Ali Mousavi

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 30

Top Topics

Neuro Fuzzy Network

Policy Evaluation

Top Venues

Multim. Tools Appl.

IEEE Signal Process. Lett.

Publications

Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li
Time Sensitive Knowledge Editing through Efficient Finetuning. CoRR (2024)
Ali Mousavi, Mansour Esmaeilpour, Amir Sheikhahmadi
Two efficient three-term conjugate gradient methods for impulse noise removal from medical images. Multim. Tools Appl. 83 (15) (2024)
Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mehmet Unal, Ali Mousavi
Adventures in data analysis: a systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems. Multim. Tools Appl. 83 (8) (2024)
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)
Ali Mousavi, Mansour Esmaeilpour, Amir Sheikhahmadi
A new family of Polak-Ribière-Polyak conjugate gradient method for impulse noise removal. Soft Comput. 27 (23) (2023)
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 (2023)
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 (2023)
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. CoRR (2023)
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) (2023)
Ali Mousavi, Richard G. Baraniuk
Uniform Partitioning of Data Grid for Association Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Ali Mousavi, Reza Monsefi, Víctor Elvira
Hamiltonian Adaptive Importance Sampling. CoRR (2022)
Ali Mousavi, Mehrdad Jalali, Mahdi Yaghoubi
Adaptive Neuro Fuzzy Networks based on Quantum Subtractive Clustering. CoRR (2021)
Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. AISTATS (2021)
Ali Mousavi, Reza Monsefi, Víctor Elvira
Hamiltonian Adaptive Importance Sampling. IEEE Signal Process. Lett. 28 (2021)
Vasileia Vasilaki, S. Danishvar, Ali Mousavi, Evina Katsou
O EF quantification methods in wastewater; how can we quantify reliable annual EFs? Comput. Chem. Eng. 141 (2020)
Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning. ICLR (2020)
Ali Mousavi, Lihong Li, Qiang Liu, Denny Zhou
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning. CoRR (2020)
Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. CoRR (2020)
Futra Zamsyah Md Fadzil, Ali Mousavi, Morad Danishvar
Simulation of Event-Based Technique for Harmonic Failures. SII (2019)
Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery. ICLR (Poster) (2019)
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)
Christopher A. Metzler, Ali Mousavi, Reinhard Heckel, Richard G. Baraniuk
Unsupervised Learning with Stein's Unbiased Risk Estimator. CoRR (2018)
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)
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)
Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk
DeepCodec: Adaptive sensing and recovery via deep convolutional neural networks. Allerton (2017)
Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk
Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm. CoRR (2017)
Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk
Learned D-AMP: Principled Neural Network based Compressive Image Recovery. NIPS (2017)
Ali Mousavi, Richard G. Baraniuk
Learning to invert: Signal recovery via Deep Convolutional Networks. ICASSP (2017)
Ali Mousavi, Richard G. Baraniuk
Learning to Invert: Signal Recovery via Deep Convolutional Networks. CoRR (2017)
Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk
DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks. CoRR (2017)
Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk
A deep learning approach to structured signal recovery. Allerton (2015)
Ali Mousavi, Arian Maleki, Richard G. Baraniuk
Consistent Parameter Estimation for LASSO and Approximate Message Passing. CoRR (2015)
Bahareh Langari, John Stonham, Ali Mousavi
Image loss concealment using edge-guided interpolation and multi-scale transformation. SP/SPE (2015)
Ali Mousavi, Ankit B. Patel, Richard G. Baraniuk
A Deep Learning Approach to Structured Signal Recovery. CoRR (2015)
Ali Mousavi, Richard G. Baraniuk
An Information-Theoretic Measure of Dependency Among Variables in Large Datasets. CoRR (2015)
Ali Mousavi, Richard G. Baraniuk
An information-theoretic measure of dependency among variables in large datasets. Allerton (2015)
Morad Danishvar, Ali Mousavi, Pedro Angelo Morais de Sousa
EventClustering for improved real time input variable selection and data modelling. CCA (2014)
Morad Danishvar, Ali Mousavi, Pedro Angelo Morais de Sousa, Rui Araújo
Event-clustering for real-time data modeling. CASE (2013)
Ali Mousavi, Arian Maleki, Richard G. Baraniuk
Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing. CoRR (2013)
Ali Mousavi, Arian Maleki, Richard G. Baraniuk
Parameterless Optimal Approximate Message Passing. CoRR (2013)
Ping Pad, Ali Mousavi, Ali Goli, Farokh Marvasti
Simplified MAP-MUD for Active User CDMA. IEEE Commun. Lett. 15 (6) (2011)
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) (2011)
Ali Mousavi, Pedram Pad, Payam Delgosha, Farokh Marvasti
A new decoding scheme for errorless codes for overloaded CDMA with active user detection. ICT (2011)
Ali Mousavi, Pedram Pad, Farrokh Marvasti
A New Decoding Scheme for Errorless Codes for Overloaded CDMA with Active User Detection CoRR (2010)
Ali Mousavi, Mohammad A. Rajabi, Mohammad Akbari
Design and Implementation of a GSM Based Automatic Vehicle Location System. ICCSA (1) (2009)
Alexander Komashie, Ali Mousavi, Justin Gore
Using Discrete Event Simulation (DES) to Manage Theatre Operations in Healthcare: An Audit-Based Case Study. UKSim (2008)
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)
Alexander Komashie, Ali Mousavi
Modeling emergency departments using discrete event simulation techniques. WSC (2005)