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A ReLU Dense Layer to Improve the Performance of Neural Networks

Oct 22, 2020
Alireza M. Javid, Sandipan Das, Mikael Skoglund, Saikat Chatterjee

* Submitted to ICASSP 2021 

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On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics Algorithm

Oct 21, 2020
Borja Rodríguez-Gálvez, Germán Bassi, Ragnar Thobaben, Mikael Skoglund

* 10 pages, 5 of the main text, and 5 of appendices 

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Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing

Oct 02, 2020
Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund, H. Vincent Poor


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

Sep 29, 2020
Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

* Accepted to The International Joint Conference on Neural Networks (IJCNN) 2020, to appear 

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On Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling

Jun 12, 2020
Sina Molavipour, Germán Bassi, Mikael Skoglund


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A Variational Approach to Privacy and Fairness

Jun 11, 2020
Borja Rodríguez-Gálvez, Ragnar Thobaben, Mikael Skoglund

* 11 pages of main content + 9 pages of supplementary material 

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Upper Bounds on the Generalization Error of Private Algorithms

May 12, 2020
Borja Rodríguez-Gálvez, Germán Bassi, Mikael Skoglund

* 27 pages, 1 figure, submitted for possible publication 

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Asynchronous Decentralized Learning of a Neural Network

Apr 10, 2020
Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee

* 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 

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High-dimensional Neural Feature using Rectified Linear Unit and Random Matrix Instance

Mar 29, 2020
Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee

* 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 

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A Hybrid Model-based and Data-driven Approach to Spectrum Sharing in mmWave Cellular Networks

Mar 19, 2020
Hossein S. Ghadikolaei, Hadi Ghauch, Gabor Fodor, Mikael Skoglund, Carlo Fischione


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The Convex Information Bottleneck Lagrangian

Jan 10, 2020
Borja Rodríguez-Gálvez, Ragnar Thobaben, Mikael Skoglund

* 10 pages of main text, 2 page of references and 14 pages of appendices with the proofs, experimental details and caveats 

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Conditional Mutual Information Neural Estimator

Nov 06, 2019
Sina Molavipour, Germán Bassi, Mikael Skoglund


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Hidden Markov Models for sepsis detection in preterm infants

Oct 30, 2019
Antoine Honore, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund

* Submitted at the 45th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, Barcelona, Spain 

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Two-Way Coding and Attack Decoupling in Control Systems Under Injection Attacks

Sep 04, 2019
Song Fang, Karl Henrik Johansson, Mikael Skoglund, Henrik Sandberg, Hideaki Ishii

* arXiv admin note: text overlap with arXiv:1901.05420 

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Mobility-aware Content Preference Learning in Decentralized Caching Networks

Aug 22, 2019
Yu Ye, Ming Xiao, Mikael Skoglund


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

May 17, 2019
Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi, Shumpei Kikuta, Partha P. Mitra, Mikael Skoglund


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Decentralized Multi-Task Learning Based on Extreme Learning Machines

Apr 25, 2019
Yu Ye, Ming Xiao, Mikael Skoglund


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Generic Variance Bounds on Estimation and Prediction Errors in Time Series Analysis: An Entropy Perspective

Apr 15, 2019
Song Fang, Mikael Skoglund, Karl Henrik Johansson, Hideaki Ishii, Quanyan Zhu


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Learning Kolmogorov Models for Binary Random Variables

Jun 06, 2018
Hadi Ghauch, Mikael Skoglund, Hossein Shokri-Ghadikolaei, Carlo Fischione, Ali H. Sayed

* 9 pages, accecpted to ICML 2018: Workshop on Nonconvex Optimization 

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A Unified Framework for Training Neural Networks

May 23, 2018
Hadi Ghauch, Hossein Shokri-Ghadikolaei, Carlo Fischione, Mikael Skoglund

* 15 pages, submitted to NIPS 2018 

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Progressive Learning for Systematic Design of Large Neural Networks

Oct 23, 2017
Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi, Partha P. Mitra, Mikael Skoglund


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Performance Guarantees for Schatten-$p$ Quasi-Norm Minimization in Recovery of Low-Rank Matrices

Oct 26, 2014
Mohammadreza Malek-Mohammadi, Massoud Babaie-Zadeh, Mikael Skoglund

* Submitted to Elsevier Signal Processing 

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