Dr
CERN
Author in the following contributions
- ML for SUEP Detection
- Unsupervised learning for real-time SUEP detection in a High Level Trigger system at the LHC
- Using Graph autoencoders to trigger on new physics at the LHC
- Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders
- Learning New Physics aware of systematic uncertainties
- Neural network based primary vertex reconstruction with FPGAs for the upgrade of the CMS level-1 trigger system
- Optimized Deep Learning Inference on High Level Trigger at the LHC: Computing time and Resource assessment
- Explaining machine-learned particle-flow reconstruction
- Neural network distributed training and optimization library (NNLO)
- Object condensation for end-to-end reconstruction in high occupancy calorimeters with graph neural networks
- Quantum Machine Learning algorithms in the latent space of HEP events
