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, 1007-1050, 2019
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, 853-880, 2019
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
Evaluation metrics for galaxy image generators
S Hackstein, V Kinakh, C Bailer, M Melchior
Astronomy and Computing 42, 100685, 2023
Privacy-preserving image template sharing using contrastive learning
S Rezaeifar, S Voloshynovskiy, M Asgari Jirhandeh, V Kinakh
Entropy 24 (5), 643, 2022
Turbo-Sim: A generalised generative model with a physical latent space
G Quétant, M Drozdova, V Kinakh, T Golling, S Voloshynovskiy
arXiv preprint arXiv:2112.10629, 2021
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
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
TURBO: The Swiss Knife of Auto-Encoders
G Quétant, Y Belousov, V Kinakh, S Voloshynovskiy
Entropy 25 (10), 1471, 2023
Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN
V Kinakh, M Drozdova, G Quétant, T Golling, S Voloshynovskiy
arXiv preprint arXiv:2112.09653, 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
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
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
Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA data
FP Ramunno, S Hackstein, V Kinakh, M Drozdova, G Quetant, A Csillaghy, ...
arXiv preprint arXiv:2404.02552, 2024
Visualizing three years of STIX X-ray flare observations using self-supervised learning
M Drozdova, V Kinakh, F Ramunno, E Lastufka, S Voloshynovskiy
EGU24, 2024
Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model
M Drozdova, V Kinakh, O Bait, O Taran, E Lastufka, ...
arXiv preprint arXiv:2402.10204, 2024
Hubble Meets Webb: Image-to-Image Translation in Astronomy
V Kinakh, Y Belousov, G Quétant, M Drozdova, T Holotyak, D Schaerer, ...
Sensors 24 (4), 1151, 2024
Stochastic Digital Twin for Copy Detection Patterns
Y Belousov, O Taran, V Kinakh, S Voloshynovskiy
2023 IEEE International Workshop on Information Forensics and Security (WIFS …, 2023
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation
V Kinakh, M Drozdova, S Voloshynovskiy
arXiv preprint arXiv:2303.12130, 2023
Using Machine Learning [TK1](ML) models for computing VIIRS-like nighttime lights based on DMSP satellite data
T Kutsyk, V Kinakh, T Oda, R Bun
Основні напрямки роботи Секція, 94, 2023
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