On Repulsive and Attractive Teachers: Separating Correctness from Behavior in Self-Distillation

Anton Baumann, Akmal Ashirmatov, Leo Schmidt-Traub, Frederike Lübeck, Jonas Hübotter, Thomas Kleine Buening, Andreas Krause

Preprint, 2026

Reinforcement Learning via Self-Distillation

Jonas Hübotter, Frederike Lübeck, Lejs Behric, Anton Baumann, Marco Bagatella, Daniel Marta, Ido Hakimi, Idan Shenfeld, Thomas Kleine Buening, Carlos Guestrin, Andreas Krause

ICML, 2026

Best Paper Award at ICLR 2026 Workshop on Test-Time Updates

Apertus: Democratizing Open and Compliant LLMs for Global Language Environments

Project Apertus

ACL, 2025

Adaptable Cardiovascular Disease Risk Prediction from Heterogeneous Data using Large Language Models

Frederike Lübeck, Jonas Wildberger, Frederik Träuble, Maximilian Mordig, Sergios Gatidis, Andreas Krause, Bernhard Schölkopf

Preprint, 2025

From Structured Data to Clinical Notes: Robust Clinical Decision Support with Fine-Tuned LLMs

Frederike Lübeck, Jonas Wildberger, Frederik Träuble, Maximilian Mordig, Sergios Gatidis, Andreas Krause, Bernhard Schölkopf

ICML Workshop on Foundation Models for Structured Data, 2025

Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings

Frederike Lübeck, Charlotte Bunne, Gabriele Gut, Jacobo Sarabia del Castillo, Lucas Pelkmans, David Alvarez-Melis

NeurIPS Workshop Learning Meaningful Representations of Life, 2022 • Spotlight