Risultati della ricerca - coding algorithm

Molecular Generative Adversarial Network with Multi-Property Optimization di Tang, Huidong, Li, Chen, Kamei, Sayaka, Yamanishi, Yoshihiro, Morimoto, Yasuhiko

Sommario: “... (RL) algorithms, particularly Monte Carlo tree search (MCTS), to handle the discrete nature...”
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JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients di Han, Woo Kyoung, Im, Sunghoon, Kim, Jaedeok, Jin, Kyong Hwan

Sommario: “... representation with continuous cosine formulation. The JPEG algorithm significantly quantizes discrete cosine...”
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Evaluating Alternatives to SFM Point Cloud Initialization for Gaussian Splatting di Foroutan, Yalda, Rebain, Daniel, Yi, Kwang Moo, Tagliasacchi, Andrea

Sommario: “... by Structure-from-Motion (SFM) algorithms is a significant limitation to be overcome. To this end, we...”
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Alice's Adventures in a Differentiable Wonderland -- Volume I, A Tour of the Land di Scardapane, Simone

Sommario: “..., molecular discovery algorithms, robotics, and much more. Stripped of anything else, neural networks...”
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A real-time, robust and versatile visual-SLAM framework based on deep learning networks di Xiao, Zhang, Li, Shuaixin

Sommario: “... outperforms state-of-the-art SLAM algorithms in terms of localization accuracy and tracking robustness...”
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Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis di Hu, Guanyu, Papadopoulou, Eleni, Kollias, Dimitrios, Tzouveli, Paraskevi, Wei, Jie, Yang, Xinyu

Sommario: “...The increasing integration of machine learning algorithms in daily life underscores the critical...”
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Adaptable and Reliable Text Classification using Large Language Models di Wang, Zhiqiang, Pang, Yiran, Lin, Yanbin, Zhu, Xingquan

Sommario: “... evaluated the performance of several LLMs, machine learning algorithms, and neural network-based...”
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Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and Practice di Jiao, Yusheng, Ling, Feng, Heydari, Sina, Heess, Nicolas, Merel, Josh, Kanso, Eva

Sommario: “... for sensing and actuation in robotic systems. Algorithms and code implementing both learning agents...”
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Compiler support for semi-manual AoS-to-SoA conversions with data views di Radtke, Pawel K., Weinzierl, Tobias

Sommario: “... the computation. Whether AoS or SoA is favourable depends on the execution context and algorithm step. We propose...”
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A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning di Almuzairee, Abdulaziz, Hansen, Nicklas, Christensen, Henrik I.

Sommario: “...Q-learning algorithms are appealing for real-world applications due to their data-efficiency...”
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Generative Active Learning for Long-tailed Instance Segmentation di Zhu, Muzhi, Fan, Chengxiang, Chen, Hao, Liu, Yang, Mao, Weian, Xu, Xiaogang, Shen, Chunhua

Sommario: “.... Subsequently, we propose BSGAL, a new algorithm that online estimates the contribution of the generated data...”
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Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks di Lee, Hojoon, Cho, Hyeonseo, Kim, Hyunseung, Kim, Donghu, Min, Dugki, Choo, Jaegul, Lyle, Clare

Sommario: “..., which improves advanced reinforcement learning algorithms on the Atari-100k benchmark. The code...”
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RRLS : Robust Reinforcement Learning Suite di Zouitine, Adil, Bertoin, David, Clavier, Pierre, Geist, Matthieu, Rachelson, Emmanuel

Sommario: “... for deploying algorithms in real-world scenarios with prevalent environmental uncertainties and has been a long...”
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ChaosMining: A Benchmark to Evaluate Post-Hoc Local Attribution Methods in Low SNR Environments di Shi, Ge, Kan, Ziwen, Smucny, Jason, Davidson, Ian

Sommario: “... elimination (RFE) algorithm, enhancing its applicability for neural networks. Our experiments highlight its...”
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Efficient Human Pose Estimation: Leveraging Advanced Techniques with MediaPipe di Sengar, Sandeep Singh, Kumar, Abhishek, Singh, Owen

Sommario: “... by comprehensively optimising the underlying algorithms. Novel modifications are introduced that substantially...”
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VDG: Vision-Only Dynamic Gaussian for Driving Simulation di Li, Hao, Li, Jingfeng, Zhang, Dingwen, Wu, Chenming, Shi, Jieqi, Zhao, Chen, Feng, Haocheng, Ding, Errui, Wang, Jingdong, Han, Junwei

Sommario: “... by Structure from Motion (SfM) algorithms or expensive sensors. For the first time, this paper addresses...”
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EAGERx: Graph-Based Framework for Sim2real Robot Learning di van der Heijden, Bas, Luijkx, Jelle, Ferranti, Laura, Kober, Jens, Babuska, Robert

Sommario: “..., and proposed synchronization algorithm contribute to narrowing the sim2real gap. We demonstrate (in the context...”
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The Physics of Learning: From Autoencoders to Truly Autonomous Learning Machines di Ushveridze, Alex

Sommario: “... for unsupervised efficient coding. We use this model to demonstrate how progressive paradigm shifts can profoundly...”
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CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation di Wei, Chen, Zou, Jiachen, Heinke, Dietmar, Liu, Quanying

Sommario: “... into similarity judgment tasks. CoCoG-2 utilizes a training-free guidance algorithm to enhance generation...”
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Semantic-Enabled 6G Communication: A Task-oriented and Privacy-preserving Perspective di Guo, Shuaishuai, Zhang, Anbang, Wang, Yanhu, Feng, Chenyuan, Quek, Tony Q. S.

Sommario: “... for ToSC relying on deep neural network-based joint source and channel coding (DeepJSCC). Our study...”
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