A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images. - Mariia Drozdova; Anton Broilovskiy; Andrey Ustyuzhanin; Denys Malyshev (CoRR, 2020)

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)

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)

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)