Nature 2026 Foschi, Zhao et al.
Focused publications
Learning dynamical systems and temporal evolution directly from sparse, noisy, or indirect data using models that capture multi-scale physical processes and underlying latent structure.
| 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 |
| Aug 2026 | Telemetry is a Sensor: Opportunistic Wavefront Estimation for the James Webb Space Telescope Lahav Buzi, Yoav Y. Schechner, Aviad Levis, Jason J. Wang | Buzi et al. | ICCP |
| Jan 2025 | Effective Resistivity in Relativistic Reconnection: A Prescription Based on Fully Kinetic Simulations Abigail Moran, Lorenzo Sironi, Aviad Levis, Bart Ripperda, Elias R. Most, Sebastiaan Selvi | Moran et al. | The Astrophysical Journal Letters |
| Oct 2021 | Inference of Black Hole Fluid-Dynamics from Sparse Interferometric Measurements Aviad Levis, Daeyoung Lee, Joel A. Tropp, Charles F. Gammie, Katherine L. Bouman | Levis et al. | Proc. IEEE/CVF ICCV |
| 2018 | Statistical Tomography of Microscopic Life Aviad Levis, Yoav Y. Schechner, Ronen Talmon | Levis et al. | Proc. IEEE CVPR |