Alireza Javid

About Alireza Javid

Alireza Javid, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of Neural networks, distributed optimization, transfer learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Neural greedy pursuit for feature selection

Decentralized learning of randomization-based neural networks with centralized equivalence

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

Asynchronous Decentralized Learning of Randomization-Based Neural Networks

A ReLU dense layer to improve the performance of neural networks

Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead

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

Adaptive Learning without Forgetting via Low-Complexity Convex Networks

Alireza Javid Information

University

Position

Ph.D. Student

Citations(all)

156

Citations(since 2020)

150

Cited By

61

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Alireza Javid Skills & Research Interests

Neural networks

distributed optimization

transfer learning

Top articles of Alireza Javid

Decentralized learning of randomization-based neural networks with centralized equivalence

Applied Soft Computing

2022/1/1

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

arXiv e-prints

2021/10

Asynchronous Decentralized Learning of Randomization-Based Neural Networks

2021/7/18

A ReLU dense layer to improve the performance of neural networks

2021/6/6

Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead

2021/1/18

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

2021/1/18

Adaptive Learning without Forgetting via Low-Complexity Convex Networks

2021/1/18

Statistical model-based evaluation of neural networks

arXiv preprint arXiv:2011.09015

2020/11/18

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

2020/8

A low complexity decentralized neural net with centralized equivalence using layer-wise learning

2020/7/19

Predictive analysis of COVID-19 time-series data from Johns Hopkins University

arXiv preprint arXiv:2005.05060

2020/5/7

Asynchrounous decentralized learning of a neural network

2020/5/4

High-dimensional neural feature using rectified linear unit and random matrix instance

2020/5/4

See List of Professors in Alireza Javid University(Kungliga Tekniska högskolan)

Co-Authors

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