Ali Mousavi

According to our database, Ali Mousavi authored at least 24 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA datasets with Large Language Models.

Ronak Pradeep, Daniel Lee, Ali Mousavi, Jeff Pound, Yisi Sang, Jimmy Lin, Ihab F. Ilyas, Saloni Potdar, Mostafa Arefiyan, Yunyao Li

CoRR, 2024

Entity Disambiguation via Fusion Entity Decoding.

Junxiong Wang, Ali Mousavi, Omar Attia, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li

CoRR, 2024

Entity Disambiguation via Fusion Entity Decoding.

Junxiong Wang, Ali Mousavi, Omar Attia, Ronak Pradeep, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models.

Ronak Pradeep, Daniel Lee, Ali Mousavi, Jeffrey Pound, Yisi Sang, Jimmy Lin, Ihab F. Ilyas, Saloni Potdar, Mostafa Arefiyan, Yunyao Li

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation.

Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Joshua M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Time Sensitive Knowledge Editing through Efficient Finetuning.

Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

High-Throughput Vector Similarity Search in Knowledge Graphs.

Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas

Proc. ACM Manag. Data, 2023

Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models.

Hongyu Ren, Ali Mousavi, Anil Pacaci, Shihabur Rahman Chowdhury, Jason Mohoney, Ihab F. Ilyas, Yunyao Li, Theodoros Rekatsinas

IEEE Data Eng. Bull., 2023

Growing and Serving Large Open-domain Knowledge Graphs.

Ihab F. Ilyas, J. P. Lacerda, Yunyao Li, Umar Farooq Minhas, Ali Mousavi, Jeffrey Pound, Theodoros Rekatsinas, Chiraag Sumanth

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

2022

Uniform Partitioning of Data Grid for Association Detection.

Ali Mousavi, Richard G. Baraniuk

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

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

Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

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

Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces.

Chuan Guo, Ali Mousavi, Xiang Wu, Daniel Niels Holtmann-Rice, Satyen Kale, Sashank J. Reddi, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery.

Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Unsupervised Learning with Stein's Unbiased Risk Estimator.

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

CoRR, 2018

2017

Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm.

Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk

CoRR, 2017

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

Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning to invert: Signal recovery via Deep Convolutional Networks.

Ali Mousavi, Richard G. Baraniuk

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks.

Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2015

Consistent Parameter Estimation for LASSO and Approximate Message Passing.

Ali Mousavi, Arian Maleki, Richard G. Baraniuk

CoRR, 2015

A deep learning approach to structured signal recovery.

Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

An information-theoretic measure of dependency among variables in large datasets.

Ali Mousavi, Richard G. Baraniuk

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2013

Parameterless Optimal Approximate Message Passing.

Ali Mousavi, Arian Maleki, Richard G. Baraniuk

CoRR, 2013

Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing.

Ali Mousavi, Arian Maleki, Richard G. Baraniuk

CoRR, 2013