Jannis Schücker

According to our database, Jannis Schücker authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems.

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

IEEE Trans. Knowl. Data Eng., 2023

2021

Combining expert knowledge and neural networks to model environmental stresses in agriculture.

Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev

CoRR, 2021

Learning Deep Generative Models for Queuing Systems.

César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Auto Encoding Explanatory Examples with Stochastic Paths.

César Ojeda, Ramsés J. Sánchez, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Bogdan Georgiev

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Switching Dynamical Systems with Deep Neural Networks.

César Ojeda, Bogdan Georgiev, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Ramsés J. Sánchez

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Recurrent Point Processes for Dynamic Review Models.

Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, César Ojeda

CoRR, 2019

Recurrent Adversarial Service Times.

César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez, Jannis Schücker, Bogdan Georgiev, Christian Bauckhage

CoRR, 2019

Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning.

Laura von Rüden, Sebastian Mayer, Jochen Garcke, Christian Bauckhage, Jannis Schücker

CoRR, 2019

Patterns and Outliers in Temporal Point Processes.

César Ali Marin Ojeda, Kostadin Cvejoski, Rafet Sifa, Jannis Schücker, Christian Bauckhage

Proceedings of the Intelligent Systems and Applications, 2019

Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures.

Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Jannis Schücker, Stefan Wrobel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018

Informed Machine Learning Through Functional Composition.

Christian Bauckhage, César Ojeda, Jannis Schücker, Rafet Sifa, Stefan Wrobel

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

SPSA for Layer-Wise Training of Deep Networks.

Benjamin Wulff, Jannis Schücker, Christian Bauckhage

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome.

Jannis Schuecker, Maximilian Schmidt, Sacha J. van Albada, Markus Diesmann, Moritz Helias

PLoS Comput. Biol., 2017

Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator.

Jan Hahne, David Dahmen, Jannis Schuecker, Andreas Frommer, Matthias Bolten, Moritz Helias, Markus Diesmann

Frontiers Neuroinformatics, 2017