Felipe A. Tobar

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 51

Top Topics

Total Least Squares

Gaussian Process

Top Venues

IEEE Trans. Signal Process.

Publications

Jou-Hui Ho, Felipe A. Tobar
Greedy Online Change Point Detection. MLSP (2023)
Jou-Hui Ho, Felipe A. Tobar
Greedy online change point detection. CoRR (2023)
Felipe A. Tobar, Arnaud Robert, Jorge F. Silva
Gaussian process deconvolution. CoRR (2023)
Christopher P. Ley, Felipe A. Tobar
Asynchronous Graph Generators. CoRR (2023)
Felipe A. Tobar, Elsa Cazelles, Taco de Wolff
Computationally-efficient initialisation of GPs: The generalised variogram method. Trans. Mach. Learn. Res. 2023 (2023)
Víctor Caro, Jou-Hui Ho, Scarlet Witting, Felipe A. Tobar
Modeling Neonatal EEG Using Multi-Output Gaussian Processes. IEEE Access 10 (2022)
Jorge Silva, Felipe A. Tobar
On the Interplay between Information Loss and Operation Loss in Representations for Classification. AISTATS (2022)
Matías Altamirano, Felipe A. Tobar
Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures. AISTATS (2022)
Matías Altamirano, Felipe A. Tobar
Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures. CoRR (2022)
Felipe A. Tobar, Elsa Cazelles, Taco de Wolff
Computationally-efficient initialisation of GPs: The generalised variogram method. CoRR (2022)
Felipe A. Tobar, Rodrigo González
On machine learning and the replacement of human labour: anti-Cartesianism versus Babbage's path. AI Soc. 37 (4) (2022)
Alejandro Cuevas, Sebastián López, Danilo P. Mandic, Felipe A. Tobar
Bayesian autoregressive spectral estimation. LA-CCI (2021)
Elsa Cazelles, Felipe A. Tobar, Joaquín Fontbona
Streaming computation of optimal weak transport barycenters. CoRR (2021)
Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva
Data Science for Engineers: A Teaching Ecosystem. CoRR (2021)
Bryan Sagredo, Sonia Español-Jiménez, Felipe A. Tobar
Detection of blue whale vocalisations using a temporal-domain convolutional neural network. LA-CCI (2021)
Bryan Sagredo, Sonia Español-Jiménez, Felipe A. Tobar
Detection of blue whale vocalisations using a temporal-domain convolutional neural network. CoRR (2021)
Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar
MOGPTK: The multi-output Gaussian process toolkit. Neurocomputing 424 (2021)
Elsa Cazelles, Felipe A. Tobar, Joaquín Fontbona
A novel notion of barycenter for probability distributions based on optimal weak mass transport. NeurIPS (2021)
Elsa Cazelles, Arnaud Robert, Felipe A. Tobar
The Wasserstein-Fourier Distance for Stationary Time Series. IEEE Trans. Signal Process. 69 (2021)
Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva
Data Science for Engineers: A Teaching Ecosystem. IEEE Signal Process. Mag. 38 (3) (2021)
Jorge F. Silva, Felipe A. Tobar, Mario Vicuña, Felipe Cordova
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification. CoRR (2021)
Diego León, Felipe A. Tobar
Late reverberation suppression using U-nets. CoRR (2021)
Felipe A. Tobar, Lerko Araya-Hernández, Pablo Huijse, Petar M. Djuric
Bayesian Reconstruction of Fourier Pairs. IEEE Trans. Signal Process. 69 (2021)
Jocelyn Dunstan, Marcela Aguirre, Magdalena Bastías, Claudia Nau, Thomas A. Glass, Felipe A. Tobar
Predicting nationwide obesity from food sales using machine learning. Health Informatics J. 26 (1) (2020)
Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar
Gaussian process imputation of multiple financial series. CoRR (2020)
Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar
Gaussian Process Imputation of Multiple Financial Series. ICASSP (2020)
Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar
MOGPTK: The Multi-Output Gaussian Process Toolkit. CoRR (2020)
Felipe A. Tobar
Band-Limited Gaussian Processes: The Sinc Kernel. NeurIPS (2019)
Cristobal Valenzuela, Felipe A. Tobar
Low-pass filtering as Bayesian inference. CoRR (2019)
Felipe A. Tobar
Band-Limited Gaussian Processes: The Sinc Kernel. CoRR (2019)
Elsa Cazelles, Arnaud Robert, Felipe A. Tobar
The Wasserstein-Fourier Distance for Stationary Time Series. CoRR (2019)
Gonzalo Rios, Felipe A. Tobar
