2020 Retrospective
9.12.2020What 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!
Read morePapers in NeurIPS 2020
9.10.2020We are very happy to announce that the members of our team have had two accepted papers in NeurIPS 2020!
Read moreWelcome to Naoya
26.9.2020We 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 ...
Read moreStatistical Learning Workshop – Tentative program available
7.9.2020The 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/!
Read moreSNSF Spark project granted to Dr. Grigorios Anagnostopoulos
31.8.2020We 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".
Read moreJason to present DAB
19.7.2020A 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 ...
Read moreStatistical Learning Workshop – 18 September 2020
16.7.2020In 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.
Read moreNew forces for our team
20.5.2020Our 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.
Read moreJoao successfully defended his Master Thesis on Modelling Pathological Gait
14.2.2020Joao 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!!!
Read moreNew project kick-off – IAI
10.2.2020Last 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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