3 papers
cs.LG2026
Graph Coloring Approach to Solving Sudoku with Oscillatory Neural Networks
Filip Sabo, Aida Todri-Sanial
Oscillatory Neural Networks (ONNs) present an attractive physics-based computing paradigm rooted in the dynamics of a network of typically fully coupled oscillators aiming to minim…
cs.LG2025
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…
cs.ET2025
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…