Zobrazeno 1 - 6
of 6
pro vyhledávání: '"De la Fuente, Alfredo"'
We introduce a lightweight, flexible and end-to-end trainable probability density model parameterized by a constrained Fourier basis. We assess its performance at approximating a range of multi-modal 1D densities, which are generally difficult to fit
Externí odkaz:
http://arxiv.org/abs/2402.15345
Autor:
Denoyer, Ludovic, de la Fuente, Alfredo, Duong, Song, Gaya, Jean-Baptiste, Kamienny, Pierre-Alexandre, Thompson, Daniel H.
SaLinA is a simple library that makes implementing complex sequential learning models easy, including reinforcement learning algorithms. It is built as an extension of PyTorch: algorithms coded with \SALINA{} can be understood in few minutes by PyTor
Externí odkaz:
http://arxiv.org/abs/2110.07910
Autor:
Mosser, Lukas, Kimman, Wouter, Dramsch, Jesper, Purves, Steve, De la Fuente, Alfredo, Ganssle, Graham
Traditional physics-based approaches to infer sub-surface properties such as full-waveform inversion or reflectivity inversion are time-consuming and computationally expensive. We present a deep-learning technique that eliminates the need for these c
Externí odkaz:
http://arxiv.org/abs/1805.08826
Autor:
Iñiguez Robles, Sebastián Andrés, Ávila Díaz, Cristóbal, Román Sobarzo, Juan Carlos, Walton Díaz, Annerleim, Aliaga De la Fuente, Alfredo, Vega Avalos, Andrés, Orellana Sepúlveda, Sebastián, Vilches Paez, Roberto
Publikováno v:
Revista de Cirugia; 2024, Vol. 76 Issue 5, p464-474, 11p
Autor:
Aduviri, Robert, de La Fuente, Alfredo
We present a framework for learning disentangled representations with variational autoencoders in an unsupervised manner, which explicitly imposes sparsity and interpretability of the latent encodings. Leveraging ideas from Sparse Coding models, we c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::b5c78763ce6e1073a88521798ad0be55
https://hal.archives-ouvertes.fr/hal-02266937
https://hal.archives-ouvertes.fr/hal-02266937
Autor:
LÓPEZ DE LA FUENTE, Alfredo1, PÉREZ-GALDÓS ENRÍQUEZ DE SALAMANCA, Soledad2, TOMÁS MARTÍNEZ, Pedro3, TORIBIO RUBIO, Raúl4
Publikováno v:
Carreteras. may/jun2018, Issue 219, p14-24. 11p.