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2020 – today
- 2023
[j7]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)- [j6]Ali Mousavi, Mansour Esmaeilpour, Amir Sheikhahmadi:
A new family of Polak-Ribière-Polyak conjugate gradient method for impulse noise removal. Soft Comput. 27(23): 17515-17524 (2023) - [c21]Ihab F. Ilyas, JP 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 - [i17]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) - [i16]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) - [i15]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
- [j5]Ali Mousavi, Richard G. Baraniuk:
Uniform Partitioning of Data Grid for Association Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1098-1107 (2022) - [i14]Ali Mousavi, Reza Monsefi, Víctor Elvira:
Hamiltonian Adaptive Importance Sampling. CoRR abs/2209.13716 (2022) - 2021
- [j4]Ali Mousavi, Reza Monsefi, Víctor Elvira:
Hamiltonian Adaptive Importance Sampling. IEEE Signal Process. Lett. 28: 713-717 (2021) - [c20]Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi:
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. AISTATS 2021: 1999-2007 - [i13]Ali Mousavi, Mehrdad Jalali, Mahdi Yaghoubi:
Adaptive Neuro Fuzzy Networks based on Quantum Subtractive Clustering. CoRR abs/2102.00820 (2021) - 2020
- [j3]Vasileia Vasilaki, Sebelan Danishvar, Ali Mousavi, Evina Katsou:
Data-driven versus conventional N2O EF quantification methods in wastewater; how can we quantify reliable annual EFs? Comput. Chem. Eng. 141: 106997 (2020) - [c19]Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou:
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning. ICLR 2020 - [i12]Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou:
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning. CoRR abs/2003.11126 (2020) - [i11]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
- [c18]Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk:
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery. ICLR (Poster) 2019 - [c17]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 - [c16]Futra Zamsyah Md Fadzil, Ali Mousavi, Morad Danishvar:
Simulation of Event-Based Technique for Harmonic Failures. SII 2019: 66-72 - 2018
- [c15]Zhengwen Huang, Veerendra C. Angadi, Morad Danishvar, Ali Mousavi, Maozhen Li:
Zero Defect Manufacturing of Microsemiconductors - An Application of Machine Learning and Artificial Intelligence. ICSAI 2018: 449-454 - [c14]Morad Danishvar, Vasileia Vasilaki, Zhengwen Huang, Evina Katsou, Ali Mousavi:
Application of Data Driven techniques to Predict N2O Emission in Full-scale WWTPs. INDIN 2018: 993-997 - [i10]Christopher A. Metzler, Ali Mousavi, Reinhard Heckel, Richard G. Baraniuk:
Unsupervised Learning with Stein's Unbiased Risk Estimator. CoRR abs/1805.10531 (2018) - 2017
- [c13]Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk:
DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks. Allerton 2017: 744 - [c12]Ali Mousavi, Richard G. Baraniuk:
Learning to invert: Signal recovery via Deep Convolutional Networks. ICASSP 2017: 2272-2276 - [c11]Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk:
Learned D-AMP: Principled Neural Network based Compressive Image Recovery. NIPS 2017: 1772-1783 - [i9]Ali Mousavi, Richard G. Baraniuk:
Learning to Invert: Signal Recovery via Deep Convolutional Networks. CoRR abs/1701.03891 (2017) - [i8]Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk:
Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm. CoRR abs/1704.06625 (2017) - [i7]Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk:
DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks. CoRR abs/1707.03386 (2017) - 2016
- [b1]Ali Mousavi:
Ontology Based Semantic Knowledge Discovery for Movement Behaviors. University of Calgary, Alberta, Canada, 2016 - 2015
- [c10]Ali Mousavi, Richard G. Baraniuk:
An information-theoretic measure of dependency among variables in large datasets. Allerton 2015: 650-657 - [c9]Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk:
A deep learning approach to structured signal recovery. Allerton 2015: 1336-1343 - [c8]Bahareh Langari, John Stonham, Ali Mousavi:
Image loss concealment using edge-guided interpolation and multi-scale transformation. SP/SPE 2015: 391-396 - [i6]Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk:
A Deep Learning Approach to Structured Signal Recovery. CoRR abs/1508.04065 (2015) - [i5]Ali Mousavi, Richard G. Baraniuk:
An Information-Theoretic Measure of Dependency Among Variables in Large Datasets. CoRR abs/1508.04073 (2015) - [i4]Ali Mousavi, Arian Maleki, Richard G. Baraniuk:
Consistent Parameter Estimation for LASSO and Approximate Message Passing. CoRR abs/1511.01017 (2015) - 2014
- [c7]Morad Danishvar, Ali Mousavi, Pedro Angelo Morais de Sousa:
EventClustering for improved real time input variable selection and data modelling. CCA 2014: 1801-1806 - 2013
- [c6]Morad Danishvar, Ali Mousavi, Pedro Angelo Morais de Sousa, Rui Araújo:
Event-clustering for real-time data modeling. CASE 2013: 362-367 - [i3]Ali Mousavi, Arian Maleki, Richard G. Baraniuk:
Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing. CoRR abs/1309.5979 (2013) - [i2]Ali Mousavi, Arian Maleki, Richard G. Baraniuk:
Parameterless Optimal Approximate Message Passing. CoRR abs/1311.0035 (2013) - 2011
- [j2]Ping Pad, Ali Mousavi, Ali Goli, Farokh Marvasti:
Simplified MAP-MUD for Active User CDMA. IEEE Commun. Lett. 15(6): 599-601 (2011) - [j1]Funbi Emmanuel Simolowo, Ali Mousavi, P. O. Adjapong:
A computer-based product classification and component detection for demanufacturing processes. Int. J. Comput. Integr. Manuf. 24(10): 900-914 (2011) - [c5]Ali Mousavi, Pedram Pad, Payam Delgosha, Farokh Marvasti:
A new decoding scheme for errorless codes for overloaded CDMA with active user detection. ICT 2011: 201-205 - 2010
- [i1]Ali Mousavi, Pedram Pad, Farrokh Marvasti:
A New Decoding Scheme for Errorless Codes for Overloaded CDMA with Active User Detection. CoRR abs/1001.4423 (2010)
2000 – 2009
- 2009
- [c4]Ali Mousavi, Mohammad A. Rajabi, Mohammad Akbari:
Design and Implementation of a GSM Based Automatic Vehicle Location System. ICCSA (1) 2009: 533-542 - 2008
- [c3]Alexander Komashie, Ali Mousavi, Justin Gore:
Using Discrete Event Simulation (DES) to Manage Theatre Operations in Healthcare: An Audit-Based Case Study. UKSim 2008: 360-365 - 2005
- [c2]Alexander Komashie, Ali Mousavi, Mustafa Özbayrak:
A real-time knowledge-based decission support system for health care quality improvement using discrete event simulation techniques. WSC 2005: 2 - [c1]Alexander Komashie, Ali Mousavi:
Modeling emergency departments using discrete event simulation techniques. WSC 2005: 2681-2685
Coauthor Index
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last updated on 2023-10-29 00:06 CEST by the dblp team
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