Résultats de la recherche - coding (algorithmssics OR (algorithm OR (algorithm OR (algorithmicsics OR algorithm))))

NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results par Safonov, Nikolay, Bryncev, Alexey, Moskalenko, Andrey, Kulikov, Dmitry, Vatolin, Dmitry, Timofte, Radu, Lei, Haibo, Gao, Qifan, Luo, Qing, Li, Yaqing, Song, Jie, Hao, Shaozhe, Zheng, Meisong, Xu, Jingyi, Wu, Chengbin, Liu, Jiahui, Chen, Ying, Deng, Xin, Xu, Mai, Liang, Peipei, Ma, Jie, Jin, Junjie, Pang, Yingxue, Luo, Fangzhou, Chen, Kai, Zhao, Shijie, Wu, Mingyang, Li, Renjie, Zuo, Yushen, Zhong, Shengyun, Tu, Zhengzhong

Table des matières: “… of the participants was to develop an algorithm capable of improving the visual quality of such videos. Given…”
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An Optimization Framework for Wide-Field Small Aperture Telescope Arrays Used in Sky Surveys par Xiang, Wennan, Jia, Peng, Li, Zhengyang, Liu, Jifeng, Ying, Zhenyu, Bai, Zeyu

Table des matières: “…, and an optimization algorithm, to balance the observation capabilities and the cost of optical telescope arrays…”
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HyGenar: An LLM-Driven Hybrid Genetic Algorithm for Few-Shot Grammar Generation par Tang, Weizhi, Li, Yixuan, Sypherd, Chris, Polgreen, Elizabeth, Belle, Vaishak

Table des matières: “…Grammar plays a critical role in natural language processing and text/code generation by enabling…”
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Rethinking Direct Preference Optimization in Diffusion Models par Kang, Junyong, Lim, Seohyun, Baek, Kyungjune, Shim, Hyunjung

Table des matières: “… problem across timesteps. Our method can be integrated into various preference optimization algorithms…”
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BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL par Hung, Yu-Heng, Lin, Kai-Jie, Lin, Yu-Heng, Wang, Chien-Yi, Sun, Cheng, Hsieh, Ping-Chun

Table des matières: “… algorithms in various synthetic MOBO and real-world multi-objective hyperparameter optimization problems. We…”
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Joint Data Hiding and Partial Encryption of Compressive Sensed Streams par Popa, Cristina-Elena, Damian, Cristian, Coltuc, Daniela

Table des matières: “… in protecting part of the measurements by a secret key and inserting the code into the rest. The secret key…”
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To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers par Plaud, Roman, Perez-Lebel, Alexandre, Labeau, Matthieu, Saillenfest, Antoine, Bonald, Thomas

Table des matières: “… algorithms when candidates are limited to the set of nodes. In the most general case of predicting a subset…”
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The Impact of Feature Scaling In Machine Learning: Effects on Regression and Classification Tasks par Pinheiro, João Manoel Herrera, de Oliveira, Suzana Vilas Boas, Silva, Thiago Henrique Segreto, Saraiva, Pedro Antonio Rabelo, de Souza, Enzo Ferreira, Godoy, Ricardo V., Ambrosio, Leonardo André, Becker, Marcelo

Table des matières: “… different Machine Learning algorithms and 16 datasets for classification and regression tasks. We…”
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The Diffusion Duality par Sahoo, Subham Sekhar, Deschenaux, Justin, Gokaslan, Aaron, Wang, Guanghan, Chiu, Justin, Kuleshov, Volodymyr

Table des matières: “… distillation from the continuous to the discrete setting. This algorithm unlocks few-step generation…”
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An efficient construction of Raz's two-source randomness extractor with improved parameters par Foreman, Cameron, Wooltorton, Lewis, Milner, Kevin, Curchod, Florian J.

Table des matières: “…Randomness extractors are algorithms that distill weak random sources into near-perfect random…”
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Structured First-Layer Initialization Pre-Training Techniques to Accelerate Training Process Based on $\varepsilon$-Rank par Tang, Tao, Yang, Jiang, Zhao, Yuxiang, Zhu, Quanhui

Table des matières: “… only need to add one line of code to conventional existing algorithms. …”
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An open dataset of neural networks for hypernetwork research par Kurtenbach, David, Shamir, Lior

Table des matières: “… by supervised machine learning algorithms. The ultimate purpose of the dataset is to enable hypernetworks…”
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FAST-Calib: LiDAR-Camera Extrinsic Calibration in One Second par Zheng, Chunran, Zhang, Fu

Table des matières: “… by leveraging an efficient and reliable edge extraction algorithm that is agnostic to LiDAR scan patterns…”
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Semi-Implicit Continuum Kinetic Modeling of Weakly Collisional Parallel Transport in a Magnetic Mirror par Dorf, M., Dorr, M., Geyko, V., Ghosh, D., Umansky, M., Angus, J.

Table des matières: “… transport in magnetic mirror configurations using the continuum code \textsc{COGENT}. The numerical scheme…”
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Quantum Semi-Random Forests for Qubit-Efficient Recommender Systems par Alavi, Azadeh, Kouchmeshki, Fatemeh, Alavi, Abdolrahman, Ren, Yongli, Niu, Jiayang

Table des matières: “… close this gap with a three-stage hybrid machine learning algorithm that compresses tag profiles…”
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Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks par Noel, Molly, Mancino-Ball, Gabriel, Xu, Yangyang

Table des matières: “… of theoretical guarantees or are missing important practical elements from modern deep learning algorithms…”
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InqEduAgent: Adaptive AI Learning Partners with Gaussian Process Augmentation par Yang, Wen-Xi, Zhao, Tian-Fang, Liu, Guan, Yang, Liang, Liu, Zi-Tao, Chen, Wei-Neng

Table des matières: “… and evaluative features of learners in real-world scenarios. Then, an adaptive matching algorithm with Gaussian…”
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Mixed-Precision Performance Portability of FFT-Based GPU-Accelerated Algorithms for Block-Triangular Toeplitz Matrices par Venkat, Sreeram, Swirydowicz, Kasia, Wolfe, Noah, Ghattas, Omar

Table des matières: “… to adopt mixed-precision algorithms and performance portability models. We present an on-the-fly framework…”
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Importance-Aware Robust Semantic Transmission for LEO Satellite-Ground Communication par Cao, Hui, Meng, Rui, Xu, Xiaodong, Han, Shujun, Zhang, Ping

Table des matières: “… model enhancement algorithm to improve the granularity and accuracy of semantic segmentation…”
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UniSino: Physics-Driven Foundational Model for Universal CT Sinogram Standardization par Ai, Xingyu, Wang, Shaoyu, Jia, Zhiyuan, Xu, Ao, Shan, Hongming, Ma, Jianhua, Liu, Qiegen

Table des matières: “… diagnostic accuracy. Conventional correction methods rely on manually designed algorithms or fixed empirical…”
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