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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
		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
		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
		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
		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
		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 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
		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
		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
		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
		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
		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
		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
		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
		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
		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
		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
		Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding Clément Lalanne , Maxence Rateaux , Laurent Oudre , Matthieu Robert , Thomas Moreau EMBC 2020 - 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society, Jul 2020, Montreal / Virtuel, Canada. pp.928-931, ⟨10.1109/EMBC44109.2020.9175621⟩ Communication dans un congrès hal-03022547v1	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
		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
		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
		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
		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

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

DiCoDiLe: Distributed Convolutional Dictionary Learning

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

NeuMiss networks: differentiable programming for supervised learning with missing values

Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers

HNPE: Leveraging Global Parameters for Neural Posterior Estimation

Multivariate semi-blind deconvolution of fMRI time series

Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals

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

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 augmentation for learning predictive models on EEG: a systematic comparison

Learning to solve TV regularized problems with unrolled algorithms

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

Understanding approximate and unrolled dictionary learning for pattern recovery

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

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

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

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

Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding

Wavelets in the Deep Learning ERA

Equivariant plug-and-play image reconstruction

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

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

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