Learning Integrable Dynamics with Action-Angle Networks. - Ameya Daigavane; Arthur Kosmala; Miles D. Cranmer; Tess E. Smidt; Shirley Ho (CoRR, 2022)

Ewald-based Long-Range Message Passing for Molecular Graphs. - Arthur Kosmala; Johannes Gasteiger; Nicholas Gao; Stephan Günnemann (ICML, 2023)

On the Scalability of Certified Adversarial Robustness with Generated Data. - Thomas Altstidl; David Dobre; Arthur Kosmala; Bjoern M. Eskofier; Gauthier Gidel; Leo Schwinn (NeurIPS, 2024)

Spatio-Spectral Graph Neural Networks. - Simon Geisler; Arthur Kosmala; Daniel Herbst; Stephan Günnemann (NeurIPS, 2024)

Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification. - Jan Schuchardt; Mihail Stoian; Arthur Kosmala; Stephan Günnemann (NeurIPS, 2024)

Group Privacy Amplification and Unified Amplification by Subsampling for Rényi Differential Privacy. - Jan Schuchardt; Mihail Stoian; Arthur Kosmala; Stephan Günnemann (CoRR, 2024)