Bogdan Georgiev

According to our database, Bogdan Georgiev authored at least 19 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• 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

2022

Quantum Circuit Evolution on NISQ Devices.

Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

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

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

CoRR, 2021

On the Impact of Stable Ranks in Deep Nets.

Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee, Georgios Arvanitidis

CoRR, 2021

A prior-based approximate latent Riemannian metric.

Georgios Arvanitidis, Bogdan Georgiev, Bernhard Schölkopf

CoRR, 2021

Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds.

Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee

Proceedings of the 9th International Conference on Learning Representations, 2021

Advances in Password Recovery Using Generative Deep Learning Techniques.

David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 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

Gradient-free quantum optimization on NISQ devices.

Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Nico Piatkowski, Christian Bauckhage

CoRR, 2020

Generative Deep Learning Techniques for Password Generation.

David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka

CoRR, 2020

Neural Abstract Reasoner.

Victor Kolev, Bogdan Georgiev, Svetlin Penkov

CoRR, 2020

Recurrent Point Review Models.

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 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

Explorations in Quantum Neural Networks with Intermediate Measurements.

Lukas Franken, Bogdan Georgiev

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

On Learning a Control System without Continuous Feedback.

Georgi Angelov, Bogdan Georgiev

Proceedings of the 28th European Symposium on Artificial Neural Networks, 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

RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels.

Eduardo Brito, Bogdan Georgiev, Daniel Domingo-Fernández, Charles Tapley Hoyt, Christian Bauckhage

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019