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27 Results
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sorted by
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Entropic Optimal Transport in Random Graphs2022
Preprints, Working Papers, ...
hal-03576738v1
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Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs2023
Preprints, Working Papers, ...
hal-04059402v2
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Gradient scarcity with Bilevel Optimization for Graph Learning2023
Preprints, Working Papers, ...
hal-04041721v1
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Support Localization and the Fisher Metric for off-the-grid Sparse RegularizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019, Naha, Japan
Conference papers
hal-02367999v1
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Large-Scale High-Dimensional Clustering with Fast SketchingICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. pp.4714-4718, ⟨10.1109/ICASSP.2018.8461328⟩
Conference papers
hal-01701121v1
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Stability of Entropic Wasserstein Barycenters and application to random geometric graphs2022
Preprints, Working Papers, ...
hal-03852485v1
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Convergence and Stability of Graph Convolutional Networks on Large Random GraphsNeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver (virtual), Canada
Conference papers
hal-02976711v1
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Universal Invariant and Equivariant Graph Neural NetworksAdvances in Neural Information Processing Systems (NeurIPS), 2019, Vancouver, Canada
Conference papers
hal-02484980v1
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Sketching for Large-Scale Learning of Mixture ModelsInformation and Inference, 2018, 7 (3), pp.447-508. ⟨10.1093/imaiai/iax015⟩
Journal articles
hal-01329195v2
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Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Random GraphsGSP 2023 - 6th Graph Signal Processing workshop (GSP 2023), Jun 2023, Oxford, United Kingdom
Conference papers
hal-04106511v1
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Sketching for large-scale learning of mixture modelsMachine Learning [stat.ML]. Université de Rennes, 2017. English. ⟨NNT : 2017REN1S055⟩
Theses
tel-01620815v2
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Sketching for Large-Scale Learning of Mixture Models2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China
Conference papers
hal-01208027v3
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Compressive K-meansICASSP 2017 - IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2017, New Orleans, United States
Conference papers
hal-01386077v4
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Instance Optimal Decoding and the Restricted Isometry Property8th International Conference on New Computational Methods for Inverse Problems (NCMIP), May 2018, Cachan, France. pp.012002, ⟨10.1088/1742-6596/1131/1/012002⟩
Conference papers
hal-01718411v2
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NEWMA: a new method for scalable model-free online change-point detectionIEEE Transactions on Signal Processing, 2020, 68, pp.3515 - 3528. ⟨10.1109/TSP.2020.2990597⟩
Journal articles
hal-02484988v1
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Fast Graph Kernel with Optical Random FeaturesICASSP 2021 - IEEE International Conference on Acoustics, Speech, and Signal Processing, Jun 2021, Toronto, Canada. ⟨10.1109/ICASSP39728.2021.9413614⟩
Conference papers
hal-02976716v1
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On the Universality of Graph Neural Networks on Large Random GraphsNeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Virtual, Canada
Conference papers
hal-03382553v1
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Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture ModelingMathematical Statistics and Learning, 2021, 3 (2), pp.165-257. ⟨10.4171/msl/21⟩
Journal articles
hal-02536818v3
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Compressive Statistical Learning with Random Feature MomentsMathematical Statistics and Learning, 2021, 3 (2), pp.113-164. ⟨10.4171/msl/20⟩
Journal articles
hal-01544609v5
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What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding2023
Preprints, Working Papers, ...
hal-04103771v1
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Not too little, not too much: a theoretical analysis of graph (over)smoothingNeurIPS 2022 - 36th Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States
Conference papers
hal-03778245v1
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The geometry of off-the-grid compressed sensingFoundations of Computational Mathematics, 2023, 23, pp.241-327. ⟨10.1007/s10208-021-09545-5⟩
Journal articles
hal-02484957v1
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SketchMLbox -- A MATLAB toolbox for large-scale mixture learningSoftware hal-02960718v1 |
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Blind Source Separation Using Mixtures of Alpha-Stable DistributionsICASSP: International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. pp.771-775, ⟨10.1109/ICASSP.2018.8462095⟩
Conference papers
hal-01633215v3
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Projections aléatoires pour l'apprentissage compressifGRETSI 2019 − XXVIIème Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France. pp.1-4
Conference papers
hal-02154803v1
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Sketching Datasets for Large-Scale Learning (long version)2021
Preprints, Working Papers, ...
hal-02909766v2
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Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model2020
Preprints, Working Papers, ...
hal-02484970v1
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