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	Pour les 31 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		Using convolutional dictionary learning to detect task-related neuromagnetic transients and ageing trends in a large open-access dataset Lindsey Power , Cédric Allain , Thomas Moreau , Alexandre Gramfort , Timothy Bardouille NeuroImage, 2023, 267, pp.119809. ⟨10.1016/j.neuroimage.2022.119809⟩ Article dans une revue hal-04397451v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		fMRI BOLD signal decomposition using a multivariate low-rank model Hamza Cherkaoui , Thomas Moreau , Abderrahim Halimi , Philippe Ciuciu Eusipco 2019 - 27th European Signal Processing Conference, Sep 2019, Corunna, Spain Communication dans un congrès hal-02163497v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Wavelets in the deep learning era Zaccharie Ramzi , Kevin Michalewicz , Jean-Luc Starck , Thomas Moreau , Philippe Ciuciu Journal of Mathematical Imaging and Vision, 2022, 65, ⟨10.1007/s10851-022-01123-w⟩ Article dans une revue hal-03346892v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Data augmentation for learning predictive models on EEG: a systematic comparison Cédric Rommel , Joseph Paillard , Thomas Moreau , Alexandre Gramfort Journal of Neural Engineering, 2022, 19 (6), ⟨10.1088/1741-2552/aca220⟩ Article dans une revue hal-03853329v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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 Emilie Sbidian , Julie Josse , Guillaume Lemaître , Imke Mayer , Melodie Bernaux , et al. 2020 Pré-publication, Document de travail hal-02995319v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Learning to solve TV regularized problems with unrolled algorithms Hamza Cherkaoui , Jeremias Sulam , Thomas Moreau NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtuel, Canada Communication dans un congrès hal-02954181v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers Matthieu Terris , Thomas Moreau 2023 Pré-publication, Document de travail hal-04346460v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Data Set for the Study of Human Locomotion with Inertial Measurements Units Charles Truong , Rémi Barrois-Müller , Thomas Moreau , Clément Provost , Aliénor Vienne-Jumeau , et al. Image Processing On Line, 2019, 9, pp.381-390. ⟨10.5201/ipol.2019.265⟩ Article dans une revue hal-02442702v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Multivariate semi-blind deconvolution of fMRI time series Hamza Cherkaoui , Thomas Moreau , Abderrahim Halimi , Claire Leroy , Philippe Ciuciu NeuroImage, 2021, ⟨10.1016/j.neuroimage.2021.118418⟩ Article dans une revue hal-03005584v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		HNPE: Leveraging Global Parameters for Neural Posterior Estimation Pedro Luiz Coelho Rodrigues , Thomas Moreau , Gilles Louppe , Alexandre Gramfort NeurIPS 2021, Dec 2021, Sydney (Online), Australia Communication dans un congrès hal-03139916v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals Tom Dupré La Tour , Thomas Moreau , Mainak Jas , Alexandre Gramfort Advances in Neural Information Processing Systems (NeurIPS), Dec 2018, Montréal, Canada Communication dans un congrès hal-01966685v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		NeuMiss networks: differentiable programming for supervised learning with missing values Marine Le Morvan , Julie Josse , Thomas Moreau , Erwan Scornet , Gaël Varoquaux NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtual, Canada Communication dans un congrès hal-02888867v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		DriPP: Driven point processes to model stimuli induced patterns in M/EEG signals Cédric Allain , Alexandre Gramfort , Thomas Moreau ICLR 2022 - 10th International Conference on Learning Representations, Apr 2022, online, France Communication dans un congrès hal-03470630v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		DiCoDiLe: Distributed Convolutional Dictionary Learning Thomas Moreau , Alexandre Gramfort IEEE Transactions on Pattern Analysis and Machine Intelligence, In press Article dans une revue hal-02371715v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Understanding approximate and unrolled dictionary learning for pattern recovery Benoît Malézieux , Thomas Moreau , Matthieu Kowalski International Conference on Learning Representations, Apr 2022, Online, France Communication dans un congrès hal-03258196v4	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels Guillaume Staerman , Cédric Allain , Alexandre Gramfort , Thomas Moreau International Conference on Machine Learning, Jul 2023, Honololu, Hawaii, United States. pp.32575-32597 Communication dans un congrès hal-03811810v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals Clément Bonet , Benoît Malézieux , Alain Rakotomamonjy , Lucas Drumetz , Thomas Moreau , et al. ICML 2023 - Fortieth International Conference on Machine Learning, Jul 2023, Honololu, United States. pp.1-29 Communication dans un congrès hal-04250921v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A lower bound and a near-optimal algorithm for bilevel empirical risk minimization Mathieu Dagréou , Thomas Moreau , Samuel Vaiter , Pierre Ablin International Conference on Artificial Intelligence and Statistics (AISTATS), May 2024, Valencia, Spain. ⟨10.48550/arXiv.2302.08766⟩ Communication dans un congrès hal-04302861v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark Sylvain Chevallier , Igor Carrara , Bruno Aristimunha , Pierre Guetschel , Sara Sedlar , et al. 2024 Pré-publication, Document de travail hal-04537061v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Benchopt: Reproducible, efficient and collaborative optimization benchmarks Thomas Moreau , Mathurin Massias , Alexandre Gramfort , Pierre Ablin , Pierre-Antoine Bannier , et al. NeurIPS 2022 - 36th Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States Communication dans un congrès hal-03830604v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Wavelets in the Deep Learning ERA Zaccharie Ramzi , Jean-Luc Starck , Thomas Moreau , Philippe Ciuciu EUSIPCO 2020 - 28th European Signal Processing Conference, Jan 2021, Amsterdam, Netherlands Communication dans un congrès hal-03020214v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Neural Posterior Estimation of hierarchical models in neuroscience Julia Linhart , Pedro Luiz Coelho Rodrigues , Thomas Moreau , Gilles Louppe , Alexandre Gramfort GRETSI 2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. pp.1-3 Communication dans un congrès hal-03858828v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A framework for bilevel optimization that enables stochastic and global variance reduction algorithms Mathieu Dagréou , Pierre Ablin , Samuel Vaiter , Thomas Moreau Advances in Neural Information Processing Systems (NeurIPS), Nov 2022, New Orleans, United States Communication dans un congrès hal-03562151v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Equivariant plug-and-play image reconstruction Matthieu Terris , Thomas Moreau , Nelly Pustelnik , Julian Tachella 2023 Pré-publication, Document de travail hal-04346463v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Clinical Characteristics, Care Trajectories and Mortality Rate of SARS-CoV-2 Infected Cancer Patients: A Multicenter Cohort Study Marc-Antoine Benderra , Ainhoa Aparicio , Judith Leblanc , Demian Wassermann , Emmanuelle Kempf , et al. Cancers, 2021, 13 (19), pp.4749. ⟨10.3390/cancers13194749⟩ Article dans une revue hal-03379679v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Super-efficiency of automatic differentiation for functions defined as a minimum Pierre Ablin , Gabriel Peyré , Thomas Moreau International Conference on Machine Learning, Aug 2020, Vienna, Austria Communication dans un congrès hal-02941922v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		PAVI: Plate-Amortized Variational Inference Louis Rouillard , Alexandre Le Bris , Thomas Moreau , Demian Wassermann Transactions on Machine Learning Research Journal, 2023 Article dans une revue hal-03684389v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		CADDA: Class-wise automatic differentiable data augmentation for EEG signals Cédric Rommel , Thomas Moreau , Joseph Paillard , Alexandre Gramfort ICLR 2022 - Tenth International Conference on Learning Representations, Apr 2022, Virtual event, France Communication dans un congrès hal-03483570v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Deep invariant networks with differentiable augmentation layers Cédric Rommel , Thomas Moreau , Alexandre Gramfort Thirty-sixth Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States Communication dans un congrès hal-03691742v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models Zaccharie Ramzi , Florian Mannel , Shaojie Bai , Jean-Luc Starck , Philippe Ciuciu , et al. ICLR 2022 - International Conference on Learning Representations, Apr 2022, Virtual, United States Communication dans un congrès hal-03246167v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

