6 citations · 13 across the 11 of their papers we have counts for
11 papers
Implementing Rational Choice Functions with LLMs and Measuring their Alignment with User Preferences
Anna Karnysheva, Christian Drescher, Dietrich Klakow
As large language models (LLMs) become integral to intelligent user interfaces (IUIs), their role as decision-making agents raises critical concerns about alignment. Although exten…
Evaluating the Quality of Finite Element Meshes with Machine Learning
Joachim Sprave, Christian Drescher
This paper addresses the problem of evaluating the quality of finite element meshes for the purpose of structural mechanic simulations. It proposes the application of a machine lea…
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
Stefan Studer, Thanh Binh Bui, Christian Drescher +4
Machine learning is an established and frequently used technique in industry and academia but a standard process model to improve success and efficiency of machine learning applica…
Invariants of polynomials mod Frobenius powers
C. Drescher, A. V. Shepler
Lewis, Reiner, and Stanton conjectured a Hilbert seriesfor a space of invariants under an action of finite general linear groups using -binomial coefficients. This work give…
Efficient Approximation of Well-Founded Justification and Well-Founded Domination (Corrected and Extended Version)
Christian Drescher, Toby Walsh
Many native ASP solvers exploit unfounded sets to compute consequences of a logic program via some form of well-founded negation, but disregard its contrapositive, well-founded jus…
Symmetry Breaking for Distributed Multi-Context Systems
Christian Drescher, Thomas Eiter, Michael Fink +2
Heterogeneous nonmonotonic multi-context systems (MCS) permit different logics to be used in different contexts, and link them via bridge rules. We investigate the role of symmetry…