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A Review of Machine Learning Methods Applied to Structural Dynamics and
  Vibroacoustic

A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic

13 April 2022
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
    AI4CE
ArXivPDFHTML

Papers citing "A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic"

14 / 14 papers shown
Title
ServoLNN: Lagrangian Neural Networks Driven by Servomechanisms
ServoLNN: Lagrangian Neural Networks Driven by Servomechanisms
Brandon Johns
Zhuomin Zhou
Elahe Abdi
PINN
3DV
58
0
0
27 Feb 2025
Convergence and error analysis of PINNs
Convergence and error analysis of PINNs
Nathan Doumèche
Gérard Biau
D. Boyer
PINN
AI4CE
32
16
0
02 May 2023
Physics-informed machine learning for Structural Health Monitoring
Physics-informed machine learning for Structural Health Monitoring
E. Cross
S. Gibson
M. R. Jones
D. J. Pitchforth
S. Zhang
T. Rogers
AI4CE
33
33
0
30 Jun 2022
On Machine Learning-Driven Surrogates for Sound Transmission Loss
  Simulations
On Machine Learning-Driven Surrogates for Sound Transmission Loss Simulations
Barbara Z Cunha
A. Zine
M. Ichchou
C. Droz
Stéphane Foulard
AI4CE
9
4
0
25 Apr 2022
Provable Regret Bounds for Deep Online Learning and Control
Provable Regret Bounds for Deep Online Learning and Control
Xinyi Chen
Edgar Minasyan
Jason D. Lee
Elad Hazan
11
6
0
15 Oct 2021
Lagrangian Neural Network with Differentiable Symmetries and Relational
  Inductive Bias
Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias
Ravinder Bhattoo
Sayan Ranu
N. M. A. Krishnan
AI4CE
34
4
0
07 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics
  Models
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
M. Lutter
Jan Peters
PINN
AI4CE
29
38
0
05 Oct 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,764
0
24 Feb 2021
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable
  Contact Models
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models
Yaofeng Desmond Zhong
Biswadip Dey
Amit Chakraborty
52
34
0
12 Feb 2021
User Response Prediction in Online Advertising
User Response Prediction in Online Advertising
Zhabiz Gharibshah
Xingquan Zhu
OffRL
52
45
0
07 Jan 2021
Physics guided machine learning using simplified theories
Physics guided machine learning using simplified theories
Suraj Pawar
Omer San
Burak Aksoylu
Adil Rasheed
T. Kvamsdal
PINN
AI4CE
92
87
0
18 Dec 2020
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
756
0
13 Mar 2020
Integrating Scientific Knowledge with Machine Learning for Engineering
  and Environmental Systems
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
83
387
0
10 Mar 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
139
219
0
29 Sep 2019
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