output
20182025
most citedProperties of the tetravalent actinide series in aqueous phase from a microscopic simulation automated engine

18 citations

10 papers

cs.LG2025

Training Neural Networks at Any Scale

Thomas Pethick, Kimon Antonakopoulos, Antonio Silveti-Falls +2

This article reviews modern optimization methods for training neural networks with an emphasis on efficiency and scale. We present state-of-the-art optimization algorithms under a…

math.OC2025

Adaptive Conditional Gradient Descent

Abbas Khademi, Antonio Silveti-Falls

Selecting an effective step-size is a fundamental challenge in first-order optimization, especially for problems with non-Euclidean geometries. This paper presents a novel adaptive…

cs.LG2025

Enhanced Generative Model Evaluation with Clipped Density and Coverage

Nicolas Salvy, Hugues Talbot, Bertrand Thirion

Although generative models have made remarkable progress in recent years, their use in critical applications has been hindered by an inability to reliably evaluate the quality of t…

cond-mat.dis-nn2023

Multifractality in critical neural field dynamics

Merlin Dumeur, Sheng H. Wang, J. Matias Palva +1

The brain criticality hypothesis has largely only characterized brain dynamics in terms of their self-similarity, although experimental evidence suggests that the brain exhibits si…

physics.ins-det2023★ 2 cited

X-ray imaging with Micromegas detectors with optical readout

A. Cools, S. Aune, F. Beau +12

In the last years, optical readout of Micromegas gaseous detectors has been achieved by implementing a Micromegas detector on a glass anode coupled to a CMOS camera. Effective X-ra…

physics.ins-det2021★ 2 cited

Medica-Plus: a Micromegas-based proof-of-concept detector for sub-becquerel tritium activity assessment at the service of oncological research

F. Jambon, S. Aune, P. Baron +17

To fulfill needs in oncological research a new Micromegas detector has been developed to follow radiolabelled drugs in living organisms at the single cell level. This article descr…