This project contains python code to replicate the results in the following publication:
Baldi, P., P. Sadowski, and D. Whiteson. “Searching for Exotic Particles in High-energy Physics with Deep Learning.” Nature Communications 5 (July 2, 2014).
Warning: Pylearn2 is no longer being developed. For more active deep learning software frameworks, check out Keras, Tensorflow, etc.
Note: Due to an old bug in the Pylearn2 termination_criteria module, the deep models were trained for ~1000 epochs. The models here may terminate training after only ~200 epochs, in which case the termination criteria should be changed to train for the full 1000 epochs to get the same results in the paper.
Additional Requirements:
- The HIGGS and SUSY datasets available from the UCI ML Repository
http://archive.ics.uci.edu/ml/datasets/HIGGS
http://archive.ics.uci.edu/ml/datasets/SUSY
- Pylearn2 and Theano