Peter Pavlík

According to our database, Peter Pavlík authored at least 5 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Volumetric Radar Echo Motion Estimation Using Physics-Informed Deep Learning: A Case Study Over Slovakia.

Peter Pavlík, Anna Bou Ezzeddine, Viera Rozinajová

CoRR, March, 2026

2025

Do Echo Top Heights Improve Deep Learning Nowcasts?

Peter Pavlík, Marc Schleiss, Anna Bou Ezzeddine, Viera Rozinajová

CoRR, July, 2025

2024

Fully Differentiable Lagrangian Convolutional Neural Network for Continuity-Consistent Physics-Informed Precipitation Nowcasting.

Peter Pavlík, Martin Výboh, Anna Bou Ezzeddine, Viera Rozinajová

CoRR, 2024

2022

Radar-Based Volumetric Precipitation Nowcasting: A 3D Convolutional Neural Network with U-Net Architecture.

Peter Pavlík, Viera Rozinajová, Anna Bou Ezzeddine

Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2018

Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning.

Marek Lóderer, Peter Pavlík, Viera Rozinajová

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018