71 citations
- Lomonosov Moscow State UniversityRU10 papers
- Moscow Institute of Physics and TechnologyRU5 papers
- National University of Science and TechnologyRU4 papers
- All Russia Research Institute of AutomaticsRU3 papers
- Russian Quantum CenterRU3 papers
- Academy of Sciences of MoldovaMD2 papers
- AlbaNovaSE2 papers
- Bauman Moscow State Technical UniversityRU2 papers
- Dubna State UniversityRU2 papers
- Institute of Applied PhysicsMD2 papers
- Joint Institute for Nuclear ResearchRU2 papers
- MIREA - Russian Technological UniversityRU2 papers
18 papers
Digital-analog concept for superconducting perceptron-like neural networks
Andrey E. Schegolev, Vsevolod I. Ruzhickiy, Georgy I. Gubochkin +7
A promising route to superconducting artificial neural networks is a hybrid digital-Analog architecture that combines digital single-flux-quantum (SFQ) communication with compact A…
Energy-time attack on detectors in quantum key distribution
Konstantin Zaitsev, Vladimir Bizin, Dmitriy Kuzmin +1
Quantum key distribution is unbreakable in theory but may be hacked via imperfections in its hardware implementations. While many imperfections have been mitigated by countermeasur…
From Visual to Multimodal: Systematic Ablation of Encoders and Fusion Strategies in Animal Identification
Vasiliy Kudryavtsev, Kirill Borodin, German Berezin +3
Automated animal identification is a practical task for reuniting lost pets with their owners, yet current systems often struggle due to limited dataset scale and reliance on unimo…
Interpreting Multi-Branch Anti-Spoofing Architectures: Correlating Internal Strategy with Empirical Performance
Ivan Viakhirev, Kirill Borodin, Mikhail Gorodnichev +1
Multi-branch deep neural networks like AASIST3 achieve state-of-the-art comparable performance in audio anti-spoofing, yet their internal decision dynamics remain opaque compared t…
Weyl-Heisenberg Transform Capabilities in JPEG Compression Standard
V. Asiryan, V. Volchkov, N. Papulovskaya
This paper is devoted to the development and research of a new compression technology based on Weyl-Heisenberg bases (WH-technology) for modifying the JPEG compression standard and…
Contemporary implementations of spiking bio-inspired neural networks
Andrey E. Schegolev, Marina V. Bastrakova, Michael A. Sergeev +3
The extensive development of the field of spiking neural networks has led to many areas of research that have a direct impact on people's lives. As the most bio-similar of all neur…