• Ali Mousavi, Richard G. Baraniuk
    Uniform Partitioning of Data Grid for Association Detection
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
    [PDF]

  • Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou
    Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning
    International Conference on Learning Representations (ICLR), 2020
    [PDF]

  • Andrew Bennett**, Nathan Kallus**, Lihong Li**, Ali Mousavi**
    Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
    Causal Learning for Decision Making Workshop
    International Conference on Learning Representations (ICLR), 2020
    [PDF]

  • Chuan Guo*, Ali Mousavi*, Xiang Wu, Daniel Holtmann-Rice, Satyen Kale, Sashank Reddi, Sanjiv Kumar
    Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces
    Neural Information Processing Systems (NeurIPS), 2019
    [PDF]

  • Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk
    A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery
    International Conference on Learning Representations (ICLR), 2019
    [PDF]

  • Richard G. Baraniuk, Ali Mousavi
    Signal Recovery Via Deep Convolutional Networks
    USA Patent App. 16/466,718, 2019
    [PDF]

  • Debarshi Sen, Amirali Aghazadeh, Ali Mousavi, Satish Nagarajaiaha, Richard G. Baraniuk
    Sparsity-based Data-driven Approaches for Damage Detection in Plates
    Elsevier Mechanical Systems and Signal Processing, 2019
    [PDF]

  • Debarshi Sen, Amirali Aghazadeh, Ali Mousavi, Satish Nagarajaiaha, Richard G. Baraniuk, Ananad Dabak
    Data-driven semi-supervised and supervised learning algorithms for health monitoring of pipes
    Elsevier Mechanical Systems and Signal Processing, 2019
    [PDF]

  • Chris Metzler, Ali Mousavi, Reinhard Heckel, Richard G. Baraniuk
    Unsupervised Learning with Stein's Unbiased Risk Estimator
    International Biomedical and Astronomical Signal Processing Frontiers workshop, 2019
    [PDF]

  • Ali Mousavi, Arian Maleki, Richard G. Baraniukk
    Consistent Parameter Estimation for LASSO and Approximate Message Passing
    The Annals of Statistics, 2018
    [PDF]

  • Chris Metzler, Ali Mousavi, Richard G. Baraniuk
    Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm
    Neural Information Processing Systems (NeurIPS), 2017
    [PDF]

  • Ali Mousavi, Richard G. Baraniuk
    Beyond l1: Data Driven Sparse Signal Recovery using DeepInverse
    Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2017
    [PDF]

  • Ali Mousavi, Richard G. Baraniuk
    Learning to Invert: Signal Recovery via Deep Convolutional Networks
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
    [PDF]

  • Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk
    Deepcodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks (invited paper)
    Allerton Conference on Communication, Control, and Computing, 2017
    [PDF]

  • Ali Mousavi, Ankit Patel, Richard G. Baraniuk
    A Deep Learning Approach to Structured Signal Recovery
    Allerton Conference on Communication, Control, and Computing, 2015
    [PDF]

  • Ali Mousavi, Richard G. Baraniuk
    An Information-Theoretic Measure of Dependency among Variables in Large Datasets
    Allerton Conference on Communication, Control, and Computing, 2015
    [PDF]

  • Ali Mousavi, Arian Maleki, Richard G. Baraniuk
    Optimal Tuning of Approximate Message Passings
    Allerton Conference on Communication, Control, and Computing, 2014
    [PDF]

  • Ali Mousavi, Arian Maleki, Richard G. Baraniuk
    Asymptotic Analysis of LASSO’s Solution Path
    IEEE International Symposium on Information Theory (ISIT), 2014
    [PDF]

  • Pedram Pad, Ali Mousavi, Ali Goli, Farokh Marvasti
    Simplified MAP-MUD for Active User CDMA
    IEEE Communications Letters, 2011
    [PDF]

  • Ali Mousavi, Pedram Pad, Payam Delgosha, Farokh Marvasti
    A New Decoding Scheme for Errorless Codes for Overloaded CDMA with Active User Detection
    International Conference on Telecommunications (ICT), 2011
    [PDF]