Risultati della ricerca - (coding OR decoding) (algorithm OR (algorithmics OR (Algorithmsssics OR Algorithmsssics)))

FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles di Zhai, Yijun, Zhou, Pengzhan, He, Yuepeng, Qu, Fang, Qin, Zhida, Jiao, Xianlong, Liu, Guiyan, Guo, Songtao

Sommario: “... federated learning algorithms on three real-world autonomous driving datasets in various heterogeneous...”
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Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation di Zhang, Yiqin, Chen, Qingkui, Huang, Chen, Zhang, Zhengjie, Chen, Meiling, Fu, Zhibing

Sommario: “... digital images, and consequently, proposed a medical-specific augmentation algorithm that is more elastic...”
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A Framework for Debugging Quantum Programs di Rovara, Damian, Burgholzer, Lukas, Wille, Robert

Sommario: “... the ability to place assertions in the code that test for the correctness of a given algorithm...”
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Resilient Cloud cluster with DevSecOps security model, automates a data analysis, vulnerability search and risk calculation di Alghawli, Abed Saif Ahmed, Radivilova, Tamara

Sommario: “... program code for vulnerabilities and allows you to fix violations at the earliest stages of developing...”
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Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving di Pang, Hao, Wang, Zhenpo, Li, Guoqiang

Sommario: “... expert policy constrained algorithm and a novel LLM-intervened interaction mechanism. Experimental...”
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A Large-Scale Study on Video Action Dataset Condensation di Chen, Yang, Guo, Sheng, Zheng, Bo, Wang, Limin

Sommario: “... of condensation algorithms to the space-time domain. From this study, we derive several intriguing observations...”
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On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis di Ke, Yekun, Li, Xiaoyu, Liang, Yingyu, Sha, Zhizhou, Shi, Zhenmei, Song, Zhao

Sommario: “...'' paradigm. Suppose that $n$ represents the height and width of the last VQ code map generated by $\mathsf...”
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Advection Algorithms for Quantum Neutrino Moment Transport di Grohs, Evan, Richers, Sherwood, Froustey, Julien, Foucart, Francois, Kneller, James P., McLaughlin, Gail C.

Sommario: “... then test our new algorithm in numerous cases showing a neutrino fast flavor instability, varying from toy...”
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Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems di Gao, Weibo, Liu, Qi, Yue, Linan, Yao, Fangzhou, Lv, Rui, Zhang, Zheng, Wang, Hao, Huang, Zhenya

Sommario: “... with learner profile, memory, and action modules tailored to personalized learning algorithms. The learner...”
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Radiance Surfaces: Optimizing Surface Representations with a 5D Radiance Field Loss di Zhang, Ziyi, Roussel, Nicolas, Müller, Thomas, Zeltner, Tizian, Nimier-David, Merlin, Rousselle, Fabrice, Jakob, Wenzel

Sommario: “... representation. Building on existing radiance volume reconstruction algorithms, we introduce a subtle yet...”
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Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion di Zhang, Binchi, Zheng, Zaiyi, Chen, Zhengzhang, Li, Jundong

Sommario: “... for transformers. Based on this property, we propose a theoretically optimal parameter matching algorithm as a plug...”
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Information Theoretic Analysis of PUF-Based Tamper Protection di Maringer, Georg, Hiller, Matthias

Sommario: “... and minimize the reconstruction error probability under zero leakage. We apply wiretap coding within a helper...”
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Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge di Imran, Muhammad, Krebs, Jonathan R., Sivaraman, Vishal Balaji, Zhang, Teng, Kumar, Amarjeet, Ueland, Walker R., Fassler, Michael J., Huang, Jinlong, Sun, Xiao, Wang, Lisheng, Shi, Pengcheng, Rokuss, Maximilian, Baumgartner, Michael, Kirchhof, Yannick, Maier-Hein, Klaus H., Isensee, Fabian, Liu, Shuolin, Han, Bing, Nguyen, Bong Thanh, Shin, Dong-jin, Ji-Woo, Park, Choi, Mathew, Uhm, Kwang-Hyun, Ko, Sung-Jea, Lee, Chanwoong, Chun, Jaehee, Kim, Jin Sung, Zhang, Minghui, Zhang, Hanxiao, You, Xin, Gu, Yun, Pan, Zhaohong, Liu, Xuan, Liang, Xiaokun, Tiefenthaler, Markus, Almar-Munoz, Enrique, Schwab, Matthias, Kotyushev, Mikhail, Epifanov, Rostislav, Wodzinski, Marek, Muller, Henning, Qayyum, Abdul, Mazher, Moona, Niederer, Steven A., Wang, Zhiwei, Yang, Kaixiang, Ren, Jintao, Korreman, Stine Sofia, Gao, Yuchong, Zeng, Hongye, Zheng, Haoyu, Zheng, Rui, Yue, Jinghua, Zhou, Fugen, Liu, Bo, Cosman, Alexander, Liang, Muxuan, Zhao, Chang, Upchurch Jr., Gilbert R., Ma, Jun, Zhou, Yuyin, Cooper, Michol A., Shao, Wei

Sommario: “..., and an in-depth analysis of the top-performing algorithms. The annotated dataset, evaluation code...”
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LMS-Net: A Learned Mumford-Shah Network For Few-Shot Medical Image Segmentation di Zhang, Shengdong, Jia, Fan, Li, Xiang, Zhang, Hao, Shi, Jun, Ma, Liyan, Ying, Shihui

Sommario: “... into prototype update and mask update tasks, we propose an alternating optimization algorithm to solve...”
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Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data di Agarwal, Ishika, Hakkani-Tür, Dilek

Sommario: “... metrics and algorithms to calculate the influence of data using language models, which do not scale well...”
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Semantica: Decentralized Search using a LLM-Guided Semantic Tree Overlay di Neague, Petru, Stokkink, Quinten, Goel, Naman, Pouwelse, Johan

Sommario: “... and fulfill the promise of Semantic Overlay Networks. Our proposed algorithm, called Semantica, constructs a...”
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Blank Space: Adaptive Causal Coding for Streaming Communications Over Multi-Hop Networks di Gitik, Rivka, Waxman, Adina, Ginzach, Shai, Glam, Aviel, Cohen, Alejandro

Sommario: “... novel coding scheme designed to mitigate the triplet trade-off between throughput-delay-efficiency...”
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Inductive Synthesis of Inductive Heap Predicates -- Extended Version di Yang, Ziyi, Sergey, Ilya

Sommario: “... learning algorithm. The key contributions of our work are (a) the formulation of ILP-based learning only...”
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LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design di Wei, Renjie, Xu, Songqiang, Zhong, Linfeng, Yang, Zebin, Guo, Qingyu, Wang, Yuan, Wang, Runsheng, Li, Meng

Sommario: “.... In this paper, we propose LightMamba that co-designs the quantization algorithm and FPGA accelerator...”
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From Euler to AI: Unifying Formulas for Mathematical Constants di Raz, Tomer, Shalyt, Michael, Leibtag, Elyasheev, Kalisch, Rotem, Weinbaum, Shachar, Hadad, Yaron, Kaminer, Ido

Sommario: “... formulas. Our system combines Large Language Models (LLMs) for systematic formula harvesting, an LLM-code...”
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