arxiv
PublishedOctober 3, 2026 at 4:00 AM
—neutral
Port-Hamiltonian Neural Networks for Systems with Multiple Asymptotically Stable Equilibria
Publisher summary· verbatim
arXiv:2610.01356v1 Announce Type: new Abstract: Stable port-Hamiltonian neural networks certify asymptotic stability by construction. Yet, their Hamiltonian is a global Lyapunov function with a single global minimum, so they can represent only dynamic systems with {one} attractor. We demonstrate tha
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivGlobeBench: Evaluating Text-Based World Model Capabilities for Scalable Environment Simulations2harxivAlgorithm Modelization: Transforming Optimization Algorithms into Evolvable Intelligence2harxivSimOPD: Relational Knowledge Transfer for On-Policy Distillation2harxivGenerative Policy Improvement from Observational Data2hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