42 citations · 197 across the 45 of their papers we have counts for
4 papers · 1 filter
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…
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments
Ali AhmadiTeshnizi, Saber Salehkaleybar, Negar Kiyavash
The causal relationships among a set of random variables are commonly represented by a Directed Acyclic Graph (DAG), where there is a directed edge from variable to variable $Y…