Suchergebnisse - decoding ((algorithmics OR algorithm) OR (algorithm OR (algorithm OR algorithm)))

Machine Learning–Enhanced Fluorescence Cryptography with NADH ‐Responsive Polymer Dots von Zhengkun Zhan, Mingyue Gong, Zirui Zeng, Hangyu Liu, Xiaoliang Li, Zhuxin Dong, Xiaoju Men, Haobin Chen

Inhaltsangabe: “… by integrating machine learning algorithms, wherein encrypted messages are encoded via NADH‐triggered …”
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Machine learning prediction of flexural strength of high‐entropy carbides via feature‐engineered ensemble modeling von Cheng Fang, Wengang Zhang, Zhiyuan Sheng, Pian Wei, Jun Ma, Shun Dong

Inhaltsangabe: “… framework to decode composition–structure–property relationships. Six rigorously compared algorithms …”
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How Many Features Can a Language Model Store Under the Linear Representation Hypothesis? von Garg, Nikhil, Kleinberg, Jon, Peng, Kenny

Inhaltsangabe: “… = O(k\log (m/k))$ suffices if we allow non-linear decoding algorithms (Candes and Tao, 2006; Candes et …”
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Study of cognitive component of auditory attention to natural speech events von Nguyen, Nhan D. T., Mikkelsen, Kaare, Kidmose, Preben

Inhaltsangabe: “… attention decoding (AAD) methods is based on algorithms that find a relation between the audio envelope …”
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Large-Language-Model Enabled Semantic Communication Systems von Wang, Zhenyi, Zou, Li, Wei, Shengyun, Li, Kai, Liao, Feifan, Mi, Haibo, Lai, Rongxuan

Inhaltsangabe: “… framework, named LLM-SC, that applies LLMs directly to the physical layer coding and decoding for the first …”
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Decoding Imagined Movement in People with Multiple Sclerosis for Brain-Computer Interface Translation von Russo, John S., Shiels, Thomas A., Lin, Chin-Hsuan Sophie, John, Sam E., Grayden, David B.

Inhaltsangabe: “… on the current MS-BCI literature by highlighting the feasibility of decoding MS imagined movement. We collected …”
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Error Mitigation of Fault-Tolerant Quantum Circuits with Soft Information von Zhou, Zeyuan, Pexton, Shaun, Kubica, Aleksander, Ding, Yongshan

Inhaltsangabe: “… soft information naturally produced by QEC decoders, requiring no additional data, hardware …”
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Robust Single-shot Structured Light 3D Imaging via Neural Feature Decoding von Li, Jiaheng, Dai, Qiyu, Li, Lihan, Chakravarthula, Praneeth, Sun, He, Chen, Baoquan, Chen, Wenzheng

Inhaltsangabe: “… structured light methods typically decode depth correspondences through pixel-domain matching algorithms …”
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A Persistent-State Dataflow Accelerator for Memory-Bound Linear Attention Decode on FPGA von Gupta, Neelesh, Wang, Peter, Kannan, Rajgopal, Prasanna, Viktor K.

Inhaltsangabe: “… , not algorithmic, as all subquadratic sequence models exhibit arithmetic intensities below 1 FLOP/B at decode time …”
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Tackling the Data-Parallel Load Balancing Bottleneck in LLM Serving: Practical Online Routing at Scale von Bu, Tianci, Lyu, Yuan, Chen, Zixi, Song, Chendong, Liang, Hong, Gurung, Tsepten, Fan, Yuwei, Ye, Yinyu, Zhou, Zijie

Inhaltsangabe: “… ) and replicated across many DP workers, every decode step ends in a synchronization barrier whose latency is set …”
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RTP-LLM: High-Performance Alibaba LLM Inference Engine von Tan, Boyu, Guo, Jiarui, Lv, Zongwei, Sun, Hanbo, Yang, Tong, Liu, Kan, Shi, Xinfei, Hu, Zetao, Yu, Yaxin, Zhang, Chi, Zhang, Jianning, Yang, Xi, Zhang, Wei, Cai, Bo, Zhou, Silu, Wang, Xiyu, He, Na, Yu, Yinghao, Bao, Wending, Huang, Guiyang, Yuan, Yuxing, Yin, Juncheng, Wang, Nan, Yang, Lin, Zhang, Zechao, Chen, Lu, Li, Guoding, Lan, Tao, Qu, Lin

Inhaltsangabe: “… speculative decoding supporting multiple algorithms, adaptive KV cache quantization, and decoupled multimodal …”
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SuperFormer: Unet‐Like Super Token Transformer for Medical Image Segmentation von Wenshuai Zhang, Lei Wang, Pengcheng Dai, Zhiyao Liu, Juan Wang, Qun Liu

Inhaltsangabe: “… : SuperFormer.SuperFormer is a hierarchical encoder‐decoder network with two compelling designs: (1) It introduces the super …”
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Convolutional Neural Network‐Based CT Image Segmentation of Kidney Tumours von Cong Hu, Wenwen Jiang, Tian Zhou, Chunting Wan, Aijun Zhu

Inhaltsangabe: “… decision algorithm. Firstly, for the phenomenon of tumour false positives, the EfficientNetV2 feature …”
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Evolution is Driven by Natural Autoencoding: Reframing Species, Interaction Codes, Cooperation, and Sexual Reproduction von Cohen, Irun R., Marron, Assaf

Inhaltsangabe: “… repeating interactions. Encoding and decoding are interwoven. (2) Evolution proceeds by natural autoencoding …”
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DMH-HARQ: Reliable and Open Latency-Constrained Wireless Transport Network von Han, Bin, Sun, Muxia, Zhu, Yao, Sciancalepore, Vincenzo, Habibi, Mohammad Asif, Hu, Yulin, Schmeink, Anke, Li, Yan-Fu, Schotten, Hans D.

Inhaltsangabe: “… repeat request (ARQ) in multi-hop decode-and-forward (DF) relaying in the finite blocklength (FBL) regime …”
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Uncertainty-Aware and Reliable Neural MIMO Receivers via Modular Bayesian Deep Learning von Raviv, Tomer, Park, Sangwoo, Simeone, Osvaldo, Shlezinger, Nir

Inhaltsangabe: “… model-based receiver algorithms, realizing hybrid model-based data-driven architectures …”
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Bi-fidelity Variational Auto-encoder for Uncertainty Quantification von Cheng, Nuojin, Malik, Osman Asif, De, Subhayan, Becker, Stephen, Doostan, Alireza

Inhaltsangabe: “… the VAE's probabilistic encoder-decoder structure. An effective algorithm is proposed to maximize …”
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Nonlinear optical encoding enabled by recurrent linear scattering von Xia, Fei, Kim, Kyungduk, Eliezer, Yaniv, Han, SeungYun, Shaughnessy, Liam, Gigan, Sylvain, Cao, Hui

Inhaltsangabe: “… data compression combined with a digital decoder. In particular, high performance at extreme …”
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Guaranteed Private Communication with Secret Block Structure von Da Costa, Maxime Ferreira, Li, Jianxiu, Mitra, Urbashi

Inhaltsangabe: “… receiver harnesses a secret block structure to decode a transmitted block-sparse message from …”
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Analyzing and Mitigating Object Hallucination in Large Vision-Language Models von Zhou, Yiyang, Cui, Chenhang, Yoon, Jaehong, Zhang, Linjun, Deng, Zhun, Finn, Chelsea, Bansal, Mohit, Yao, Huaxiu

Inhaltsangabe: “… propose a simple yet powerful algorithm, LVLM Hallucination Revisor (LURE), to post-hoc rectify object …”
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