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ORCIDAli Mousavi 0003
Person information
- affiliation: Apple, USA
- affiliation: Google Research, Google Brain, AI, Kirkland, WA, USA
- affiliation (PhD 2018): Rice University, Department of Electrical and Computer Engineering, Houston, TX, USA
Other persons with the same name
- Ali Mousavi — disambiguation page
- Ali Mousavi 0001
![[0000-0003-0360-2712]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0360-2712")
(aka: Alireza Mousavi 0001) — Brunel University, College of Engineering, Design and Physical Sciences, Uxbridge, UK - Ali Mousavi 0002 — University of Calgary, Alberta, Canada
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2020 – today
- 2023
[j3]Hongyu Ren, Ali Mousavi, Anil Pacaci, Shihabur Rahman Chowdhury, Jason Mohoney, Ihab F. Ilyas, Yunyao Li, Theodoros Rekatsinas:
Fact Ranking over Large-Scale Knowledge Graphs with Reasoning Embedding Models. IEEE Data Eng. Bull. 46(2): 126-139 (2023)- [j2]Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas:
High-Throughput Vector Similarity Search in Knowledge Graphs. Proc. ACM Manag. Data 1(2): 197:1-197:25 (2023) - [c10]Ihab F. Ilyas, J. P. Lacerda, Yunyao Li, Umar Farooq Minhas, Ali Mousavi, Jeffrey Pound, Theodoros Rekatsinas, Chiraag Sumanth:
Growing and Serving Large Open-domain Knowledge Graphs. SIGMOD Conference Companion 2023: 253-259 - [i14]Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas:
High-Throughput Vector Similarity Search in Knowledge Graphs. CoRR abs/2304.01926 (2023) - [i13]Ihab F. Ilyas, J. P. Lacerda, Yunyao Li, Umar Farooq Minhas, Ali Mousavi, Jeffrey Pound, Theodoros Rekatsinas, Chiraag Sumanth:
Growing and Serving Large Open-domain Knowledge Graphs. CoRR abs/2305.09464 (2023) - [i12]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:
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation. CoRR abs/2309.11669 (2023) - 2022
- [j1]Ali Mousavi, Richard G. Baraniuk:
Uniform Partitioning of Data Grid for Association Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1098-1107 (2022) - 2021
- [c9]Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi:
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. AISTATS 2021: 1999-2007 - 2020
- [c8]Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou:
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning. ICLR 2020 - [i11]Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou:
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning. CoRR abs/2003.11126 (2020) - [i10]Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi:
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. CoRR abs/2007.13893 (2020)
2010 – 2019
- 2019
- [c7]Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk:
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery. ICLR (Poster) 2019 - [c6]Chuan Guo, Ali Mousavi, Xiang Wu, Daniel Niels Holtmann-Rice, Satyen Kale, Sashank J. Reddi, Sanjiv Kumar:
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces. NeurIPS 2019: 4944-4954 - 2018
- [i9]Christopher A. Metzler, Ali Mousavi, Reinhard Heckel, Richard G. Baraniuk:
Unsupervised Learning with Stein's Unbiased Risk Estimator. CoRR abs/1805.10531 (2018) - 2017
- [c5]Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk:
DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks. Allerton 2017: 744 - [c4]Ali Mousavi, Richard G. Baraniuk:
Learning to invert: Signal recovery via Deep Convolutional Networks. ICASSP 2017: 2272-2276 - [c3]Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk:
Learned D-AMP: Principled Neural Network based Compressive Image Recovery. NIPS 2017: 1772-1783 - [i8]Ali Mousavi, Richard G. Baraniuk:
Learning to Invert: Signal Recovery via Deep Convolutional Networks. CoRR abs/1701.03891 (2017) - [i7]Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk:
Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm. CoRR abs/1704.06625 (2017) - [i6]Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk:
DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks. CoRR abs/1707.03386 (2017) - 2015
- [c2]Ali Mousavi, Richard G. Baraniuk:
An information-theoretic measure of dependency among variables in large datasets. Allerton 2015: 650-657 - [c1]Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk:
A deep learning approach to structured signal recovery. Allerton 2015: 1336-1343 - [i5]Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk:
A Deep Learning Approach to Structured Signal Recovery. CoRR abs/1508.04065 (2015) - [i4]Ali Mousavi, Richard G. Baraniuk:
An Information-Theoretic Measure of Dependency Among Variables in Large Datasets. CoRR abs/1508.04073 (2015) - [i3]Ali Mousavi, Arian Maleki, Richard G. Baraniuk:
Consistent Parameter Estimation for LASSO and Approximate Message Passing. CoRR abs/1511.01017 (2015) - 2013
- [i2]Ali Mousavi, Arian Maleki, Richard G. Baraniuk:
Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing. CoRR abs/1309.5979 (2013) - [i1]Ali Mousavi, Arian Maleki, Richard G. Baraniuk:
Parameterless Optimal Approximate Message Passing. CoRR abs/1311.0035 (2013)
Coauthor Index
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