Roland Badeau
12
Documents
Présentation
Publications
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Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections35th Conference on Neural Information Processing Systems (NeurIPS 2021), Dec 2021, En ligne, France
Communication dans un congrès
hal-03494781v1
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Approximate Bayesian computation with the sliced-Wasserstein distance45th International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelona, Spain. ⟨10.1109/icassp40776.2020.9054735⟩
Communication dans un congrès
hal-02457063v1
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Generalized Sliced Wasserstein DistancesNeurIPS 2019, Dec 2019, Vancouver, Canada
Communication dans un congrès
hal-02280948v1
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Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein DistanceNeurIPS 2019, Dec 2019, Vancouver, Canada
Communication dans un congrès
hal-02280944v1
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Alpha-stable low-rank plus residual decomposition for speech enhancementICASSP: International Conference on Acoustics, Speech, and Signal Processing, Apr 2018, Calgary, Canada. pp.651-655, ⟨10.1109/ICASSP.2018.8461539⟩
Communication dans un congrès
hal-01714909v1
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Multichannel Audio Modeling with Elliptically Stable Tensor DecompositionLVA/ICA 2018 - 14th International Conference on Latent Variable Analysis and Signal Separation, Jul 2018, Surrey, United Kingdom. pp.13-23, ⟨10.1007/978-3-319-93764-9_2⟩
Communication dans un congrès
lirmm-01766795v1
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Parallelized Stochastic Gradient Markov Chain Monte Carlo Algorithms for Non-Negative Matrix Factorization42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Mar 2017, New Orleans, United States
Communication dans un congrès
hal-01416357v1
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Alpha-Stable Multichannel Audio Source Separation42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Mar 2017, New Orleans, United States
Communication dans un congrès
hal-01416366v1
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Stochastic Quasi-Newton Langevin Monte CarloInternational Conference on Machine Learning (ICML), Jun 2016, New York, NY, United States
Communication dans un congrès
hal-01306596v1
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Stochastic thermodynamic integration: efficient Bayesian model selection via stochastic gradient MCMC41st International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, Shanghai, China
Communication dans un congrès
hal-01248011v1
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Stochastic Gradient Richardson-Romberg Markov Chain Monte CarloThirtieth Annual Conference on Neural Information Processing Systems (NIPS), Dec 2016, Barcelone, Spain
Communication dans un congrès
hal-01354064v1
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Approximate Bayesian computation with the sliced-Wasserstein distance2022
Pré-publication, Document de travail
hal-03945515v1
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