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Publications

Cette page présente les publications du Centre Borelli déposées sur le serveur HAL.

Affichage des publications 211 à 220 sur 1466 au total

Image Processing

Pair-dependent representations for Same-View Vehicle recognition

Deep metric learning approaches for object instance recognition struggle with generalization. To infer if two images are of the same instance, a representation is computed for each image, independently of the other. This is insufficient for reliably…

Anis Yassine Ben Mabrouk, Antoine Tadros, Axel Davy, Rafael Grompone von Gioi, Gabriele Facciolo

Artificial Intelligence

OneBatchPAM: A Fast and Frugal K-Medoids Algorithm

This paper proposes a novel k-medoids approximation algorithm to handle large-scale datasets with reasonable computational time and memory complexity. We develop a local-search algorithm that iteratively improves the medoid selection based on the…

Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

Proceedings of the 39th annual AAAI Conference on Artificial Intelligence -

Machine Learning

Conformal Approach to Gaussian Process Surrogate Evaluation with Coverage Guarantees

Gaussian processes (GPs) are a Bayesian machine learning (ML) approach widely used to construct surrogate models for the uncertainty quantification (UQ) of computer simulation codes in industrial applications. It provides both a mean predictor and…

Edgar Jaber, Vincent Blot, Nicolas Brunel, Vincent Chabridon, Emmauel Remy, Bertrand Iooss, Didier Lucor, Mathilde Mougeot, Alessandro Leite

Journal of Machine Learning for Modeling and Computing -

Environmental Sciences

Progress and trends in liquid hydrogen release

Liquid hydrogen (LH2) is a promising method for large-scale, long-distance storage and transportation of green energy. However, LH2 leaks pose significant safety risks, such as fire and explosion, due to the rapid formation of gaseous hydrogen…

Yanwei Liang, Ming He, Yongfeng Qu, Nan Peng, Jean-Michel Ghidaglia, Liqiang Liu

International Journal of Hydrogen Energy -

Life Sciences

Two-timepoint assays of neural responses increase the sensitivity and specificity of single-cell whole-brain activity screens

Current approaches for surveying whole brains for neurons activated during a particular state typically rely on immediate early gene (IEG) expression. However, IEG expression is variable across subjects and brain areas, demanding large sample sizes…

Alejandro Ramirez, Lydia Rogerson, Evan Kyzar, Chloé Berland, Erica Rodriguez, Juan Guerrero, Luke Hammond, Anthony Ferrante, C. Daniel Salzman