Filtrer vos résultats
- 16
- 6
- 16
- 4
- 1
- 1
- 17
- 11
- 6
- 3
- 1
- 1
- 1
- 4
- 3
- 3
- 6
- 4
- 1
- 22
- 17
- 14
- 6
- 3
- 3
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 22
- 15
- 7
- 4
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
22 résultats
|
|
|
triés par
|
|
|
Accelerating likelihood optimization for ICA on real signalsLVA-ICA 2018, Jul 2018, Guildford, United Kingdom
Communication dans un congrès
hal-01822602v1
|
||
|
|
Shared Independent Component Analysis for Multi-Subject Neuroimaging35th Conference on Neural Information Processing Systems NeurIPS 2021, Dec 2021, Sydney (Virtual Conference), Australia
Communication dans un congrès
hal-03405984v1
|
||
|
|
MultiView Independent Component Analysis with DelaysMLSP 2023 - 33rd IEEE International Workshop on Machine Learning for Signal Processing, Sep 2023, Rome, Italy
Communication dans un congrès
hal-04317549v1
|
||
|
|
Statistical shape modeling of the left ventricle: myocardial infarct classification challengeIEEE Journal of Biomedical and Health Informatics, 2018, 22 (3), pp.503-515. ⟨10.1109/JBHI.2017.2652449⟩
Article dans une revue
hal-01533805v1
|
||
|
|
Momentum Residual Neural Networks38th International Conference on Machine Learning, Aug 2021, Online, United States. pp.9276-9287
Communication dans un congrès
hal-03144341v1
|
||
|
|
Spectral independent component analysis with noise modeling for M/EEG source separationJournal of Neuroscience Methods, 2021, 356, ⟨10.1016/j.jneumeth.2021.109144⟩
Article dans une revue
hal-02941908v1
|
||
|
|
Manifold-regression to predict from MEG/EEG brain signals without source modelingNeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Communication dans un congrès
hal-02147708v2
|
||
Faster Independent Component Analysis by Preconditioning With Hessian ApproximationsIEEE Transactions on Signal Processing, 2018, 66 (15), pp.4040-4049
Article dans une revue
hal-01970746v1
|
|||
|
|
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive statesNeuroImage, 2020, ⟨10.1016/j.neuroimage.2020.116893⟩
Article dans une revue
hal-02367411v1
|
||
|
|
A framework for bilevel optimization that enables stochastic and global variance reduction algorithmsAdvances in Neural Information Processing Systems (NeurIPS), Nov 2022, New Orleans, United States
Communication dans un congrès
hal-03562151v2
|
||
|
|
Sinkformers: Transformers with Doubly Stochastic AttentionInternational Conference on Artificial Intelligence and Statistics, Mar 2022, Virtuel, France. pp.3515-3530
Communication dans un congrès
hal-03870858v1
|
||
|
|
Benchopt: Reproducible, efficient and collaborative optimization benchmarksNeurIPS 2022 - 36th Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States
Communication dans un congrès
hal-03830604v1
|
||
|
|
Super-efficiency of automatic differentiation for functions defined as a minimumInternational Conference on Machine Learning, Aug 2020, Vienna, Austria
Communication dans un congrès
hal-02941922v1
|
||
|
|
Faster ICA under orthogonal constraintInternational Conference on Acoustics, Speech, & Signal Processing, 2018, Calgary, Canada
Communication dans un congrès
hal-01651842v1
|
||
|
|
Modeling Shared Responses in Neuroimaging Studies through MultiView ICANeurIPS 2020 - Advances in Neural Information Processing Systems, Dec 2020, Vancouver, Canada. pp.19149--19162
Communication dans un congrès
hal-02941913v1
|
||
|
|
Stochastic algorithms with descent guarantees for ICAAISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Japan
Communication dans un congrès
hal-02372092v1
|
||
|
|
Fast and accurate optimization on the orthogonal manifold without retraction25th International Conference on Artificial Intelligence and Statistics, Mar 2022, Virtual, France. pp.5636-5657
Communication dans un congrès
hal-03869218v1
|
||
|
|
Learning step sizes for unfolded sparse codingNeurIPS 2019 - Advances in Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Communication dans un congrès
hal-02140383v1
|
||
|
|
Beyond Pham's algorithm for joint diagonalizationESSAN 2019 - 27th European symposium on artificial neural networks, Apr 2019, Bruges, Belgium
Communication dans un congrès
hal-01936887v1
|
||
|
|
Faster independent component analysis by preconditioning with Hessian approximations2017
Pré-publication, Document de travail
hal-01552340v2
|
||
|
|
A quasi-Newton algorithm on the orthogonal manifold for NMF with transform learningIEEE-ICASSP 2019 - International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom
Communication dans un congrès
hal-02346829v2
|
||
|
|
Exploration of multivariate EEG /MEG signals using non-stationary modelsMachine Learning [stat.ML]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLT051⟩
Thèse
tel-02507788v1
|