Artur P. Toshev

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Prize Collecting

Top Venues

Publications

Artur P. Toshev, Harish Ramachandran, Jonas A. Erbesdobler, Gianluca Galletti, Johannes Brandstetter, Nikolaus A. Adams
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework. CoRR (2024)
Artur P. Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics. CoRR (2024)
Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams
E(3) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics. CoRR (2023)
Artur P. Toshev, Gianluca Galletti, Fabian Fritz, Stefan Adami, Nikolaus A. Adams
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite. CoRR (2023)
Artur P. Toshev, Gianluca Galletti, Fabian Fritz, Stefan Adami, Nikolaus A. Adams
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite. NeurIPS (2023)
Artur P. Toshev, Ludger Paehler, Andrea Panizza, Nikolaus A. Adams
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods. CoRR (2023)
Filip Ekström Kelvinius, Dimitar Georgiev, Artur P. Toshev, Johannes Gasteiger
Accelerating Molecular Graph Neural Networks via Knowledge Distillation. NeurIPS (2023)
Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams
Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks. CoRR (2023)
Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams
Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks. GSI (2) (2021)