Risultati della ricerca - decoding (Algorithmsssic OR (algorithm OR (Algorithmsssic OR Algorithmsssic)))

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems di Feng, Shangbin, Wang, Zifeng, Goyal, Palash, Wang, Yike, Shi, Weijia, Xia, Huang, Palangi, Hamid, Zettlemoyer, Luke, Tsvetkov, Yulia, Lee, Chen-Yu, Pfister, Tomas

Sommario: “...We propose Heterogeneous Swarms, an algorithm to design multi-LLM systems by jointly optimizing...”
Testo

GigaSLAM: Large-Scale Monocular SLAM with Hierarchical Gaussian Splats di Deng, Kai, Zhang, Yigong, Yang, Jian, Xie, Jin

Sommario: “... hierarchical sparse voxel map representation, where Gaussians are decoded by neural networks at multiple levels...”
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Reducing the Communication of Distributed Model Predictive Control: Autoencoders and Formation Control di Schiz, Torben, Ebel, Henrik

Sommario: “... is reduced by the encoder part of the autoencoder prior to communication and reconstructed by the decoder...”
Testo

MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft di Guo, Junliang, Ye, Yang, He, Tianyu, Wu, Haoyu, Jiang, Yushu, Pearce, Tim, Bian, Jiang

Sommario: “.... In inference, we develop a novel parallel decoding algorithm that predicts the spatial redundant tokens in each...”
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STCL:Curriculum learning Strategies for deep learning image steganography models di Liu, Fengchun, Zhang, Tong, Zhang, Chunying

Sommario: “... multiple algorithmic frameworks, which not only has a high PSNR, SSIM score, and decoding accuracy...”
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Step1X-Edit: A Practical Framework for General Image Editing di Liu, Shiyu, Han, Yucheng, Xing, Peng, Yin, Fukun, Wang, Rui, Cheng, Wei, Liao, Jiaqi, Wang, Yingming, Fu, Honghao, Han, Chunrui, Li, Guopeng, Peng, Yuang, Sun, Quan, Wu, Jingwei, Cai, Yan, Ge, Zheng, Ming, Ranchen, Xia, Lei, Zeng, Xianfang, Zhu, Yibo, Jiao, Binxing, Zhang, Xiangyu, Yu, Gang, Jiang, Daxin

Sommario: “... manipulation. However, there is still a large gap between the open-source algorithm with these closed-source...”
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Modeling and Performance Analysis for Semantic Communications Based on Empirical Results di Ma, Shuai, Shen, Bin, Zhang, Chuanhui, Wu, Youlong, Li, Hang, Li, Shiyin, Shi, Guangming, Al-Dhahir, Naofal

Sommario: “...Due to the black-box characteristics of deep learning based semantic encoders and decoders, finding...”
Testo

CMAWRNet: Multiple Adverse Weather Removal via a Unified Quaternion Neural Architecture di Frants, Vladimir, Agaian, Sos, Panetta, Karen, Huang, Peter

Sommario: “... struggle with combinations of degradations, such as haze and rain-streak. Few algorithms have been...”
Testo

MRGRP: Empowering Courier Route Prediction in Food Delivery Service with Multi-Relational Graph di Liu, Chang, Yan, Huan, Sui, Hongjie, Wen, Haomin, Yuan, Yuan, Han, Yuyang, Liao, Hongsen, Ding, Xuetao, Hao, Jinghua, Li, Yong

Sommario: “... introduce a route decoder that leverages courier information and dynamic distance and time contexts...”
Testo

TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling di Lin, Weizhe, Li, Xing, Yang, Zhiyuan, Fu, Xiaojin, Zhen, Hui-Ling, Wang, Yaoyuan, Yu, Xianzhi, Liu, Wulong, Li, Xiaosong, Yuan, Mingxuan

Sommario: “..., but they incur significant decoding overhead. A key inefficiency source is LRMs often generate redundant thinking...”
Testo

Continuous Chain of Thought Enables Parallel Exploration and Reasoning di Gozeten, Halil Alperen, Ildiz, M. Emrullah, Zhang, Xuechen, Harutyunyan, Hrayr, Rawat, Ankit Singh, Oymak, Samet

Sommario: “... provides new theoretical guarantees and algorithms for CoT2, motivated by logical reasoning tasks...”
Testo

GP-MoLFormer-Sim: Test Time Molecular Optimization through Contextual Similarity Guidance di Navratil, Jiri, Ross, Jarret, Das, Payel, Mroueh, Youssef, Hoffman, Samuel C, Chenthamarakshan, Vijil, Belgodere, Brian

Sommario: “... of the decoding process, the method tracks the distance of the current generations from the target and updates...”
Testo

TransGI: Real-Time Dynamic Global Illumination With Object-Centric Neural Transfer Model di Deng, Yijie, Han, Lei, Fang, Lu

Sommario: “...Neural rendering algorithms have revolutionized computer graphics, yet their impact on real-time...”
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Private Training & Data Generation by Clustering Embeddings di Zhou, Felix, Zhou, Samson, Mirrokni, Vahab, Epasto, Alessandro, Cohen-Addad, Vincent

Sommario: “... algorithm. We introduce a novel principled method for DP synthetic image embedding generation, based...”
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UniTac-NV: A Unified Tactile Representation For Non-Vision-Based Tactile Sensors di Hou, Jian, Zhou, Xin, Yang, Qihan, Spiers, Adam J.

Sommario: “...Generalizable algorithms for tactile sensing remain underexplored, primarily due to the diversity...”
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Resolution Limits of Non-Adaptive 20 Questions Estimation for Tracking Multiple Moving Targets di Sun, Chunsong, Zhou, Lin, Wang, Jingjing, Yuan, Weijie, Jiang, Chunxiao, Hero, Alfred

Sommario: “... target locations. This single threshold decoding rule has reduced the computational complexity compared...”
Testo

Pinching-Antenna-Assisted Index Modulation: Channel Modeling, Transceiver Design, and Performance Analysis di Yang, Shuaixin, Li, Yijia, Xiao, Yue, Guan, Yong Liang, Lei, Xianfu, Ding, Zhiguo

Sommario: “...-optimized sphere decoding (BOSD) algorithm is designed, which adaptively prunes the search space whilst...”
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Quantum register based on double quantum dots in semiconductor nanowires di Vyurkov, Vladimir, Fedichkin, Leonid, Semenikhin, Igor, Drozhzhin, Denis, Rudenko, Konstantin, Lukichev, Vladimir

Sommario: “... (in-resonance or off-resonance). Therefore, a quantum algorithm could be effectuated via manipulation solely...”
Testo

Contrastive Language-Image Pre-Training Model based Semantic Communication Performance Optimization di Yang, Shaoran, Wei, Dongyu, Yu, Hanzhi, Yang, Zhaohui, Liu, Yuchen, Chen, Mingzhe

Sommario: “...) based semantic encoders and decoders that require joint training over a common dataset, our CLIP model...”
Testo

TransLPRNet: Lite Vision-Language Network for Single/Dual-line Chinese License Plate Recognition di Xu, Guangzhu, Ke, Zhi, Zuo, Pengcheng, Lei, Bangjun

Sommario: “... unified solution that integrates a lightweight visual encoder with a text decoder, within a pre-training...”
Testo