Dr. Nadiia Derevianko
Education
- Researcher in Physics-enhanced Machine Learning at Technical University of Munich, Germany
Address
Technical University of Munich
TUM School of CIT
Department of Computer Science
Boltzmannstraße 3
85748 Garching
Germany
Office: MI 02.05.040
Email: nadiia.derevianko@tum.de
Office hours: by arrangement
Teaching
SoSe 2025
- Lecture: Algorithms for Scientific Computing (Monday 14:00-16:00, Wednesday 08:00-10:00, 6 SWS (4V + 2Ü) / 8 Credits, English)
Supervision: Student Theses
Ongoing Theses:
- Yichen Tang (Master's Thesis): Neural networks with adaptive activation functions and their application to the solution of PDEs
- Abdul Ikhlaq (Master's Thesis): Fast Algorithm for Protein-Ligand Docking
Publications
Recent preprints and publications:
- Nadiia Derevianko, Gerlind Plonka, Differential approximation of the Gaussian by short cosine sums with exponential error decay, Arxiv preprint: https://arxiv.org/abs/2307.13587 (revised)
- Nadiia Derevianko, Lennart Hübner, Parameter estimation for multivariate exponential sums via iterative rational approximation, Arxiv preprint: arxiv.org/abs/2504.19157
- Nadiia Derevianko, Recovery of rational functions via Hankel pencil method and sensitivities of the poles, Arxiv preprint: arxiv.org/abs/2406.13192 (revised)