Risultati della ricerca - coding (algorithmics OR ((algorithm OR (algorithmssic OR algorithmsssic)) OR algorithmics))

Unveiling Code Clones in Quantum Programming: An Empirical Study with Qiskit di Manoku, Kenta, Zhao, Jianjun

Sommario: “...Code clones, referring to identical or similar code fragments, have long posed challenges...”
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Quasi-cyclic Linear Error-Block Code-based Post-quantum Signature di Cherkaoui, I., Belabssir, S., Horgan, J., Dey, I.

Sommario: “...Shor algorithm led to the discovery of multiple vulnerabilities in a number of cryptosystems. As a...”
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Communication-Efficient Approximate Gradient Coding for Distributed Learning in Heterogeneous Systems di Song, Heekang, Choi, Wan

Sommario: “...We propose a communication-efficient optimally structured gradient coding scheme to jointly address...”
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Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey di Wang, Junqiao, Zhang, Zeng, He, Yangfan, Zhang, Zihao, Song, Xinyuan, Song, Yuyang, Shi, Tianyu, Li, Yuchen, Xu, Hengyuan, Wu, Kunyu, Yi, Xin, Wan, Zhongwei, Yuan, Xinhang, Wang, Zijun, Lu, Kuan, Huo, Menghao, Jingqun, Tang, Qian, Guangwu, Li, Keqin, Chen, Qiuwu, He, Lewei

Sommario: “... as a pivotal technique for code generation and optimization in various domains. This paper presents a...”
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Quantum Error Mitigation via Quantum-Noise-Effect Circuit Groups di Hama, Yusuke, Nishi, Hirofumi

Sommario: “... against quantum noise effects, namely, NISQ devices. Traditional quantum-error-correcting codes...”
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VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model di Chen, Tianyu, Li, Lin, Zhu, Liuchuan, Li, Zongyang, Liu, Xueqing, Liang, Guangtai, Wang, Qianxiang, Xie, Tao

Sommario: “...) and a local search algorithm. The local search algorithm is a novel postprocessing algorithm we...”
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AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI di Fan, Fanda, Luo, Chunjie, Gao, Wanling, Zhan, Jianfeng

Sommario: “... different state-of-the-art algorithms under equivalent conditions. We employ a novel text combiner and GPT-4...”
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Algorithm-hardware co-design for Energy-Efficient A/D conversion in ReRAM-based accelerators di Zhang, Chenguang, Yuan, Zhihang, Li, Xingchen, Sun, Guangyu

Sommario: “... an algorithm-hardware co-design method and explore the co-design approach in both hardware design...”
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OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning di Ye, Rui, Wang, Wenhao, Chai, Jingyi, Li, Dihan, Li, Zexi, Xu, Yinda, Du, Yaxin, Wang, Yanfeng, Chen, Siheng

Sommario: “... representative FL algorithms. Besides, OpenFedLLM supports training on diverse domains, where we cover 8 training...”
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Bayesian Learning for Double-RIS Aided ISAC Systems with Superimposed Pilots and Data di Gan, Xu, Huang, Chongwen, Yang, Zhaohui, Zhong, Caijun, Chen, Xiaoming, Zhang, Zhaoyang, Guo, Qinghua, Yuen, Chau, Debbah, Merouane

Sommario: “... algorithm for multiple users. This algorithm employs the unitary approximate message passing in the Bayesian...”
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Fairness Without Harm: An Influence-Guided Active Sampling Approach di Pang, Jinlong, Wang, Jialu, Zhu, Zhaowei, Yao, Yuanshun, Qian, Chen, Liu, Yang

Sommario: “.... Extensive experiments on real-world data demonstrate the effectiveness of our proposed algorithm. Our code...”
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Scalable and Interpretable Identification of Minimal Undesignable RNA Structure Motifs with Rotational Invariance di Zhou, Tianshuo, Tang, Wei Yu, Malik, Apoorv, Mathews, David H., Huang, Liang

Sommario: “... (un-)designability, and design scalable and interpretable algorithms to identify minimal undesignable...”
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Differentially Private Synthetic Data via Foundation Model APIs 2: Text di Xie, Chulin, Lin, Zinan, Backurs, Arturs, Gopi, Sivakanth, Yu, Da, Inan, Huseyin A, Nori, Harsha, Jiang, Haotian, Zhang, Huishuai, Lee, Yin Tat, Li, Bo, Yekhanin, Sergey

Sommario: “...Text data has become extremely valuable due to the emergence of machine learning algorithms...”
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Contrastive Learning on Multimodal Analysis of Electronic Health Records di Cai, Tianxi, Huang, Feiqing, Nakada, Ryumei, Zhang, Linjun, Zhou, Doudou

Sommario: “... structured data like clinical codes and unstructured data such as clinical notes. However, many existing EHR...”
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Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning di Liu, Zhihao, Yang, Xianliang, Liu, Zichuan, Xia, Yifan, Jiang, Wei, Zhang, Yuanyu, Li, Lijuan, Fan, Guoliang, Song, Lei, Jiang, Bian

Sommario: “... in the number of agents leads to a combinatorial explosion of the action space, which may result in algorithmic...”
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Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing di Zhao, Xinbo, Zhang, Yingxue, Zhang, Xin, Yang, Yu, Xie, Yiqun, Li, Yanhua, Luo, Jun

Sommario: “... task. Moreover, MODA develops a novel model-based multi-task offline RL algorithm. This algorithm...”
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Tree Search for Language Model Agents di Koh, Jing Yu, McAleer, Stephen, Fried, Daniel, Salakhutdinov, Ruslan

Sommario: “... this, we propose an inference-time search algorithm for LM agents to explicitly perform exploration...”
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FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification di Tian, Yu, Wen, Congcong, Shi, Min, Afzal, Muhammad Muneeb, Huang, Hao, Khan, Muhammad Osama, Luo, Yan, Fang, Yi, Wang, Mengyu

Sommario: “... systemic study into algorithmic fairness under domain shifts, employing state-of-the-art domain adaptation...”
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PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning di Hou, Sizai, Li, Songze, Jahani-Nezhad, Tayyebeh, Caire, Giuseppe

Sommario: “... update); and 2) partial privacy leakage for more complicated robust aggregation algorithms (e.g...”
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PlacidDreamer: Advancing Harmony in Text-to-3D Generation di Huang, Shuo, Sun, Shikun, Wang, Zixuan, Qin, Xiaoyu, Xiong, Yanmin, Zhang, Yuan, Wan, Pengfei, Zhang, Di, Jia, Jia

Sommario: “... to refine details with score distillation algorithms. However, these methods exhibit two limitations...”
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