Mauricio Alvarez
12 papers · 2005–2021 · 2 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (21) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🏆
Keyword Champion
(2)
🔬
Deep Specialist
(10)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(10)
Optimization & Theory
(10)
Bayesian & Probabilistic · Artificial Intelligence
(9)
Bayesian & Probabilistic · Machine Learning
(8)
Core Methods
(6)
Learning Types · Machine Learning
(3)
Deep Learning
(2)
Core AI
(2)
Learning Paradigms
(2)
Knowledge & Reasoning
(1)
Robotics
(1)
Applications
(1)
Capabilities
(1)
Learning Types · Deep Learning
(1)
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
NeurIPS 2021
Learning Nonparametric Volterra Kernels with Gaussian Processes
NeurIPS 2021
Modular Gaussian Processes for Transfer Learning
NeurIPS 2021
Black-Box Inference for Non-Linear Latent Force Models
AISTATS 2020
Multi-task Causal Learning with Gaussian Processes
NeurIPS 2020
Multi-task Learning for Aggregated Data using Gaussian Processes
NeurIPS 2019
Heterogeneous Multi-output Gaussian Process Prediction
NeurIPS 2018
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes
NeurIPS 2017
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
AISTATS 2010
Switched Latent Force Models for Movement Segmentation
NeurIPS 2010
Sparse Convolved Gaussian Processes for Multi-output Regression
NeurIPS 2008
Latent Force Models
AISTATS 2005