Difference between revisions of "AI tutorials"
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Revision as of 11:58, 23 January 2025
Contents
Purpose
The overall topic is: „Best practice for AI in nuclear physics applications“. We wish to cover the following items via plenary talks and/or interactive tutorials:
- Feature engineering --> Feature normalization, correlation coefficients, feature selection, etc.
- Overfitting --> Dropout layers, weight regularization, etc.
- Performance evaluation --> ROC-Curve, confusion matrix, accuracy, loss curves,...
- Visualization --> How to properly present the performance of a model ? What are "good" diagnostic plots ?
- Model deployment --> How to use a model within the GlueX analysis software
- Data fed into models --> What data sets are used ? Numerical, vs. Images, raw data vs. clean data,...
- Tools made available by the data science department
- Optional, depending on time: HPO --> Tune the parameters of your model
- Optional, depending on time: Bookkeeping of models via MLFlow
Location and Time
The workshop will take place at:
DATES: February 18 (all day) - 19 (morning only), 2025
LOCATION: CEBAF Center F113
Remote Participation
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References
Workshop Software
Agenda
Feb 18
Feb 19
Registration
Please add your name to the list of attendees below. No formal registration or registration fee is required.
| Name | Home Institution | Level | Participate at JLab |
|---|---|---|---|
| ig | JLab | Staff | Yes |
| Daniel | JLab | Staff | Yes |
| Gyang | Virginia Tech | Student | Yes |
| Karthik | William and Mary | Postdoc | No |
| Zachary Baldwin | Carnegie Mellon University | Graduate Student | Yes |
