Tag Archives: Talk

Statistical Learning Workshop – Tentative program available

The tentative program of the Statistical Learning Workshop, which takes place on-line the whole day of the 18th of September, is now available on the workshop's site http://dmml.ch/statistical-learning-workshop/!

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Statistical Learning Workshop – 18 September 2020

In this workshop we bring together the research communities of statistics and machine learning to foster a discussion between the two fields and develop research synergies. The workshop takes place on-line the whole day of 18/September. Depending on the COVID-19 status at the time a restricted physical presence version might also take place.

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Guillaume Obozinski talk on learning dependency graphs with latent variables

Wednesday, January 22nd 2020, we have the pleasure to welcome Guillaume Obozinski, the Deputy Chief Data Scientist at the Swiss Data Science Center, to give us a talk on "Convex unmixing and learning the effect of latent variables in Gaussian Graphical models with unobserved variables". The talk will take place in the HEG building B of the Battelle Campus in Carouge, room 4.11 (fourth floor) at 11am-12am.

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TechLunch – meeting industry

In cooperation with the Geneva Creativity Center we're organizing on 22nd October 2019 a TechLunch to  discuss with companies in the Geneva region what machine learning can bring to them. It is an occasion for anybody interested in applying machine … Continue reading

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Talk by prof. Byeng Dong YOUN

In developing our collaborations with experts and scholars around the globe, we were happy to welcome Dr. Byeng Dong YOUN, Professor of Mechanical and Aerospace Engineering at Seoul National University (SNU), the founder and CEO of OnePredict Inc. (onepredict.com), and the President of the Korean Society of Prognostics and Health Management (PHM). Prof. Youn presented his talk on Industry AI based Machine Intelligences for Industrial Digitalization and we discussed the challenges related to applying machine learning techniques in industrial monitoring.

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