output
20212026
most citedYOLO-CIANNA: Galaxy detection with deep learning in radio data. I. A new YOLO-inspired source detection method applied to the SKAO SDC1

16 citations

5 papers

astro-ph.CO2026

Discriminating Planck Reionisation Histories with the kSZ Effect

M. Douspis, A. Gorce, S. Ilić +5

The epoch of reionisation is a key phase in cosmic history, but its detailed evolution remains poorly constrained by current cosmic microwave background (CMB) observations. We inve…

astro-ph.IM2025★ 9 cited

Square Kilometre Array Science Data Challenge 3a: foreground removal for an EoR experiment

A. Bonaldi, P. Hartley, R. Braun +179

We present and analyse the results of the Science data challenge 3a (SDC3a, https://sdc3.skao.int/challenges/foregrounds), an EoR foreground-removal community-wide exercise organis…

eess.IV2025★ 2 cited

Reconstruct Anything Model: a lightweight general model for computational imaging

Matthieu Terris, Samuel Hurault, Maxime Song +1

Most existing learning-based methods for solving imaging inverse problems can be roughly divided into two classes: iterative algorithms, such as plug-and-play and diffusion methods…

astro-ph.IM2024★ 16 cited

YOLO-CIANNA: Galaxy detection with deep learning in radio data. I. A new YOLO-inspired source detection method applied to the SKAO SDC1

D. Cornu, P. Salomé, B. Semelin +8

The upcoming Square Kilometer Array (SKA) will set a new standard regarding data volume generated by an astronomical instrument, which is likely to challenge widely adopted data-an…

cs.DC2021

Introducing OpenMP Tasks into the HYDRO Benchmark

Jérémie Gaidamour, Dimitri Lecas, Pierre-François Lavallée

The HYDRO mini-application has been successfully used as a research vehicle in previous PRACE projects [6]. In this paper, we evaluate the benefits of the tasking model introduced…