Artur P. Toshev
Scholar

Artur P. Toshev

Google Scholar ID: Ck8g7NQAAAAJ
Technical University of Munich
geometric deep learninggraph neural networksatomsfluid mechanics
Citations & Impact
All-time
Citations
90
 
H-index
6
 
i10-index
6
 
Publications
11
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Published 'Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics' at ICML 2024.
  • Published 'LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite' at NeurIPS 2023 (Datasets and Benchmarks Track).
  • Published 'Accelerating Molecular Graph Neural Networks via Knowledge Distillation' at NeurIPS 2023 / LOG 2023 (oral presentation).
  • Published work on E(3)-equivariant GNNs for particle-based fluid simulation at GSI 2023 and ICLR 2023 Physics4ML workshop.
  • Multiple papers accepted at top-tier conferences (ICLR, ICML, NeurIPS) and associated workshops, covering fluid dynamics, molecular GNNs, and differential equation solvers.
  • Developed and maintains open-source projects including JAX-SPH (differentiable SPH framework) and LagrangeBench (Lagrangian fluid benchmark suite).