The advent of high-speed computers and sophisticated software tools has made the
computation of derivatives for functions defined by evaluation programs both easier and …

In this paper we derive a posteriori error estimates for space-time finite element
discretizations of parabolic optimization problems. The provided error estimates assess the …

In a backdoor attack, an attacker injects corrupted examples into the training set. The goal of
the attacker is to cause the final trained model to predict the attacker's desired target label …

We introduce an approach to carry out layout optimization of metallic antenna parts. An
optimization technique first developed for the optimization of load-bearing elastic structures …

We present a mathematical framework for producing optimal designs of structures that
exhibit viscoelastic creep deformation. Using a linear viscoelastic finite element model, we …

We present an approach for efficient numerical solution of optimization problems governed
by parabolic partial differential equations. The main ingredients are: space-time finite …

This paper presents a general strategy for designing adaptive space–time finite element
discretizations of the nonstationary Navier–Stokes equations. The underlying framework is …

Combinatorial techniques have become essential tools across the landscape of
computational science, and some of the combinatorial ideas undergirding these tools are …

Adjoint methods are a key ingredient of gradient-based full-waveform inversion schemes.
While being conceptually elegant, they face the challenge of massive memory requirements …

The differentiable programming paradigm is a cornerstone of modern scientific computing. It
refers to numerical methods for computing the gradient of a numerical model's output. Many …