Risultati della ricerca - decoding ((algorithmics OR Algorithmsssics) OR (algorithm OR (algorithm OR algorithm)))

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention di Yuan, Jingyang, Gao, Huazuo, Dai, Damai, Luo, Junyu, Zhao, Liang, Zhang, Zhengyan, Xie, Zhenda, Wei, Y. X., Wang, Lean, Xiao, Zhiping, Wang, Yuqing, Ruan, Chong, Zhang, Ming, Liang, Wenfeng, Zeng, Wangding

Sommario: “... NSA, a Natively trainable Sparse Attention mechanism that integrates algorithmic innovations...”
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SPEX: Scaling Feature Interaction Explanations for LLMs di Kang, Justin Singh, Butler, Landon, Agarwal, Abhineet, Erginbas, Yigit Efe, Pedarsani, Ramtin, Ramchandran, Kannan, Yu, Bin

Sommario: “... channel decoding algorithm to efficiently identify important interactions. We perform experiments across...”
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SparseMamba-PCL: Scribble-Supervised Medical Image Segmentation via SAM-Guided Progressive Collaborative Learning di Qiu, Luyi, Till, Tristan, Guo, Xiaobao, Kong, Adams Wai-Kin

Sommario: “... Learning framework that leverages novel algorithms and the Med-SAM foundation model to enhance information...”
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ARMOR: Empowering Multimodal Understanding Model with Interleaved Multimodal Generation Capability di Sun, Jianwen, Feng, Yukang, Li, Chuanhao, Zhang, Fanrui, Li, Zizhen, Ai, Jiaxin, Zhou, Sizhuo, Dai, Yu, Zhang, Shenglin, Zhang, Kaipeng

Sommario: “... encoder-decoder architecture with a forward-switching mechanism is introduced to unify embedding space...”
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SWIPT in Cell-Free Massive MIMO Using Stacked Intelligent Metasurfaces di Hua, Thien Duc, Mohammadi, Mohammadali, Ngo, Hien Quoc, Matthaiou, Michail

Sommario: “...-decoding receivers (IRs) and the average sum of harvested energy (sum-HE) at the energy-harvesting...”
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StainPIDR: A Pathological Image Decouplingand Reconstruction Method for Stain Normalization Based on Color Vector Quantization and Structure Restaining di Chen, Zheng

Sommario: “... color features, and decoding the stained structure features to normalized pathological images. We assume...”
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GRACE: Designing Generative Face Video Codec via Agile Hardware-Centric Workflow di Wan, Rui, Zheng, Qi, Zhang, Ruoyu, Chen, Bu, Liu, Jiaming, Li, Min, Jing, Minge, Zhou, Jinjia, Fan, Yibo

Sommario: “... compression. However, deploying its intricate decoder on resource and power-constrained edge devices presents...”
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Differentiable Filtering for Learning Hidden Markov Models di Chen, Reginald Zhiyan, Chang, Heng-Sheng, Mehta, Prashant G.

Sommario: “... their parameters from observations remains challenging. Classical methods like the Baum-Welch algorithm...”
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Structure Theorems (and Fast Algorithms) for List Recovery of Subspace-Design Codes di Goyal, Rohan, Guruswami, Venkatesan

Sommario: “... that is also polynomial in $1/ε$. In contrast to such limitations, we show, extending algorithmic advances...”
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In-situ benchmarking of fault-tolerant quantum circuits. I. Clifford circuits di Xiao, Xiao, Hangleiter, Dominik, Bluvstein, Dolev, Lukin, Mikhail D., Gullans, Michael J.

Sommario: “...Benchmarking physical devices and verifying logical algorithms are important tasks for scalable...”
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Accelerating De Novo Genome Assembly via Quantum-Assisted Graph Optimization with Bitstring Recovery di Pamidimukkala, Jaya Vasavi, Sahu, Himanshu, Kannan, Ashwini, Ananthanarayanan, Janani, Dasgupta, Kalyan, Senapati, Sanjib

Sommario: “...Genome sequencing is essential to decode genetic information, identify organisms, understand...”
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Quantized Precoding for Maximizing Sum Rate in MU-MIMO Systems with Constrained Fronthaul di Khorsandmanesh, Yasaman, Kosasih, Alva, Björnson, Emil, Jaldén, Joakim

