Machine Learning Coffee Minisymposium on Simulator-based Inference

2018-04-09 09:00:00 2018-04-09 11:00:00 Europe/Helsinki Machine Learning Coffee Minisymposium on Simulator-based Inference Series of longer machine learning coffee sessions on themes of the research programmes of Finnish Center for Artificial Intelligence (FCAI) http://old.cs.aalto.fi/en/midcom-permalink-1e837d1fa1a74b037d111e89e4e414bcebfde96de96 A.I. Virtasen aukio 1, 02150, Helsinki

Series of longer machine learning coffee sessions on themes of the research programmes of Finnish Center for Artificial Intelligence (FCAI)

09.04.2018 / 09:00 - 11:00
Chemicum A129, A.I. Virtasen aukio 1, 02150, Helsinki, FI

Finnish Center for Artificial Intelligence (FCAI) is proud to present a series of longer machine learning coffee sessions on themes of the research programmes of FCAI. These minisymposia will last for ~2 hours and consist of some longer talks and a set of 5-min flash talks. The purpose is both for the researchers already working on the theme to get to know what the others are working on, and for those interested in the theme to get to know who to talk to. Suggestions of flash talk topics are welcome - contact the organizers of the specific symposium.

The second minisymposium is on Simulator-based Inference, on April 9, 9:00-11:00, in Chemicum A129, Kumpula. We will serve porridge and coffee at 9:00am and the talk will begin at 9:15.

Speakers

Samuel Kaski: Inferring Cognitive Simulators From Data

  • I will discuss the intriguing problem of inferring parameters of cognitive simulator models from user interaction data. The parameters can include the goals, interests and capabilities of the user, which become disentangled in the inference.

Jukka Corander: Negative Frequency-Dependent Selection Dictates the Fate of Bacteria

  • In recent work we discovered that negative frequency-dependent selection (NFDS) acting on accessory genes appears as the dominating evolutionary force of populations of Streptococcus pneumoniae, which is a major human pathogen. This discovery was greatly facilitated by the recent advances in ABC inference brought by Bayesian optimization which has accelerated model fitting by several orders of magnitude. I will discuss the biological basis of the NFDS principle and show emerging evidence that it is commonly dictating the fate of bacteria also in ubiquitous organisms such as Escherichia coli.

Jaakko Lehtinen: Title TBA

Flash talks

Ville Kyrki: Simulator-based inference in robotics

Milica Todorović: Optimising Technologies with Bayesian Inference

Henri Pesonen: ABC and model selection

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During the Spring, we will have minisymposia also on Privacy-preserving and secure AI on May 7 and Interactive AI on May 14, interleaved with normal Machine learning coffee talks.

See the full programme of the Coffee series.