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ORCIDPedro Rodrigues 0002
Person information
- affiliation: GIPSA-Lab, Saint Martin d'Heres, France
- affiliation (former): University of São Paulo, Telecommunications and Control Department, Brazil
Other persons with the same name
- Pedro Rodrigues — disambiguation page
- Pedro Rodrigues 0001
![[0000-0002-1108-1796]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1108-1796")
(aka: Pedro M. C. Rodrigues) — University of Coimbra, Institute of Systems and Robotics, Portugal (and 1 more)
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Journal Articles
- 2024
[j4]Nicholas Tolley, Pedro L. C. Rodrigues, Alexandre Gramfort, Stephanie R. Jones:
Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference. PLoS Comput. Biol. 20(2) (2024)- [j3]Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini:
Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. Trans. Mach. Learn. Res. 2024 (2024) - 2021
- [j2]Pedro L. C. Rodrigues, Marco Congedo, Christian Jutten:
Dimensionality Transcending: A Method for Merging BCI Datasets With Different Dimensionalities. IEEE Trans. Biomed. Eng. 68(2): 673-684 (2021) - 2019
- [j1]Pedro Luiz Coelho Rodrigues, Christian Jutten, Marco Congedo:
Riemannian Procrustes Analysis: Transfer Learning for Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. 66(8): 2390-2401 (2019)
Conference and Workshop Papers
- 2023
- [c11]Julia Linhart, Alexandre Gramfort, Pedro Rodrigues:
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference. NeurIPS 2023 - 2021
- [c10]Maëliss Jallais, Pedro L. C. Rodrigues, Alexandre Gramfort, Demian Wassermann:
Cytoarchitecture Measurements in Brain Gray Matter Using Likelihood-Free Inference. IPMI 2021: 191-202 - [c9]Laurent Bougrain, Sébastien Rimbert, Pedro L. C. Rodrigues, Geoffrey Canron, Fabien Lotte:
Guidelines to use Transfer Learning for Motor Imagery Detection: an experimental study. NER 2021: 5-8 - [c8]Pedro Rodrigues, Thomas Moreau, Gilles Louppe, Alexandre Gramfort:
HNPE: Leveraging Global Parameters for Neural Posterior Estimation. NeurIPS 2021: 13432-13443 - 2019
- [c7]Marco Congedo, Pedro Rodrigues, Christian Jutten:
The Riemannian Minimum Distance to means field Classifier. GBCIC 2019 - [c6]Pedro Luiz Coelho Rodrigues, Marco Congedo, Christian Jutten:
"When does it work ?" : An exploratory analysis of Transfer Learning for BCI. GBCIC 2019 - 2018
- [c5]Pedro Luiz Coelho Rodrigues, Marco Congedo, Christian Jutten:
Multivariate Time-Series Analysis Via Manifold Learning. SSP 2018: 573-577 - 2017
- [c4]Marco Congedo, Pedro Luiz Coelho Rodrigues, Florent Bouchard, Alexandre Barachant, Christian Jutten:
A closed-form unsupervised geometry-aware dimensionality reduction method in the Riemannian Manifold of SPD matrices. EMBC 2017: 3198-3201 - [c3]Pedro Luiz Coelho Rodrigues, Florent Bouchard, Marco Congedo, Christian Jutten:
Dimensionality Reduction for BCI Classification using Riemannian Geometry. GBCIC 2017 - 2016
- [c2]Pedro L. C. Rodrigues, Luiz A. Baccalá:
Statistically significant time-varying neural connectivity estimation using generalized partial directed coherence. EMBC 2016: 5493-5496 - 2015
- [c1]Pedro L. C. Rodrigues, Luiz A. Baccalá:
A new algorithm for neural connectivity estimation of EEG event related potentials. EMBC 2015: 3787-3790
Informal and Other Publications
- 2024
- [i11]Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini:
Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. CoRR abs/2403.07454 (2024) - [i10]Julia Linhart, Gabriel Victorino Cardoso, Alexandre Gramfort, Sylvain Le Corff, Pedro L. C. Rodrigues:
Diffusion posterior sampling for simulation-based inference in tall data settings. CoRR abs/2404.07593 (2024) - 2023
- [i9]Julia Linhart, Alexandre Gramfort, Pedro L. C. Rodrigues:
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference. CoRR abs/2306.03580 (2023) - 2022
- [i8]Julia Linhart, Alexandre Gramfort, Pedro L. C. Rodrigues:
Validation Diagnostics for SBI algorithms based on Normalizing Flows. CoRR abs/2211.09602 (2022) - 2021
- [i7]Pedro L. C. Rodrigues, Thomas Moreau, Gilles Louppe, Alexandre Gramfort:
Leveraging Global Parameters for Flow-based Neural Posterior Estimation. CoRR abs/2102.06477 (2021) - [i6]Maëliss Jallais, Pedro Rodrigues, Alexandre Gramfort, Demian Wassermann:
Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements. CoRR abs/2111.08693 (2021) - 2020
- [i5]Pedro L. C. Rodrigues, Alexandre Gramfort:
Learning summary features of time series for likelihood free inference. CoRR abs/2012.02807 (2020) - 2019
- [i4]Grégoire Cattan, Anton Andreev, Pedro C. Rodrigues, Marco Congedo:
Dataset of an EEG-based BCI experiment in Virtual Reality and on a Personal Computer. CoRR abs/1903.11297 (2019) - [i3]Grégoire Cattan, Pedro C. Rodrigues, Marco Congedo:
Passive Head-Mounted Display Music-Listening EEG dataset. CoRR abs/1904.00609 (2019) - [i2]Erwan Vaineau, Alexandre Barachant, Anton Andreev, Pedro C. Rodrigues, Grégoire Cattan, Marco Congedo:
Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset. CoRR abs/1904.09111 (2019) - [i1]Gijsbrecht Van Veen, Alexandre Barachant, Anton Andreev, Grégoire Cattan, Pedro Coelho Rodrigues, Marco Congedo:
Building Brain Invaders: EEG data of an experimental validation. CoRR abs/1905.05182 (2019)
Coauthor Index
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