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Artificial Intelligence workshop at EuXFELZoom Video Conference

→ Europe/Berlin
Arman Davtyan (Eur.XFEL (European XFEL)), Danilo Enoque Ferreira de Lima (Eur.XFEL (European XFEL)), Luca Gelisio (European XFEL), Steve Aplin (European XFEL)
Description

Online workshop hosted by the European XFEL to discuss the latest development in Artificial Intelligence applied to photon science.

    • 08:45 → 09:00
      Welcome 15m
      Speaker: Robert Feidenhans'l (European XFEL)
    • 09:00 → 09:25
      Classification of diffraction patterns in single particle imaging experiments using a convolutional neural network 25m
      Speaker: Alexandr Ignatenko (Deutsches Elektronen-Synchrotron DESY)
      Ignatenko_EuXFEL_2021-06-08.pdf
    • 09:25 → 09:50
      Improving the quality of the spectroscopic analysis by supervised machine learning 25m
      Speaker: Alexander Guda ( Southern Federal University)
    • 09:50 → 10:15
      ML applications within automated data analysis pipelines for MX at Diamond - current state and future plans 25m
      Speaker: Melanie Vollmar (Diamond Light Source)
      ML_Diamond_pipelines_EuXFEL.pdf
    • 10:15 → 10:45
      Coffee break 30m
    • 10:45 → 11:10
      Machine Learning for data reduction in serial x-ray diffraction imaging 25m
      Speaker: Alireza Sadri (Center for Free-Electron Laser Science (DESY))
    • 11:10 → 11:35
      Improving BESSY II Operation with ML Tools: RL for Beam Control 25m
      Speaker: Luis Vera Ramirez (Helmholtz-Zentrum Berlin)
      20210608_EuXFEL_HZB_Vera.pdf
    • 11:35 → 12:00
      Reinforcement Learning parameter optimization of classical peak-finding and indexing methods 25m
      Speakers: Arman Davtyan (European XFEL), Danilo Enoque Ferreira de Lima (European XFEL)
      RL_for_CrystFEL.pdf
    • 12:00 → 12:25
      ML-based sample centering for macromolecular x-ray crystallography with MXAimbot 25m
      Speaker: Isak Lindhé (MAX IV)
    • 12:25 → 13:45
      Lunch 1h 20m
    • 13:45 → 14:10
      Finding similarity in diffraction images using deep learning 25m
      Speaker: Julian Zimmermann (ETH Zürich)
    • 14:10 → 14:35
      Applied Deep Learning for Segmentation and Object Detection at DESY 25m
      Speaker: Philipp Heuser (Deutsches Elektronen-Synchrotron DESY)
    • 14:35 → 15:00
      ML-driven Reconstruction of X-ray Scattering Data 25m
      Speaker: Nico Hoffmann (Helmholtz-Zentrum Dresden-Rossendorf)
    • 15:00 → 15:25
      Application of neural networks to small angle scattering data analysis 25m
      Speaker: Dima Molodenskiy (European Molecular Biology Laboratory Hamburg)
    • 15:25 → 15:55
      Coffee break 30m
    • 15:55 → 16:20
      Disentangling structural heterogeneity in X-ray single particle imaging 25m
      Speaker: Kartik Ayyer (Max Planck Institute for the Structure and Dynamics of Matter)
    • 16:20 → 16:45
      Phase retrieval via deep neural networks 25m
      Speaker: Longlong Wu (Brookhaven National Lab)
      Phase Retrieval via Deep Neural Networks.pdf
    • 16:45 → 17:10
      Recovering the Phase and Amplitude of X-ray FEL Pulses with Neural Networks 25m
      Speaker: Daniel Fried Ratner (Stanford Linear Accelerator Center)
      XFEL-Workshop-2021.pptx
    • 17:10 → 17:25
      Summary 15m
      Speaker: Luca Gelisio (European XFEL)
      AI.pdf
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