Risultati della ricerca - decoding ((Algorithmsssicsics OR (algorithm OR algorithm)) OR (algorithm OR algorithm))

A sum‐rate maximization for IRS‐aided broadcast SWIPT with time‐switching structure and nonlinear energy harvester di Pham Ngoc Son, Pham Viet Tuan, Van Hiep VU, Mai T. P. Le, Vien Nguyen‐Duy‐Nhat

Sommario: “...) structure for an alternating information decoder and a nonlinear energy harvester. The sum‐rate maximization...”
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Proactive handover optimization via multi‐agent deep reinforcement learning in integrated LEO satellite–terrestrial networks for high‐mobility terminals di Huiyeon Jang, Junyoung Kim, In‐Sop Cho, Minsu Shin, Joon Gyu Ryu, Soyi Jung

Sommario: “... short‐term memory encoder–decoder architecture. This forecasting model enables each MT to predict its...”
Testo

Interactive Analytical Workflow for Material Footprint Decoupling Analysis. di Gomez, Elías

Sommario: “...–Welch algorithm with Viterbi decoding, bootstrap confidence intervals, and panel regressions...”
Testo

Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network di Mo, Baichuan, Wang, Qing Yi, Guo, Xiaotong, Winkenbach, Matthias, Zhao, Jinhua

Sommario: “.... In addition to the commonly used encoder-decoder architecture for sequence-to-sequence prediction, we propose...”
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GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems di Wang, Zhenwei, Bai, Ruibin, Khan, Fazlullah, Ozcan, Ender, Zhang, Tiehua

Sommario: “... in an encoder-decoder style. Such an approach makes it possible to solve routing problems end-to-end without...”
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A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned Attention di Lee, Heejun, Park, Geon, Lee, Youngwan, Suh, Jaduk, Kim, Jina, Jeong, Wonyoung, Kim, Bumsik, Lee, Hyemin, Jeon, Myeongjae, Hwang, Sung Ju

Sommario: “... algorithm that estimates the top-$k$ key tokens for a given query on the fly, which is mathematically...”
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Attention-based SIC Ordering and Power Allocation for Non-orthogonal Multiple Access Networks di Huang, Liang, Zhu, Bincheng, Nan, Runkai, Chi, Kaikai, Wu, Yuan

Sommario: “... (SIC) plays a crucial role in decoding user signals sequentially. The challenge lies in the joint...”
Testo

A general reduced-order neural operator for spatio-temporal predictive learning on complex spatial domains di Meng, Qinglu, Li, Yingguang, Deng, Zhiliang, Liu, Xu, Chen, Gengxiang, Wu, Qiutong, Liu, Changqing, Hao, Xiaozhong

Sommario: “... on Riemannian Manifolds (RO-NORM), which consists of two parts: the unequal-domain encoder/decoder and the same...”
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Using MRNet to Predict Lunar Rock Categories Detected by Chang'e 5 Probe di Cui, Jin, Zou, Yifei, Zhang, Siyuan

Sommario: “..., and the decoding part adds dilated convolution and commonly used U-Net structure on the original VGG16 decoding...”
Testo

Cyrus+: A DRL-based Puncturing Solution to URLLC/eMBB Multiplexing in O-RAN di Ghoreishi, Ehsan, Abolhassani, Bahman, Huang, Yan, Acharya, Shiva, Lou, Wenjing, Hou, Y. Thomas

Sommario: “.... This is inadequate as, after puncturing, eMBB data may or may not be successfully decoded at its receiver. This paper...”
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On Evaluating Performance of LLM Inference Serving Systems di Agrawal, Amey, Kedia, Nitin, Agarwal, Anmol, Mohan, Jayashree, Kwatra, Nipun, Kundu, Souvik, Ramjee, Ramachandran, Tumanov, Alexey

Sommario: “...-phase nature combining distinct prefill and decode operations, its handling of highly heterogeneous...”
Testo

Detect Any Sound: Open-Vocabulary Sound Event Detection with Multi-Modal Queries di Cai, Pengfei, Song, Yan, Gu, Qing, Jiang, Nan, Song, Haoyu, McLoughlin, Ian

Sommario: “...Most existing sound event detection~(SED) algorithms operate under a closed-set assumption...”
Testo

GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation di Zhang, Zhengqiang, Wu, Rongyuan, Sun, Lingchen, Zhang, Lei

Sommario: “... regions. We first employ an entropy-driven algorithm to partition the image into texture-homogeneous...”
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Top-H Decoding: Adapting the Creativity and Coherence with Bounded Entropy in Text Generation di Potraghloo, Erfan Baghaei, Azizi, Seyedarmin, Kundu, Souvik, Pedram, Massoud

Sommario: “... decoding, a computationally efficient greedy algorithm to solve the ECMM problem. Extensive empirical...”
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PepCompass: Navigating peptide embedding spaces using Riemannian Geometry di Możejko, Marcin, Bielecki, Adam, Prądzyński, Jurand, Traskowski, Marcin, Janowski, Antoni, Lee, Hyun-Su, Torres, Marcelo Der Torossian, Kmicikiewicz, Michał, Szymczak, Paulina, Jurasz, Karol, Kucharczyk, Michał, de la Fuente-Nunez, Cesar, Szczurek, Ewa

Sommario: “..., but conventionally ignore decoder-induced geometry and rely on flat Euclidean metrics, rendering exploration...”
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Near-Asymptotically-Good Quantum Codes with Transversal CCZ Gates and Sublinear-Weight Parity-Checks di Golowich, Louis, Guruswami, Venkatesan

Sommario: “... the block length. We furthermore design an efficient decoding algorithm for these codes. The alphabet size...”
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Efficient LLM Inference over Heterogeneous Edge Networks with Speculative Decoding di Zhu, Bingjie, Chen, Zhixiong, Zhao, Liqiang, Shin, Hyundong, Nallanathan, Arumugam

Sommario: “... LLM inference systems typically adopt autoregressive decoding (AD), which only generates one token per...”
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Efficient Vector Symbolic Architectures from Histogram Recovery di Deng, Zirui, Raviv, Netanel

Sommario: “... problem by using algorithms related to list-decoding, and analyze the resulting noise resilience. Our...”
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MindRec: A Diffusion-driven Coarse-to-Fine Paradigm for Generative Recommendation di Gao, Mengyao, Gao, Chongming, Liu, Haoyan, Cai, Qingpeng, Jiang, Peng, Chen, Jiajia, Yuan, Shuai, He, Xiangnan

Sommario: “... optimum problem inherent in greedy decoding, we design a novel beam search algorithm, Diffusion Beam...”
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AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization di Li, Qiyang, Kong, Rui, Li, Yuchen, Cai, Hengyi, Wang, Shuaiqiang, Kong, Linghe, Chen, Guihai, Yin, Dawei

Sommario: “... latency often skyrockets, leading to decoding speeds slowing by over 2.5 times. Through a fine-grained...”
Testo