Search Results - decoding (algorithm OR Algorithmsssic)

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

Table of Contents: “… 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 by Sunil Kumar Shah, Raghavendra Sharma, Neeraj Shukla

Table of Contents: “…, 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 by Feng, Xidong, Wan, Ziyu, Wen, Muning, McAleer, Stephen Marcus, Wen, Ying, Zhang, Weinan, Wang, Jun

Table of Contents: “… 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 by Abdelaleem, Eslam, Nemenman, Ilya, Martini, K. Michael

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

Table of Contents: “… 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 by Kögler, Kevin, Shevchenko, Alexander, Hassani, Hamed, Mondelli, Marco

Table of Contents: “…. 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 by Sun, Yi, Shen, Hong, Li, Bingqing, Xu, Wei, Zhu, Pengcheng, Hu, Nan, Zhao, Chunming

Table of Contents: “…, 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 by Tian, Wenzhe, Zeng, Haijin, Zhao, Yin-Ping, Chen, Yongyong, Wang, Zhen, Li, Xuelong

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

Table of Contents: “… 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 by Wu, Zheshun, Li, Junfan, Xu, Zenglin, Sun, Sumei, Liu, Jie

Table of Contents: “… 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 by Chen, Bolin, Yin, Shanzhi, Zhang, Zihan, Chen, Jie, Liao, Ru-Ling, Zhu, Lingyu, Wang, Shiqi, Ye, Yan

Table of Contents: “… 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 by Rozenfeld, Vadim, Raphaeli, Dan, Bialer, Oded

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

Table of Contents: “… 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 by Qiu, Luyi, Till, Tristan, Guo, Xiaobao, Kong, Adams Wai-Kin

Table of Contents: “… 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 by Sun, Jianwen, Feng, Yukang, Li, Chuanhao, Zhang, Fanrui, Li, Zizhen, Ai, Jiaxin, Zhou, Sizhuo, Dai, Yu, Zhang, Shenglin, Zhang, Kaipeng

Table of Contents: “… 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 by Hua, Thien Duc, Mohammadi, Mohammadali, Ngo, Hien Quoc, Matthaiou, Michail

Table of Contents: “…-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 by Chen, Zheng

Table of Contents: “… 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 by Wan, Rui, Zheng, Qi, Zhang, Ruoyu, Chen, Bu, Liu, Jiaming, Li, Min, Jing, Minge, Zhou, Jinjia, Fan, Yibo

Table of Contents: “… 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 by Chen, Reginald Zhiyan, Chang, Heng-Sheng, Mehta, Prashant G.

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