4 citations · 21 across the 13 of their papers we have counts for
6 papers · 1 filter
On Continuity of Robust and Accurate Classifiers
Ramin Barati, Reza Safabakhsh, Mohammad Rahmati
The reliability of a learning model is key to the successful deployment of machine learning in various applications. However, it is difficult to describe the phenomenon due to the…
An Analytic Framework for Robust Training of Artificial Neural Networks
Ramin Barati, Reza Safabakhsh, Mohammad Rahmati
The reliability of a learning model is key to the successful deployment of machine learning in various industries. Creating a robust model, particularly one unaffected by adversari…
Using Decision Tree as Local Interpretable Model in Autoencoder-based LIME
Niloofar Ranjbar, Reza Safabakhsh
Nowadays, deep neural networks are being used in many domains because of their high accuracy results. However, they are considered as "black box", means that they are not explainab…
Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks
Ramin Barati, Reza Safabakhsh, Mohammad Rahmati
In this paper, we study the adversarial examples existence and adversarial training from the standpoint of convergence and provide evidence that pointwise convergence in ANNs can e…
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
Amirhossein Nouranizadeh, Mohammadjavad Matinkia, Mohammad Rahmati +1
In this paper, we propose a novel pooling layer for graph neural networks based on maximizing the mutual information between the pooled graph and the input graph. Since the maximum…
Exponential Natural Particle Filter
Ghazal Zand, Mojtaba Taherkhani, Reza Safabakhsh
Particle Filter algorithm (PF) suffers from some problems such as the loss of particle diversity, the need for large number of particles, and the costly selection of the importance…