Nordic Probabilistic AI School | 17-21 June 2024 | Copenhagen, Denmark

Welcome to the central repository for the Nordic Probabilistic AI School 2024.

Teaching Materials

• Day 1 (Jun 17):

  • Andrés R. Masegosa - Welcome to Nordic ProbAI 2024 [ Slides ]
  • Silja Renooij - Introduction to Probabilistic Models [ Slides | Materials ]
  • Andrew Johnson - Bayesian Workflow [ Slides | Materials ]
  • Wouter Boomsma - Probabilistic Machine Learning in Bioinformatics [ Slides ]

• Day 2 (June 18):

  • Thomas D. Nielsen, Andrés Masegosa & Helge Langseth - Variational Inference and Optimization
    • (Session I) [ Slides | Materials ]
    • (Session II) [ Slides | Materials ]
    • (Session III) [ Slides | Materials ]

• Day 3 (June 19):

  • Jes Frellsen - Introduction to Deep Generative Models [ Slides | Materials ]
  • Chin-Wei Huang & Victor Garcia Satorras - Diffusion Models [ Slides | Materials ]
  • Bjørnar Vassøy - Probabilistic AI DT8122 [ Slides ]
  • Ole Winther - SDEs are all you need for latent variable models [ Slides ]

• Day 4 (June 20):

  • Charles Margoissan - Monte Carlo Methods [ Slides | Materials ]
  • Antonio Vergari - Probabilistic Circuits [ Slides I | Slides II ]

• Day 5 (June 21):

  • Daniel Hernández-Lobato - Gaussian Processes [ Slides | Materials ]
  • Adèle Ribeiro - Causal Inference [ Slides | Materials ]
  • Andrés R. Masegosa - Closing Remarks [Slides]

Feedback Form

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Program

For the detailed program, please see the Nordic ProbAI24 website.

Contact

For all your questions or suggestions, please contact us at hello@probabilistic.ai.