1 citations · 2 across the 3 of their papers we have counts for
3 papers
Predicting symbolic ODEs from multiple trajectories
Yakup Emre Şahin, Niki Kilbertus, Sören Becker
We introduce MIO, a transformer-based model for inferring symbolic ordinary differential equations (ODEs) from multiple observed trajectories of a dynamical system. By combining mu…
Predicting Ordinary Differential Equations with Transformers
Sören Becker, Michal Klein, Alexander Neitz +2
We develop a transformer-based sequence-to-sequence model that recovers scalar ordinary differential equations (ODEs) in symbolic form from irregularly sampled and noisy observatio…
Discovering ordinary differential equations that govern time-series
Sören Becker, Michal Klein, Alexander Neitz +2
Natural laws are often described through differential equations yet finding a differential equation that describes the governing law underlying observed data is a challenging and s…