Katiana Kontolati's Projects
The source code for "Deep transfer learning for conditional shift in regression"
Classification of lowercase handwritten Greek letters (dataset provided).
Codes of the Computer Vision team for the ''Research and Design in Applied Mathematics: Data Mining'' class (Spring 2021, Johns Hopkins University).
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
Source code of "Manifold learning for coarse-graining atomistic simulations: Application to amorphous solids".
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
My website
A beautiful, simple, clean, and responsive Jekyll theme for academics
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
Source code of "On the influence of over-parameterization in manifold based surrogates and deep neural operators".
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
Codes for "Neural Density Estimation and Uncertainty Quantification for Laser Induced Breakdown Spectroscopy Spectra".