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20192025
most citedNovel Deep neural networks for solving Bayesian statistical inverse

6 citations · 10 across the 7 of their papers we have counts for

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math.AP2020

Moreau-Yosida regularization for optimal control of fractional PDEs with state constraints: parabolic case

Harbir Antil, Thomas S. Brown, Deepanshu Verma +1

This paper considers optimal control of fractional parabolic PDEs with both state and control constraints. The key challenge is how to handle the state constraints. Similarly, to t…

math.OC2020

Fractional Deep Neural Network via Constrained Optimization

Harbir Antil, Ratna Khatri, Rainald Löhner +1

This paper introduces a novel algorithmic framework for a deep neural network (DNN), which in a mathematically rigorous manner, allows us to incorporate history (or memory) into th…