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 (LWDA, 2019)

Recurrent Adversarial Service Times. - César Ojeda; Kostadin Cvejosky; Ramsés J. Sánchez; Jannis Schücker; Bogdan Georgiev; Christian Bauckhage (CoRR, 2019)

Recurrent Point Processes for Dynamic Review Models. - Kostadin Cvejoski; Ramsés J. Sánchez; Bogdan Georgiev; Jannis Schuecker; Christian Bauckhage; César Ojeda (CoRR, 2019)

On Learning a Control System without Continuous Feedback. - Georgi Angelov; Bogdan Georgiev (ESANN, 2020)

Explorations in Quantum Neural Networks with Intermediate Measurements. - Lukas Franken; Bogdan Georgiev (ESANN, 2020)

Switching Dynamical Systems with Deep Neural Networks. - César Ojeda; Bogdan Georgiev; Kostadin Cvejoski; Jannis Schücker; Christian Bauckhage; Ramsés J. Sánchez (ICPR, 2020)

Auto Encoding Explanatory Examples with Stochastic Paths. - César Ojeda; Ramsés J. Sánchez; Kostadin Cvejoski; Jannis Schücker; Christian Bauckhage; Bogdan Georgiev (ICPR, 2020)

Recurrent Point Review Models. - Kostadin Cvejoski; Ramsés J. Sánchez; Bogdan Georgiev; Christian Bauckhage; César Ojeda (IJCNN, 2020)

Neural Abstract Reasoner. - Victor Kolev; Bogdan Georgiev; Svetlin Penkov (CoRR, 2020)

Generative Deep Learning Techniques for Password Generation. - David Biesner; Kostadin Cvejoski; Bogdan Georgiev; Rafet Sifa; Erik Krupicka (CoRR, 2020)

Gradient-free quantum optimization on NISQ devices. - Lukas Franken; Bogdan Georgiev; Sascha Mücke; Moritz Wolter; Nico Piatkowski; Christian Bauckhage (CoRR, 2020)

Learning Deep Generative Models for Queuing Systems. - César Ojeda; Kostadin Cvejoski; Bogdan Georgiev; Christian Bauckhage; Jannis Schuecker; Ramsés J. Sánchez (AAAI, 2021)

Advances in Password Recovery Using Generative Deep Learning Techniques. - David Biesner; Kostadin Cvejoski; Bogdan Georgiev; Rafet Sifa; Erik Krupicka (ICANN (3), 2021)

Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds. - Bogdan Georgiev; Lukas Franken; Mayukh Mukherjee (ICLR, 2021)

A prior-based approximate latent Riemannian metric. - Georgios Arvanitidis; Bogdan Georgiev; Bernhard Schölkopf (CoRR, 2021)

On the Impact of Stable Ranks in Deep Nets. - Bogdan Georgiev; Lukas Franken; Mayukh Mukherjee; Georgios Arvanitidis (CoRR, 2021)

Combining expert knowledge and neural networks to model environmental stresses in agriculture. - Kostadin Cvejoski; Jannis Schuecker; Anne-Katrin Mahlein; Bogdan Georgiev (CoRR, 2021)

Quantum Circuit Evolution on NISQ Devices. - Lukas Franken; Bogdan Georgiev; Sascha Mücke; Moritz Wolter; Raoul Heese; Christian Bauckhage; Nico Piatkowski (CEC, 2022)

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; et al. (IEEE Trans. Knowl. Data Eng., 2023)

Advancing Geometry with AI: Multi-agent Generation of Polytopes. - Grzegorz Swirszcz; Adam Zsolt Wagner; Geordie Williamson; Sam Blackwell; Bogdan Georgiev; Alex Davies; S. M. Ali Eslami; Sébastien Racanière; Theophane Weber; Pushmeet Kohli (CoRR, 2025)