Suchergebnisse - (decoding OR coding) (algorithmics OR (algorithm OR Algorithmsssicics))

Efficient Noise Calculation in Deep Learning-based MRI Reconstructions von Dalmaz, Onat, Desai, Arjun D., Heckel, Reinhard, Çukur, Tolga, Chaudhari, Akshay S., Hargreaves, Brian A.

Inhaltsangabe: “… and efficient noise analysis as a central tenet of reconstruction algorithms, holding promise to reshape how we …”
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GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning von Lv, Rui, Zhang, Zaixi, Zhang, Kai, Liu, Qi, Gao, Weibo, Liu, Jiawei, Yan, Jiaxia, Yue, Linan, Yao, Fangzhou

Inhaltsangabe: “… neighbors algorithm and pre-trained selection layers to dynamically choose appropriate samples and minimize …”
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Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis von Ravi, Nikita, Goel, Abhinav, Davis, James C., Thiruvathukal, George K.

Inhaltsangabe: “… , proprietary data and source code, lack of transparency, and the stochastic nature in some software. A study …”
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Distributionally Robust Contract Theory for Edge AIGC Services in Teleoperation von Zhan, Zijun, Dong, Yaxian, Doe, Daniel Mawunyo, Hu, Yuqing, Li, Shuai, Cao, Shaohua, Fan, Lei, Han, Zhu

Inhaltsangabe: “… , we develop a Block Coordinate Descent (BCD)-based algorithm to derive robust reward schemes …”
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Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior von Yang, Yanlong, Liu, Jianan, Luo, Guanxiong, Li, Hao, Ahn, Euijoon, Azghadi, Mostafa Rahimi, Huang, Tao

Inhaltsangabe: “… -resolution ground-truth data. Here, we introduce an unsupervised radar points enhancement algorithm …”
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APEX: Action Priors Enable Efficient Exploration for Robust Motion Tracking on Legged Robots von Sood, Shivam, Nakhwa, Laukik, Ge, Sun, Cao, Yuhong, Cheng, Jin, Zargarbashi, Fatemah, Yoon, Taerim, Choi, Sungjoon, Coros, Stelian, Sartoretti, Guillaume

Inhaltsangabe: “… Efficient Exploration), a plug-and-play extension to state-of-the-art motion tracking algorithms …”
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MergeBench: A Benchmark for Merging Domain-Specialized LLMs von He, Yifei, Zeng, Siqi, Hu, Yuzheng, Yang, Rui, Zhang, Tong, Zhao, Han

Inhaltsangabe: “… : instruction following, mathematics, multilingual understanding, coding and safety. We standardize finetuning …”
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Can Global XAI Methods Reveal Injected Bias in LLMs? SHAP vs Rule Extraction vs RuleSHAP von Sovrano, Francesco

Inhaltsangabe: “… belief-related heuristics in LLMs. To obtain ground truth, we hard-code bias-inducing nonlinear …”
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Protocol as Poetry: A Case Study of Pak's Smart Contract-Based Protocol Art von Hu, Botao Amber

Inhaltsangabe: “… century-long lineage of conceptual, participatory, interactive, systematic, algorithmic, and generative …”
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Frozen Backpropagation: Relaxing Weight Symmetry in Deep Spiking Neural Networks von Goupy, Gaspard, Tirilly, Pierre, Bilasco, Ioan Marius

Inhaltsangabe: “… -based training algorithm relaxing weight symmetry in settings with separate networks. fBP updates …”
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Enhancing Keyphrase Extraction from Academic Articles Using Section Structure Information von Zhang, Chengzhi, Yan, Xinyi, Zhao, Lei, Zhang, Yingyi

Inhaltsangabe: “… texts used as input corpora for KPE models via a keyphrase integration algorithm to obtain the keyphrase …”
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LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models von Hao, Qianyue, Song, Yiwen, Liao, Qingmin, Yuan, Jian, Li, Yong

Inhaltsangabe: “… algorithms, including the DQN series, DDPG, TD3, and any possible variants developed based on them. Through …”
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Symbolic Intermediaries as a Linguistic-Numerical Interface for LLM-Driven Geometric Reasoning von Gandarela, João Pedro, Rios, Thiago, Menzel, Stefan, Freitas, André

Inhaltsangabe: “… design agent maps natural-language specifications to executable simulation code, a critique agent reasons …”
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To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models von Gaisbauer, Simone, Gyawali, Prabin, Zhang, Qilin, Wysocki, Olaf, Jutzi, Boris

Inhaltsangabe: “… using a Perspective-n-Point (PnP) algorithm, with geometric ground truth derived from geo-referenced …”
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2DNMRGym: An Annotated Experimental Dataset for Atom-Level Molecular Representation Learning in 2D NMR via Surrogate Supervision von Li, Yunrui, Xu, Hao, Hong, Pengyu

Inhaltsangabe: “… supervision setup: models are trained using algorithm-generated annotations derived from a previously …”
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OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging von Wei, Yongxian, Cheng, Runxi, Jin, Weike, Yang, Enneng, Shen, Li, Hou, Lu, Du, Sinan, Yuan, Chun, Cao, Xiaochun, Tao, Dacheng

Inhaltsangabe: “… or Large Language Models (LLMs) for code and math tasks. Recently, Multimodal LLMs (MLLMs) that extend LLMs …”
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A Unified and Fast-Sampling Diffusion Bridge Framework via Stochastic Optimal Control von Pan, Mokai, Zhu, Kaizhen, Ma, Yuexin, Fu, Yanwei, Yu, Jingyi, Wang, Jingya, Shi, Ye

Inhaltsangabe: “… Euler sampling methods in UniDB, we design a training-free accelerated algorithm by deriving exact …”
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Two-Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion von Li, Haoyu, Zhong, Xiangru, Hu, Bin, Zhang, Huan

Inhaltsangabe: “… controllers is challenging due to the lack of stable and scalable training and verification algorithms …”
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Generalization Performance of Ensemble Clustering: From Theory to Algorithm von Zhang, Xu, Qiu, Haoye, Liang, Weixuan, Liu, Hui, Hou, Junhui, Jia, Yuheng

Inhaltsangabe: “… ) optimization model. Finally, we instantiate our theory to develop a new ensemble clustering algorithm. Compared …”
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Large Processor Chip Model von Chang, Kaiyan, Chen, Mingzhi, Chen, Yunji, Chen, Zhirong, Fan, Dongrui, Gong, Junfeng, Guo, Nan, Han, Yinhe, Hao, Qinfen, Hou, Shuo, Huang, Xuan, Jin, Pengwei, Ke, Changxin, Li, Cangyuan, Li, Guangli, Li, Huawei, Li, Kuan, Li, Naipeng, Liang, Shengwen, Liu, Cheng, Liu, Hongwei, Liu, Jiahua, Lv, Junliang, Mu, Jianan, Qin, Jin, Sun, Bin, Wang, Chenxi, Wang, Duo, Wang, Mingjun, Wang, Ying, Wu, Chenggang, Wu, Peiyang, Wu, Teng, Xiao, Xiao, Xie, Mengyao, Xiong, Chenwei, Xu, Ruiyuan, Yan, Mingyu, Ye, Xiaochun, Yu, Kuai, Zhang, Rui, Zhang, Shuoming, Zhao, Jiacheng

Inhaltsangabe: “… with exploring expansive design spaces. While automated methods leveraging optimization algorithms and machine …”
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