Search Results - coding (algorithmics OR (algorithmics OR (algorithm OR Algorithmsssssics)))

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…”
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DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference by Yao, Jinwei, Chen, Kaiqi, Zhang, Kexun, You, Jiaxuan, Yuan, Binhang, Wang, Zeke, Lin, Tao

Table of Contents: “… three practical tree-based workloads compared to state-of-the-art attention algorithms. Our code…”
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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…”
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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…”
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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…”
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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…”
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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…”
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Decoding-Time Language Model Alignment with Multiple Objectives by Shi, Ruizhe, Chen, Yifang, Hu, Yushi, Liu, Alisa, Hajishirzi, Hannaneh, Smith, Noah A., Du, Simon S.

Table of Contents: “…-objective decoding (MOD)}$, a decoding-time algorithm that outputs the next token from a linear combination…”
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M${}^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…”
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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…”
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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…”
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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…”
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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…”
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Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding by Teng, Yao, Shi, Han, Liu, Xian, Ning, Xuefei, Dai, Guohao, Wang, Yu, Li, Zhenguo, Liu, Xihui

Table of Contents: “… in substantial time consumption. In existing studies, Jacobi decoding, an iterative parallel decoding algorithm…”
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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…”
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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…”
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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…”
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Natural Language Fine-Tuning by Liu, Jia, Wang, Yue, Lin, Zhiqi, Chen, Min, Hao, Yixue, Hu, Long

Table of Contents: “… reinforcement fine-tuning algorithms in accuracy, time-saving, and resource conservation. Additionally…”
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SEDD: Scalable and Efficient Dataset Deduplication with GPUs by Son, Youngjun, Kim, Chaewon, Lee, Jaejin

Table of Contents: “… is the MinHash Locality-Sensitive Hashing (LSH) algorithm. Recently, GPU-accelerated frameworks such as NVIDIA…”
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Fast and Accurate Identification of Hardware Trojan Locations in Gate-Level Netlist using Nearest Neighbour Approach integrated with Machine Learning Technique by Chattopadhyay, Anindita, Bisariya, Siddharth, Sutrakar, Vijay Kumar

Table of Contents: “…. By focusing on path retrace algorithms. The methodology is validated across three distinct cases, each…”
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