Accelerating Molecular Graph Neural Networks via Knowledge Distillation. - Filip Ekström Kelvinius; Dimitar Georgiev; Artur P. Toshev; Johannes Gasteiger (NeurIPS, 2023)

Discriminator Guidance for Autoregressive Diffusion Models. - Filip Ekström Kelvinius; Fredrik Lindsten (AISTATS, 2024)

Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo. - Filip Ekström Kelvinius; Zheng Zhao; Fredrik Lindsten (CoRR, 2025)

WyckoffDiff - A Generative Diffusion Model for Crystal Symmetry. - Filip Ekström Kelvinius; Oskar B. Andersson; Abhijith S. Parackal; Dong Qian; Rickard Armiento; Fredrik Lindsten (CoRR, 2025)