Tag Archives: VAE

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 →

Posted in events, news | Tagged Alexandros Kalousis, deep leaning, generative modeling, Lionel, Lionel Blonde, phd, PhD Thesis, presentation, VAE | Comments Off

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 →

Posted in events, news | Tagged Alexandros Kalousis, deep leaning, generative modeling, Jason, Jason Ramapuram, Kanerva++, phd, PhD Thesis, presentation, VAE, Variational saccading | Comments Off

Best student paper award by Joao Ramos in ECML/PKDD 2021

Posted on 10.9.2021 by Grigorios Anagnostopoulos

It is our pleasure to announce that Joao Ramos received the best student data mining paper award in ECML/PKDD 2021 for the work he did in modelling pathological gait to eventually support treatment planning. Joao's work takes place in the … Continue reading →

Posted in news | Tagged Alexandros Kalousis, award, best paper award, conference, ECML/PKDD conference, graph network, Joao, Lionel Blonde, paper, SimGait, snsf, VAE | Comments Off

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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Posted in events, news | Tagged Amina, Amina Mollaysa, deep leaning, generative modeling, phd, phd in machine learning, Thesis, VAE | Comments Off

Eratosthenes: Deep generative modeling for indoor and outdoor positioning with fingerprinting methods

Posted on 15.10.2020 by Grigorios Anagnostopoulos

Eratosthenes is a research project funded under the Spark funding scheme of the Swiss National Science Foundation (SNSF). The aim of the Spark is to fund postdoctoral researchers to implement "projects that show unconventional thinking and introduce a unique approach". The relevant criteria for the award … Continue reading →

Posted in projects | Tagged generative modeling, Greg, Grigorios G. Anagostopoulos, IoT, IoT positioning, localization, LoRaWAN positioning, outdoor localization, Outdoor positioning, positioning, postdoc, project, research project, snsf, VAE | Comments Off

Frantzeska at Swiss Machine Learning Day on 13Nov2019

Posted on 1.11.2019 by Magda Gregorová

In addition to being a busy mother of a 2 year old, in her research, Frantzseska Lavda has been investigating how to improve the generative properties of variational autoencoders. She will present her ideas in a poster session of the … Continue reading →

Posted in news | Tagged conference, Frantzeska, Frantzeska Lavda, VAE | Comments Off