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gonlairo/README.md

Hi! I'm a third-year PhD student at Helmholtz Munich, advised by Steffen Schneider.

My research explores how we can learn world models that capture the underlying dynamics of complex systems, particularly in scientific domains such as neuroscience. I develop self-supervised learning methods that recover meaningful and identifiable representations and dynamics from high-dimensional, nonlinear observations.

Long term, I want to bridge representation learning, dynamical systems and scientific discovery, so we can go from complex observations to models that help us understand, predict and control real-world systems.

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  1. dynamical-inference/dcl dynamical-inference/dcl Public

    Official reference implementation of dynamics contrastive learning (DCL).

    Python 32 5

  2. CEBRA CEBRA Public

    Forked from AdaptiveMotorControlLab/CEBRA

    Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

    Python

  3. dynamical-inference/faithful-world-models dynamical-inference/faithful-world-models Public

    Official repository for Understanding the Limits of Latent World Models

    1 1