Risultati della ricerca - coding (Algorithmssssics OR (algorithm OR (Algorithmssssics OR (algorithmicsics OR algorithm))))

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

Sommario: “... 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 di Williams, Kyle, Seltzman, Andrew

Sommario: “... 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) di Nayak, Nihal V., Rodriguez-Diaz, Paula, Hulkund, Neha, Beery, Sara, Alvarez-Melis, David

Sommario: “... 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 di Si‐Xing Liu, Shi‐Fei Tao, Fan Wu, Hao Wang

Sommario: “... 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 di Ligang Wang, Hangyang Li, Zhiliang Huang, Peng Wu, Jiayuan Huangfu

Sommario: “... 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 di Bhatt, Aditya, Palenicek, Daniel, Belousov, Boris, Argus, Max, Amiranashvili, Artemij, Brox, Thomas, Peters, Jan

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

Sommario: “... 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 di Castiglione, Cristian, Bernardi, Mauro

Sommario: “...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 di Yuan, Shiran, Huang, Kaizhu

Sommario: “... 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 di Xu, Yiqing, Doshi-Velez, Finale, Hsu, David

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

Sommario: “... 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 di Li, Ziqiang, Sun, Jindi

Sommario: “... 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 di Wu, Guanlin, Zhao, Zhuokai, He, Yutao

Sommario: “... 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 di Jeen, Scott, Bewley, Tom, Cullen, Jonathan M.

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

Sommario: “... 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 di Wodzinski, Marek, Müller, Henning

Sommario: “... 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 di Li, Zeyong

Sommario: “...{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 di Shakerinava, Mehran, Sohrabi, Motahareh, Ravanbakhsh, Siamak, Lacoste-Julien, Simon

Sommario: “... 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 di Zadem, Mehdi, Mover, Sergio, Nguyen, Sao Mai

Sommario: “...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 di Gao, Songyang, Ge, Qiming, Shen, Wei, Dou, Shihan, Ye, Junjie, Wang, Xiao, Zheng, Rui, Zou, Yicheng, Chen, Zhi, Yan, Hang, Zhang, Qi, Lin, Dahua

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