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A Generative Modeling Framework for Inferring Families of Biomechanical
  Constitutive Laws in Data-Sparse Regimes

A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes

4 May 2023
Minglang Yin
Zongren Zou
Enrui Zhang
C. Cavinato
J. Humphrey
George Karniadakis
    SyDa
    MedIm
    AI4CE
ArXivPDFHTML

Papers citing "A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes"

4 / 4 papers shown
Title
Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific
  Machine Learning Problems
Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems
Paula Chen
Tingwei Meng
Zongren Zou
Jérome Darbon
George Karniadakis
AI4CE
25
5
0
22 Mar 2023
Data-driven Tissue Mechanics with Polyconvex Neural Ordinary
  Differential Equations
Data-driven Tissue Mechanics with Polyconvex Neural Ordinary Differential Equations
Vahidullah Tac
F. Sahli Costabal
A. B. Tepole
AI4CE
25
69
0
03 Oct 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
14,047
0
02 Dec 2016
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
132
3,263
0
09 Jun 2012
1