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Tag Archives: generative modeling
Learning generative models for molecules
Drug discovery is a well-known and challenging problem. Typically, one needs to navigate through a vast chemical space of up to \( 10^{60} \) small organic molecules to find a potential drug candidate with desired properties. Such a trial-and-error process … Continue reading
Posted in projects
Tagged generative modeling, graph network, machine learning, research project, snsf
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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
Posted in news
Tagged generative modeling, Hervégil, imahn, new member, nils, phd, phd in machine learning, phd student, postdoc, project, research project, snsf
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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
Posted in news
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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LiBertaS: Enhancing Location Based Services by tackling the market barrier of costly data collection requirements of fingerprinting positioning systems
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. Location Based Services (LBS) have recently undergone a tremendous increase … Continue reading
Posted in projects
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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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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Two Papers Presented in IPIN 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 , … Continue reading
Posted in news
Tagged eratosthenes, generative modeling, Greg, Grigorios G. Anagostopoulos, IPIN, IPIN conference, localization, outdoor localization, paper, papers, positioning, reproducibility
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PhD Thesis defense of Jason Ramapuram
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 … Continue reading
Posted in events, news
Tagged Alexandros Kalousis, deep leaning, generative modeling, Jason, Jason Ramapuram, Kanerva++, phd, PhD Thesis, presentation, VAE, Variational saccading
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Special session in IPIN2021
We are happy to announce that Greg is organising the Special Session "Data Compression, Data Augmentation and Generative Modeling in Indoor Positioning" in the upcoming Indoor Positioning and Indoor Navigation Conference (IPIN2021).
Posted in news
Tagged generative modeling, Greg, Grigorios G. Anagostopoulos, IPIN, IPIN conference, localization, paper, papers, positioning
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PhD Thesis defense of Amina Mollaysa
Amina Mollaysa will defend her PhD Thesis entitled "Structural and Functional Regularization of Deep Learning Models" on Friday 26/02/2021, at 15h00 CET. If you are interested in attending the PhD defence of Amina Mollaysa, please send an email with the title "Thesis defense Mollaysa - Zoom" to alexandros.kalousis@hesge.ch to receive the Zoom link.
Posted in events, news
Tagged Amina, Amina Mollaysa, deep leaning, generative modeling, phd, phd in machine learning, Thesis, VAE
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PhD student position, University of Geneva (Computer Science) and University of Applied Sciences (Closed position)
We have an opening for a PhD position. The research target is the development of deep generative models that can incorporate strong domain knowledge within the learning process. Such domain knowledge, typically available in scientific fields, can be encoded in … Continue reading
Posted in recruitment
Tagged deep leaning, generative modeling, job openings, machine learning, phd, phd in machine learning, phd student
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