Learning to Classify from Impure Samples with High-Dimensional Data

30 January 2018

Papers citing "Learning to Classify from Impure Samples with High-Dimensional Data"

11 / 11 papers shown

Title
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 49 113 0 07 Dec 2021
Challenges for Unsupervised Anomaly Detection in Particle Physics Katherine Fraser S. Homiller Rashmish K. Mishra B. Ostdiek M. Schwartz DRL 34 43 0 13 Oct 2021
Autoencoders for unsupervised anomaly detection in high energy physics Thorben Finke Michael Krämer A. Morandini A. Mück I. Oleksiyuk 31 83 0 19 Apr 2021
Machine learning on small size samples: A synthetic knowledge synthesis P. Kokol Marko Kokol S. Zagoranski 30 168 0 01 Mar 2021
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 39 178 0 02 Feb 2021
Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review T. Dorigo P. D. Castro 29 14 0 17 Jul 2020
ParticleNet: Jet Tagging via Particle Clouds H. Qu L. Gouskos 3DPC MU 30 229 0 22 Feb 2019
Energy Flow Networks: Deep Sets for Particle Jets Patrick T. Komiske E. Metodiev Jesse Thaler PINN 3DPC 45 251 0 11 Oct 2018
INFERNO: Inference-Aware Neural Optimisation P. D. Castro T. Dorigo 24 47 0 12 Jun 2018
Infrared Safety of a Neural-Net Top Tagging Algorithm Suyong Choi Seung J. Lee M. Perelstein 16 39 0 04 Jun 2018
QCD-Aware Recursive Neural Networks for Jet Physics Gilles Louppe Kyunghyun Cho C. Becot Kyle Cranmer BDL 24 189 0 02 Feb 2017