Risultati della ricerca - coding ((algorithmics OR (algorithm OR algorithm)) OR (algorithm OR algorithmssics))

Contextualized Autonomous Drone Navigation using LLMs Deployed in Edge-Cloud Computing di Chen, Hongqian, Tang, Yun, Tsourdos, Antonios, Guo, Weisi

Sommario: “.... The research is to deploy Large Language Models (LLMs) to perform real-time contextual code adjustment...”
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Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation di Su, Ye, Qiao, Hezhe, Wu, Di, Chen, Yuwen, Chen, Lin

Sommario: “.... Subsequently, we employ an Expectation-Maximization (EM) algorithm to improve robustness in managing data...”
Testo

RaanA: A Fast, Flexible, and Data-Efficient Post-Training Quantization Algorithm di Yang, Yongyi, Gao, Jianyang, Hu, Wei

Sommario: “... for fast, accurate, and highly efficient quantization; and 2) AllocateBits, an algorithm that optimally...”
Testo

Post-Quantum Wireless-based Key Encapsulation Mechanism via CRYSTALS-Kyber for Resource-Constrained Devices di de la Torre, M. A. González, Sandoval, I. A. Morales, de Abreu, Giuseppe Thadeu Freitas, Encinas, L. Hernández

Sommario: “... Quadrature Amplitude Modulation constellation and a BCH-code to communicate CRYSTALSKyber's polynomial...”
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Multi-Sense Embeddings for Language Models and Knowledge Distillation di Wang, Qitong, Zaki, Mohammed J., Kollias, Georgios, Kalantzis, Vasileios

Sommario: “.... To construct a sense embedding dictionary, we apply a clustering algorithm to embeddings generated by an LLM...”
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How Can Objects Help Video-Language Understanding? di Tang, Zitian, Wang, Shijie, Cho, Junho, Yoo, Jaewook, Sun, Chen

Sommario: “... computer vision algorithm to extract and integrate structured visual representation. Through extensive...”
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Software Engineering Principles for Fairer Systems: Experiments with GroupCART di Peng, Kewen, Zhuo, Hao, Yang, Yicheng, Menzies, Tim

Sommario: “... predictive performance and fairness based on user requirements. These results demonstrate that algorithmic...”
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QLLM: Do We Really Need a Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning? di Li, Yuanjun, Jiang, Zhouyang, Zhang, Bin, Zhang, Mingchao, Zhao, Junhao, Xu, Zhiwei

Sommario: “... coder-evaluator framework is employed to ensure the correctness and executability of the generated code...”
Testo

NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results di Safonov, Nikolay, Bryncev, Alexey, Moskalenko, Andrey, Kulikov, Dmitry, Vatolin, Dmitry, Timofte, Radu, Lei, Haibo, Gao, Qifan, Luo, Qing, Li, Yaqing, Song, Jie, Hao, Shaozhe, Zheng, Meisong, Xu, Jingyi, Wu, Chengbin, Liu, Jiahui, Chen, Ying, Deng, Xin, Xu, Mai, Liang, Peipei, Ma, Jie, Jin, Junjie, Pang, Yingxue, Luo, Fangzhou, Chen, Kai, Zhao, Shijie, Wu, Mingyang, Li, Renjie, Zuo, Yushen, Zhong, Shengyun, Tu, Zhengzhong

Sommario: “... of the participants was to develop an algorithm capable of improving the visual quality of such videos. Given...”
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An Optimization Framework for Wide-Field Small Aperture Telescope Arrays Used in Sky Surveys di Xiang, Wennan, Jia, Peng, Li, Zhengyang, Liu, Jifeng, Ying, Zhenyu, Bai, Zeyu

Sommario: “..., and an optimization algorithm, to balance the observation capabilities and the cost of optical telescope arrays...”
Testo

HyGenar: An LLM-Driven Hybrid Genetic Algorithm for Few-Shot Grammar Generation di Tang, Weizhi, Li, Yixuan, Sypherd, Chris, Polgreen, Elizabeth, Belle, Vaishak

Sommario: “...Grammar plays a critical role in natural language processing and text/code generation by enabling...”
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Rethinking Direct Preference Optimization in Diffusion Models di Kang, Junyong, Lim, Seohyun, Baek, Kyungjune, Shim, Hyunjung

Sommario: “... problem across timesteps. Our method can be integrated into various preference optimization algorithms...”
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BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL di Hung, Yu-Heng, Lin, Kai-Jie, Lin, Yu-Heng, Wang, Chien-Yi, Sun, Cheng, Hsieh, Ping-Chun

Sommario: “... algorithms in various synthetic MOBO and real-world multi-objective hyperparameter optimization problems. We...”
Testo

Joint Data Hiding and Partial Encryption of Compressive Sensed Streams di Popa, Cristina-Elena, Damian, Cristian, Coltuc, Daniela

Sommario: “... in protecting part of the measurements by a secret key and inserting the code into the rest. The secret key...”
Testo

To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers di Plaud, Roman, Perez-Lebel, Alexandre, Labeau, Matthieu, Saillenfest, Antoine, Bonald, Thomas

Sommario: “... algorithms when candidates are limited to the set of nodes. In the most general case of predicting a subset...”
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The Impact of Feature Scaling In Machine Learning: Effects on Regression and Classification Tasks di Pinheiro, João Manoel Herrera, de Oliveira, Suzana Vilas Boas, Silva, Thiago Henrique Segreto, Saraiva, Pedro Antonio Rabelo, de Souza, Enzo Ferreira, Godoy, Ricardo V., Ambrosio, Leonardo André, Becker, Marcelo

Sommario: “... different Machine Learning algorithms and 16 datasets for classification and regression tasks. We...”
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The Diffusion Duality di Sahoo, Subham Sekhar, Deschenaux, Justin, Gokaslan, Aaron, Wang, Guanghan, Chiu, Justin, Kuleshov, Volodymyr

Sommario: “... distillation from the continuous to the discrete setting. This algorithm unlocks few-step generation...”
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An efficient construction of Raz's two-source randomness extractor with improved parameters di Foreman, Cameron, Wooltorton, Lewis, Milner, Kevin, Curchod, Florian J.

Sommario: “...Randomness extractors are algorithms that distill weak random sources into near-perfect random...”
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Structured First-Layer Initialization Pre-Training Techniques to Accelerate Training Process Based on $\varepsilon$-Rank di Tang, Tao, Yang, Jiang, Zhao, Yuxiang, Zhu, Quanhui

Sommario: “... only need to add one line of code to conventional existing algorithms. ...”
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An open dataset of neural networks for hypernetwork research di Kurtenbach, David, Shamir, Lior

Sommario: “... by supervised machine learning algorithms. The ultimate purpose of the dataset is to enable hypernetworks...”
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