Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing. - Ali Mousavi 003; Arian Maleki; Richard G. Baraniuk (CoRR, 2013)

Parameterless Optimal Approximate Message Passing. - Ali Mousavi 003; Arian Maleki; Richard G. Baraniuk (CoRR, 2013)

An information-theoretic measure of dependency among variables in large datasets. - Ali Mousavi 003; Richard G. Baraniuk (Allerton, 2015)

A deep learning approach to structured signal recovery. - Ali Mousavi 003; Ankit B. Patel; Richard G. Baraniuk (Allerton, 2015)

Consistent Parameter Estimation for LASSO and Approximate Message Passing. - Ali Mousavi 003; Arian Maleki; Richard G. Baraniuk (CoRR, 2015)

DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks. - Ali Mousavi 003; Gautam Dasarathy; Richard G. Baraniuk (Allerton, 2017)

Learning to invert: Signal recovery via Deep Convolutional Networks. - Ali Mousavi 003; Richard G. Baraniuk (ICASSP, 2017)

Learned D-AMP: Principled Neural Network based Compressive Image Recovery. - Christopher A. Metzler; Ali Mousavi 003; Richard G. Baraniuk (NIPS, 2017)

Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm. - Christopher A. Metzler; Ali Mousavi 003; Richard G. Baraniuk (CoRR, 2017)

Unsupervised Learning with Stein's Unbiased Risk Estimator. - Christopher A. Metzler; Ali Mousavi 003; Reinhard Heckel; Richard G. Baraniuk (CoRR, 2018)

A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery. - Ali Mousavi 003; Gautam Dasarathy; Richard G. Baraniuk (ICLR (Poster), 2019)

Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces. - Chuan Guo 001; Ali Mousavi 003; Xiang Wu; Daniel Niels Holtmann-Rice; Satyen Kale; Sashank J. Reddi; Sanjiv Kumar (NeurIPS, 2019)

Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning. - Ali Mousavi 003; Lihong Li 001; Qiang Liu 001; Denny Zhou (ICLR, 2020)

Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. - Andrew Bennett; Nathan Kallus; Lihong Li 001; Ali Mousavi 003 (AISTATS, 2021)

Uniform Partitioning of Data Grid for Association Detection. - Ali Mousavi 003; Richard G. Baraniuk (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Growing and Serving Large Open-domain Knowledge Graphs. - Ihab F. Ilyas; J. P. Lacerda; Yunyao Li 001; Umar Farooq Minhas; Ali Mousavi 003; Jeffrey Pound; Theodoros Rekatsinas; Chiraag Sumanth (SIGMOD Conference Companion, 2023)

Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models. - Hongyu Ren; Ali Mousavi 003; Anil Pacaci; Shihabur Rahman Chowdhury; Jason Mohoney; Ihab F. Ilyas; Yunyao Li 001; Theodoros Rekatsinas (IEEE Data Eng. Bull., 2023)

High-Throughput Vector Similarity Search in Knowledge Graphs. - Jason Mohoney; Anil Pacaci; Shihabur Rahman Chowdhury; Ali Mousavi 003; Ihab F. Ilyas; Umar Farooq Minhas; Jeffrey Pound; Theodoros Rekatsinas (Proc. ACM Manag. Data, 2023)

Time Sensitive Knowledge Editing through Efficient Finetuning. - Xiou Ge; Ali Mousavi 003; Edouard Grave; Armand Joulin; Kun Qian 002; Benjamin Han; Mostafa Arefiyan; Yunyao Li 001 (ACL (Short Papers), 2024)

Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation. - Ali Mousavi 003; Xin Zhan; He Bai 002; Peng Shi 010; Theodoros Rekatsinas; Benjamin Han; Yunyao Li 001; Jeffrey Pound; Joshua M. Susskind; Natalie Schluter; Ihab F. Ilyas; Navdeep Jaitly (LREC/COLING, 2024)

ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models. - Ronak Pradeep; Daniel Lee; Ali Mousavi 003; Jeffrey Pound; Yisi Sang; Jimmy Lin; Ihab F. Ilyas; Saloni Potdar; Mostafa Arefiyan; Yunyao Li 001 (EMNLP (Industry Track), 2024)

Entity Disambiguation via Fusion Entity Decoding. - Junxiong Wang; Ali Mousavi 003; Omar Attia; Ronak Pradeep; Saloni Potdar; Alexander M. Rush; Umar Farooq Minhas; Yunyao Li 001 (NAACL-HLT, 2024)

Entity Disambiguation via Fusion Entity Decoding. - Junxiong Wang; Ali Mousavi 003; Omar Attia; Saloni Potdar; Alexander M. Rush; Umar Farooq Minhas; Yunyao Li 001 (CoRR, 2024)

ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA datasets with Large Language Models. - Ronak Pradeep; Daniel Lee; Ali Mousavi 003; Jeff Pound; Yisi Sang; Jimmy Lin; Ihab F. Ilyas; Saloni Potdar; Mostafa Arefiyan; Yunyao Li 001 (CoRR, 2024)