Alireza M. Javid

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 25

Top Topics

Feature Selection

Weight Matrices

Top Venues

Publications

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
Decentralized learning of randomization-based neural networks with centralized equivalence. Appl. Soft Comput. 115 (2022)
Sandipan Das, Alireza M. Javid, Prakash Borpatra Gohain, Yonina C. Eldar, Saikat Chatterjee
Neural Greedy Pursuit for Feature Selection. IJCNN (2022)
Sandipan Das, Alireza M. Javid, Prakash Borpatra Gohain, Yonina C. Eldar, Saikat Chatterjee
Neural Greedy Pursuit for Feature Selection. CoRR (2022)
Alireza M. Javid, Sandipan Das, Mikael Skoglund, Saikat Chatterjee
A ReLU Dense Layer to Improve the Performance of Neural Networks. ICASSP (2021)
Pol Grau Jurado, Xinyue Liang, Alireza M. Javid, Saikat Chatterjee
Use of Deterministic Transforms to Design Weight Matrices of a Neural Network. CoRR (2021)
Pol Grau Jurado, Xinyue Liang, Alireza M. Javid, Saikat Chatterjee
Use of Deterministic Transforms to Design Weight Matrices of a Neural Network. EUSIPCO (2021)
Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
Asynchronous Decentralized Learning of Randomization-Based Neural Networks. IJCNN (2021)
Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. CoRR (2020)
Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee
High-dimensional Neural Feature using Rectified Linear Unit and Random Matrix Instance. CoRR (2020)
Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead. EUSIPCO (2020)
Filip Wen-Fwu Tsai, Alireza M. Javid, Saikat Chatterjee
Design of a Non-negative Neural Network to Improve on NMF. EUSIPCO (2020)
Sandipan Das, Prakash B. Gohain, Alireza M. Javid, Yonina C. Eldar, Saikat Chatterjee
Statistical model-based evaluation of neural networks. CoRR (2020)
Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
Asynchronous Decentralized Learning of a Neural Network. CoRR (2020)
Alireza M. Javid, Xinyue Liang, Arun Venkitaraman, Saikat Chatterjee
Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University. CoRR (2020)
Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee
High-dimensional neural feature design for layer-wise reduction of training cost. EURASIP J. Adv. Signal Process. 2020 (1) (2020)
Alireza M. Javid, Sandipan Das, Mikael Skoglund, Saikat Chatterjee
A ReLU Dense Layer to Improve the Performance of Neural Networks. CoRR (2020)
Alireza M. Javid, Xinyue Liang, Mikael Skoglund, Saikat Chatterjee
Adaptive Learning without Forgetting via Low-Complexity Convex Networks. EUSIPCO (2020)
Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. IJCNN (2020)
Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee
High-Dimensional Neural Feature Using Rectified Linear Unit And Random Matrix Instance. ICASSP (2020)
Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
Asynchrounous Decentralized Learning of a Neural Network. ICASSP (2020)
Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi, Shumpei Kikuta, Partha P. Mitra, Mikael Skoglund
SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design. CoRR (2019)
Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
Distributed Large Neural Network with Centralized Equivalence. ICASSP (2018)
Alireza M. Javid, Saikat Chatterjee, Mikael Skoglund
Mutual Information Preserving Analysis of a Single Layer Feedforward Network. ISWCS (2018)
Arun Venkitaraman, Alireza M. Javid, Saikat Chatterjee
R3Net: Random Weights, Rectifier Linear Units and Robustness for Artificial Neural Network. CoRR (2018)
Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi, Partha P. Mitra, Mikael Skoglund
Progressive Learning for Systematic Design of Large Neural Networks. CoRR (2017)