Dynamic Black-hole Emission Tomography with Physics-informed Neural Fields Berthy T. Feng, Andrew A. Chael, David Bromley, Aviad Levis, William T. Freeman, Katherine L. Bouman	Feng et al.	CVPR
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
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