Bogdan Georgiev

23 papers A* 2B 6Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advancing Geometry with AI: Multi-agent Generation of Polytopes. CoRR Grzegorz Swirszcz, Adam Zsolt Wagner, Geordie Williamson, Sam Blackwell, Bogdan Georgiev, Alex Davies, S. M. Ali Eslami, Sébastien Racanière, Theophane Weber, Pushmeet Kohli
2025	J	`jnl`	Mathematical exploration and discovery at scale. CoRR Bogdan Georgiev, Javier Gómez-Serrano, Terence Tao, Adam Zsolt Wagner
2023	J	`jnl`	Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. IEEE Trans. Knowl. Data Eng. 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
2022	B	`conf`	Quantum Circuit Evolution on NISQ Devices. CEC Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski
2021	J	`jnl`	A prior-based approximate latent Riemannian metric. CoRR Georgios Arvanitidis, Bogdan Georgiev, Bernhard Schölkopf
2021	—	`conf`	Advances in Password Recovery Using Generative Deep Learning Techniques. ICANN (3) David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka
2021	J	`jnl`	Combining expert knowledge and neural networks to model environmental stresses in agriculture. CoRR Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev
2021	A*	`conf`	Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds. ICLR Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee
2021	J	`jnl`	Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds. CoRR Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee
2021	A*	`conf`	Learning Deep Generative Models for Queuing Systems. AAAI César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez
2021	J	`jnl`	On the Impact of Stable Ranks in Deep Nets. CoRR Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee, Georgios Arvanitidis
2020	B	`conf`	Auto Encoding Explanatory Examples with Stochastic Paths. ICPR César Ojeda, Ramsés J. Sánchez, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Bogdan Georgiev
2020	B	`conf`	Explorations in Quantum Neural Networks with Intermediate Measurements. ESANN Lukas Franken, Bogdan Georgiev
2020	J	`jnl`	Generative Deep Learning Techniques for Password Generation. CoRR David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka
2020	J	`jnl`	Gradient-free quantum optimization on NISQ devices. CoRR Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Nico Piatkowski, Christian Bauckhage
2020	J	`jnl`	Neural Abstract Reasoner. CoRR Victor Kolev, Bogdan Georgiev, Svetlin Penkov
2020	B	`conf`	On Learning a Control System without Continuous Feedback. ESANN Georgi Angelov, Bogdan Georgiev
2020	B	`conf`	Recurrent Point Review Models. IJCNN Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda
2020	J	`jnl`	Recurrent Point Review Models. CoRR Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda
2020	B	`conf`	Switching Dynamical Systems with Deep Neural Networks. ICPR César Ojeda, Bogdan Georgiev, Kostadin Cvejoski, Jannis Schücker, Christian Bauckhage, Ramsés J. Sánchez
2019	—	`conf`	RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels. LWDA Eduardo Brito, Bogdan Georgiev, Daniel Domingo-Fernández, Charles Tapley Hoyt, Christian Bauckhage
2019	J	`jnl`	Recurrent Adversarial Service Times. CoRR César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez, Jannis Schücker, Bogdan Georgiev, Christian Bauckhage
2019	J	`jnl`	Recurrent Point Processes for Dynamic Review Models. CoRR Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, César Ojeda