Manuel Pulido

According to our database, Manuel Pulido authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Online machine-learning forecast uncertainty estimation for sequential data assimilation.

Maximiliano A. Sacco, Manuel Pulido, Juan J. Ruiz, Pierre Tandeo

CoRR, 2023

2021

Model Error Estimation Using the Expectation Maximization Algorithm and a Particle Flow Filter.

María Magdalena Lucini, Peter Jan van Leeuwen, Manuel Pulido

SIAM/ASA J. Uncertain. Quantification, 2021

Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification.

Maximiliano A. Sacco, Juan J. Ruiz, Manuel Pulido, Pierre Tandeo

CoRR, 2021

2020

A new Framework for Causal Discovery.

Peter Jan van Leeuwen, Michael DeCaria, Nachiketa Chakaborty, Manuel Pulido

CoRR, 2020

2019

Sequential Monte Carlo with kernel embedded mappings: The mapping particle filter.

Manuel Pulido, Peter Jan van Leeuwen

J. Comput. Phys., 2019

Kernel Embedded Nonlinear Observational Mappings in the Variational Mapping Particle Filter.

Manuel Pulido, Peter Jan van Leeuwen, Derek J. Posselt

Proceedings of the Computational Science - ICCS 2019, 2019

2018

Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter.

Manuel Pulido, Peter Jan van Leeuwen

CoRR, 2018