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20182026
most citedNovel Deep neural networks for solving Bayesian statistical inverse

6 citations · 16 across the 32 of their papers we have counts for

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10 papers · 1 filter

math.NA2025

Well-Posedness and Approximation of Weak Solutions to Time Dependent Maxwell's Equations with -Data

Harbir Antil

We study Maxwell's equations in conducting media with perfectly conducting boundary conditions on Lipschitz domains, allowing rough material coefficients and -data. Our first…

math.NA2025

A posteriori and a priori error estimates for linearized thin sheet folding

Harbir Antil, Sean P. Carney, Rohit Khandelwal

We describe a posteriori error analysis for a discontinuous Galerkin method for a fourth order elliptic interface problem that arises from a linearized model of thin sheet folding.…

math.NA2025

Duality-Based Algorithm and Numerical Analysis for Optimal Insulation Problems on Non-Smooth Domains

Harbir Antil, Alex Kaltenbach, Keegan L. A. Kirk

This article develops a numerical approximation of a convex non-local and non-smooth minimization problem. The physical problem involves determining the optimal distribution, given…

math.NA2024

A Generic MATLAB Toolbox to Approximate PDEs Using Computational Geometry

Kiefer Green, Harbir Antil

This article introduces a general purpose framework and software to approximate partial differential equations (PDEs). The sparsity patterns of finite element discretized operators…

math.NA2022

Neural Network Representation of Time Integrators

Rainald Löhner, Harbir Antil

Deep neural network (DNN) architectures are constructed that are the exact equivalent of explicit Runge-Kutta schemes for numerical time integration. The network weights and biases…

math.NA2022

Efficient algorithms for Bayesian Inverse Problems with Whittle--Matérn Priors

Harbir Antil, Arvind K. Saibaba

This paper tackles efficient methods for Bayesian inverse problems with priors based on Whittle--Matérn Gaussian random fields. The Whittle--Matérn prior is characterized by a mean…