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
Jakob FoersterAssociate Professor, University of OxfordVerified email at eng.ox.ac.uk
Gert CauwenberghsProfessor of Bioengineering and Co-Director, Institute for Neural Computation, UC San DiegoVerified email at ucsd.edu
Emre NeftciInstitute Director, Forschungszentrum Jülich; Professor, RWTH Aachen; Associate Professor UC IrvineVerified email at fz-juelich.de
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKVerified email at cs.ox.ac.uk
Khaled Nabil SalamaKing Abdullah Univeristy of Science and Technology (KAUST)Verified email at kaust.edu.sa
Igor MordatchGoogle BrainVerified email at google.com
Pieter AbbeelUC Berkeley | Covariant.AIVerified email at cs.berkeley.edu
Yuri BurdaOpenAIVerified email at openai.com
Aditya GroverAssistant Professor of Computer Science, UCLAVerified email at cs.ucla.edu
Zhiting HuAssistant Professor at UC San DiegoVerified email at ucsd.edu
Ilya SutskeverCo-Founder and Chief Scientist of OpenAIVerified email at openai.com
Bowen TanCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Afshin RostamizadehGoogle ResearchVerified email at google.com
Ameet TalwalkarCMUVerified email at cmu.edu
Andrew Gordon WilsonNew York UniversityVerified email at cims.nyu.edu
Ankur P ParikhStaff Research Scientist at Google DeepMindVerified email at google.com
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Xin GaoProfessor, Computer Sciences; Director, Computational Bioscience Research CenterVerified email at kaust.edu.sa
Samy BengioSenior Director, AI and Machine Learning Research, AppleVerified email at apple.com

Maruan Al-Shedivat

Genesis Therapeutics

Verified email at genesistherapeutics.ai - 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	488	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	353	2018
A field guide to federated optimization J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ... arXiv preprint arXiv:2107.06917, 2021	204	2021
Stochastic synapses enable efficient brain-inspired learning machines EO Neftci, BU Pedroni, S Joshi, M Al-Shedivat, G Cauwenberghs Frontiers in neuroscience 10, 2016	132	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	127	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	113	2017
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	105*	2018
Stochasticity modeling in memristors R Naous, M Al-Shedivat, KN Salama IEEE Transactions on Nanotechnology 15 (1), 15-28, 2015	97	2015
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	82	2018
Contextual Explanation Networks M Al-Shedivat, A Dubey, EP Xing Journal of Machine Learning Research 21 (194), 1−44, 2020	81	2020
Progressive Generation of Long Text with Pretrained Language Models B Tan, Z Yang, M Al-Shedivat, E Xing, Z Hu Proceedings of the 2021 Conference of the North American Chapter of the …, 2021	63*	2021
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, 10526-10536, 2020	57*	2020
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms M Al-Shedivat, J Gillenwater, E Xing, A Rostamizadeh Proceedings of the 9th International Conference on Learning Representations, 2021	55	2021
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	54	2019
Memristor-based neural networks: Synaptic versus neuronal stochasticity R Naous, M AlShedivat, E Neftci, G Cauwenberghs, KN Salama Aip Advances 6 (11), 111304, 2016	36	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	32*	2015
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	30	2014
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	25	2016
On Data Efficiency of Meta-learning M Al-Shedivat, L Li, E Xing, A Talwalkar Proceedings of the 24th International Conference on Artificial Intelligence …, 2021	17	2021
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	15*	2018

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