Concepedia
Statistics
Publications
9
Citations
408
H-Index
Active since
2021
Affiliations
Johns Hopkins University(Current)
Technische Universität Darmstadt
Brown University
John Brown University
Johns Hopkins Medicine
Katiana Kontolati is an author at Johns Hopkins University specializing in computing, machine learning, and deep learning.
Publications per year
2021–2025
Deep transfer operator learning for partial differential equations under conditional shift
Somdatta Goswami, Katiana Kontolati, Michael D. Shields et al. · Nature Machine Intelligence · 2022 · 119 citations · Full text
Computing, Computer Science, Mathematics +9
Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems
Katiana Kontolati, Somdatta Goswami, George Em Karniadakis et al. · Nature Communications · 2024 · 89 citations · Full text
Computing, Computer Science, Physics +14
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems
Katiana Kontolati, Dimitrios Loukrezis, Dimitris G. Giovanis et al. · arXiv (Cornell University) · 2022 · 54 citations · Full text
Computing, Computer Science, Mathematics +13
MANIFOLD LEARNING-BASED POLYNOMIAL CHAOS EXPANSIONS FOR HIGH-DIMENSIONAL SURROGATE MODELS
Katiana Kontolati, Dimitrios Loukrezis, Ketson R.M. dos Santos et al. · International Journal for Uncertainty Quantification · 2022 · 39 citations · Full text
Computing, Computational Engineering, Computer Science +15
On the influence of over-parameterization in manifold based surrogates and deep neural operators
Katiana Kontolati, Somdatta Goswami, Michael D. Shields et al. · Journal of Computational Physics · 2023 · 37 citations · Full text
Computing, Mathematics, Machine Learning +10
1–5 of 9