Pablo A. Alvarado

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All published works

Action	Title	Year	Authors
+	Modelling calibration uncertainty in networks of environmental sensors	2022	Michael Thomas Smith Magnus Ross Joel Ssematimba Pablo A. Alvarado Mauricio Alverez Engineer Bainomugisha R. Wilkinson
+ PDF Chat	Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain	2019	Pablo A. Alvarado Mauricio A. Álvarez Dan Stowell
+	Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-Domain	2018	Pablo A. Alvarado Mauricio A. Álvarez Dan Stowell
+	Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music	2017	Pablo A. Alvarado Dan Stowell
+ PDF Chat	Gaussian processes for music audio modelling and content analysis	2016	Pablo A. Alvarado Dan Stowell
+	A Three Spatial Dimension Wave Latent Force Model for Describing Excitation Sources and Electric Potentials Produced by Deep Brain Stimulation	2016	Pablo A. Alvarado Mauricio A. Álvarez Álvaro Á. Orozco
+	Gaussian Processes for Music Audio Modelling and Content Analysis	2016	Pablo A. Alvarado Dan Stowell
+	A Three Spatial Dimension Wave Latent Force Model for Describing Excitation Sources and Electric Potentials Produced by Deep Brain Stimulation	2016	Pablo A. Alvarado Mauricio A. Álvarez Álvaro Á. Orozco

Common Coauthors

Coauthor	Papers Together
Dan Stowell	5
Mauricio A. Álvarez	4
Álvaro A. Orozco	2
Michael Thomas Smith	1
Magnus Ross	1
Engineer Bainomugisha	1
Mauricio Alverez	1
Joel Ssematimba	1
R. Wilkinson	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Linear Latent Force Models Using Gaussian Processes	2013	Mauricio A. Álvarez David Luengo Neil D. Lawrence	3
+	Gaussian Process Kernels for Pattern Discovery and Extrapolation	2013	Andrew Gordon Wilson Ryan P. Adams	2
+	Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music	2017	Pablo A. Alvarado Dan Stowell	2
+	Automatic Construction and Natural-Language Description of Nonparametric Regression Models	2014	James Robert Lloyd David Duvenaud Roger Grosse Joshua B. Tenenbaum Zoubin Ghahramani	2
+	Variational Fourier features for Gaussian processes	2016	James Hensman Nicolas Durrande Arno Solin	1
+	Gaussian Processes for Big Data	2013	James Hensman Nicolò Fusi Neil D. Lawrence	1
+	Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis	2011	Zenglin Xu Yan Feng Alan Qi	1
+ PDF Chat	Adversarial Semi-Supervised Audio Source Separation Applied to Singing Voice Extraction	2018	Daniel Stoller Sebastian Ewert Simon Dixon	1
+	Variational Inference: A Review for Statisticians	2017	David M. Blei Alp Kucukelbir Jon McAuliffe	1
+	Handbook of linear partial differential equations for engineers and scientists	2002		1
+	Gaussian processes for Big data	2013	James Hensman Nicolò Fusi Neil D. Lawrence	1
+	GPflow: A Gaussian process library using TensorFlow	2016	Alexander Matthews Mark van der Wilk Tom Nickson Keisuke Fujii Alexis Boukouvalas Pablo León-Villagrá Zoubin Ghahramani James Hensman	1
+ PDF Chat	Automatic Construction and Natural-Language Description of Nonparametric Regression Models	2014	James Robert Lloyd David Duvenaud Roger Grosse Joshua B. Tenenbaum Zoubin Ghahramani	1
+ PDF Chat	An End-to-End Neural Network for Polyphonic Piano Music Transcription	2016	Siddharth Sigtia Emmanouil Benetos Simon Dixon	1
+	Gaussian Processes for Music Audio Modelling and Content Analysis	2016	Pablo A. Alvarado Dan Stowell	1