Learning What and Where - Unsupervised Disentangling Location and Identity Tracking. - Manuel Traub; Sebastian Otte; Tobias Menge; Matthias Karlbauer; Jannik Thümmel; Martin V. Butz (CoRR, 2022)

Learning What and Where: Disentangling Location and Identity Tracking Without Supervision. - Manuel Traub; Sebastian Otte; Tobias Menge; Matthias Karlbauer; Jannik Thümmel; Martin V. Butz (ICLR, 2023)

Inductive biases in deep learning models for weather prediction. - Jannik Thümmel; Matthias Karlbauer; Sebastian Otte; Christiane Zarfl; Georg Martius; Nicole Ludwig 002; Thomas Scholten; Ulrich Friedrich; Volker Wulfmeyer; Bedartha Goswami; Martin V. Butz (CoRR, 2023)

A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime. - Jakob Schlör; Matthew Newman; Jannik Thümmel; Antonietta Capotondi; Bedartha Goswami (CoRR, 2024)