Publications

• Konstantinos Voudouris, Mirko Thalmann, Alex Kipnis, José Hernández-Orallo, Eric Schulz (2026). Measuring what AI systems might do: Towards a measurement science in AI. Preprint.
• Alex Kipnis, Marcel Binz, Eric Schulz (2026). metabeta - A fast neural model for Bayesian mixed-effects regression. Preprint. Code.
• Alex Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz (2025). metabench - A sparse benchmark of reasoning and knowledge in Large Language Models. ICLR 2025. Poster. Code.
• Marcel Binz, …, Alex Kipnis, …, Eric Schulz (2025). A foundation model to predict and capture human cognition. Nature. Code.
• Joram Soch, …, Alex Kipnis, … (2025). StatProofBook/StatProofBook.github.io: The Book of Statistical Proofs. Zenodo.
• Heiko Schütt, Alex Kipnis, Jörn Diedrichsen, Nikolaus Kriegeskorte (2023). Statistical inference on representational geometries. eLife. Code.
• Alex Kipnis, Tilman Stephani, Vadim Nikulin (2019). Dynamic somatosensory perception and the role of pre-stimulus oscillatory activity. Neuro-Cognitive Psychology Symposium. Poster. Code.
• Alex Kipnis, Anna Lena Biel, Paul Sauseng (2019). Decoding the neural signal of uncertainty in template matching during visual search. Neuro-Cognitive Psychology Symposium. Poster.
• Alex Kipnis, Anna-Lena Schubert (2018). Exploratory analysis of convergence between decomposed ERPs and drift-diffusion model parameters. MindBrainBody Symposium. Poster.
• Jan Göttmann, Alex, Kipnis, Gidon Frischkorn, Anna-Lena Schubert (2018). Drifting through the noise: A diffusion model analysis of the interplay between processing and storage in working memory. TEAP. Poster.