Trivial or Impossible — dichotomous data difficulty masks model differences (on ImageNet and beyond). - Kristof Meding; Luca M. Schulze Buschoff; Robert Geirhos; Felix A. Wichmann (ICLR, 2022)

Stochastic Gradient Descent Captures How Children Learn About Physics. - Luca M. Schulze Buschoff; Eric Schulz; Marcel Binz (CoRR, 2022)

The Acquisition of Physical Knowledge in Generative Neural Networks. - Luca M. Schulze Buschoff; Eric Schulz; Marcel Binz (ICML, 2023)

Have we built machines that think like people? - Luca M. Schulze Buschoff; Elif Akata; Matthias Bethge; Eric Schulz (CoRR, 2023)

metabench - A Sparse Benchmark to Measure General Ability in Large Language Models. - Alexander Kipnis; Konstantinos Voudouris; Luca M. Schulze Buschoff; Eric Schulz (CoRR, 2024)

Next state prediction gives rise to entangled, yet compositional representations of objects. - Tankred Saanum; Luca M. Schulze Buschoff; Peter Dayan; Eric Schulz (CoRR, 2024)

Centaur: a foundation model of human cognition. - Marcel Binz; Elif Akata; Matthias Bethge; Franziska Brändle; Fred Callaway; Julian Coda-Forno; Peter Dayan; Can Demircan; Maria K. Eckstein; Noémi Élteto; Thomas L. Griffiths 001; Susanne Haridi; et al. (CoRR, 2024)

metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models. - Alexander Kipnis; Konstantinos Voudouris; Luca M. Schulze Buschoff; Eric Schulz (ICLR, 2025)

Visual cognition in multimodal large language models. - Luca M. Schulze Buschoff; Elif Akata; Matthias Bethge; Eric Schulz (Nat. Mac. Intell., 2025)

Testing the limits of fine-tuning to improve reasoning in vision language models. - Luca M. Schulze Buschoff; Konstantinos Voudouris; Elif Akata; Matthias Bethge; Joshua B. Tenenbaum; Eric Schulz (CoRR, 2025)