deep learning

Events

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Thursday, 27th April | 14:30-16:00 p.m

Seminar Series: Computation & Data

Container Building C2/S2 (near Grandplatz), room 113-115 Holstenhofweg 85, Hamburg

 

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Monday, September 23th - Tuesday, September 24th, 2024 | 09:00 - 17:00

Workshop Deep Learning in Inverse Problems

DESY, Notkestraße 85, Hamburg

Join us in person on September 23-24, 2024 at DESY in Hamburg for a workshop on Deep Learning in Inverse Problems, jointly organized by DESY, DFG, FoDL, the University of Hamburg, and Helmholtz Imaging. Register by 15 September at here.

This workshop focuses on novel developments on learning based methods for inverse problems, including supervised learning and unsupervised learning such as learned regularizations and generative models for Bayesian inversion. Particular emphasis will be put on the understanding of foundations of learning in this area as well as novel applications including problems in imaging and speech/audio processing.

Speakers include:

  • Tatiana Bubba (University of Bath),
  • Antoine Deleforge (INRIA Nancy),
  • Berthy Feng (Caltech),
  • Eloi Moliner (Aalto University Helsinki), and
  • Ozan Öktem (KTH Stockholm).
Institutions

People

Institutions

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bAIome-Center for Biomedical AI, UKE

bAIome is a nucleation point for biomedical AI research at University medical clinic Hamburg-Eppendorf (UKE). 

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CoSy.Bio - Institute for Computational Systems Biology, UHH

CoSy.Bio is a nucleation point for AI-driven translation of medical data into clinical action at the Universität Hamburg (UHH).

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Data Science in Hamburg | Helmholtz Graduate School for the Structure of Matter, DESY & UHH & TUHH & HSU & HAW & Hereon & HZI & MPSD & EuXFEL

Helmholtz graduate school educating the next generation of international and interdisciplinary data scientists

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Helmholtz Imaging

Helmholtz Imaging's mission is to unlock the potential of imaging in the Helmholtz Association.

Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein. 

Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein. 

Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein.