Adams, Nikolaus A.

7 publications

ICLRW 2025 On Learning Quasi-Lagrangian Turbulence Artur P. Toshev, Teodor Kalinov, Nicholas Gao, Stephan Günnemann, Nikolaus A. Adams

ICLRW 2025 UPT++: Latent Point Set Neural Operators for Modeling System State Transitions Andreas Fürst, Florian Sestak, Artur P. Toshev, Benedikt Alkin, Nikolaus A. Adams, Andreas Mayr, Günter Klambauer, Johannes Brandstetter

ICLRW 2024 JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework Artur Toshev, Harish Ramachandran, Jonas A. Erbesdobler, Gianluca Galletti, Johannes Brandstetter, Nikolaus A. Adams

ICML 2024 Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics Artur Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter

ICLRW 2024 Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics Artur Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter

ICLRW 2023 E($3$) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics Artur Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams

ICMLW 2022 On the Relationships Between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods Artur Toshev, Ludger Paehler, Andrea Panizza, Nikolaus A. Adams