Risultati della ricerca - coding (algorithm OR ((Algorithmsssic OR algorithmsssic) OR algorithmsssic))

Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning di Feng, Meng, Parimi, Viraj, Williams, Brian

Sommario: “... via an automated self-training algorithm. By constructing a graph with states from the replay buffer...”
Testo

Synthesizing Individualized Aging Brains in Health and Disease with Generative Models and Parallel Transport di Fu, Jingru, Zheng, Yuqi, Dey, Neel, Ferreira, Daniel, Moreno, Rodrigo

Sommario: “... transport algorithm to adapt the population-level aging trajectories learned by a generative deep template...”
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Joint CSI Estimation-Feedback-Precoding via DJSCC for MU-MIMO OFDM Systems di Guo, Yiran, Chen, Wei, Ai, Bo, Li, Lun

Sommario: “... an end-to-end joint CSI estimation-feedback-precoding network based on a deep joint source-channel coding...”
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Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language Models di Grishina, Anastasiia, Liventsev, Vadim, Härmä, Aki, Moonen, Leon

Sommario: “...": the generated code closely resembles a correct solution but fails unit tests due to minor errors. We address...”
Testo

SpaceSeg: A High-Precision Intelligent Perception Segmentation Method for Multi-Spacecraft On-Orbit Targets di Liu, Hao, Guo, Pengyu, Yang, Siyuan, Jiang, Zeqing, Hu, Qinglei, Li, Dongyu

Sommario: “... algorithm validation, we construct the first multi-scale on-orbit multi-spacecraft semantic segmentation...”
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SPRINT: Script-agnostic Structure Recognition in Tables di Kudale, Dhruv, Kasuba, Badri Vishal, Subramanian, Venkatapathy, Chaudhuri, Parag, Ramakrishnan, Ganesh

Sommario: “... an absolute average increase of 11.12%. We also present an algorithm for converting valid OTSL predictions...”
Testo

Changing Base Without Losing Pace: A GPU-Efficient Alternative to MatMul in DNNs di Ailon, Nir, Bercovich, Akhiad, Uffenheimer, Yahel, Weinstein, Omri

Sommario: “... further algorithmic study of STL optimization in DNNs. Our experiments demonstrate that STL can...”
Testo

MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset di Wu, Zhaodong, Zhao, Qiaochu, Hu, Ming, Li, Yulong, Xue, Haochen, Dang, Kang, Jiang, Zhengyong, Stefanidis, Angelos, Wang, Qiufeng, Razzak, Imran, Ge, Zongyuan, He, Junjun, Qiao, Yu, Zheng, Zhong, Tang, Feilong, Su, Jionglong

Sommario: “... to the cutting-edge public algorithms on MSWAL. Our dataset will be released after being accepted, and the code...”
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X-Shooting ULLYSES: massive stars at low metallicity: XII. The clumped winds of O-type (super)giants in the Large Magellanic Cloud di Brands, Sarah A., Backs, Frank, de Koter, Alex, Puls, Joachim, Crowther, Paul A., Sana, Hugues, Tramper, Frank, Kaper, Lex, Sundqvist, Jon O., Bestenlehner, Joachim M., Driessen, Florian A., Erba, Christiana, Hawcroft, Calum, Herrero, Artemio, Hillier, D. John, Ignace, Richard, Lefever, Roel R., Kee, N. Dylan, Mahy, Laurent, Moffat, Antony F. J., Najarro, Francisco, Prinja, Raman, Ramachandran, Varsha, Sander, Andreas A. C., Vink, Jorick S., collaboration, the XShootU

Sommario: “... and ultraviolet spectra of 25 O-type (super)giants in the LMC, using the model atmosphere code Fastwind and a...”
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Learning Orientation Field for OSM-Guided Autonomous Navigation di Huang, Yuming, Gao, Wei, Zhang, Zhiyuan, Ghaffari, Maani, Song, Dezhen, Xu, Cheng-Zhong, Kong, Hui

