Heinrich, Lukas
- Machine Learning in High Energy Physics Community White Paper
2018/07/08 by Kim Albertsson, Piero Altoè, Albertsson, Kim +224 · 7 citations
Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neutrino Physics Research #Particle Detector Development and Performance #Particle physics theoretical and experimental studies
- Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models
2024/01/24 by T. Golling, Golling, Tobias, L. Heinrich +11 · 12 citations
Computer Science · Engineering · Physics and Astronomy · #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Nuclear reactor physics and engineering #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an)
- Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper
2022/03/22 by T. Dorigo, A. Giammanco, Dorigo, Tommaso +69 · 6 citations
Engineering · Medicine · Materials Science · #Nuclear reactor physics and engineering #Radiation Therapy and Dosimetry #Electron and X-Ray Spectroscopy Techniques
- Learning Optimal Test Statistics in the Presence of Nuisance Parameters
2022/03/24 by L. Heinrich, Heinrich, Lukas · 3 citations
Computer Science · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms #Machine Learning and Data Classification #Methodology (stat.ME) #Statistics and Probability (physics.data-an)
- Is Tokenization Needed for Masked Particle Modelling?
2024/09/19 by Leigh, Matthew, Klein, Samuel, Charton, François +5 · 6 citations
#FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG)
- Finetuning Foundation Models for Joint Analysis Optimization
2024/01/24 by Matthias Vigl, Vigl, Matthias, N. M. Hartman +3 · 4 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Data Analysis #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an)
- Hierarchical Neural Simulation-Based Inference Over Event Ensembles
2023/06/21 by L. Heinrich, Siddharth Mishra-Sharma, Heinrich, Lukas +5 · 2 citations
Computer Science · Decision Sciences · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Scientific Computing and Data Management #Simulation Techniques and Applications
- HGPflow: Extending Hypergraph Particle Flow to Collider Event Reconstruction
2024/10/30 by Kakati, Nilotpal, Dreyer, Etienne, Ivina, Anna +4 · 4 citations
#FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Instrumentation and Detectors (physics.ins-det)
- Configurable calorimeter simulation for AI applications
2023/03/03 by F. A. Di Bello, Di Bello, Francesco Armando, Anton Charkin-Gorbulin +21 · 1 citation
Decision Sciences · Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG) #Particle Detector Development and Performance #Radiation Effects in Electronics #Scientific Computing and Data Management
- Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF
2025/03/18 by Caron, Sascha, Ipp, Andreas, Aarts, Gert +16 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Astrophysical Phenomena (astro-ph.HE) #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Nuclear Theory (nucl-th)
- Combined track finding with GNN & CKF
2024/01/29 by Heinrich, Lukas, Huth, Benjamin, Salzburger, Andreas +1 · 1 citation
#FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Machine Learning (cs.LG)