Svyatoslav Voloshynovskiy

Prof. Head of SIP group

University of Geneva

Switzerland

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About

Prof. Svyatoslav Voloshynovskiy is the Head of the SIP group at the University of Geneva, Switzerland. His research areas include image processing, machine learning, and astronomical imaging, as evidenced by his recent publications on topics such as background interpolation for anomaly searches and enhancements in solar magnetograms. Additionally, he explores innovative techniques in image reconstruction and anti-counterfeiting applications.

Articles (19)

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2025

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2020

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2020

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2020

Collaborators (4)

Brandon Panos

Lecturer and researcher in Machine Learning / Prof

Frankfurt University of Applied Sciences

SWITZERLAND

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Denis Ullmann

University of Geneva

SWITZERLAND

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Michael Krämer

Professor (Chair)

Rheinisch Westfälische Technische Hochschule Aachen RWTH Aachen Fakultät für Mathematik Informatik und Naturwissenschaft

GERMANY

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Daniel Schaerer

Université de Genève Observatoire Astronomique

SWITZERLAND

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Svyatoslav Voloshynovskiy

Research Interests

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About

Articles (19)

TRANSIT your events into a new mass: fast background interpolation for weakly-supervised anomaly searches

Enhancing image resolution of solar magnetograms: A latent diffusion model approach

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

Cluster Scanning: a novel approach to resonance searches

Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA data

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

Radio-astronomical image reconstruction with a conditional denoising diffusion model

A Machine Learning-Based Digital Twin for Anti-Counterfeiting Applications With Copy Detection Patterns

Authentication of Copy Detection Patterns: A Pattern Reliability Based Approach

Group Membership Verification via Nonlinear Sparsifying Transform Learning

Challenging interferometric imaging: Machine learning-based source localization from uv-plane observations

Multivariate Time Series Information Bottleneck

Bottlenecks CLUB: Unifying Information-Theoretic Trade-Offs Among Complexity, Leakage, and Utility

TURBO: The Swiss Knife of Auto-Encoders

Privacy-Preserving Image Template Sharing Using Contrastive Learning

Solar activity classification based on Mg II spectra: Towards classification on compressed data

Information Bottleneck Classification in Extremely Distributed Systems

Variational Information Bottleneck for Semi-Supervised Classification

Machine learning through cryptographic glasses: combating adversarial attacks by key-based diversified aggregation

Collaborators (4)

Brandon Panos

Denis Ullmann

Michael Krämer

Daniel Schaerer

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