Get started
Author

Peter Pavlík

Observed name: Pavlík, Peter
ORCID: 0000-0002-7468-5503
Observed ORCID: 0000-0002-7468-5503
OpenAlex ID: A5046787373
Fully differentiable Lagrangian convolutional neural network for physics-informed precipitation nowcasting
2025 · Peter Pavlík, Martin Výboh, et al. · Applied Computing and Geosciences · 7
PDF
Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning
2018 · Marek Lóderer, Peter Pavlík, et al. · Lecture notes in computer science · 4
The Utility of Physics-Informed Machine Learning in Solar Power Production Forecasting
2026 · Pavlík, Peter, Rohrhofer, Franz M., et al. · arXiv (Cornell University)
PDF
Slovak Radar Data 2018-2022
2026 · Pavlík, Peter · Zenodo (CERN European Organization for Nuclear Research)
Assessing the Utility of Volumetric Motion Fields for Radar-based Precipitation Nowcasting with Physics-informed Deep Learning
2026 · Pavlík, Peter, Ezzeddine, Anna Bou, et al. · arXiv (Cornell University)
PDF
Do Echo Top Heights Improve Deep Learning Rainfall Nowcasts? A Case Study in the Netherlands
2025 · Peter Pavlík, Marc Schleiss, et al. · Lecture notes in computer science
Do Echo Top Heights Improve Deep Learning Nowcasts?
2025 · Pavlík, Peter, Schleiss, Marc, et al. · arXiv (Cornell University)
PDF
Application of Transfer Learning techniques in one day ahead PV production prediction
2024 · Marek Lóderer, Michal Sandanus, et al. · EGU General Assembly Conference Abstracts
Fully Differentiable Physics-informed Lagrangian Convolutional Neural Network for Precipitation Nowcasting
2024 · Peter Pavlík, Martin Výboh, et al. · EGU General Assembly Conference Abstracts
Works count: 10
Citation count: 11
H-index: 2
I10-index:
Year
Topic
Type