Risultati della ricerca - coding (algorithm OR (algorithmics OR (algorithmsssics OR Algorithmssicsics)))

Solving Systems of Linear Equations: HHL from a Tensor Networks Perspective di Ali, Alejandro Mata, Delgado, Iñigo Perez, Roura, Marina Ristol, de Leceta, Aitor Moreno Fdez., Romero, Sebastián V.

Sommario: “... algorithm with tensor networks. First, a novel HHL in the qudits formalism, the generalization of qubits...”
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Extending AALpy with Passive Learning: A Generalized State-Merging Approach di von Berg, Benjamin, Aichernig, Bernhard K.

Sommario: “... state-merging algorithms from the literature with AALpy only takes a few lines of code. ...”
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Cognizione e realtà di Arecchi, Fortunato Tito

Sommario: “... the interpretive algorithm is stored in long-term memory. Judgement, on the other hand, is related...”
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Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes di Bitar, Rawad, Parag, Parimal, Rouayheb, Salim El

Sommario: “... algorithm for example. The Master wants to distribute these computations to untrusted workers who have...”
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How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark di Qiu, Ruizhong, Zeng, Weiliang Will, Ezick, James, Lott, Christopher, Tong, Hanghang

Sommario: “... synthesis. Advancement of LLM-based program synthesis calls for a thorough evaluation of LLM-generated code...”
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Implementation of Kalman Filter Approach for Active Noise Control by Using MATLAB: Dynamic Noise Cancellation di Yu, Guo

Sommario: “... compared to the FxLMS algorithm for handling dynamic noise. The code is available on \href{https...”
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Accelerating Relative Entropy Coding with Space Partitioning di He, Jiajun, Flamich, Gergely, Hernández-Lobato, José Miguel

Sommario: “...Relative entropy coding (REC) algorithms encode a random sample following a target distribution $Q...”
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Open Source Evolutionary Computation with Chips-n-Salsa di Cicirello, Vincent A.

Sommario: “... and related algorithms, with a focus on self-adaptation and parallel execution. For the past four years, we...”
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LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search di Gao, Yang, Yang, Hong, Chen, Yizhi, Wu, Junxian, Zhang, Peng, Wang, Haishuai

Sommario: “... for manual intervention in algorithm adaptation and code modification. The LLM4GNAS toolkit is extensible...”
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Idempotent Slices with Applications to Code-Size Reduction di de Azevedo, Rafael Alvarenga, de Sa, Daniel Augusto Costa, Rocha, Rodrigo Caetano, Pereira, Fernando Magno Quintão

Sommario: “... representation. However, that algorithm is insufficient to be correctly applied to general control-flow graphs...”
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ChatGPT vs. DeepSeek: A Comparative Study on AI-Based Code Generation di Manik, Md Motaleb Hossen

Sommario: “... code generation, often requiring fewer attempts, suggesting an advantage in algorithmic problem-solving...”
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PiNNAcLe: Adaptive Learn-On-The-Fly Algorithm for Machine-Learning Potential di Shao, Yunqi, Zhang, Chao

Sommario: “...PiNNAcLe is an implementation of our adaptive learn-on-the-fly algorithm for running machine...”
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Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates di Roulet, Vincent, Srinivasa, Siddhartha, Fazel, Maryam, Harchaoui, Zaid

Sommario: “...Iterative optimization algorithms depend on access to information about the objective function...”
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RLLTE: Long-Term Evolution Project of Reinforcement Learning di Yuan, Mingqi, Zhang, Zequn, Xu, Yang, Luo, Shihao, Li, Bo, Jin, Xin, Zeng, Wenjun

Sommario: “... for reinforcement learning (RL) research and application. Beyond delivering top-notch algorithm implementations...”
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Walking Your Frog Fast in 4 LoC di Meinert, Nis

Sommario: “... quadratic runtime overhead. However, this algorithm relies on recursions and is not well suited for modern...”
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Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning di Ye, Kai, Zhou, Hongyi, Zhu, Jin, Quinzan, Francesco, Shi, Chengchun

Sommario: “... existing RLHF algorithms use the Bradley-Terry model, which relies on assumptions about human preferences...”
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Code Generation for a Variety of Accelerators for a Graph DSL di Kumar, Ashwina, Krishna, M. Venkata, Bartakke, Prasanna, Kumar, Rahul, M, Rajesh Pandian, Behera, Nibedita, Nasre, Rupesh

Sommario: “..., and generate parallel code for different accelerators from the same algorithmic specification. In particular...”
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On Annotation-free Optimization of Video Coding for Machines di Windsheimer, Marc, Brand, Fabian, Kaup, André

Sommario: “... by computer vision algorithms. However, current coding standards are optimized for human perception. Emerging...”
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Accelerating radio astronomy imaging with RICK di De Rubeis, Emanuele, Lacopo, Giovanni, Gheller, Claudio, Tornatore, Luca, Taffoni, Giuliano

Sommario: “...This paper presents an implementation of radio astronomy imaging algorithms on modern High...”
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TCProF: Time-Complexity Prediction SSL Framework di Hahn, Joonghyuk, Ahn, Hyeseon, Kim, Jungin, Lim, Soohan, Han, Yo-Sub

Sommario: “... execution. In reality, developers write algorithms into code snippets within limited resources, making...”
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