Publikationen

Transformer Learning in Sequence-Based Drug Design Depends on Compound Memorization and Similarity of Sequence-Compound Pairs

Bajorath, Jürgen, 2026

Veröffentlicht in: Molecular Informatics

Do Tabular Foundation Models Learn Rules or Memorize Exemplars?

Balef, Amir Rezaei; Koshil, Mykhailo; Nourani-Koliji, Behzad; Eggensperger, Katharina, 2026

Quantum Computing from Hopfield Nets: A Textbook with Python Code Examples

Bauckhage, Christian; Sifa, Rafet, 2026

Veröffentlicht in: Cognitive Technologies

A Comparative Analysis of Prediction Intervals for Forecasting in the Recycling Sector

Becker, Jakob; Bommert, Andrea; Rehof, Jakob; Pauly, Markus, 2026

{RapidParc}: A global-context transformer for parallel, accurate, and lesion-robust tractogram parcellation

Bisten, Justus; von Bornhaupt, Valentin; Grün, Johannes; Bauer, Tobias; Rüber, Theodor; Schultz, Thomas, 2026

Veröffentlicht in: Imaging Neuroscience

The Epistemic Alignment Problem of Machine Learning

Boge, Florian J., 2026

Scalable Learning of Multivariate Distributions via Coresets

Ding, Zeyu; Ickstadt, Katja; Klein, Nadja; Munteanu, Alexander; Omlor, Simon, 2026

{A Bounded Parallel Intersection Type System}

Dudenhefner, Andrej; Schubert, Aleksy; Rehof, Jakob, 2026

{MoAngelo}: Motion-Aware Neural Surface Reconstruction for Dynamic Scenes

Ebbed, Mohamed; Lähner, Zorah, 2026

RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting

Eddin, Mohamad Hakam Shams; Zhang, Yikui; Kollet, Stefan; Gall, Juergen, 2026