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Rémi Bardenet
92
Documents
Publications
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Smoothing complex-valued signals on Graphs with Monte-CarloICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes Island, Greece. ⟨10.1109/ICASSP49357.2023.10096354⟩
Communication dans un congrès
hal-03869873v1
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Une famille de représentations covariantes de signaux discrets et son application à la détection de signaux à partir de leurs zérosColloque Francophone de Traitement du Signal et des Images (GRETSI), Sep 2022, Nancy, France
Communication dans un congrès
hal-03614725v1
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Estimation de la fonction de structure d'un processus ponctuel pour l'étude d'hyperuniformitéXXVIIIème Colloque Francophone de Traitement du Signal et des Images GRETSI 2022, Sep 2022, Nancy, France
Communication dans un congrès
hal-03747149v1
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A public benchmark for denoising and detection methodsXXVIIIème Colloque Francophone du GRETSI, GRETSI, Sep 2022, Nancy, France. pp.1-4
Communication dans un congrès
hal-04102094v1
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Nonparametric estimation of continuous DPPs with kernel methodsNeurIPS 2021 - Thirty-fifth Conference on Neural Information Processing Systems, 2021, Virtual event, Turkmenistan
Communication dans un congrès
hal-03368398v1
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Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGDNeurIPS 2021 - Thirty-fifth Conference on Neural Information Processing Systems,, 2021, Virtual event, Turkmenistan
Communication dans un congrès
hal-03428445v1
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Kernel interpolation with continuous volume samplingICML 2020 - International Conference on Machine Learning, 2020, Vienna, Austria
Communication dans un congrès
hal-02697468v1
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Kernel quadrature with DPPsNeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Jun 2019, Vancouver, Canada
Communication dans un congrès
hal-02161143v1
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Un processus ponctuel déterminantal pour la sélection d'attributsGRETSI 2019, Aug 2019, Lille, France
Communication dans un congrès
hal-02439935v1
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On two ways to use determinantal point processes for Monte Carlo integrationNEGDEPML 2019 - ICML Workshop on Negative Dependence in ML, Jun 2019, Long Beach, CA, United States
Communication dans un congrès
hal-02160382v1
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A correspondence between zeros of time-frequency transforms and Gaussian analytic functions13th International Conference on Sampling Theory and Applications, SampTA 2019, Aug 2019, Bordeaux, France
Communication dans un congrès
hal-02091672v1
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On two ways to use determinantal point processes for Monte Carlo integration -- Long versionNeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Jun 2019, Vancouver, Canada
Communication dans un congrès
hal-02277739v1
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From random matrices to Monte Carlo integration via Gaussian quadratureIEEE Statistical Signal processing workshop, 2018, Freiburg, Germany
Communication dans un congrès
hal-01882393v1
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Zonotope hit-and-run for efficient sampling from projection DPPsInternational Conference on Machine Learning, 2017, Sydney, Australia
Communication dans un congrès
hal-01526577v2
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Inference for determinantal point processes without spectral knowledgeNeural Information Processing Systems (NIPS), Dec 2015, Montréal, Canada
Communication dans un congrès
hal-01245315v1
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Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approachInternational Conference on Machine Learning (ICML), 2014, Beijing, China. pp.405-413
Communication dans un congrès
hal-01254232v1
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Detection and estimation of high energy physical particles using Monte Carlo methodsColloque du GRETSI, Sep 2013, Brest, France
Communication dans un congrès
hal-02287064v1
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Highlights from the Pierre Auger Observatory33rd International Cosmic Ray Conference (ICRC2013), Jul 2013, Rio de Janeiro, Brazil
Communication dans un congrès
in2p3-00923571v1
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Collaborative hyperparameter tuning30th International Conference on Machine Learning (ICML 2013), Jun 2013, Atlanta, United States. pp.199-207
Communication dans un congrès
in2p3-00907381v1
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Adaptive Metropolis with online relabelingFifteenth International Conference on Artificial Intelligence and Statistics, Apr 2012, La Palma, Spain. pp.91-99
Communication dans un congrès
in2p3-00698479v1
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Monte Carlo methodsIN2P3 School of Statistics (SOS2012), May 2012, Autrans, France. pp.022002, ⟨10.1051/epjconf/20135502002⟩
Communication dans un congrès
in2p3-00846142v1
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The Pierre Auger Observatory II: Studies of Cosmic Ray Composition and Hadronic Interaction models32nd International Cosmic Ray Conference - ICRC 2011, 2011, Beijing, China
Communication dans un congrès
in2p3-00630600v1
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The Pierre Auger Observatory III: Other Astrophysical Observations32nd International Cosmic Ray Conference - ICRC 2011, 2011, Beijing, China
Communication dans un congrès
in2p3-00630613v1
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An adaptive Monte-Carlo Markov chain algorithm for inference from mixture signals14th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2011), Sep 2011, Uxbridge, United Kingdom. pp.012044, ⟨10.1088/1742-6596/368/1/012044⟩
Communication dans un congrès
in2p3-00714497v1
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Algorithms for Hyper-Parameter Optimization25th Annual Conference on Neural Information Processing Systems (NIPS 2011), Dec 2011, Granada, Spain
Communication dans un congrès
hal-00642998v1
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The Pierre Auger Observatory I: The Cosmic Ray Energy Spectrum and Related Measurements32nd International Cosmic Ray Conference (ICRC2011), 2011, Beijing, China
Communication dans un congrès
in2p3-00616470v1
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The Pierre Auger Observatory V: Enhancements32nd International Cosmic Ray Conference (ICRC2011), Aug 2011, Beijing, China
Communication dans un congrès
in2p3-00616493v1
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The Pierre Auger Observatory IV: Operation and Monitoring32nd International Cosmic Ray Conference - ICRC 2011, 2011, Beijing, China
Communication dans un congrès
in2p3-00630621v1
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Surrogating the surrogate: accelerating Gaussian-process-based global optimization with a mixture cross-entropy algorithm27th International Conference on Machine Learning (ICML 2010), Jun 2010, Haifa, Israel. pp.55-62
Communication dans un congrès
in2p3-00580438v1
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Relabelling MCMC Algorithms in Bayesian Mixture LearningSnowbird Learning Workshop, Apr 2011, Fort Lauderdale, United States
Poster de conférence
in2p3-00590956v1
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Sampling-based optimization with mixturesOPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, Dec 2009, Whistler, Canada
Poster de conférence
in2p3-00580580v1
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Towards adaptive learning and inference - Applications to hyperparameter tuning and astroparticle physicsMethodology [stat.ME]. Université Paris Sud - Paris XI, 2012. English. ⟨NNT : ⟩
Thèse
tel-00773295v1
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Turning repulsive point processes into subsampling algorithmsSignal and Image Processing. Université de Lille, 2022
HDR
tel-04458876v1
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