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Category Archives: news
Dmml is growing by the addition of three new team members
We 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 … Continue reading
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Tagged generative modeling, Hervégil, imahn, new member, nils, phd, phd in machine learning, phd student, postdoc, project, research project, snsf
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Research visits and international collaborations in our group
The 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 … Continue reading
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Tagged Aicha Karite, Alexandros Kalousis, Antoine Wehenkel, Grigorios G. Anagostopoulos, IPIN, IPIN conference, localization, machine learning, Naoy Takeishi, NeurIPS, positioning, SimGait, simulation-based inference
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Post-doc position on generative models for inverse problems and simulation-based inference (Closed position).
We 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 … Continue reading
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PhD position on generative models for inverse problems and simulation-based inference (Closed position).
We 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 … Continue reading
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Post-doc position on generative models for discrete data structures (Closed position)
We 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 … Continue reading
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PhD position on generative models for discrete data structures (Closed position)
We 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 … Continue reading
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LiBertaS: New research project funded by the Halser Foundation
We 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 … Continue reading
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Tagged generative modeling, Greg, Grigorios G. Anagostopoulos, IoT, IoT positioning, localization, LoRaWAN, LoRaWAN positioning, outdoor localization, Outdoor positioning, positioning, postdoc, project, research project
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New Journal Paper in Sensors MDPI
Our 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 … Continue reading
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Tagged Alexandros Kalousis, eratosthenes, Grigorios G. Anagostopoulos, IoT positioning, localization, LoRaWAN, LoRaWAN positioning, outdoor localization, Outdoor positioning, paper, positioning, snsf
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2021 Retrospective
As 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!
PhD Thesis defense of Lionel Blondé
Lionel 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 … Continue reading
Posted in events, news
Tagged Alexandros Kalousis, deep leaning, generative modeling, Lionel, Lionel Blonde, phd, PhD Thesis, presentation, VAE
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