Nikolaos Evangelou
Orcid: 0000-0002-2349-5566
According to our database1,
Nikolaos Evangelou
authored at least 13 papers
between 2021 and 2024.
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Bibliography
2024
Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era.
J. Comput. Phys., 2024
Comparing analytic and data-driven approaches to parameter identifiability: A power systems case study.
CoRR, 2024
From Noise to Signal: Unveiling Treatment Effects from Digital Health Data through Pharmacology-Informed Neural-SDE.
CoRR, 2024
2023
From partial data to out-of-sample parameter and observation estimation with diffusion maps and geometric harmonics.
Comput. Chem. Eng., October, 2023
Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space.
J. Comput. Phys., 2023
Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling.
CoRR, 2023
Machine Learning for the identification of phase-transitions in interacting agent-based systems.
CoRR, 2023
CoRR, 2023
2022
CoRR, 2022
Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning.
CoRR, 2021