Gregor Kasieczka
Universität Hamburg(DE)
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, High-Energy Particle Collisions Research, Quantum Chromodynamics and Particle Interactions, Particle Detector Development and Performance, Computational Physics and Python Applications
Most-Cited Works
- → Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed(2021)147 cited
- → Deep-learning top taggers or the end of QCD(2017)133 cited
- → Classifying anomalies through outer density estimation(2022)106 cited
- → Machine learning and LHC event generation(2023)103 cited
- → Deep-learned Top Tagging with a Lorentz Layer(2018)89 cited
- → Resonance searches with an updated top tagger(2015)87 cited
- → Decoding Photons: Physics in the Latent Space of a BIB-AE Generative Network(2021)73 cited
- → Robust Jet Classifiers through Distance Correlation(2020)72 cited
- → Morphological classification of radio galaxies: capsule networks versus convolutional neural networks(2019)65 cited
- → Hadrons, better, faster, stronger(2022)63 cited