A review on machine learning for neutrino experiments

DUNE as the Next-Generation Solar Neutrino Experiment

(2019) Francesco Capozzi et al.   PHYSICAL REVIEW LETTERS

The Short-Baseline Neutrino Program at Fermilab

(2019) Pedro A.N. Machado et al.   Annual Review of Nuclear and Particle Science

Search for Neutrinoless Double- β Decay with the Complete EXO-200 Dataset

(2019) G. Anton et al.   PHYSICAL REVIEW LETTERS

Suppression of cosmic muon spallation backgrounds in liquid scintillator detectors using convolutional neural networks

(2019) A. Li et al.   NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

Deep neural networks for energy and position reconstruction in EXO-200

(2018) S. Delaquis et al.   Journal of Instrumentation

Reducing model bias in a deep learning classifier using domain adversarial neural networks in the MINERvA experiment

(2018) G.N. Perdue et al.   Journal of Instrumentation

Background rejection in NEXT using deep neural networks

(2017) J. Renner et al.   Journal of Instrumentation

Constraints on Oscillation Parameters from νe Appearance and νμ Disappearance in NOvA

(2017) P. Adamson et al.   PHYSICAL REVIEW LETTERS

A convolutional neural network neutrino event classifier

(2016) A. Aurisano et al.   Journal of Instrumentation

An overview of the Daya Bay reactor neutrino experiment

(2016) Jun Cao et al.   NUCLEAR PHYSICS B

Search for Majorana Neutrinos Near the Inverted Mass Hierarchy Region with KamLAND-Zen

(2016) A. Gando et al.   PHYSICAL REVIEW LETTERS

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS