output
20062026
most citedNanoscale Detection of Magnon Excitations with Variable Wavevectors Through a Quantum Spin Sensor

88 citations

45 papers

cs.SE2026★ 20 cited

Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront

Alina Mailach, Norbert Siegmund

Although machine learning (ML)-enabled software systems seem to be a success story considering their rise in economic power, there are consistent reports from companies and practit…

cs.DB2026

Towards an open registry of Earth observation instruments

David Montero, César Aybar, Miguel D. Mahecha +1

Earth observation (EO) is essential to understanding the Earth system, enabling the transformation of planetary properties into measurable variables that can be analysed, compared,…

cs.NE2026★ 2 cited

Selection Hyper-heuristics Can Automatically Adjust the Learning Period to Optimally Solve Pseudo-Boolean Problems

Benjamin Doerr, Pietro S. Oliveto, John Alasdair Warwicker

The Random Gradient hyper-heuristic was recently shown to be able to learn the optimal neighbourhood size when optimizing the LeadingOnes benchmark via the Randomised Local Search…

math.MG2025

Characterization of foliations via disintegration maps

Florentin Münch, Renata Possobon, Christian S. Rodrigues

In this paper, we present a novel approach for analyzing the relationship between the supports of conditional measures and their geometric arrangement in Wasserstein space via the…

cs.NE2025

Growing Reservoirs with Developmental Graph Cellular Automata

Matias Barandiaran, James Stovold

Developmental Graph Cellular Automata (DGCA) are a novel model for morphogenesis, capable of growing directed graphs from single-node seeds. In this paper, we show that DGCAs can b…

cs.NE2025

Identity Increases Stability in Neural Cellular Automata

James Stovold

Neural Cellular Automata (NCAs) offer a way to study the growth of two-dimensional artificial organisms from a single seed cell. From the outset, NCA-grown organisms have had issue…