Suchergebnisse - decoding ((algorithmics OR algorithmics) OR (algorithm OR (algorithm OR Algorithmsicsics)))

Large Scale Training of Graph Neural Networks for Optimal Markov-Chain Partitioning Using the Kemeny Constant von Martino, Sam Alexander, Morado, João, Li, Chenghao, Lu, Zhenghao, Rosta, Edina

Inhaltsangabe: “… 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 von White, Michael D., Haribabu, Gowtham Nimmal, Jegadeesan, Jeyapriya Thimukonda, Basu, Bikramjit, Withers, Philip J., Race, Chris P.

Inhaltsangabe: “… 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 von Wang, Mingze, Su, Lili, Yan, Cilin, Xu, Sheng, Yuan, Pengcheng, Jiang, Xiaolong, Zhang, Baochang

Inhaltsangabe: “… 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 von VS, Vibashan, Borse, Shubhankar, Park, Hyojin, Das, Debasmit, Patel, Vishal, Hayat, Munawar, Porikli, Fatih

Inhaltsangabe: “… . 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 von Dou, Jizhe, Zhang, Haotian, Sun, Guodong

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

Inhaltsangabe: “… , 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 von Song, Zezheng, Yuan, Jiaxin, Yang, Haizhao

Inhaltsangabe: “… 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 von Gong, Nanxu, Ying, Wangyang, Wang, Dongjie, Fu, Yanjie

Inhaltsangabe: “… 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 von Kutz, J. Nathan, Reza, Maryam, Faraji, Farbod, Knoll, Aaron

Inhaltsangabe: “… }\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 von Chandra, Rohan, Karnan, Haresh, Mehr, Negar, Stone, Peter, Biswas, Joydeep

Inhaltsangabe: “… 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 von Wu, Tuo, Pan, Cunhua, Zhi, Kangda, Yao, Junteng, Ren, Hong, Elkashlan, Maged, Yuen, Chau

Inhaltsangabe: “… -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 von Zhang, Xiaoli, Wang, Liying, Zhao, Libo, Li, Xiongfei, Ma, Siwei

Inhaltsangabe: “… -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 von Ganguly, Prapti, Ansar, Wazib, Chakrabarti, Amlan

Inhaltsangabe: “… 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 von 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

Inhaltsangabe: “… 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 von Wang, Junxiong, Paliotta, Daniele, May, Avner, Rush, Alexander M., Dao, Tri

Inhaltsangabe: “… 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 von Huang, Qiang, Yan, Xiao, Wang, Xin, Rao, Susie Xi, Han, Zhichao, Fu, Fangcheng, Zhang, Wentao, Jiang, Jiawei

Inhaltsangabe: “… 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 von Wang, Jiabao, Liu, Zhaojiang, Meng, Qiang, Yan, Liujiang, Wang, Ke, Yang, Jie, Liu, Wei, Hou, Qibin, Cheng, Ming-Ming

Inhaltsangabe: “… voxels necessitates complex algorithm designs. To this end, we present a novel perspective …”
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Reduced bit median quantization: A middle process for Efficient Image Compression von Abebayew, Fikresilase Wondmeneh

Inhaltsangabe: “… the former problem by applying one specific or a combination of different algorithms. However, none …”
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Game of Coding: Sybil Resistant Decentralized Machine Learning with Minimal Trust Assumption von Nodehi, Hanzaleh Akbari, Cadambe, Viveck R., Maddah-Ali, Mohammad Ali

Inhaltsangabe: “… their rewards (utility) by ensuring that the decoder, as the data collector (DC), successfully recovers the data …”
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Nudging: Inference-time Alignment of LLMs via Guided Decoding von Fei, Yu, Razeghi, Yasaman, Singh, Sameer

Inhaltsangabe: “… computational overhead. In this work, we propose NUDGING, a simple, training-free algorithm that aligns any base …”
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