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- University of ViennaAT103 papers
- Centre National de la Recherche ScientifiqueFR100 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR51 papers
- Vienna Center for Quantum Science and TechnologyAT45 papers
- European Organization for Nuclear ResearchCH40 papers
- CEA Paris-SaclayFR36 papers
- Charles UniversityCZ35 papers
- Heidelberg UniversityDE29 papers
- Technical University of MunichDE29 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR25 papers
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ24 papers
- University of BolognaIT24 papers
67 papers · 1 filter
On The Complete Description Of Entangled Systems Part II: The (Meta)Physical Status And Semantic Aspects
Karl Svozil
We review some semantical aspects of probability bounds from Boole's "conditions on possible experience" violated by quantum mechanics. We also speculate about emerging space-time…
Polyharmonic Functions in the Quarter Plane (Extended Abstract)
Andreas Nessmann
In this article, a novel method to compute all discrete polyharmonic functions in the quarter plane for models with small steps, zero drift and a finite group is proposed. A simila…
Exploring coherent elastic neutrino-nucleus scattering of reactor neutrinos with the NUCLEUS experiment
The NUCLEUS collaboration, C. Goupy, H. Abele +59
The NUCLEUS experiment aims to perform a high-precision measurement of Coherent Elastic Neutrino-Nucleus Scattering (CEvNS) at the EdF Chooz B nuclear power plant in France. CEvNS…
Principal Balances of Compositional Data for Regression and Classification using Partial Least Squares
V. Nesrstová, I. Wilms, J. Palarea-Albaladejo +4
High-dimensional compositional data are commonplace in the modern omics sciences amongst others. Analysis of compositional data requires a proper choice of orthonormal coordinate r…
Safe Policy Improvement in Constrained Markov Decision Processes
Luigi Berducci, Radu Grosu
The automatic synthesis of a policy through reinforcement learning (RL) from a given set of formal requirements depends on the construction of a reward signal and consists of the i…
Explaining machine learning models for age classification in human gait analysis
Djordje Slijepcevic, Fabian Horst, Marvin Simak +7
Machine learning (ML) models have proven effective in classifying gait analysis data, e.g., binary classification of young vs. older adults. ML models, however, lack in providing h…