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  • Swiss Federal Institute of Technology in Lausanne (EPFL)
  • Lausanne, Switzerland

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  1. meicoder meicoder Public

    Code for our paper "MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs" (NeurIPS 2025).

    Jupyter Notebook

  2. learning-to-optimize learning-to-optimize Public

    Code for our paper "Investigation into the Training Dynamics of Learned Optimizers" (AAAI 2024 & ICAART 2024).

    Jupyter Notebook

  3. rl-memory rl-memory Public

    Code for our paper "Reverse-Engineering Memory in DreamerV3: From Sparse Representations to Functional Circuits" (NeurIPS 2025, Spotlight at Mech Interp Workshop).

    Python

  4. fractional-learning-to-optimize fractional-learning-to-optimize Public

    Code for our paper "Enhancing Fractional Gradient Descent with Learned Optimizers".

    Jupyter Notebook 1 1

  5. in-context-learning in-context-learning Public

    Paper reproduction: "General-Purpose In-Context Learning by Meta-Learning Transformers".

    Jupyter Notebook 2 1

  6. deep-q-learning-driver deep-q-learning-driver Public

    Implementation of Deep reinforcement learning (Q-learning) in a self-made game environment of a highway driver.

    Python