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Prise en charge des accidents de service et prescription quadriennale des réclamations indemnitaires fondées sur la responsabilité sans faute
No full textInternational audienceNote sous CAA Douai, 25 juin 2025, no 24DA0030
Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms
No full textVLSF Decoding with Reliability Guarantees over Correlated Noncoherent Fading Channels
No full textThis report studies reliability-guaranteed decoding for variable-length stop-feedback (VLSF) codes over correlated noncoherent fading channels. The decoding rule is based on the evolution of the information density associated with a channel input-output realization. Due to channel memory, exact evaluation of this information density is intractable. To enable a constructive decoding, computable finite-blocklength lower and upper bounds on the information density that hold uniformly over time along each input-output sequence are derived. The lower bound enables a stopping-time analysis for VLSF decoding and has an operational meaning, while the upper bound quantifies the relaxation gap. Moreover, the relaxation gap between the bounds is explicitly characterized. For Gaussian signaling, the stopping-time distribution and the impact of fading correlation on decoding performance are numerically studied
La situation de l'agent contractuel en cas de transformation du besoin ou de l'emploi qui a justifié son recrutement
No full textInternational audienceNote sous TA Amiens, 4 juin 2025, no 220335
Independent impacts of age and telomere length on oyster sperm motility
No full textInternational audienceAging often goes with the deterioration of gamete quality. However, alteration of male sperm quality alongside age is not univocal between species, and this relationship remains largely elusive in bivalve molluscs. Here, we questioned whether ageing attenuates sperm motility and if telomere length (TL), a marker of individual quality, can further mark sperm performance in the Pacific oysters (Crassostrea gigas). We assessed covariation between sperm motility, age and TL in males (n = 45) from 2 to 9 years old. We replicated the measures at four reproductive sessions, corresponding to two types of maturation conditions (controlled in the lab or natural in the field). We found negative correlations between male age and sperm velocity, and slower sperm in natural conditions compared to controlled ones. TL did not shorten with age, but it was positively associated with sperm velocity while maturing under controlled conditions. Our results underscore that sperm swimming performance decreases with ageing, a relationship identified for the first time in a bivalve species. Further research is needed to understand environmental effects and the predictive aspects of telomere dynamics in covarying with sperm quality
Empirical Risk Minimization with f -Divergence Regularization
No full textIn this paper, the solution to the empirical risk minimization problem with f-divergence regularization (ERM-f DR) is presented and conditions under which the solution also serves as the solution to the minimization of the expected empirical risk subject to an f -divergence constraint are established. The proposed approach extends applicability to a broader class of f -divergences than previously reported and yields theoretical results that recover previously known results. Additionally, the difference between the expected empirical risk of the ERMf DR solution and that of its reference measure is characterized, providing insights into previously studied cases of f -divergences. A central contribution is the introduction of the normalization function, a mathematical object that is critical in both the dual formulation and practical computation of the ERM-f DR solution. This work presents an implicit characterization of the normalization function as a nonlinear ordinary differential equation (ODE), establishes its key properties, and subsequently leverages them to construct a numerical algorithm for approximating the normalization factor under mild assumptions. Further analysis demonstrates structural equivalences between ERM-f DR problems with different f -divergences via transformations of the empirical risk. Finally, the proposed algorithm is used to compute the training and test risks of ERM-f DR solutions under different f -divergence regularizers. This numerical example highlights the practical implications of choosing different functions f in ERMf DR problems
