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Une nouvelle représentation de la polysomnographie par technique de machine learning non supervisée
G. Solelhac
,
M. Brigham
,
C. Marini
,
P. Bouchequet
,
M. Chennaoui
et al.
Journal articles
hal-02160292v1
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D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning
Aurélien Bellet
,
Anne-Marie Kermarrec
,
Erick Lavoie
2021
Preprints, Working Papers, ...
hal-03498160v1
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Optimal Transport for Data Fusion in Remote Sensing
Nicolas Courty
,
Rémi Flamary
,
Devis Tuia
,
Thomas Corpetti
IGARSS, Jul 2016, Beijing, China
Conference papers
hal-01377234v1
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Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping
Ana Luísa Pinho
,
Alexis Amadon
,
Baptiste Gauthier
,
Nicolas Clairis
,
André Knops
et al.
Journal articles
hal-02973046v1
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Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
Miles Brundage
,
Shahar Avin
,
Jasmine Wang
,
Haydn Belfield
,
Gretchen Krueger
et al.
2020
Preprints, Working Papers, ...
hal-03065927v1
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Compressive Spectral Clustering Toolbox
Nicolas Tremblay
,
Gilles Puy
,
Rémi Gribonval
,
Pierre Vandergheynst
Software
hal-02960679v1
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Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data
Batiste Le Bars
,
Aurélien Bellet
,
Marc Tommasi
,
Erick Lavoie
,
Anne-Marie Kermarrec
et al.
2022
Preprints, Working Papers, ...
hal-03905091v1
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Personalized and Private Peer-to-Peer Machine Learning
Aurélien Bellet
,
Rachid Guerraoui
,
Mahsa Taziki
,
Marc Tommasi
AISTATS 2018 - 21st International Conference on Artificial Intelligence and Statistics, Apr 2018, Lanzarote, Spain. pp.1-20
Conference papers
hal-01745796v1
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Joint Anomaly Detection and Spectral Unmixing for Planetary Hyperspectral Images
Sina Nakhostin
,
Harold Clenet
,
Thomas Corpetti
,
Nicolas Courty
Journal articles
hal-01377230v1
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Combinatorial Penalties: Which structures are preserved by convex relaxations?
Marwa El Halabi
,
Francis Bach
,
Volkan Cevher
AISTATS 2018 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2018, Canary Islands, Spain
Conference papers
hal-01652151v1
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D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning
Aurélien Bellet
,
Anne-Marie Kermarrec
,
Erick Lavoie
41st International Symposium on Reliable Distributed Systems (SRDS), 2022, Vienna, Austria
Conference papers
hal-03905085v1
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FeGAN: Scaling Distributed GANs
Rachid Guerraoui
,
Arsany Guirguis
,
Anne-Marie Kermarrec
,
Erwan Le Merrer
ACM/IFIP Middleware 2020 - Annual ACM/IFIP Middleware conference, Dec 2020, Delft / Virtual, Netherlands. ⟨10.1145/3423211.3425688⟩
Conference papers
hal-03118260v1
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GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation
Sina Sajadmanesh
,
Ali Shahin Shamsabadi
,
Aurélien Bellet
,
Daniel Gatica-Perez
USENIX Security 2023 - 32nd USENIX Security Symposium, Aug 2023, Anaheim, United States
Conference papers
hal-03905068v1
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Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning
Vivien Cabannes
,
Loucas Pillaud-Vivien
,
Francis Bach
,
Alessandro Rudi
NeurIPS 2021 - Thirty-fifth conference on Neural Information Processing Systems (NeurIPS), Dec 2021, Online, Unknown Region
Conference papers
hal-03454809v1
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Fast and Differentially Private Algorithms for Decentralized Collaborative Machine Learning
Aurélien Bellet
,
Rachid Guerraoui
,
Mahsa Taziki
,
Marc Tommasi
[Research Report] INRIA Lille. 2017, pp.1-18
Reports
hal-01665410v1
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Turning negative into positives! Exploiting "negative" results in Brain-Machine Interface (BMI) research
Fabien Lotte
,
Camille Jeunet
,
Ricardo Chavarriaga
,
Laurent Bougrain
,
Dave Thompson
et al.
Journal articles
hal-02375400v1
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A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip
Mathieu Even
,
Raphaël Berthier
,
Francis Bach
,
Nicolas Flammarion
,
Pierre Gaillard
et al.
NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Sydney (virtual), Australia. pp.1-32
Conference papers
hal-03405165v1
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Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems
Paraskevi Gkeka
,
Gabriel Stoltz
,
Amir Barati Farimani
,
Zineb Belkacemi
,
Michele Ceriotti
et al.
Journal articles
hal-02544153v1
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On the symmetries in the dynamics of wide two-layer neural networks
Karl Hajjar
,
Lenaic Chizat
2022
Preprints, Working Papers, ...
hal-03829400v4
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FANOK: Knockoffs in Linear Time
Armin Askari
,
Quentin Rebjock
,
Alexandre d'Aspremont
,
Laurent El Ghaoui
2020
Preprints, Working Papers, ...
hal-02983262v1
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Advances and Open Problems in Federated Learning
Peter Kairouz
,
Brendan H. Mcmahan
,
Brendan Avent
,
Aurélien Bellet
,
Mehdi Bennis
et al.
Foundations and Trends in Machine Learning, 2021, 14 (1-2), pp.1-210
Journal articles
hal-02406503v2
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Personalized and Private Peer-to-Peer Machine Learning
Aurélien Bellet
,
Rachid Guerraoui
,
Mahsa Taziki
,
Marc Tommasi
NIPS 2017 - Workshop on Machine Learning on the Phone and other Consumer Devices, Dec 2017, Long Beach, United States
Conference papers
hal-01665422v1
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The Spectral Bias of Polynomial Neural Networks
Moulik Choraria
,
Leello Dadi
,
Grigorios G. Chrysos
,
Julien Mairal
,
Volkan Cevher
et al.
ICLR 2022 - International Conference on Learning Representations, Apr 2022, Virtual, France. pp.1-30
Conference papers
hal-03878338v1
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DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimisation Problems *
Brammert Ottens
,
Christos Dimitrakakis
,
Boi Faltings
ACM Transactions on Intelligent Systems and Technology, In press, 8 (5), pp.1 - 27. ⟨10.1145/3066156⟩
Journal articles
hal-01593215v1
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Sparse Support Recovery with Non-smooth Loss Functions
Kévin Degraux
,
Gabriel Peyré
,
Jalal M. Fadili
,
Laurent Jacques
Advances in Neural Information Processing Systems (NIPS), Nov 2015, Barcelone, Spain
Conference papers
hal-01658855v1
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