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ORCIDJulian G. Zilly
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2020 – today
- 2022
[b1]Julian G. Zilly:
Plasticity, Invariance, and Priors in Deep Neural Networks. ETH Zurich, Zürich, Switzerland, 2022- 2021
- [c7]Julian G. Zilly, Alessandro Achille, Andrea Censi, Emilio Frazzoli:
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning. NeurIPS 2021: 12386-12399
2010 – 2019
- 2019
- [c6]Alessandro Zanardi, Julian G. Zilly, Andreas Aumiller, Andrea Censi, Emilio Frazzoli:
Wormhole Learning. ICRA 2019: 7899-7905 - [c5]Andrea Censi, Saverio Bolognani, Julian G. Zilly, Shima Sadat Mousavi, Emilio Frazzoli:
Today Me, Tomorrow Thee: Efficient Resource Allocation in Competitive Settings using Karma Games. ITSC 2019: 686-693 - [c4]Christian Fluri, Claudio Ruch, Julian G. Zilly, Jan Hakenberg, Emilio Frazzoli:
Learning to Operate a Fleet of Cars. ITSC 2019: 2292-2298 - [c3]Alessandro Zanardi, Andreas Aumiller, Julian G. Zilly, Andrea Censi, Emilio Frazzoli:
Cross-Modal Learning Filters for RGB-Neuromorphic Wormhole Learning. Robotics: Science and Systems 2019 - [i5]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, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi, Liam Paull:
The AI Driving Olympics at NeurIPS 2018. CoRR abs/1903.02503 (2019) - [i4]Andrea Censi, Saverio Bolognani, Julian G. Zilly, Shima Sadat Mousavi, Emilio Frazzoli:
Today Me, Tomorrow Thee: Efficient Resource Allocation in Competitive Settings using Karma Games. CoRR abs/1907.09198 (2019) - [i3]Julian G. Zilly, Lorenz Hetzel, Andrea Censi, Emilio Frazzoli:
Quantifying the effect of representations on task complexity. CoRR abs/1912.09399 (2019) - 2017
- [j1]Julian G. Zilly, Joachim M. Buhmann, Dwarikanath Mahapatra:
Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation. Comput. Medical Imaging Graph. 55: 28-41 (2017) - [c2]Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutník, Jürgen Schmidhuber:
Recurrent Highway Networks. ICML 2017: 4189-4198 - [i2]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:
Inspiring Computer Vision System Solutions. CoRR abs/1707.07210 (2017) - 2016
- [i1]Julian G. Zilly, Rupesh Kumar Srivastava, Jan Koutník, Jürgen Schmidhuber:
Recurrent Highway Networks. CoRR abs/1607.03474 (2016) - 2015
- [c1]Julian G. Zilly, Joachim M. Buhmann, Dwarikanath Mahapatra:
Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images. MLMI 2015: 136-143
Coauthor Index
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