Risultati della ricerca - (coding OR (endedededededededededededededededededededededededededecoding OR Decoding)) algorithm

Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving di Zheng, Zhi, Gu, Shangding

Sommario: “.... However, these safe MARL algorithms often fail to model other agents and lack convergence guarantees...”
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A Fast and Effective Breakpoints Heuristic Algorithm for the Quadratic Knapsack Problem di Hochbaum, Dorit S., Baumann, Philipp, Goldschmidt, Olivier, Zhang, Yiqing

Sommario: “... faster running times than all leading algorithms. The source code of the QKBP algorithm, the benchmark...”
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Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences di Coppolillo, Erica, Mungari, Simone, Ritacco, Ettore, Fabbri, Francesco, Minici, Marco, Bonchi, Francesco, Manco, Giuseppe

Sommario: “... the feedback loop between algorithmic suggestions and users' choices. Nonetheless, the extent to which...”
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PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models di Wnag, Zining, Guo, Jinyang, Gong, Ruihao, Yong, Yang, Liu, Aishan, Huang, Yushi, Liu, Jiaheng, Liu, Xianglong

Sommario: “... practice of PTS algorithms and the sparsification ability of models, which hinders the further development...”
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Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence di Han, Yinbin, Razaviyayn, Meisam, Xu, Renyuan

Sommario: “.... While recent advances have leveraged reinforcement learning algorithms to tackle this problem, much...”
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Pedestrian-Aware Motion Planning for Autonomous Driving in Complex Urban Scenarios di Moller, Korbinian, Nyberg, Truls, Tumova, Jana, Betz, Johannes

Sommario: “.... This paper introduces a novel algorithm for motion planning in crowded spaces by combining social force...”
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Circuit Partitioning Using Large Language Models for Quantum Compilation and Simulations di Sinha, Pranav, Jha, Sumit Kumar, Raj, Sunny

Sommario: “... computation incomprehensible. Quantum circuit compilation algorithms attempt to minimize these noisy gates...”
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Effective Reinforcement Learning for Reasoning in Language Models di Huang, Lianghuan, Li, Shuo, Anupam, Sagnik, Lee, Insup, Bastani, Osbert

Sommario: “... capabilities of language models (LMs) in domains such as mathematics and coding. However, most modern RL...”
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Benchmarking Quantum Architecture Search with Surrogate Assistance di Martyniuk, Darya, Jung, Johannes, Barta, Daniel, Paschke, Adrian

Sommario: “...The development of quantum algorithms and their practical applications currently relies heavily...”
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Is Lattice Reduction Necessary for Vector Perturbation Precoding? di Semmler, Dominik, Utschick, Wolfgang, Joham, Michael

Sommario: “... (DL) with modulo channels, providing an approximation of dirty paper coding (DPC) which is capacity...”
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Overlooked Safety Vulnerability in LLMs: Malicious Intelligent Optimization Algorithm Request and its Jailbreak di Gu, Haoran, Wang, Handing, Mei, Yi, Zhang, Mengjie, Jin, Yaochu

Sommario: “... in general usage, code generation, and agent-based applications, their vulnerabilities in automated algorithm...”
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Improving Policy Exploitation in Online Reinforcement Learning with Instant Retrospect Action di Gao, Gong, Zhao, Weidong, Liu, Xianhui, Jia, Ning

Sommario: “... performance of online RL algorithms on eight MuJoCo continuous control tasks.The code is available at https...”
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Latent Objective Induction and Diversity-Constrained Selection: Algorithms for Multi-Locale Retrieval Pipelines di Alpay, Faruk, Sarioglu, Levent

Sommario: “...We present three algorithms with formal correctness guarantees and complexity bounds...”
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Relevant Walk Search for Explaining Graph Neural Networks di Xiong, Ping, Schnake, Thomas, Gastegger, Michael, Montavon, Grégoire, Müller, Klaus-Robert, Nakajima, Shinichi

Sommario: “.... Specifically, we propose {\em polynomial-time} algorithms for finding top-$K$ relevant walks, which drastically...”
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Utilizing Precise and Complete Code Context to Guide LLM in Automatic False Positive Mitigation di Chen, Jinbao, Xiang, Hongjing, Zhao, Zuohong, Li, Luhao, Zhang, Yu, Ding, Boyao, Li, Qingwei, Xiong, Songyuan

Sommario: “... potential code issues early in development. However, they often produce false positive warnings that require...”
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ChartMaster: Advancing Chart-to-Code Generation with Real-World Charts and Chart Similarity Reinforcement Learning di Tan, Wentao, Cao, Qiong, Xue, Chao, Zhan, Yibing, Ding, Changxing, He, Xiaodong

Sommario: “...The chart-to-code generation task requires MLLMs to convert chart images into executable code...”
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Quantifying diagnostic signal decay in dementia: a national study of Medicare hospitalization data di Federica Spoto, Jiazi Tian, Jonas Hügel, Daniel T. Ortega, Christine S. Ritchie, Deborah Blacker, Francesca Dominici, Chirag J. Patel, Daniel Mork, Hossein Estiri

Sommario: “... and inconsistent coding may distort data quality. METHODS This cohort study analyzed 2016 to 2018 Medicare Part A...”
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Multi‐Molecular Logic Framework Based on Morse Code, ASCII Logic, and Beale's Cipher for Advanced Crypto‐Steganography di Mohamed Nabeel Mattath, Yingying Lu, Ajith Manayil Parambil, Yan Gao, Tian‐Ming Yao, Jing‐Jing Li, Rui‐Min Zang, Song Hu, Shuo Shi

Sommario: “... algorithm, providing researchers with an accessible tool for rapid prediction. The Morse code‐mediated...”
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CoBe XR: Simulation Module (Bio-inspired Swarm Model) di Bartashevich, Palina

Sommario: “... collective behavior algorithms.</p> <p>The container runs the computational model of predator...”
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MMRec: Simplifying Multimodal Recommendation di Zhou, Xin

Sommario: “... to modern graph-based algorithms, capable of fusing information from multiple modalities simultaneously. Our...”
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