Daniel Walter

According to our database, Daniel Walter authored at least 11 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Asymptotic linear convergence of fully-corrective generalized conditional gradient methods.

Kristian Bredies, Marcello Carioni, Silvio Fanzon, Daniel Walter

Math. Program., May, 2024

Empirical risk minimization for risk-neutral composite optimal control with applications to bang-bang control.

Johannes Milz, Daniel Walter

CoRR, 2024

Physics-based material parameters extraction from perovskite experiments via Gaussian process.

Hualin Zhan, Viqar Ahmad, Azul Mayon, Grace Tabi, Anh Dinh Bui, Zhuofeng Li, Daniel Walter, Hieu Nguyen, Klaus Weber, Thomas White, Kylie Catchpole

CoRR, 2024

2023

Learning Optimal Feedback Operators and their Sparse Polynomial Approximations.

Karl Kunisch, Donato Vásquez-Varas, Daniel Walter

J. Mach. Learn. Res., 2023

Conditional gradients for total variation regularization with PDE constraints: a graph cuts approach.

Giacomo Cristinelli, José A. Iglesias, Daniel Walter

CoRR, 2023

Towards optimal sensor placement for inverse problems in spaces of measures.

Phuoc-Truong Huynh, Konstantin Pieper, Daniel Walter

CoRR, 2023

2022

Exoplanet Characterization using Conditional Invertible Neural Networks.

Jonas Haldemann, Victor Ksoll, Daniel Walter, Yann Alibert, Ralf S. Klessen, Willy Benz, Ullrich Köthe, Lynton Ardizzone, Carsten Rother

CoRR, 2022

2021

FALEDIA: Eine Lernplattform für Lehramtsstudierende zum Erwerb von Diagnose- und Förderfähigkeit.

Andreas Bergmann, Tabea Dobbrunz, Andreas Harrer, Lara Huethorst, Meike Böttcher, Daniel Walter, Annabell Gutscher, Christoph Selter

Proceedings of the DELFI 2021, 2021

2020

Inverse point source location with the Helmholtz equation on a bounded domain.

Konstantin Pieper, Bao Quoc Tang, Philip Trautmann, Daniel Walter

Comput. Optim. Appl., 2020

2019

A sparse control approach to optimal sensor placement in PDE-constrained parameter estimation problems.

Ira Neitzel, Konstantin Pieper, Boris Vexler, Daniel Walter

Numerische Mathematik, 2019

2015

Evaluation of output embeddings for fine-grained image classification.

Zeynep Akata, Scott E. Reed, Daniel Walter, Honglak Lee, Bernt Schiele

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015