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2020 – today
- 2023
[j1]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)- 2022
- [c10]Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski:
Quantum Circuit Evolution on NISQ Devices. CEC 2022: 1-8 - 2021
- [c9]César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez:
Learning Deep Generative Models for Queuing Systems. AAAI 2021: 9214-9222 - [c8]David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka:
Advances in Password Recovery Using Generative Deep Learning Techniques. ICANN (3) 2021: 15-27 - [c7]Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee:
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds. ICLR 2021 - [i10]Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee:
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds. CoRR abs/2101.06061 (2021) - [i9]Georgios Arvanitidis, Bogdan Georgiev, Bernhard Schölkopf:
A prior-based approximate latent Riemannian metric. CoRR abs/2103.05290 (2021) - [i8]Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee, Georgios Arvanitidis:
On the Impact of Stable Ranks in Deep Nets. CoRR abs/2110.02333 (2021) - [i7]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]Georgi Angelov, Bogdan Georgiev:
On Learning a Control System without Continuous Feedback. ESANN 2020: 109-114 - [c5]Lukas Franken, Bogdan Georgiev:
Explorations in Quantum Neural Networks with Intermediate Measurements. ESANN 2020: 297-302 - [c4]César Ojeda, Ramsés J. Sánchez, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Bogdan Georgiev:
Auto Encoding Explanatory Examples with Stochastic Paths. ICPR 2020: 6219-6226 - [c3]César Ojeda, Bogdan Georgiev, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Ramsés J. Sánchez:
Switching Dynamical Systems with Deep Neural Networks. ICPR 2020: 6305-6312 - [c2]Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda:
Recurrent Point Review Models. IJCNN 2020: 1-8 - [i6]Victor Kolev, Bogdan Georgiev, Svetlin Penkov:
Neural Abstract Reasoner. CoRR abs/2011.09860 (2020) - [i5]Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda:
Recurrent Point Review Models. CoRR abs/2012.05684 (2020) - [i4]David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka:
Generative Deep Learning Techniques for Password Generation. CoRR abs/2012.05685 (2020) - [i3]Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Nico Piatkowski, Christian Bauckhage:
Gradient-free quantum optimization on NISQ devices. CoRR abs/2012.13453 (2020)
2010 – 2019
- 2019
- [c1]Eduardo Brito, Bogdan Georgiev, Daniel Domingo-Fernández, Charles Tapley Hoyt, Christian Bauckhage:
RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels. LWDA 2019: 74-78 - [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)
Coauthor Index
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