Résultats de la recherche - decoding (algorithmsssic OR algorithm)

Coding-Enhanced Cooperative Jamming for Secret Communication: The MIMO Case par Xu, Hao, Wong, Kai-Kit, Xu, Yinfei, Caire, Giuseppe

Table des matières: “…, the EJ scheme enables Bob to decode the jamming codeword and thus cancel the interference, while Eve…”
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Graph Network Surrogate Model for Subsurface Flow Optimization par Tang, Haoyu, Durlofsky, Louis J.

Table des matières: “… transforms the flow model into a computational graph that involves an encoding-processing-decoding…”
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DUSt3R: Geometric 3D Vision Made Easy par Wang, Shuzhe, Leroy, Vincent, Cabon, Yohann, Chidlovskii, Boris, Revaud, Jerome

Table des matières: “… algorithms. In this work, we take an opposite stance and introduce DUSt3R, a radically novel paradigm…”
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Large Scale Training of Graph Neural Networks for Optimal Markov-Chain Partitioning Using the Kemeny Constant par Martino, Sam Alexander, Morado, João, Li, Chenghao, Lu, Zhenghao, Rosta, Edina

Table des matières: “…Traditional clustering algorithms often struggle to capture the complex relationships within graphs…”
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Exploring descriptors for titanium microstructure via digital fingerprints from variational autoencoders par White, Michael D., Haribabu, Gowtham Nimmal, Jegadeesan, Jeyapriya Thimukonda, Basu, Bikramjit, Withers, Philip J., Race, Chris P.

Table des matières: “… drawn by ML algorithms, which are commonly referred to as "black boxes". Here we explore variational…”
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RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model par Wang, Mingze, Su, Lili, Yan, Cilin, Xu, Sheng, Yuan, Pengcheng, Jiang, Xiaolong, Zhang, Baochang

Table des matières: “… and diversity of remote sensing image scenes pose additional challenges, as most algorithms are designed…”
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PosSAM: Panoptic Open-vocabulary Segment Anything par VS, Vibashan, Borse, Shubhankar, Park, Hyojin, Das, Debasmit, Patel, Vishal, Hayat, Munawar, Porikli, Fatih

Table des matières: “…. While SAM excels in generating spatially-aware masks, it's decoder falls short in recognizing object…”
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Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning par Dou, Jizhe, Zhang, Haotian, Sun, Guodong

Table des matières: “… learning algorithm to generate latent continuous actions. Motivated by representation learning, we…”
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Bin Packing Optimization via Deep Reinforcement Learning par Wang, Baoying, Dong, Huixu

Table des matières: “…, such as the genetic algorithm (GA), emerge as the main issues in highly computational cost and relatively low accuracy…”
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FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model par Song, Zezheng, Yuan, Jiaxin, Yang, Haizhao

Table des matières: “… simulation of dynamical systems. Built on a decoder-only transformer architecture with in-context learning…”
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Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation par Gong, Nanxu, Ying, Wangyang, Wang, Dongjie, Fu, Yanjie

Table des matières: “… of feature subset redundancy. Building on the collected data, an encoder-decoder-evaluator learning paradigm…”
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Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics par Kutz, J. Nathan, Reza, Maryam, Faraji, Farbod, Knoll, Aaron

Table des matières: “…}\times {\bf B}$ technologies, stand to significantly benefit from reduced order modeling algorithms. We…”
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Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds par Chandra, Rohan, Karnan, Haresh, Mehr, Negar, Stone, Peter, Biswas, Joydeep

Table des matières: “… present a new multi-agent maximum entropy inverse reinforcement learning algorithm for real world…”
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Near-Field Mobile Tracking: A Framework of Using XL-RIS Information par Wu, Tuo, Pan, Cunhua, Zhi, Kangda, Yao, Junteng, Ren, Hong, Elkashlan, Maged, Yuen, Chau

Table des matières: “…-IR) algorithm to reconstruct the high-dimensional XL-RIS information from the low-dimensional BS…”
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A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image Fusion par Zhang, Xiaoli, Wang, Liying, Zhao, Libo, Li, Xiongfei, Ma, Siwei

Table des matières: “…-branch encoder-decoder architecture along with corresponding fusion layers as the fusion strategy…”
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Enhancing Electrocardiogram Signal Analysis Using NLP-Inspired Techniques: A Novel Approach with Embedding and Self-Attention par Ganguly, Prapti, Ansar, Wazib, Chakrabarti, Amlan

Table des matières: “… language, it is conceivable to create NLP-inspired algorithms to help computers comprehend…”
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Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Load Balancing par Jain, Kunal, Parayil, Anjaly, Mallick, Ankur, Choukse, Esha, Qin, Xiaoting, Zhang, Jue, Goiri, Íñigo, Wang, Rujia, Bansal, Chetan, Rühle, Victor, Kulkarni, Anoop, Kofsky, Steve, Rajmohan, Saravan

Table des matières: “…Large Language Model (LLM) workloads have distinct prefill and decode phases with different compute…”
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The Mamba in the Llama: Distilling and Accelerating Hybrid Models par Wang, Junxiong, Paliotta, Daniele, May, Avner, Rush, Alexander M., Dao, Tri

Table des matières: “… speculative decoding algorithm that accelerates the inference speed of Mamba and hybrid models. Overall we…”
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Retrofitting Temporal Graph Neural Networks with Transformer par Huang, Qiang, Yan, Xiao, Wang, Xin, Rao, Susie Xi, Han, Zhichao, Fu, Fangcheng, Zhang, Wentao, Jiang, Jiawei

Table des matières: “… decoder as the backbone model for TGNN to enjoy Transformer's codebase for efficient training…”
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OPUS: Occupancy Prediction Using a Sparse Set par Wang, Jiabao, Liu, Zhaojiang, Meng, Qiang, Yan, Liujiang, Wang, Ke, Yang, Jie, Liu, Wei, Hou, Qibin, Cheng, Ming-Ming

Table des matières: “… voxels necessitates complex algorithm designs. To this end, we present a novel perspective…”
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