Alireza M. Javid

27 papers B 3Misc 4Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Robust Yield Curve Estimation for Mortgage Bonds Using Neural Networks. CoRR Sina Molavipour, Alireza M. Javid, Cassie Ye, Björn Löfdahl, Mikhail Nechaev
2022	J	`jnl`	Decentralized learning of randomization-based neural networks with centralized equivalence. Appl. Soft Comput. Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2022	B	`conf`	Neural Greedy Pursuit for Feature Selection. IJCNN Sandipan Das, Alireza M. Javid, Prakash Borpatra Gohain, Yonina C. Eldar, Saikat Chatterjee
2022	J	`jnl`	Neural Greedy Pursuit for Feature Selection. CoRR Sandipan Das, Alireza M. Javid, Prakash Borpatra Gohain, Yonina C. Eldar, Saikat Chatterjee
2021	Misc	`conf`	A ReLU Dense Layer to Improve the Performance of Neural Networks. ICASSP Alireza M. Javid, Sandipan Das, Mikael Skoglund, Saikat Chatterjee
2021	B	`conf`	Asynchronous Decentralized Learning of Randomization-Based Neural Networks. IJCNN Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2021	—	`—`	Neural Network Architecture Design: Towards Low-complexity and Scalable Solutions. Alireza M. Javid
2021	—	`conf`	Use of Deterministic Transforms to Design Weight Matrices of a Neural Network. EUSIPCO Pol Grau Jurado, Xinyue Liang, Alireza M. Javid, Saikat Chatterjee
2021	J	`jnl`	Use of Deterministic Transforms to Design Weight Matrices of a Neural Network. CoRR Pol Grau Jurado, Xinyue Liang, Alireza M. Javid, Saikat Chatterjee
2020	B	`conf`	A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. IJCNN Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. CoRR Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	A ReLU Dense Layer to Improve the Performance of Neural Networks. CoRR Alireza M. Javid, Sandipan Das, Mikael Skoglund, Saikat Chatterjee
2020	—	`conf`	Adaptive Learning without Forgetting via Low-Complexity Convex Networks. EUSIPCO Alireza M. Javid, Xinyue Liang, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	Asynchronous Decentralized Learning of a Neural Network. CoRR Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2020	Misc	`conf`	Asynchrounous Decentralized Learning of a Neural Network. ICASSP Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2020	—	`conf`	Design of a Non-negative Neural Network to Improve on NMF. EUSIPCO Filip Wen-Fwu Tsai, Alireza M. Javid, Saikat Chatterjee
2020	Misc	`conf`	High-Dimensional Neural Feature Using Rectified Linear Unit And Random Matrix Instance. ICASSP Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	High-dimensional Neural Feature using Rectified Linear Unit and Random Matrix Instance. CoRR Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	High-dimensional neural feature design for layer-wise reduction of training cost. EURASIP J. Adv. Signal Process. Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee
2020	—	`conf`	Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead. EUSIPCO Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University. CoRR Alireza M. Javid, Xinyue Liang, Arun Venkitaraman, Saikat Chatterjee
2020	J	`jnl`	Statistical model-based evaluation of neural networks. CoRR Sandipan Das, Prakash B. Gohain, Alireza M. Javid, Yonina C. Eldar, Saikat Chatterjee
2019	J	`jnl`	SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design. CoRR Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi, Shumpei Kikuta, Partha P. Mitra, Mikael Skoglund
2018	Misc	`conf`	Distributed Large Neural Network with Centralized Equivalence. ICASSP Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
2018	—	`conf`	Mutual Information Preserving Analysis of a Single Layer Feedforward Network. ISWCS Alireza M. Javid, Saikat Chatterjee, Mikael Skoglund
2018	J	`jnl`	R3Net: Random Weights, Rectifier Linear Units and Robustness for Artificial Neural Network. CoRR Arun Venkitaraman, Alireza M. Javid, Saikat Chatterjee
2017	J	`jnl`	Progressive Learning for Systematic Design of Large Neural Networks. CoRR Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi, Partha P. Mitra, Mikael Skoglund