2.6k citations
- Moscow Institute of Physics and TechnologyRU117 papers
- National Research University Higher School of EconomicsRU102 papers
- Lomonosov Moscow State UniversityRU48 papers
- Landau Institute for Theoretical PhysicsRU40 papers
- Russian Academy of SciencesRU40 papers
- Steklov Mathematical InstituteRU30 papers
- Russian Quantum CenterRU28 papers
- Institute for Information Transmission ProblemsRU24 papers
- University of GrazAT23 papers
- Centre National de la Recherche ScientifiqueFR21 papers
- P.N. Lebedev Physical Institute of the Russian Academy of SciencesRU21 papers
- University of SouthamptonGB19 papers
630 papers
Thresholdless corner vortex solitons in fractal Sierpiński topological insulators
Yiqi Zhang, Alexander V. Kireev, Victor O. Kompanets +12
Quantized vortices are ubiquitous in physics, spanning superconductivity, astrophysics, superfluid condensed matter systems, and nonlinear optics. Yet embedding vorticity into topo…
LLM Agents Factory: Retrieval of Domain-Specific LLM Agents
Vitalii Belov, Artyom Sosedka, Andrey Sakhovskiy +3
Large language model (LLM) agents improve task performance by decomposing problems into role-specialized behaviors. However, their practical deployment is often limited by the comp…
HEDGEHOG: Hierarchical Evaluation of Drug Generators Through Rigorous Filtration
Daria A. Ryabchenko, Pavel Gurevich, Shamil Kadyrov +5
Generative molecular models can support early drug discovery by proposing new candidate compounds de novo. In practice, useful candidates must balance target-relevant activity, syn…
How Many Trees in a Random Forest? A Revisited Approach with Plateau Search and Optuna Integration
Vadim Porvatov, Andrey Dukhovny, Andrey Lange
Hyperparameter optimization (HPO) for Random Forest faces a specific difficulty in tuning the number of trees: the predictive score typically improves monotonically with ensemble s…
Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information
Andrey Lange, Dmitry Smolyakov, Evgeny Burnaev
One of the powerful techniques in data modeling is accounting for features that are available at the training stage, but are not available when the trained model is used to classif…
Strongly nonlinear regime of Josephson transmission lines revealed by two-tone spectroscopy
A. S. Averkin, A. A. Kopasov, I. E. Pologov +5
We present experimental and theoretical studies of the off-resonant and strongly nonlinear regime of Josephson transmission lines (JTLs) with galvanically-coupled nonlinear element…