3 citations · 3 across the 3 of their papers we have counts for
3 papers
Thermodynamics-Inspired Computing with Oscillatory Neural Networks for Inverse Matrix Computation
George Tsormpatzoglou, Filip Sabo, Aida Todri-Sanial
We describe a thermodynamic-inspired computing paradigm based on oscillatory neural networks (ONNs). While ONNs have been widely studied as Ising machines for tackling complex comb…
Lagrange Oscillatory Neural Networks for Constraint Satisfaction and Optimization
Corentin Delacour, Bram Haverkort, Filip Sabo +2
Physics-inspired computing paradigms are receiving renewed attention to enhance efficiency in compute-intensive tasks such as artificial intelligence and optimization. Similar to H…
Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection
Madeleine Abernot, Thierry Gil, Aida Todri-Sanial
The increasing amount of data to be processed on edge devices, such as cameras, has motivated Artificial Intelligence (AI) integration at the edge. Typical image processing methods…