Jordy-VL / probai-2022

Materials of the Nordic Probabilistic AI School 2022.

ProbAI 2022

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

Lectures and Tutorials

• Day 1 (June 13):

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

• Day 2 (June 14):

  • [materials and slides] Andrés R. Masegosa, Helge Langseth & Thomas D. Nielsen - Variational Inference

• Day 3 (June 15):

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

• Day 4 (June 16):

  • [materials] [notebook, colab] - Cagatay Yildiz - NeuralODEs
  • [slides, slides in pdf, colab, notebook] - Henri Eerikki Pesonen - ELFI-tutorial

• Day 5 (June 17):

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

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