Résultats de la recherche - (endedecoding OR (endedededededededededededededededededededededecoding OR decoding)) algorithm

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

Table des matières: “… 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 par Sunil Kumar Shah, Raghavendra Sharma, Neeraj Shukla

Table des matières: “…, 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 par Feng, Xidong, Wan, Ziyu, Wen, Muning, McAleer, Stephen Marcus, Wen, Ying, Zhang, Weinan, Wang, Jun

Table des matières: “… 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 par Abdelaleem, Eslam, Nemenman, Ilya, Martini, K. Michael

Table des matières: “… 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 par Du, Long-Kun, Hu, Chenyu, Liu, Shuang, Deng, Chenjin, Wang, Chaoran, Bo, Zunwang, Chen, Mingliang, Liu, Wei-Tao, Han, Shensheng

Table des matières: “… 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 par Kögler, Kevin, Shevchenko, Alexander, Hassani, Hamed, Mondelli, Marco

Table des matières: “…. 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 par Sun, Yi, Shen, Hong, Li, Bingqing, Xu, Wei, Zhu, Pengcheng, Hu, Nan, Zhao, Chunming

Table des matières: “…, 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 par Tian, Wenzhe, Zeng, Haijin, Zhao, Yin-Ping, Chen, Yongyong, Wang, Zhen, Li, Xuelong

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

Table des matières: “… 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 par Wu, Zheshun, Li, Junfan, Xu, Zenglin, Sun, Sumei, Liu, Jie

Table des matières: “… 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 par Chen, Bolin, Yin, Shanzhi, Zhang, Zihan, Chen, Jie, Liao, Ru-Ling, Zhu, Lingyu, Wang, Shiqi, Ye, Yan

Table des matières: “… 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 par Rozenfeld, Vadim, Raphaeli, Dan, Bialer, Oded

Table des matières: “…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 par 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

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

Table des matières: “… 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 par Qiu, Luyi, Till, Tristan, Guo, Xiaobao, Kong, Adams Wai-Kin

Table des matières: “… 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 par Sun, Jianwen, Feng, Yukang, Li, Chuanhao, Zhang, Fanrui, Li, Zizhen, Ai, Jiaxin, Zhou, Sizhuo, Dai, Yu, Zhang, Shenglin, Zhang, Kaipeng

Table des matières: “… 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 par Hua, Thien Duc, Mohammadi, Mohammadali, Ngo, Hien Quoc, Matthaiou, Michail

Table des matières: “…-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 par Chen, Zheng

Table des matières: “… 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 par Wan, Rui, Zheng, Qi, Zhang, Ruoyu, Chen, Bu, Liu, Jiaming, Li, Min, Jing, Minge, Zhou, Jinjia, Fan, Yibo

Table des matières: “… 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 par Chen, Reginald Zhiyan, Chang, Heng-Sheng, Mehta, Prashant G.

Table des matières: “… their parameters from observations remains challenging. Classical methods like the Baum-Welch algorithm…”
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