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DATAIA Seminars
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DATAIA Seminar | « Clustering and representations of climate scenarios » - Matthieu Jonckheere

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DATAIA Seminar | « Clustering and representations of climate scenarios » - Matthieu Jonckheere

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Closing date for registration : 02.04.20
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Zoom - Meeting ID: 275 278 6717
Date de l'événement (intitulé)
7 May 2020 - 15.00
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As part of its scientific activities, the DATAIA Institute organises seminars aimed at discussing about AI.
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Matthieu Jonckheere (Universidad de Buenos Aires) is leading the DATAIA seminar of May 7th, on the topic « Clustering and representations of climate scenarios ».

 

We investigated climate scenarios among a large number of temperature simulations provided by RTE (Réseau de transport d’Electricité). In particular, we were interested in performing the following tasks:
- clustering scenarios and selecting representatives,

- getting a finer understanding of the involved dynamics,

- defining the notion of quantiles for the time-series.

We studied many practical methods, some of which gave meaningful (according to the expertise of RTE) clusters. We proposed an index allowing to assess and interpret the performance of the clustering methodology.

We also work on sparse representations of the time-series using differential equations and on the definition of quantile in this context.

Joint work with Y. Barrera (Aristas), L. Boechi (Conicet), V. Lefieux (RTE),  D. Picard (Paris VII), A. Somacal (Aristas), A. Umfurer (Aristas), E. Smucler (Aristas, Di Tella University)
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Matthieu Jonckheere received his PhD in applied mathematics from the Ecole Polytechnique (Paris, France). He later completed a postdoc at CWI (Amsterdam) and became an assistant professor at Eindhoven University of Technology. He is now a Conicet researcher and professor at the University of Buenos Aires. He has worked extensively in probability theory and performance evaluation of information and communication systems and more recently in unsupervised learning.

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The seminar will take place on May 7th at 15.00 on Zoom.

To attend the seminar click here (Meeting ID: 275 278 6717)

The seminar is open to everyone. No registration required.

 

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