Luca M. Schulze Buschoff
I am a second year PhD student in cognitive science and machine learning under the supervision of Dr. Eric Schulz in the Institute for Human-Centered AI at Helmholtz AI, Munich Germany.

Publications
• Testing the limits of fine-tuning to improve reasoning in vision language models. L. M. Schulze Buschoff*, K. Voudouris*, E. Akata, M. Bethge, J. B. Tenenbaum, E. Schulz International Conference on Machine Learning (ICML 2025)
• Visual cognition in multimodal large language models. L. M. Schulze Buschoff*, E. Akata*, M. Betthge, E. Schulz. Nature Machine Intelligence (2025)
• Next state prediction gives rise to entangled, yet compositional representations of objects. T. Saanum, L. M. Schulze Buschoff, P. Dayan, E. Schulz. Under review (2024)
• metabench -- A Sparse Benchmark to Measure General Ability in Large Language Models. A. Kipnis, K. Voudouris, L. M. Schulze Buschoff, E. Schulz. ICLR (2025)
• The Acquisition of Physical Knowledge in Generative Neural Networks. L. M. Schulze Buschoff, E. Schulz, M. Binz. International Conference on Machine Learning (ICML 2023)
• Trivial or Impossible—dichotomous data difficulty masks model differences (on ImageNet and beyond). K. Meding*, L. M. Schulze Buschoff*, R. Geirhos, F. A. Wichmann. International Conference on Learning Representations (ICLR 2022)
• ImageNet suffers from dichotomous data difficulty. K. Meding*, L. M. Schulze Buschoff*, R. Geirhos, F. A. Wichmann. ImageNet: past, present, and future workshop (NeurIPS 2021)

Contact
luca.schulze-buschoff [at] helmholtz-munich.de