32 citations · 32 across the 2 of their papers we have counts for
2 papers
cs.LG2026
The Neural Division of Labor: Biologically-Inspired Modular Architectures for Robust Neuromorphic Computing
Maksim Bazhenov, Serafim Grubas, Vakhtang Putkaradze
Biological neural systems achieve high efficiency and robustness through compartmentalized architectures. In contrast, modern artificial neural networks rely on globally entangled…
physics.geo-ph2022★ 32 cited
Neural Eikonal Solver: improving accuracy of physics-informed neural networks for solving eikonal equation in case of caustics
Serafim Grubas, Anton Duchkov, Georgy Loginov
The concept of physics-informed neural networks has become a useful tool for solving differential equations due to its flexibility. There are a few approaches using this concept to…