1.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Ludwig-Maximilians-Universität MünchenDE31 papers
- Technical University of MunichDE9 papers
- LMU KlinikumDE4 papers
- Munich Center for Machine Learning4 papers
- TU Dortmund UniversityDE3 papers
- University of RegensburgDE3 papers
- Case Western Reserve UniversityUS2 papers
- Frankfurt Institute for Advanced StudiesDE2 papers
- RWTH Aachen UniversityDE2 papers
- Technische Universität DresdenDE2 papers
- University of AmsterdamNL2 papers
- University of BayreuthDE2 papers
41 papers
Can AI systems have free will?
Christian List
While there has been much discussion of whether AI systems could function as moral agents or acquire sentience, there has been very little discussion of whether AI systems could ha…
Monotone-based Numerical Schemes for Two-Dimensional Systems of Nonlocal Conservation Laws
Anika Beckers, Jan Friedrich
We present a general class of numerical schemes for two-dimensional systems of nonlocal conservation laws, which are based on utilizing well-known monotone numerical flux functions…
A Heptalemma for Quantum Mechanics
John B. DeBrota, Christian List
We present a seven-pronged no-go result for quantum mechanics: a "heptalemma". It shows that seven initially plausible theses about physical reality are jointly inconsistent with t…
Spin Dependence of Charge Dynamics and Group Velocity in Chiral Molecules
Riley Stuermer, Collin VanEssen, Jacob Byers +5
Chiral molecules are known to preferentially select electrons with a particular spin state, an effect termed chirality-induced spin selectivity (CISS). In this work, the transient…
Reduction Techniques for Survival Analysis
Johannes Piller, Léa Orsini, Simon Wiegrebe +6
In this work, we discuss what we refer to as reduction techniques for survival analysis, that is, techniques that "reduce" a survival task to a more common regression or classifica…
IF-QAOA: A Penalty-Free Approach to Accelerating Constrained Quantum Optimization
David Bucher, Jonas Stein, Sebastian Feld +1
Traditional methods for handling (inequality) constraints in the Quantum Approximate Optimization Ansatz (QAOA) typically rely on penalty terms and slack variables, which increase…
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…
Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models
Kristian G. Barman, Sascha Caron, Emily Sullivan +19
This paper explores ideas and provides a potential roadmap for the development and evaluation of physics-specific large-scale AI models, which we call Large Physics Models (LPMs).…
Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models
Chengyan Wu, Bolei Ma, Zheyu Zhang +3
Aspect-based sentiment analysis (ABSA), a sequence labeling task, has attracted increasing attention in multilingual contexts. While previous research has focused largely on fine-t…
The Huang-Yang formula for the low-density Fermi gas: upper bound
Emanuela L. Giacomelli, Christian Hainzl, Phan Thành Nam +1
We study the ground state energy of a gas of spin fermions with repulsive short-range interactions. We derive an upper bound that agrees, at low density , with the Huang-Y…
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…
From task structures to world models: What do LLMs know?
Ilker Yildirim, L. A. Paul
In what sense does a large language model have knowledge? The answer to this question extends beyond the capabilities of a particular AI system, and challenges our assumptions abou…
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,…
Constraint characterization and degree of freedom counting in Lagrangian field theory
Verónica Errasti Díez, Markus Maier, Julio A. Méndez-Zavaleta
We present a Lagrangian approach to counting degrees of freedom in first-order field theories. The emphasis is on the systematic attainment of a complete set of constraints. In par…
Generative AI
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch +1
The term "generative AI" refers to computational techniques that are capable of generating seemingly new, meaningful content such as text, images, or audio from training data. The…
Taxonomy for Physics Beyond Quantum Mechanics
Emily Adlam, Jonte R. Hance, Sabine Hossenfelder +1
We propose terminology to classify interpretations of quantum mechanics and models that modify or complete quantum mechanics. Our focus is on models which have previously been refe…
The Measurement Problem Is a Feature, Not a Bug--Schematising the Observer and the Concept of an Open System on an Informational, or (Neo-)Bohrian, Approach
Michael E. Cuffaro
I flesh out the sense in which the informational approach to interpreting quantum mechanics, as defended by Pitowsky and Bub and lately by a number of other authors, is (neo-)Bohri…
UNGOML: Automated Classification of unsafe Usages in Go
Anna-Katharina Wickert, Clemens Damke, Lars Baumgärtner +2
The Go programming language offers strong protection from memory corruption. As an escape hatch of these protections, it provides the unsafe package. Previous studies identified th…
The Open Systems View and the Everett Interpretation
Michael E. Cuffaro, Stephan Hartmann
It is argued that those who defend the Everett, or `Many Worlds', interpretation of quantum mechanics should embrace what we call the general quantum theory of open systems (GT) as…
Automated wildlife image classification: An active learning tool for ecological applications
Ludwig Bothmann, Lisa Wimmer, Omid Charrakh +6
Wildlife camera trap images are being used extensively to investigate animal abundance, habitat associations, and behavior, which is complicated by the fact that experts must first…
Esakia Duals of Regular Heyting Algebras
Gianluca Grilletti, Davide Emilio Quadrellaro
We investigate in this article regular Heyting algebras by means of Esakia duality. In particular, we give a characterisation of Esakia spaces dual to regular Heyting algebras and…
Superfluid dark matter in tension with weak gravitational lensing data
Tobias Mistele, Stacy McGaugh, Sabine Hossenfelder
Superfluid dark matter (SFDM) is a model that promises to reproduce the successes of both particle dark matter on cosmological scales and those of Modified Newtonian Dynamics (MOND…
Measuring the integrated information of a quantum mechanism
Larissa Albantakis, Robert Prentner, Ian Durham
Originally conceived as a theory of consciousness, integrated information theory (IIT) provides a theoretical framework intended to characterize the compositional causal informatio…
Aether scalar tensor theory confronted with weak lensing data at small accelerations
Tobias Mistele, Stacy McGaugh, Sabine Hossenfelder
The recently proposed aether scalar tensor (AeST) model reproduces both the successes of particle dark matter on cosmological scales and those of modified Newtonian dynamics (MOND)…