Resultados de búsqueda - coding (algorithm OR (algorithmics OR algorithmicsics))

SlingBAG Pro: Accelerating point cloud-based iterative reconstruction for 3D photoacoustic imaging with arbitrary array geometries por Li, Shuang, Wang, Yibing, Gao, Jian, Kim, Chulhong, Choi, Seongwook, Zhang, Yu, Chen, Qian, Yao, Yao, Li, Changhui

Tabla de Contenidos: “… with fewer transducers. However, traditional iterative reconstruction algorithms struggle with irregular…”
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Optimization of Precipitate Segmentation Through Linear Genetic Programming of Image Processing por Williams, Kyle, Seltzman, Andrew

Tabla de Contenidos: “… development. We present a filtering and segmentation algorithm for detecting precipitates in FIB cross-section…”
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A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't) por Nayak, Nihal V., Rodriguez-Diaz, Paula, Hulkund, Neha, Beery, Sara, Alvarez-Melis, David

Tabla de Contenidos: “… analyzing the two core ingredients: data representation and selection algorithms. Our framework enables…”
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Efficient Optimization of High‐Quality Microwave Metasurface Absorbers Using a Random Forest‐Assisted Improved Estimation of Distribution Algorithm por Si‐Xing Liu, Shi‐Fei Tao, Fan Wu, Hao Wang

Tabla de Contenidos: “… numerous design parameters require high‐performance optimization algorithms. In this article, a random…”
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An Electrochemical/Thermodynamic Analytical Model for Hard‐Pack Lithium‐Ion Batteries in Engineering Education por Ligang Wang, Hangyang Li, Zhiliang Huang, Peng Wu, Jiayuan Huangfu

Tabla de Contenidos: “… and compact MATLAB code as an instructional tool for engineering education. The paper elucidates…”
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CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity por Bhatt, Aditya, Palenicek, Daniel, Belousov, Boris, Argus, Max, Amiranashvili, Artemij, Brox, Thomas, Peters, Jan

Tabla de Contenidos: “…Sample efficiency is a crucial problem in deep reinforcement learning. Recent algorithms…”
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Communication-Efficient Federated Learning with Accelerated Client Gradient por Kim, Geeho, Kim, Jinkyu, Han, Bohyung

Tabla de Contenidos: “… to reduce bias and improve the stability of our algorithm. We provide the theoretical convergence rate…”
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Non-conjugate variational Bayes for pseudo-likelihood mixed effect models por Castiglione, Cristian, Bernardi, Mauro

Tabla de Contenidos: “…We propose a unified, yet simple to code, non-conjugate variational Bayes algorithm for posterior…”
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A generalizable framework for low-rank tensor completion with numerical priors por Yuan, Shiran, Huang, Kaizhu

Tabla de Contenidos: “… the algorithms from reaching optimal accuracy. Despite the existence of some individual works which consider ad…”
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On the Effective Horizon of Inverse Reinforcement Learning por Xu, Yiqing, Doshi-Velez, Finale, Hsu, David

Tabla de Contenidos: “…Inverse reinforcement learning (IRL) algorithms often rely on (forward) reinforcement learning…”
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PyTomography: A Python Library for Medical Image Reconstruction por Polson, Lucas A., Fedrigo, Roberto, Li, Chenguang, Sabouri, Maziar, Dzikunu, Obed, Ahamed, Shadab, Karakatsanis, Nikolaos, Sheikhzadeh, Peyman, Esquinas, Pedro, Rahmim, Arman, Uribe, Carlos

Tabla de Contenidos: “… backend code to encourage community contributions and (ii) offer support for the multitude…”
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On the Reduction of the Spherical Point-in-Polygon Problem for Antipode-Excluding Spherical Polygons por Li, Ziqiang, Sun, Jindi

Tabla de Contenidos: “… algorithm, solve SPiP correctly and efficiently for BAE spherical polygons. The MATLAB code provided…”
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RELAX: Reinforcement Learning Enabled 2D-LiDAR Autonomous System for Parsimonious UAVs por Wu, Guanlin, Zhao, Zhuokai, He, Yutao

Tabla de Contenidos: “… algorithms that enable UAVs to navigate through complex unknown environments autonomously, they often require…”
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Zero-Shot Reinforcement Learning from Low Quality Data por Jeen, Scott, Bewley, Tom, Cullen, Jonathan M.

Tabla de Contenidos: “… inspired by conservatism, a well-established feature of performant single-task offline RL algorithms. We…”
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Context-Aware Meta-Learning por Fifty, Christopher, Duan, Dennis, Junkins, Ronald G., Amid, Ehsan, Leskovec, Jure, Re, Christopher, Thrun, Sebastian

Tabla de Contenidos: “… and/or fine-tuning on similar objects. In this work, we propose a meta-learning algorithm that emulates Large…”
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Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge por Wodzinski, Marek, Müller, Henning

Tabla de Contenidos: “… to the SEG.A challenge organized during the MICCAI 2023 conference. We propose a fully automated algorithm…”
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Symmetric Exponential Time Requires Near-Maximum Circuit Size: Simplified, Truly Uniform por Li, Zeyong

Tabla de Contenidos: “…{SIZE}[2^n/n]$ by giving a single-valued $\mathsf{FS_2P}$ algorithm for the Range Avoidance Problem…”
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Weight-Sharing Regularization por Shakerinava, Mehran, Sohrabi, Motahareh, Ravanbakhsh, Siamak, Lacoste-Julien, Simon

Tabla de Contenidos: “… existing algorithms for $\operatorname{prox}_\mathcal{R}$ (to run on GPU) and find that one of them is fast…”
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Reconciling Spatial and Temporal Abstractions for Goal Representation por Zadem, Mehdi, Mover, Sergio, Nguyen, Sao Mai

Tabla de Contenidos: “…Goal representation affects the performance of Hierarchical Reinforcement Learning (HRL) algorithms…”
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Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback por Gao, Songyang, Ge, Qiming, Shen, Wei, Dou, Shihan, Ye, Junjie, Wang, Xiao, Zheng, Rui, Zou, Yicheng, Chen, Zhi, Yan, Hang, Zhang, Qi, Lin, Dahua

Tabla de Contenidos: “… algorithms, such as PPO, are hampered by complex annotation and training requirements. This reliance limits…”
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