Mariia Drozdova

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can Continuous-Time Diffusion Models Generate and Solve Globally Constrained Discrete Problems? A Study on Sudoku. CoRR Mariia Drozdova
2025	J	`jnl`	Radio Astronomy in the Era of Vision-Language Models: Prompt Sensitivity and Adaptation. CoRR Mariia Drozdova, Erica Lastufka, Vitaliy Kinakh, Taras Holotyak, Daniel Schaerer, Slava Voloshynovskiy
2024	J	`jnl`	Hubble Meets Webb: Image-to-Image Translation in Astronomy. Sensors Vitaliy Kinakh, Yury Belousov, Guillaume Quétant, Mariia Drozdova, Taras Holotyak, Daniel Schaerer, Slava Voloshynovskiy
2024	J	`jnl`	MV-MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation. Entropy Vitaliy Kinakh, Mariia Drozdova, Slava Voloshynovskiy
2024	J	`jnl`	Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model. CoRR Mariia Drozdova, Vitaliy Kinakh, Omkar Bait, Olga Taran, Erica Lastufka, Miroslava Dessauges-Zavadsky, Taras Holotyak, Daniel Schaerer, Slava Voloshynovskiy
2024	J	`jnl`	Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decomposition. CoRR Mariia Drozdova, Vitaliy Kinakh, Yury Belousov, Erica Lastufka, Slava Voloshynovskiy
2024	J	`jnl`	Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA data. CoRR Francesco P. Ramunno, Stefan Hackstein, Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, André Csillaghy, Sviatoslav Voloshynovskiy
2023	J	`jnl`	MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation. CoRR Vitaliy Kinakh, Mariia Drozdova, Slava Voloshynovskiy
2021	J	`jnl`	Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks. CoRR Mariia Drozdova, Vitaliy Kinakh, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy
2021	J	`jnl`	Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN. CoRR Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy
2021	J	`jnl`	Turbo-Sim: a generalised generative model with a physical latent space. CoRR Guillaume Quétant, Mariia Drozdova, Vitaliy Kinakh, Tobias Golling, Slava Voloshynovskiy
2020	J	`jnl`	A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images. CoRR Mariia Drozdova, Anton Broilovskiy, Andrey Ustyuzhanin, Denys Malyshev