Maruan Al-Shedivat

Cited by

	All	Since 2016
Citations	1026	996
h-index	14	14
i10-index	15	15

340

170

255

201420152016201720182019202020214 18 34 102 201 335 312 3

Co-authors

Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon UniversityVerified email at cs.cmu.edu
Gert CauwenberghsProfessor of Bioengineering and Co-Director, Institute for Neural Computation, UC San DiegoVerified email at ucsd.edu
Emre NeftciAssistant Professor, Department of Cognitive Sciences and Department of Computer Science, UC IrvineVerified email at uci.edu
Jakob FoersterResearch Scientist, Facebook AI ResearchVerified email at fb.com
Rawan NaousUniversity of California, BerkeleyVerified email at berkeley.edu
Khaled Nabil SalamaElectrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST)Verified email at kaust.edu.sa
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKVerified email at cs.ox.ac.uk
Igor MordatchUC BerkeleyVerified email at berkeley.edu
Pieter AbbeelUC Berkeley | Covariant.AIVerified email at cs.berkeley.edu
Yuri BurdaOpenAIVerified email at openai.com
Richard Y. ChenHappy Elements Inc.Verified email at openai.com
Aditya GroverResearch Scientist, Facebook AI ResearchVerified email at cs.stanford.edu
Avinava DubeyCarnegie Mellon UniversityVerified email at cs.cmu.edu
Ilya SutskeverCo-Founder and Chief Scientist of OpenAIVerified email at openai.com
Trapit BansalUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Zhiting HuPhD in MLD, Carnegie Mellon University; Assistant Professor at UC San DiegoVerified email at cs.cmu.edu
Tim RocktäschelResearch Scientist at Facebook AI Research, Lecturer at University College LondonVerified email at cs.ucl.ac.uk
Gregory FarquharDeepMindVerified email at google.com
Jayesh K. GuptaMicrosoftVerified email at cs.stanford.edu
Harrison EdwardsOpenAIVerified email at openai.com

Maruan Al-Shedivat

Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Artificial Intelligence Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning with opponent-learning awareness JN Foerster, RY Chen, M Al-Shedivat, S Whiteson, P Abbeel, I Mordatch arXiv preprint arXiv:1709.04326, 2017	236	2017
Continuous adaptation via meta-learning in nonstationary and competitive environments M Al-Shedivat, T Bansal, Y Burda, I Sutskever, I Mordatch, P Abbeel International Conference on Learning Representations, 2018	180	2018
Stochastic synapses enable efficient brain-inspired learning machines EO Neftci, BU Pedroni, S Joshi, M Al-Shedivat, G Cauwenberghs Frontiers in neuroscience 10, 2016	101*	2016
Memristors empower spiking neurons with stochasticity M Al-Shedivat, R Naous, G Cauwenberghs, KN Salama IEEE journal on Emerging and selected topics in circuits and systems 5 (2 …, 2015	82	2015
Learning scalable deep kernels with recurrent structure M Al-Shedivat, AG Wilson, Y Saatchi, Z Hu, EP Xing Journal of Machine Learning Research 18 (82), 1-37, 2017	72	2017
Stochasticity modeling in memristors R Naous, M Al-Shedivat, KN Salama IEEE Transactions on Nanotechnology 15 (1), 15-28, 2015	68	2015
Learning Policy Representations in Multiagent Systems A Grover, M Al-Shedivat, JK Gupta, Y Burda, H Edwards Proceedings of the 35th International Conference on Machine Learning 80 …, 2018	41*	2018
Contextual Explanation Networks M Al-Shedivat, A Dubey, EP Xing Journal of Machine Learning Research 21 (194), 1−44, 2020	39	2020
DiCE: The Infinitely Differentiable Monte-Carlo Estimator J Foerster, G Farquhar, M Al-Shedivat, T Rocktäschel, EP Xing, ... Proceedings of the 35th International Conference on Machine Learning 80 …, 2018	35	2018
Memristor-based neural networks: Synaptic versus neuronal stochasticity R Naous, M AlShedivat, E Neftci, G Cauwenberghs, KN Salama Aip Advances 6 (11), 111304, 2016	26	2016
Supervised transfer sparse coding M Al-Shedivat, JJY Wang, M Alzahrani, J Huang, X Gao Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	26	2014
Inherently stochastic spiking neurons for probabilistic neural computation M Al-Shedivat, R Naous, E Neftci, G Cauwenberghs, KN Salama 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 356-359, 2015	24*	2015
ADIOS: Architectures Deep In Output Space M Cissé, M Al-Shedivat, S Bengio Proceedings of The 33rd International Conference on Machine Learning, 2770-2779, 2016	20	2016
Consistency by agreement in zero-shot neural machine translation M Al-Shedivat, AP Parikh Conference of the North American Chapter of the Association for …, 2019	19	2019
Evaluating generalization in multiagent systems using agent-interaction graphs A Grover, M Al-Shedivat, JK Gupta, Y Burda, H Edwards Proceedings of the 17th International Conference on Autonomous Agents and …, 2018	12*	2018
Regularizing black-box models for improved interpretability G Plumb, M Al-Shedivat, ÁA Cabrera, A Perer, E Xing, A Talwalkar Advances in Neural Information Processing Systems 33, 2020	9*	2020
Stochastic synaptic plasticity with memristor crossbar arrays R Naous, M Al-Shedivat, E Neftci, G Cauwenberghs, KN Salama 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2078-2081, 2016	9	2016
A baseline for any order gradient estimation in stochastic computation graphs J Mao, J Foerster, T Rocktaschel, M Al-Shedivat, G Farquhar, S Whiteson International Conference on Machine Learning 97, 4343--4351, 2019	5	2019
The intriguing properties of model explanations M Al-Shedivat, A Dubey, EP Xing arXiv preprint arXiv:1801.09808, 2018	5	2018
Personalized survival prediction with contextual explanation networks M Al-Shedivat, A Dubey, EP Xing arXiv preprint arXiv:1801.09810, 2018	5	2018

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