Sommario: “... is reformulated as an integer least-squares problem and solved using a novel sphere decoding (SD) algorithm...”
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AWPD: Frequency Shield Network for Agnostic Watermark Presence Detection di Ao, Xiang, Du, Yilin, Wang, Zidan, Chen, Mengru, Lu, Siyang

Sommario: “... detection heavily relies on prior knowledge of specific algorithms, leading to limited detection...”
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Accelerating Robot Path Planning via Connectivity-Preserving Region Proposal Network di Ma, Zhanzheng, Zhao, Cancan, Zhang, Shuai, Ouyang, Bo

Sommario: “... in latency in samplingbased algorithms. Learning-based approaches frequently suffer from local region...”
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Holographic communication using programmable coding metasurface di Fan Zhang, Chaohui Wang, Weike Feng, Tong Liu, Zhengjie Wang, Yanzhao Wang, Mingzhao Wang, He‐Xiu Xu

Sommario: “... after decoding through modified Gerchberg–Saxton algorithm. Experiments are conducted to demonstrate...”
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Guessing Random Additive Noise Decoding of Network Coded Data Transmitted over Burst Error Channels di Chatzigeorgiou, Ioannis, Savostyanov, Dmitry

Sommario: “... packets. A receiver employing network decoding recovers the data packets if a sufficient number of error...”
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Rethinking Light Decoder-based Solvers for Vehicle Routing Problems di Huang, Ziwei, Zhou, Jianan, Cao, Zhiguang, Xu, Yixin

Sommario: “...Light decoder-based solvers have gained popularity for solving vehicle routing problems (VRPs) due...”
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Construction and Decoding of Quantum Margulis Codes di Pacenti, Michele, Chytas, Dimitris, Vasic, Bane

Sommario: “... computation, offering potential advantages in rate and decoding efficiency. In this work, we introduce quantum...”
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Large Language Model Partitioning for Low-Latency Inference at the Edge di Kafetzis, Dimitrios, Khalili, Ramin, Koutsopoulos, Iordanis

Sommario: “...Large Language Models (LLMs) based on autoregressive, decoder-only Transformers generate text one...”
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MiniCPM4: Ultra-Efficient LLMs on End Devices di MiniCPM Team, Xiao, Chaojun, Li, Yuxuan, Han, Xu, Bai, Yuzhuo, Cai, Jie, Chen, Haotian, Chen, Wentong, Cong, Xin, Cui, Ganqu, Ding, Ning, Fan, Shengda, Fang, Yewei, Fu, Zixuan, Guan, Wenyu, Guan, Yitong, Guo, Junshao, Han, Yufeng, He, Bingxiang, Huang, Yuxiang, Ji, Baoxi, Kong, Cunliang, Li, Qiuzuo, Li, Siyuan, Li, Wenhao, Li, Xin, Li, Yanghao, Li, Yishan, Li, Zhen, Liu, Dan, Lin, Biyuan, Lin, Yankai, Long, Xiang, Lu, Quanyu, Lu, Yaxi, Luo, Peiyan, Lyu, Hongya, Ou, Litu, Pan, Yinxu, Pu, Lushi, Qu, Zekai, Shi, Qundong, Song, Zijun, Su, Jiayuan, Su, Zhou, Sun, Ao, Sun, Xianghui, Tang, Peijun, Wang, Fangzheng, Wang, Feng, Wang, Shuo, Wang, Yudong, Wang, Zheng, Wu, Yesai, Xiao, Zhenyu, Xie, Jie, Xie, Zihao, Xu, Xiaoyue, Yan, Yukun, Yuan, Jiarui, Zhang, Jinqian, Zhang, Kaihuo, Zhang, Lei, Zhang, Linyue, Zhang, Xueren, Zhang, Yudi, Zhao, Hengyu, Zhao, Weilin, Zhao, Weilun, Zhao, Yuanqian, Zheng, Zhi, Zhou, Chuyue, Zhou, Ge, Zhou, Jie, Zhou, Wei, Zhou, Yanghao, Zhou, Zihan, Zhou, Zixuan, Liu, Zhiyuan, Zeng, Guoyang, Jia, Chao, Li, Dahai, Sun, Maosong

Sommario: “...: model architecture, training data, training algorithms, and inference systems. Specifically, in terms...”
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