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Katiana Kontolati
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Deep transfer operator learning for partial differential equations under conditional shift
S Goswami, K Kontolati, MD Shields, GE Karniadakis
Nature Machine Intelligence 4 (12), 1155-1164, 2022
122*2022
On the influence of over-parameterization in manifold based surrogates and deep neural operators
K Kontolati, S Goswami, MD Shields, GE Karniadakis
Journal of Computational Physics 479, 112008, 2023
502023
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems
K Kontolati, D Loukrezis, DG Giovanis, L Vandanapu, MD Shields
Journal of Computational Physics 464, 111313, 2022
482022
Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems
K Kontolati, S Goswami, G Em Karniadakis, MD Shields
Nature Communications 15 (1), 5101, 2024
46*2024
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models
K Kontolati, D Loukrezis, KRM Dos Santos, DG Giovanis, MD Shields
International Journal for Uncertainty Quantification 12 (4), 2022
432022
Manifold learning for coarse-graining atomistic simulations: Application to amorphous solids
K Kontolati, D Alix-Williams, NM Boffi, ML Falk, CH Rycroft, MD Shields
Acta Materialia 215, 117008, 2021
192021
Uqpy v4. 1: Uncertainty quantification with python
D Tsapetis, MD Shields, DG Giovanis, A Olivier, L Novak, P Chakroborty, ...
SoftwareX 24, 101561, 2023
122023
Grassmannian diffusion maps based surrogate modeling via geometric harmonics
KRM dos Santos, DG Giovanis, K Kontolati, D Loukrezis, MD Shields
International Journal for Numerical Methods in Engineering 123 (15), 3507-3529, 2022
112022
Numerical investigation of weak axis I profile connections
K Kontolati, A Koukouselis, O Panagouli
Master's thesis, University of Thessaly, Greece, 2018
112018
Synergistic learning with multi-task deeponet for efficient pde problem solving
V Kumar, S Goswami, K Kontolati, MD Shields, GE Karniadakis
Neural Networks 184, 107113, 2025
62025
Multi-fidelity metamodeling in turbine blade airfoils via transfer learning on manifolds
K Kontolati, P Tsilifis, S Ghosh, V Andreoli, M Shields, L Wang
AIAA SCITECH 2023 Forum, 0918, 2023
32023
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra
K Kontolati, N Klein, N Panda, D Oyen
arXiv preprint arXiv:2108.08709, 2021
22021
Numerical analysis of mesenchymal stem cell mechanotransduction dynamics reveals homoclinic bifurcations
K Kontolati, C Siettos
International Journal of Non-Linear Mechanics 113, 146-157, 2019
12019
Leveraging intrinsic model and data structures for predictive physics-based modeling and uncertainty quantification
K Kontolati
Johns Hopkins University, 2023
2023
Neural Density Estimation and Uncertainty Quantification for ChemCam Spectra [Slides]
K Kontolati, N Panda, NE Klein, JS Moore, DA Oyen
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2021
2021
Multiscale Modeling of Plasticity in Amorphous Solids: Machine Learning Constitutive Response
M Falk, D Alix-Williams, A Hinkle, D Giovanis, K Kontolati, C Rycroft, ...
APS March Meeting Abstracts 2021, Y20. 001, 2021
2021
Αριθμητική προσομοίωση συνδέσεων ασθενούς άξονα διατομών διπλού ταυ
ΚΣ Κοντολάτη
2017
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