Follow
Karthikeyan Shanmugam
Title
Cited by
Cited by
Year
Femtocaching: Wireless content delivery through distributed caching helpers
K Shanmugam, N Golrezaei, AG Dimakis, AF Molisch, G Caire
IEEE Transactions on Information Theory 59 (12), 8402-8413, 2013
21322013
Explanations based on the missing: Towards contrastive explanations with pertinent negatives
A Dhurandhar, PY Chen, R Luss, CC Tu, P Ting, K Shanmugam, P Das
Advances in neural information processing systems 31, 2018
4322018
One explanation does not fit all: A toolkit and taxonomy of ai explainability techniques
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
arXiv preprint arXiv:1909.03012, 2019
2612019
Finite-length analysis of caching-aided coded multicasting
K Shanmugam, M Ji, AM Tulino, J Llorca, AG Dimakis
IEEE Transactions on Information Theory 62 (10), 5524-5537, 2016
1942016
Invariant risk minimization games
K Ahuja, K Shanmugam, K Varshney, A Dhurandhar
International Conference on Machine Learning, 145-155, 2020
1612020
Coded caching with linear subpacketization is possible using Ruzsa-Szeméredi graphs
K Shanmugam, AM Tulino, AG Dimakis
2017 IEEE International Symposium on Information Theory (ISIT), 1237-1241, 2017
1102017
Local graph coloring and index coding
K Shanmugam, AG Dimakis, M Langberg
2013 IEEE International Symposium on Information Theory, 1152-1156, 2013
1052013
Learning causal graphs with small interventions
K Shanmugam, M Kocaoglu, AG Dimakis, S Vishwanath
Advances in Neural Information Processing Systems 28, 2015
842015
A repair framework for scalar MDS codes
K Shanmugam, DS Papailiopoulos, AG Dimakis, G Caire
IEEE Journal on Selected Areas in Communications 32 (5), 998-1007, 2014
632014
Model-powered conditional independence test
R Sen, AT Suresh, K Shanmugam, AG Dimakis, S Shakkottai
Advances in neural information processing systems 30, 2017
612017
Experimental design for learning causal graphs with latent variables
M Kocaoglu, K Shanmugam, E Bareinboim
Advances in Neural Information Processing Systems 30, 2017
602017
Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs
AGD Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich
Proc. ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2015
56*2015
Causal Best Intervention Identification via Importance Sampling.
R Sen, K Shanmugam, AG Dimakis, S Shakkottai
CoRR, 2017
55*2017
AI Explainability 360 Toolkit
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021
542021
Model agnostic contrastive explanations for structured data
A Dhurandhar, T Pedapati, A Balakrishnan, PY Chen, K Shanmugam, ...
arXiv preprint arXiv:1906.00117, 2019
532019
An efficient multiple-groupcast coded multicasting scheme for finite fractional caching
M Ji, K Shanmugam, G Vettigli, J Llorca, AM Tulino, G Caire
2015 IEEE International Conference on Communications (ICC), 3801-3806, 2015
532015
Empirical or invariant risk minimization? a sample complexity perspective
K Ahuja, J Wang, A Dhurandhar, K Shanmugam, KR Varshney
arXiv preprint arXiv:2010.16412, 2020
502020
Distributed estimation of graph 4-profiles
ER Elenberg, K Shanmugam, M Borokhovich, AG Dimakis
Proceedings of the 25th International Conference on World Wide Web, 483-493, 2016
482016
Improving simple models with confidence profiles
A Dhurandhar, K Shanmugam, R Luss, PA Olsen
Advances in Neural Information Processing Systems 31, 2018
462018
Bounding multiple unicasts through index coding and locally repairable codes
K Shanmugam, AG Dimakis
2014 IEEE International Symposium on Information Theory, 296-300, 2014
442014
The system can't perform the operation now. Try again later.
Articles 1–20