Multi-scale Time-stepping of Partial Differential Equations with Transformers

3 November 2023

Papers citing "Multi-scale Time-stepping of Partial Differential Equations with Transformers"

6 / 6 papers shown

Title
Flexible SE(2) graph neural networks with applications to PDE surrogates Maria Bånkestad Olof Mogren Aleksis Pirinen 34 1 0 30 May 2024
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers Steeven Janny Aurélien Béneteau Madiha Nadri Wolf Julie Digne Nicolas Thome Christian Wolf AI4CE 71 32 0 16 Feb 2023
Towards Multi-spatiotemporal-scale Generalized PDE Modeling Jayesh K. Gupta Johannes Brandstetter AI4CE 53 117 0 30 Sep 2022
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 115 198 0 28 Sep 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 197 2,254 0 18 Oct 2020
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 246 1,982 0 28 Jul 2020