most citedEfficient Active Deep Decoding of Linear Codes using Importance Sampling

2 citations

10 papers

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…

hep-th2026

Dressed D-strings with Instability and Transverse Rotation: The Open String Pair Production

Hamidreza Daniali, Davoud Kamani

Motivated by the Schwinger effect in the QED, we investigate the open string pair creation for the dressed D1-branes, incorporating electric and tachyonic fields and also transvers…

cond-mat.mtrl-sci2026

Interface Symmetry and Electrostatic Stabilization of Strain-Resilient Janus Heterobilayers for Flexible Piezotronics

Surender Kumar, Mostafa Torkashvand, Stefan Velja +1

The electronic structure of conventional two-dimensional transition metal dichalcogenides (TMDs) is highly sensitive to lattice deformation, often leading to indirect-to-direct ban…

cs.LG20261 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…

stat.ML2026

Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods

Behnam Yousefimehr, Mehdi Ghatee, Javad Fazli +10

Imbalanced datasets, where one class significantly outnumbers others, remain a persistent challenge in machine learning, often biasing predictions toward the majority class and deg…