405 citations · 736 across the 11 of their papers we have counts for
11 papers
ParaLiNGAM: Parallel Causal Structure Learning for Linear non-Gaussian Acyclic Models
Amirhossein Shahbazinia, Saber Salehkaleybar, Matin Hashemi
One of the key objectives in many fields in machine learning is to discover causal relationships among a set of variables from observational data. In linear non-Gaussian acyclic mo…
High-Throughput Parallel Viterbi Decoder on GPU Tensor Cores
Alireza Mohammadidoost, Matin Hashemi
Many research works have been performed on implementation of Vitrerbi decoding algorithm on GPU instead of FPGA because this platform provides considerable flexibility in addition…
High-Throughput and Memory-Efficient Parallel Viterbi Decoder for Convolutional Codes on GPU
Alireza Mohammadidoost, Matin Hashemi
This paper describes a parallel implementation of Viterbi decoding algorithm. Viterbi decoder is widely used in many state-of-the-art wireless systems. The proposed solution optimi…
Active Learning of Causal Structures with Deep Reinforcement Learning
Amir Amirinezhad, Saber Salehkaleybar, Matin Hashemi
We study the problem of experiment design to learn causal structures from interventional data. We consider an active learning setting in which the experimenter decides to intervene…
Deep-Learning Based Blind Recognition of Channel Code Parameters over Candidate Sets under AWGN and Multi-Path Fading Conditions
Sepehr Dehdashtian, Matin Hashemi, Saber Salehkaleybar
We consider the problem of recovering channel code parameters over a candidate set by merely analyzing the received encoded signals. We propose a deep learning-based solution that…
gIM: GPU Accelerated RIS-based Influence Maximization Algorithm
Soheil Shahrouz, Saber Salehkaleybar, Matin Hashemi
Given a social network modeled as a weighted graph , the influence maximization problem seeks vertices to become initially influenced, to maximize the expected number of inf…