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Dimitris G. Giovanis

johns hopkins university

17H指数
63论文数
1.2K被引数
收录论文 28
发表时间
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Generative learning for slow manifolds and bifurcation diagrams生成学习在慢流形和分岔图中的应用
err2025-12-30
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PREAI
errEllis R. Crabtree; Dimitris G. Giovanis; Nikolaos Evangelou; Juan M. Bello-Rivas; Ioannis G. Kevrekidis
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UQpy Version 4.2: Uncertainty quantification with PythonUQpy版本4.2:基于Python的不确定性量化
err2025-09-01
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errOAAI
errKrill, Connor; Thiagarajan, Ponkrshnan; Pasparakis, George D.; Goswami, Somdatta; Tsapetis, Dimitrios; Giovanis, Dimitris G.; Shields, Michael D.
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Generative learning of densities on manifolds流形上的密度生成学习
err2025-07-30
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PREAI
errDimitris G. Giovanis; Ellis Crabtree; Roger G. Ghanem; Ioannis G. Kevrekidis
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Implementing NLP in industrial process modeling: Addressing categorical variables在工业过程建模中实施NLP:处理分类变量
err2025-05-15
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errKoronaki, Eleni D.; Loachamin-Suntaxi, Geremy; Papavasileiou, Paris; Giovanis, Dimitrios G.; Kathrein, Martin; Czettl, Christoph; Boudouvis, Andreas G.; Bordas, Stephane P. A.
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Integrating supervised and unsupervised learning approaches to unveil critical process inputs
err2025-01-01
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errPapavasileiou, Paris; Giovanis, Dimitrios G.; Pozzetti, Gabriele; Kathrein, Martin; Czettl, Christoph; Kevrekidis, Ioannis G.; Boudouvis, Andreas G.; Bordas, Stephane P. A.; Koronaki, Eleni D.
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Polynomial chaos expansions on principal geodesic Grassmannian submanifolds for surrogate modeling and uncertainty
err2024-12-01
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PREAI
errGiovanis, Dimitris G.; Loukrezis, Dimitrios; Kevrekidis, Ioannis G.; Shields, Michael D.
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Discovering deposition process regimes: Leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis
err2024-11-01
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errLoachamin-Suntaxi, Geremy; Papavasileiou, Paris; Koronaki, Eleni D.; Giovanis, Dimitrios G.; Gakis, Georgios; Aviziotis, Ioannis G.; Kathrein, Martin; Pozzetti, Gabriele; Czettl, Christoph; Bordas, Stephane P. A.; Boudouvis, Andreas G.
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Revealing the hidden structure of disordered materials by parameterizing their local structural manifold
err2024-05-24
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errHardin, Thomas J.; Chandross, Michael; Meena, Rahul; Fajardo, Spencer; Giovanis, Dimitris; Kevrekidis, Ioannis; Falk, Michael L.; Shields, Michael D.
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Data-driven uncertainty quantification in computational human head models
err2022-08-01
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errUpadhyay, Kshitiz; Giovanis, Dimitris G.; Alshareef, Ahmed; Knutsen, Andrew K.; Johnson, Curtis L.; Carass, Aaron; Bayly, Philip, V; Shields, Michael D.; Ramesh, K. T.
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Imprecise subset simulation
err2022-07-01
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errGiovanis, Dimitrios G.; Shields, Michael D.
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UQpy: A general purpose Python package and development environment for uncertainty quantification
err2020-11-01
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errOlivier, Audrey; Giovanis, Dimitris G.; Aakash, B. S.; Chauhan, Mohit; Vandanapu, Lohit; Shields, Michael D.
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A spectral stochastic formulation for nonlinear framed structures
err2019-01-01
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PREAI
errPapadopoulos, Vissarion; Kalogeris, Ioannis; Giovanis, Dimitris G.
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A data-driven computational homogenization method based on neural networks for the nonlinear anisotropic electrical response of graphene/polymer nanocomposites
err2018-10-11
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PREAI
errLu, Xiaoxin; Giovanis, Dimitris G.; Yvonnet, Julien; Papadopoulos, Vissarion; Detrez, Fabrice; Bai, Jinbo
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