Fine-tuning machine-learned particle-flow reconstruction for new detector geometries in future colliders.

A unified machine learning approach for reconstructing hadronically decaying tau leptons.

Tau lepton identification and reconstruction: A new frontier for jet-tagging ML algorithms.

Scalable neural network models and terascale datasets for particle-flow reconstruction.

Progress towards an improved particle flow algorithm at CMS with machine learning.

Hyperparameter optimization of data-driven AI models on HPC systems.

Machine Learning for Particle Flow Reconstruction at CMS.

Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learning.

Explaining machine-learned particle-flow reconstruction.

MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks.

hepaccelerate: Fast Analysis of Columnar Collider Data.