Name: Artificial Intelligence workshop at EuXFEL
Start: 2021-06-08T08:45:00+02:00
End: 2021-06-08T18:00:00+02:00
Location: No location set

- 1
  
  Welcome
  
  Speaker: Robert Feidenhans'l (European XFEL)
- 2
  
  Classification of diffraction patterns in single particle imaging experiments using a convolutional neural network
  
  Speaker: Alexandr Ignatenko (Deutsches Elektronen-Synchrotron DESY)
  
  Ignatenko_EuXFEL_2021-06-08.pdf
- 3
  
  Improving the quality of the spectroscopic analysis by supervised machine learning
  
  Speaker: Alexander Guda ( Southern Federal University)
- 4
  
  ML applications within automated data analysis pipelines for MX at Diamond - current state and future plans
  
  Speaker: Melanie Vollmar (Diamond Light Source)
  
  ML_Diamond_pipelines_EuXFEL.pdf
- 10:15
  
  Coffee break
- 5
  
  Machine Learning for data reduction in serial x-ray diffraction imaging
  
  Speaker: Alireza Sadri (Center for Free-Electron Laser Science (DESY))
- 6
  
  Improving BESSY II Operation with ML Tools: RL for Beam Control
  
  Speaker: Luis Vera Ramirez (Helmholtz-Zentrum Berlin)
  
  20210608_EuXFEL_HZB_Vera.pdf
- 7
  
  Reinforcement Learning parameter optimization of classical peak-finding and indexing methods
  
  Speakers: Arman Davtyan (European XFEL), Danilo Enoque Ferreira de Lima (European XFEL)
  
  RL_for_CrystFEL.pdf
- 8
  
  ML-based sample centering for macromolecular x-ray crystallography with MXAimbot
  
  Speaker: Isak Lindhé (MAX IV)
- 12:25
  
  Lunch
- 9
  
  Finding similarity in diffraction images using deep learning
  
  Speaker: Julian Zimmermann (ETH Zürich)
- 10
  
  Applied Deep Learning for Segmentation and Object Detection at DESY
  
  Speaker: Philipp Heuser (Deutsches Elektronen-Synchrotron DESY)
- 11
  
  ML-driven Reconstruction of X-ray Scattering Data
  
  Speaker: Nico Hoffmann (Helmholtz-Zentrum Dresden-Rossendorf)
- 12
  
  Application of neural networks to small angle scattering data analysis
  
  Speaker: Dima Molodenskiy (European Molecular Biology Laboratory Hamburg)
- 15:25
  
  Coffee break
- 13
  
  Disentangling structural heterogeneity in X-ray single particle imaging
  
  Speaker: Kartik Ayyer (Max Planck Institute for the Structure and Dynamics of Matter)
- 14
  
  Phase retrieval via deep neural networks
  
  Speaker: Longlong Wu (Brookhaven National Lab)
  
  Phase Retrieval via Deep Neural Networks.pdf
- 15
  
  Recovering the Phase and Amplitude of X-ray FEL Pulses with Neural Networks
  
  Speaker: Daniel Fried Ratner (Stanford Linear Accelerator Center)
  
  XFEL-Workshop-2021.pptx
- 16
  
  Summary
  
  Speaker: Luca Gelisio (European XFEL)
  
  AI.pdf

Artificial Intelligence workshop at EuXFELZoom Video Conference