output
20062026
most citedTests of General Relativity with Binary Black Holes from the second LIGO-Virgo Gravitational-Wave Transient Catalog

807 citations

Showing 2024Show all

6 papers · 1 filter

astro-ph.GA2024★ 12 cited

Accurate sticking coefficient calculation for carbonaceous dust growth through accretion and desorption in astrophysical environments

Duncan Bossion, Arkaprabha Sarangi, Susanne Aalto +5

Context. Cosmic dust is ubiquitous in astrophysical environments, where it significantly influences the chemistry and the spectra. Dust grains are likely to grow through the accret…

cond-mat.mtrl-sci2024★ 1 cited

Multiscale approach for modeling magnetization properties of inhomogeneous ultrathin magnetic layers

Julien Mordret, Jean-Christophe Le Breton, Gabriel Delhaye +3

We report on spin atomistic calculations used to model static and dynamic magnetic properties of inhomogeneous ultrathin iron films. Active magnetic layers in next-generation spint…

math.GR2024

On the Nilpotency of Locally Pro-p Contraction Groups

Alonso Beaumont

H. Glöckner and G. A. Willis have recently shown that locally pro-p contraction groups are nilpotent. The proof hinges on a fixed-point result: if the local field $\mathbb{F}_{p}(\…

cs.LG2024

MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts

Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov +3

Leveraging the models' outputs, specifically the logits, is a common approach to estimating the test accuracy of a pre-trained neural network on out-of-distribution (OOD) samples w…

cond-mat.mtrl-sci2024★ 13 cited

Intrinsic Limits of Charge Carrier Mobilities in Layered Halide Perovskites

Bruno Cucco, Joshua Leveillee, Viet-Anh Ha +4

Layered halide perovskites have emerged as potential alternatives to three-dimensional halide perovskites due to their improved stability and larger material phase space, allowing…

cs.LG2024

Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift

Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov +3

Estimating the test performance of a model, possibly under distribution shift, without having access to the ground-truth labels is a challenging, yet very important problem for the…