Artur P. Toshev

13 papers A* 3Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing Diffusion-Based Sampling with Molecular Collective Variables. CoRR Juno Nam, Bálint Máté, Artur P. Toshev, Manasa Kaniselvan, Rafael Gómez-Bombarelli, Ricky T. Q. Chen, Brandon M. Wood, Guan-Horng Liu, Benjamin Kurt Miller
2025	J	`jnl`	LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities. CoRR Florian Sestak, Artur P. Toshev, Andreas Fürst, Günter Klambauer, Andreas Mayr, Johannes Brandstetter
2025	J	`jnl`	Retro-Rank-In: A Ranking-Based Approach for Inorganic Materials Synthesis Planning. CoRR Thorben Prein, Elton Pan, Sami Haddouti, Marco Lorenz, Janik Jehkul, Tymoteusz Wilk, Cansu Moran, Menelaos Panagiotis Fotiadis, Artur P. Toshev, Elsa A. Olivetti, Jennifer L. M. Rupp
2024	J	`jnl`	JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework. CoRR Artur P. Toshev, Harish Ramachandran, Jonas A. Erbesdobler, Gianluca Galletti, Johannes Brandstetter, Nikolaus A. Adams
2024	A*	`conf`	Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics. ICML Artur P. Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter
2024	J	`jnl`	Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics. CoRR Artur P. Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter
2023	A*	`conf`	Accelerating Molecular Graph Neural Networks via Knowledge Distillation. NeurIPS Filip Ekström Kelvinius, Dimitar Georgiev, Artur P. Toshev, Johannes Gasteiger
2023	J	`jnl`	E(3) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics. CoRR Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams
2023	A*	`conf`	LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite. NeurIPS Artur P. Toshev, Gianluca Galletti, Fabian Fritz, Stefan Adami, Nikolaus A. Adams
2023	J	`jnl`	LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite. CoRR Artur P. Toshev, Gianluca Galletti, Fabian Fritz, Stefan Adami, Nikolaus A. Adams
2023	J	`jnl`	Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks. CoRR Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams
2023	J	`jnl`	On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods. CoRR Artur P. Toshev, Ludger Paehler, Andrea Panizza, Nikolaus A. Adams
2021	—	`conf`	Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks. GSI (2) Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams