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

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gil2rok/README.md

Hi there πŸ‘‹. I'm Gilad Turok.

I like to think about probabilistic machine learning research, including:

  • deep generative models (normalizing flows, diffusion)
  • computational statistics (variational inference, MCMC, sampling)
  • principled understanding of deep learning (inductive biases, scaling laws, generalization)
  • AI4Science (inverse problems)

Currently on my mind:

  • Discrete flow matching 🌊
  • Running 100s of MCMC chains on GPUs ⛓️
  • How to get rid of LaTeX compilation warnings ⚠️
  • JAX is cool 😎

Pinned Loading

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

    Bayesian inference and posterior analysis for Python

    Python 43 3

  2. drghmc drghmc Public

    Forked from flatironinstitute/bayes-kit

    Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo.

    Jupyter Notebook 6