Zobrazeno 1 - 10
of 1 683
pro vyhledávání: '"Nazabal, A."'
Autor:
Petricek, Tomas, Burg, Gerrit J. J. van den, Nazábal, Alfredo, Ceritli, Taha, Jiménez-Ruiz, Ernesto, Williams, Christopher K. I.
Data wrangling tasks such as obtaining and linking data from various sources, transforming data formats, and correcting erroneous records, can constitute up to 80% of typical data engineering work. Despite the rise of machine learning and artificial
Externí odkaz:
http://arxiv.org/abs/2211.00192
Publikováno v:
Neural Computation 35(4) (2023) 727-761
Capsule networks (see e.g. Hinton et al., 2018) aim to encode knowledge of and reason about the relationship between an object and its parts. In this paper we specify a generative model for such data, and derive a variational algorithm for inferring
Externí odkaz:
http://arxiv.org/abs/2209.03115
Autor:
Carcreff, Julie, Nazabal, Virginie, Troles, Johann, Boussard-Plédel, Catherine, Masselin, Pascal, Starecki, Florent, Braud, Alain, Camy, Patrice, Coq, David Le
Publikováno v:
Photonics 2022, 9, 549
With the ultimate goal of developing rare-earth doped chalcogenide fiber fabrication for sensing, amplification, and laser applications, a core/clad germanium-gallium sulfide fiber doped with Pr$^{3+}$ has been fabricated. The compositions of the cor
Externí odkaz:
http://arxiv.org/abs/2208.11046
Data cleaning often comprises outlier detection and data repair. Systematic errors result from nearly deterministic transformations that occur repeatedly in the data, e.g. specific image pixels being set to default values or watermarks. Consequently,
Externí odkaz:
http://arxiv.org/abs/2207.08050
Publikováno v:
In Biochemical Pharmacology December 2024 230 Part 3
Publikováno v:
In Ceramics International 15 September 2024 50(18) Part A:32812-32817
Capsule networks (see e.g. Hinton et al., 2018) aim to encode knowledge and reason about the relationship between an object and its parts. In this paper we specify a \emph{generative} model for such data, and derive a variational algorithm for inferr
Externí odkaz:
http://arxiv.org/abs/2103.06676
Autor:
Verger, Louisiane, Ganesaratnam, Vinuyan, Nazabal, Virginie, Chenu, Sébastien, Calers, Christophe, Coq, David Le, Calvez, Laurent, Hernandez, Olivier, Zhang, Xiang-Hua
Publikováno v:
In Journal of Non-Crystalline Solids 15 January 2024 624
Autor:
Kotrla, M., Segawa, H., Ohsawa, T., Matsushita, Y., Janíček, P., Gutwirth, J., Nazabal, V., Drašar, Č., Němec, P.
Publikováno v:
In Ceramics International November 2024
Real world datasets often contain entries with missing elements e.g. in a medical dataset, a patient is unlikely to have taken all possible diagnostic tests. Variational Autoencoders (VAEs) are popular generative models often used for unsupervised le
Externí odkaz:
http://arxiv.org/abs/2006.05301