Tag Archives: generative modeling

Learning generative models for molecules

Posted on 11.4.2023 by Grigorios Anagnostopoulos

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 →

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Dmml is growing by the addition of three new team members

Posted on 28.11.2022 by Grigorios Anagnostopoulos

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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LiBertaS: New research project funded by the Halser Foundation

Posted on 20.4.2022 by Grigorios Anagnostopoulos

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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LiBertaS: Enhancing Location Based Services by tackling the market barrier of costly data collection requirements of fingerprinting positioning systems

Posted on 20.4.2022 by Grigorios Anagnostopoulos

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 →

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PhD Thesis defense of Lionel Blondé

Posted on 17.12.2021 by Grigorios Anagnostopoulos

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 →

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Two Papers Presented in IPIN 2021

Posted on 14.12.2021 by Grigorios Anagnostopoulos

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 →

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PhD Thesis defense of Jason Ramapuram

Posted on 10.9.2021 by Grigorios Anagnostopoulos

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 →

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Special session in IPIN2021

Posted on 14.4.2021 by Grigorios Anagnostopoulos

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).

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PhD Thesis defense of Amina Mollaysa

Posted on 23.2.2021 by Grigorios Anagnostopoulos

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.

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PhD student position, University of Geneva (Computer Science) and University of Applied Sciences (Closed position)

Posted on 30.11.2020 by Grigorios Anagnostopoulos

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 →

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