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Physics-informed PointNet: On how many irregular geometries can it solve
  an inverse problem simultaneously? Application to linear elasticity

Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity

22 March 2023
Ali Kashefi
Leonidas J. Guibas
T. Mukerji
    PINN
    3DPC
    AI4CE
ArXivPDFHTML

Papers citing "Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity"

4 / 4 papers shown
Title
A Misleading Gallery of Fluid Motion by Generative Artificial
  Intelligence
A Misleading Gallery of Fluid Motion by Generative Artificial Intelligence
Ali Kashefi
VGen
40
5
0
24 May 2024
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and
  Inverse PDE Problems with Noisy Data
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang
Xuhui Meng
George Karniadakis
PINN
170
616
0
13 Mar 2020
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
210
13,886
0
02 Dec 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,696
0
15 Sep 2016
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