Search Results for author: Sören Becker

Found 5 papers, 3 papers with code

ODEFormer: Symbolic Regression of Dynamical Systems with Transformers

1 code implementation9 Oct 2023 Stéphane d'Ascoli, Sören Becker, Alexander Mathis, Philippe Schwaller, Niki Kilbertus

We introduce ODEFormer, the first transformer able to infer multidimensional ordinary differential equation (ODE) systems in symbolic form from the observation of a single solution trajectory.

regression Symbolic Regression

Predicting Ordinary Differential Equations with Transformers

no code implementations24 Jul 2023 Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus

We develop a transformer-based sequence-to-sequence model that recovers scalar ordinary differential equations (ODEs) in symbolic form from irregularly sampled and noisy observations of a single solution trajectory.

Discovering ordinary differential equations that govern time-series

no code implementations5 Nov 2022 Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus

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 still mostly manual task.

Time Series Time Series Analysis

Curiously Effective Features for Image Quality Prediction

1 code implementation10 Jun 2021 Sören Becker, Thomas Wiegand, Sebastian Bosse

The performance of visual quality prediction models is commonly assumed to be closely tied to their ability to capture perceptually relevant image aspects.

regression

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