51 citations · 77 across the 7 of their papers we have counts for
3 papers · 1 filter
Unsupervised Neural Networks for Quantum Eigenvalue Problems
Henry Jin, Marios Mattheakis, Pavlos Protopapas
Eigenvalue problems are critical to several fields of science and engineering. We present a novel unsupervised neural network for discovering eigenfunctions and eigenvalues for dif…
Physical Symmetries Embedded in Neural Networks
M. Mattheakis, P. Protopapas, D. Sondak +2
Neural networks are a central technique in machine learning. Recent years have seen a wave of interest in applying neural networks to physical systems for which the governing dynam…
Machine learning with observers predicts complex spatiotemporal behavior
G. Neofotistos, M. Mattheakis, G. D. Barmparis +3
Chimeras and branching are two archetypical complex phenomena that appear in many physical systems; because of their different intrinsic dynamics, they delineate opposite non-trivi…