Heiko H. Schütt

According to our database, Heiko H. Schütt authored at least 8 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Unsupervised learning of features and object boundaries from local prediction.

Heiko H. Schütt, Wei Ji Ma

CoRR, 2022

Improving a model of human planning via large-scale data and deep neural networks.

Ionatan Kuperwajs, Heiko H. Schütt, Wei Ji Ma

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Reward Prediction Error Neurons Implement an Efficient Code for Reward.

Dongjae Kim, Heiko H. Schütt, Wei Ji Ma

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2020

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

2018

Generalisation in humans and deep neural networks.

Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, Felix A. Wichmann

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

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

Proceedings of the Human Vision and Electronic Imaging 2017, Burlingame, CA, USA, 29 January 2017, 2017