|
Mark Basham |
DLS |
Machine learning to accelerate materials discovery, modeling, and experiment at DIAMOND |
|
Keith Butler |
SCD, RAL |
Machine learning accelerated analysis of materials data: The Smart facility |
|
Jacqui Cole |
University of Cambridge/ISIS |
Machine Learning at ISIS |
|
Vincent Favre-Nicolin |
ESRF |
Machine Learning needs at ESRF |
|
Daniel Franke |
EMBL Hamburg |
Machine learning applications for Small Angle X-ray Scattering data collection and analysis at EMBL-Hamburg |
|
Garrett Granroth |
ORNL |
Machine Learning for accelerating understanding from Neutron Scattering Data |
|
Sergei Grudinin |
Inria/CNRS |
What does artificial intelligence see in 3D protein structures? |
| Allard Hendriksen | CWI | Machine Learning for improving image resolution in tomography |
|
Jeyan Thiyagalingam |
SCD,RAL |
Scientific Machine Learning Benchmarks |
|
Christoph Koch |
HU Berlin |
Applications of Artificial Neural Networks in Electron Microscopy |
|
Paolo Mutti |
ILL |
Machine Learning at ILL |
| Daniel Ratner | SLAC | Machine learning for an XFEL accelerator |
|
Joel Saltz |
Stony Brook University |
Deriving the big picture from huge spatial datasets: How to make a little training data go a long way |
|
James Sethian |
LBNL/UC Berkeley |
DOE's Center for Advanced Mathematics for Energy Research Applications (CAMERA): Artificial Intelligence, Machine Learning, and Experimental Facilities: Present and Future |
|
Carlos Oscar S. Sorzano |
CNB Madrid |
Machine learning algorithms for image processing in CryoEM |
| Bill Triggs | Laboratoire Jean Kuntzmann | Introduction to Machine Learning and Deep Neural Networks for scattering science |
|
Michael Unser |
EPFL, Lausanne |
Biomedical image reconstruction: From the foundations to deep neural networks |
|
Sofia Vallecorsa |
CERN |
Deep Generative Models for detector simulation |
|
Stefan Wild |
ANL |
Machine Learning at Argonne National Lab |
The list of speakers is regularly updated.
