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pro vyhledávání: '"Almudévar, P"'
Representation learning is an approach that allows to discover and extract the factors of variation from the data. Intuitively, a representation is said to be disentangled if it separates the different factors of variation in a way that is understand
Externí odkaz:
http://arxiv.org/abs/2408.07016
Autor:
Almudévar, Antonio, Mariotte, Théo, Ortega, Alfonso, Tahon, Marie, Vicente, Luis, Miguel, Antonio, Lleida, Eduardo
Prototypical Learning is based on the idea that there is a point (which we call prototype) around which the embeddings of a class are clustered. It has shown promising results in scenarios with little labeled data or to design explainable models. Typ
Externí odkaz:
http://arxiv.org/abs/2406.16145
Audio segmentation is a key task for many speech technologies, most of which are based on neural networks, usually considered as black boxes, with high-level performances. However, in many domains, among which health or forensics, there is not only a
Externí odkaz:
http://arxiv.org/abs/2406.13385
Bayesian network (BN) structure discovery algorithms typically either make assumptions about the sparsity of the true underlying network, or are limited by computational constraints to networks with a small number of variables. While these sparsity a
Externí odkaz:
http://arxiv.org/abs/2307.06406
A Bayesian Network (BN) is a probabilistic model that represents a set of variables using a directed acyclic graph (DAG). Current algorithms for learning BN structures from data focus on estimating the edges of a specific DAG, and often lead to many
Externí odkaz:
http://arxiv.org/abs/2210.07962
Autor:
Almudevar, Anthony
In this paper we define contractive and nonexpansive properties for adapted stochastic processes $X_1, X_2, \ldots $ which can be used to deduce limiting properties. In general, nonexpansive processes possess finite limits while contractive processes
Externí odkaz:
http://arxiv.org/abs/2207.00618
Autor:
Pérez Lucendo, A., Piñeiro Otero, P., Matía Almudévar, P., Alcántara Carmona, S., López López, E., Ramasco Rueda, F.
Publikováno v:
In Revista Española de Anestesiología y Reanimación (English Edition) November 2023 70(9):509-535
Autor:
Pérez Lucendo, A., Piñeiro Otero, P., Matía Almudévar, P., Alcántara Carmona, S., López López, E., Ramasco Rueda, F.
Publikováno v:
In Revista Española de Anestesiología y Reanimación November 2023 70(9):509-535
Akademický článek
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Publikováno v:
Sensors, Vol 22, Iss 17, p 6515 (2022)
Distributed acoustic sensors (DASs) based on direct-detection Φ-OTDR use the light–matter interaction between light pulses and optical fiber to detect mechanical events in the fiber environment. The signals received in Φ-OTDR come from the cohere
Externí odkaz:
https://doaj.org/article/97b3efaf13c6486e9cc629f28e3f3fa4