Pablo Moreno-Muñoz
8 papers · 2018–2024 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(23)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(7)
Bayesian & Probabilistic · Machine Learning
(5)
Deep Learning
(4)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Models
(3)
Mathematics & Optimization
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Mathematics
(2)
Architectures
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
gaussian process
(5)
variational inference
(5)
bayesian neural network
(2)
bayesian inference
(2)
laplace approximation
(2)
self-supervised learning
(1)
exact inference
(1)
multi-task learning
(1)
variational autoencoder
(1)
transfer learning
(1)
marginal likelihood
(1)
gradient computation
(1)
riemannian metric
(1)
posterior approximation
(1)
stochastic variational inference
(1)
model evidence
(1)
latent representation
(1)
ensemble method
(1)
automatic differentiation
(1)
learning theory
(1)
Papers
Gradients of Functions of Large Matrices
NeurIPS 2024
Adaptive Cholesky Gaussian Processes
AISTATS 2023
On Masked Pre-training and the Marginal Likelihood
NeurIPS 2023
Riemannian Laplace approximations for Bayesian neural networks
NeurIPS 2023
Laplacian Autoencoders for Learning Stochastic Representations
NeurIPS 2022
Revisiting Active Sets for Gaussian Process Decoders
NeurIPS 2022
Modular Gaussian Processes for Transfer Learning
NeurIPS 2021
Heterogeneous Multi-output Gaussian Process Prediction
NeurIPS 2018