Category Archives: news

PhD Thesis defense of Jason Ramapuram

Jason Ramapuram will defend on Wednesday the 15th of September 2021 at 13:00 his PhD thesis entitled:  "Finding signals in the void: Improving deep latent variable generative models via supervisory signals present within data."  co-directed by Prof. Stephane Marchand-Maillet and … Continue reading

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Best student paper award by Joao Ramos in ECML/PKDD 2021

It is our pleasure to announce that Joao Ramos received the best student data mining paper award in ECML/PKDD 2021 for the work he did in modelling pathological gait to eventually support treatment planning. Joao's work takes place in the … Continue reading

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Departure of Magda Gregorova for a Professorship in Germany

After eight amazing years, one PhD acquired, the co-initiation of a new Master's program for HEG, several published papers, endless fruitful discussions in team meetings and numerous initiations of fun team activities, Dr. Magda Gregorova is departing from our group. … Continue reading

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Special session in IPIN2021

We are happy to announce that Greg is organising the Special Session "Data Compression, Data Augmentation and Generative Modeling in Indoor Positioning" in the upcoming Indoor Positioning and Indoor Navigation Conference (IPIN2021).

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Kanerva++ at ICLR21

The ICLR21 conference is still a few weeks away but to wet your appetite already, we are glad to let you know that Jason Ramapuram will be presenting there his new paper Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory. The paper is a result of a successful collaboration with Yan Wu from Deepmind.

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PhD Thesis defense of Amina Mollaysa

Amina Mollaysa will defend her PhD Thesis entitled "Structural and Functional Regularization of Deep Learning Models" on Friday 26/02/2021, at 15h00 CET. If you are interested in attending the PhD defence of Amina Mollaysa, please send an email with the title "Thesis defense Mollaysa - Zoom" to alexandros.kalousis@hesge.ch to receive the Zoom link.

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2020 Retrospective

What a year this was...! This retrospective though, won't be about the unprecedented situation that we all went through. We'll take some time to revisit the highlights of our group's activities throughout this year. Let's go!

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Papers in NeurIPS 2020

We are very happy to announce that the members of our team have had two accepted papers in NeurIPS 2020!

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Welcome to Naoya

We have the pleasure to welcome Naoya Takeishi as a new postdoc into our team. His expertise and experience with integrating the theoretical understanding of physical systems into machine learning as well as with data-driven analysis of nonlinear dynamical systems is a strong contribution to our research portfolio and we are looking forward to inspiring and enriching discussions and collaborations. Naoya will also reinforce our team in the industrial project IAI: Industrial Artificial Intelligence for intelligent machines and manufacturing digitalization. In addition to all the science he is about to immerse to, we wish he enjoys his stay with us and in Geneva, Switzerland and we hope to learn from him a little more about Japan and its culture. ようこそ!

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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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