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Hamiltonian Adaptive Importance Sampling


Sep 27, 2022
Ali Mousavi, Reza Monsefi, Víctor Elvira

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* in IEEE Signal Processing Letters, vol. 28, pp. 713-717, 2021 

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Adaptive Neuro Fuzzy Networks based on Quantum Subtractive Clustering


Jan 26, 2021
Ali Mousavi, Mehrdad Jalali, Mahdi Yaghoubi

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* Proceedings of the International Conference on Data Science (IC-DATA), The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), Nevada, USA, 2011 

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Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders


Jul 27, 2020
Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi

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Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning


Mar 24, 2020
Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou

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* Published at ICLR 2020 

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Unsupervised Learning with Stein's Unbiased Risk Estimator


May 26, 2018
Christopher A. Metzler, Ali Mousavi, Reinhard Heckel, Richard G. Baraniuk

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Learned D-AMP: Principled Neural Network based Compressive Image Recovery


Nov 06, 2017
Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk

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DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks


Jul 11, 2017
Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk

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Learning to Invert: Signal Recovery via Deep Convolutional Networks


Jan 14, 2017
Ali Mousavi, Richard G. Baraniuk

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* Accepted at The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing 

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Consistent Parameter Estimation for LASSO and Approximate Message Passing


Nov 04, 2015
Ali Mousavi, Arian Maleki, Richard G. Baraniuk

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* arXiv admin note: text overlap with arXiv:1309.5979 

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A Deep Learning Approach to Structured Signal Recovery


Aug 17, 2015
Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk

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* In Proceeding of 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton) 

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