Morteza Ibrahimi
Morteza Ibrahimi
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Cited by
Cited by
Efficient reinforcement learning for high dimensional linear quadratic systems
M Ibrahimi, A Javanmard, B Roy
Advances in Neural Information Processing Systems 25, 2012
Learning networks of stochastic differential equations
J Pereira, M Ibrahimi, A Montanari
Advances in Neural Information Processing Systems 23, 2010
The set of solutions of random XORSAT formulae
M Ibrahimi, Y Kanoria, M Kraning, A Montanari
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012
Reinforcement learning, bit by bit
X Lu, B Van Roy, V Dwaracherla, M Ibrahimi, I Osband, Z Wen
arXiv preprint arXiv:2103.04047, 2021
Hypermodels for exploration
V Dwaracherla, X Lu, M Ibrahimi, I Osband, Z Wen, B Van Roy
arXiv preprint arXiv:2006.07464, 2020
Epistemic neural networks
I Osband, Z Wen, SM Asghari, V Dwaracherla, M Ibrahimi, X Lu, ...
arXiv preprint arXiv:2107.08924, 2021
A packet-based photonic label switching router for a multirate all-optical CDMA-based GMPLS switch
F Farnoud, M Ibrahimi, JA Salehi
IEEE Journal of Selected Topics in Quantum Electronics 13 (5), 1522-1530, 2007
On efficiency in hierarchical reinforcement learning
Z Wen, D Precup, M Ibrahimi, A Barreto, B Van Roy, S Singh
Advances in Neural Information Processing Systems 33, 6708-6718, 2020
Efficient power allocation in cooperative OFDM system with channel variation
M Ibrahimi, B Liang
2008 IEEE International Conference on Communications, 3022-3028, 2008
A renewable, modular, and time-responsive DNA circuit
A Goel, M Ibrahimi
Natural Computing 10, 467-485, 2011
Robust max-product belief propagation
M Ibrahimi, A Javanmard, Y Kanoria, A Montanari
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals …, 2011
Information theoretic limits on learning stochastic differential equations
J Bento, M Ibrahimi, A Montanari
2011 IEEE International Symposium on Information Theory Proceedings, 855-859, 2011
Renewable, time-responsive DNA logic gates for scalable digital circuits
A Goel, M Ibrahimi
DNA Computing and Molecular Programming: 15th International Conference, DNA …, 2009
Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?
I Osband, Z Wen, SM Asghari, X Lu, M Ibrahimi, V Dwaracherla, ...
Support recovery for the drift coefficient of high-dimensional diffusions
JBA Periera, M Ibrahimi
IEEE transactions on information theory 60 (7), 4026-4049, 2014
From predictions to decisions: The importance of joint predictive distributions
Z Wen, I Osband, C Qin, X Lu, M Ibrahimi, V Dwaracherla, M Asghari, ...
arXiv preprint arXiv:2107.09224, 2021
Posterior sampling networks
VR Dwaracherla, B Van Roy, M Ibrahimi
Reinforcement Learning and Decision Making Conference, 366-370, 2019
Accelerated time-of-flight mass spectrometry
M Ibrahimi, A Montanari, GS Moore
IEEE transactions on signal processing 62 (15), 3784-3798, 2014
The Neural Testbed: Evaluating Joint Predictions
I Osband, Z Wen, SM Asghari, V Dwaracherla, B Hao, M Ibrahimi, ...
arXiv preprint arXiv:2110.04629, 2021
Exploration using hyper-models
B Van Roy, X Lu, VR Dwaracherla, Z Wen, M Ibrahimi, IDM Osband
US Patent App. 17/639,504, 2022
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