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Maruan Al-Shedivat
Maruan Al-Shedivat
Principal Research Scientist @ Genesis Therapeutics
Verified email at genesistherapeutics.ai - Homepage
Title
Cited by
Cited by
Year
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
3992018
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
3022018
Stochastic synapses enable efficient brain-inspired learning machines
EO Neftci, BU Pedroni, S Joshi, M Al-Shedivat, G Cauwenberghs
Frontiers in neuroscience 10, 2016
1172016
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
1142015
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
1032021
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
1022017
Stochasticity modeling in memristors
R Naous, M Al-Shedivat, KN Salama
IEEE Transactions on Nanotechnology 15 (1), 15-28, 2015
882015
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
84*2018
Contextual Explanation Networks
M Al-Shedivat, A Dubey, EP Xing
Journal of Machine Learning Research 21 (194), 1−44, 2020
722020
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
642018
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
382019
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
34*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
312021
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
312014
Memristor-based neural networks: Synaptic versus neuronal stochasticity
R Naous, M AlShedivat, E Neftci, G Cauwenberghs, KN Salama
Aip Advances 6 (11), 111304, 2016
302016
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
30*2015
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
29*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
242016
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
Unsupervised learning in synaptic sampling machines
EO Neftci, BU Pedroni, S Joshi, M Al-Shedivat, G Cauwenberghs
arXiv preprint arXiv:1511.04484, 2015
152015
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