Search Results - (endedededededededededededededededededededededededeDecoding OR coding) (algorithm OR algorithmics)

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

Table of Contents: “… 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 by Williams, Kyle, Seltzman, Andrew

Table of Contents: “… 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) by Nayak, Nihal V., Rodriguez-Diaz, Paula, Hulkund, Neha, Beery, Sara, Alvarez-Melis, David

Table of Contents: “… 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 by Si‐Xing Liu, Shi‐Fei Tao, Fan Wu, Hao Wang

Table of Contents: “… 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 by Ligang Wang, Hangyang Li, Zhiliang Huang, Peng Wu, Jiayuan Huangfu

Table of Contents: “… 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 by Bhatt, Aditya, Palenicek, Daniel, Belousov, Boris, Argus, Max, Amiranashvili, Artemij, Brox, Thomas, Peters, Jan

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

Table of Contents: “… 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 by Castiglione, Cristian, Bernardi, Mauro

Table of Contents: “…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 by Yuan, Shiran, Huang, Kaizhu

Table of Contents: “… 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 by Xu, Yiqing, Doshi-Velez, Finale, Hsu, David

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

Table of Contents: “… 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 by Li, Ziqiang, Sun, Jindi

Table of Contents: “… 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 by Wu, Guanlin, Zhao, Zhuokai, He, Yutao

Table of Contents: “… 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 by Jeen, Scott, Bewley, Tom, Cullen, Jonathan M.

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

Table of Contents: “… 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 by Wodzinski, Marek, Müller, Henning

Table of Contents: “… 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 by Li, Zeyong

Table of Contents: “…{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 by Shakerinava, Mehran, Sohrabi, Motahareh, Ravanbakhsh, Siamak, Lacoste-Julien, Simon

Table of Contents: “… 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 by Zadem, Mehdi, Mover, Sergio, Nguyen, Sao Mai

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

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