Bridging Physics-based and Data-driven modeling for Learning Dynamical
Systems

Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems

20 November 2020

Danielle C. Maddix

Christos Faloutsos

Papers citing "Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems"

10 / 10 papers shown

Title
Optimizing Hard Thresholding for Sparse Model Discovery Derek W. Jollie Scott G. McCalla 41 0 0 28 Apr 2025
Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors Marco Knipfer S. Meier J. Heimerl P. Hommelhoff S. Gleyzer 21 3 0 13 Jun 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning S Chandra Mouli M. A. Alam Bruno Ribeiro OOD 29 4 0 06 Mar 2023
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan Ö. Arik Rose Yu AI4TS 33 22 0 07 Oct 2022
Data-Centric Epidemic Forecasting: A Survey Alexander Rodríguez Harshavardhan Kamarthi Pulak Agarwal Javen Ho Mira Patel Suchet Sapre B. Prakash OOD 29 18 0 19 Jul 2022
Learning continuous models for continuous physics Aditi S. Krishnapriyan A. Queiruga N. Benjamin Erichson Michael W. Mahoney AI4CE 24 33 0 17 Feb 2022
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics Ke Alexander Wang Danielle C. Maddix Yuyang Wang AI4CE 28 1 0 18 Dec 2021
Modeling the effect of the vaccination campaign on the Covid-19 pandemic M. Angeli Georgios Neofotistos M. Mattheakis E. Kaxiras 22 37 0 27 Aug 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 39 64 0 02 Jul 2021
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 25 176 0 21 Apr 2020