Felipe A. Tobar

64 papers A* 3A 2B 1C 1Misc 6Journal 40Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Detection of Manatee Vocalisations Using the Audio Spectrogram Transformer. MLSP Stefano Schiappacasse, Taco de Wolff, Yann Henaut, Regina Cervera, Aviva Charles, Felipe A. Tobar
2023	J	`jnl`	Asynchronous Graph Generators. CoRR Christopher P. Ley, Felipe A. Tobar
2023	J	`jnl`	Computationally-efficient initialisation of GPs: The generalised variogram method. Trans. Mach. Learn. Res. Felipe A. Tobar, Elsa Cazelles, Taco de Wolff
2023	J	`jnl`	Gaussian process deconvolution. CoRR Felipe A. Tobar, Arnaud Robert, Jorge F. Silva
2023	—	`conf`	Greedy Online Change Point Detection. MLSP Jou-Hui Ho, Felipe A. Tobar
2023	J	`jnl`	Greedy online change point detection. CoRR Jou-Hui Ho, Felipe A. Tobar
2022	J	`jnl`	Computationally-efficient initialisation of GPs: The generalised variogram method. CoRR Felipe A. Tobar, Elsa Cazelles, Taco de Wolff
2022	J	`jnl`	Modeling Neonatal EEG Using Multi-Output Gaussian Processes. IEEE Access Víctor Caro, Jou-Hui Ho, Scarlet Witting, Felipe A. Tobar
2022	A	`conf`	Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures. AISTATS Matías Altamirano, Felipe A. Tobar
2022	J	`jnl`	Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures. CoRR Matías Altamirano, Felipe A. Tobar
2022	J	`jnl`	On machine learning and the replacement of human labour: anti-Cartesianism versus Babbage's path. AI Soc. Felipe A. Tobar, Rodrigo González
2022	A	`conf`	On the Interplay between Information Loss and Operation Loss in Representations for Classification. AISTATS Jorge Silva, Felipe A. Tobar
2021	A*	`conf`	A novel notion of barycenter for probability distributions based on optimal weak mass transport. NeurIPS Elsa Cazelles, Felipe A. Tobar, Joaquín Fontbona
2021	J	`jnl`	Bayesian Reconstruction of Fourier Pairs. IEEE Trans. Signal Process. Felipe A. Tobar, Lerko Araya-Hernández, Pablo Huijse, Petar M. Djuric
2021	—	`conf`	Bayesian autoregressive spectral estimation. LA-CCI Alejandro Cuevas, Sebastián López, Danilo P. Mandic, Felipe A. Tobar
2021	J	`jnl`	Data Science for Engineers: A Teaching Ecosystem. CoRR Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva
2021	J	`jnl`	Data Science for Engineers: A Teaching Ecosystem. IEEE Signal Process. Mag. Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva
2021	—	`conf`	Detection of blue whale vocalisations using a temporal-domain convolutional neural network. LA-CCI Bryan Sagredo, Sonia Español-Jiménez, Felipe A. Tobar
2021	J	`jnl`	Detection of blue whale vocalisations using a temporal-domain convolutional neural network. CoRR Bryan Sagredo, Sonia Español-Jiménez, Felipe A. Tobar
2021	J	`jnl`	Late reverberation suppression using U-nets. CoRR Diego León, Felipe A. Tobar
2021	J	`jnl`	MOGPTK: The multi-output Gaussian process toolkit. Neurocomputing Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar
2021	J	`jnl`	Streaming computation of optimal weak transport barycenters. CoRR Elsa Cazelles, Felipe A. Tobar, Joaquín Fontbona
2021	J	`jnl`	Studying the Interplay between Information Loss and Operation Loss in Representations for Classification. CoRR Jorge F. Silva, Felipe A. Tobar, Mario Vicuña, Felipe Cordova
2021	J	`jnl`	The Wasserstein-Fourier Distance for Stationary Time Series. IEEE Trans. Signal Process. Elsa Cazelles, Arnaud Robert, Felipe A. Tobar
2020	Misc	`conf`	Gaussian Process Imputation of Multiple Financial Series. ICASSP Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar
2020	J	`jnl`	Gaussian process imputation of multiple financial series. CoRR Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar
2020	J	`jnl`	MOGPTK: The Multi-Output Gaussian Process Toolkit. CoRR Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar
2020	J	`jnl`	Predicting nationwide obesity from food sales using machine learning. Health Informatics J. Jocelyn Dunstan, Marcela Aguirre, Magdalena Bastías, Claudia Nau, Thomas A. Glass, Felipe A. Tobar
2019	A*	`conf`	Band-Limited Gaussian Processes: The Sinc Kernel. NeurIPS Felipe A. Tobar
2019	J	`jnl`	Band-Limited Gaussian Processes: The Sinc Kernel. CoRR Felipe A. Tobar
2019	J	`jnl`	Compositionally-Warped Gaussian Processes. CoRR Felipe A. Tobar, Gonzalo Rios
2019	J	`jnl`	Compositionally-warped Gaussian processes. Neural Networks Gonzalo Rios, Felipe A. Tobar
