Risultati della ricerca - (decoding OR coding) (algorithm OR (algorithmsssic OR (algorithmsssic OR algorithmsssic)))

An efficient implementation for solving the all pairs minimax path problem in an undirected dense graph di Liu, Gangli

Sommario: “... in $ O(n^2) $ . However, they are impractical because there is no code implementation of these algorithms...”
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Efficient Certificates of Anti-Concentration Beyond Gaussians di Bakshi, Ainesh, Kothari, Pravesh, Rajendran, Goutham, Tulsiani, Madhur, Vijayaraghavan, Aravindan

Sommario: “... in algorithmic robust statistics e.g., list-decodable learning and clustering, to such distributions. Our...”
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Setting up the Data Printer with Improved English to Ukrainian Machine Translation di Paniv, Yurii, Chaplynskyi, Dmytro, Trynus, Nikita, Kyrylov, Volodymyr

Sommario: “... of new algorithmic tasks expressed in natural language. Examples of task performance expressed in English...”
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Phase Alignment Enhances Oscillatory Power in Neural Mass Models Optimized for Class Encoding di Pei, Alexander

Sommario: “... simple neural circuits can represent information. A genetic algorithm was used to optimize parameters...”
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Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs di Sen, Jaydip, Sengupta, Saptarshi, Dasgupta, Subhasis

Sommario: “...), focusing on enhancing the Locally Typical Sampling (LTS) algorithm. Traditional decoding methods...”
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From Quarter to All: Accelerating Speculative LLM Decoding via Floating-Point Exponent Remapping and Parameter Sharing di Zhao, Yushu, Qin, Yubin, Wang, Yang, Yang, Xiaolong, Han, Huiming, Wei, Shaojun, Hu, Yang, Yin, Shouyi

Sommario: “... extra overheads. We propose SPEQ, an algorithm-hardware co-designed speculative decoding method...”
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XShare: Collaborative in-Batch Expert Sharing for Faster MoE Inference di Vankov, Daniil, Ivkin, Nikita, Ulrich, Kyle, Song, Xiang, Khetan, Ashish, Karypis, George

Sommario: “... models. However, in production inference, request batching and speculative decoding significantly amplify...”
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Aligning Tree-Search Policies with Fixed Token Budgets in Test-Time Scaling of LLMs di Miyamoto, Sora, Oba, Daisuke, Okazaki, Naoaki

Sommario: “...), a tree-search decoding algorithm that aligns its search policy with the remaining token budget...”
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Error Correction in Dynamical Codes di Fu, Esther Xiaozhen, Gottesman, Daniel

Sommario: “... to the schedule of measurements associated with the code. We address this challenge by developing an algorithm...”
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Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning di Lu, Ming, Chen, Tong, Ding, Dandan, Zhu, Fengqing, Ma, Zhan

Sommario: “... and generalization of DCS algorithm, promising an encouraging direction for future video coding. ...”
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Ising Machines' Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection di Singh, Abhishek Kumar, Jamieson, Kyle, Venturelli, Davide, McMahon, Peter

Sommario: “... it into an algorithm that achieves near-optimal MIMO detection. Massive MIMO systems, that have a large number...”
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Efficient Training of Multi-task Neural Solver for Combinatorial Optimization di Wang, Chenguang, Fu, Zhang-Hua, Lu, Pinyan, Yu, Tianshu

Sommario: “... for multiple tasks under an encoder-decoder framework, which enables more efficient training via proper bandit...”
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GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting di Zhang, Xinjie, Ge, Xingtong, Xu, Tongda, He, Dailan, Wang, Yan, Qin, Hongwei, Lu, Guo, Geng, Jing, Zhang, Jun

Sommario: “... rendering algorithm based on accumulated summation. Remarkably, our method with a minimum of 3$\times$ lower...”
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SFOD: Spiking Fusion Object Detector di Fan, Yimeng, Zhang, Wei, Liu, Changsong, Li, Mingyang, Lu, Wenrui

Sommario: “... algorithms. Spiking Neural Networks (SNNs), inspired by the way the human brain codes and processes...”
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Semi-Blind Receivers for Hybrid Reflecting and Sensing RIS di Magalhães, Amarilton L., de Almeida, André L. F.

Sommario: “... that enable joint symbol and CE at the HRIS and BS. The proposed receivers exploit a tensor coding...”
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ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression di Liu, Guangda, Li, Chengwei, Zhao, Jieru, Zhang, Chenqi, Guo, Minyi

Sommario: “... at the granularity of semantic clusters. We design and implement efficient algorithms and systems for clustering...”
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Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation di Zhuge, Yunzhi, Gu, Hongyu, Zhang, Lu, Qi, Jinqing, Lu, Huchuan

Sommario: “...) by proposing an efficient algorithm, termed MTNet, which concurrently exploits motion and temporal cues. Unlike...”
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MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft di Guo, Junliang, Ye, Yang, He, Tianyu, Wu, Haoyu, Jiang, Yushu, Pearce, Tim, Bian, Jiang

Sommario: “.... In inference, we develop a novel parallel decoding algorithm that predicts the spatial redundant tokens in each...”
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STCL:Curriculum learning Strategies for deep learning image steganography models di Liu, Fengchun, Zhang, Tong, Zhang, Chunying

Sommario: “... multiple algorithmic frameworks, which not only has a high PSNR, SSIM score, and decoding accuracy...”
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TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling di Lin, Weizhe, Li, Xing, Yang, Zhiyuan, Fu, Xiaojin, Zhen, Hui-Ling, Wang, Yaoyuan, Yu, Xianzhi, Liu, Wulong, Li, Xiaosong, Yuan, Mingxuan

Sommario: “..., logical, and coding tasks by leveraging extended Chain-of-Thought (CoT) reasoning. Test-time scaling...”
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