Publications

Patricia Rubisch, M. I. Stefan, M. H. Hennig (2024). The role of temporal sensitivity of synaptic plasticity in representation learning. bioRxiv.

S. Haghiri, Patricia Rubisch, R. Geirhos, F. Wichmann, U. von Luxburg (2019). Comparison-based frameword for psychophysics: Lab versus crowdsourcing. arXiv.

S. Otte, Patricia Rubisch, M. V. Butz (2019). Gradient-based learning of compositional dynamics with modular RNNs. In ICANN.

R. Geirhos, Patricia Rubisch, J. Rauber, C. R. M. Temme, C. Michaelis, W. Brendel, F. A. Wichmann (2019). Inducing a human-like shape bias leads to emergent human-level distortion robustness in CNNs. Journal of Vision (19).

R. Geirhos, Patricia Rubisch, C. Michaelis, M. Bethge, F. A. Wichmann, W. Brendel (2019). ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness. In ICLR.