Artur P. Toshev

According to our database, Artur P. Toshev authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework.

Artur P. Toshev, Harish Ramachandran, Jonas A. Erbesdobler, Gianluca Galletti, Johannes Brandstetter, Nikolaus A. Adams

CoRR, 2024

Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics.

Artur P. Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter

CoRR, 2024

2023

E(3) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics.

Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams

CoRR, 2023

On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods.

Artur P. Toshev, Ludger Paehler, Andrea Panizza, Nikolaus A. Adams

CoRR, 2023

LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite.

Artur P. Toshev, Gianluca Galletti, Fabian Fritz, Stefan Adami, Nikolaus A. Adams

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Accelerating Molecular Graph Neural Networks via Knowledge Distillation.

Filip Ekström Kelvinius, Dimitar Georgiev, Artur P. Toshev, Johannes Gasteiger

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks.

Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams

Proceedings of the Geometric Science of Information - 6th International Conference, 2021