Geoinformation technology of analysis and vizualization of spatial data on greenhouse gas emissions using Google Earth Engine. - Vitaliy Kinakh; Rostyslav Bun; Olha Danylo (CSIT (1), 2017)

Formulating a Geolocation Bias Correction for DMSP Nighttime Lights of Global Cities. - Vitalii Kinakh; Tomohiro Oda; Rostyslav Bun (CSIT, 2020)

Algorithms for Analysis of Geolocation Error of Nightlight Satellite Data and Greenhouse Gas Data Calculated on Their Basis. - Vitaliy Kinakh; Tomohiro Oda; Rostyslav Bun (CSIT (1), 2020)

ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets. - Vitaliy Kinakh; Olga Taran; Svyatoslav Voloshynovskiy (ICCVW, 2021)

Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks. - Mariia Drozdova; Vitaliy Kinakh; Guillaume Quétant; Tobias Golling; Slava Voloshynovskiy (CoRR, 2021)

Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN. - Vitaliy Kinakh; Mariia Drozdova; Guillaume Quétant; Tobias Golling; Slava Voloshynovskiy (CoRR, 2021)

Turbo-Sim: a generalised generative model with a physical latent space. - Guillaume Quétant; Mariia Drozdova; Vitaliy Kinakh; Tobias Golling; Slava Voloshynovskiy (CoRR, 2021)

Privacy-Preserving Image Template Sharing Using Contrastive Learning. - Shideh Rezaeifar; Slava Voloshynovskiy; Meisam Asgari Jirhandeh; Vitaliy Kinakh (Entropy, 2022)

Stochastic Digital Twin for Copy Detection Patterns. - Yury Belousov 001; Olga Taran; Vitaliy Kinakh; Slava Voloshynovskiy (WIFS, 2023)

Evaluation metrics for galaxy image generators. - Stefan Hackstein; Vitaliy Kinakh; C. Bailer; Martin Melchior (Astron. Comput., 2023)

TURBO: The Swiss Knife of Auto-Encoders. - Guillaume Quétant; Yury Belousov 001; Vitaliy Kinakh; Slava Voloshynovskiy (Entropy, 2023)

Evaluation of Security of ML-based Watermarking: Copy and Removal Attacks. - Vitaliy Kinakh; Brian Pulfer; Yury Belousov 001; Pierre Fernandez; Teddy Furon; Slava Voloshynovskiy (WIFS, 2024)

Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model. - Mariia Drozdova; Vitaliy Kinakh; Omkar Bait; Olga Taran; Erica Lastufka; Miroslava Dessauges-Zavadsky; Taras Holotyak; Daniel Schaerer; Slava Voloshynovskiy (CoRR, 2024)

Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA data. - Francesco P. Ramunno; Stefan Hackstein; Vitaliy Kinakh; Mariia Drozdova; Guillaume Quétant; André Csillaghy; Sviatoslav Voloshynovskiy (CoRR, 2024)

Tabular Data Generation using Binary Diffusion. - Vitaliy Kinakh; Slava Voloshynovskiy (CoRR, 2024)

Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decomposition. - Mariia Drozdova; Vitaliy Kinakh; Yury Belousov 001; Erica Lastufka; Slava Voloshynovskiy (CoRR, 2024)

Hubble Meets Webb: Image-to-Image Translation in Astronomy. - Vitaliy Kinakh; Yury Belousov 001; Guillaume Quétant; Mariia Drozdova; Taras Holotyak; Daniel Schaerer; Slava Voloshynovskiy (Sensors, 2024)

MV-MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation. - Vitaliy Kinakh; Mariia Drozdova; Slava Voloshynovskiy (Entropy, 2024)

Task-Agnostic Attacks Against Vision Foundation Models. - Brian Pulfer; Yury Belousov 001; Vitaliy Kinakh; Teddy Furon; Slava Voloshynovskiy (CVPR Workshops, 2025)

Binary Diffusion Probabilistic Model. - Vitaliy Kinakh; Slava Voloshynovskiy (CoRR, 2025)

Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach. - Francesco P. Ramunno; Paolo Massa; Vitaliy Kinakh; Brandon Panos; André Csillaghy; Slava Voloshynovskiy (CoRR, 2025)

Beyond Classification: Evaluating Diffusion Denoised Smoothing for Security-Utility Trade off. - Yury Belousov 001; Brian Pulfer; Vitaliy Kinakh; Slava Voloshynovskiy (CoRR, 2025)