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Bogdan Georgiev
Bogdan Georgiev
Senior Research Engineer, Google DeepMind
Keine bestätigte E-Mail-Adresse - Startseite
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Zitiert von
Zitiert von
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Informed machine learning–a taxonomy and survey of integrating prior knowledge into learning systems
L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ...
IEEE Transactions on Knowledge and Data Engineering 35 (1), 614-633, 2021
6462021
Nodal geometry, heat diffusion and Brownian motion
B Georgiev, M Mukherjee
Analysis & Pde 11 (1), 133-148, 2017
262017
On the lower bound of the inner radius of nodal domains
B Georgiev
The Journal of Geometric Analysis 29 (2), 1546-1554, 2019
152019
On maximizing the fundamental frequency of the complement of an obstacle
B Georgiev, M Mukherjee
Comptes Rendus. Mathématique 356 (4), 406-411, 2018
132018
Neural abstract reasoner
V Kolev, B Georgiev, S Penkov
arXiv preprint arXiv:2011.09860, 2020
122020
Gradient-free quantum optimization on NISQ devices
L Franken, B Georgiev, S Muecke, M Wolter, N Piatkowski, C Bauckhage
arXiv preprint arXiv:2012.13453, 2020
122020
Explorations in Quantum Neural Networks with Intermediate Measurements.
L Franken, B Georgiev
ESANN, 297-302, 2020
122020
Some remarks on nodal geometry in the smooth setting
B Georgiev, M Mukherjee
Calculus of Variations and Partial Differential Equations 58, 1-25, 2019
122019
Polynomial upper bound on interior Steklov nodal sets
B Georgiev, G Roy-Fortin
Journal of Spectral Theory 9 (3), 897-919, 2019
112019
Informed machine learning-a taxonomy and survey of integrating knowledge into learning systems (2020)
L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ...
arXiv preprint arXiv:1903.12394, 1903
101903
A prior-based approximate latent riemannian metric
G Arvanitidis, B Georgiev, B Schölkopf
arXiv preprint arXiv:2103.05290, 2021
92021
RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels.
E Brito, B Georgiev, D Domingo-Fernández, CT Hoyt, C Bauckhage
LWDA, 74-78, 2019
72019
Quantum circuit evolution on nisq devices
L Franken, B Georgiev, S Mucke, M Wolter, R Heese, C Bauckhage, ...
2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022
52022
Generative deep learning techniques for password generation
D Biesner, K Cvejoski, B Georgiev, R Sifa, E Krupicka
arXiv preprint arXiv:2012.05685, 2020
52020
On a Sweeping Process with the Cone of Limiting Normals
B Georgiev, N Ribarska
Comptes rendus de l’Académie bulgare des Sciences 66 (5), 2013
52013
Some applications of heat flow to Laplace eigenfunctions
B Georgiev, M Mukherjee
Communications in Partial Differential Equations 47 (4), 677-700, 2022
42022
Advances in password recovery using generative deep learning techniques
D Biesner, K Cvejoski, B Georgiev, R Sifa, E Krupicka
Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021
32021
Recurrent point review models
K Cvejoski, RJ Sánchez, B Georgiev, C Bauckhage, C Ojeda
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
32020
Recurrent point processes for dynamic review models
K Cvejoski, RJ Sanchez, B Georgiev, J Schuecker, C Bauckhage, ...
arXiv preprint arXiv:1912.04132, 2019
32019
A spectral gap estimate and applications
B Georgiev, M Mukherjee, S Steinerberger
arXiv preprint arXiv:1612.08565, 2016
32016
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