output
20002026
most citedRegularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study

589 citations

575 papers

cs.AR2026★ 2 cited

ReSAFT: An Efficient Stuck-at Fault-Tolerant Scheme for ReRAM-based Process-in-Memory Accelerators

Aniseh Dorostkar, Hamed Farbeh, Hamid R. Zarandi

Analog ReRAM-based process-in-memory (PIM) accelerators provide high parallelism and energy efficiency for deep convolutional neural networks (CNNs) inference. However, their susce…

cs.AR2026★ 7 cited

An Empirical Fault Vulnerability Exploration of ReRAM-based Process-in-Memory CNN Accelerators

Aniseh Dorostkar, Hamed Farbeh, Hamid R. Zarandi

Resistive random-access memory (ReRAM)-based Processing-in-Memory (PIM) accelerator is a promising platform for processing massively memory intensive matrix-vector multiplications…

gr-qc2026

Static Spherically Symmetric Solutions in Modified Entropic Gravity

A. Rostami, M. Rostampour, A. Yarahmadi +1

Within the entropic gravity paradigm introduced by Verlinde, one assumes that the microscopic degrees of freedom residing on the holographic screen obey the equipartition law of en…

cs.LO2026

Goldblatt-Thomason Theorem for Probability Logic

Somayeh Chopoghloo, Massoud Pourmahdian, Reihane Zoghifard

Probability logic (PL) extends propositional logic with countably many probability operators, one for each rational number between 0 and 1. The formulas of this logic are interpret…

cs.ET2026

Nanoscale memristive devices: Threats and solutions

Amir M. Hajisadeghi, Javad Talafy, Hamid R. Zarandi

Due to their incentivizing features, memristors are a promising candidate for replacing CMOS-based memories, which are faced with various functional challenges in deep submicron pr…

cs.LG2026★ 2 cited

Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods

Roozbeh Razavi-Far, Mohammad Meymani, Erfan Mahmoudinia +6

Machine learning has revolutionized numerous industrial domains. Despite recent advances, machine learning models remain vulnerable to adversarial threats. Adversarial machine lear…