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Vitaliy Kinakh
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Errors and uncertainties in a gridded carbon dioxide emissions inventory
T Oda, R Bun, V Kinakh, P Topylko, M Halushchak, G Marland, T Lauvaux, ...
Mitigation and Adaptation Strategies for Global Change 24 (6), 1007-1050, 2019
582019
Development of a high-resolution spatial inventory of greenhouse gas emissions for Poland from stationary and mobile sources
R Bun, Z Nahorski, J Horabik-Pyzel, O Danylo, L See, N Charkovska, ...
Mitigation and Adaptation Strategies for Global Change 24 (6), 853-880, 2019
302019
Geoinformation Technology for Analysis and Visualisation of High Spatial Resolution Greenhouse Gas Emissions Data Using a Cloud Platform
OD V Kinakh, R Bun
Advances in Intelligent Systems and Computing, 217-229, 2018
42018
Application of geoinformation technology for the analysis and visualisation of high spatial resolution greenhouse gas emissions data using a cloud platform
DO Kinakh V., Bun R.
Advances in Intelligent Systems and Computing 689, 217-229, 2017
4*2017
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets
V Kinakh, O Taran, S Voloshynovskiy
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
32021
Formulating a Geolocation Bias Correction for DMSP Nighttime Lights of Global Cities
V Kinakh, R Oda, Tomohiro, Bun
Advances in Intelligent Systems and Computing 1293, 383-398, 2021
12021
Geoinformation technology of analysis and vizualization of spatial data on greenhouse gas emissions using Google Earth Engine
V Kinakh, R Bun, O Danylo
2017 12th International Scientific and Technical Conference on Computer …, 2017
12017
Privacy-Preserving Image Template Sharing Using Contrastive Learning
S Rezaeifar, S Voloshynovskiy, M Asgari Jirhandeh, V Kinakh
Entropy 24 (5), 643, 2022
2022
Turbo-Sim: a generalised generative model with a physical latent space
G Quétant, M Drozdova, V Kinakh, T Golling, S Voloshynovkiy
arXiv preprint arXiv:2112.10629, 2021
2021
Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks
M Drozdova, V Kinakh, G Quétant, T Golling, S Voloshynovskiy
arXiv preprint arXiv:2112.09646, 2021
2021
Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN
V Kinakh, M Drozdova, G Quétant, T Golling, S Voloshynovskiy
arXiv preprint arXiv:2112.09653, 2021
2021
Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks
SV Mariia Drozdova, Vitaliy Kinakh, Guillaume Quetant, Tobias Golling
NeurIPS 2021 Workshop "Bayesian Deep Learning", 2021
2021
Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN
SV Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, Tobias Golling
NeurIPS 2021 Workshop "Bayesian Deep Learning", 2021
2021
Mitigating geolocation errors in nighttime light satellite data and global CO2 emission gridded data
ON V. Kinakh, T. Oda, R. Bun
Mathematical Modeling and Computing 8, 304-316, 2021
2021
Algorithms for analysis of geolocation error of nightlight satellite data and greenhouse gas data calculated on their basis
V Kinakh, R Oda, Tomohiro, Bun
15th International Scientific and Technical Conference on Computer Science …, 2020
2020
Assessing errors and uncertainties in a global, high-resolution, fossil-fuel CO2 emission dataset
SP T Oda, R Bun, V. Kinakh, S Feng, T Lauvaux, JS Wang, SR Kawa, SS ...
15th International Workshop on Greenhouse Gas Measurements from Space …, 2019
2019
U.S. cities in the dark: Mapping human carbon dioxide emissions using observations from space
PS Oda T., Maksyutov S., Roman M., Wang Z., Feng S., Bun R., Kinakh V ...
American Association of Geographers (AAG) Annual Meeting 2019, 2019
2019
Assessing errors and uncertainties in subnational fossil fuel CO2 emission estimates: A case for ODIAC.
T Oda, R Bun, V Kinakh, S Feng, T Lauvaux, J Wang, R Kawa, ...
Geophysical Research Abstracts 21, 2019
2019
The use of gridded fossil fuel CO2 emissions (FFCO2) inventory for climate mitigation applications: Errors, uncertainties, and current and future challenges
T Oda, R Bun, V Kinakh, S Maksyutov, J Wang, S Kawa, M Roman, ...
AGU Fall Meeting, 2018
2018
The use of gridded fossil fuel carbon dioxide emissions inventory for climate mitigation applications: Errors, uncertainties, and current and future challenges
T Oda, R Bun, V Kinakh, SS Maksyutov, JS Wang, SR Kawa, MO Roman, ...
AGU Fall Meeting Abstracts 2018, B42A-08, 2018
2018
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