538 citations
- University of EdinburghGB577 papers
- Heriot-Watt UniversityGB436 papers
- Pennsylvania State UniversityUS35 papers
- University of CambridgeGB31 papers
- Centre National de la Recherche ScientifiqueFR30 papers
- University of SurreyGB30 papers
- Imperial College LondonGB24 papers
- KTH Royal Institute of TechnologySE22 papers
- University of OxfordGB21 papers
- Leibniz University HannoverDE20 papers
- Charles UniversityCZ19 papers
- ETH ZurichCH14 papers
1,094 papers
Disruption of a Giant: Spectroscopic Identification of Members in the Periphery and Tidal Tails of Centauri
P. B. Kuzma, A. M. N. Ferguson, A. L. Varri +1
Centauri ( Cen, NGC\,5139) is one of the most enigmatic globular clusters in the Milky Way, with the recent detection of tidal tails adding further to its complexity. We rep…
Gradient-flow characterizations of one-dimensional quasistatic viscoelasticity with Bhattacharya-like viscosity
Alexander Mielke, Billy Sumners
We study the equation of one-dimensional quasistatic nonlinear viscoelasticity with Dirichlet boundary conditions, in the particular case that the underlying dissipation geometry (…
Modularity of Feynman Integrals and Factorization of Appell F2 Systems
Murad Alim, Filippo La Mantia
Certain Feynman integrals can be expressed as periods of differential forms on Calabi--Yau manifolds. We provide a mathematical proof of a result of Duhr and Maggio on the modulari…
Graph-Informed Adversarial Modeling: Infimal Subadditivity of Interpolative Divergences
Panagiota Birmpa, Eric Joseph Hall
We study adversarial learning when the target distribution factorizes according to a known Bayesian network. For interpolative divergences, including -divergences, we prove…
Geometric Inverse Semigroup Theory: a note on the Milnor-Schwarz Lemma for inverse monoids
Giorgio Mangioni, Francesco Tesolin
We generalise the Milnor-Schwarz lemma to inverse monoids acting on presheaves of geodesic metric spaces. We provide two proofs of this fact: one only uses elementary techniques, i…
Chaos propagation in genetic algorithms: An optimal transport approach
Giacomo Borghi
Genetic algorithms are high-level heuristic optimization methods which enjoy great popularity thanks to their intuitive description, flexibility, and, of course, effectiveness. The…