activity
20192025
most citedNovel Deep neural networks for solving Bayesian statistical inverse

6 citations · 12 across the 9 of their papers we have counts for

collaborators
Showing math.OCShow all

8 papers · 1 filter

math.OC2022★ 1 cited

A Neural Network Approach for Stochastic Optimal Control

Xingjian Li, Deepanshu Verma, Lars Ruthotto

We present a neural network approach for approximating the value function of high-dimensional stochastic control problems. Our training process simultaneously updates our value fun…

math.OC2021★ 2 cited

Deep Neural Nets with Fixed Bias Configuration

Harbir Antil, Thomas S. Brown, Rainald Löhner +2

For any given neural network architecture a permutation of weights and biases results in the same functional network. This implies that optimization algorithms used to `train' or `…

math.OC2021★ 1 cited

Optimal Control, Numerics, and Applications of Fractional PDEs

Harbir Antil, Thomas S. Brown, Ratna Khatri +3

This article provides a brief review of recent developments on two nonlocal operators: fractional Laplacian and fractional time derivative. We start by accounting for several appli…

math.OC2021

Non-diffusive Variational Problems with Distributional and Weak Gradient Constraints

Harbir Antil, Rafael Arndt, Carlos N. Rautenberg +1

In this paper, we consider non-diffusive variational problems with mixed boundary conditions and (distributional and weak) gradient constraints. The upper bound in the constraint i…

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…

math.OC2019★ 2 cited

Moreau-Yosida Regularization for Optimal Control of Fractional Elliptic Problems with State and Control Constraints

Harbir Antil, Thomas S. Brown, Deepanshu Verma

Recently the authors have studied a state and control constrained optimal control problem with fractional elliptic PDE as constraints. The goal of this paper is to continue that pr…

math.OC2019

Optimal Control of Fractional Elliptic PDEs with State Constraints and Characterization of the dual of Fractional Order Sobolev Spaces

Harbir Antil, Deepanshu Verma, Mahamadi Warma

This paper introduces the notion of state constraints for optimal control problems governed by fractional elliptic PDEs of order . There are several mathematical tools…

math.OC2019

External optimal control of fractional parabolic PDEs

Harbir Antil, Deepanshu Verma, Mahamadi Warma

In this paper we introduce a new notion of optimal control, or source identification in inverse, problems with fractional parabolic PDEs as constraints. This new notion allows a so…