6 citations · 27 across the 11 of their papers we have counts for
12 papers
Attention and Autoencoder Hybrid Model for Unsupervised Online Anomaly Detection
Seyed Amirhossein Najafi, Mohammad Hassan Asemani, Peyman Setoodeh
This paper introduces a hybrid attention and autoencoder (AE) model for unsupervised online anomaly detection in time series. The autoencoder captures local structural patterns in…
Interpretable Reinforcement Learning Inspired by Piaget's Theory of Cognitive Development
Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh
Endeavors for designing robots with human-level cognitive abilities have led to different categories of learning machines. According to Skinner's theory, reinforcement learning (RL…
Urban Change Detection by Fully Convolutional Siamese Concatenate Network with Attention
Farnoosh Heidary, Mehran Yazdi, Maryam Dehghani +1
Change detection (CD) is an important problem in remote sensing, especially in disaster time for urban management. Most existing traditional methods for change detection are catego…
Lyapunov-Based Stabilization and Control of Closed Quantum Systems
Elham Jamalinia, Peyman Azodi, Alireza Khayatian +1
A Lyapunov-based method is presented for stabilizing and controlling of closed quantum systems. The proposed method is constructed upon a novel quantum Lyapunov function of the sys…
Enacted Visual Perception: A Computational Model based on Piaget Equilibrium
Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh
In Maurice Merleau-Ponty's phenomenology of perception, analysis of perception accounts for an element of intentionality, and in effect therefore, perception and action cannot be v…
Deep Reinforcement Learning-Based Product Recommender for Online Advertising
Milad Vaali Esfahaani, Yanbo Xue, Peyman Setoodeh
In online advertising, recommender systems try to propose items from a list of products to potential customers according to their interests. Such systems have been increasingly dep…
Metalearning: Sparse Variable-Structure Automata
Pedram Fekri, Ali Akbar Safavi, Mehrdad Hosseini Zadeh +1
Dimension of the encoder output (i.e., the code layer) in an autoencoder is a key hyper-parameter for representing the input data in a proper space. This dimension must be carefull…
Lyapunov-Based Stabilization and Control of the Stochastic Schrodinger Equation
Peyman Azodi, Alireza Khayatian, Peyman Setoodeh
This paper presents a detailed Lyapunov-based theory to control and stabilize continuously-measured quantum systems, which are driven by Stochastic Schrodinger Equation (SSE). Init…
Stochastic Boundedness of State Trajectories of Stable LTI Systems in the Presence of Nonvanishing Stochastic Perturbation
Peyman Azodi, Alireza Khayatian, Elham Jamalinia +1
This paper studies stochastic boundedness of trajectories of a nonvanishing stochastically perturbed stable LTI system. First, two definitions on stochastic boundedness of stochast…
Robust Stability of Uncertain Quantum Input-Output Networks
Peyman Azodi, Alireza Khayatian, Peyman Setoodeh
This paper presents a systematic method to analyze stability and robustness of uncertain Quantum Input-Output Networks (QIONs). A general form of uncertainty is introduced into qua…
Uncertainty decomposition of quantum networks in SLH framework
Peyman Azodi, Alireza Khayatian, Peyman Setoodeh +1
This paper presents a systematic method to decompose uncertain linear quantum input-output networks into uncertain and nominal subnetworks, when uncertainties are defined in SLH re…
Improving Observability of Stochastic Complex Networks under the Supervision of Cognitive Dynamic Systems
Mehdi Fatemi, Peyman Setoodeh, Simon Haykin
Much has been said about observability in system theory and control; however, it has been recently that observability in complex networks has seriously attracted the attention of r…