Peter Sadowski
Peter Sadowski
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Cited by
Cited by
Searching for exotic particles in high-energy physics with deep learning
P Baldi, P Sadowski, D Whiteson
Nature Communications 5, 2014
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv e-prints, arXiv: 1605.02688, 2016
Understanding dropout
P Baldi, P Sadowski
Advances in neural information processing systems, 2814-2822, 2013
Learning activation functions to improve deep neural networks
F Agostinelli, M Hoffman, P Sadowski, P Baldi
arXiv preprint arXiv:1412.6830, 2014
The dropout learning algorithm
P Baldi, P Sadowski
Artificial intelligence 210, 78-122, 2014
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
Parameterized neural networks for high-energy physics
P Baldi, K Cranmer, T Faucett, P Sadowski, D Whiteson
The European Physical Journal C 76 (5), 1-7, 2016
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
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
Enhanced Higgs Boson to Search with Deep Learning
P Baldi, P Sadowski, D Whiteson
Physical review letters 114 (11), 111801, 2015
A theory of local learning, the learning channel, and the optimality of backpropagation
P Baldi, P Sadowski
Neural Networks 83, 51-74, 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
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
Notes on backpropagation
P Sadowski
Department of Computer ScienceUniversity of California Irvine, 2016
Sherpa: Robust hyperparameter optimization for machine learning
L Hertel, J Collado, P Sadowski, J Ott, P Baldi
SoftwareX 12, 100591, 2020
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
Panda: Extreme scale parallel k-nearest neighbor on distributed architectures
MMA Patwary, NR Satish, N Sundaram, J Liu, P Sadowski, E Racah, ...
2016 IEEE international parallel and distributed processing symposium (IPDPS …, 2016
Learning in the machine: random backpropagation and the deep learning channel
P Baldi, P Sadowski, Z Lu
Artificial intelligence 260, 1-35, 2018
Small-molecule 3D structure prediction using open crystallography data
P Sadowski, P Baldi
Journal of chemical information and modeling 53 (12), 3127-3130, 2013
Searching for higgs boson decay modes with deep learning
P Sadowski, D Whiteson, P Baldi
Advances in Neural Information Processing Systems, 2393-2401, 2014
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