Katiana Kontolati

Orcid: 0000-0003-2027-9638

According to our database1, Katiana Kontolati authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving.
CoRR, 2024

2023
UQpy v4.1: Uncertainty quantification with Python.
SoftwareX, December, 2023

On the influence of over-parameterization in manifold based surrogates and deep neural operators.
J. Comput. Phys., April, 2023

Learning in latent spaces improves the predictive accuracy of deep neural operators.
CoRR, 2023

2022
Deep transfer operator learning for partial differential equations under conditional shift.
Nat. Mac. Intell., December, 2022

A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems.
J. Comput. Phys., 2022

Deep transfer learning for partial differential equations under conditional shift with DeepONet.
CoRR, 2022

2021
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra.
CoRR, 2021

Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models.
CoRR, 2021


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