Search Results - coding (algorithmssics OR (algorithm OR (Algorithmssssssics OR (algorithm OR algorithm))))

NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results by 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 of Contents: “… 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 by Xiang, Wennan, Jia, Peng, Li, Zhengyang, Liu, Jifeng, Ying, Zhenyu, Bai, Zeyu

Table of Contents: “…, 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 by Tang, Weizhi, Li, Yixuan, Sypherd, Chris, Polgreen, Elizabeth, Belle, Vaishak

Table of Contents: “…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 by Kang, Junyong, Lim, Seohyun, Baek, Kyungjune, Shim, Hyunjung

Table of Contents: “… 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 by Hung, Yu-Heng, Lin, Kai-Jie, Lin, Yu-Heng, Wang, Chien-Yi, Sun, Cheng, Hsieh, Ping-Chun

Table of Contents: “… 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 by Popa, Cristina-Elena, Damian, Cristian, Coltuc, Daniela

Table of Contents: “… 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 by Plaud, Roman, Perez-Lebel, Alexandre, Labeau, Matthieu, Saillenfest, Antoine, Bonald, Thomas

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

Table of Contents: “… 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 by Foreman, Cameron, Wooltorton, Lewis, Milner, Kevin, Curchod, Florian J.

Table of Contents: “…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 by Tang, Tao, Yang, Jiang, Zhao, Yuxiang, Zhu, Quanhui

Table of Contents: “… 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 by Kurtenbach, David, Shamir, Lior

Table of Contents: “… 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 by Zheng, Chunran, Zhang, Fu

Table of Contents: “… 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 by Dorf, M., Dorr, M., Geyko, V., Ghosh, D., Umansky, M., Angus, J.

Table of Contents: “… 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 by Alavi, Azadeh, Kouchmeshki, Fatemeh, Alavi, Abdolrahman, Ren, Yongli, Niu, Jiayang

Table of Contents: “… 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 by Noel, Molly, Mancino-Ball, Gabriel, Xu, Yangyang

Table of Contents: “… 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 by Yang, Wen-Xi, Zhao, Tian-Fang, Liu, Guan, Yang, Liang, Liu, Zi-Tao, Chen, Wei-Neng

Table of Contents: “… 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 by Venkat, Sreeram, Swirydowicz, Kasia, Wolfe, Noah, Ghattas, Omar

Table of Contents: “… 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 by Cao, Hui, Meng, Rui, Xu, Xiaodong, Han, Shujun, Zhang, Ping

Table of Contents: “… 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 by Ai, Xingyu, Wang, Shaoyu, Jia, Zhiyuan, Xu, Ao, Shan, Hongming, Ma, Jianhua, Liu, Qiegen

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