1 citations · 1 across the 2 of their papers we have counts for
4 papers
Distance-Residual Physics-Informed Neural Networks: A Deep Learning Framework for Differential and Partial Differential Inclusions
Maria Filipkovska, Juan José Mar\'ın, Isil Oner +2
We introduce Distance-Residual Physics-Informed Neural Networks (DR-PINNs), a physics-informed learning framework for approximating solutions of ordinary and partial differential i…
Fixed Points of Cone Mapping with the Application to Neural Networks
Grzegorz Gabor, Krzysztof Rykaczewski
We derive conditions for the existence of fixed points of cone mappings without assuming scalability of functions. Monotonicity and scalability are often inseparable in the literat…
Iterative Neural Networks with Bounded Weights
Tomasz Piotrowski, Krzysztof Rykaczewski
A recent analysis of a model of iterative neural network in Hilbert spaces established fundamental properties of such networks, such as existence of the fixed points sets, converge…
supFunSim: : spatial filtering toolbox for EEG
Krzysztof Rykaczewski, Jan Nikadon, Włodzisław Duch +1
Recognition and interpretation of brain activity patterns from EEG or MEG signals is one of the most important tasks in cognitive neuroscience, requiring sophisticated methods of s…