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

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

Sommario: “...Traditional clustering algorithms often struggle to capture the complex relationships within graphs...”
Testo

Exploring descriptors for titanium microstructure via digital fingerprints from variational autoencoders di White, Michael D., Haribabu, Gowtham Nimmal, Jegadeesan, Jeyapriya Thimukonda, Basu, Bikramjit, Withers, Philip J., Race, Chris P.

Sommario: “... drawn by ML algorithms, which are commonly referred to as "black boxes". Here we explore variational...”
Testo

RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model di Wang, Mingze, Su, Lili, Yan, Cilin, Xu, Sheng, Yuan, Pengcheng, Jiang, Xiaolong, Zhang, Baochang

Sommario: “... and diversity of remote sensing image scenes pose additional challenges, as most algorithms are designed...”
Testo

PosSAM: Panoptic Open-vocabulary Segment Anything di VS, Vibashan, Borse, Shubhankar, Park, Hyojin, Das, Debasmit, Patel, Vishal, Hayat, Munawar, Porikli, Fatih

Sommario: “.... While SAM excels in generating spatially-aware masks, it's decoder falls short in recognizing object...”
Testo

Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning di Dou, Jizhe, Zhang, Haotian, Sun, Guodong

Sommario: “... learning algorithm to generate latent continuous actions. Motivated by representation learning, we...”
Testo

Bin Packing Optimization via Deep Reinforcement Learning di Wang, Baoying, Dong, Huixu

Sommario: “..., such as the genetic algorithm (GA), emerge as the main issues in highly computational cost and relatively low accuracy...”
Testo

FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model di Song, Zezheng, Yuan, Jiaxin, Yang, Haizhao

Sommario: “... simulation of dynamical systems. Built on a decoder-only transformer architecture with in-context learning...”
Testo

Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation di Gong, Nanxu, Ying, Wangyang, Wang, Dongjie, Fu, Yanjie

Sommario: “... of feature subset redundancy. Building on the collected data, an encoder-decoder-evaluator learning paradigm...”
Testo

Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics di Kutz, J. Nathan, Reza, Maryam, Faraji, Farbod, Knoll, Aaron

Sommario: “...}\times {\bf B}$ technologies, stand to significantly benefit from reduced order modeling algorithms. We...”
Testo

Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds di Chandra, Rohan, Karnan, Haresh, Mehr, Negar, Stone, Peter, Biswas, Joydeep

Sommario: “... present a new multi-agent maximum entropy inverse reinforcement learning algorithm for real world...”
Testo

Near-Field Mobile Tracking: A Framework of Using XL-RIS Information di Wu, Tuo, Pan, Cunhua, Zhi, Kangda, Yao, Junteng, Ren, Hong, Elkashlan, Maged, Yuen, Chau

Sommario: “...-IR) algorithm to reconstruct the high-dimensional XL-RIS information from the low-dimensional BS...”
Testo

A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image Fusion di Zhang, Xiaoli, Wang, Liying, Zhao, Libo, Li, Xiongfei, Ma, Siwei

Sommario: “...-branch encoder-decoder architecture along with corresponding fusion layers as the fusion strategy...”
Testo

Enhancing Electrocardiogram Signal Analysis Using NLP-Inspired Techniques: A Novel Approach with Embedding and Self-Attention di Ganguly, Prapti, Ansar, Wazib, Chakrabarti, Amlan

Sommario: “... language, it is conceivable to create NLP-inspired algorithms to help computers comprehend...”
Testo

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Load Balancing di 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

Sommario: “...Large Language Model (LLM) workloads have distinct prefill and decode phases with different compute...”
Testo

The Mamba in the Llama: Distilling and Accelerating Hybrid Models di Wang, Junxiong, Paliotta, Daniele, May, Avner, Rush, Alexander M., Dao, Tri

Sommario: “... speculative decoding algorithm that accelerates the inference speed of Mamba and hybrid models. Overall we...”
Testo

Retrofitting Temporal Graph Neural Networks with Transformer di Huang, Qiang, Yan, Xiao, Wang, Xin, Rao, Susie Xi, Han, Zhichao, Fu, Fangcheng, Zhang, Wentao, Jiang, Jiawei

Sommario: “... decoder as the backbone model for TGNN to enjoy Transformer's codebase for efficient training...”
Testo

OPUS: Occupancy Prediction Using a Sparse Set di Wang, Jiabao, Liu, Zhaojiang, Meng, Qiang, Yan, Liujiang, Wang, Ke, Yang, Jie, Liu, Wei, Hou, Qibin, Cheng, Ming-Ming

Sommario: “... voxels necessitates complex algorithm designs. To this end, we present a novel perspective...”
Testo

Reduced bit median quantization: A middle process for Efficient Image Compression di Abebayew, Fikresilase Wondmeneh

Sommario: “... the former problem by applying one specific or a combination of different algorithms. However, none...”
Testo

Game of Coding: Sybil Resistant Decentralized Machine Learning with Minimal Trust Assumption di Nodehi, Hanzaleh Akbari, Cadambe, Viveck R., Maddah-Ali, Mohammad Ali

Sommario: “... their rewards (utility) by ensuring that the decoder, as the data collector (DC), successfully recovers the data...”
Testo

Nudging: Inference-time Alignment of LLMs via Guided Decoding di Fei, Yu, Razeghi, Yasaman, Singh, Sameer

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