Dieter Theiler

Dieter Theiler has 2 papers in our library, in 2023–2024; often with Dominik Kowald, Harald Semmelrock, Simone Kopeinik.

2 papers in our library · 2023–2024

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers (2024 · 92 citations)
The authors argue that ML-based research has a serious reproducibility problem and that the community still underestimates it.
Reproducibility in Machine Learning-Driven Research (2023 · 11 citations)
This mini survey examines why so many machine learning (ML) results cannot be reproduced, and what might help.

4 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated 3 November 2026