[summer school] Nordic Probabilistic AI School (ProbAI) — June 14-18, 2021
Eliezer de Souza da Silva
APPLY NOW — The application deadline is March 31 AoE (Anywhere on Earth), but we recommend an early application.
About virtual ProbAI 2021The mission of the second Nordic Probabilistic AI School (ProbAI) is to serve state-of-the-art expertise in probabilistic machine learning and artificial intelligence to the public, students, academia and industry.
Due to the global COVID-19 pandemic, we are designing a virtual experience that would still allow social interactions and collaborations similar to a physical event. And together with the wonderful constellation of invited lecturers, we hope to provide an efficient and quality knowledge transfer through theoretical lectures, collaborative hands-on tutorials and support from teaching assistants. With that in mind, we are also selecting digital platforms supporting such requirements.
Program- Keynote — Max Welling (University of Amsterdam)
- Introduction to Probabilistic Models — Antonio Salmerón (University of Almería)
- Probabilistic Programming — Andrés R. Masegosa (University of Almería) & Thomas D. Nielsen (Aalborg University)
- Bio-Inspired AI — Keith L. Downing (NTNU)
- Variational Inference and Optimization (part 1) — Arto Klami (University of Helsinki)
- Variational Inference and Probabilistic Programming (part 1) — Andrés R. Masegosa (University of Almería) & Thomas D. Nielsen (Aalborg University)
- Tensor Factorizations for Physical, Chemical, and Biological Systems — Evrim Acar Ataman (Simula Research Lab)
- Variational Inference and Optimization (part 2) — Arto Klami (University of Helsinki)
- Variational Inference and Probabilistic Programming (part 2) — Andrés R. Masegosa (University of Almería) & Thomas D. Nielsen (Aalborg University)
- Causality and Machine Learning — Fredrik D. Johansson (Chalmers University of Technology)
- Probabilistic Programming, Machine Learning, and Physics — Atılım Güneş Baydin (University of Oxford)
- Deep Generative Models — Wilker Aziz (University of Amsterdam)
- Variational Inference with Implicit and Semi-Implicit Distributions — Francisco Ruiz (DeepMind)
- Bayesian Reinforcement Learning — Christos Dimitrakakis (University of Oslo / Chalmers)
- VAE/GAN — Mihaela Rosca (DeepMind)
- Normalizing Flows and PixelCNN — Didrik Nielsen (Technical University of Denmark)
- ODE2VAE — Çağatay Yıldız (Aalto University)
We are very happy with the constellation of topics and lecturers.
Registration Fee- Students (including PhD) → 500 NOK ~ 50 EUR
- Academia → 1500 NOK ~ 150 EUR
- Industry → 3000 NOK ~ 300 EUR
If the registration fee or any other costs may prevent you from attending the school, we encourage you to apply for a scholarship.
OrganizersThe ProbAI 2021 is organized by the Norwegian Open AI Lab and hosted by the Norwegian University of Science and Technology (NTNU) in Trondheim.
Contact- Website: https://probabilistic.ai
- Twitter: https://twitter.com/probabilisticai/
- Facebook: https://www.facebook.com/probabilisticai/
