Balakrishnan Narayanaswamy

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Charles ElkanProfessor of Computer Science, University of California, San DiegoVerified email at ucsd.edu
Rashmi GangadharaiahPrincipal Machine Learning Scientist, AmazonVerified email at amazon.com
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeVerified email at cmu.edu
Bharathan BalajiSenior Applied Scientist, AmazonVerified email at amazon.com
Yuvraj AgarwalAssociate Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jagabondhu HazraIBM ResearchVerified email at in.ibm.com
Ruofeng WenAmazonVerified email at amazon.com
Dhruv MadekaGoogleVerified email at bu.edu
Kari TorkkolaSenior Principal Research Scientist, Amazon.comVerified email at amazon.com
Rajesh K. GuptaProfessor of Computer Science and Engineering, Halıcıoğlu Data Science Institute, UC San DiegoVerified email at ucsd.edu
Rohit NegiProfessor of ECE, Carnegie Mellon UniversityVerified email at ece.cmu.edu
y. narahariProfessor of Computer Science, Indian Institute of Science, BangaloreVerified email at iisc.ac.in
T.S. JayramLawrence Livermore National LaboratoryVerified email at llnl.gov
Deva P. SeetharamKailash Advisory ServicesVerified email at media.mit.edu
pradeep k. khoslaChancellor, UC San DiegoVerified email at ucsd.edu
Vikas GargMassachusetts Institute of Technology (MIT)Verified email at mit.edu
Saiful A HusainSenior Assistant Professor, Universiti Brunei DarussalamVerified email at ubd.edu.bn
Yifei MaApplied Scientist, Amazon.ComVerified email at amazon.com
Kaushik DasAssociate Professor, Technical University of DenmarkVerified email at dtu.dk
B. V. K. Vijaya KumarU.A. & Helen Whitaker Professor of ECEVerified email at ece.cmu.edu

Balakrishnan Narayanaswamy

Principal ML Scientist, AWS AI, Amazon

Verified email at amazon.com - Homepage

Artificial intelligence energy machine learning information theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Optimal thresholding of classifiers to maximize F1 measure ZC Lipton, C Elkan, B Naryanaswamy Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014	693	2014
A multi-horizon quantile recurrent forecaster R Wen, K Torkkola, B Narayanaswamy, D Madeka arXiv preprint arXiv:1711.11053, 2017	468	2017
Joint multiple intent detection and slot labeling for goal-oriented dialog R Gangadharaiah	112	2019
Data driven investigation of faults in HVAC systems with model, cluster and compare (MCC) B Narayanaswamy, B Balaji, R Gupta, Y Agarwal Proceedings of the 1st ACM conference on embedded systems for energy …, 2014	103	2014
Zodiac: Organizing large deployment of sensors to create reusable applications for buildings B Balaji, C Verma, B Narayanaswamy, Y Agarwal Proceedings of the 2nd ACM international conference on embedded systems for …, 2015	77	2015
A multiarmed bandit incentive mechanism for crowdsourcing demand response in smart grids S Jain, B Narayanaswamy, Y Narahari Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014	77	2014
Temporal-contextual recommendation in real-time Y Ma, B Narayanaswamy, H Lin, H Ding Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020	68	2020
Online optimization for the smart (micro) grid B Narayanaswamy, VK Garg, TS Jayram Proceedings of the 3rd international conference on future energy systems …, 2012	66	2012
Task-oriented dialog systems utilizing combined supervised and reinforcement learning R Gangadharaiah, B Narayanaswamy, C Elkan US Patent 10,860,629, 2020	62	2020
Orl: Reinforcement learning benchmarks for online stochastic optimization problems B Balaji, J Bell-Masterson, E Bilgin, A Damianou, PM Garcia, A Jain, ... arXiv preprint arXiv:1911.10641, 2019	45	2019
Learning to be energy-wise: Discriminative methods for load disaggregation D Rahayu, B Narayanaswamy, S Krishnaswamy, C Labbé, DP Seetharam Proceedings of the 3rd International Conference on Future Energy Systems …, 2012	35	2012
A novel method for two-speaker segmentation. R Gangadharaiah, B Narayanaswamy, N Balakrishnan INTERSPEECH, 2337-2340, 2004	33	2004
Imitation-regularized offline learning Y Ma, YX Wang, B Narayanaswamy The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	26	2019
Estimating the wake losses in large wind farms: A machine learning approach F Japar, S Mathew, B Narayanaswamy, CM Lim, J Hazra ISGT 2014, 1-5, 2014	24	2014
A multi-horizon quantile recurrent forecaster. arXiv 2017 R Wen, K Torkkola, B Narayanaswamy, D Madeka arXiv preprint arXiv:1711.11053, 0	24
Graphical model approach to iris matching under deformation and occlusion R Kerekes, B Narayanaswamy, J Thornton, M Savvides, BVKV Kumar 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2007	22	2007
Thresholding classifiers to maximize F1 score. arXiv 2014 ZC Lipton, C Elkan, B Narayanaswamy arXiv preprint arXiv:1402.1892, 0	21
Buildingsherlock: Fault management framework for hvac systems in commercial buildings H Teraoka, B Balaji, R Zhang, A Nwokafor, B Narayanaswamy, Y Agarwal	20	2014
Auto-WLM: Machine learning enhanced workload management in Amazon Redshift G Saxena, M Rahman, N Chainani, C Lin, G Caragea, F Chowdhury, ... Companion of the 2023 International Conference on Management of Data, 225-237, 2023	16	2023
Non-technical loss detection and localization V Arya, K Das, J Hazra, S Kalyanaraman, B Narayanaswamy, ... US Patent 9,536,198, 2017	16	2017

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