Suchergebnisse - decoding (algorithmicsics OR (algorithm OR Algorithmsssic))

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

Inhaltsangabe: “… 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 von Sunil Kumar Shah, Raghavendra Sharma, Neeraj Shukla

Inhaltsangabe: “… , 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 von Feng, Xidong, Wan, Ziyu, Wen, Muning, McAleer, Stephen Marcus, Wen, Ying, Zhang, Weinan, Wang, Jun

Inhaltsangabe: “… 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 von Abdelaleem, Eslam, Nemenman, Ilya, Martini, K. Michael

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

Inhaltsangabe: “… 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 von Kögler, Kevin, Shevchenko, Alexander, Hassani, Hamed, Mondelli, Marco

Inhaltsangabe: “… . 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 von Sun, Yi, Shen, Hong, Li, Bingqing, Xu, Wei, Zhu, Pengcheng, Hu, Nan, Zhao, Chunming

Inhaltsangabe: “… , 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 von Tian, Wenzhe, Zeng, Haijin, Zhao, Yin-Ping, Chen, Yongyong, Wang, Zhen, Li, Xuelong

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

Inhaltsangabe: “… 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 von Wu, Zheshun, Li, Junfan, Xu, Zenglin, Sun, Sumei, Liu, Jie

Inhaltsangabe: “… 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 von Chen, Bolin, Yin, Shanzhi, Zhang, Zihan, Chen, Jie, Liao, Ru-Ling, Zhu, Lingyu, Wang, Shiqi, Ye, Yan

Inhaltsangabe: “… 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 von Rozenfeld, Vadim, Raphaeli, Dan, Bialer, Oded

Inhaltsangabe: “… 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 von 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

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

Inhaltsangabe: “… 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 von Qiu, Luyi, Till, Tristan, Guo, Xiaobao, Kong, Adams Wai-Kin

Inhaltsangabe: “… 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 von Sun, Jianwen, Feng, Yukang, Li, Chuanhao, Zhang, Fanrui, Li, Zizhen, Ai, Jiaxin, Zhou, Sizhuo, Dai, Yu, Zhang, Shenglin, Zhang, Kaipeng

Inhaltsangabe: “… 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 von Hua, Thien Duc, Mohammadi, Mohammadali, Ngo, Hien Quoc, Matthaiou, Michail

Inhaltsangabe: “… -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 von Chen, Zheng

Inhaltsangabe: “… 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 von Wan, Rui, Zheng, Qi, Zhang, Ruoyu, Chen, Bu, Liu, Jiaming, Li, Min, Jing, Minge, Zhou, Jinjia, Fan, Yibo

Inhaltsangabe: “… 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 von Chen, Reginald Zhiyan, Chang, Heng-Sheng, Mehta, Prashant G.

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