Learning cardiac activation and repolarization times with operator learning

13 May 2025

Papers citing "Learning cardiac activation and repolarization times with operator learning"

6 / 6 papers shown

Title
Kernel Methods are Competitive for Operator Learning Pau Batlle Matthieu Darcy Bamdad Hosseini H. Owhadi 77 40 0 26 Apr 2023
lifex: a flexible, high performance library for the numerical solution of complex finite element problems P. C. Africa 44 63 0 29 Jul 2022
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 516 2,456 0 18 Oct 2020
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 248 2,162 0 08 Oct 2019
Kernel Flows: from learning kernels from data into the abyss H. Owhadi G. Yoo 88 90 0 13 Aug 2018
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 355 18,661 0 06 Feb 2015