Scholar
Artur P. Toshev
Google Scholar ID: Ck8g7NQAAAAJ
Technical University of Munich
geometric deep learning
graph neural networks
atoms
fluid mechanics
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Citations & Impact
All-time
Citations
90
H-index
6
i10-index
6
Publications
11
Co-authors
22
list available
Contact
Email
artur.toshev@tum.de
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Publications
3 items
Enhancing Diffusion-Based Sampling with Molecular Collective Variables
2025
Cited
0
LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
2025
Cited
0
Retro-Rank-In: A Ranking-Based Approach for Inorganic Materials Synthesis Planning
2025
Cited
0
Resume
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).
Co-authors
13 total
Nikolaus Adams
Professor für Aerodynamik und Strömungsmechanik, Technische Universität München
Johannes Brandstetter
Johannes Kepler University (JKU) Linz
Johannes Gasteiger, né Klicpera
Anthropic
Filip Ekström Kelvinius
Linköping University
Ludger Paehler
Technical University of Munich
Günter Klambauer
Prof., LIT AI Lab & Institute for Machine Learning, Johannes Kepler University
Andreas Fürst
Johannes Kepler University Linz, Institute for Machine Learning
Benedikt Alkin
Emmi AI