Graph Neural Networks
We develop modern machine learning methods to enable discovery in particle physics, with an emphasis on interpretability, robustness, and uncertainty quantification.
- Deep learning for jet physics
- Simulation-based inference
- Foundation models for HEP
Evidential Deep Learning
We develop modern machine learning methods to enable discovery in particle physics, with an emphasis on interpretability, robustness, and uncertainty quantification.
- Deep learning for jet physics
- Simulation-based inference
- Foundation models for HEP
Explainable AI
We develop modern machine learning methods to enable discovery in particle physics, with an emphasis on interpretability, robustness, and uncertainty quantification.
- Deep learning for jet physics
- Simulation-based inference
- Foundation models for HEP
FAIR for Data and AI
We develop modern machine learning methods to enable discovery in particle physics, with an emphasis on interpretability, robustness, and uncertainty quantification.
- Deep learning for jet physics
- Simulation-based inference
- Foundation models for HEP