Search Results - (endededededecoding OR (coding OR Decoding)) (algorithmics OR (algorithm OR algorithm))

Median and Small Parsimony Problems on RNA trees by Marchand, Bertrand, Anselmetti, Yoann, Lafond, Manuel, Ouangraoua, Aïda

Table of Contents: “…Motivation: Non-coding RNAs (ncRNAs) express their functions by adopting molecular structures…”
Get full text

Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching by Uvaydov, Daniel, Zhang, Milin, Robinson, Clifton Paul, D'Oro, Salvatore, Melodia, Tommaso, Restuccia, Francesco

Table of Contents: “… computer vision algorithm, we add non-local blocks to combine the spatial features of signals, and thus…”
Get full text

AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability by Yang, Siwei, Zhao, Bingchen, Xie, Cihang

Table of Contents: “… of large language models (LLMs) in algorithmic contexts, such as depth-first search (DFS). The key feature…”
Get full text

Insights into mobile health application market via a content analysis of marketplace data with machine learning by Aydin, Gokhan, Silahtaroglu, Gokhan

Table of Contents: “… app marketplaces and manually coded and categorized by two researchers. For analysis, Artificial…”
Get full text

MMSR: Symbolic Regression is a Multi-Modal Information Fusion Task by Li, Yanjie, Liu, Jingyi, Li, Weijun, Yu, Lina, Wu, Min, Li, Wenqiang, Hao, Meilan, Wei, Su, Deng, Yusong

Table of Contents: “…, and Genetic Programming (GP) and Reinforcement Learning algorithms were used to solve it. However, GP…”
Get full text

Semantic Text Transmission via Prediction with Small Language Models: Cost-Similarity Trade-off by Madhabhavi, Bhavani A, Karevvanavar, Gangadhar, Bhat, Rajshekhar V, Pappas, Nikolaos

Table of Contents: “… or equal to that of the Markov chain-based algorithm for the same $\bar{c}$. The improved performance comes…”
Get full text

NASH: Neural Architecture Search for Hardware-Optimized Machine Learning Models by Ji, Mengfei, Chang, Yuchun, Zhang, Baolin, Al-Ars, Zaid

Table of Contents: “…As machine learning (ML) algorithms get deployed in an ever-increasing number of applications…”
Get full text

Parameterized Maximum Node-Disjoint Paths by Lampis, Michael, Vasilakis, Manolis

Table of Contents: “… to solve via a surprisingly simple color-coding algorithm, which relies on identifying an insightful…”
Get full text

Logical Error Rates for a [[4,2,2]]-Encoded Variational Quantum Eigensolver Ansatz by Gowrishankar, Meenambika, Claudino, Daniel, Wright, Jerimiah, Humble, Travis

Table of Contents: “…Quantum computing offers a potential for algorithmic speedups for applications, such as large-scale…”
Get full text

ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI by Fang, Yuqi, Zhang, Junhao, Wang, Linmin, Wang, Qianqian, Liu, Mingxia

Table of Contents: “… algorithms for fMRI analysis. However, existing toolboxes seldom consider fMRI data augmentation, which…”
Get full text

From Compliant to Rigid Contact Simulation: a Unified and Efficient Approach by Carpentier, Justin, Montaut, Louis, Lidec, Quentin Le

Table of Contents: “… algorithms to account for both compliant and rigid contact interfaces in a unified way. To handle ill…”
Get full text

Improving Adversarial Robustness via Decoupled Visual Representation Masking by Liu, Decheng, Chen, Tao, Peng, Chunlei, Wang, Nannan, Hu, Ruimin, Gao, Xinbo

Table of Contents: “…, and adversarial defense algorithms draw more and more attention nowadays. Pre-processing based defense is a major…”
Get full text

M${}^2$NuFFT: A Computationally Efficient Suboptimal Power Spectrum Estimator for Fast Exploration of Nonuniformly Sampled Time Series by Cui, Jie, Brinkmann, Benjamin H., Worrell, Gregory A.

Table of Contents: “… reduces computational burden while maintaining statistical efficiency. The algorithm partitions the signal…”
Get full text

The Chandra Source Catalog Release 2 Series by Evans, Ian N., Evans, Janet D., Martínez-Galarza, J. Rafael, Miller, Joseph B., Primini, Francis A., Azadi, Mojegan, Burke, Douglas J., Civano, Francesca M., D'Abrusco, Raffaele, Fabbiano, Giuseppina, Graessle, Dale E., Grier, John D., Houck, John C., Lauer, Jennifer, McCollough, Michael L., Nowak, Michael A., Plummer, David A., Rots, Arnold H., Siemiginowska, Aneta, Tibbetts, Michael S.

Table of Contents: “… source samples. We discuss in detail the algorithms used for the CSC Release 2 Series, including CSC 2.0…”
Get full text

On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification by Prakash, Jatin, Buvanesh, Anirudh, Santra, Bishal, Saini, Deepak, Yadav, Sachin, Jiao, Jian, Prabhu, Yashoteja, Sharma, Amit, Varma, Manik

Table of Contents: “… document set. XC algorithms used in real-world applications learn this mapping from datasets curated from…”
Get full text

MADNESS Deblender: Maximum A posteriori with Deep NEural networks for Source Separation by Biswas, Biswajit, Aubourg, Eric, Boucaud, Alexandre, Guinot, Axel, Lao, Junpeng, Roucelle, Cécile, Collaboration, the LSST Dark Energy Science

Table of Contents: “… residual systematic effect. Deblending algorithms tackle this issue by reconstructing the isolated…”
Get full text

HybridFlow: A Flexible and Efficient RLHF Framework by Sheng, Guangming, Zhang, Chi, Ye, Zilingfeng, Wu, Xibin, Zhang, Wang, Zhang, Ru, Peng, Yanghua, Lin, Haibin, Wu, Chuan

Table of Contents: “…, allowing efficient operation orchestration to implement RLHF algorithms and flexible mapping…”
Get full text

Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification by Luo, Yihong, Chen, Yuhan, Qiu, Siya, Wang, Yiwei, Zhang, Chen, Zhou, Yan, Cao, Xiaochun, Tang, Jing

Table of Contents: “… to the base optimizer (e.g., Adam). To mitigate this drawback, we introduce a novel algorithm, Fast Graph…”
Get full text

Layered LA-MAPF: a decomposition of large agent MAPF instance to accelerate solving without compromising solvability by Yao, Zhuo

Table of Contents: “… MAPF algorithms assume that an agent occupies only a single grid in a grid-based map. This assumption…”
Get full text

GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks by Liang, Ruihuai, Yang, Bo, Chen, Pengyu, Cao, Xuelin, Yu, Zhiwen, Debbah, Mérouane, Niyato, Dusit, Poor, H. Vincent, Yuen, Chau

Table of Contents: “… training datasets. The MSCO datasets has open-sourced at this http URL, as well as the GDSG algorithm codes…”
Get full text