• 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!

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  • SNSF Spark project granted to Dr. Grigorios Anagnostopoulos


    We are delighted to announce that Dr. Grigorios Anagnostopoulos has been awarded a funding under the Spark funding scheme of the Swiss Nation Science Foundation (SNSF), for his project "Eratosthenes: Deep generative modeling for indoor and outdoor positioning with fingerprinting methods". 

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  • Jason to present DAB


    A couple of months ago Jason Ramapuram interned in Apple Machine Learning Research. Among other things, he worked with Russ Webb on a  novel method allowing for the use of simple non-differentiable functions at intermediary layers of deep neural networks. The outcome of these efforts, the Differential Approximation Bridges (DAB), are new neural network components ...

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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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  • New forces for our team


    Our team has expanded again. We have the pleasure to welcome Marc Desaules, who is working with us on his Master thesis for the GSEM faculty of the University of Geneva, and Yoann Boget, a fresh new PhD in the CS department of Unige.

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  • Joao successfully defended his Master Thesis on Modelling Pathological Gait


    Joao Candido Ramos successfully defended his Master Thesis entitled "Patient-Specific Pathological Gait Modelling with Relational Networks", on Wednesday the 10th of February. We congratulate Joao for his high quality work and we are very happy to welcome him as a PhD candidate!!!

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  • New project kick-off – IAI


    Last week we successfully kicked off a new project with ABB Schweiz AG - IAI: Industrial Artificial Intelligence for Intelligent Machines and Manufacturing Digitalization.  The project shall focus on the monitoring and data analytics services provided by the ABB AbilityTM Digital Powertrain in their Motion business portfolio. The project is funded by Innosuisse under the ...

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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 ...

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  • 2019 Retrospective


    As we are approaching the beginning of 2020, it is worth taking a minute to reflect over the year 2019. People first! We are thrilled to have welcomed two new PhD students in our group this year: Sooho Kim , who is a PhD candidate at the Seoul National University, has joined our team as a visiting ...

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  • Paper presentation in ACML 2019


    Amina presented her recent work Learning to Augment with Feature Side-information in this year's edition of ACML, which took place in the beautiful Nagoya, in Japan. Attending this conference has been a great opportunity to follow the latest advancements of the field, and exchange with esteemed colleagues. Moreover, the trip to Japan has been refreshing and inspiring, ...

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