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Mask-PINNs: Regulating Feature Distributions in Physics-Informed Neural Networks
v1v2 (latest)

Mask-PINNs: Regulating Feature Distributions in Physics-Informed Neural Networks

9 May 2025
Feilong Jiang
Xiaonan Hou
Jianqiao Ye
Min Xia
    OODPINN
ArXiv (abs)PDFHTML

Papers citing "Mask-PINNs: Regulating Feature Distributions in Physics-Informed Neural Networks"

14 / 14 papers shown
Title
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Sizhuang He
Ananyae Kumar Bhartari
Bowen Li
P. Perdikaris
PINN
116
12
0
02 Feb 2025
HyResPINNs: Hybrid Residual Networks for Adaptive Neural and RBF Integration in Solving PDEs
HyResPINNs: Hybrid Residual Networks for Adaptive Neural and RBF Integration in Solving PDEs
Madison Cooley
Robert M. Kirby
Shandian Zhe
Varun Shankar
PINNAI4CE
82
0
0
04 Oct 2024
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
Hyunwoo Lee
Hayoung Choi
Hyunju Kim
59
2
0
03 Oct 2024
PirateNets: Physics-informed Deep Learning with Residual Adaptive
  Networks
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
Sizhuang He
Bowen Li
Yuhan Chen
P. Perdikaris
AI4CEPINN
152
36
0
01 Feb 2024
Learning Specialized Activation Functions for Physics-informed Neural
  Networks
Learning Specialized Activation Functions for Physics-informed Neural Networks
Honghui Wang
Lu Lu
Shiji Song
Gao Huang
PINNAI4CE
77
13
0
08 Aug 2023
Activation Functions in Deep Learning: A Comprehensive Survey and
  Benchmark
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
S. Dubey
S. Singh
B. B. Chaudhuri
100
676
0
29 Sep 2021
Physics-informed neural networks (PINNs) for fluid mechanics: A review
Physics-informed neural networks (PINNs) for fluid mechanics: A review
Shengze Cai
Zhiping Mao
Zhicheng Wang
Minglang Yin
George Karniadakis
PINNAI4CE
88
1,209
0
20 May 2021
Implicit Neural Representations with Periodic Activation Functions
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
AI4TS
171
2,577
0
17 Jun 2020
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
133
3,707
0
16 Jan 2019
Activation Functions: Comparison of trends in Practice and Research for
  Deep Learning
Activation Functions: Comparison of trends in Practice and Research for Deep Learning
S. Bodenstedt
Dominik Rivoir
A. Gachagan
S. T. Mees
103
1,279
0
08 Nov 2018
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in
  Simulating Lake Temperature Profiles
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles
X. Jia
J. Willard
Anuj Karpatne
J. Read
Jacob Aaron Zwart
M. Steinbach
Vipin Kumar
PINNAI4CE
43
213
0
31 Oct 2018
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
435
10,541
0
21 Jul 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
196
1,945
0
25 Feb 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
467
43,347
0
11 Feb 2015
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