Résultats de la recherche - coding (algorithm OR algorithmssssic)

Cycle Basis Algorithms for Reducing Maximum Edge Participation par Wang, Fan, Irani, Sandy

Table des matières: “…. Building on a recursive algorithm of Freedman and Hastings, we introduce a family of load-aware heuristics…”
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Kitty: Accurate and Efficient 2-bit KV Cache Quantization with Dynamic Channel-wise Precision Boost par Xia, Haojun, Wu, Xiaoxia, Li, Jisen, Wu, Robert, Wang, Junxiong, Wang, Jue, Li, Chenxi, Singhal, Aman, Shah, Alay Dilipbhai, Ariyak, Alpay, Zhuang, Donglin, Zhou, Zhongzhu, Athiwaratkun, Ben, Zheng, Zhen, Song, Shuaiwen Leon

Table des matières: “… an algorithm-system co-design for mixed-precision KV caching: Kitty. On the algorithm side, extensive…”
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Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks for Efficient Eye-based Emotion Recognition par Liu, Qianhui, Yang, Jing, Yu, Miao, Carlson, Trevor E., Pan, Gang, Li, Haizhou, Chen, Zhumin

Table des matières: “… embedded hardware remains challenging. Time-to-first-spike (TTFS)-coded spiking neural networks (SNNs…”
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Spatiotemporal Calibration and Ground Truth Estimation for High-Precision SLAM Benchmarking in Extended Reality par Shu, Zichao, Bei, Shitao, Li, Lijun, Chen, Zetao

Table des matières: “… the practicality of our method by benchmarking several leading XR devices and open-source SLAM algorithms. The code…”
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Contrastive Learning for Semi-Supervised Deep Regression with Generalized Ordinal Rankings from Spectral Seriation par Wang, Ce, Dai, Weihang, Bai, Hanru, Li, Xiaomeng

Table des matières: “… be recovered through spectral seriation algorithms if the level of error is within certain bounds…”
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LEO-RobotAgent: A General-purpose Robotic Agent for Language-driven Embodied Operator par Chen, Lihuang, Luo, Xiangyu, Meng, Jun

Table des matières: “… types. These algorithms often have complex structures and lack generalizability. Thus, the proposed LEO…”
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Estimating Detector Error Models on Google's Willow par Arms, Kregg Elliot, McHugh, Martin James, Nyhan, Joseph Edward, Reus, William Frederick, Ulrich, James Loudon

Table des matières: “… several algorithms to learn DEM parameters and structure from syndromes without using a decoder…”
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Real Matrix Representations of Quantum Operators: An Introduction to Quantum Index Algebra par Volkov, A. Yu., Koroteev, G. A., Volkov, Yu. S.

Table des matières: “… are expressed as structured combinations of basis elements indexed by Boolean codes, allowing products…”
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Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation par Dai, Yanqi, Ji, Yuxiang, Zhang, Xiao, Wang, Yong, Chu, Xiangxiang, Lu, Zhiwu

Table des matières: “… questions in existing methods from both algorithmic and data perspectives, despite their importance…”
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Multi-Objective Optimization for Synthetic-to-Real Style Transfer par Chigot, Estelle, Oberlin, Thomas, Huguenin, Manon, Wilson, Dennis

Table des matières: “… genetic algorithms, we optimize pipelines to balance structural coherence and style similarity to target…”
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Approximate Subgraph Matching with Neural Graph Representations and Reinforcement Learning par Li, Kaiyang, Ji, Shihao, Cai, Zhipeng, Li, Wei

Table des matières: “… Subgraph Matching (RL-ASM) algorithm that exploits graph transformers to effectively extract graph…”
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LiZIP: An Auto-Regressive Compression Framework for LiDAR Point Clouds par Shibu, Aditya, Karim, Kayvan, Zito, Claudio

Table des matières: “… methods often force a trade-off: industry standard algorithms (e.g., LASzip) lack adaptability, while deep…”
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Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification par Wang, Guan, Xia, Shuyin, Qian, Lei, Wu, Tao, Wang, Guoyin, Wang, Yi, Wang, Wei

Table des matières: “… graph coarsening algorithm to coarsen the original graph to obtain many subgraphs. The time complexity…”
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MMP-Refer: Multimodal Path Retrieval-augmented LLMs For Explainable Recommendation par Pan, Xiangchen, Wei, Wei

Table des matières: “… path collection schemes use the existing Explainable GNN algorithms. Although these methods…”
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Warm-Start Quantum Approximate Optimization Algorithm for QAM MIMO Data Detection par Paul, Soumyadip, Banerjee, Sourav, Bhowmik, Debanjan, Kundu, Neel Kanth

Table des matières: “… of the classical maximum likelihood (ML) detector. This challenge is further amplified by Gray-coded modulation…”
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Assessing System Capabilities and Bottlenecks of an Early Fault-Tolerant Bicycle Architecture par Liu, Kun, Foxman, Ben, Anselmetti, Gian-Luca R., Ding, Yongshan

Table des matières: “… optimizations most close the gap between algorithm requirements and hardware capabilities is a concrete…”
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A Deeper Dive into the Irreversibility of PolyProtect: Making Protected Face Templates Harder to Invert par Hahn, Vedrana Krivokuća, Maceiras, Jérémy, Marcel, Sébastien

Table des matières: “… algorithm", which tries to choose "keys" (coefficients and exponents of the PolyProtect polynomial…”
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MLM: Multi-Layer Moire -- A Python Package for Generating Commensurate Supercells of Twisted Multilayer Two-Dimensional Materials par Aditya, Anikeya, Mohanty, Sampad

Table des matières: “… prescribed tolerance. While several codes exist for bilayer systems, extension to three or more layers…”
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Robust Restless Multi-Armed Bandit for Data Center Flexibility Services Through Virtual Machine Scheduling par Ding, Yifu, Chen, Zixi, Magnanti, Thomas

Table des matières: “… learning. Results show that the proposed mixed-strategy algorithm remains robust across varying state-space…”
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FASTAR -- I. Continuous and differentiable evolutionary stellar population models par Martín-Navarro, Ignacio, Vazdekis, Alexandre, de Arriba, Luis Peralta, Asensio, Isaac Alonso, Angeloudi, Eirini, Navarro, Patricia Iglesias, La Barbera, Francesco, Fahrion, Katja, Jerabkova, Tereza, Beasley, Michael A., Falcón-Barroso, Jesús, Huertas-Company, Marc, Sánchez, Sebastián F., Jethwa, Prashin

Table des matières: “… and compatible with inversion algorithms in order to extract meaningful information from the observed data. Here…”
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