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πŸ˜ƒ
frantically tuning hyper-parameters
πŸ˜ƒ
frantically tuning hyper-parameters

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giladturok/README.md

Sup nerds, πŸ‘‹ I'm Gilad

I do probabilistic machine learning research and am interested in:

  • Generative models (normalizing flows, diffusion)
  • Large language models (quantization, diffusion language models)
  • Statistical inference & sampling (Bayesian computation,variational inference, Markov chain Monte Carlo)
  • AI4Science (inverse problems)

Currently on my mind:

  • Discrete flow matching 🌊
  • JAX is cool 😎

Pinned Loading

  1. flatironinstitute/bayes-kit flatironinstitute/bayes-kit Public

    Bayesian inference and posterior analysis for Python

    Python 44 4

  2. drghmc drghmc Public

    Forked from flatironinstitute/bayes-kit

    [AIStats 2025] Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo.

    Jupyter Notebook 7 1