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Scalable Inference Algorithms for Determinantal Point Processes.. University of Washington, USA, (2020)One step clustering based on a-contrario framework for detection of alterations in historical violins., , , , и . ICPR, стр. 9348-9355. IEEE, (2020)Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes., , и . COLT, том 49 из JMLR Workshop and Conference Proceedings, стр. 103-115. JMLR.org, (2016)A Polynomial Time MCMC Method for Sampling from Continuous DPPs., и . CoRR, (2018)Approximation Algorithms for Finding Maximum Induced Expanders., и . CoRR, (2015)Multi-Temporal Image Analysis for Preventive Conservation of Historical Musical Instruments., , , , и . ACM Journal on Computing and Cultural Heritage, 16 (2): 35:1-35:19 (июня 2023)Analysis of Multi-temporal Image Series for the Preventive Conservation of Varnished Wooden Surfaces., , , , и . ISVC (1), том 13017 из Lecture Notes in Computer Science, стр. 166-179. Springer, (2021)A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes., и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 5438-5447. PMLR, (2019)A-contrario framework for detection of alterations in varnished surfaces., , , , и . J. Vis. Commun. Image Represent., (2022)Detection of alterations in historical violins with optical monitoring. (Détection des altérations des violons historiques par contrôle optique).. University of Paris-Saclay, France, (2022)