2 papers
cs.LG2026
PolyNODE: Variable-dimension Neural ODEs on M-polyfolds
Per à hag, Alexander Friedrich, Fredrik Ohlsson +1
Neural ordinary differential equations (NODEs) are geometric deep learning models based on dynamical systems and flows generated by vector fields on manifolds. Despite numerous suc…
quant-ph2025
Multi-Photon Quantum Rabi Models with Center-of-Mass Motion
Sabrina Hartmann, Nicolija MomÄiloviÄ, Alexander Friedrich
The precise control of light-matter interaction serves as a cornerstone for diverse quantum technologies, spanning from quantum computing to advanced atom optics. Typical experimen…