High-dimensional neural feature design for layer-wise reduction of training cost von Javid, Alireza M., Venkitaraman, Arun, Skoglund, Mikael, Chatterjee, Saikat

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Decentralized learning of randomization-based neural networks with centralized equivalence von Liang, Xinyue, M. Javid, Alireza, Skoglund, Mikael, Chatterjee, Saikat

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Asynchronous Decentralized Learning of Randomization-based Neural Networks von Liang, Xinyue, Javid, Alireza M., Skoglund, Mikael, Chatterjee, Saikat

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Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead von Liang, Xinyue, Javid, Alireza M., Skoglund, Mikael, Chatterjee, Saikat

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Neural Network Architecture Design: Towards Low-complexity and Scalable Solutions von M. Javid, Alireza

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Use of Deterministic Transforms to Design Weight Matrices of a Neural Network von Jurado, Pol Grau, Liang, Xinyue, Javid, Alireza M, Chatterjee, Saikat

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Neural Greedy Pursuit for Feature Selection von Das, Sandipan, Javid, Alireza M, Gohain, Prakash Borpatra, Eldar, Yonina C, Chatterjee, Saikat

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A ReLU Dense Layer to Improve the Performance of Neural Networks von Javid, Alireza M, Das, Sandipan, Skoglund, Mikael, Chatterjee, Saikat

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A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning von Liang, Xinyue, Javid, Alireza M, Skoglund, Mikael, Chatterjee, Saikat

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High-dimensional Neural Feature Design for Layer-wise Reduction of Training Cost von Javid, Alireza M, Venkitaraman, Arun, Skoglund, Mikael, Chatterjee, Saikat

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Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University von Javid, Alireza M, Liang, Xinyue, Venkitaraman, Arun, Chatterjee, Saikat

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Asynchronous Decentralized Learning of a Neural Network von Liang, Xinyue, Javid, Alireza M, Skoglund, Mikael, Chatterjee, Saikat

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R3Net: Random Weights, Rectifier Linear Units and Robustness for Artificial Neural Network von Venkitaraman, Arun, Javid, Alireza M, Chatterjee, Saikat

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Statistical model-based evaluation of neural networks von Das, Sandipan, Gohain, Prakash B, Javid, Alireza M, Eldar, Yonina C, Chatterjee, Saikat

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Use of Deterministic Transforms to Design Weight Matrices of a Neural Network von Pol Grau Jurado, Liang, Xinyue, Javid, Alireza M, Chatterjee, Saikat

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SSFN -- Self Size-estimating Feed-forward Network with Low Complexity, Limited Need for Human Intervention, and Consistent Behaviour across Trials von Chatterjee, Saikat, Javid, Alireza M, Sadeghi, Mostafa, Kikuta, Shumpei, Liu, Dong, Mitra, Partha P, Skoglund, Mikael

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A ReLU Dense Layer to Improve the Performance of Neural Networks von Javid, Alireza M, Das, Sandipan, Skoglund, Mikael, Chatterjee, Saikat

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A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning von Liang, Xinyue, Javid, Alireza M, Skoglund, Mikael, Chatterjee, Saikat

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Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University von Javid, Alireza M, Liang, Xinyue, Venkitaraman, Arun, Chatterjee, Saikat

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Asynchronous Decentralized Learning of a Neural Network von Liang, Xinyue, Javid, Alireza M, Skoglund, Mikael, Chatterjee, Saikat

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