Peter Sadowski

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Pierre BaldiProfessor, University of California, IrvineVerified email at ics.uci.edu
Yannik GlaserGraduate Student, University of Hawaii at MānoaVerified email at hawaii.edu
Evan RacahMosaicMLVerified email at mosaicml.com
Wahid BhimjiLawrence Berkeley National LaboratoryVerified email at lbl.gov
Kyle CranmerUniversity of Wisconsin-MadisonVerified email at wisc.edu
Julian ColladoBlackberry-CylanceVerified email at uci.edu
Forest AgostinelliAssistant Professor at the University of South CarolinaVerified email at cse.sc.edu
Lars HertelLinkedInVerified email at linkedin.com
Clara EngUniversity of California, BerkeleyVerified email at berkeley.edu
John A ShepherdProfessor Epidemiology, University of Hawaii Cancer CenterVerified email at hawaii.edu
Chase ShimminYale UniversityVerified email at yale.edu
Lambert LeongGraduate Researcher, University of Hawaii Cancer CenterVerified email at hawaii.edu
Xudong SunInstitute for Astronomy, University of HawaiiVerified email at hawaii.edu
Zachary R ClaytorPhD Candidate, University of HawaiiVerified email at hawaii.edu
Michael BiehlUniversity of Groningen, Bernoulli InstituteVerified email at rug.nl
Giuseppe TorriAssistant Professor, University of Hawai'i at MānoaVerified email at hawaii.edu
Anthony AmendUniversity of Hawaii at ManoaVerified email at hawaii.edu
Nicole A. HynsonUniversity of Hawaii ManoaVerified email at hawaii.edu
Maya GuptaUniv. Washington

Peter Sadowski

Assistant Professor, University of Hawai’i at Mānoa

Verified email at hawaii.edu - Homepage

Machine Learning Deep Learning Bioinformatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Searching for exotic particles in high-energy physics with deep learning P Baldi, P Sadowski, D Whiteson Nature Communications 5, 2014	1322	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	1041*	2016
Understanding dropout P Baldi, P Sadowski Advances in neural information processing systems, 2814-2822, 2013	699	2013
Learning activation functions to improve deep neural networks F Agostinelli, M Hoffman, P Sadowski, P Baldi arXiv preprint arXiv:1412.6830, 2014	590	2014
The dropout learning algorithm P Baldi, P Sadowski Artificial intelligence 210, 78-122, 2014	332	2014
Parameterized neural networks for high-energy physics P Baldi, K Cranmer, T Faucett, P Sadowski, D Whiteson The European Physical Journal C 76, 1-7, 2016	309*	2016
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	259	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	237	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	143	2017
Enhanced Higgs Boson to Search with Deep Learning P Baldi, P Sadowski, D Whiteson Physical review letters 114 (11), 111801, 2015	129	2015
Sherpa: Robust hyperparameter optimization for machine learning L Hertel, J Collado, P Sadowski, J Ott, P Baldi SoftwareX 12, 100591, 2020	123*	2020
A theory of local learning, the learning channel, and the optimality of backpropagation P Baldi, P Sadowski Neural Networks 83, 51-74, 2016	83	2016
Learning in the machine: Random backpropagation and the deep learning channel P Baldi, P Sadowski, Z Lu Artificial intelligence 260, 1-35, 2018	76	2018
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	68	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	47	2015
Notes on backpropagation P Sadowski Department of Computer ScienceUniversity of California Irvine, 2016	46	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	42	2016
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	36	2016
Learning in the machine: the symmetries of the deep learning channel P Baldi, P Sadowski, Z Lu Neural Networks 95, 110-133, 2017	29	2017
Small-molecule 3D structure prediction using open crystallography data P Sadowski, P Baldi Journal of chemical information and modeling 53 (12), 3127-3130, 2013	28	2013

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