Resultados de búsqueda - decoding (Algorithmsssic OR algorithm)

Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving por Zhao, Zihan, Lu, Baotong, Lin, Shengjie, Chen, Yizou, Liu, Jing, Zhang, Yanqi, Miao, Ziming, Yang, Ming-Chang, Shen, Haiying, Chen, Qi, Yang, Fan

Tabla de Contenidos: “… per decoding step and extending the KV storage to CPU memory. In practice, however, these algorithmic…”
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Adaptive Entropy Lightweight Encryption Estimate for Software Defined Network to Mitigate Data Security Threats in Smart Cities por Sunil Kumar Shah, Raghavendra Sharma, Neeraj Shukla

Tabla de Contenidos: “…, with lightweight algorithms posing limitations due to their lack of high avalanche effects. Thus, a novel Adaptive…”
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Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training por Feng, Xidong, Wan, Ziyu, Wen, Muning, McAleer, Stephen Marcus, Wen, Ying, Zhang, Weinan, Wang, Jun

Tabla de Contenidos: “… the reasoning capabilities of LLMs by using tree-search algorithms to guide multi-step reasoning. These methods…”
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Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses por Abdelaleem, Eslam, Nemenman, Ilya, Martini, K. Michael

Tabla de Contenidos: “… that in a decoder graph (defining a generative model for data). Using this approach, we rederive existing…”
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Bayesian Recursive Information Optical Imaging: A Ghost Imaging Scheme Based on Bayesian Filtering por Du, Long-Kun, Hu, Chenyu, Liu, Shuang, Deng, Chenjin, Wang, Chaoran, Bo, Zunwang, Chen, Mingliang, Liu, Wei-Tao, Han, Shensheng

Tabla de Contenidos: “… in an encoded form and subsequently decoded via processing algorithms, which is quite in line…”
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Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth por Kögler, Kevin, Shevchenko, Alexander, Hassani, Hamed, Mondelli, Marco

Tabla de Contenidos: “…. Namely, the performance of the algorithm is the same as if it was compressing a Gaussian source…”
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Trainable Joint Channel Estimation, Detection and Decoding for MIMO URLLC Systems por Sun, Yi, Shen, Hong, Li, Bingqing, Xu, Wei, Zhu, Pengcheng, Hu, Nan, Zhao, Chunming

Tabla de Contenidos: “…, and decoding (JCDD) for MIMO URLLC systems encoded by short low-density parity-check (LDPC) codes. Specifically…”
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Cross-Scan Mamba with Masked Training for Robust Spectral Imaging por Tian, Wenzhe, Zeng, Haijin, Zhao, Yin-Ping, Chen, Yongyong, Wang, Zhen, Li, Xuelong

Tabla de Contenidos: “…Snapshot Compressive Imaging (SCI) enables fast spectral imaging but requires effective decoding…”
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First Order Stochastic Optimization with Oblivious Noise por Diakonikolas, Ilias, Karmalkar, Sushrut, Park, Jongho, Tzamos, Christos

Tabla de Contenidos: “… of inliers $α$ is less than $1/2$. Our main result is an efficient list-decodable learner that recovers a…”
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Online Optimization for Learning to Communicate over Time-Correlated Channels por Wu, Zheshun, Li, Junfan, Xu, Zenglin, Sun, Sumei, Liu, Jie

Tabla de Contenidos: “… on two specific tasks: optimizing channel decoders for time-correlated fading channels and selecting…”
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Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual Tokens por Chen, Bolin, Yin, Shanzhi, Zhang, Zihan, Chen, Jie, Liao, Ru-Ling, Zhu, Lingyu, Wang, Shiqi, Ye, Yan

Tabla de Contenidos: “… communication. However, these GFVC algorithms are sometimes faced with unstable reconstruction quality…”
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Enhancing LMMSE Performance with Modest Complexity Increase via Neural Network Equalizers por Rozenfeld, Vadim, Raphaeli, Dan, Bialer, Oded

Tabla de Contenidos: “…The BCJR algorithm is renowned for its optimal equalization, minimizing bit error rate (BER) over…”
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Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention por 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

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

Tabla de Contenidos: “… 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 por Qiu, Luyi, Till, Tristan, Guo, Xiaobao, Kong, Adams Wai-Kin

Tabla de Contenidos: “… 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 por Sun, Jianwen, Feng, Yukang, Li, Chuanhao, Zhang, Fanrui, Li, Zizhen, Ai, Jiaxin, Zhou, Sizhuo, Dai, Yu, Zhang, Shenglin, Zhang, Kaipeng

Tabla de Contenidos: “… 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 por Hua, Thien Duc, Mohammadi, Mohammadali, Ngo, Hien Quoc, Matthaiou, Michail

Tabla de Contenidos: “…-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 por Chen, Zheng

Tabla de Contenidos: “… 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 por Wan, Rui, Zheng, Qi, Zhang, Ruoyu, Chen, Bu, Liu, Jiaming, Li, Min, Jing, Minge, Zhou, Jinjia, Fan, Yibo

Tabla de Contenidos: “… 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 por Chen, Reginald Zhiyan, Chang, Heng-Sheng, Mehta, Prashant G.

Tabla de Contenidos: “… their parameters from observations remains challenging. Classical methods like the Baum-Welch algorithm…”
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