Maruan Al-Shedivat
Maruan Al-Shedivat
Genesis Therapeutics
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Cited by
Cited by
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
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
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
Stochastic synapses enable efficient brain-inspired learning machines
EO Neftci, BU Pedroni, S Joshi, M Al-Shedivat, G Cauwenberghs
Frontiers in neuroscience 10, 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
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
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
Stochasticity modeling in memristors
R Naous, M Al-Shedivat, KN Salama
IEEE Transactions on Nanotechnology 15 (1), 15-28, 2015
Contextual Explanation Networks
M Al-Shedivat, A Dubey, EP Xing
Journal of Machine Learning Research 21 (194), 1−44, 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
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
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
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
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
Memristor-based neural networks: Synaptic versus neuronal stochasticity
R Naous, M AlShedivat, E Neftci, G Cauwenberghs, KN Salama
Aip Advances 6 (11), 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
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
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
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
Maruan Al-Shedivat, Jayesh Gupta, Yuri Burda, and Harrison Edwards. Learning policy representations in multiagent systems
A Grover
International conference on machine learning, 1802-1811, 0
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