Felipe Tobar
8 papers · 2015–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (9) π Cross-Pollinator (11)
πΊοΈ
Taxonomy Completionist
(23)
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
π
Trend Setter
Conferences
NIPS (5)
AISTATS (2)
JMLR (1)
Top co-authors
Keywords
gaussian process
(5)
kernel methods
(3)
multi-output learning
(2)
bayesian inference
(2)
spectral density
(2)
information theory
(2)
representation learning
(2)
mutual information
(1)
time series
(1)
feature extraction
(1)
posterior distribution
(1)
signal reconstruction
(1)
variational inference
(1)
probability distribution
(1)
spectral analysis
(1)
signal processing
(1)
bayesian regression
(1)
probability of error
(1)
multi-output regression
(1)
optimal transport
(1)
Papers
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
JMLR 2024
Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures
AISTATS 2022
On the Interplay between Information Loss and Operation Loss in Representations for Classification
AISTATS 2022
A novel notion of barycenter for probability distributions based on optimal weak mass transport
NIPS 2021
Band-Limited Gaussian Processes: The Sinc Kernel
NIPS 2019
Bayesian Nonparametric Spectral Estimation
NIPS 2018
Spectral Mixture Kernels for Multi-Output Gaussian Processes
NIPS 2017
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels
NIPS 2015