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

Guessing Random Additive Noise Decoding of Network Coded Data Transmitted over Burst Error Channels di Chatzigeorgiou, Ioannis, Savostyanov, Dmitry

Sommario: “...We consider a transmitter that encodes data packets using network coding and broadcasts coded...”
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SINR: Sparsity Driven Compressed Implicit Neural Representations di Jayasundara, Dhananjaya, Rajagopalan, Sudarshan, Ranasinghe, Yasiru, Tran, Trac D., Patel, Vishal M.

Sommario: “... coding schemes employed. In this paper, we introduce SINR, an innovative compression algorithm...”
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Action-List Reinforcement Learning Syndrome Decoding for Binary Linear Block Codes di Taghipour, Milad, Vasic, Bane

Sommario: “... of decoding of linear block codes based on flipping bits and finding optimal decisions. We describe...”
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A Survey on Code Generation with LLM-based Agents di Dong, Yihong, Jiang, Xue, Qian, Jiaru, Wang, Tian, Zhang, Kechi, Jin, Zhi, Li, Ge

Sommario: “... development paradigm. Distinct from previous code generation techniques, code generation agents...”
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Integrated Sensing and Semantic Communication with Adaptive Source-Channel Coding di Wang, Haotian, Wang, Dan, Xu, Xiaodong, Huang, Chuan, Chen, Hao, Ma, Nan

Sommario: “... framework for both the SemCom and sensing tasks. This paper proposes an adaptive source-channel coding...”
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CodeCircuit: Toward Inferring LLM-Generated Code Correctness via Attribution Graphs di He, Yicheng, Zhao, Zheng, Kaiyu, Zhou, Dai, Bryan, Fu, Jie, Yang, Yonghui

Sommario: “... code verification as a mechanistic diagnostic task, mapping the model's explicit algorithmic trajectory...”
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Using Logs to support Programming Education di Nascimento, Gilmar Gomes do, Emer, Maria Claudia F. P, Neto, Adolfo Gustavo Serra Seca, Bastos, Laudelino Cordeiro

Sommario: “...Software developers use metrics to evaluate code quality and productivity, but these practices...”
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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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