Heiko H. Schütt

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 9

Top Topics

Gamut Mapping Algorithms

Experimental Design

Unsupervised Learning

Top Venues

Publications

Ionatan Kuperwajs, Heiko H. Schütt, Wei Ji Ma
Improving a model of human planning via large-scale data and deep neural networks. CogSci (2022)
Heiko H. Schütt, Wei Ji Ma
Unsupervised learning of features and object boundaries from local prediction. CoRR (2022)
Tal Golan, Wenxuan Guo, Heiko H. Schütt, Nikolaus Kriegeskorte
Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments. CoRR (2022)
Dongjae Kim, Heiko H. Schütt, Wei Ji Ma
Reward Prediction Error Neurons Implement an Efficient Code for Reward. CogSci (2022)
Alban Flachot, Arash Akbarinia, Heiko H. Schütt, Roland W. Fleming, Felix A. Wichmann, Karl R. Gegenfurtner
Deep Neural Models for color discrimination and color constancy. CoRR (2020)
Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann
Generalisation in humans and deep neural networks. NeurIPS (2018)
Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann
Generalisation in humans and deep neural networks. CoRR (2018)
Robert Geirhos, David H. J. Janssen, Heiko H. Schütt, Jonas Rauber, Matthias Bethge, Felix A. Wichmann
Comparing deep neural networks against humans: object recognition when the signal gets weaker. CoRR (2017)
Felix A. Wichmann, David H. J. Janssen, Robert Geirhos, Guillermo Aguilar, Heiko H. Schütt, Marianne Maertens, Matthias Bethge
Methods and measurements to compare men against machines. HVEI (2017)