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ErUM-Data Workshop on Inverse Problems

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Room E.0.11. (Campus Garching)

Room E.0.11.

Campus Garching

Max-Planck-Institut für Astrophysik Karl-Schwarzschild-Str. 1 D-85748 Garching, Germany
Description

Due to the difficult travel conditions, the workshop is also being broadcasted online. Join here: https://rwth.zoom-x.de/j/67466745362 

This Workshop is hosted by the community organization DIG-UM with support from the BMBF-funded ErUM-Data-Hub.

The goal of the workshop is to get an overview on inverse problems in the ErUM-Data community, to discuss methods to solve them, and to foster exchange and cooperation between the ErUM-communities. In particular, the workshop is intended for early stage researchers.

Topics to be discussed include:

  • Inverse problems in Research on Universe and Matter (ErUM)
  • Bayesian reasoning
  • Differential programming
  • Generative models
  • Score based models (incl. diffusion models)
  • Dimensionality reduction
  • ErUM strategy

 

Confirmed Speaker:

  • Niels Thürey (TUM): Diffusion models
  • Oliver Schulz (MPP): Differential and probabilistic programming
  • Daniel Boschmann (EvalSpek-ML): Disassembling linear combinations into their constituent parts
  • Philipp Frank (MPA, ErUM-IFT): Signal reconstruction for fields
  • Frank Schreiber (Uni Tübingen, VIPR): Machine Learning for Surface Scattering
  • Jonas Kreidelmeyer  (CFEL, 4D-KI-track): Multi-detector 3D reconstruction for Xray-Fluorescence Imaging

 

A registration fee of 80€ will be charged for the workshop. 

The call for abstracts ends on 27.10.2023.

Registration
Registraion for Research Data Management - Expert Workshop
28 / 30
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Contact
  • Tuesday, 5 December
    • 08:30
      Coffee
    • Welcome
    • Session 1: Diffusion and State Space Models (Chair Vincent Eberle)
      • 1
        Invited Talk: Niels Thürey (TUM): Diffusion models
      • 2
        Out-of-Distribution Multi-set Generation with Context Extrapolation for Amortized Simulation and Inverse Problems
        Speaker: Hosein Hashemi (BELLE (BELLE II Experiment))
    • 11:20
      Coffee
    • Session 1: Tomography (Chair Margret Westerkamp)
    • 13:15
      Lunch
    • Session 2 (Chair Margret Westerkamp): Photons and Neutrons
      • 5
        Invited Talk: Frank Schreiber - Machine Learning for Surface Scattering
        Speaker: Frank Schreiber (Universität Tübingen)
      • 6
        Transformer based full parameter fitting of Neutron Scattering Experiments
        Speaker: Paul Weimer (TUM, FRM II)
    • 16:00
      Coffee
    • Session 2 (Chair Margret Westerkamp): Photons and Neutrons
      • 7
        X-ray and neutron scattering data for machine learning of invertible neural networks
        Speaker: Julian Eliah Heger (Technical University of Munich, TUM School of Natural Sciences, Department of Physics, Chair for Functional Materials)
        231205_Heger_ErUM.pdf
      • 8
        Optimizing synchrotron radiation based microtomography experiments
        Speaker: Thomas Jentschke (Hereon (Helmholtz-Zentrum Hereon))
      • 9
        Enabling online phase retrieval for in-situ and operando x-ray imaging
        Speakers: Andre Lopes Marinho (FS-PS (Photon Science)), Johannes Hagemann (FS-PETRA (PETRA III))
    • Workshop Dinner
  • Wednesday, 6 December
    • 08:00
      Coffee
    • Session 3 (Chair Matteo Guardiani): Imaging
      • 10
        Invited Talk: Philipp Frank (MPA, ErUM-IFT): Signal reconstruction for fields
        erum_ift_philipp_frank.pdf
      • 11
        Bayesian radio interferometric imaging
        Speaker: Jakob Roth (Max Planck Institut for Astrophysics)
        Resolve_Jakob_Roth.pdf
      • 12
        First spatio-spectral Bayesian imaging of SN1006 in Xray - Margret Westerkamp
    • 11:00
      Coffee
    • Session 4 (Chair Jakob Roth): Differential Programming and Inverse Problems
      • 13
        Invited Talk: Oliver Schulz (MPP): Differential and probabilistic programming
        Speaker: Oliver Schulz (MPI Munich)
      • 14
        Unfolding Atmospheric Neutrino Spectra
        Speaker: Tim Ruhe (TU Dortmund)
        Inverse_Problems_Garching.pdf
    • 13:00
      Lunch
    • ErUM-Data Strategy Discussion
      Convener: Thomas Kuhr (BELLE (BELLE II Experiment))
      ErUM-Data-Strategy-Discussion.pdf
    • 15:30
      Coffee
    • Session 4 (Chair Jakob Roth): Recovering Component Relations
      • 15
        Invited Talk: Daniel Boschmann (EvalSpek-ML): Disassembling linear combinations into their constituent parts
        Speaker: Daniel Boschmann (Helmut-Schmidt-Universität/ Bundeswehr Universität Hamburg)
        ErUM-Data Workshop.pptx
      • 16
        Bayesian Causal Inference - Matteo Guardiani
        BCI.pdf
    • Farewell
      Inverse Problems.pdf
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