5 papers

cs.DB2026

Multimodal Embeddings for 3D Similarity Search in Semantic Web-of-Things Digital-Twin Platforms

Oussama Zaid, Romaric Gaudel, Hassan Thomas +2

Semantic Web of Things (SWoT) platforms model physical infrastructure as knowledge graphs typed against domain ontologies, enabling expressive structural and logical queries. Howev…

cs.LG2026

Proximal basin hopping: global optimization with guarantees

Guillaume Lauga, Cesare Molinari, Samuel Vaiter

Global optimization is a challenging problem, with plenty of algorithms displaying empirical success, but scarce theoretical backing. In this work, we propose a new theoretical fra…

stat.ML2026

PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers

Julien Bastian, Benjamin Leblanc, Pascal Germain +5

Classical PAC generalization bounds on the prediction risk of a classifier are insufficient to provide theoretical guarantees on fairness when the goal is to learn models balancing…

cs.AI2026

Geometry-induced Regularization in Deep ReLU Neural Networks

Joachim Bona-Pellissier, François Malgouyres, François Bachoc

Neural networks with a large number of parameters often do not overfit, owing to implicit regularization that favors \lq good\rq{} networks. Other related and puzzling phenomena in…

cs.LG2025

Robust Detection of Synthetic Tabular Data under Schema Variability

G. Charbel N. Kindji, Elisa Fromont, Lina Maria Rojas-Barahona +1

The rise of powerful generative models has sparked concerns over data authenticity. While detection methods have been extensively developed for images and text, the case of tabular…