Alireza M. Javid

According to our database, Alireza M. Javid authored at least 21 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Decentralized learning of randomization-based neural networks with centralized equivalence.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

Appl. Soft Comput., 2022

Neural Greedy Pursuit for Feature Selection.

Sandipan Das, Alireza M. Javid, Prakash Borpatra Gohain, Yonina C. Eldar, Saikat Chatterjee

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Neural Network Architecture Design: Towards Low-complexity and Scalable Solutions.

Alireza M. Javid

PhD thesis, 2021

Asynchronous Decentralized Learning of Randomization-Based Neural Networks.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

Proceedings of the International Joint Conference on Neural Networks, 2021

A ReLU Dense Layer to Improve the Performance of Neural Networks.

Alireza M. Javid, Sandipan Das, Mikael Skoglund, Saikat Chatterjee

Proceedings of the IEEE International Conference on Acoustics, 2021

Use of Deterministic Transforms to Design Weight Matrices of a Neural Network.

Pol Grau Jurado, Xinyue Liang, Alireza M. Javid, Saikat Chatterjee

Proceedings of the 29th European Signal Processing Conference, 2021

2020

High-dimensional neural feature design for layer-wise reduction of training cost.

Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee

EURASIP J. Adv. Signal Process., 2020

Statistical model-based evaluation of neural networks.

Sandipan Das, Prakash B. Gohain, Alireza M. Javid, Yonina C. Eldar, Saikat Chatterjee

CoRR, 2020

Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University.

Alireza M. Javid, Xinyue Liang, Arun Venkitaraman, Saikat Chatterjee

CoRR, 2020

Asynchronous Decentralized Learning of a Neural Network.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

CoRR, 2020

A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Asynchrounous Decentralized Learning of a Neural Network.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

High-Dimensional Neural Feature Using Rectified Linear Unit And Random Matrix Instance.

Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Design of a Non-negative Neural Network to Improve on NMF.

Filip Wen-Fwu Tsai, Alireza M. Javid, Saikat Chatterjee

Proceedings of the 28th European Signal Processing Conference, 2020

Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

Proceedings of the 28th European Signal Processing Conference, 2020

Adaptive Learning without Forgetting via Low-Complexity Convex Networks.

Alireza M. Javid, Xinyue Liang, Mikael Skoglund, Saikat Chatterjee

Proceedings of the 28th European Signal Processing Conference, 2020

2019

SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design.

Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi, Shumpei Kikuta, Partha P. Mitra, Mikael Skoglund

CoRR, 2019

2018

R3Net: Random Weights, Rectifier Linear Units and Robustness for Artificial Neural Network.

Arun Venkitaraman, Alireza M. Javid, Saikat Chatterjee

CoRR, 2018

Mutual Information Preserving Analysis of a Single Layer Feedforward Network.

Alireza M. Javid, Saikat Chatterjee, Mikael Skoglund

Proceedings of the 15th International Symposium on Wireless Communication Systems, 2018

Distributed Large Neural Network with Centralized Equivalence.

Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Progressive Learning for Systematic Design of Large Neural Networks.

Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi, Partha P. Mitra, Mikael Skoglund

CoRR, 2017