2019	Misc	`conf`	Low-pass Filtering as Bayesian Inference. ICASSP Cristóbal Valenzuela, Felipe A. Tobar
2019	J	`jnl`	Low-pass filtering as Bayesian inference. CoRR Cristobal Valenzuela, Felipe A. Tobar
2019	J	`jnl`	The Wasserstein-Fourier Distance for Stationary Time Series. CoRR Elsa Cazelles, Arnaud Robert, Felipe A. Tobar
2018	J	`jnl`	Bayesian Learning with Wasserstein Barycenters. CoRR Gonzalo Rios, Julio D. Backhoff Veraguas, Joaquín Fontbona, Felipe A. Tobar
2018	A*	`conf`	Bayesian Nonparametric Spectral Estimation. NeurIPS Felipe A. Tobar
2018	J	`jnl`	Bayesian Nonparametric Spectral Estimation. CoRR Felipe A. Tobar
2018	J	`jnl`	Echo state network and variational autoencoder for efficient one-class learning on dynamical systems. J. Intell. Fuzzy Syst. Diego Cabrera, Fernando Sancho, Mariela Cerrada, René-Vinicio Sánchez, Felipe A. Tobar
2018	J	`jnl`	Improving battery voltage prediction in an electric bicycle using altitude measurements and kernel adaptive filters. Pattern Recognit. Lett. Felipe A. Tobar, Iván Castro, Jorge F. Silva, Marcos E. Orchard
2018	B	`conf`	Learning non-Gaussian Time Series using the Box-Cox Gaussian Process. IJCNN Gonzalo Rios, Felipe A. Tobar
2018	J	`jnl`	Learning non-Gaussian Time Series using the Box-Cox Gaussian Process. CoRR Gonzalo Rios, Felipe A. Tobar
2018	J	`jnl`	Robust Detection of Extreme Events Using Twitter: Worldwide Earthquake Monitoring. IEEE Trans. Multim. Barbara Poblete, Jheser Guzman, Jazmine A. Maldonado Flores, Felipe A. Tobar
2017	J	`jnl`	Improving Sparsity in Kernel Adaptive Filters Using a Unit-Norm Dictionary. CoRR Felipe A. Tobar
2017	—	`conf`	Improving sparsity in kernel adaptive filters using a unit-norm dictionary. DSP Felipe A. Tobar
2017	J	`jnl`	Initialising Kernel Adaptive Filters via Probabilistic Inference. CoRR Iván Castro, Cristóbal Silva, Felipe A. Tobar
2017	—	`conf`	Initialising kernel adaptive filters via probabilistic inference. DSP Iván Castro, Cristóbal Silva, Felipe A. Tobar
2017	J	`jnl`	Recovering Latent Signals From a Mixture of Measurements Using a Gaussian Process Prior. IEEE Signal Process. Lett. Felipe A. Tobar, Gonzalo Rios, Tomas Valdivia, Pablo Guerrero
2017	J	`jnl`	Recovering Latent Signals from a Mixture of Measurements using a Gaussian Process Prior. CoRR Felipe A. Tobar, Gonzalo Rios, Tomas Valdivia, Pablo Guerrero
2017	—	`conf`	Spectral Mixture Kernels for Multi-Output Gaussian Processes. NIPS Gabriel Parra, Felipe A. Tobar
2017	J	`jnl`	Spectral Mixture Kernels for Multi-Output Gaussian Processes. CoRR Gabriel Parra, Felipe A. Tobar
2016	—	`conf`	Modelling time series via automatic learning of basis functions. SAM Felipe A. Tobar, Richard E. Turner
2015	J	`jnl`	Design of Positive-Definite Quaternion Kernels. IEEE Signal Process. Lett. Felipe A. Tobar, Danilo P. Mandic
2015	—	`conf`	Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels. NIPS Felipe A. Tobar, Thang D. Bui, Richard E. Turner
2015	Misc	`conf`	Modelling of complex signals using gaussian processes. ICASSP Felipe A. Tobar, Richard E. Turner
2015	Misc	`conf`	The widely linear quaternion recursive total least squares. ICASSP Thiannithi Thanthawaritthisai, Felipe A. Tobar, Anthony G. Constantinides, Danilo P. Mandic
2015	J	`jnl`	Unsupervised State-Space Modeling Using Reproducing Kernels. IEEE Trans. Signal Process. Felipe A. Tobar, Petar M. Djuric, Danilo P. Mandic
2014	Misc	`conf`	A particle filtering based kernel HMM predictor. ICASSP Felipe A. Tobar, Danilo P. Mandic
2014	—	`conf`	Estimation of financial indices volatility using a model with time-varying parameters. CIFEr Felipe A. Tobar, Marcos E. Orchard, Danilo P. Mandic, Anthony G. Constantinides
2014	J	`jnl`	Multikernel Least Mean Square Algorithm. IEEE Trans. Neural Networks Learn. Syst. Felipe A. Tobar, Sun-Yuan Kung, Danilo P. Mandic
2014	J	`jnl`	Quaternion Reproducing Kernel Hilbert Spaces: Existence and Uniqueness Conditions. IEEE Trans. Inf. Theory Felipe A. Tobar, Danilo P. Mandic
2013	Misc	`conf`	The quaternion kernel least squares. ICASSP Felipe A. Tobar, Danilo P. Mandic
2012	—	`conf`	A novel augmented complex valued kernel LMS. SAM Felipe A. Tobar, Anthony Kuh, Danilo P. Mandic
2011	C	`conf`	Anomaly detection in power generation plants using similarity-based modeling and multivariate analysis. ACC Felipe A. Tobar, Luis Yacher, Rodrigo Paredes, Marcos E. Orchard