Hey there!

You appear to have landed on my website.

My name is Nicolò Ruggeri, I am PhD student at the Max Planck ETH Center for Learning Systems.
I am co-supervised by Caterina De Bacco and Fanny Yang.

In general, my research revolves around probabilistic methods in machine learning and their applications.

Some keywords that might or might not make sense include:

  • Variational inference
    • Ranking on networks
    • Variational autoencoders
    • Interpretability and disentanglement
  • Network science
    • Modelling of network-type data
    • Community detection
    • Message passing, EM-inference and general probabilistic inference
Broadly speaking, I am interested in both theory and applications, as well as any topic related to the above.
So feel free to get in touch!


  • 15/05/2022 - Our paper
      "Fast rates for noisy interpolation require rethinking the effects of inductive bias"
      has been accepted at ICML 2022!

  • 01/04/2022 - We have released our new work:
      "Provable concept learning for interpretable predictions using variational inference" (ArXiv)

  • 26/11/2021 - I was listed among the AISTSAT 2021 outstanding reviewers!