About: Alexandre Gramfort

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An Entity of Type : foaf:Person, within Data Space : data.idref.fr associated with source document(s)

Attributes	Values
type	Person
seeAlso	Institut national de recherche en informatique et en automatique (France) Meta Platforms, Inc. (firme)
sameAs	Gramfort, Alexandre (1982-....) Gramfort, Alexandre (1982-....) Gramfort, Alexandre (1982-....)
Life Event	http://www.idref.fr/169233758/birth
preferred label	Gramfort, Alexandre (1982-....)
name	Alexandre Gramfort
dbpedia-owl:citizenship	http://sws.geonames.org/3017382/
Language	http://lexvo.org/id/iso639-3/eng http://lexvo.org/id/iso639-3/fra
Given name	Alexandre
familyName	Gramfort
has biographical i...tion (Deprecated)	Doctorat en signal et images (Télécom Paris Tech, 2009) Informaticien. Chercheur, Meta reality labs, Paris. Ex-directeur de recherche INRIA, membre associé de l'équipe de recherche Modèles et inférence pour les données de neuroimagerie (MIND), Neurospin (IFR 49 CEA), Centre INRIA de Saclay, Palaiseau, Essonne (en 2024)
gender	male
ORCID iD	0000-0001-9791-4404
org:hasMembership	http://www.idref.fr/169233758/affiliation/2 http://www.idref.fr/169233758/affiliation/1
Scopus ID	23388890700
is sameAs of	Gramfort, Alexandre (1982-....) Gramfort, Alexandre (1982-....)
is Thesis advisor of	http://www.sudoc.fr/190925884/id http://www.sudoc.fr/233972277/id http://www.sudoc.fr/243290748/id Exploration des invariances de séries temporelles multivariées via la géométrie Riemannienne, validation sur des données EEG http://www.sudoc.fr/24296043X/id http://www.sudoc.fr/258212357/id http://www.sudoc.fr/255233167/id http://www.sudoc.fr/258228288/id http://www.sudoc.fr/260879819/id http://www.sudoc.fr/255708246/id http://www.sudoc.fr/257820779/id http://www.sudoc.fr/261436694/id http://www.sudoc.fr/27115697X/id http://www.sudoc.fr/277370469/id http://www.sudoc.fr/278853005/id
is Praeses of	http://www.sudoc.fr/258065893/id http://www.sudoc.fr/252341406/id http://www.sudoc.fr/236181300/id http://www.sudoc.fr/244942838/id http://www.sudoc.fr/23419457X/id http://www.sudoc.fr/254942687/id http://www.sudoc.fr/252942965/id http://www.sudoc.fr/240113845/id http://www.sudoc.fr/256244138/id http://www.sudoc.fr/271620986/id
is Author of	http://www.sudoc.fr/169233448/id https://hal.archives-ouvertes.fr/hal-03132910#id Implicit differentiation for fast hyperparameter selection in non-smooth convex learning A quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates MEG/EEG source imaging with a non-convex penalty in the time-frequency domain Localisation et suivi d'activité fonctionnelle cérébrale en électro et magnétoencéphaolographie, application au système visuel humain Wasserstein regularization for sparse multi-task regression Electromagnetic neural source imaging under sparsity constraints with SURE-based hyperparameter tuning Domain adaptation with optimal transport improves EEG sleep stage classifiers Mind the noise covariance when localizing brain sources with M/EEG Phase delays within visual cortex shape the response to steady-state visual stimulation. Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness Stochastic algorithms with descent guarantees for ICA A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding Hydroxyzine Use and Mortality in Patients Hospitalized for COVID-19: A Multicenter Observational Study Dexamethasone Use and Mortality in Hospitalized Patients with Coronavirus Disease 2019: a Multicenter Retrospective Observational Study Hydroxyzine Use and Mortality in Patients Hospitalized for COVID-19: A Multicenter Observational Study Automated Measurement and Prediction of Consciousness in Vegetative and Minimally Conscious Patients A supervised clustering approach for fMRI-based inference of brain states Non-negative matrix factorization for single-channel EEG artifact rejection International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium Implicit differentiation of Lasso-type models for hyperparameter optimization An empirical evaluation of free BEM solvers for M/EEG forward modeling Machine Learning for Neuroimaging with Scikit-Learn Hyperparameter Estimation in Maximum a Posteriori Regression Using Group Sparsity with an Application to Brain Imaging On the Consistency of Ordinal Regression Methods Débruitage Aveugle par Décompositions Parcimonieuses et Aléatoires, Wrong HAL Entry Electro-Metabolic Coupling Investigated with Jitter Invariant Dictionary Learning Hydroxychloroquine with or without azithromycin and in-hospital mortality or discharge in patients hospitalized for COVID-19 infection: a cohort study of 4,642 in-patients in France Data-driven HRF estimation for encoding and decoding models OpenMEEG for M/EEG forward modeling: a comparison study Observational Study of Chlorpromazine in Hospitalized Patients with Covid-19 Running title: Chlorpromazine in hospitalized patients with Covid-19 Non-negative Tensor Factorization for Single-Channel EEG Artifact Rejection Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso Toward a realistic model of speech processing in the brain with self-supervised learning Optimization of classification and regression analysis of four monoclonal antibodies from Raman spectra using collaborative machine learning approach https://orbi.uliege.be/handle/2268/243467#id Editorial: From Raw MEG/EEG to Publication: How to Perform MEG/EEG Group Analysis With Free Academic Software Supramodal processing optimizes visual perceptual learning and plasticity Support recovery and sup-norm convergence rates for sparse pivotal estimation Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications https://orbi.uliege.be/handle/2268/243470#id http://www.sudoc.fr/248030264/id Jitter-Adaptive Dictionary Learning -Application to Multi-Trial Neuroelectric Signals Modeling Shared Responses in Neuroimaging Studies through MultiView ICA Graph-Based Variability Estimation in Single-Trial Event-Related Neural Responses Multi-condition M/EEG inverse modeling with sparsity assumptions: how to estimate what is common and what is specific in multiple experimental conditions Exploiting regularity in sparse Generalized Linear Models Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals

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