Risultati della ricerca - coding ((algorithmicsicsics OR (algorithm OR algorithm)) OR (algorithm OR algorithm))

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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Scenario-Based Robust Optimization of Tree Structures di Angelopoulos, Spyros, Dürr, Christoph, Elenter, Alex, Melidi, Georgii

Sommario: “.... Specifically, we study Binary Search Trees (BSTs) and Huffman coding, two fundamental techniques...”
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SoundSignature: What Type of Music Do You Like? di Carone, Brandon James, Ripollés, Pablo

Sommario: “... recognition algorithm (CREMA), a source separation algorithm (DEMUCS), and an audio-to-MIDI converter (basic...”
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Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training di Cunegatti, Elia, Custode, Leonardo Lucio, Iacca, Giovanni

Sommario: “...Network pruning focuses on algorithms that aim to reduce a given model's computational cost...”
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Nuclear correlation functions using first-principle calculations of lattice quantum chromodynamics di Chakraborty, Debsubhra, Srivastava, Piyush, Kumar, Arpith, Mathur, Nilmani

Sommario: “... randomized algorithms inspired from computational number theory to detect and eliminate redundancies...”
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BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT di Ju, Zehao, Wei, Tongquan, Shen, Fuke

Sommario: “... Programming (SLSQP) algorithm for the rational allocation of communication resources. Based on this, we...”
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SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation di Kerdabadi, Mohsen Nayebi, Moghaddam, Arya Hadizadeh, Liu, Bin, Liu, Mei, Yao, Zijun

Sommario: “.... We specifically develop a greedy algorithm to manipulate medical codes with various adversarial...”
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A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes di Wang, Qingmei, Wu, Yuxin, Long, Yujie, Huang, Jing, Ran, Fengyuan, Su, Bing, Xu, Hongteng

Sommario: “... events. In this study, we design a new plug-and-play module based on the Bregman ADMM (BADMM) algorithm...”
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