Progressive Learning for Systematic Design of Large Neural Networks. - Saikat Chatterjee; Alireza M. Javid; Mostafa Sadeghi; Partha P. Mitra; Mikael Skoglund (CoRR, 2017)

Distributed Large Neural Network with Centralized Equivalence. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; Saikat Chatterjee (ICASSP, 2018)

Mutual Information Preserving Analysis of a Single Layer Feedforward Network. - Alireza M. Javid; Saikat Chatterjee; Mikael Skoglund (ISWCS, 2018)

R3Net: Random Weights, Rectifier Linear Units and Robustness for Artificial Neural Network. - Arun Venkitaraman; Alireza M. Javid; Saikat Chatterjee (CoRR, 2018)

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)

Adaptive Learning without Forgetting via Low-Complexity Convex Networks. - Alireza M. Javid; Xinyue Liang; Mikael Skoglund; Saikat Chatterjee (EUSIPCO, 2020)

Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; Saikat Chatterjee (EUSIPCO, 2020)

Design of a Non-negative Neural Network to Improve on NMF. - Filip Wen-Fwu Tsai; Alireza M. Javid; Saikat Chatterjee (EUSIPCO, 2020)

High-Dimensional Neural Feature Using Rectified Linear Unit And Random Matrix Instance. - Alireza M. Javid; Arun Venkitaraman; Mikael Skoglund; Saikat Chatterjee (ICASSP, 2020)

Asynchrounous Decentralized Learning of a Neural Network. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; Saikat Chatterjee (ICASSP, 2020)

A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; Saikat Chatterjee (IJCNN, 2020)

Asynchronous Decentralized Learning of a Neural Network. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; 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)

Statistical model-based evaluation of neural networks. - Sandipan Das; Prakash B. Gohain; Alireza M. Javid; Yonina C. Eldar; Saikat Chatterjee (CoRR, 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)

Use of Deterministic Transforms to Design Weight Matrices of a Neural Network. - Pol Grau Jurado; Xinyue Liang; Alireza M. Javid; Saikat Chatterjee (EUSIPCO, 2021)

A ReLU Dense Layer to Improve the Performance of Neural Networks. - Alireza M. Javid; Sandipan Das; Mikael Skoglund; Saikat Chatterjee (ICASSP, 2021)

Asynchronous Decentralized Learning of Randomization-Based Neural Networks. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; Saikat Chatterjee (IJCNN, 2021)

Neural Network Architecture Design: Towards Low-complexity and Scalable Solutions. - Alireza M. Javid (2021)

Neural Greedy Pursuit for Feature Selection. - Sandipan Das; Alireza M. Javid; Prakash Borpatra Gohain; Yonina C. Eldar; Saikat Chatterjee (IJCNN, 2022)

Decentralized learning of randomization-based neural networks with centralized equivalence. - Xinyue Liang; Alireza M. Javid; Mikael Skoglund; Saikat Chatterjee (Appl. Soft Comput., 2022)