24 citations · 78 across the 11 of their papers we have counts for
12 papers
Upper bounds for integrated information
Alireza Zaeemzadeh, Giulio Tononi
Originally developed as a theory of consciousness, integrated information theory provides a mathematical framework to quantify the causal irreducibility of systems and subsets of u…
Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms
Larissa Albantakis, Leonardo Barbosa, Graham Findlay +13
This paper presents Integrated Information Theory (IIT) 4.0. IIT aims to account for the properties of experience in physical (operational) terms. It identifies the essential prope…
System Integrated Information
William Marshall, Matteo Grasso, William GP Mayner +7
Integrated information theory (IIT) starts from consciousness itself and identifies a set of properties (axioms) that are true of every conceivable experience. The axioms are trans…
RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing
Nazmul Karim, Alireza Zaeemzadeh, Nazanin Rahnavard
A reinforcement-learning-based non-uniform compressed sensing (NCS) framework for time-varying signals is introduced. The proposed scheme, referred to as RL-NCS, aims to boost the…
AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse Signals
Soheil Salehi, Ramtin Zand, Alireza Zaeemzadeh +2
Recently, the promising aspects of compressive sensing have inspired new circuit-level approaches for their efficient realization within the literature. However, most of these rece…
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision
Mohsen Joneidi, Alireza Zaeemzadeh, Nazanin Rahnavard +1
The goal of data selection is to capture the most structural information from a set of data. This paper presents a fast and accurate data selection method, in which the selected sa…
Norm-Preservation: Why Residual Networks Can Become Extremely Deep?
Alireza Zaeemzadeh, Nazanin Rahnavard, Mubarak Shah
Augmenting neural networks with skip connections, as introduced in the so-called ResNet architecture, surprised the community by enabling the training of networks of more than 1,00…
Robust Target Localization Based on Squared Range Iterative Reweighted Least Squares
Alireza Zaeemzadeh, Mohsen Joneidi, Behzad Shahrasbi +1
In this paper, the problem of target localization in the presence of outlying sensors is tackled. This problem is important in practice because in many real-world applications the…
Dynamic Sensor Selection for Reliable Spectrum Sensing via E-Optimal Criterion
Mohsen Joneidi, Alireza Zaeemzadeh, Nazanin Rahnavard
Reliable and efficient spectrum sensing through dynamic selection of a subset of spectrum sensors is studied. The problem of selecting K sensor measurements from a set of M potenti…
Adaptive Non-uniform Compressive Sampling for Time-varying Signals
Alireza Zaeemzadeh, Mohsen Joneidi, Nazanin Rahnavard
In this paper, adaptive non-uniform compressive sampling (ANCS) of time-varying signals, which are sparse in a proper basis, is introduced. ANCS employs the measurements of previou…
Missing Spectrum-Data Recovery in Cognitive Radio Networks Using Piecewise Constant Nonnegative Matrix Factorization
Alireza Zaeemzadeh, Mohsen Joneidi, Behzad Shahrasbi +1
In this paper, we propose a missing spectrum data recovery technique for cognitive radio (CR) networks using Nonnegative Matrix Factorization (NMF). It is shown that the spectrum m…
Matrix Coherency Graph: A Tool for Improving Sparse Coding Performance
Mohsen Joneidi, Mahdi Barzegar Khalilsarai, Alireza Zaeemzadeh +1
Exact recovery of a sparse solution for an underdetermined system of linear equations implies full search among all possible subsets of the dictionary, which is computationally int…