Methods and measurements to compare men against machines. - Felix A. Wichmann; David H. J. Janssen; Robert Geirhos; Guillermo Aguilar; Heiko H. Schütt; Marianne Maertens; Matthias Bethge (HVEI, 2017)

Comparing deep neural networks against humans: object recognition when the signal gets weaker. - Robert Geirhos; David H. J. Janssen; Heiko H. Schütt; Jonas Rauber; Matthias Bethge; Felix A. Wichmann (CoRR, 2017)

Generalisation in humans and deep neural networks. - Robert Geirhos; Carlos R. Medina Temme; Jonas Rauber; Heiko H. Schütt; Matthias Bethge; Felix A. Wichmann (NeurIPS, 2018)

Deep Neural Models for color discrimination and color constancy. - Alban Flachot; Arash Akbarinia; Heiko H. Schütt; Roland W. Fleming; Felix A. Wichmann; Karl R. Gegenfurtner (CoRR, 2020)

Reward Prediction Error Neurons Implement an Efficient Code for Reward. - Dongjae Kim; Heiko H. Schütt; Wei Ji Ma (CogSci, 2022)

Improving a model of human planning via large-scale data and deep neural networks. - Ionatan Kuperwajs; Heiko H. Schütt; Wei Ji Ma (CogSci, 2022)

Unsupervised learning of features and object boundaries from local prediction. - Heiko H. Schütt; Wei Ji Ma (CoRR, 2022)

Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments. - Tal Golan; Wenxuan Guo; Heiko H. Schütt; Nikolaus Kriegeskorte (CoRR, 2022)

Bayesian Comparisons Between Representations. - Heiko H. Schütt (CoRR, 2024)

A margin-based replacement for cross-entropy loss. - Michael W. Spratling; Heiko H. Schütt (CoRR, 2025)