Luca M. Schulze Buschoff

According to our database, Luca M. Schulze Buschoff authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, February, 2025

Visual cognition in multimodal large language models.

Luca M. Schulze Buschoff, Elif Akata, Matthias Bethge, Eric Schulz

Nat. Mac. Intell., 2025

metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models.

Alexander Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Natalia Scharfenberg, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, 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

metabench - A Sparse Benchmark to Measure General Ability in Large Language Models.

Alexander Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz

CoRR, 2024

2023

Have we built machines that think like people?

Luca M. Schulze Buschoff, Elif Akata, Matthias Bethge, Eric Schulz

CoRR, 2023

The Acquisition of Physical Knowledge in Generative Neural Networks.

Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz

Proceedings of the International Conference on Machine Learning, 2023

2022

Stochastic Gradient Descent Captures How Children Learn About Physics.

Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz

CoRR, 2022

Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond).

Kristof Meding, Luca M. Schulze Buschoff, Robert Geirhos, Felix A. Wichmann

Proceedings of the Tenth International Conference on Learning Representations, 2022