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Towards out of distribution generalization for problems in mechanics

Towards out of distribution generalization for problems in mechanics

29 June 2022
Lingxiao Yuan
Harold S. Park
Emma Lejeune
    OOD
    AI4CE
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Papers citing "Towards out of distribution generalization for problems in mechanics"

17 / 17 papers shown
Title
Trimming the Risk: Towards Reliable Continuous Training for Deep
  Learning Inspection Systems
Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems
Altaf Allah Abbassi
Houssem Ben Braiek
Foutse Khomh
Thomas Reid
23
0
0
13 Sep 2024
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic
  Chiral Metamaterials
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials
Lingxiao Yuan
Emma Lejeune
Harold S. Park
23
0
0
19 Apr 2024
A Framework for Strategic Discovery of Credible Neural Network Surrogate
  Models under Uncertainty
A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty
Pratyush Kumar Singh
Kathryn A. Farrell-Maupin
D. Faghihi
32
6
0
13 Mar 2024
Environment-Aware Dynamic Graph Learning for Out-of-Distribution
  Generalization
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
Haonan Yuan
Qingyun Sun
Xingcheng Fu
Ziwei Zhang
Cheng Ji
Hao Peng
Jianxin Li
OOD
25
16
0
18 Nov 2023
Segmenting mechanically heterogeneous domains via unsupervised learning
Segmenting mechanically heterogeneous domains via unsupervised learning
Quan Nguyen
Emma Lejeune
AI4CE
26
2
0
30 Aug 2023
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
Amirhossein Arzani
Lingxiao Yuan
P. Newell
Bei Wang
AI4CE
26
7
0
10 Jul 2023
Learning Mechanically Driven Emergent Behavior with Message Passing
  Neural Networks
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks
Peerasait Prachaseree
Emma Lejeune
PINN
AI4CE
33
11
0
03 Feb 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
875
0
21 Oct 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection
On the Impact of Spurious Correlation for Out-of-distribution Detection
Yifei Ming
Hang Yin
Yixuan Li
OODD
151
74
0
12 Sep 2021
Predicting Mechanically Driven Full-Field Quantities of Interest with
  Deep Learning-Based Metamodels
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels
S. Mohammadzadeh
Emma Lejeune
AI4CE
25
28
0
24 Jul 2021
Deep Visual Domain Adaptation
Deep Visual Domain Adaptation
G. Csurka
OOD
138
185
0
28 Dec 2020
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
149
370
0
09 May 2020
Invariant Rationalization
Invariant Rationalization
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
179
201
0
22 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
901
0
02 Mar 2020
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
80
1,231
0
30 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
156
308
0
05 Nov 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
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