Mirko Thalmann

According to our database, Mirko Thalmann authored at least 10 papers between 2024 and 2026.

Collaborative distances:

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

2026

Measuring What AI Systems Might Do: Towards A Measurement Science in AI.

Konstantinos Voudouris, Mirko Thalmann, Alexander Kipnis, José Hernández-Orallo, Eric Schulz

CoRR, March, 2026

2025

Meta-learning ecological priors from large language models explains human learning and decision making.

Akshay K. Jagadish, Mirko Thalmann, Julian Coda-Forno, Marcel Binz, Eric Schulz

CoRR, September, 2025

A foundation model to predict and capture 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, 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

Nat., August, 2025

Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences.

Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bounded Ecologically Rational Meta-learned Inference Explains Human Category Learning.

Akshay Kumar Jagadish, Julian Coda-Forno, Mirko Thalmann, Marcel Binz, Eric Schulz

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 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

Ecologically rational meta-learned inference explains human category learning.

Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz

CoRR, 2024

Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks.

Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning abstractions from discrete sequences.

Shuchen Wu, Mirko Thalmann, Eric Schulz

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

The Effect of Set Size on Long-Term-Memory Retrieval Times in Cued Recall.

Susanne Haridi, Mirko Thalmann, Eric Schulz

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024