Risultati della ricerca - (decoding OR coding) (Algorithmsssicics OR (algorithm OR (algorithm OR algorithm)))

PIPES: A Meta-dataset of Machine Learning Pipelines di Maia, Cynthia Moreira, de Amorim, Lucas B. V., Cavalcanti, George D. C., Cruz, Rafael M. O.

Sommario: “... computational costs associated with evaluating various algorithms' performances on a given dataset. To mitigate...”
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SAQ: Pushing the Limits of Vector Quantization through Code Adjustment and Dimension Segmentation di Li, Hui, Deng, Shiyuan, Yan, Xiao, Zhi, Xiangyu, Cheng, James

Sommario: “.... An efficient dynamic programming algorithm is developed to optimize dimension segmentation and bit allocation...”
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Diffusion-Based Cross-Modal Feature Extraction for Multi-Label Classification di Lan, Tian, Zheng, Yiming, Yin, Jianxin

Sommario: “... for images (under DiT-XL/2-256$\times$256). We devise a heuristic local-search algorithm that pinpoints...”
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Graph-based Clustering Revisited: A Relaxation of Kernel $k$-Means Perspective di Lyu, Wenlong, Jia, Yuheng, Liu, Hui, Hou, Junhui

Sommario: “... algorithm for their optimization. Extensive experiments validate the effectiveness of our approaches...”
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FAST: Foreground-aware Diffusion with Accelerated Sampling Trajectory for Segmentation-oriented Anomaly Synthesis di Xu, Xichen, Wang, Yanshu, Wang, Jinbao, Lei, Xiaoning, Xie, Guoyang, Jiang, Guannan, Lu, Zhichao

Sommario: “... sampling algorithm specifically designed for segmentation-oriented industrial anomaly synthesis, which...”
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Learning More with Less: A Dynamic Dual-Level Down-Sampling Framework for Efficient Policy Optimization di Wang, Chao, Yang, Tao, Tian, Hongtao, Shi, Yunsheng, Ma, Qiyao, Liu, Xiaotao, Yao, Ting, Ding, Wenbo

Sommario: “... and Llama3.1 demonstrate that integrating D$^3$S into advanced RL algorithms achieves state-of-the-art...”
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ProxyAttn: Guided Sparse Attention via Representative Heads di Wang, Yixuan, He, Huang, Bao, Siqi, Wu, Hua, Wang, Haifeng, Zhu, Qingfu, Che, Wanxiang

Sommario: “... rates. In this work, we propose ProxyAttn, a training-free sparse attention algorithm that achieves more...”
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Free Lunch Alignment of Text-to-Image Diffusion Models without Preference Image Pairs di Xian, Jia Jun Cheng, Li, Muchen, Yang, Haotian, Tao, Xin, Wan, Pengfei, Sigal, Leonid, Liao, Renjie

Sommario: “... and compatible with existing preference-based algorithms. We extend both DPO and KTO to our setting, resulting...”
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Refine Drugs, Don't Complete Them: Uniform-Source Discrete Flows for Fragment-Based Drug Discovery di Kaech, Benno, Wyss, Luis, Borgwardt, Karsten, Grasso, Gianvito

Sommario: “.... For property and lead optimization, we propose a hybrid scheme that combines a genetic algorithm with a...”
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Copy-Paste to Mitigate Large Language Model Hallucinations di Long, Yongchao, Wu, Xian, Zhang, Yingying, Wen, Xianbin, Zhou, Yuxi, Hong, Shenda

Sommario: “...-Parameter Copying Capturing algorithm. Interestingly, this reveals that CopyPasteLLM recalibrates reliance...”
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Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models di Zhang, Tianao, Li, Zhiteng, Yan, Xianglong, Qin, Haotong, Guo, Yong, Zhang, Yulun

Sommario: “...-order Quantizer (DAQ) that learns ultra-low-bit weight representations via an optimization algorithm...”
Testo

Destination-to-Chutes Task Mapping Optimization for Multi-Robot Coordination in Robotic Sorting Systems di Zhang, Yulun, Barbosa, Alexandre O. G., Pecora, Federico, Li, Jiaoyang

Sommario: “... Diversity algorithms to analyze the throughput of a diverse set of task mappings. Our code is available...”
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XRPO: Pushing the limits of GRPO with Targeted Exploration and Exploitation di Bamba, Udbhav, Fang, Minghao, Yu, Yifan, Zheng, Haizhong, Lai, Fan

Sommario: “...Reinforcement learning algorithms such as GRPO have driven recent advances in large language model...”
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DeepPrune: Parallel Scaling without Inter-trace Redundancy di Tu, Shangqing, Li, Yaxuan, Bai, Yushi, Hou, Lei, Li, Juanzi

Sommario: “... 0.7072 AUROC on unseen reasoning models. Combined with an online greedy clustering algorithm...”
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Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization di Rojas, Kevin, Lin, Jiahe, Rasul, Kashif, Schneider, Anderson, Nevmyvaka, Yuriy, Tao, Molei, Deng, Wei

Sommario: “... new RL algorithm tailored for DLMs. GDPO leverages simple yet effective Semi-deterministic Monte Carlo...”
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Non-Orthogonal Pilot Sequence Design for Multi-Cells Interference Networks di Gu, Zhi, Mow, Wai Ho

Sommario: “...-cell systems and the signature sequences in overloaded code-division multiple-access (CDMA) systems...”
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REvolution: An Evolutionary Framework for RTL Generation driven by Large Language Models di Min, Kyungjun, Cho, Kyumin, Jang, Junhwan, Kang, Seokhyeong

Sommario: “...Large Language Models (LLMs) are used for Register-Transfer Level (RTL) code generation...”
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Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data di Nguyen, Duong M., Hoang, Trong Nghia, Huynh, Thanh Trung, Nguyen, Quoc Viet Hung, Nguyen, Phi Le

Sommario: “... can be algorithmically aggregated across clients with similar data-missing patterns to enhance...”
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Towards Personalized Treatment Plan: Geometrical Model-Agnostic Approach to Counterfactual Explanations di Sin, Daniel, Toutounchian, Milad

Sommario: “... algorithm generates decision boundary points on multiple orders of magnitude in the same given time when we...”
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Mathematical exploration and discovery at scale di Georgiev, Bogdan, Gómez-Serrano, Javier, Tao, Terence, Wagner, Adam Zsolt

Sommario: “...AlphaEvolve (Novikov et al., 2025) is a generic evolutionary coding agent that combines...”
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