A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems
Kontolati, Katiana, Loukrezis, Dimitrios, Giovanis, Dimitrios G., Vandanapu, Lohit, Shields, Michael D.
Published in Journal of computational physics (01.09.2022)
Published in Journal of computational physics (01.09.2022)
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Imprecise subset simulation
Giovanis, Dimitrios G., Shields, Michael D.
Published in Probabilistic engineering mechanics (01.07.2022)
Published in Probabilistic engineering mechanics (01.07.2022)
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Journal Article
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems
Kontolati, Katiana, Loukrezis, Dimitrios, Giovanis, Dimitrios G., Vandanapu, Lohit, Shields, Michael D.
Published in Journal of computational physics (23.05.2022)
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Published in Journal of computational physics (23.05.2022)
Journal Article
Integrating supervised and unsupervised learning approaches to unveil critical process inputs
Papavasileiou, Paris, Giovanis, Dimitrios G., Pozzetti, Gabriele, Kathrein, Martin, Czettl, Christoph, Kevrekidis, Ioannis G., Boudouvis, Andreas G., Bordas, Stéphane P.A., Koronaki, Eleni D.
Published in Computers & chemical engineering (01.01.2025)
Published in Computers & chemical engineering (01.01.2025)
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Discovering deposition process regimes: Leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis
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Published in Chemical engineering journal advances (15.11.2024)
Published in Chemical engineering journal advances (15.11.2024)
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Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig example
Evangelou, Nikolaos, Giovanis, Dimitrios G, Kevrekidis, George A, Pavliotis, Grigorios A, Kevrekidis, Ioannis G
Published in arXiv.org (17.07.2024)
Published in arXiv.org (17.07.2024)
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Implementing LLMs in industrial process modeling: Addressing Categorical Variables
Koronaki, Eleni D, Suntaxi, Geremy Loachamin, Papavasileiou, Paris, Giovanis, Dimitrios G, Kathrein, Martin, Boudouvis, Andreas G, Bordas, Stéphane P. A
Year of Publication 27.09.2024
Year of Publication 27.09.2024
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Journal Article
Integrating supervised and unsupervised learning approaches to unveil critical process inputs
Papavasileiou, Paris, Giovanis, Dimitrios G, Pozzetti, Gabriele, Kathrein, Martin, Czettl, Christoph, Kevrekidis, Ioannis G, Boudouvis, Andreas G, Bordas, Stéphane P A, Koronaki, Eleni D
Published in arXiv.org (13.05.2024)
Published in arXiv.org (13.05.2024)
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Journal Article
Discovering deposition process regimes: leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis
Suntaxi, Geremy Loachamín, Papavasileiou, Paris, Koronaki, Eleni D, Giovanis, Dimitrios G, Gakis, Georgios, Aviziotis, Ioannis G, Kathrein, Martin, Pozzetti, Gabriele, Czettl, Christoph, Bordas, Stéphane P. A, Boudouvis, Andreas G
Year of Publication 24.05.2024
Year of Publication 24.05.2024
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Journal Article
Grassmannian diffusion maps based surrogate modeling via geometric harmonics
Ketson R M dos Santos, Giovanis, Dimitrios G, Kontolati, Katiana, Loukrezis, Dimitrios, Shields, Michael D
Published in arXiv.org (28.09.2021)
Published in arXiv.org (28.09.2021)
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Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models
Kontolati, Katiana, Loukrezis, Dimitrios, Ketson R M dos Santos, Giovanis, Dimitrios G, Shields, Michael D
Published in arXiv.org (21.07.2021)
Published in arXiv.org (21.07.2021)
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