Gautam Kunapuli

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	All	Since 2016
Citations	684	409
h-index	14	12
i10-index	18	16

140

105

2007200820092010201120122013201420152016201720182019202020213 19 23 17 37 35 46 35 56 50 48 61 83 140 26

Co-authors

Sriraam NatarajanUniversity of Texas at DallasVerified email at utdallas.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinVerified email at cs.wisc.edu
Kristin P. BennettProfessor of Mathematical Sciences, Renssealer Polytechnic InstituteVerified email at rpi.edu
Jong-Shi PangDaniel J. Epstein Chair Professor of Industrial and Systems EngineeringVerified email at usc.edu
Kristian KerstingProfessor of Artificial Intelligence and Machine Learning, hessian.ai, TU DarmstadtVerified email at cs.tu-darmstadt.de
Richard MaclinProfessor of Computer Science, University of Minnesota DuluthVerified email at d.umn.edu
Devendra Singh DhamiPostDoctoral Researcher, Technische Universität DarmstadtVerified email at tu-darmstadt.de
David PageDirector, Whitehead InstituteVerified email at wi.mit.edu
Priya GanapathyUtopiaCompression CorporationVerified email at utopiacompression.com
Tushar KhotAllen Institute for AI; University of Wisconsin-MadisonVerified email at cs.wisc.edu
John MitchellProf of Mathematical Sciences, RPIVerified email at rpi.edu
Prasad TadepalliProfessor of Computer Science, Oregon State UniversityVerified email at eecs.oregonstate.edu
navdeep kaurVerified email at cgc.edu.in
Trevor WalkerGoogleVerified email at usa.net
Mayukh DasAI/ML Research Scientist, Samsung R&D Institute BangaloreVerified email at samsung.com
Steven CenUniversity of Southern CaliforniaVerified email at usc.edu
Vinay DuddalwarProfessor, Radiology, Urology and Biomedical Engineering University of Southern CaliforniaVerified email at med.usc.edu
Bino VargheseAdvanced Imaging SpecialistVerified email at med.usc.edu
Bhushan DesaiUniversity of Southern CaliforniaVerified email at usc.edu
Kshitij JudahLookout, Inc.Verified email at lookout.com

Gautam Kunapuli

Verisk AI R&D

Verified email at verisk.com - Homepage

AI/ML Non-Convex Optimization Spatio-temporal Learning Human-Allied ML Insurance Analytics


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On the global solution of linear programs with linear complementarity constraints J Hu, JE Mitchell, JS Pang, KP Bennett, G Kunapuli SIAM Journal on Optimization 19 (1), 445-471, 2008	120	2008
Multi-agent inverse reinforcement learning S Natarajan, G Kunapuli, K Judah, P Tadepalli, K Kersting, J Shavlik 2010 Ninth International Conference on Machine Learning and Applications …, 2010	57	2010
Model selection via bilevel optimization KP Bennett, J Hu, X Ji, G Kunapuli, JS Pang The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006	54	2006
Classification model selection via bilevel programming G Kunapuli, KP Bennett, J Hu, JS Pang Optimization Methods & Software 23 (4), 475-489, 2008	48	2008
Mirror descent for metric learning: A unified approach G Kunapuli, J Shavlik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012	45	2012
Bilevel optimization and machine learning KP Bennett, G Kunapuli, J Hu, JS Pang IEEE World Congress on Computational Intelligence, 25-47, 2008	40	2008
Bilevel model selection for support vector machines G Kunapuli, K Bennett, J Hu, JS Pang CRM Proceedings and Lecture Notes 45, 129-158, 2008	40	2008
Guiding autonomous agents to better behaviors through human advice G Kunapuli, P Odom, JW Shavlik, S Natarajan 2013 IEEE 13th international conference on data mining, 409-418, 2013	37	2013
Online knowledge-based support vector machines G Kunapuli, KP Bennett, A Shabbeer, R Maclin, J Shavlik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010	34	2010
Learning from imbalanced data in relational domains: A soft margin approach S Yang, T Khot, K Kersting, G Kunapuli, K Hauser, S Natarajan 2014 IEEE International Conference on Data Mining, 1085-1090, 2014	30	2014
Relational restricted boltzmann machines: A probabilistic logic learning approach N Kaur, G Kunapuli, T Khot, K Kersting, W Cohen, S Natarajan International Conference on Inductive Logic Programming, 94-111, 2017	18	2017
A decision-support tool for renal mass classification G Kunapuli, BA Varghese, P Ganapathy, B Desai, S Cen, M Aron, I Gill, ... Journal of digital imaging 31 (6), 929-939, 2018	16	2018
Classification of burn injury using Raman spectroscopy and optical coherence tomography: An ex-vivo study on porcine skin LP Rangaraju, G Kunapuli, D Every, OD Ayala, P Ganapathy, ... Burns 45 (3), 659-670, 2019	14	2019
Drug‐drug interaction discovery: kernel learning from heterogeneous similarities DS Dhami, G Kunapuli, M Das, D Page, S Natarajan Smart Health 9, 88-100, 2018	14	2018
Structure learning for relational logistic regression: An ensemble approach N Ramanan, G Kunapuli, T Khot, B Fatemi, SM Kazemi, D Poole, ... arXiv preprint arXiv:1808.02123, 2018	11	2018
A bilevel optimization approach to machine learning G Kunapuli Rensselaer Polytechnic Institute, 2008	11	2008
Fast relational probabilistic inference and learning: Approximate counting via hypergraphs M Das, DS Dhami, G Kunapuli, K Kersting, S Natarajan Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7816-7824, 2019	10	2019
Automating the ILP setup task: Converting user advice about specific examples into general background knowledge T Walker, C O’Reilly, G Kunapuli, S Natarajan, R Maclin, D Page, ... International Conference on Inductive Logic Programming, 253-268, 2010	10	2010
Advice refinement in knowledge-based svms G Kunapuli, R Maclin, J Shavlik Advances in neural information processing systems 24, 1728-1736, 2011	8	2011
The adviceptron: Giving advice to the perceptron G Kunapuli, KP Bennett, R Maclin, JW Shavlik Proceedings of the Conference on Artificial Neural Networks In Engineering …, 2010	8	2010

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