Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion
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Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields

11 September 2023

Manuel K Rausch

F. Sahli Costabal

Papers citing "Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields"

10 / 10 papers shown

Title
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 98 829 0 29 Sep 2022
A new family of Constitutive Artificial Neural Networks towards automated model discovery K. Linka E. Kuhl AI4CE 58 163 0 15 Sep 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints Hyungjin Chung Byeongsu Sim Dohoon Ryu J. C. Ye DiffM MedIm 86 453 0 02 Jun 2022
Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification Lia Gander Simone Pezzuto A. Gharaviri Rolf Krause P. Perdikaris F. Sahli Costabal 34 13 0 15 Dec 2021
Data-driven Tissue Mechanics with Polyconvex Neural Ordinary Differential Equations Vahidullah Tac F. Sahli Costabal A. B. Tepole AI4CE 70 71 0 03 Oct 2021
Polyconvex anisotropic hyperelasticity with neural networks Dominik K. Klein Mauricio Fernández Robert J. Martin P. Neff Oliver Weeger 54 153 0 20 Jun 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 289 6,401 0 26 Nov 2020
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 57 126 0 11 Sep 2020
Matérn Gaussian processes on Riemannian manifolds Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 73 122 0 17 Jun 2020
Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity Nikolaos N. Vlassis R. Ma WaiChing Sun AI4CE 39 175 0 08 Jan 2020