output
19982026
most citedControl and Characterization of Individual Grains and Grain Boundaries in Graphene Grown by Chemical Vapor Deposition

1.5k citations

Showing 2026Show all

9 papers · 1 filter

cs.LG2026

Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series Quantification

Md Shahriar Kabir, Mayesha Maliha R. Mithila, Anne H. H. Ngu +2

Quantification, estimating class prevalences in bags of unlabeled instances is vital in domains where aggregate statistics are more important than individual instance labels, such…

cs.SE2026

Provably Lossless Acceleration of DNN Mutation Testing via Memoization

Ali Ghanbari, Ben Greenman, Sasan Tavakkol +1

Mutation analysis has recently reemerged in the context of deep neural networks (DNNs) as a promising, but notoriously costly, approach for assessing test dataset adequacy. Existin…

cs.SE2026

SpecPylot: Python Specification Generation using Large Language Models

Ragib Shahariar Ayon, Shibbir Ahmed

Automatically generating formal specifications could reduce the effort needed to improve program correctness, but in practice, this is still challenging. Many developers avoid writ…

astro-ph.EP2026★ 1 cited

How leaky? A large parameter study of leaky dust traps to quantify the transport of pebbles and ice in protoplanetary discs

Adrien Houge, Anders Johansen, Andrea Banzatti +1

In protoplanetary discs, the presence of dust traps can significantly alter the transport of solids from the outer to the inner regions, and hence they are often invoked as an expl…

cs.SE2026

From Helpful to Trustworthy: LLM Agents for Pair Programming

Ragib Shahariar Ayon

LLM-based coding agents are increasingly used to generate code, tests, and documentation. Still, their outputs can be plausible yet misaligned with developer intent and provide lim…

cs.LG2026★ 3 cited

TransConv-DDPM: Enhanced Diffusion Model for Generating Time-Series Data in Healthcare

Md Shahriar Kabir, Sana Alamgeer, Minakshi Debnath +1

The lack of real-world data in clinical fields poses a major obstacle in training effective AI models for diagnostic and preventive tools in medicine. Generative AI has shown promi…