CONFIDE: Contextual Finite Difference Modelling of PDEs

Author:

Linial Ori1ORCID,Avner Orly2ORCID,Di Castro Dotan2ORCID

Affiliation:

1. Technion - Israel Institute of Technology, Haifa, Israel

2. Bosch Center for Artificial Inteligence, Haifa, Israel

Publisher

ACM

Reference48 articles.

1. Christian Aarset, Martin Holler, and Tram Thi Ngoc Nguyen. 2022. Learning-informed parameter identification in nonlinear time-dependent PDEs. arXiv preprint arXiv:2202.10915 (2022).

2. Germán Abrevaya, Mahta Ramezanian-Panahi, Jean-Christophe Gagnon-Audet, Irina Rish, Pablo Polosecki, Silvina Ponce Dawson, Guillermo Cecchi, and Guillaume Dumas. 2023. GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models. arXiv preprint arXiv:2307.05735 (2023).

3. SOME RECENT RESEARCHES ON THE MOTION OF FLUIDS

4. Johannes Brandstetter, Daniel Worrall, and Max Welling. 2022. Message passing neural PDE solvers. arXiv preprint arXiv:2202.03376 (2022).

5. Discovering governing equations from data by sparse identification of nonlinear dynamical systems

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