Peter Sadowski
Peter Sadowski
Verified email at hawaii.edu - Homepage
TitleCited byYear
Searching for exotic particles in high-energy physics with deep learning
P Baldi, P Sadowski, D Whiteson
Nature Communications 5, 2014
5632014
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
5522016
Understanding dropout
P Baldi, P Sadowski
Advances in neural information processing systems, 2814-2822, 2013
2022013
Learning activation functions to improve deep neural networks
F Agostinelli, M Hoffman, P Sadowski, P Baldi
arXiv preprint arXiv:1412.6830, 2014
1962014
The dropout learning algorithm
P Baldi, P Sadowski
Artificial intelligence 210, 78-122, 2014
1532014
Deep autoencoder neural networks for gene ontology annotation predictions
D Chicco, P Sadowski, P Baldi
Proceedings of the 5th ACM conference on bioinformatics, computational …, 2014
1192014
Jet substructure classification in high-energy physics with deep neural networks
P Baldi, K Bauer, C Eng, P Sadowski, D Whiteson
Physical Review D 93 (9), 094034, 2016
1182016
Parameterized neural networks for high-energy physics
P Baldi, K Cranmer, T Faucett, P Sadowski, D Whiteson
The European Physical Journal C 76 (5), 235, 2016
80*2016
Enhanced Higgs Boson to Search with Deep Learning
P Baldi, P Sadowski, D Whiteson
Physical review letters 114 (11), 111801, 2015
742015
Decorrelated jet substructure tagging using adversarial neural networks
C Shimmin, P Sadowski, P Baldi, E Weik, D Whiteson, E Goul, A Søgaard
Physical Review D 96 (7), 074034, 2017
692017
A theory of local learning, the learning channel, and the optimality of backpropagation
P Baldi, P Sadowski
Neural Networks 83, 51-74, 2016
37*2016
Synergies between quantum mechanics and machine learning in reaction prediction
P Sadowski, D Fooshee, N Subrahmanya, P Baldi
Journal of chemical information and modeling 56 (11), 2125-2128, 2016
292016
Learning in the machine: random backpropagation and the deep learning channel
P Baldi, P Sadowski, Z Lu
Artificial intelligence 260, 1-35, 2018
272018
Revealing fundamental physics from the Daya Bay Neutrino Experiment using deep neural networks
E Racah, S Ko, P Sadowski, W Bhimji, C Tull, SY Oh, P Baldi
2016 15th IEEE International Conference on Machine Learning and Applications …, 2016
222016
Notes on backpropagation
P Sadowski
homepage: https://www. ics. uci. edu/pjsadows/notes. pdf (online), 2016
222016
Deep learning, dark knowledge, and dark matter
P Sadowski, J Collado, D Whiteson, P Baldi
NIPS 2014 Workshop on High-energy Physics and Machine Learning, 81-87, 2015
222015
Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints, abs/1605.02688
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
URL http://arxiv. org/abs/1605.02688, 2016
182016
Small-molecule 3D structure prediction using open crystallography data
P Sadowski, P Baldi
Journal of chemical information and modeling 53 (12), 3127-3130, 2013
182013
Searching for higgs boson decay modes with deep learning
P Sadowski, D Whiteson, P Baldi
Advances in Neural Information Processing Systems, 2393-2401, 2014
172014
Learning in the machine: the symmetries of the deep learning channel
P Baldi, P Sadowski, Z Lu
Neural Networks 95, 110-133, 2017
132017
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