Malaescu, Bogdan

1. An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training
   2022/12/16 by Backes, Mathias, Butter, Anja, Dunford, Monica +1 · 12 citations
   #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) #Statistics and Probability (physics.data-an)
2. Uncertainty components in profile likelihood fits
   2023/07/08 by Andrés Pinto, Zhibo Wu, Pinto, Andrés +13 · 5 citations
   Physics and Astronomy · #Nuclear Physics and Applications #Particle Detector Development and Performance #Radioactive Decay and Measurement Techniques
3. Event-by-event Comparison between Machine-Learning- and Transfer-Matrix-based Unfolding Methods
   2023/10/25 by Mathias Backes, Anja Butter, Backes, Mathias +5 · 2 citations
   Computer Science · #Age of Information Optimization #Data Analysis #Distributed Sensor Networks and Detection Algorithms #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Statistics and Probability (physics.data-an)