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Novel Deep neural networks for solving Bayesian statistical inverse

Novel Deep neural networks for solving Bayesian statistical inverse

8 February 2021

Deepanshu Verma

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Papers citing "Novel Deep neural networks for solving Bayesian statistical inverse"

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OCTANE -- Optimal Control for Tensor-based Autoencoder Network Emergence: Explicit Case R. Khatri Anthony Kolshorn Colin Olson Harbir Antil 28 0 0 09 Sep 2025
Epistemic Modeling Uncertainty of Rapid Neural Network Ensembles for Adaptive LearningFinite elements in analysis and design (FEAD), 2023 Atticus Beachy Harok Bae José Camberos R. Grandhi 69 5 0 12 Sep 2023
Time Regularization in Optimal Time Variable LearningPamm (PAMM), 2023 Evelyn Herberg Roland A. Herzog Frederik Köhne AI4TS AI4CE 59 1 0 28 Jun 2023
A Note on Dimensionality Reduction in Deep Neural Networks using Empirical Interpolation Method Harbir Antil Madhu Gupta Randy Price 80 2 0 16 May 2023
Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion Andrew Pensoneault Xueyu Zhu PINN 125 6 0 13 Mar 2023
Neural Network Representation of Time IntegratorsInternational Journal for Numerical Methods in Engineering (IJNME), 2022 R. Löhner Harbir Antil AI4TS 49 1 0 30 Nov 2022
An Optimal Time Variable Learning Framework for Deep Neural NetworksAnnals of Mathematical Sciences and Applications (AMSA), 2022 Harbir Antil Hugo Díaz Evelyn Herberg 80 4 0 18 Apr 2022
NINNs: Nudging Induced Neural Networks Harbir Antil R. Löhner Randy Price AI4CE 49 2 0 15 Mar 2022
Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows Thomas S. Brown Harbir Antil R. Löhner F. Togashi Deepanshu Verma AI4CE 65 17 0 01 Apr 2021