Lawrence Berkeley National Lab. (US)
Author in the following contributions
- Calorimeter Simulation Challenge Proposal
- Symmetry Discovery with Deep Learning
- Testing Universality in various Monte Carlo Generators in Deep Learning with Application in Higgs-boson pair searches in 2HDM
- Amplifying Statistics with Generative Models
- Uncertainty Aware Learning for High Energy Physics
- OnlineFlow: Trigger Free Analysis Using Online Learned Generative Models
- Learning Uncertainties the Frequentist Way: Calibration and Correlation in High Energy Physics
- Latent Space Refinement for Deep Generative Models
- Identifying the Quantum Properties of Hadronic Resonances using Machine Learning
- Jet-based TMD measurements with H1 data, unfolded using machine-learning techniques
- Generative Adversarial Networks for Anomaly Detection at the LHC
- CATHODE part 2: robustness and comparison to other methods
- CATHODE part 1: introducing a new model-agnostic search strategy for resonant new physics at the LHC
- High-dimensional Anomaly Detection with Radiative Return in e+e- Collisions
