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Data-Driven Dynamics

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.

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.
Telemetry is a Sensor: Opportunistic Wavefront Estimation for the James Webb Space Telescope
ICCP 2026 Buzi et al.
Effective Resistivity in Relativistic Reconnection: A Prescription Based on Fully Kinetic Simulations
The Astrophysical Journal Letters 2025 Moran et al.
Inference of Black Hole Fluid-Dynamics from Sparse Interferometric Measurements
Proc. IEEE/CVF ICCV 2021 Levis et al.
Statistical Tomography of Microscopic Life
Proc. IEEE CVPR 2018 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
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