Risultati della ricerca - (endedededeendecoding OR (coding OR Decoding)) (algorithmics OR (algorithm OR algorithm))

The ESO SupJup Survey VIII. Chemical fingerprints of young L dwarf twins di Grasser, N., Snellen, I. A. G., de Regt, S., Picos, D. González, Zhang, Y., Stolker, T., Gandhi, S., Nasedkin, E., Landman, R., Kesseli, A. Y., Mulder, W.

Sommario: “... with the radiative transfer code petitRADTRANS, for which we employed a free and equilibrium chemistry approach...”
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KAT-V1: Kwai-AutoThink Technical Report di Zhan, Zizheng, Deng, Ken, Tang, Huaixi, Xiang, Wen, Wu, Kun, Li, Weihao, Zhu, Wenqiang, Xu, Jingxuan, Huang, Lecheng, Feng, Zongxian, Wang, Shaojie, Yan, Shangpeng, Chen, Xuxing, Liu, Jiaheng, Peng, Zhongyuan, Gao, Zuchen, Huang, Haoyang, Zhang, Xiaojiang, Wang, Jinghui, Lin, Zheng, Li, Mengtong, Wang, Huiming, Zhan, Ziqi, Wu, Yanan, Zhang, Yuanxing, Yang, Jian, Chen, Guang, Zhang, Haotian, Chen, Bin, Yu, Bing

Sommario: “... prompting. Finally, we propose Step-SRPO, a reinforcement learning algorithm that incorporates intermediate...”
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R-process heating implementation in hydrodynamic simulations with neural networks di Just, Oliver, Xiong, Zewei, Martínez-Pinedo, Gabriel

Sommario: “... algorithms. The method requires the evolution of only a few additional quantities characterizing...”
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CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos di Sun, Wei, Cao, Linhan, Fu, Kang, Zhu, Dandan, Jia, Jun, Hu, Menghan, Min, Xiongkuo, Zhai, Guangtao

Sommario: “... compression algorithms. Although numerous compressed video quality assessment (VQA) methods have been proposed...”
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SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation di Ye, Hao, Qi, Mengshi, Liu, Zhaohong, Liu, Liang, Ma, Huadong

Sommario: “... novel multi-scale subgraph retrieval algorithm for efficient information retrieval. By incorporating...”
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Power Battery Detection di Zhao, Xiaoqi, Cao, Peiqian, Yu, Chenyang, Feng, Zonglei, Zhang, Lihe, Liu, Hanqi, Zuo, Jiaming, Pang, Youwei, Ouyang, Jinsong, Lin, Weisi, Fakhri, Georges El, Lu, Huchuan, Liu, Xiaofeng

Sommario: “... algorithms struggle with densely packed plates, low contrast, scale variation, and imaging artifacts...”
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Adaptive Confidence-Wise Loss for Improved Lens Structure Segmentation in AS-OCT di Xiao, Zunjie, Wu, Xiao, Liu, Tianhang, Hu, Lingxi, Zhang, Yinling, Zhang, Xiaoqing, Higashita, Risa, Liu, Jiang

Sommario: “... threshold optimization algorithm to adjust the confidence threshold of ACW dynamically. Additionally...”
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ST-Raptor: LLM-Powered Semi-Structured Table Question Answering di Tang, Zirui, Niu, Boyu, Zhou, Xuanhe, Li, Boxiu, Zhou, Wei, Wang, Jiannan, Li, Guoliang, Zhang, Xinyi, Wu, Fan

Sommario: “... with an effective algorithm for constructing the tree. Second, we define a set of basic tree operations to guide...”
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Dual-Thresholded Heatmap-Guided Proposal Clustering and Negative Certainty Supervision with Enhanced Base Network for Weakly Supervised Object Detection di Guo, Yuelin, He, Haoyu, Chen, Zhiyuan, Huang, Zitong, Lu, Renhao, Shi, Lu, Wang, Zejun, Zhang, Weizhe

Sommario: “... selector (HGPS) algorithm, which utilizes dual thresholds on heatmaps to pre-select proposals, enabling...”
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Machine Learning for Quantum Noise Reduction di Kendre, Karan

Sommario: “... mitigation essential for practical quantum computation. While traditional quantum error correction codes...”
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Language Models that Think, Chat Better di Bhaskar, Adithya, Ye, Xi, Chen, Danqi

Sommario: “... rule-based rewards in verifiable domains such as mathematics and code. However, RLVR leads to limited...”
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Active Attacks: Red-teaming LLMs via Adaptive Environments di Yun, Taeyoung, St-Charles, Pierre-Luc, Park, Jinkyoo, Bengio, Yoshua, Kim, Minsu

Sommario: “... exploration, we introduce \textit{Active Attacks}, a novel RL-based red-teaming algorithm that adapts its...”
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From Static to Dynamic: Adaptive Monte Carlo Search for Mathematical Process Supervision di Ma, Jie, Qi, Shihao, Xing, Rui, Yin, Ziang, Wei, Bifan, Liu, Jun, Liu, Tongliang

Sommario: “..., it enhances the path expansion through a Monte Carlo algorithm with a temporally adaptive policy that begins...”
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Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play di Wang, Qinsi, Liu, Bo, Zhou, Tianyi, Shi, Jing, Lin, Yueqian, Chen, Yiran, Li, Hai Helen, Wan, Kun, Zhao, Wentian

Sommario: “...-SPO), a novel training algorithm that alternates between Self-Play and reinforcement learning...”
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Who Should Have a Place on the Ark? Parameterized Algorithms for the Maximization of Phylogenetic Diversity di Schestag, Jannik

Sommario: “... after which they can no longer be saved.For Time-PD,we present color-coding algorithms that prove...”
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FOLK: Fast Open-Vocabulary 3D Instance Segmentation via Label-guided Knowledge Distillation di Wu, Hongrui, Gao, Zhicheng, Cao, Jin, Yao, Kelu, Shen, Wen, Wei, Zhihua

Sommario: “... propose a label-guided distillation algorithm to distill open-vocabulary knowledge from label-consistent 2...”
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Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning di Mihai-Cristian, Pîrvu, Leordeanu, Marius

Sommario: “... the distribution of hyper-edges on each forward pass. Additionally, the model adapts the standard MAE algorithm...”
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FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models di Liu, Junkang, Shang, Fanhua, Liu, Hongying, Tian, Yuxuan, Liu, Yuanyuan, Liu, Jin, Zhu, Kewen, Lin, Zhouchen

Sommario: “... \underline{AdamW} algorithm, called \texttt{FedAdamW}, for training and fine-tuning various large models...”
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CORGI: Efficient Pattern Matching With Quadratic Guarantees di Weitekamp, Daniel

Sommario: “... automatically generate rules from example-driven induction or code synthesis, they can easily produce worst-case...”
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MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping di Huang, Yushi, Wang, Zining, Yuan, Zhihang, Ding, Yifu, Gong, Ruihao, Guo, Jinyang, Liu, Xianglong, Zhang, Jun

Sommario: “... the optimal thresholds, we introduce a frontier search algorithm that exploits monotonicity properties...”
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