News

  • Post-doc position on generative models for inverse problems and simulation-based inference (currently open).

    30.6.2022

    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 prior scientific knowledge available in the form of simulators. We will follow the simulation-based inference ...

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  • PhD position on generative models for inverse problems and simulation-based inference (currently open).

    30.6.2022

    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 scientific knowledge available in the form of simulators. We will follow the simulation-based inference paradighm ...

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  • Post-doc position on generative models for discrete data structures (currently open)

    14.6.2022

    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 as well as what can be considered the equivalent of style transfer for discrete structures. ...

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  • PhD position on generative models for discrete data structures (currently open)

    15.6.2022

    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 well as what can be considered the equivalent of style transfer for discrete structures. The successful ...

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  • LiBertaS: New research project funded by the Halser Foundation

    20.4.2022

    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 fingerprinting methods in business practice, by greatly downscaling the data volume needed for their operation. ...

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  • New Journal Paper in Sensors MDPI

    2.2.2022

    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 systems, presenting in a consistent terminology commonalities and differences of existing works and discussing baselines and evaluation metrics. ...

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  • 2021 Retrospective

    19.12.2021

    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!

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  • PhD Thesis defense of Lionel Blondé

    17.12.2021

    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 force, the thesis will be defended by video conference publicly, with up to 150 people connected to ...

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  • Two Papers Presented in IPIN 2021

    17.12.2021

    Attending a conference in a presential mode, after two years of online events, can be quite a thrill!At the end of November 2021, Greg the pleasure to attend the 11th Indoor Positioning and Indoor Navigation (IPIN 2021) International Conference , in Lloret de Mar, Spain. In the conference, he presented two works: “ProxyFAUG: Proximity-based Fingerprint Augmentation”: ...

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  • PhD Thesis defense of Jason Ramapuram

    14.12.2021

    Jason Ramapuram will defend on Wednesday the 15th of September 2021 at 13:00 his PhD thesis entitled:  "Finding signals in the void: Improving deep latent variable generative models via supervisory signals present within data."  co-directed by Prof. Stephane Marchand-Maillet and Prof. Alexandros Kalousis.  The defense will take place over zoom: https://unige.zoom.us/j/92411673708?pwd=QXJ5Yjczb0MrMTdtNTF2OENMRmIyUT09#success  In order to facilitate the organisation of ...

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