Risultati della ricerca - coding (algorithm OR Algorithmsssssic)

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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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