Maruan Al-Shedivat
Maruan Al-Shedivat
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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
arXiv preprint arXiv:1709.04326, 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
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
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
arXiv preprint arXiv:1705.10301, 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
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
Supervised transfer sparse coding
M Al-Shedivat, JJY Wang, MA Alzahrani, JZ Huang, X Gao
The AAAI Press, 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
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
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
Consistency by agreement in zero-shot neural machine translation
M Al-Shedivat, AP Parikh
arXiv preprint arXiv:1904.02338, 2019
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
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
A baseline for any order gradient estimation in stochastic computation graphs
J Mao, J Foerster, T Rocktaschel, M Al-Shedivat, G Farquhar, S Whiteson
Journal of Machine Learning Research, 2019
The intriguing properties of model explanations
M Al-Shedivat, A Dubey, EP Xing
arXiv preprint arXiv:1801.09808, 2018
Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version)
G Plumb, M Al-Shedivat, E Xing, A Talwalkar
arXiv preprint arXiv:1906.01431, 2019
On the complexity of exploration in goal-driven navigation
M Al-Shedivat, L Lee, R Salakhutdinov, E Xing
arXiv preprint arXiv:1811.06889, 2018
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