Publications:
Computational Vision and Neuroscience 

Journal Article (5)

1.
Journal Article
Wallis, T.; Tobias, S.; Bethge, M.; Wichmann, F.: Correction to: Detecting distortions of peripherally presented letter stimuli under crowded conditions. Attention, Perception & Psychophysics 81 (8), pp. 2968 - 2970 (2019)
2.
Journal Article
Sinz, F.; Pitkow, X.; Reimer, J.; Bethge, M.; Tolias, A.: Engineering a Less Artificial Intelligence. Neuron 103 (6), pp. 967 - 979 (2019)
3.
Journal Article
Cadena, S.; Denfield, G.; Walker, E.; Gatys, L.; Tolias, A.; Bethge, M.; Ecker, A.: Deep convolutional models improve predictions of macaque V1 responses to natural images. PLoS Computational Biology 15 (4), pp. 1 - 27 (2019)
4.
Journal Article
Wallis, T.; Funke, C.; Ecker, A.; Gatys, L.; Wichmann, F.; Bethge, M.: Image content is more important than Bouma’s Law for scene metamers. eLife 8, pp. 1 - 43 (2019)
5.
Journal Article
Wallis, T.; Funke, C.; Ecker, A.; Gatys, L.; Wichmann, F.; Bethge, M.: Image content is more important than1Bouma’s Law for scene metamers. eLife 8, pp. 1 - 43 (2019)

Conference Paper (3)

6.
Conference Paper
Geirhos, R.; Medina Temme, C.; Rauber, J.; Schuett, H.; Bethge, M.; Wichmann, F.: Generalisation in humans and deep neural networks. In: Advances in Neural Information Processing Systems 31, pp. 7549 - 7561 (Eds. Bengio, S.; Wallach, H.; Larochelle, H.; Grauman, K.; Cesa-Bianchi, N. et al.). Thirty-second Annual Conference on Neural Information Processing Systems 2018 (NeurIPS 2018), Montréal, Canada, December 03, 2018 - December 08, 2018. Curran, Red Hook, NY, USA (2019)
7.
Conference Paper
Ecker, A.; Sinz, F.; Froudarakis, E.; Fahey, P.; Cadena, S.; Walker, E.; Cobos, E.; Reimer, J.; Tolias, A.; Bethge, M.: A rotation-equivariant convolutional neural network model of primary visual cortex. In: Seventh International Conference on Learning Representations (ICLR 2019), pp. 1 - 11. Seventh International Conference on Learning Representations (ICLR 2019), New Orleans, LA, USA, May 06, 2019 - May 09, 2019. (2019)
8.
Conference Paper
Schott, L.; Rauber, J.; Bethge, M.; Brendel, W.: Towards the First Adversarially Robust Neural Network Model on MNIST. In: Seventh International Conference on Learning Representations (ICLR 2019), pp. 1 - 16. Seventh International Conference on Learning Representations (ICLR 2019), New Orleans, LA, USA, May 06, 2019 - May 09, 2019. (2019)

Poster (2)

9.
Poster
Geirhos, R.; Rubisch, P.; Rauber, J.; Medina Temme, C.; Michaelis, C.; Brendel, W.; Bethge, M.; Wichmann, F.: Inducing a human-like shape bias leads to emergent human-level distortion robustness in CNNs. Nineteenth Annual Meeting of the Vision Sciences Society (VSS 2019), St. Pete Beach, FL, USA (2019)
10.
Poster
Michaelis, C.; Weller, M.; Funke, C.; Ecker, A.; Wallis , T.; Bethge, M.: Comparing Search Strategies of Humans and Machines in Clutter. Nineteenth Annual Meeting of the Vision Sciences Society (VSS 2019), St. Pete Beach, FL, USA (2019)
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