GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks. - Kenza Amara; Zhitao Ying; Zitao Zhang; Zhichao Han 001; Yang Zhao; Yinan Shan; Ulrik Brandes; Sebastian Schemm; Ce Zhang 001 (LoG, 2022)

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks. - Kenza Amara; Rex Ying; Zitao Zhang; Zhihao Han; Yinan Shan; Ulrik Brandes; Sebastian Schemm; Ce Zhang 001 (CoRR, 2022)

Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings. - Simon Adamov; Joel Oskarsson; Leif Denby; Tomas Landelius; Kasper Hintz; Simon Christiansen; Irene Schicker; Carlos Osuna; Fredrik Lindsten; Oliver Fuhrer; Sebastian Schemm (CoRR, 2025)

Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes. - Fanny Lehmann; Firat Ozdemir; Benedikt Soja; Torsten Hoefler; Siddhartha Mishra; Sebastian Schemm (CoRR, 2025)