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Category Archives: news
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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Tagged Alexandros Kalousis, Amina, Amina Mollaysa, internships, Jason, Jason Ramapuram, NeurIPS, NIPS, NIPS conference, papers
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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!
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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Tagged invited talk, machine learning, phd student, presentation, statistical learning, Talk, workshop
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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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Tagged eratosthenes, grant, Greg, Grigorios G. Anagostopoulos, project, research project, snsf, spark
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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. … Continue reading
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Tagged collaboration, conference, deep leaning, Jason, Jason Ramapuram, paper, presentation
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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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Tagged invited talk, machine learning, Seminar, statistical learning, statistics, Talk, workshop
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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.
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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Tagged GNN, Joao, Master thesis, SimGait
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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 bilateral collaboration with the South Korean Institute for Advancement of Technology as such we are also happy to have South Korean academic and industrial partners on board to provide their expertise on industrial predictive maintenance. You can find more about the project in the list of our collaborations.
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Tagged abb, collaboration, kick-off, predictive maintenance, project
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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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Tagged Guillaume Obozinski, invited talk, Talk
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