8 citations · 11 across the 9 of their papers we have counts for
9 papers
Visual Adaptive Prompting for Compositional Zero-Shot Learning
Kyle Stein, Arash Mahyari, Guillermo Francia +1
Vision-Language Models (VLMs) have demonstrated impressive multimodal capabilities in learning joint representations of visual and textual data, making them powerful tools for task…
A Transformer-Based Framework for Payload Malware Detection and Classification
Kyle Stein, Arash Mahyari, Guillermo Francia +1
As malicious cyber threats become more sophisticated in breaching computer networks, the need for effective intrusion detection systems (IDSs) becomes crucial. Techniques such as D…
A Hierarchical Deep Neural Network for Detecting Lines of Codes with Vulnerabilities
Arash Mahyari
Software vulnerabilities, caused by unintentional flaws in source codes, are the main root cause of cyberattacks. Source code static analysis has been used extensively to detect th…
Real-Time Learning from An Expert in Deep Recommendation Systems with Marginal Distance Probability Distribution
Arash Mahyari, Peter Pirolli, Jacqueline A. LeBlanc
Recommendation systems play an important role in today's digital world. They have found applications in various applications such as music platforms, e.g., Spotify, and movie strea…
Policy Augmentation: An Exploration Strategy for Faster Convergence of Deep Reinforcement Learning Algorithms
Arash Mahyari
Despite advancements in deep reinforcement learning algorithms, developing an effective exploration strategy is still an open problem. Most existing exploration strategies either a…
Physical Exercise Recommendation and Success Prediction Using Interconnected Recurrent Neural Networks
Arash Mahyari, Peter Pirolli
Unhealthy behaviors, e.g., physical inactivity and unhealthful food choice, are the primary healthcare cost drivers in developed countries. Pervasive computational, sensing, and co…
Domain Adaptation for Robot Predictive Maintenance Systems
Arash Golibagh Mahyari, Thomas Locker
Industrial robots play an increasingly important role in a growing number of fields. For example, robotics is used to increase productivity while reducing costs in various aspects…
Simultaneous Sparse Approximation and Common Component Extraction using Fast Distributed Compressive Sensing
Arash Golibagh Mahyari, Selin Aviyente
Simultaneous sparse approximation is a generalization of the standard sparse approximation, for simultaneously representing a set of signals using a common sparsity model. Generali…
Identification of Dynamic functional brain network states Through Tensor Decomposition
Arash Golibagh Mahyari, Selin Aviyente
With the advances in high resolution neuroimaging, there has been a growing interest in the detection of functional brain connectivity. Complex network theory has been proposed as…