Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images. - Julian G. Zilly; Joachim M. Buhmann; Dwarikanath Mahapatra (MLMI, 2015)

Recurrent Highway Networks. - Julian Georg Zilly; Rupesh Kumar Srivastava; Jan Koutník; Jürgen Schmidhuber (ICML, 2017)

Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation. - Julian G. Zilly; Joachim M. Buhmann; Dwarikanath Mahapatra (Comput. Medical Imaging Graph., 2017)

Inspiring Computer Vision System Solutions. - Julian G. Zilly; Amit Boyarski; Micael Carvalho; Amir Atapour Abarghouei; Konstantinos Amplianitis; Aleksandr Krasnov; Massimiliano Mancini; Hernán Gonzalez; Riccardo Spezialetti; Carlos Sampedro Pérez; Hao Li (CoRR, 2017)

Wormhole Learning. - Alessandro Zanardi; Julian G. Zilly; Andreas Aumiller; Andrea Censi; Emilio Frazzoli (ICRA, 2019)

Today Me, Tomorrow Thee: Efficient Resource Allocation in Competitive Settings using Karma Games. - Andrea Censi; Saverio Bolognani; Julian G. Zilly; Shima Sadat Mousavi; Emilio Frazzoli (ITSC, 2019)

Learning to Operate a Fleet of Cars. - Christian Fluri; Claudio Ruch; Julian G. Zilly; Jan Hakenberg; Emilio Frazzoli (ITSC, 2019)

Cross-Modal Learning Filters for RGB-Neuromorphic Wormhole Learning. - Alessandro Zanardi; Andreas Aumiller; Julian G. Zilly; Andrea Censi; Emilio Frazzoli (Robotics: Science and Systems, 2019)

The AI Driving Olympics at NeurIPS 2018. - Julian G. Zilly; Jacopo Tani; Breandan Considine; Bhairav Mehta; Andrea F. Daniele; Manfred Diaz; Gianmarco Bernasconi; Claudio Ruch; Jan Hakenberg; Florian Golemo; A. Kirsten Bowser; Matthew R. Walter; et al. (CoRR, 2019)

Quantifying the effect of representations on task complexity. - Julian G. Zilly; Lorenz Hetzel; Andrea Censi; Emilio Frazzoli (CoRR, 2019)

On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning. - Julian G. Zilly; Alessandro Achille; Andrea Censi; Emilio Frazzoli (NeurIPS, 2021)

Plasticity, Invariance, and Priors in Deep Neural Networks. - Julian G. Zilly (2022)