Archives: Thesis

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10FEB 2021
Deep Learning WS 20/21
Watch now: Deep Learning: Known Operator Learning – Part 2 (WS 20/21)
In this video, we show the theoretical foundations of known operator learning and how to derive maximal error bounds. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Known Operator Learning – Part 2 (WS 20/21)
09FEB 2021
News
Pattern Recognition Symposium – Feb 16th to 18th 2021
With great excitement, we announce the Pattern Recognition Symposium. From February 16th to 18th 2021, the members of the Pattern Recognition Lab will share their latest research on our traditional event. We are particularly happy to welcome our keynote speakers Gary Marcus (CEO of Robust.AI) at 17th of February 5 pm and Pim de Haan (group […]
Read more about Pattern Recognition Symposium – Feb 16th to 18th 2021
09FEB 2021
Deep Learning WS 20/21
Watch now: Deep Learning: Known Operator Learning – Part 1 (WS 20/21)
In this video, we ask ourselves whether we can find means to make deep learning a little safer, e.g. for medical applications. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Known Operator Learning – Part 1 (WS 20/21)
08FEB 2021
News
Prize for outstanding Master’s Thesis
Nora Gourmelon, a PhD student at the Pattern Recognition Lab, was awarded a prize for her excellent Master’s thesis “End-use Classification Using High-Resolution Smart Water Meter Data”. Parts of her Master’s thesis are published in an ECWS-5 paper (https://sciforum.net/paper/view/8225) and an article in the journal Water (https://www.mdpi.com/2073-4441/13/2/236). The outstanding performance is honored with a prize […]Nora Gourmelon, a PhD student at the Pattern Recognition Lab, was awarded a prize for her excellent Master’s thesis “End-use Classification Using High-Resolution Smart Water Meter Data”. Parts of her Master’s thesis are published in an ECWS-5 paper (https://sciforum.net/paper/view/8225) and an article in the journal Water (https://www.mdpi.com/2073-4441/13/2/236). The outstanding performance is honored with a prize […]
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08FEB 2021
Deep Learning WS 20/21
Watch now: Deep Learning: Graph Deep Learning – Part 2 (WS 20/21)
In this video, we demonstrate how to go from spectral to spatial domain in graphs. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Graph Deep Learning – Part 2 (WS 20/21)
06FEB 2021
News
Invited Talk: Isabel Valera, MPI Saarbrücken – Ethical ML: Mind the Assumptions! Feb 11th 2021, 12h CET
It is a great pleasure to announce Isabel Valera from Max Planck Institute (MPI) Saarbrücken as invited speaker at our lab! Title: “Ethical ML: mind the assumptions”Speaker: Prof. Dr. Isabel Valera (Saarland University & Max Planck Institute for Software Systems)Website: https://ivaleram.github.io/Location: https://fau.zoom.us/j/96629804884Date & Time: Feb 11th 2021, 12h CET Abstract: As automated data analysis supplements and even […]It is a great pleasure to announce Isabel Valera from Max Planck Institute (MPI) Saarbrücken as invited speaker at our lab! Title: “Ethical ML: mind the assumptions”Speaker: Prof. Dr. Isabel Valera (Saarland University & Max Planck Institute for Software Systems)Website: https://ivaleram.github.io/Location: https://fau.zoom.us/j/96629804884Date & Time: Feb 11th 2021, 12h CET Abstract: As automated data analysis supplements and even […]
Read more about Invited Talk: Isabel Valera, MPI Saarbrücken – Ethical ML: Mind the Assumptions! Feb 11th 2021, 12h CET