Jonathan Schmidt Jonathan Schmidt
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Postdoctoral researcher · University of Tübingen

Jonathan Schmidt

I am a Machine Learning researcher and I want to understand the mechanisms behind socio-economic inequality. My tools are probabilistic methods that combine mechanistic models with data, from Kalman filters to generative models.

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Working together with Prof. Philipp Hennig and the Methods of Machine Learning group.

  • Tübingen, Germany
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Portrait of Jonathan Schmidt
Blog

Latest writing

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Sample paths of a stochastic process
September 17, 2026

On the Distribution of Wealth, Income, and Functions—Part 1

The Generator of a Stochastic Process

Understanding the generator of a stochastic process in the context of a simple heterogenous-agent macroeconomics model.

stochastic processesmacroeconomics
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News

Recent updates

  1. Oct 2026
    New preprint with Paul Fischer and Philipp Hennig: Stable and Calibrated Latent Force ODE Filters. Read on arXiv
  2. Sep 2026
    New blog post: On the Distribution of Wealth, Income, and Functions — Part 1, on the generator of a stochastic process. Read the post
  3. Apr 2026
    Started a new position as a postdoc in Tübingen.
  4. Jan 2026
    Successfully defended my PhD 🥳
  5. Jul 2025
    Paper published in npj Climate and Atmospheric Science: A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation. Read the paper
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Papers

Featured publications

All publications
  • npj Climate and Atmospheric Science · 2025 A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation
  • NeurIPS · 2021 A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
  • NeurIPS · 2023 The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering in High Dimensions
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© 2026 Jonathan Schmidt · Tübingen, Germany

 

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