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hal-02191302v1  Conference papers
Antoine LiutkusUmut ImşekliSzymon MajewskiAlain DurmusFabian Robert-Stöter. Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States
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hal-01945345v1  Journal articles
Estefania CanoDerry FitzgeraldAntoine LiutkusMark PlumbleyFabian Robert-Stöter. Musical Source Separation: An Introduction
IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2019, 36 (1), pp.31-40. ⟨10.1109/MSP.2018.2874719⟩
hal-00864298v1  Conference papers
Leo DucasAlain DurmusTancrede LepointVadim Lyubashevsky. Lattice signatures and bimodal Gaussians
CRYPTO 2013 - 33rd Annual Cryptology Conference, Aug 2013, Santa Barbara, United States. pp.40-56, ⟨10.1007/978-3-642-40041-4_3⟩
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hal-01248012v1  Conference papers
Fabian Robert-StöterAntoine LiutkusRoland BadeauBernd EdlerPaul Magron. Common Fate Model for Unison source Separation
41st International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, Shanghai, China
hal-01111627v1  Conference papers
Léo DucasAlain Durmus. Ring-LWE in polynomial rings
PKC 2012 - International Conference on Practice and Theory in Public Key Cryptography, May 2012, Darmstadt, Germany. pp.34-51, ⟨10.1007/978-3-642-30057-8_3⟩
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lirmm-01766795v1  Conference papers
Mathieu FontaineFabian Robert-StöterAntoine LiutkusUmut SimsekliRomain Serizel et al.  Multichannel Audio Modeling with Elliptically Stable Tensor Decomposition
LVA/ICA: Latent Variable Analysis and Signal Separation, Jul 2018, Surrey, United Kingdom. pp.13-23, ⟨10.1007/978-3-319-93764-9_2⟩
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hal-01934291v1  Conference papers
Nicolas BrosseAlain DurmusÉric Moulines. The promises and pitfalls of Stochastic Gradient Langevin Dynamics
NeurIPS 2018 (Advances in Neural Information Processing Systems 2018), Dec 2018, Montreal, France
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lirmm-01766791v2  Conference papers
Fabian Robert-StöterAntoine LiutkusNobutaka Ito. The 2018 Signal Separation Evaluation Campaign
LVA/ICA: Latent Variable Analysis and Signal Separation, Jul 2018, Surrey, United Kingdom. pp.293-305, ⟨10.1007/978-3-319-93764-9_28⟩
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lirmm-01766781v1  Journal articles
Zafar RafiiAntoine LiutkusFabian Robert-StöterStylianos Ioannis MimilakisDerry Fitzgerald et al.  An Overview of Lead and Accompaniment Separation in Music
IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2018, 26 (8), pp.1307-1335. ⟨10.1109/TASLP.2018.2825440⟩
lirmm-02010805v1  Journal articles
Fabian Robert-StöterSoumitro ChakrabartyBernd EdlerEmanuël Habets. CountNet: Estimating the Number of Concurrent Speakers Using Supervised Learning
IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 27 (2), pp.268-282. ⟨10.1109/TASLP.2018.2877892⟩
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hal-01648667v1  Journal articles
Nicolas BrosseAlain DurmusÉric MoulinesSotirios Sabanis. The Tamed Unadjusted Langevin Algorithm
Stochastic Processes and their Applications, Elsevier, 2018, ⟨10.1016/j.spa.2018.10.002⟩
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hal-01472932v1  Conference papers
Antoine LiutkusFabian Robert-StöterZafar RafiiDaichi KitamuraBertrand Rivet et al.  The 2016 Signal Separation Evaluation Campaign
13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. pp.323 - 332, ⟨10.1007/978-3-319-53547-0_31⟩
hal-01668245v1  Journal articles
Alain DurmusÉric Moulines. Nonasymptotic convergence analysis for the unadjusted Langevin algorithm
Annals of Applied Probability, Institute of Mathematical Statistics (IMS), 2017, 27 (3), pp.1551 - 1587. ⟨10.1214/16-AAP1238⟩
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hal-01648666v2  Journal articles
Nicolas BrosseAlain DurmusÉric Moulines. Normalizing constants of log-concave densities
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2018, 12 (1), pp.851-889. ⟨10.1214/18-EJS1411⟩
hal-01971160v1  Journal articles
Alain DurmusSylvain Le CorffEric MoulinesGareth Roberts. Optimal scaling of the random walk Metropolis algorithm under L p mean differentiability
Journal of Applied Probability, Applied Probability Trust, 2017, 54 (04), pp.1233-1260