Suchergebnisse - (endedededededededededededededededededededededededeDecoding OR coding) (algorithmics OR algorithm)

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

Inhaltsangabe: “… 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 von Williams, Kyle, Seltzman, Andrew

Inhaltsangabe: “… 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) von Nayak, Nihal V., Rodriguez-Diaz, Paula, Hulkund, Neha, Beery, Sara, Alvarez-Melis, David

Inhaltsangabe: “… 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 von Si‐Xing Liu, Shi‐Fei Tao, Fan Wu, Hao Wang

Inhaltsangabe: “… 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 von Ligang Wang, Hangyang Li, Zhiliang Huang, Peng Wu, Jiayuan Huangfu

Inhaltsangabe: “… 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 von Bhatt, Aditya, Palenicek, Daniel, Belousov, Boris, Argus, Max, Amiranashvili, Artemij, Brox, Thomas, Peters, Jan

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

Inhaltsangabe: “… 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 von Castiglione, Cristian, Bernardi, Mauro

Inhaltsangabe: “… 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 von Yuan, Shiran, Huang, Kaizhu

Inhaltsangabe: “… 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 von Xu, Yiqing, Doshi-Velez, Finale, Hsu, David

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

Inhaltsangabe: “… 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 von Li, Ziqiang, Sun, Jindi

Inhaltsangabe: “… 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 von Wu, Guanlin, Zhao, Zhuokai, He, Yutao

Inhaltsangabe: “… 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 von Jeen, Scott, Bewley, Tom, Cullen, Jonathan M.

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

Inhaltsangabe: “… 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 von Wodzinski, Marek, Müller, Henning

Inhaltsangabe: “… 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 von Li, Zeyong

Inhaltsangabe: “… {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 von Shakerinava, Mehran, Sohrabi, Motahareh, Ravanbakhsh, Siamak, Lacoste-Julien, Simon

Inhaltsangabe: “… 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 von Zadem, Mehdi, Mover, Sergio, Nguyen, Sao Mai

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

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