activity
20172023
most citedEfficient learning of large sets of locally optimal classification rules

17 citations · 32 across the 8 of their papers we have counts for

collaborators

11 papers

hep-th2023

Special geometry, quasi-modularity and attractor flow for BPS structures

Murad Alim, Florian Beck, Anna Biggs +1

We study mathematical structures on the moduli spaces of BPS structures of theories. Guided by the realization of BPS structures within type IIB string theory on no…

cs.LG2023★ 17 cited

Efficient learning of large sets of locally optimal classification rules

Van Quoc Phuong Huynh, Johannes Fürnkranz, Florian Beck

Conventional rule learning algorithms aim at finding a set of simple rules, where each rule covers as many examples as possible. In this paper, we argue that the rules found in thi…

cs.LG2021

An Empirical Investigation into Deep and Shallow Rule Learning

Florian Beck, Johannes Fürnkranz

Inductive rule learning is arguably among the most traditional paradigms in machine learning. Although we have seen considerable progress over the years in learning rule-based theo…

cs.LG2021★ 2 cited

An Investigation into Mini-Batch Rule Learning

Florian Beck, Johannes Fürnkranz

We investigate whether it is possible to learn rule sets efficiently in a network structure with a single hidden layer using iterative refinements over mini-batches of examples. A…

math.DG2021★ 1 cited

Geometry of the Space of Sections of Twistor Spaces with Circle Action

Florian Beck, Indranil Biswas, Sebastian Heller +1

We study the holomorphic symplectic geometry of (the smooth locus of) the space of holomorphic sections of a twistor space with rotating circle action. The twistor space carries a…

math.AG2020

Folding of Hitchin systems and crepant resolutions

Florian Beck, Ron Donagi, Katrin Wendland

Folding of ADE-Dynkin diagrams according to graph automorphisms yields irreducible Dynkin diagrams of ABCDEFG-types. This folding procedure allows to trace back the properties of t…