With a shared vision and a strong Idiap-EPFL strategic alliance, the two institutions are seeking to appoint a new director, ready to take over the foreseen growth challenges, in collaboration with academic and industrial partners, a worldwide-recognized permanent staff of senior researchers, and a strong administrative support staff.
Idiap and EPFL foster interdisciplinary research and are committed to lead technological advances and translating innovation into new solutions. The new Idiap director and EPFL faculty member will:
• lead and manage Idiap to maintain its scientific reputation and strengthen its impact worldwide, through a strong commitment to excellence in research, education, and technology transfer,
• identify and foster outstanding potential and visionary ideas, specify strategic guidelines and address issues in current scientific, technological, and societal domains,
• initiate an independent and creative research program,
• as a faculty member of the EPFL School of Engineering, participate in undergraduate and graduate teaching and mentoring.
The successful candidate will be offered an appointment in the EPFL Institute of Electrical and Micro Engineering. She/he will be based at Idiap in Martigny and teach at EPFL main campus in Lausanne.
More information
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This economic question is also related to the mathematical field of "Optimal Transport".
A number of problems from science and society require solving optimal transport problems, be it in mathematical physics or in various disciplines related to artificial intelligence. However, until recently, extreme computational costs associated with algorithms used to tackle such problems drastically limited their applicability, even on powerful computers.
In his talk "Optimal Transport for Machine Learning" on February 12th, famous French mathematician Gabriel Peyré will present and discuss recent progresses on the topic and their use in fields such as image processing, computer vision, computer graphics, and more.
More information and registration: https://www.idiap.ch/talk/otml
]]>To run this major event, 1’850 reviewers from all around the world were asked to review the submitted papers for the conference. A crucial amount of work that is rewarded with a specific honor: be mentioned among the 100 Outstanding Reviewers, or the 5.6% elite. Idiap is glad that the head of Uncertainty quantification and optimal design group, David Ginsbourger is among these outstanding reviewers.
ICML Reviewers: https://icml.cc/Conferences/2018/Reviewers
David Ginsbourger group at idiap: Uncertainty Quantification and Optimal Design
]]>These talks took place within the framework of two workshops entitled "Key UQ methodologies and applications" and "Surrogate models for UQ in complex systems"
You can watch the talks here:
: Variations on the Expected Improvement
: Positive definite kernels for deterministic and stochastic approximations of (invariant) functions
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L'Idiap est fière d'annoncer que le Dr. David Ginsbourge, chercheur senior à l’Institut de Recherche Idiap vient de recevoir le titre de professeur par l’Université de Berne avec effet au 1er février 2018. Prof. Ginsbourger est aussi affilié à l'Institut de Mathématiques Statistiques et des Sciences actuarielles à cette même Université. Prof. Ginsbourger a rejoint l'Idiap en 2015 où il a créé et dirige le groupe de "Uncertainty Quantification and Optimal Design".
Prof. Ginsbourger s’intéresse principalement à la modélisation stochastique, l’optimisation globale et les algorithmes d’inversion, avec une expertise centrée sur les méthodes de processus gaussiens et la planification d’expériences numériques. Son groupe est actuellement en collaboration avec des collègues en statistiques, hydrologie, sciences climatiques, génie mécanique et plus encore.
Idiap is proud to announce that David Ginsbourger, senior researcher, has been awarded a title of professorship from University of Bern, Institute of Mathematical Statistics and Actuarial Science (IMSV).
Prof. Ginsbourger has been at Idiap since 2015. He has created and is heading the group of Uncertainty Quantification and Optimal Design. David Ginsbourger has been working as a Senior Assistant (from 2010) and then as a Dozent (from his habilitation in 2014) at the Institute of Mathematical Statistics and Actuarial Science of the University of Bern.
His main research interests are in stochastic modelling, global optimization and inversion algorithms. With a core expertise in Gaussian process methods and adaptive design of computer experiments, his group is currently involved in collaborations with peers from the fields of statistics, hydrology, climate sciences, mechanical engineering and many more.
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For this second edition, the focus was on challenges and opportunities of "Small data". This interdisciplinary event gathered a number of speakers and participants having to cope with small data with motivating applications in environment and geosciences, medicine, energy engineering, robotics and beyond.
Please find the link to the workshop website for more detail on the program: Valais/Wallis Workshop Program
Link: BayesOpt 2017 | Bayesian optimization for science and engineering
]]>Please visit the workshop website for more detail on the program and more:
Valais/Wallis Workshop on Artificial Intelligence 2
Registration is free of charge but the number of participants is limited.
We are looking forward to welcoming you at Idiap on this exciting occasion!
For his PhD thesis entitled "Contributions to Bayesian set estimation relying on random field priors" and defended on November 17th 2016, Dario Azzimonti was awarded the C. Moser Award for outstanding Ph.D. or M.Sc. theses within the Institute of Mathematical Statistics and Actuarial Science of the University of Bern. After having been a long term Idiap vistor within the Uncertainty Quantification and Optimal Design group, he is staying with the group as a postdoctoral researcher on a project funded by the Hasler foundation.
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