Dimitrios G. Giovanis

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Dimension Reduction

Laplacian Eigenmaps

Unsupervised Learning

Manifold Learning

Top Venues

J. Comput. Phys.

SIAM J. Sci. Comput.

Publications

Paris Papavasileiou, Dimitrios G. Giovanis, Gabriele Pozzetti, Martin Kathrein, Christoph Czettl, Ioannis G. Kevrekidis, Andreas G. Boudouvis, Stéphane P. A. Bordas, Eleni D. Koronaki
Integrating supervised and unsupervised learning approaches to unveil critical process inputs. CoRR (2024)
Geremy Loachamín Suntaxi, Paris Papavasileiou, Eleni D. Koronaki, Dimitrios G. Giovanis, Georgios Gakis, Ioannis G. Aviziotis, Martin Kathrein, Gabriele Pozzetti, Christoph Czettl, Stéphane P. A. Bordas, Andreas G. Boudouvis
Discovering deposition process regimes: leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis. CoRR (2024)
Nikolaos Evangelou, Dimitrios G. Giovanis, George A. Kevrekidis, Grigorios A. Pavliotis, Ioannis G. Kevrekidis
Machine Learning for the identification of phase-transitions in interacting agent-based systems. CoRR (2023)
Ketson R. M. dos Santos, Dimitrios G. Giovanis, Michael D. Shields
Grassmannian Diffusion Maps-Based Dimension Reduction and Classification for High-Dimensional Data. SIAM J. Sci. Comput. 44 (2) (2022)
Katiana Kontolati, Dimitrios Loukrezis, Dimitrios G. Giovanis, Lohit Vandanapu, Michael D. Shields
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems. CoRR (2022)
Katiana Kontolati, Dimitrios Loukrezis, Dimitrios G. Giovanis, Lohit Vandanapu, Michael D. Shields
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems. J. Comput. Phys. 464 (2022)
Katiana Kontolati, Dimitrios Loukrezis, Ketson R. M. dos Santos, Dimitrios G. Giovanis, Michael D. Shields
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models. CoRR (2021)