README.md

ProbAI 2022

Materials of the Nordic Probabilistic AI School (ProbAI) 2022.

Lectures and Tutorials

• Day 1 (June 13):

  • [recording, slides] Luigi Acerbi - Opening of ProbAI 2022
  • [recording, slides] Arto Klami - Probabilistic AI: What is it?
  • [recording, slides, materials] Antonio Salmerón - Introduction to Probabilistic Models
  • [recording, materials and slides] Andrés R. Masegosa & Thomas D. Nielsen - Introduction to Probabilistic Programming
  • [recording, slides, materials] Elizaveta Semenova - Bayesian Workflow

• Day 2 (June 14):

  • [recording, materials] Andrés R. Masegosa, Helge Langseth & Thomas D. Nielsen - Variational Inference 1
  • [recording, materials] Andrés R. Masegosa, Helge Langseth & Thomas D. Nielsen - Variational Inference 2
  • [recording, materials] Andrés R. Masegosa, Helge Langseth & Thomas D. Nielsen - Variational Inference 3

• Day 3 (June 15):

  • [recording, slides] Rianne van den Berg - Deep Generative Models
  • [recording, slides], [RealVNP task, solution], [BNNs task, solution], [Colab - RealVNP] Didrik Nielsen - Normalizing Flows
  • [recording, slides] Arno Solin - Gaussian Processes

• Day 4 (June 16):

  • [recording, materials, notebook, colab] - Cagatay Yildiz - Neural ODEs
  • [recording, slides, slides in pdf, colab, notebook] - Henri Eerikki Pesonen - ELFI-tutorial
  • [recording] - Fani Deligianni - Human-Centric ML

• Day 5 (June 17):

  • [recording, slides, notes], [regression task: colab / notebook / solution], [classification task: colab / notebook / solution] Yingzhen Li - Bayesian Neural Networks - Hands-on tutorial
  • [recording, slides] José Miguel Hernández–Lobato - Advanced Bayesian Neural Networks
  • [recording] Luigi Acerbi - Closing of ProbAI 2022