Sommario: “... Tree (RRT) algorithm and Bezier curve to estimate the trajectories. Thanks to the robustness of OrField...”
Testo

Learning from spatially inhomogenous data: resolution-adaptive convolutions for multiple sclerosis lesion segmentation di Diaz, Ivan, Scherer, Florin, Berli, Yanik, Wiest, Roland, Hammer, Helly, Hoepner, Robert, Betancourt, Alejandro Leon, Radojewski, Piotr, McKinley, Richard

Sommario: “... and acquisition plane can vary substantially. For clinical applications, therefore, algorithms must be trained...”
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COST: Contrastive One-Stage Transformer for Vision-Language Small Object Tracking di Zhang, Chunhui, Liu, Li, Gao, Jialin, Sun, Xin, Wen, Hao, Zhou, Xi, Ge, Shiming, Wang, Yanfeng

Sommario: “... algorithms. However, most of the existing VL trackers rely on carefully designed mechanisms to perform...”
Testo

CAP-Net: A Unified Network for 6D Pose and Size Estimation of Categorical Articulated Parts from a Single RGB-D Image di Huang, Jingshun, Lin, Haitao, Wang, Tianyu, Fu, Yanwei, Xue, Xiangyang, Zhu, Yi

Sommario: “.... A clustering algorithm then groups points of the same predicted class based on their estimated...”
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A Dual-Space Framework for General Knowledge Distillation of Large Language Models di Zhang, Xue, Zhang, Songming, Liang, Yunlong, Meng, Fandong, Chen, Yufeng, Xu, Jinan, Zhou, Jie

Sommario: “... of the distributions. Furthermore, we develop an exact token alignment (ETA) algorithm to align the same tokens in two...”
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Competing chemical signatures in the atmosphere of TOI-270 d: Inference of sulfur and carbon chemistry di Felix, Lukas, Kitzmann, Daniel, Demory, Brice-Olivier, Mordasini, Christoph

Sommario: “...! pipeline and a custom MCMC-based light curve fitting algorithm at the instruments' native resolutions...”
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An AI-powered Public Health Automated Kiosk System for Personalized Care: An Experimental Pilot Study di Falahati, Sonya, Alizadeh, Morteza, Ghazipour, Fatemeh, Safahi, Zhino, Khaledian, Navid, Salmanpour, Mohammad R.

Sommario: “... medical histories using AI algorithms to generate context-aware OTC medication recommendations. The system...”
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ERASER: Efficient RTL FAult Simulation Framework with Trimmed Execution Redundancy di Tang, Jiaping, Mu, Jianan, Liu, Silin, Liu, Zizhen, Gu, Feng, Zhang, Xinyu, Wang, Leyan, Liang, Shenwen, Ye, Jing, Li, Huawei, Li, Xiaowei

Sommario: “... of the RTL code is necessary during the chip design phase.The main overhead in RTL fault simulation comes...”
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S3MOT: Monocular 3D Object Tracking with Selective State Space Model di Yan, Zhuohao, Feng, Shaoquan, Li, Xingxing, Zhou, Yuxuan, Xia, Chunxi, Li, Shengyu

Sommario: “... to traditional linear assignment algorithms that rely on hand-crafted association costs. (2) We propose Fully...”
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Myocardial Region-guided Feature Aggregation Net for Automatic Coronary artery Segmentation and Stenosis Assessment using Coronary Computed Tomography Angiography di Yao, Ni, Liu, Xiangyu, Sun, Danyang, Han, Chuang, Li, Yanting, Nan, Jiaofen, Li, Chengyang, Zhu, Fubao, Zhou, Weihua, Zhao, Chen

Sommario: “..., a morphology-based centerline extraction algorithm separates the vascular tree into anatomical...”
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TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate di Zandieh, Amir, Daliri, Majid, Hadian, Majid, Mirrokni, Vahab

Sommario: “...Vector quantization, a problem rooted in Shannon's source coding theory, aims to quantize high...”
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