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ORCIDJannis Schücker
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2020 – today
- 2023
[j3]Laura von Rüden
, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker:
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. IEEE Trans. Knowl. Data Eng. 35(1): 614-633 (2023)- 2021
- [c7]César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez:
Learning Deep Generative Models for Queuing Systems. AAAI 2021: 9214-9222 - [i4]Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev:
Combining expert knowledge and neural networks to model environmental stresses in agriculture. CoRR abs/2111.00918 (2021) - 2020
- [c6]César Ojeda, Ramsés J. Sánchez, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Bogdan Georgiev:
Auto Encoding Explanatory Examples with Stochastic Paths. ICPR 2020: 6219-6226 - [c5]César Ojeda, Bogdan Georgiev, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Ramsés J. Sánchez:
Switching Dynamical Systems with Deep Neural Networks. ICPR 2020: 6305-6312
2010 – 2019
- 2019
- [c4]Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Jannis Schücker, Stefan Wrobel:
Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures. ICANN (2) 2019: 595-607 - [c3]César Ali Marin Ojeda, Kostadin Cvejoski, Rafet Sifa, Jannis Schücker, Christian Bauckhage:
Patterns and Outliers in Temporal Point Processes. IntelliSys (1) 2019: 507-526 - [i3]Laura von Rüden, Sebastian Mayer, Jochen Garcke, Christian Bauckhage, Jannis Schücker:
Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning. CoRR abs/1903.12394 (2019) - [i2]César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez, Jannis Schücker, Bogdan Georgiev, Christian Bauckhage:
Recurrent Adversarial Service Times. CoRR abs/1906.09808 (2019) - [i1]Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, César Ojeda:
Recurrent Point Processes for Dynamic Review Models. CoRR abs/1912.04132 (2019) - 2018
- [c2]Benjamin Wulff, Jannis Schücker, Christian Bauckhage:
SPSA for Layer-Wise Training of Deep Networks. ICANN (3) 2018: 564-573 - [c1]Christian Bauckhage, César Ojeda, Jannis Schücker, Rafet Sifa, Stefan Wrobel:
Informed Machine Learning Through Functional Composition. LWDA 2018: 33-37 - 2017
- [j2]Jan Hahne, David Dahmen, Jannis Schuecker, Andreas Frommer, Matthias Bolten, Moritz Helias, Markus Diesmann:
Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator. Frontiers Neuroinformatics 11: 34 (2017) - [j1]Jannis Schuecker, Maximilian Schmidt, Sacha J. van Albada, Markus Diesmann, Moritz Helias:
Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. PLoS Comput. Biol. 13(2) (2017)
Coauthor Index
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