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Tag Archives: generative modeling
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 (Open 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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Eratosthenes: Deep generative modeling for indoor and outdoor positioning with fingerprinting methods
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
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Lifelong Generative Modeling
The case for lifelong learning Lifelong learning (also known as continual learning) is the problem of learning multiple consecutive tasks in a sequential manner where knowledge gained from previous tasks is retained and used for future learning [1]. Living in … Continue reading
Posted in blog
Tagged continual learning, generative modeling, lifelong learning
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