Mariia Drozdova

According to our database, Mariia Drozdova authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MV-MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation.

Vitaliy Kinakh, Mariia Drozdova, Slava Voloshynovskiy

Entropy, June, 2024

Hubble Meets Webb: Image-to-Image Translation in Astronomy.

Vitaliy Kinakh, Yury Belousov, Guillaume Quétant, Mariia Drozdova, Taras Holotyak, Daniel Schaerer, Slava Voloshynovskiy

Sensors, February, 2024

Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decomposition.

Mariia Drozdova, Vitaliy Kinakh, Yury Belousov, Erica Lastufka, 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

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

2021

Turbo-Sim: a generalised generative model with a physical latent space.

Guillaume Quétant, Mariia Drozdova, Vitaliy Kinakh, 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

Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks.

Mariia Drozdova, Vitaliy Kinakh, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy

CoRR, 2021

2020

A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images.

Mariia Drozdova, Anton Broilovskiy, Andrey Ustyuzhanin, Denys Malyshev

CoRR, 2020