JavaScript is required to use this site. Please enable JavaScript in your browser settings.

Contact

Variational Autoencoder
How Asterix pushes data from high- to low dimensional representation

On 20.06.2024 at 11 a.m., the 26th lecture of the Living Lab lecture series took place. In this talk, Dr. Jan Ewald from Leipzig University and Dr. Nico Scherf from MPI-CBS talked about Variational Autoencoder – How Asterix pushes data from high- to low dimensional representation.

Variational Autoencoder – How Asterix pushes data from high- to low dimensional representation

In the era of high-dimensional data in biomedical research and other application areas, representation learning and dimension reduction by deep learning networks have become a popular choice and vivid field of research. Variational Autoencoders (VAE) are probabilistic deep learning networks and their derivatives are promising solutions for explainable representation learning or cross-modal data integration. In our lecture we will touch the basics, show the application to molecular data in biomedical research and our latest framework development for the application of VAE to any data and research.

Living Lab Lecture Series

The Living Lab Lecture Series gives you an in-depth insight into the many research topics of ScaDS.AI Dresden/Leipzig. From Natural Language Processing to Ethics and Moral Code in AI, a great variety of topics are discussed. You can join our lectures every first thursday of the month or watch them on YouTube afterwards. If you have ideas for topics to discuss in the future, please let our Living Lab team know. We suggest for you to regularly check our event calendar, to never miss out on upcoming lectures or other interesting events organized by or in cooperation with our center.

You can reach the permanent room for all lectures here: https://tud.link/i8zf

The room will be accessible 5 minutes before the start of the lecture.

The participation is free for everyone.

No! Not at all. One of our goals in the Living Lab lecture series is to familiarize everyone with these topics.

You just need an up-to-date browser such as Firefox, Google Chrome or Chromium. We would also recommend using headphones for better audio quality.

Not unless you would like to! In general, there is no need to have a camera or microphone to participate in the lecture.

Alongside joining the discussion with your camera and microphone, there is also the possibility to submit your question and comments as a written comment in the Chat section.

funded by:
Gefördert vom Bundesministerium für Bildung und Forschung.
Gefördert vom Freistaat Sachsen.