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.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…
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…