Pedro Rodrigues

According to our database, Pedro Rodrigues authored at least 25 papers between 2015 and 2024.

Collaborative distances:

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

2024

Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference.

Nicholas Tolley, Pedro L. C. Rodrigues, Alexandre Gramfort, Stephanie R. Jones

PLoS Comput. Biol., February, 2024

Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings.

Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini

Trans. Mach. Learn. Res., 2024

Diffusion posterior sampling for simulation-based inference in tall data settings.

Julia Linhart, Gabriel Victorino Cardoso, Alexandre Gramfort, Sylvain Le Corff, Pedro L. C. Rodrigues

CoRR, 2024

2023

L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference.

Julia Linhart, Alexandre Gramfort, Pedro Rodrigues

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

pyRiemann/pyRiemann: v0.3.

Alexandre Barachant, Quentin Barthélemy, Jean-Rémi King, Alexandre Gramfort, Sylvain Chevallier, Pedro L. C. Rodrigues, Emanuele Olivetti, Vladislav Goncharenko, Gabriel Wagner vom Berg, Ghiles Reguig, Arthur Lebeurrier, Erik Bjäreholt, Maria Sayu Yamamoto, Pierre Clisson, Marie-Constance Corsi

Dataset, July, 2022

Validation Diagnostics for SBI algorithms based on Normalizing Flows.

Julia Linhart, Alexandre Gramfort, Pedro L. C. Rodrigues

CoRR, 2022

2021

Dimensionality Transcending: A Method for Merging BCI Datasets With Different Dimensionalities.

Pedro L. C. Rodrigues, Marco Congedo, Christian Jutten

IEEE Trans. Biomed. Eng., 2021

Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements.

Maëliss Jallais, Pedro Rodrigues, Alexandre Gramfort, Demian Wassermann

CoRR, 2021

Leveraging Global Parameters for Flow-based Neural Posterior Estimation.

Pedro L. C. Rodrigues, Thomas Moreau, Gilles Louppe, Alexandre Gramfort

CoRR, 2021

HNPE: Leveraging Global Parameters for Neural Posterior Estimation.

Pedro Rodrigues, Thomas Moreau, Gilles Louppe, Alexandre Gramfort

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Guidelines to use Transfer Learning for Motor Imagery Detection: an experimental study.

Laurent Bougrain, Sébastien Rimbert, Pedro L. C. Rodrigues, Geoffrey Canron, Fabien Lotte

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Cytoarchitecture Measurements in Brain Gray Matter Using Likelihood-Free Inference.

Maëliss Jallais, Pedro L. C. Rodrigues, Alexandre Gramfort, Demian Wassermann

Proceedings of the Information Processing in Medical Imaging, 2021

2020

Learning summary features of time series for likelihood free inference.

Pedro L. C. Rodrigues, Alexandre Gramfort

CoRR, 2020

2019

Riemannian Procrustes Analysis: Transfer Learning for Brain-Computer Interfaces.

Pedro Luiz Coelho Rodrigues, Christian Jutten, Marco Congedo

IEEE Trans. Biomed. Eng., 2019

Building Brain Invaders: EEG data of an experimental validation.

Gijsbrecht Van Veen, Alexandre Barachant, Anton Andreev, Grégoire Cattan, Pedro Coelho Rodrigues, Marco Congedo

CoRR, 2019

Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset.

Erwan Vaineau, Alexandre Barachant, Anton Andreev, Pedro C. Rodrigues, Grégoire Cattan, Marco Congedo

CoRR, 2019

Passive Head-Mounted Display Music-Listening EEG dataset.

Grégoire Cattan, Pedro C. Rodrigues, Marco Congedo

CoRR, 2019

Dataset of an EEG-based BCI experiment in Virtual Reality and on a Personal Computer.

Grégoire Cattan, Anton Andreev, Pedro C. Rodrigues, Marco Congedo

CoRR, 2019

"When does it work ?" : An exploratory analysis of Transfer Learning for BCI.

Pedro Luiz Coelho Rodrigues, Marco Congedo, Christian Jutten

Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

The Riemannian Minimum Distance to means field Classifier.

Marco Congedo, Pedro Rodrigues, Christian Jutten

Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

2018

Multivariate Time-Series Analysis Via Manifold Learning.

Pedro Luiz Coelho Rodrigues, Marco Congedo, Christian Jutten

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017

Dimensionality Reduction for BCI Classification using Riemannian Geometry.

Pedro Luiz Coelho Rodrigues, Florent Bouchard, Marco Congedo, Christian Jutten

Proceedings of the From Vision to Reality, 2017

A closed-form unsupervised geometry-aware dimensionality reduction method in the Riemannian Manifold of SPD matrices.

Marco Congedo, Pedro Luiz Coelho Rodrigues, Florent Bouchard, Alexandre Barachant, Christian Jutten

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Statistically significant time-varying neural connectivity estimation using generalized partial directed coherence.

Pedro L. C. Rodrigues, Luiz A. Baccalá

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

A new algorithm for neural connectivity estimation of EEG event related potentials.

Pedro L. C. Rodrigues, Luiz A. Baccalá

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015