Ali Mousavi

34 papers A* 2A 1Misc 1Journal 20Unranked 10
YearRankTypeTitle / Venue / Authors
2024 — conf
Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation.
LREC/COLING
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
2024 — conf
ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models.
EMNLP (Industry Track)
Ronak Pradeep, Daniel Lee, Ali Mousavi, Jeffrey Pound, Yisi Sang, Jimmy Lin, Ihab F. Ilyas, Saloni Potdar, Mostafa Arefiyan, Yunyao Li
2024 J jnl
ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA datasets with Large Language Models.
CoRR
Ronak Pradeep, Daniel Lee, Ali Mousavi, Jeff Pound, Yisi Sang, Jimmy Lin, Ihab F. Ilyas, Saloni Potdar, Mostafa Arefiyan, Yunyao Li
2024 — conf
Entity Disambiguation via Fusion Entity Decoding.
NAACL-HLT
Junxiong Wang, Ali Mousavi, Omar Attia, Ronak Pradeep, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li
2024 J jnl
Entity Disambiguation via Fusion Entity Decoding.
CoRR
Junxiong Wang, Ali Mousavi, Omar Attia, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li
2024 — conf
Time Sensitive Knowledge Editing through Efficient Finetuning.
ACL (Short Papers)
Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li
2024 J jnl
Time Sensitive Knowledge Editing through Efficient Finetuning.
CoRR
Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li
2023 J jnl
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation.
CoRR
Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Josh M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly
2023 J jnl
Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models.
IEEE Data Eng. Bull.
Hongyu Ren, Ali Mousavi, Anil Pacaci, Shihabur Rahman Chowdhury, Jason Mohoney, Ihab F. Ilyas, Yunyao Li, Theodoros Rekatsinas
2023 — conf
Growing and Serving Large Open-domain Knowledge Graphs.
SIGMOD Conference Companion
Ihab F. Ilyas, J. P. Lacerda, Yunyao Li, Umar Farooq Minhas, Ali Mousavi, Jeffrey Pound, Theodoros Rekatsinas, Chiraag Sumanth
2023 J jnl
Growing and Serving Large Open-domain Knowledge Graphs.
CoRR
Ihab F. Ilyas, J. P. Lacerda, Yunyao Li, Umar Farooq Minhas, Ali Mousavi, Jeffrey Pound, Theodoros Rekatsinas, Chiraag Sumanth
2023 J jnl
High-Throughput Vector Similarity Search in Knowledge Graphs.
CoRR
Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas
2023 J jnl
High-Throughput Vector Similarity Search in Knowledge Graphs.
Proc. ACM Manag. Data
Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas
2022 J jnl
Uniform Partitioning of Data Grid for Association Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Ali Mousavi, Richard G. Baraniuk
2021 A conf
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders.
AISTATS
Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi
2020 A* conf
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning.
ICLR
Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou
2020 J jnl
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning.
CoRR
Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou
2020 J jnl
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders.
CoRR
Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi
2019 — conf
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery.
ICLR (Poster)
Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk
2019 A* conf
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces.
NeurIPS
Chuan Guo, Ali Mousavi, Xiang Wu, Daniel Niels Holtmann-Rice, Satyen Kale, Sashank J. Reddi, Sanjiv Kumar
2018 J jnl
Unsupervised Learning with Stein's Unbiased Risk Estimator.
CoRR
Christopher A. Metzler, Ali Mousavi, Reinhard Heckel, Richard G. Baraniuk
2017 J jnl
DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks.
CoRR
Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk
2017 — conf
DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks.
Allerton
Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk
2017 J jnl
Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm.
CoRR
Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk
2017 — conf
Learned D-AMP: Principled Neural Network based Compressive Image Recovery.
NIPS
Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk
2017 J jnl
Learning to Invert: Signal Recovery via Deep Convolutional Networks.
CoRR
Ali Mousavi, Richard G. Baraniuk
2017 Misc conf
Learning to invert: Signal recovery via Deep Convolutional Networks.
ICASSP
Ali Mousavi, Richard G. Baraniuk
2015 J jnl
A Deep Learning Approach to Structured Signal Recovery.
CoRR
Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk
2015 — conf
A deep learning approach to structured signal recovery.
Allerton
Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk
2015 J jnl
An Information-Theoretic Measure of Dependency Among Variables in Large Datasets.
CoRR
Ali Mousavi, Richard G. Baraniuk
2015 — conf
An information-theoretic measure of dependency among variables in large datasets.
Allerton
Ali Mousavi, Richard G. Baraniuk
2015 J jnl
Consistent Parameter Estimation for LASSO and Approximate Message Passing.
CoRR
Ali Mousavi, Arian Maleki, Richard G. Baraniuk
2013 J jnl
Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing.
CoRR
Ali Mousavi, Arian Maleki, Richard G. Baraniuk
2013 J jnl
Parameterless Optimal Approximate Message Passing.
CoRR
Ali Mousavi, Arian Maleki, Richard G. Baraniuk