Nikolaos Evangelou

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Laplacian Eigenmaps

Machine Learning

Top Venues

J. Comput. Phys.

Comput. Chem. Eng.

Publications

Samira Pakravan, Nikolaos Evangelou, Maxime Usdin, Logan Brooks, James Lu
From Noise to Signal: Unveiling Treatment Effects from Digital Health Data through Pharmacology-Informed Neural-SDE. CoRR (2024)
Eleni D. Koronaki, Nikolaos Evangelou, Cristina P. Martin-Linares, Edriss S. Titi, Ioannis G. Kevrekidis
Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era. J. Comput. Phys. 506 (2024)
Gianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Cristina P. Martin-Linares, Constantinos I. Siettos, Ioannis G. Kevrekidis
Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points. CoRR (2023)
Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis
From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics. CoRR (2023)
Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis
From partial data to out-of-sample parameter and observation estimation with diffusion maps and geometric harmonics. Comput. Chem. Eng. 178 (2023)
Eleni D. Koronaki, Nikolaos Evangelou, Cristina P. Martin-Linares, Edriss S. Titi, Ioannis G. Kevrekidis
Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era. CoRR (2023)
Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Alexei Makeev, Ioannis G. Kevrekidis
Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling. CoRR (2023)
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)
Nikolaos Evangelou, Felix Dietrich, Eliodoro Chiavazzo, Daniel Lehmberg, Marina Meila, Ioannis G. Kevrekidis
Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space. J. Comput. Phys. 485 (2023)
Golnar K. Mahani, Ruizhe Li, Nikolaos Evangelou, Stamatios Sotiropolous, Paul S. Morgan, Andrew P. French, Xin Chen
Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss. ISBI (2022)
Nikolaos Evangelou, Felix Dietrich, Eliodoro Chiavazzo, Daniel Lehmberg, Marina Meila, Ioannis G. Kevrekidis
Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space. CoRR (2022)
Nikolaos Evangelou, Felix Dietrich, Juan M. Bello-Rivas, Alex Yeh, Rachel Stein, Michael A. Bevan, Ioannis G. Kevrekidis
Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles. CoRR (2022)
Felix P. Kemeth, Tom Bertalan, Nikolaos Evangelou, Tianqi Cui, Saurabh Malani, Ioannis G. Kevrekidis
Initializing LSTM internal states via manifold learning. CoRR (2021)
Felix Dietrich, Alexei Makeev, George Kevrekidis, Nikolaos Evangelou, Tom Bertalan, Sebastian Reich, Ioannis G. Kevrekidis
Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning. CoRR (2021)
Nikolaos Evangelou, Noah J. Wichrowski, George A. Kevrekidis, Felix Dietrich, Mahdi Kooshkbaghi, Sarah McFann, Ioannis G. Kevrekidis
On the Parameter Combinations That Matter and on Those That do Not. CoRR (2021)