Murat Kocaoglu

Citado por

	Total	Desde 2016
Citas	400	335
Índice h	12	11
Índice i10	12	11

140

105

20122013201420152016201720182019202020211 11 17 33 27 42 51 87 122 2

Coautores

Alexandros G DimakisProfessor, ECE University of Texas at AustinDirección de correo verificada de austin.utexas.edu
Karthikeyan ShanmugamResearch Staff Member, IBM ResearchDirección de correo verificada de ibm.com
Ozgur B. AkanUniversity of Cambridge, UK, and Koç University, TurkeyDirección de correo verificada de cam.ac.uk
Derya MalakRensselaer Polytechnic InstituteDirección de correo verificada de rpi.edu
Elias BareinboimColumbia UniversityDirección de correo verificada de columbia.edu
Rajat SenGoogleDirección de correo verificada de utexas.edu
Adam KlivansProfessor of Computer Science, University of Texas at AustinDirección de correo verificada de cs.utexas.edu
Babak HassibiMose and Lilian S. Bohn Professor of Electrical EngineeringDirección de correo verificada de caltech.edu
Amin JaberPhD Student, Purdue UniversityDirección de correo verificada de purdue.edu
Kristjan GreenewaldResearch Staff Member, IBM Research AIDirección de correo verificada de ibm.com
Erik M LindgrenGraduate Student at University of Texas at AustinDirección de correo verificada de utexas.edu
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinDirección de correo verificada de utexas.edu
Sara MagliacaneMIT-IBM Watson AI LabDirección de correo verificada de uva.nl
Hamideh RamezaniResearch Assistant, University of CambridgeDirección de correo verificada de cam.ac.uk
Enric Boix-AdseràPhD Student in EECS, MITDirección de correo verificada de mit.edu
Guy BreslerMITDirección de correo verificada de mit.edu
Sujay SanghaviAssociate Professor, Electrical and Computer Engineering, WNCG, University of Texas, AustinDirección de correo verificada de mail.utexas.edu
Chandler SquiresPhD Student, MITDirección de correo verificada de mit.edu
Sriram VishwanathUniversity of Texas

Murat Kocaoglu

Purdue University

Dirección de correo verificada de purdue.edu - Página principal

Causal Inference Machine Learning Information Theory


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Causalgan: Learning causal implicit generative models with adversarial training M Kocaoglu, C Snyder, AG Dimakis, S Vishwanath arXiv preprint arXiv:1709.02023, 2017	68	2017
Learning causal graphs with small interventions K Shanmugam, M Kocaoglu, AG Dimakis, S Vishwanath Advances in Neural Information Processing Systems 28, 3195-3203, 2015	47	2015
Minimum energy channel codes for nanoscale wireless communications M Kocaoglu, OB Akan IEEE Transactions on Wireless Communications 12 (4), 1492-1500, 2013	42	2013
Experimental design for learning causal graphs with latent variables M Kocaoglu, K Shanmugam, E Bareinboim Advances in Neural Information Processing Systems, 7018-7028, 2017	29	2017
Cost-optimal learning of causal graphs M Kocaoglu, AG Dimakis, S Vishwanath arXiv preprint arXiv:1703.02645, 2017	27	2017
Contextual bandits with latent confounders: An nmf approach R Sen, K Shanmugam, M Kocaoglu, A Dimakis, S Shakkottai Artificial Intelligence and Statistics, 518-527, 2017	26*	2017
Entropic causal inference M Kocaoglu, A Dimakis, S Vishwanath, B Hassibi Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	25	2017
Fundamentals of green communications and computing: Modeling and simulation M Kocaoglu, D Malak, OB Akan Computer 45 (9), 40-46, 2012	25	2012
Communication theoretic analysis of the synaptic channel for cortical neurons D Malak, M Kocaoglu, OB Akan Nano Communication Networks 4 (3), 131-141, 2013	22	2013
Minimum energy coding for wireless nanosensor networks M Kocaoglu, OB Akan 2012 Proceedings IEEE INFOCOM, 2826-2830, 2012	21	2012
Sparse polynomial learning and graph sketching M Kocaoglu, K Shanmugam, AG Dimakis, A Klivans Advances in Neural Information Processing Systems 27, 3122-3130, 2014	17*	2014
Characterization and learning of causal graphs with latent variables from soft interventions M Kocaoglu, A Jaber, K Shanmugam, E Bareinboim Advances in Neural Information Processing Systems, 14369-14379, 2019	12	2019
Experimental design for cost-aware learning of causal graphs E Lindgren, M Kocaoglu, AG Dimakis, S Vishwanath Advances in Neural Information Processing Systems, 5279-5289, 2018	9	2018
Entropic causality and greedy minimum entropy coupling M Kocaoglu, AG Dimakis, S Vishwanath, B Hassibi 2017 IEEE International Symposium on Information Theory (ISIT), 1465-1469, 2017	6	2017
Stochastic resonance in graphene bilayer optical nanoreceivers M Kocaoglu, B Gulbahar, OB Akan IEEE Transactions on Nanotechnology 13 (6), 1107-1117, 2014	6	2014
On the node density limits and rate-delay-energy tradeoffs in ad hoc nanonetworks with minimum energy coding M Kocaoglu, D Malak 2012 IEEE International Conference on Communications (ICC), 6157-6161, 2012	6	2012
Sample efficient active learning of causal trees K Greenewald, D Katz, K Shanmugam, S Magliacane, M Kocaoglu, ... Advances in Neural Information Processing Systems, 14302-14312, 2019	3	2019
Entropic latent variable discovery M Kocaoglu, S Shakkottai, AG Dimakis, C Caramanis, S Vishwanath arXiv preprint arXiv:1807.10399, 2018	3	2018
Diversity in diffusion-based molecular communication channel with drift D Malak, H Ramezani, M Kocaoglu, OB Akan 2016 IEEE International Conference on Communications (ICC), 1-6, 2016	3	2016
Learning causal graphs with constraints M Kocaoglu, AG Dimakis, S Vishwanath WhatIf Workshop, NIPS 2016, 2016	2	2016

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Subir PDF

Seguir a este autor

Citado por

Coautores