Peter Sadowski

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Pierre BaldiProfessor, University of California, IrvineDirección de correo verificada de ics.uci.edu
Yannik GlaserGraduate Student, University of Hawaii at MānoaDirección de correo verificada de hawaii.edu
John A ShepherdProfessor Epidemiology, University of Hawaii Cancer CenterDirección de correo verificada de hawaii.edu
Lambert LeongPostdoctoral Research Fellow, University of WashingtonDirección de correo verificada de hawaii.edu
Kyle CranmerUniversity of Wisconsin-MadisonDirección de correo verificada de wisc.edu
Justin E. StopaAssistant Professor, Ocean and Resources Engineering (ORE), SOESTDirección de correo verificada de hawaii.edu
Julian ColladoHiddenLayer Inc.Dirección de correo verificada de uci.edu
Evan RacahMosaicMLDirección de correo verificada de mosaicml.com
Forest AgostinelliAssistant Professor at the University of South CarolinaDirección de correo verificada de cse.sc.edu
Wahid BhimjiLawrence Berkeley National LaboratoryDirección de correo verificada de lbl.gov
Lars HertelLinkedInDirección de correo verificada de linkedin.com
Clara EngUniversity of California, BerkeleyDirección de correo verificada de berkeley.edu
Xudong SunInstitute for Astronomy, University of HawaiiDirección de correo verificada de hawaii.edu
Chase ShimminYale UniversityDirección de correo verificada de yale.edu
Arianna BunnellUniversity of Hawai'i at ManoaDirección de correo verificada de hawaii.edu
Zachary R ClaytorAstronomical Data Scientist, Space Telescope Science InstituteDirección de correo verificada de stsci.edu
Majd GhrearDirección de correo verificada de hawaii.edu
Anthony AmendUniversity of Hawaii at ManoaDirección de correo verificada de hawaii.edu
Nicole A. HynsonUniversity of Hawaii ManoaDirección de correo verificada de hawaii.edu
Michael BiehlUniversity of Groningen, Bernoulli InstituteDirección de correo verificada de rug.nl

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Peter Sadowski

Associate Professor, University of Hawai’i at Mānoa

Dirección de correo verificada de hawaii.edu - Página principal

Machine Learning Deep Learning AI4Science


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Searching for exotic particles in high-energy physics with deep learning P Baldi, P Sadowski, D Whiteson Nature Communications 5, 2014	1603	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	1113*	2016
Understanding dropout P Baldi, P Sadowski Advances in neural information processing systems, 2814-2822, 2013	1039	2013
Learning activation functions to improve deep neural networks F Agostinelli, M Hoffman, P Sadowski, P Baldi arXiv preprint arXiv:1412.6830, 2014	742	2014
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	482*	2016
The dropout learning algorithm P Baldi, P Sadowski Artificial intelligence 210, 78-122, 2014	433	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	299	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	261	2014
Sherpa: Robust hyperparameter optimization for machine learning L Hertel, J Collado, P Sadowski, J Ott, P Baldi SoftwareX 12, 100591, 2020	176*	2020
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	171	2017
Enhanced Higgs Boson to Search with Deep Learning P Baldi, P Sadowski, D Whiteson Physical review letters 114 (11), 111801, 2015	138	2015
Learning in the machine: Random backpropagation and the deep learning channel P Baldi, P Sadowski, Z Lu Artificial intelligence 260, 1-35, 2018	96	2018
A theory of local learning, the learning channel, and the optimality of backpropagation P Baldi, P Sadowski Neural Networks 83, 51-74, 2016	96	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	81	2016
Deep learning for predicting significant wave height from synthetic aperture radar B Quach, Y Glaser, JE Stopa, AA Mouche, P Sadowski IEEE Transactions on Geoscience and Remote Sensing 59 (3), 1859-1867, 2020	58	2020
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	55	2015
Theano: A Python framework for fast computation of mathematical expressions. arXiv R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688 10, 2016	52	2016
Notes on backpropagation P Sadowski homepage: https://www. ics. uci. edu/pjsadows/notes. pdf (online), 2016	52	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	44	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	44	2016

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