2nd workshop on Artificial Intelligence for the Electron Ion Collider

Tutorials

Maximilian Balandat (Meta / Facebook) --- Multi-Objective Optimization

• Link1
• Link2

Fernando Torales Acosta (Lawrence Berkeley National Laboratory), Vinicius Mikuni (National Energy Research Scientific Computing Center)  --- Unfolding with ML (OmniFold)

• GitHub link here: https://github.com/ftoralesacosta/AI4EIC_Omnfold
• Colab link: https://colab.research.google.com/drive/1zuU9MezTIQGPhXlPG1Y9QilyDcQk6L0K?usp=sharing 
• Specifically, the notebook: https://github.com/ftoralesacosta/AI4EIC_Omnfold/blob/master/DIS_Omnifold.ipynb
• Two data files on google drive that the tutorial uses:
  • https://drive.google.com/file/d/1aqxnY0qxTrNZzijoLIUD0StEwmEEVJW7/view?usp=sharing  
  • https://drive.google.com/file/d/1qaeH6Z1xjAzCDuII8DQyDs42F_Ow2rkX/view?usp=sharing

Kishan Rajput (Thomas Jefferson National Accelerator Facility Data Science) --- Machine Learning lifecycle

• Colab link: https://colab.research.google.com/drive/1qPIyfefaqofX1wNQ3TYPT_ABy749Ohd2?usp=sharing

Yihui (Ray) Ren (Brookhaven National Laboratory) --- Graph Neural Networks

• Colab link: https://colab.research.google.com/drive/16fF6q1CSnxnEqRSl7LDAb0evscfqMOrf?usp=sharing