Andrzej Dulny

According to our database, Andrzej Dulny authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

Physical knowledge improves prediction of EM Fields.

Andrzej Dulny, Farzad Jabbarigargari, Andreas Hotho, Laura Maria Schreiber, Maxim Terekhov, Anna Krause

CoRR, March, 2025

Identifying Axiomatic Mathematical Transformation Steps using Tree-Structured Pointer Networks.

Sebastian Wankerl, Jan Pfister, Andrzej Dulny, Gerhard Götz, Andreas Hotho

Trans. Mach. Learn. Res., 2025

Evaluating Spatiotemporal Prediction Models in a Low-Data Regime.

Andrzej Dulny, Paul Heinisch, Andreas Hotho, Anna Krause

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

TaylorNet: Learning PDEs from Non-Grid Data.

Andrzej Dulny, Paul Heinisch, Andreas Hotho, Anna Krause

Proceedings of the 2nd ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", 2025

2024

GrINd: Grid Interpolation Network for Scattered Observations.

Andrzej Dulny, Paul Heinisch, Andreas Hotho, Anna Krause

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

TaylorPDENet: Learning PDEs from non-grid Data.

Paul Heinisch, Andrzej Dulny, Anna Krause, Andreas Hotho

CoRR, 2023

DynaBench: A Benchmark Dataset for Learning Dynamical Systems from Low-Resolution Data.

Andrzej Dulny, Andreas Hotho, Anna Krause

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Liquor-HGNN: A heterogeneous graph neural network for leakage detection in water distribution networks.

Melanie Schaller, Michael Steininger, Andrzej Dulny, Daniel Schlör, Andreas Hotho

Proceedings of the Lernen, 2023

Can Neural Networks Distinguish High-school Level Mathematical Concepts?

Sebastian Wankerl, Andrzej Dulny, Gerhard Götz, Andreas Hotho

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

NeuralPDE: Modelling Dynamical Systems from Data.

Andrzej Dulny, Andreas Hotho, Anna Krause

Proceedings of the KI 2022: Advances in Artificial Intelligence, 2022

2021

Learning Mathematical Relations Using Deep Tree Models.

Sebastian Wankerl, Andrzej Dulny, Gerhard Götz, Andreas Hotho

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Do Different Deep Metric Learning Losses Lead to Similar Learned Features?

Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021