M. Kagan

1. C³: A "Cool" Route to the Higgs Boson and Beyond
   2021/10/27 by Mei Bai, M. Bai, Tim Barklow +61 · 1 voice · 1 citation
   Engineering · Physics and Astronomy · #Particle Accelerators and Free-Electron Lasers #Particle Detector Development and Performance #Particle physics theoretical and experimental studies #hep-ex #hep-ph #physics.acc-ph
2. New Horizons: Scalar and Vector Ultralight Dark Matter
   2022/03/28 by D. Antypas, Abhishek Banerjee, Antypas, D. +219 · 15 citations
   Physics and Astronomy · #Atomic and Subatomic Physics Research #Cold Atom Physics and Bose-Einstein Condensates #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #Dark Matter and Cosmic Phenomena #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Quantum Physics (quant-ph)
3. Machine Learning in High Energy Physics Community White Paper
   2018/07/08 by Kim Albertsson, Piero Altoè, Albertsson, Kim +224 · 9 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
4. 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)
5. Continual Learning via Neural Pruning
   2019/03/11 by Siavash Golkar, M. Kagan, Golkar, Siavash +3 · 7 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Adversarial Robustness in Machine Learning
6. Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference
   2020/11/11 by Maxime Vandegar, Vandegar, Maxime, M. Kagan +5 · 5 citations
   Computer Science · Engineering · Physics and Astronomy · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Nuclear reactor physics and engineering #Statistics and Probability (physics.data-an)
7. Strategy for Understanding the Higgs Physics: The Cool Copper Collider
   2022/03/15 by Sridhara Dasu, Dasu, Sridhara, Emilio A. Nanni +39 · 4 citations
   Physics and Astronomy · Social Sciences · Engineering · #Particle physics theoretical and experimental studies #International Science and Diplomacy #Particle Accelerators and Free-Electron Lasers
8. Future Circular Collider Feasibility Study Report: Volume 3, Civil Engineering, Implementation and Sustainability
   2025/04/25 by M. Benedikt, F. Zimmermann, B. Auchmann +1461 · 2 voices · 8 citations
   #physics.acc-ph #hep-ex #hep-ph
9. Image-Based Jet Analysis
   2020/12/17 by M. Kagan, Kagan, Michael · 2 citations
   Computer Science · Engineering · #Aerodynamics and Acoustics in Jet Flows #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics and Turbulent Flows #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)