(Machine) Learning to Do More with Less

28 June 2017

Papers citing "(Machine) Learning to Do More with Less"

12 / 12 papers shown

Title
A Triumvirate of AI Driven Theoretical Discovery Yang-Hui He AI4CE 53 4 0 30 May 2024
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
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 23 14 0 17 Jul 2020
Machine learning Calabi-Yau metrics A. Ashmore Yang-Hui He B. Ovrut 13 81 0 18 Oct 2019
Interpretable Deep Learning for Two-Prong Jet Classification with Jet Spectra A. Chakraborty Sung Hak Lim M. Nojiri 42 43 0 03 Apr 2019
Energy Flow Networks: Deep Sets for Particle Jets Patrick T. Komiske E. Metodiev Jesse Thaler PINN 3DPC 42 251 0 11 Oct 2018
INFERNO: Inference-Aware Neural Optimisation P. D. Castro T. Dorigo 24 47 0 12 Jun 2018
Opening the black box of neural nets: case studies in stop/top discrimination Thomas Roxlo M. Reece 21 22 0 24 Apr 2018
On the Topic of Jets: Disentangling Quarks and Gluons at Colliders E. Metodiev Jesse Thaler 28 71 0 31 Jan 2018