Risultati della ricerca - coding (Algorithm OR Algorithms)

Evolutionary thoughts: integration of large language models and evolutionary algorithms di Yepes, Antonio Jimeno, Barnard, Pieter

Sommario: “... both natural language and code, but LLM reasoning is prone to hallucination and struggle with complex...”
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OpenRASE: Service Function Chain Emulation di Krishnamohan, Theviyanthan, Harvey, Paul

Sommario: “... suffer from inaccuracy, low fidelity, unscalability, inflexibility, or additional code requirements...”
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TDADL-IE: A Deep Learning-Driven Cryptographic Architecture for Medical Image Security di Zhou, Junhua, Li, Quanjun, Li, Weixuan, Yu, Guang, Shao, Yihua, Dong, Yihang, Wang, Mengqian, Li, Zimeng, Gong, Changwei, Chen, Xuhang

Sommario: “... presents the Three-dimensional Diffusion Algorithm and Deep Learning Image Encryption system (TDADL-IE...”
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Bureaucratic Silences: What the Canadian AI Register Reveals, Omits, and Obscures di Das, Dipto, Tessono, Christelle, Ahmed, Syed Ishtiaque, Guha, Shion

Sommario: “... of accountability. We analyzed the Register's complete dataset of 409 systems using the Algorithmic Decision-Making...”
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Towards the Democratization and Standardization of Dynamic Resources with MPI Spawning di Iserte, Sergio, Martín-Alvarez, Iker, Rojek, Krzystof, Aliaga, José I., Castillo, Maribel, Peña, Antonio J.

Sommario: “... processes or lacking RMS support. The paper also showcases the solution's performance and coding...”
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Flux-driven turbulent transport using penalisation in the Hasegawa-Wakatani system di Guillon, Pierre L., Gürcan, Özgür D., Dif-Pradalier, Guilhem, Sarazin, Yanick, Fedorczak, Nicolas

Sommario: “...-driven Algorithm for REduced models) are presented. This flux-driven turbulence/transport code uses a...”
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Automating Code Generation for Semiconductor Equipment Control from Developer Utterances with LLMs di Kim, Youngkyoung, Park, Sanghyeok, Kim, Misoo, Yoon, Gangho, Lee, Eunseok, Woo, Simon S.

Sommario: “... such as the Algorithmic Pattern Generator (ALPG) are critical for precise hardware control but are challenging to program...”
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Modeling the Effect of Data Redundancy on Speedup in MLFMA Near-Field Computation di Sadeghi, Morteza

Sommario: “...The near-field (P2P) operator in the Multilevel Fast Multipole Algorithm (MLFMA) is a performance...”
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On the Limits of Innate Planning in Large Language Models di Schepanowski, Charles, Ling, Charles

Sommario: “... for planning and stateful reasoning remains unclear. We study these abilities directly, without code execution...”
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Code for: The Second Dirichlet Eigenvalue is Simple on Every Non-equilateral Triangle, Part II di Endo, Ryoki, Liu, Xuefeng

Sommario: “...; s.setupAll(); </code></pre> </li> <li><p><strong>Algorithm 1 (Region Ω_up...”
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Hyper-Minrank: A Unified Hypergraph Characterization of Multi-Sender Index Coding di Khalesi, Ali, Elia, Petros

Sommario: “... et al. to the multi-sender index coding (MSIC) setting. Central to the model is a 4-regular side...”
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GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA di Liang, Zhenyu, Jiang, Tao, Sun, Kebin, Cheng, Ran

Sommario: “... Guided Evolutionary Algorithm (TensorRVEA) for harnessing the advancements of GPU acceleration...”
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EquiPy: Sequential Fairness using Optimal Transport in Python di Machado, Agathe Fernandes, Grondin, Suzie, Ratz, Philipp, Charpentier, Arthur, Hu, François

Sommario: “...Algorithmic fairness has received considerable attention due to the failures of various predictive...”
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Joint Data Hiding and Partial Encryption of Compressive Sensed Streams di Popa, Cristina-Elena, Damian, Cristian, Coltuc, Daniela

Sommario: “... in protecting part of the measurements by a secret key and inserting the code into the rest. The secret key...”
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Quantum Grid Path Planning Using Parallel QAOA Circuits Based on Minimum Energy Principle di Liu, Jun

Sommario: “... Quantum Approximate Optimization Algorithm (QAOA) architecture. Specifically, the grid path planning...”
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Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs di Zhao, Yujie, Hu, Lanxiang, Wang, Yang, Hou, Minmin, Zhang, Hao, Ding, Ke, Zhao, Jishen

Sommario: “..., applying on-policy RL to MAS remains underexplored and presents unique challenges. Algorithmically...”
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Learning the sparse prior: Modern approaches di Guan‐Ju Peng

Sommario: “... by solving the sparse coding problem specified by the data model. This article presents a comprehensive...”
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Federated Ensemble-Directed Offline Reinforcement Learning di Rengarajan, Desik, Ragothaman, Nitin, Kalathil, Dileep, Shakkottai, Srinivas

Sommario: “... Algorithm (FEDORA), which distills the collective wisdom of the clients using an ensemble learning approach...”
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Linac_Gen: integrating machine learning and particle-in-cell methods for enhanced beam dynamics at Fermilab di Pathak, Abhishek

Sommario: “... such as Random Forest, Genetic Algorithms, Support Vector Machines, and Neural Networks, achieving a tenfold...”
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Efficient Evolutionary Search Over Chemical Space with Large Language Models di Wang, Haorui, Skreta, Marta, Ser, Cher-Tian, Gao, Wenhao, Kong, Lingkai, Strieth-Kalthoff, Felix, Duan, Chenru, Zhuang, Yuchen, Yu, Yue, Zhu, Yanqiao, Du, Yuanqi, Aspuru-Guzik, Alán, Neklyudov, Kirill, Zhang, Chao

Sommario: “... challenges because optimization objectives can be non-differentiable. Evolutionary Algorithms (EAs), often...”
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