Mauricio Alvarez
11 papers · 2008–2021 · 2 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (2) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge π Academic Marathon (13)
π
Conference Polyglot
(2)
π
Academic Marathon
(13)
π
Renaissance Researcher
(5)
π
Keyword Champion
(3)
π₯
Unstoppable
(5)
π
Century Club
(11)
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Trend Setter
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Conference Pioneer
Conferences
NIPS (9)
AISTATS (2)
Top co-authors
Keywords
gaussian process
(10)
variational inference
(8)
multi-task learning
(4)
multi-output regression
(3)
sparse approximation
(2)
convolution process
(2)
dynamical system
(2)
gaussian processes
(2)
latent force models
(2)
stochastic variational inference
(2)
bayesian inference
(1)
system identification
(1)
posterior inference
(1)
sensor networks
(1)
transfer learning
(1)
movement segmentation
(1)
time series
(1)
supervised learning
(1)
covariance
(1)
nonparametric bayesian
(1)
Papers
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features
NIPS 2021
Modular Gaussian Processes for Transfer Learning
NIPS 2021
Learning Nonparametric Volterra Kernels with Gaussian Processes
NIPS 2021
Black-Box Inference for Non-Linear Latent Force Models
AISTATS 2020
Multi-task Causal Learning with Gaussian Processes
NIPS 2020
Multi-task Learning for Aggregated Data using Gaussian Processes
NIPS 2019
Heterogeneous Multi-output Gaussian Process Prediction
NIPS 2018
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes
NIPS 2017
Switched Latent Force Models for Movement Segmentation
NIPS 2010
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
AISTATS 2010
Sparse Convolved Gaussian Processes for Multi-output Regression
NIPS 2008