Suchergebnisse - (coding OR decoding) (Algorithmssssicsics OR (algorithm OR (algorithm OR algorithm)))

Architecture-Aware Minimization (A$^2$M): How to Find Flat Minima in Neural Architecture Search von Gambella, Matteo, Pittorino, Fabrizio, Roveri, Manuel

Inhaltsangabe: “… novel analytically derived algorithmic framework that explicitly biases, for the first time …”
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Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? von Yue, Yang, Chen, Zhiqi, Lu, Rui, Zhao, Andrew, Wang, Zhaokai, Yue, Yang, Song, Shiji, Huang, Gao

Inhaltsangabe: “… algorithms, and math, coding, and visual reasoning benchmarks, using pass@k at large k values …”
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Adversarial Attack for RGB-Event based Visual Object Tracking von Chen, Qiang, Wang, Xiao, Wang, Haowen, Jiang, Bo, Zhu, Lin, Zhang, Dawei, Tian, Yonghong, Tang, Jin

Inhaltsangabe: “… stream tracking algorithms, yet research in this area remains relatively scarce. To bridge this gap …”
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Transforming faces into video stories -- VideoFace2.0 von Brkljač, Branko, Kalušev, Vladimir, Popović, Branislav, Sečujski, Milan

Inhaltsangabe: “… applicability of the proposed face ReID algorithm that is combining the concepts of face detection, face …”
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Dynamic Graph-based Fingerprinting of In-browser Cryptomining von Sermchaiwong, Tanapoom, Shen, Jiasi

Inhaltsangabe: “… , and due to the limited variety of cryptomining scripts in the wild, standard code obfuscation methods …”
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Multiple Weaks Win Single Strong: Large Language Models Ensemble Weak Reinforcement Learning Agents into a Supreme One von Song, Yiwen, Hao, Qianyue, Liao, Qingmin, Yuan, Jian, Li, Yong

Inhaltsangabe: “… requiring careful tuning, such as algorithm selection, hyperparameter settings, and even random seed choices …”
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ALLSTaR: Automated LLM-Driven Scheduler Generation and Testing for Intent-Based RAN von Elkael, Maxime, Polese, Michele, Prasad, Reshma, Maxenti, Stefano, Melodia, Tommaso

Inhaltsangabe: “… conditions and traffic patterns. Despite the existence of a vast body of scheduling algorithms …”
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Optimizing Methane Detection On Board Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware von Herec, Jonáš, Růžička, Vít, Pitoňák, Rado

Inhaltsangabe: “… by focusing on efficient, low-power algorithms. We test fast target detection methods (ACE, CEM) that have …”
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I2I-PR: Deep Iterative Refinement for Phase Retrieval using Image-to-Image Diffusion Models von Kaya, Mehmet Onurcan, Oktem, Figen S.

Inhaltsangabe: “… there are several well-known phase retrieval algorithms, including classical alternating projection-based solvers …”
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Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding von Xiao, Feng, Fan, Jicong

Inhaltsangabe: “… . Despite significant advances in large language models (LLMs) and anomaly detection algorithms, the absence …”
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When Person Re-Identification Meets Event Camera: A Benchmark Dataset and An Attribute-guided Re-Identification Framework von Wang, Xiao, Zhu, Qian, Wu, Shujuan, Jiang, Bo, Zhang, Shiliang

Inhaltsangabe: “… attracted significant attention. Currently, mainstream event-based person ReID algorithms primarily focus …”
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Perspective from a Higher Dimension: Can 3D Geometric Priors Help Visual Floorplan Localization? von Chen, Bolei, Kang, Jiaxu, Yang, Haonan, Zhong, Ping, Wang, Jianxin

Inhaltsangabe: “… from a higher dimension by injecting 3D geometric priors into the visual FLoc algorithm. For the 3D …”
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SynPAIN: A Synthetic Dataset of Pain and Non-Pain Facial Expressions von Taati, Babak, Muzammil, Muhammad, Zarghami, Yasamin, Moturu, Abhishek, Kazerouni, Amirhossein, Reimer, Hailey, Mihailidis, Alex, Hadjistavropoulos, Thomas

Inhaltsangabe: “… for measuring and mitigating algorithmic bias. The dataset, code, and trained models is available at https …”
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\(X\)-evolve: Solution space evolution powered by large language models von Zhai, Yi, Wei, Zhiqiang, Li, Ruohan, Pan, Keyu, Liu, Shuo, Zhang, Lu, Ji, Jianmin, Zhang, Wuyang, Zhang, Yu, Zhang, Yanyong

Inhaltsangabe: “… While combining large language models (LLMs) with evolutionary algorithms (EAs) shows promise …”
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Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance von Jin, Luozhijie, Qiu, Zijie, Liu, Jie, Diao, Zijie, Qiao, Lifeng, Ding, Ning, Lamb, Alex, Qiu, Xipeng

Inhaltsangabe: “… Denoising-based generative models, particularly diffusion and flow matching algorithms, have …”
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Pre-trained knowledge elevates large language models beyond traditional chemical reaction optimizers von MacKnight, Robert, Regio, Jose Emilio, Ethier, Jeffrey G., Baldwin, Luke A., Gomes, Gabe

Inhaltsangabe: “… Modern optimization in experimental chemistry employs algorithmic search through black-box …”
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Segmentation and Tracking of Eruptive Solar Phenomena with Convolutional Neural Networks von Stepanyuk, Oleg, Kozarev, Kamen

Inhaltsangabe: “… detection and tracking algorithms currently in use have restricted applicability and complicated processing …”
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Compact Multi-level-prior Tensor Representation for Hyperspectral Image Super-resolution von Wang, Yinjian, Li, Wei, Gui, Yuanyuan, Vivone, Gemine

Inhaltsangabe: “… inspiration from the linearized alternating direction method of multipliers to design an efficient algorithm …”
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Impact of Cosmic Ray Acceleration on the Early Evolution of Bow Shocks around Massive Runaway Stars von Watanabe, Keito, Walch, Stefanie, Rathjen, Tim-Eric, Mackey, Jonathan, Nürnberger, Pierre, Girichidis, Philipp

Inhaltsangabe: “… magnetohydrodynamic simulations in the advection-diffusion limit. We use the Eulerian grid-based code FLASH, where …”
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Towards Scaling Deep Neural Networks with Predictive Coding: Theory and Practice von Innocenti, Francesco

Inhaltsangabe: “… brain-inspired algorithm called predictive coding (PC). Unlike BP, PC networks (PCNs) perform inference …”
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