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 weekly on Mondays at 9 am - 10 am. The location alternates between Aalto University and the University of Helsinki. At Aalto University, talks will be held in Konemiehentie 2, seminar room T5 and at the University of Helsinki in Kumpula, seminar room Exactum D122 (Gustaf Hällströmin katu 2b), unless otherwise noted. Talks will begin at 9:15 am and coffee will be served from 9:00 am.

Subscribe to our mailing list where seminar topics are announced beforehand.

 

Upcoming Talks (2018)

Give a talk

If you are interested in giving a talk, feel free to send your suggested topic and abstract to mlseminar@hiit.fi

Spring 2018


Jan. 22

Confident Bayesian Learning of Graphical Models

Abstract: Confident Bayesian learning amounts to computing summaries of a
posterior distribution either exactly or with probabilistic accuracy guarantees. I will review the state of the art in confident Bayesian structure learning in graphical models, focusing on the class of Bayesian networks and its subclass of chordal Markov networks
.

Speaker: Mikko Koivisto

Affiliation: Professor of Computer Science, University of Helsinki

Place of Seminar: University of Helsinki


Jan. 29

Abstract: 

Speaker:

Affiliation:

Place of Seminar: Aalto University


Feb. 5

Studying mutational processes in cancer

Abstract: Somatic mutations in cancer have accumulated during its evolution and are caused by different exposures to carcinogens and therapeutic agents, as well as, intrinsic errors that occur during DNA replication. Analysing a set of cancer samples jointly allows to explain their somatic mutations as a linear combination of (to be learned) mutational signatures. In this presentation I will discuss the problem of learning mutational signatures from cancer data using probabilistic modelling and nonnegative matrix factorisation. I further describe our on going work using mutational signatures in the context of drug response prediction and extensions of the basic model to explicitly include DNA repair processes. .

Speaker: Ville Mustonen

Affiliation: Professor of Mathematics and Natural Science, University of Helsinki

Place of Seminar: University of Helsinki


Feb. 12

Abstract:

Speaker: Michael Betancourt

Affiliation: University of College London

Place of Seminar: Aalto University


Feb. 19

Abstract: 

Speaker:

Affiliation:

Place of Seminar: University of Helsinki

Feb. 26

Abstract: 

Speaker: Melih Kandemir

Affiliation: Professor of Computer Science, Özyeğin University

Place of Seminar: Aalto University


 

History of Previous Talks

 

Organizers


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 16 Jan 2018 by Homayun Afrabandpey - Page created on 3 Dec 2016 by Homayun Afrabandpey