Enhanced Higgs to $τ^+τ^-$ Searches with Deep Learning

Enhanced Higgs to $τ^+τ^-$ Searches with Deep Learning

13 October 2014

Papers citing "Enhanced Higgs to $τ^+τ^-$ Searches with Deep Learning"

17 / 17 papers shown

Title
Can A Neural Network Hear the Shape of A Drum? Yueqi Zhao M. Fogler 19 1 0 14 Mar 2022
Activation Landscapes as a Topological Summary of Neural Network Performance Matthew Wheeler Jose J. Bouza Peter Bubenik 34 19 0 19 Oct 2021
On tuning deep learning models: a data mining perspective M. Öztürk 13 0 0 19 Nov 2020
A survey on modern trainable activation functions Andrea Apicella Francesco Donnarumma Francesco Isgrò R. Prevete 36 366 0 02 May 2020
Classification of Equation of State in Relativistic Heavy-Ion Collisions Using Deep Learning Yu. Kvasiuk E. Zabrodin L. Bravina I. Didur M. Frolov 11 3 0 29 Apr 2020
Optimization Problems for Machine Learning: A Survey Claudio Gambella Bissan Ghaddar Joe Naoum-Sawaya AI4CE 30 178 0 16 Jan 2019
Energy Flow Networks: Deep Sets for Particle Jets Patrick T. Komiske E. Metodiev Jesse Thaler PINN 3DPC 31 251 0 11 Oct 2018
Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex J. Livezey K. Bouchard E. Chang 8 58 0 26 Mar 2018
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 33 682 0 06 Dec 2017
What is the Machine Learning? Spencer Chang Timothy Cohen B. Ostdiek 22 38 0 28 Sep 2017
Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning Peter Sadowski B. Radics Ananya Y. Yamazaki Pierre Baldi 18 12 0 06 Jun 2017
Stacking machine learning classifiers to identify Higgs bosons at the LHC A. Alves 16 31 0 21 Dec 2016
Deep learning in color: towards automated quark/gluon jet discrimination Patrick T. Komiske E. Metodiev M. Schwartz 38 261 0 05 Dec 2016
Parameterized Machine Learning for High-Energy Physics Pierre Baldi Kyle Cranmer Taylor Faucett Peter Sadowski D. Whiteson AI4CE PINN 26 234 0 28 Jan 2016
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks Evan Racah Seyoon Ko Peter Sadowski W. Bhimji C. Tull Sang-Yun Oh Pierre Baldi P. Prabhat 42 32 0 28 Jan 2016
Learning Activation Functions to Improve Deep Neural Networks Forest Agostinelli Matthew Hoffman Peter Sadowski Pierre Baldi ODL 50 473 0 21 Dec 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012