Peter Sadowski

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Pierre BaldiProfessor, University of California, IrvineE-mail confirmado em ics.uci.edu
Yannik GlaserGraduate Student, University of Hawaii at MānoaE-mail confirmado em hawaii.edu
John A ShepherdProfessor Epidemiology, University of Hawaii Cancer CenterE-mail confirmado em hawaii.edu
Lambert LeongPostdoctoral Research Fellow, University of WashingtonE-mail confirmado em hawaii.edu
Kyle CranmerUniversity of Wisconsin-MadisonE-mail confirmado em wisc.edu
Justin E. StopaAssistant Professor, Ocean and Resources Engineering (ORE), SOESTE-mail confirmado em hawaii.edu
Julian ColladoHiddenLayer Inc.E-mail confirmado em uci.edu
Evan RacahMosaicMLE-mail confirmado em mosaicml.com
Forest AgostinelliAssistant Professor at the University of South CarolinaE-mail confirmado em cse.sc.edu
Wahid BhimjiLawrence Berkeley National LaboratoryE-mail confirmado em lbl.gov
Lars HertelLinkedInE-mail confirmado em linkedin.com
Clara EngUniversity of California, BerkeleyE-mail confirmado em berkeley.edu
Xudong SunInstitute for Astronomy, University of HawaiiE-mail confirmado em hawaii.edu
Chase ShimminYale UniversityE-mail confirmado em yale.edu
Arianna BunnellUniversity of Hawai'i at ManoaE-mail confirmado em hawaii.edu
Zachary R ClaytorAstronomical Data Scientist, Space Telescope Science InstituteE-mail confirmado em stsci.edu
Majd GhrearE-mail confirmado em hawaii.edu
Anthony AmendUniversity of Hawaii at ManoaE-mail confirmado em hawaii.edu
Nicole A. HynsonUniversity of Hawaii ManoaE-mail confirmado em hawaii.edu
Michael BiehlUniversity of Groningen, Bernoulli InstituteE-mail confirmado em rug.nl

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Peter Sadowski

Associate Professor, University of Hawai’i at Mānoa

E-mail confirmado em hawaii.edu - Página inicial

Machine Learning Deep Learning AI4Science


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Searching for exotic particles in high-energy physics with deep learning P Baldi, P Sadowski, D Whiteson Nature Communications 5, 2014	1605	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	1140*	2016
Understanding dropout P Baldi, P Sadowski Advances in neural information processing systems, 2814-2822, 2013	1048	2013
Learning activation functions to improve deep neural networks F Agostinelli, M Hoffman, P Sadowski, P Baldi arXiv preprint arXiv:1412.6830, 2014	744	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	472*	2016
The dropout learning algorithm P Baldi, P Sadowski Artificial intelligence 210, 78-122, 2014	435	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	296	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	256	2014
Sherpa: Robust hyperparameter optimization for machine learning L Hertel, J Collado, P Sadowski, J Ott, P Baldi SoftwareX 12, 100591, 2020	175*	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	170	2017
Enhanced Higgs Boson to Search with Deep Learning P Baldi, P Sadowski, D Whiteson Physical review letters 114 (11), 111801, 2015	136	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	94	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	82	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	61	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	54	2015
Notes on backpropagation P Sadowski homepage: https://www. ics. uci. edu/pjsadows/notes. pdf (online), 2016	47	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
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	43	2016
Recovery of TESS Stellar Rotation Periods Using Deep Learning ZR Claytor, JL van Saders, J Llama, P Sadowski, B Quach, EA Avallone The Astrophysical Journal 927 (2), 219, 2022	41	2022

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