Д. Деркач

Часть публикаций из профиля, по году от новых к старым. Это не полный список последних работ автора; работы без года — в конце.

• Evolutionary Two-Stage Hyperparameter Optimization Strategies for Physics-Informed Neural Networks2026 · аннотациясвернуть

  Physics-Informed Neural Networks (PINNs) solve Partial Differential Equations (PDEs) by embedding physical laws into neural network training. However, their performance suffers from unstable convergence, training…

• Correcting Sensor-Induced Distribution Drift with Wasserstein Adversarial Learning2026 · аннотациясвернуть

  The quality of recorded data depends on the stability of the sensor system that acquires it. Sensor motion and aging can degrade the performance and stability of downstream data-driven methods. We present a…

• Physics-Constrained Neural Networks for Improved Short-Term Weather Forecasting: A Case Study over the South Pacific2026
• Reinforcement learning for accelerator beamline control: A simulation-based approach2026
• Polarization Drift Compensation for Quantum Key Distribution Using Machine Learning2025 · аннотациясвернуть

  Abstract In various applications of optical communications, such as quantum key distribution (QKD) systems, the task of polarization control in optical fiber arises. A polarization controller (PC) on the receiver side…

• Distilling Normalizing Flows2025
• MPD physics performance studies in Bi+Bi collisions at √sNN = 9.2 GeV2025
• Technical Design Report of the Spin Physics Detector at NICA2025