Bogdan Georgiev

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 21

Top Topics

Riemannian Metric

Expert Knowledge

Top Venues

Publications

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) (2023)
Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski
Quantum Circuit Evolution on NISQ Devices. CEC (2022)
Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds. CoRR (2021)
David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka
Advances in Password Recovery Using Generative Deep Learning Techniques. ICANN (3) (2021)
César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez
Learning Deep Generative Models for Queuing Systems. AAAI (2021)
Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds. ICLR (2021)
Georgios Arvanitidis, Bogdan Georgiev, Bernhard Schölkopf
A prior-based approximate latent Riemannian metric. CoRR (2021)
Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee, Georgios Arvanitidis
On the Impact of Stable Ranks in Deep Nets. CoRR (2021)
Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev
Combining expert knowledge and neural networks to model environmental stresses in agriculture. CoRR (2021)
César Ojeda, Ramsés J. Sánchez, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Bogdan Georgiev
Auto Encoding Explanatory Examples with Stochastic Paths. ICPR (2020)
Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda
Recurrent Point Review Models. IJCNN (2020)
César Ojeda, Bogdan Georgiev, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Ramsés J. Sánchez
Switching Dynamical Systems with Deep Neural Networks. ICPR (2020)
Lukas Franken, Bogdan Georgiev
Explorations in Quantum Neural Networks with Intermediate Measurements. ESANN (2020)
Victor Kolev, Bogdan Georgiev, Svetlin Penkov
Neural Abstract Reasoner. CoRR (2020)
Lukas Franken, Bogdan Georgiev, Sascha Mücke, M. Wolter, Nico Piatkowski, Christian Bauckhage
Gradient-free quantum optimization on NISQ devices. CoRR (2020)
Georgi Angelov, Bogdan Georgiev
On Learning a Control System without Continuous Feedback. ESANN (2020)
David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka
Generative Deep Learning Techniques for Password Generation. CoRR (2020)
Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda
Recurrent Point Review Models. CoRR (2020)
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)
Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, César Ojeda
Recurrent Point Processes for Dynamic Review Models. CoRR (2019)
César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez, Jannis Schücker, Bogdan Georgiev, Christian Bauckhage
Recurrent Adversarial Service Times. CoRR (2019)