Alexandre Gramfort
Orcid: 0000-0001-9791-4404
According to our database1,
Alexandre Gramfort
authored at least 159 papers
between 2009 and 2024.
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Bibliography
2024
Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference.
PLoS Comput. Biol., February, 2024
Optim. Lett., January, 2024
CoRR, 2024
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets.
CoRR, 2024
Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications.
CoRR, 2024
2023
Using convolutional dictionary learning to detect task-related neuromagnetic transients and ageing trends in a large open-access dataset.
NeuroImage, 2023
Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation.
CoRR, 2023
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels.
Proceedings of the International Conference on Machine Learning, 2023
2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
NeuroImage, 2022
J. Open Source Softw., 2022
Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning.
J. Mach. Learn. Res., 2022
CoRR, 2022
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Toward a realistic model of speech processing in the brain with self-supervised learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso.
Proceedings of the International Conference on Automated Machine Learning, 2022
2021
CoRR, 2021
CoRR, 2021
Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements.
CoRR, 2021
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Decomposing lexical and compositional syntax and semantics with deep language models.
CoRR, 2021
CoRR, 2021
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021
2020
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.
npj Digit. Medicine, 2020
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states.
NeuroImage, 2020
NeuroImage, 2020
NeuroImage, 2020
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso.
CoRR, 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis.
J. Open Source Softw., 2019
Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise.
CoRR, 2019
Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Group Level MEG/EEG Source Imaging via Optimal Transport: Minimum Wasserstein Estimates.
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Faster Independent Component Analysis by Preconditioning With Hessian Approximations.
IEEE Trans. Signal Process., 2018
CoRR, 2018
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
An Ensemble Learning Approach to Detect Epileptic Seizures from Long Intracranial EEG Recordings.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Non-linear auto-regressive models for cross-frequency coupling in neural time series.
PLoS Comput. Biol., 2017
Seeing it all: Convolutional network layers map the function of the human visual system.
NeuroImage, 2017
J. Mach. Learn. Res., 2017
ERCIM News, 2017
Machine learning for classification and quantification of monoclonal antibody preparations for cancer therapy.
CoRR, 2017
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series.
CoRR, 2017
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the Latent Variable Analysis and Signal Separation, 2017
Hyperparameter estimation in maximum a posteriori regression using group sparsity with an application to brain imaging.
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
The Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal MEG/EEG Source Reconstruction.
IEEE Trans. Medical Imaging, 2016
CoRR, 2016
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals.
NeuroImage, 2015
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
2014
NeuroImage, 2014
Denoising and fast diffusion imaging with physically constrained sparse dictionary learning.
Medical Image Anal., 2014
Frontiers Neuroinformatics, 2014
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Benchmarking solvers for TV-ℓ1 least-squares and logistic regression in brain imaging.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
2013
Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness.
NeuroImage, 2013
Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations.
NeuroImage, 2013
Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals
Proceedings of the 1st International Conference on Learning Representations, 2013
CoRR, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Proceedings of the Information Processing in Medical Imaging, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
SIAM J. Imaging Sci., 2012
Pattern Recognit., 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering.
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
IEEE Trans. Medical Imaging, 2011
Tracking cortical activity from M/EEG using graph cuts with spatiotemporal constraints.
NeuroImage, 2011
Phase delays within visual cortex shape the response to steady-state visual stimulation.
NeuroImage, 2011
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the Information Processing in Medical Imaging, 2011
Functional Brain Imaging with M/EEG Using Structured Sparsity in Time-Frequency Dictionaries.
Proceedings of the Information Processing in Medical Imaging, 2011
2010
A priori par normes mixtes pour les problèmes inverses. Application à la localisation de sources en M/EEG.
Traitement du Signal, 2010
IEEE Trans. Biomed. Eng., 2010
Brain covariance selection: better individual functional connectivity models using population prior.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
2009
Mapping, timing and tracking cortical activations with MEG and EEG: Methods and application to human vision. (Localisation et suivi d'activité fonctionnelle cérébrale en électro et magnétoencéphalographie: Méthodes et applications au système visuel humain).
PhD thesis, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009