Krämer, Michael

1. Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models
   2025/01/09 by Kristian G. Barman, Kristian González Barman, S. Caron +47 · 2 voices · 9 citations
   Computer Science · Decision Sciences · #Scientific Computing and Data Management #Topic Modeling #cs.AI #hep-ph #physics.comp-ph #physics.data-an #physics.hist-ph
2. A Normalized Autoencoder for LHC Triggers
   2022/06/28 by Dillon, Barry M., Favaro, Luigi, Plehn, Tilman +2 · 6 citations
   #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph)
3. Higher-order QCD predictions for dark matter production at the LHC in\n simplified models with s-channel mediators
   2015/08/21 by Mihailo Backović, M. Krämer, Backović, Mihailo +9 · 2 citations
   Physics and Astronomy · #Dark Matter and Cosmic Phenomena #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Particle Detector Development and Performance #Particle physics theoretical and experimental studies
4. Aspen Open Jets: Unlocking LHC Data for Foundation Models in Particle Physics
   2024/12/13 by Oz Amram, Luca Anzalone, Amram, Oz +17 · 1 voice · 7 citations
   #hep-ph #cs.LG #hep-ex #stat.ML
5. Critical feature learning in deep neural networks
   2024/05/17 by Kirsten Fischer, Javed Lindner, Fischer, Kirsten +9 · 5 citations
   Computer Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Neural Networks and Applications
6. Constrained Supersymmetry after the Higgs Boson Discovery: A global\n analysis with Fittino
   2013/10/11 by P. Bechtle, Bechtle, Philip, K. Desch +22 · 2 citations
   Physics and Astronomy · #Cosmology and Gravitation Theories #Dark Matter and Cosmic Phenomena #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Particle physics theoretical and experimental studies
7. Bottom-quark associated Higgs-boson production: reconciling the four- and five-flavour scheme approach
   2011/12/15 by Harlander, Robert, Krämer, Michael, Schumacher, Markus · 1 citation
   #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph)
8. How alive is constrained SUSY really?
   2014/10/22 by Bechtle, Philip, Desch, Klaus, Dreiner, Herbert K. +8 · 1 citation
   #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph)
9. The Fundamental Limit of Jet Tagging
   2024/11/04 by Geuskens, Joep, Gite, Nishank, Krämer, Michael +4 · 3 citations
   #Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Statistics and Probability (physics.data-an)
10. From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
    2025/02/05 by Noa Rubin, Rubin, Noa, Kirsten Fischer +13 · 3 citations
    Computer Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
11. A theory of data variability in Neural Network Bayesian inference
    2023/07/31 by Lindner, Javed, Dahmen, David, Krämer, Michael +1 · 1 citation
    #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)