Using convolutional dictionary learning to detect task-related neuromagnetic transients and ageing trends in a large open-access dataset

fMRI BOLD signal decomposition using a multivariate low-rank model

Wavelets in the deep learning era

Data augmentation for learning predictive models on EEG: a systematic comparison

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

Learning to solve TV regularized problems with unrolled algorithms

Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers

A Data Set for the Study of Human Locomotion with Inertial Measurements Units

Multivariate semi-blind deconvolution of fMRI time series

HNPE: Leveraging Global Parameters for Neural Posterior Estimation

Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals

NeuMiss networks: differentiable programming for supervised learning with missing values

DriPP: Driven point processes to model stimuli induced patterns in M/EEG signals

DiCoDiLe: Distributed Convolutional Dictionary Learning

Understanding approximate and unrolled dictionary learning for pattern recovery

FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals

A lower bound and a near-optimal algorithm for bilevel empirical risk minimization

The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

Wavelets in the Deep Learning ERA

Neural Posterior Estimation of hierarchical models in neuroscience

A framework for bilevel optimization that enables stochastic and global variance reduction algorithms

Equivariant plug-and-play image reconstruction

Clinical Characteristics, Care Trajectories and Mortality Rate of SARS-CoV-2 Infected Cancer Patients: A Multicenter Cohort Study

Super-efficiency of automatic differentiation for functions defined as a minimum

PAVI: Plate-Amortized Variational Inference

CADDA: Class-wise automatic differentiable data augmentation for EEG signals

Deep invariant networks with differentiable augmentation layers

SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models