Soft Margin Spectral Normalization for GANs
GNN for Deep Full Event Interpretation and hierarchical reconstruction of heavy-hadron decays in proton-proton collisions
Jet energy calibration with deep learning as a Kubeflow pipeline
Exploration of different parameter optimization algorithms within the context of ACTS software framework
Graph Neural Networks for Fast Track Finding
Parametric Optimization on HPC Clusters with Geneva
Lightweight integration of a data cache for opportunistic usage of HPC resources in HEP workflows
Fast Simulation for the Super Charm-Tau Factory Detector
Learn more about Computing and Software for Big Science