• 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]