Andrzej Dulny

15 papers A* 2C 1Misc 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Identifying Axiomatic Mathematical Transformation Steps using Tree-Structured Pointer Networks.
Trans. Mach. Learn. Res.
Sebastian Wankerl, Jan Pfister, Andrzej Dulny, Gerhard Götz, Andreas Hotho
2025 J jnl
Physical knowledge improves prediction of EM Fields.
CoRR
Andrzej Dulny, Farzad Jabbarigargari, Andreas Hotho, Laura Maria Schreiber, Maxim Terekhov, Anna Krause
2025 — conf
TaylorNet: Learning PDEs from Non-Grid Data.
ML-DE
Andrzej Dulny, Paul Heinisch, Andreas Hotho, Anna Krause
2024 — conf
GrINd: Grid Interpolation Network for Scattered Observations.
ECML/PKDD (7)
Andrzej Dulny, Paul Heinisch, Andreas Hotho, Anna Krause
2024 J jnl
GrINd: Grid Interpolation Network for Scattered Observations.
CoRR
Andrzej Dulny, Paul Heinisch, Andreas Hotho, Anna Krause
2023 A* conf
Can Neural Networks Distinguish High-school Level Mathematical Concepts?
ICDM
Sebastian Wankerl, Andrzej Dulny, Gerhard Götz, Andreas Hotho
2023 — conf
DynaBench: A Benchmark Dataset for Learning Dynamical Systems from Low-Resolution Data.
ECML/PKDD (1)
Andrzej Dulny, Andreas Hotho, Anna Krause
2023 J jnl
DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data.
CoRR
Andrzej Dulny, Andreas Hotho, Anna Krause
2023 — conf
Liquor-HGNN: A heterogeneous graph neural network for leakage detection in water distribution networks.
LWDA
Melanie Schaller, Michael Steininger, Andrzej Dulny, Daniel Schlör, Andreas Hotho
2023 J jnl
TaylorPDENet: Learning PDEs from non-grid Data.
CoRR
Paul Heinisch, Andrzej Dulny, Anna Krause, Andreas Hotho
2022 J jnl
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?
CoRR
Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho
2022 Misc conf
NeuralPDE: Modelling Dynamical Systems from Data.
KI
Andrzej Dulny, Andreas Hotho, Anna Krause
2021 A* conf
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?
ICCV
Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho
2021 C conf
Learning Mathematical Relations Using Deep Tree Models.
ICMLA
Sebastian Wankerl, Andrzej Dulny, Gerhard Götz, Andreas Hotho
2021 J jnl
NeuralPDE: Modelling Dynamical Systems from Data.
CoRR
Andrzej Dulny, Andreas Hotho, Anna Krause