Open Access
| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01032 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/epjconf/202533701032 | |
| Published online | 07 October 2025 | |
- CMS Collaboration, Anomaly Detection in the CMS Global Trigger Test Crate for Run 3. (2023). https://cds.cern.ch/record/2876546 [Google Scholar]
- CMS Collaboration, 2024 Data Collected with AXOL1TL Anomaly Detection at the CMS Level-1 Trigger. (2024). https://cds.cern.ch/record/2904695 [Google Scholar]
- CMS Collaboration, Level-1 Trigger Calorimeter Image Convolutional Anomaly. (2023). https://cds.cern.ch/record/2879816 [Google Scholar]
- Model-Independent Real-Time Anomaly Detection at the CMS Level-1 Calorimeter Trigger with CICADA. (2024). https://cds.cern.ch/record/2917884 [Google Scholar]
- G. E. Hinton and R. R. Salakhutdinov, Reducing the Dimensionality of Data with Neural Networks. Science 313, 504-507 (2006). https://www.science.org/doi/abs/10.1126/science.1127647 [CrossRef] [Google Scholar]
- Diederik P Kingma and Max Welling, Auto-Encoding Variational Bayes. arXiv eprint, 1312.6114 (2022). https://arxiv.org/abs/1312.6114 [Google Scholar]
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