Maruan Al-Shedivat

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Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Gert CauwenberghsProfessor of Bioengineering and Co-Director, Institute for Neural Computation, UC San DiegoVerified email at ucsd.edu
Jakob FoersterResearch Scientist, Facebook AI ResearchVerified email at fb.com
Emre NeftciAssistant Professor, Department of Cognitive Sciences and Department of Computer Science, UC IrvineVerified email at uci.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
Aditya GroverResearch Scientist, Facebook AI ResearchVerified email at fb.com
Ilya SutskeverCo-Founder and Chief Scientist of OpenAIVerified email at openai.com
Zhiting HuPhD in MLD, Carnegie Mellon University; Incoming Assistant Professor at UC San DiegoVerified email at cs.cmu.edu
Andrew Gordon WilsonNew York UniversityVerified email at cims.nyu.edu
Ameet TalwalkarCMU and Determined AIVerified email at cmu.edu
Xin GaoAssociate Professor, Computer Electrical and Mathematical Sciences and Engineering Division, KAUSTVerified email at kaust.edu.sa
Ankur P ParikhResearch Scientist at Google AIVerified email at google.com
Samy BengioResearch Scientist, Google Research, Brain TeamVerified email at google.com
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu

Maruan Al-Shedivat

Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Artificial Intelligence Machine Learning


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Learning with opponent-learning awareness JN Foerster, RY Chen, M Al-Shedivat, S Whiteson, P Abbeel, I Mordatch Proceedings of the 17th International Conference on Autonomous Agents and …, 2018	254	2018
Continuous adaptation via meta-learning in nonstationary and competitive environments M Al-Shedivat, T Bansal, Y Burda, I Sutskever, I Mordatch, P Abbeel Proceedings of 6th International Conference on Learning Representations, 2018	193	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	94	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	92	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	75	2017
Stochasticity modeling in memristors R Naous, M Al-Shedivat, KN Salama IEEE Transactions on Nanotechnology 15 (1), 15-28, 2015	70	2015
Contextual Explanation Networks M Al-Shedivat, A Dubey, EP Xing Journal of Machine Learning Research 21 (194), 1−44, 2020	48	2020
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	42	2018
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	37	2018
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	27	2014
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
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
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	21	2019
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
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	14*	2020
Unsupervised learning in synaptic sampling machines EO Neftci, BU Pedroni, S Joshi, M Al-Shedivat, G Cauwenberghs arXiv preprint arXiv:1511.04484, 2015	13	2015
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	11*	2018
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
Progressive Generation of Long Text B Tan, Z Yang, M AI-Shedivat, EP Xing, Z Hu arXiv preprint arXiv:2006.15720, 2020	6	2020
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	6	2019

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