Manuel Pulido

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Sequential Monte Carlo

Bayesian Inference

Particle Filter

Causal Discovery

Top Venues

SIAM/ASA J. Uncertain. Quantification

J. Comput. Phys.

Publications

Maximiliano A. Sacco, Manuel Pulido, Juan J. Ruiz, Pierre Tandeo
Online machine-learning forecast uncertainty estimation for sequential data assimilation. CoRR (2023)
María Magdalena Lucini, Peter Jan van Leeuwen, Manuel Pulido
Model Error Estimation Using the Expectation Maximization Algorithm and a Particle Flow Filter. SIAM/ASA J. Uncertain. Quantification 9 (2) (2021)
Maximiliano A. Sacco, Juan J. Ruiz, Manuel Pulido, Pierre Tandeo
Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification. CoRR (2021)
Peter Jan van Leeuwen, Michael DeCaria, Nachiketa Chakaborty, Manuel Pulido
A new Framework for Causal Discovery. CoRR (2020)
Manuel Pulido, Peter Jan van Leeuwen, Derek J. Posselt
Kernel Embedded Nonlinear Observational Mappings in the Variational Mapping Particle Filter. ICCS (4) (2019)
Manuel Pulido, Peter Jan van Leeuwen, Derek J. Posselt
Kernel embedded nonlinear observational mappings in the variational mapping particle filter. CoRR (2019)
Manuel Pulido, Peter Jan van Leeuwen
Sequential Monte Carlo with kernel embedded mappings: The mapping particle filter. J. Comput. Phys. 396 (2019)
Manuel Pulido, Peter Jan van Leeuwen
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter. CoRR (2018)