output
19922026
most citedGW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

9.8k citations

1,348 papers

cs.FL2026

Irreducibility of Endomorphisms of Finitely Generated Free Semigroups

Paul C. Bell, Eva Foster, Daniel Reidenbach

We introduce and investigate the irreducibility of endomorphisms of finitely generated free semigroups, i.e., we investigate when an endomorphism , where is any…

econ.EM2026

Threshold Regression for Fixed-T Panel Data with Interactive Fixed Effects

Jan Ditzen, Yiannis Karavias, Joakim Westerlund

This paper develops a new toolbox for estimation and inference in panel data threshold regression models with interactive fixed effects and a fixed number of time periods, T. The t…

physics.flu-dyn2026

An Interpretable Convolutional Neural Network Framework for Fluid Dynamics

Kwame Agyei-Baah, Muhammad Rizwanur Rahman, E. R. Smith

Modelling fluid dynamics with machine learning (ML) has advanced rapidly, yet most data driven approaches remain opaque because they rely on complex architectures to capture nonlin…

cs.SE2025★ 2 cited

LLM4SCREENLIT: Recommendations on Assessing the Performance of Large Language Models for Screening Literature in Systematic Reviews

Lech Madeyski, Barbara Kitchenham, Martin Shepperd

Context: Large language models (LLMs) are increasingly used to screen literature for systematic reviews (SRs), but the standard confusion-matrix metrics used to evaluate them can m…

cs.CV2025★ 2 cited

Deep Neural Watermarking for Robust Copyright Protection in 3D Point Clouds

Khandoker Ashik Uz Zaman, Mohammad Zahangir Alam, Mohammed N. M. Ali +1

The protection of intellectual property has become critical due to the rapid growth of three-dimensional content in digital media. Unlike traditional images or videos, 3D point clo…

stat.ML2025

Non-Vacuous Generalization Bounds: Can Rescaling Invariances Help?

Damien Rouchouse, Antoine Gonon, Rémi Gribonval +1

A central challenge in understanding generalization is to obtain non-vacuous guarantees that go beyond worst-case complexity over data or weight space. Among existing approaches, P…