Članki z zahtevami za javni dostop - Felipe TobarVeč o tem
Na voljo nekje: 11
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels
F Tobar, T Bui, R Turner
Neural Information Processing Systems 28, 2015
Zahteve: UK Engineering and Physical Sciences Research Council
Predicting nationwide obesity from food sales using machine learning
J Dunstan, M Aguirre, M Bastías, C Nau, TA Glass, F Tobar
Health Informatics Journal 26 (1), 652-663, 2020
Zahteve: US National Institutes of Health
Unsupervised State-Space Modelling Using Reproducing Kernels
F Tobar, PM Djuric, DP Mandic
IEEE Transactions on Signal Processing, In print, 2015
Zahteve: UK Engineering and Physical Sciences Research Council
Echo state network and variational autoencoder for efficient one-class learning on dynamical systems
D Cabrera, F Sancho, M Cerrada, RV Sánchez, F Tobar
Journal of Intelligent & Fuzzy Systems, 1-11, 2018
Zahteve: Government of Spain
Stochastic gradient descent for barycenters in Wasserstein space
J Backhoff, J Fontbona, G Rios, F Tobar
Journal of Applied Probability, 1-29, 2024
Zahteve: Austrian Science Fund
Design of Covariance Functions using Inter-Domain Inducing Variables
F Tobar, T Bui, R Turner
Time Series Workshop - NIPS 28, 2015
Zahteve: UK Engineering and Physical Sciences Research Council
Modelling of Complex Signals Using Gaussian Processes
F Tobar, RE Turner
IEEE ICASSP, 2015
Zahteve: UK Engineering and Physical Sciences Research Council
Bayesian Reconstruction of Fourier Pairs
F Tobar, L Araya-Hernández, P Huijse, PM Djurić
IEEE Transactions on Signal Processing 69, 73-87, 2020
Zahteve: US National Science Foundation
Detecting the periodicity of highly irregularly sampled light curves with Gaussian processes: the case of SDSS J025214. 67− 002813.7
S Covino, F Tobar, A Treves
Monthly Notices of the Royal Astronomical Society 513 (2), 2841-2849, 2022
Zahteve: Government of Italy
Design of Positive-Definite Quaternion Kernels
F Tobar, DP Mandic
IEEE Signal Processing Letters 22 (11), 2117 - 2121, 2015
Zahteve: UK Engineering and Physical Sciences Research Council
Combining reservoir computing and variational inference for efficient one-class learning on dynamical systems
D Cabrera, F Sancho, F Tobar
Sensing, Diagnostics, Prognostics, and Control (SDPC), 2017 International …, 2017
Zahteve: Government of Spain
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