Risultati della ricerca - coding (algorithmics OR (algorithm OR (Algorithmsssics OR (algorithm OR algorithm))))

ORCAS Codes: A Flexible Generalization of Polar Codes with Low-Complexity Decoding di Zunker, Andreas, Rübenacke, Marvin, Brink, Stephan ten

Sommario: “...Motivated by the need for channel codes with low-complexity soft-decision decoding algorithms, we...”
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A rational approximation of the two-term Machin-like formula for $π$ di Abrarov, Sanjar M., Siddiqui, Rehan, Jagpal, Rajinder Kumar, Quine, Brendan M.

Sommario: “... an algorithm for computing digits of $π$ by using its rational approximation. In this approximation, both terms...”
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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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Radio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experiments di Jaensch, Fabian, Caire, Giuseppe, Demir, Begüm

Sommario: “...Over the last years, several works have explored the application of deep learning algorithms...”
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Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety di Moller, Korbinian, Trauth, Rainer, Betz, Johannes

Sommario: “... into motion planner algorithms. We present critical real-world scenarios to evaluate our module and apply our...”
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Hierarchical Spatial Proximity Reasoning for Vision-and-Language Navigation di Xu, Ming, Xie, Zilong

Sommario: “...Most Vision-and-Language Navigation (VLN) algorithms are prone to making inaccurate decisions due...”
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