output
20152026
most citedGenerative AI

1.3k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.LGShow all

5 papers · 1 filter

cs.LG2025★ 1 cited

Beware of "Explanations" of AI

David Martens, Galit Shmueli, Theodoros Evgeniou +14

Understanding the decisions made and actions taken by increasingly complex AI system remains a key challenge. This has led to an expanding field of research in explainable artifici…

cs.LG2023★ 8 cited

Statistical learning theory and Occam's razor: The core argument

Tom F. Sterkenburg

Statistical learning theory is often associated with the principle of Occam's razor, which recommends a simplicity preference in inductive inference. This paper distills the core a…

cs.LG2023★ 22 cited

Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector

Unai Fischer-Abaigar, Christoph Kern, Noam Barda +1

AI-driven decision-making systems are becoming instrumental in the public sector, with applications spanning areas like criminal justice, social welfare, financial fraud detection,…

cs.LG2022★ 2 cited

Symbolic Recovery of Differential Equations: The Identifiability Problem

Philipp Scholl, Aras Bacho, Holger Boche +1

Symbolic recovery of differential equations is the ambitious attempt at automating the derivation of governing equations with the use of machine learning techniques. In contrast to…

cs.LG2022★ 90 cited

The no-free-lunch theorems of supervised learning

Tom F. Sterkenburg, Peter D. Grünwald

The no-free-lunch theorems promote a skeptical conclusion that all possible machine learning algorithms equally lack justification. But how could this leave room for a learning the…