Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling

12 October 2022

Papers citing "Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling"

7 / 7 papers shown

Title
Physics-Driven AI Correction in Laser Absorption Sensing Quantification Ruiyuan Kang P. Liatsis Meixia Geng Qingjie Yang 45 0 0 20 Aug 2024
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation Ruiyuan Kang Tingting Mu P. Liatsis D. Kyritsis 29 2 0 25 Sep 2023
EEE, Remediating the failure of machine learning models via a network-based optimization patch Ruiyuan Kang D. Kyritsis P. Liatsis 26 0 0 22 Apr 2023
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design Zijiang Yang Dipendra Jha Arindam Paul W. Liao A. Choudhary Ankit Agrawal MedIm AI4CE 23 10 0 26 Jan 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 205 2,282 0 18 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,835 0 08 Jul 2016