Risultati della ricerca - (coding OR (endedededededededededededededededededededededededededecoding OR Decoding)) algorithm

Error Mitigation of Fault-Tolerant Quantum Circuits with Soft Information di Zhou, Zeyuan, Pexton, Shaun, Kubica, Aleksander, Ding, Yongshan

Sommario: “... protocols. As a proof of principle, we benchmark our approach using a surface-code architecture and two...”
Testo

QuantumSavory: Write Symbolically, Run on Any Backend -- A Unified Simulation Toolkit for Quantum Computing and Networking di KimLee, Hana, Bacciottini, Leonardo, Bhatt, Abhishek, Kille, Andrew, Krastanov, Stefan

Sommario: “...-level noise and heterogeneous hardware, algorithmic structure, and distributed classical control. We...”
Testo

Taming the Memory Footprint Crisis: System Design for Production Diffusion LLM Serving di Fan, Jiakun, Zhang, Yanglin, Li, Xiangchen, Nikolopoulos, Dimitrios S.

Sommario: “... algorithmic sparsity into tangible wall-clock acceleration across heterogeneous hardware. The code...”
Testo

DeepGuard: Defending Deep Joint Source-Channel Coding Against Eavesdropping at Physical-Layer di Chi, Kaiyi, He, Yinghui, Yang, Qianqian, Shu, Yuanchao, Wang, Zhiqin, Luo, Jun, Chen, Jiming

Sommario: “...Deep joint source-channel coding (DeepJSCC) has emerged as a promising paradigm for efficient...”
Testo

Uncovering Patterns of Brain Activity from EEG Data Consistently Associated with Cybersickness Using Neural Network Interpretability Maps di Yau, Jacqueline, Mimnaugh, Katherine J., Center, Evan G., Ojala, Timo, LaValle, Steven M., Yuan, Wenzhen, Amato, Nancy, Kim, Minje, Federmeier, Kara D.

Sommario: “... in real time, machine learning algorithms which can extract meaningful signals from the rest of the brain...”
Testo

LibContinual: A Comprehensive Library towards Realistic Continual Learning di Li, Wenbin, Liu, Shangge, Kang, Borui, Chen, Yiyang, Lew, KaXuan, Chen, Yang, Shi, Yinghuan, Wang, Lei, Gao, Yang, Luo, Jiebo

Sommario: “..., LibContinual integrates 19 representative algorithms across five major methodological categories, providing a...”
Testo

SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement Learning di Chng, Yong Xien, Hu, Tao, Tong, Wenwen, Li, Xueheng, Chen, Jiandong, Yu, Haojia, Lu, Jiefan, Guo, Hewei, Deng, Hanming, Xie, Chengjun, Huang, Gao, Lin, Dahua, Lu, Lewei

Sommario: “... Sequence Policy Optimization (BN-GSPO) algorithm to improve the training stability and advance the model...”
Testo

GRL-SNAM: Geometric Reinforcement Learning with Path Differential Hamiltonians for Simultaneous Navigation and Mapping in Unknown Environments di Ellendula, Aditya Sai, Wang, Yi, Nguyen, Minh, Bajaj, Chandrajit

Sommario: “... preemptive navigation algorithms and other reinforcement learning methods by relying exclusively on local...”
Testo

Self-Supervised Animal Identification for Long Videos di Fang, Xuyang, Hannuna, Sion, Simpson, Edwin, Campbell, Neill

Sommario: “... with the Hungarian algorithm for in-batch pseudo-label assignment, our method learns discriminative features without...”
Testo

SDCoNet: Saliency-Driven Multi-Task Collaborative Network for Remote Sensing Object Detection di Qi, Ruo, Dai, Linhui, Qin, Yusong, Yang, Chaolei, Li, Yanshan

Sommario: “... outperforms existing mainstream algorithms in small object detection on low-quality remote sensing images. Our...”
Testo

SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detection di Zhang, Wei, Liu, Xiang, Liu, Ningjing, Liu, Mingxin, Liao, Wei, Xu, Chunyan, Yang, Xue

Sommario: “... to prohibitively high costs. Based on the supervision level, existing oriented object detection algorithms can...”
Testo

Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering di Liu, Yunhui, Qiu, Pengyu, Xing, Yu, Liu, Yongchao, Du, Peng, Hong, Chuntao, Zheng, Jiajun, Zheng, Tao, He, Tieke

Sommario: “... for a wide array of state-of-the-art AGC algorithms. Our benchmark curates 12 diverse datasets, ranging...”
Testo

The contribution of neutral gas to Faraday tomographic data at low frequencies. A first extensive comparison between real and synthetic data di Berat, Jack, Miville-Deschênes, Marc-Antoine, Bracco, Andrea, Hennebelle, Patrick, Scholtys, Jeremy

Sommario: “... to the magnetic field. We developed MOOSE, a code to generate synthetic synchrotron polarization and Faraday...”
Testo

TreeCUA: Efficiently Scaling GUI Automation with Tree-Structured Verifiable Evolution di Jiang, Deyang, Huang, Jing, Zhao, Xuanle, Chen, Lei, Zheng, Liming, Liu, Fanfan, Qiu, Haibo, Shi, Peng, Zeng, Zhixiong

Sommario: “... topology to store and replay duplicate exploration nodes, and design an adaptive exploration algorithm...”
Testo

TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees di Li, Weida, Yu, Yaoliang, Low, Bryan Kian Hsiang

Sommario: “... feature rankings, and TreeGrad-Shap, a numerically stable algorithm for computing Beta Shapley values...”
Testo

SpecFuse: A Spectral-Temporal Fusion Predictive Control Framework for UAV Landing on Oscillating Marine Platforms di Liu, Haichao, Hu, Yufeng, Wang, Shuang, Guo, Kangjun, Ma, Jun, Zhou, Jinni

Sommario: “... architecture featuring a sampling-based HPO-RRT* algorithm for dynamic trajectory planning under non-convex...”
Testo

Self-Consistent Dynamics of Electron Radiation Reaction via Structure-Preserving Geometric Algorithms for Coupled Schrödinger-Maxwell Systems di Molina, Jacob Matthew, Qin, Hong

Sommario: “... has long limited purely analytical studies. We present geometric structure-preserving algorithms...”
Testo

Computational Complexity of Edge Coverage Problem for Constrained Control Flow Graphs di Ruszil, Jakub, Polański, Artur, Roman, Adam, Zelek, Jakub

Sommario: “.... Achieving a given level of white-box coverage for a given code is a classic problem in software testing. We...”
Testo

Interactive Medical-SAM2 GUI: A Napari-based semi-automatic annotation tool for medical images di Hong, Woojae, Hwang, Jong Ha, Chung, Jiyong, Choi, Joongyeon, Kim, Hyunngun, Kim, Yong Hwy

Sommario: “... for developing and validating medical imaging algorithms, yet manual labeling is slow and expensive for 3D scans...”
Testo

vLLM Semantic Router: Signal Driven Decision Routing for Mixture-of-Modality Models di Liu, Xunzhuo, Chen, Huamin, Lu, Samzong, Ovadia, Yossi, Wen, Guohong, Wu, Hao, Tan, Zhengda, Zhang, Jintao, Zedan, Senan, Kerido, Yehudit, Weiss, Liav, Zhang, Haichen, Yu, Bishen, Balum, Asaad, Limoy, Noa, Samara, Abdallah, Fan, Baofa, Salisbury, Brent, Cook, Ryan, Wang, Zhijie, Pan, Qiping, Khan, Rehan, Goswami, Avishek, Zhang, Houston H., Wang, Shuyi, Tang, Ziang, Han, Fang, Hassan, Zohaib, Zheng, Jianqiao, Changrani, Avinash

Sommario: “... -- are expressed as different signal-decision configurations over the same architecture, without code changes...”
Testo