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PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems


May 18, 2023
Shunyuan Mao, Ruobing Dong, Lu Lu, Kwang Moo Yi, Sifan Wang, Paris Perdikaris

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* 10 pages, 6 figures, 2 tables; ApJL accepted 

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Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior


May 15, 2023
Thomas Beckers, Jacob Seidman, Paris Perdikaris, George J. Pappas

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* Accepted at the IEEE Conference on Decision and Control 2022 

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Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach


Feb 25, 2023
Zhiwei Fang, Sifan Wang, Paris Perdikaris

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Variational Autoencoding Neural Operators


Feb 20, 2023
Jacob H. Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris

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Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks


Feb 14, 2023
Mohamed Aziz Bhouri, Michael Joly, Robert Yu, Soumalya Sarkar, Paris Perdikaris

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* 18 pages, 8 figures 

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Random Weight Factorization Improves the Training of Continuous Neural Representations


Oct 05, 2022
Sifan Wang, Hanwen Wang, Jacob H. Seidman, Paris Perdikaris

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* 33 pages, 21 figures, 12 tables 

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$Ξ”$-PINNs: physics-informed neural networks on complex geometries


Sep 08, 2022
Francisco Sahli Costabal, Simone Pezzuto, Paris Perdikaris

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* 15 pages, 8 figures 

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Semi-supervised Invertible DeepONets for Bayesian Inverse Problems


Sep 08, 2022
Sebastian Kaltenbach, Paris Perdikaris, Phaedon-Stelios Koutsourelakis

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Rethinking the Importance of Sampling in Physics-informed Neural Networks


Jul 05, 2022
Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne

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* 17 pages, 13 figures, 2 tables 

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NOMAD: Nonlinear Manifold Decoders for Operator Learning


Jun 07, 2022
Jacob H. Seidman, Georgios Kissas, Paris Perdikaris, George J. Pappas

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