papers
Publications (13)
cs.NE2015
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli, Matthew Hoffman, Peter Sadowski +1
physics.ins-det2017
Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning
Peter Sadowski, Balint Radics, Ananya +2
cs.LG2017
Learning in the Machine: Random Backpropagation and the Deep Learning Channel
Pierre Baldi, Peter Sadowski, Zhiqin Lu
stat.ML2016
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks
Evan Racah, Seyoon Ko, Peter Sadowski +5
cs.NE2017
Learning in the Machine: the Symmetries of the Deep Learning Channel
Pierre Baldi, Peter Sadowski, Zhiqin Lu
cs.LG2016
A Theory of Local Learning, the Learning Channel, and the Optimality of Backpropagation
Pierre Baldi, Peter Sadowski
hep-ex2016
Jet Substructure Classification in High-Energy Physics with Deep Neural Networks
Pierre Baldi, Kevin Bauer, Clara Eng +2
hep-ex2016
Parameterized Machine Learning for High-Energy Physics
Pierre Baldi, Kyle Cranmer, Taylor Faucett +2
hep-ph2014
Searching for Exotic Particles in High-Energy Physics with Deep Learning
Pierre Baldi, Peter Sadowski, Daniel Whiteson
hep-ph2014
Enhanced Higgs to $Ï^+Ï^-$ Searches with Deep Learning
Pierre Baldi, Peter Sadowski, Daniel Whiteson
hep-ex2017
Decorrelated Jet Substructure Tagging using Adversarial Neural Networks
Chase Shimmin, Peter Sadowski, Pierre Baldi +4
cs.DC2016
PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures
Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram +8
cs.SC2016
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team, Rami Al-Rfou, Guillaume Alain +110