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2204.06362
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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
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Papers citing
"A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic"
14 / 14 papers shown
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25 Apr 2022
Provable Regret Bounds for Deep Online Learning and Control
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Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias
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07 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
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Zero-Shot Text-to-Image Generation
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Chelsea Voss
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24 Feb 2021
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models
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12 Feb 2021
User Response Prediction in Online Advertising
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Xingquan Zhu
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07 Jan 2021
Physics guided machine learning using simplified theories
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Omer San
Burak Aksoylu
Adil Rasheed
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18 Dec 2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
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Xuhui Meng
George Karniadakis
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13 Mar 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
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X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
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10 Mar 2020
Symplectic Recurrent Neural Networks
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Léon Bottou
139
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29 Sep 2019
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