Dmml is growing by the addition of three new team members
7.3.2023We are delighted to announce that our team has grown, as three new members have joined us within the last months. Dr. Nils Schaetti has joined our team this Fall. Nils holds a PhD from the University of Neuchâtel and has both academic experience, as a postdoc at UNIGE, as well as industrial experience. He will ...
Read moreResearch visits and international collaborations in our group
31.10.2022The last couple of weeks have been very vivid for our group, as we had the pleasure of welcoming two esteemed fellow researchers that visited us, Mr. Antoine Wehenkel from the University of Liège (Belgium) and Ms. Aicha Karite from the German Aerospace Center (DLR). The collaboration with Mr. Antoine Wehenkel and his group at the ...
Read morePost-doc position on generative models for inverse problems and simulation-based inference (Closed position).
30.1.2023We have an opening for a full-time post-doc position. The research target is to develop machine learning methods to solve inverse problems accounting for the inherent uncertainty of the inverse problem. We will formulate these problems as inference problems with prior scientific knowledge available in the form of simulators. We will follow the simulation-based inference ...
Read morePhD position on generative models for inverse problems and simulation-based inference (Closed position).
30.1.2023We have an opening for a PhD position. The research target is to develop machine learning methods to solve inverse problems accounting for the inherent uncertainty of the inverse problem. We will formulate these problems as inference problems with prior scientific knowledge available in the form of simulators. We will follow the simulation-based inference paradighm ...
Read morePost-doc position on generative models for discrete data structures (Closed position)
30.1.2023We have an opening for a full-time post-doc position on a research project on the development of generative models for discrete data structures, such as graphs and in particular molecules. We seek to develop generative models capable of conditional generation as well as what can be considered the equivalent of style transfer for discrete structures. ...
Read morePhD position on generative models for discrete data structures (Closed position)
30.1.2023We have an opening for a PhD position. The research target is the development of deep generative models for discrete data structures such as graphs and in particular molecules. We seek to develop generative models capable of conditional generation as well as what can be considered the equivalent of style transfer for discrete structures. The successful ...
Read moreLiBertaS: New research project funded by the Halser Foundation
20.4.2022We are very pleased to announce that the Hasler Foundation has approved the project proposal of Dr. Grigorios Anagnostopoulos, and will fund the project "LiBertaS". LiBertaS aims to liberate the access of Location Based Services (LBS) to the highly accurate fingerprinting methods in business practice, by greatly downscaling the data volume needed for their operation. ...
Read moreNew Journal Paper in Sensors MDPI
2.2.2022Our latest paper: “Can I Trust This Location Estimate? Reproducibly Benchmarking the Methods of Dynamic Accuracy Estimation of Localization”. has been published in the Journal Sensors by MDPI. This work reviews the relevant literature related to the accuracy estimation of indoor positioning systems, presenting in a consistent terminology commonalities and differences of existing works and discussing baselines and evaluation metrics. ...
Read more2021 Retrospective
19.12.2021As we approach the Christmas period, and holidays are ahead of us, we seize the opportunity and take a moment to reflect on the year that is about to be completed. Let's go!
Read morePhD Thesis defense of Lionel Blondé
17.12.2021Lionel Blondé will defend on Tuesday the 21st of December 2021 at 15:00 his PhD thesis entitled: "Counterfactual Interactive Learning: Designing Proactive Artificial Agents that Learn from the Mistakes of other Decision Makers" Due to the health measures currently in force, the thesis will be defended by video conference publicly, with up to 150 people connected to ...
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