Compositionally-warped Gaussian processes. Neural Networks 118 (2019)
Felipe A. Tobar, Gonzalo Rios
Compositionally-Warped Gaussian Processes. CoRR (2019)
Cristóbal Valenzuela, Felipe A. Tobar
Low-pass Filtering as Bayesian Inference. ICASSP (2019)
Felipe A. Tobar, Iván Castro, Jorge F. Silva, Marcos E. Orchard
Improving battery voltage prediction in an electric bicycle using altitude measurements and kernel adaptive filters. Pattern Recognit. Lett. 105 (2018)
Diego Cabrera, Fernando Sancho, Mariela Cerrada, René-Vinicio Sánchez, Felipe A. Tobar
Echo state network and variational autoencoder for efficient one-class learning on dynamical systems. J. Intell. Fuzzy Syst. 34 (6) (2018)
Felipe A. Tobar
Bayesian Nonparametric Spectral Estimation. NeurIPS (2018)
Gonzalo Rios, Julio D. Backhoff Veraguas, Joaquín Fontbona, Felipe A. Tobar
Bayesian Learning with Wasserstein Barycenters. CoRR (2018)
Gonzalo Rios, Felipe A. Tobar
Learning non-Gaussian Time Series using the Box-Cox Gaussian Process. CoRR (2018)
Barbara Poblete, Jheser Guzman, Jazmine A. Maldonado Flores, Felipe A. Tobar
Robust Detection of Extreme Events Using Twitter: Worldwide Earthquake Monitoring. IEEE Trans. Multim. 20 (10) (2018)
Gonzalo Rios, Felipe A. Tobar
Learning non-Gaussian Time Series using the Box-Cox Gaussian Process. IJCNN (2018)
Felipe A. Tobar
Bayesian Nonparametric Spectral Estimation. CoRR (2018)
Gabriel Parra, Felipe A. Tobar
Spectral Mixture Kernels for Multi-Output Gaussian Processes. NIPS (2017)
Gabriel Parra, Felipe A. Tobar
Spectral Mixture Kernels for Multi-Output Gaussian Processes. CoRR (2017)
Iván Castro, Cristóbal Silva, Felipe A. Tobar
Initialising kernel adaptive filters via probabilistic inference. DSP (2017)
Felipe A. Tobar
Improving sparsity in kernel adaptive filters using a unit-norm dictionary. DSP (2017)
Felipe A. Tobar, Gonzalo Rios, Tomas Valdivia, Pablo Guerrero
Recovering Latent Signals From a Mixture of Measurements Using a Gaussian Process Prior. IEEE Signal Process. Lett. 24 (2) (2017)
Felipe A. Tobar
Improving Sparsity in Kernel Adaptive Filters Using a Unit-Norm Dictionary. CoRR (2017)
Iván Castro, Cristóbal Silva, Felipe A. Tobar
Initialising Kernel Adaptive Filters via Probabilistic Inference. CoRR (2017)
Felipe A. Tobar, Gonzalo Rios, Tomas Valdivia, Pablo Guerrero
Recovering Latent Signals from a Mixture of Measurements using a Gaussian Process Prior. CoRR (2017)
Felipe A. Tobar, Richard E. Turner
Modelling time series via automatic learning of basis functions. SAM (2016)
Felipe A. Tobar, Thang D. Bui, Richard E. Turner
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels. NIPS (2015)
Felipe A. Tobar, Richard E. Turner
Modelling of complex signals using gaussian processes. ICASSP (2015)
Felipe A. Tobar, Petar M. Djuric, Danilo P. Mandic
Unsupervised State-Space Modeling Using Reproducing Kernels. IEEE Trans. Signal Process. 63 (19) (2015)
Felipe A. Tobar, Danilo P. Mandic
Design of Positive-Definite Quaternion Kernels. IEEE Signal Process. Lett. 22 (11) (2015)
Thiannithi Thanthawaritthisai, Felipe A. Tobar, Anthony G. Constantinides, Danilo P. Mandic
The widely linear quaternion recursive total least squares. ICASSP (2015)
Felipe A. Tobar, Marcos E. Orchard, Danilo P. Mandic, Anthony G. Constantinides
Estimation of financial indices volatility using a model with time-varying parameters. CIFEr (2014)
Felipe A. Tobar, Danilo P. Mandic
Quaternion Reproducing Kernel Hilbert Spaces: Existence and Uniqueness Conditions. IEEE Trans. Inf. Theory 60 (9) (2014)
Felipe A. Tobar, Sun-Yuan Kung, Danilo P. Mandic
Multikernel Least Mean Square Algorithm. IEEE Trans. Neural Networks Learn. Syst. 25 (2) (2014)
Felipe A. Tobar, Danilo P. Mandic
A particle filtering based kernel HMM predictor. ICASSP (2014)
Felipe A. Tobar, Danilo P. Mandic
The quaternion kernel least squares. ICASSP (2013)
Felipe A. Tobar, Anthony Kuh, Danilo P. Mandic
A novel augmented complex valued kernel LMS. SAM (2012)
Felipe A. Tobar, Luis Yacher, Rodrigo Paredes, Marcos E. Orchard
Anomaly detection in power generation plants using similarity-based modeling and multivariate analysis. ACC (2011)