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Interpreting and generalizing deep learning in physics-based problems
with functional linear models

Interpreting and generalizing deep learning in physics-based problems with functional linear models

10 July 2023

Amirhossein Arzani

Papers citing "Interpreting and generalizing deep learning in physics-based problems with functional linear models"

8 / 8 papers shown

Title
ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification Siva Viknesh Younes Tatari Amirhossein Arzani 59 2 0 21 Oct 2024
Deep neural operators can serve as accurate surrogates for shape optimization: A case study for airfoils K. Shukla Vivek Oommen Ahmad Peyvan Michael Penwarden L. Bravo A. Ghoshal Robert M. Kirby George Karniadakis 47 20 0 02 Feb 2023
An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis Owen Huang Sourav Saha Jiachen Guo Wing Kam Liu AI4CE 28 12 0 01 Dec 2022
Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity Shiyun Xu Zhiqi Bu Pratik Chaudhari Ian Barnett 42 22 0 25 Feb 2022
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 41 311 0 01 Nov 2021
Simulating progressive intramural damage leading to aortic dissection using an operator-regression neural network Minglang Yin Ehsan Ban B. Rego Enrui Zhang C. Cavinato J. Humphrey George Karniadakis AI4CE 47 52 0 25 Aug 2021
Convolutional-network models to predict wall-bounded turbulence from wall quantities L. Guastoni A. Güemes A. Ianiro S. Discetti P. Schlatter Hossein Azizpour R. Vinuesa 37 168 0 22 Jun 2020
Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems E. Qian Boris Kramer Benjamin Peherstorfer Karen E. Willcox AI4CE 15 262 0 17 Dec 2019

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