Machine Learning Coffee Seminars

About Us

Machine Learning Coffee seminars are weekly seminars held jointly by the Aalto University and the University of Helsinki. The seminars aim to gather people from different fields of science with interest in machine learning. Seminars will be held on Mondays at 9 am at Aalto University and the University of Helsinki every other week. At Aalto University, talks will be held in Konemiehentie 2, seminar room T5 and at the University of Helsinki in Kumpula, seminar room Exactum D123, unless otherwise noted. Talks will begin at 9:15 am and coffee will be served from 9:00 am.

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Upcoming Talks (2017)

Give a talk

If you are interested in giving a talk, feel free to send your suggested topic and abstract to

April. 3

Multilayer Networks

Abstract: Network science has been very successful in investigations of a wide variety of applications from biology and the social sciences to physics, technology, and more. In many situations, it is already insightful to use a simple (and typically naive) representation as a simple, binary graph in which nodes are entities and unweighted edges encapsulate the interactions between those entities. This allows one to use the powerful methods and concepts for example from graph theory, and numerous advances have been made in this way. However, as network science has matured and (especially) as ever more complicated data has become available, it has become increasingly important to develop tools to analyse more complicated structures. For example, many systems that were typically initially studied as simple graphs are now often represented as time-dependent networks, networks with multiple types of connections, or interdependent networks. This has allowed deeper and more realistic analyses of complex networked systems, but it has simultaneously introduced mathematical constructions, jargon, and methodology that are specific to research in each type of system. Recently, the concept of “multilayer networks” was developed in order to unify the aforementioned disparate language (and disparate notation) and to bring together the different generalised network concepts that included layered graphical structures. In this talk, I will introduce multilayer networks and discuss how to study their structure. Generalisations of the clustering coefficient for multiplex networks and graph isomorphism for general multilayer networks are used as illustrative examples.

Speaker: Mikko Kivelä

Affiliation: Postdoctoral Researcher, Aalto University

Place of Seminar: Aalto University

April. 10

Spectral Kernels


Speaker: Markus Heinonen

Affiliation: Academy of Finland Postdoctoral Fellow, Aalto University

Place of Seminar: University of Helsinki

April. 24


Speaker: Aino Tietäväinen

Affiliation: Doctoral Student, University of Helsinki

Place of Seminar: Aalto University


A history of previous talks can be found here.



Samuel Kaski  Professor of Computer Science, Aalto University
Teemu Roos Associate Professor of Computer Science, University of Helsinki
Homayun Afrabandpey PhD Student, Aalto University


Last updated on 29 Mar 2017 by Homayun Afrabandpey - Page created on 3 Dec 2016 by Homayun Afrabandpey