Risultati della ricerca - coding (algorithmics OR (algorithm OR (algorithmssssicsics OR algorithmssics)))

Deep Minimax Classifiers for Imbalanced Datasets with a Small Number of Minority Samples di Choi, Hansung, Seo, Daewon

Sommario: “... results indicate that our algorithm performs better than or is comparable to existing methods. All codes...”
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Artificial Intelligence in Number Theory: LLMs for Algorithm Generation and Ensemble Methods for Conjecture Verification di Saraeb, Ali

Sommario: “...This paper presents two concrete applications of Artificial Intelligence to algorithmic...”
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Monopulse Parameter Estimation based on MIMO-STCA Radar in the Presence of Multiple Mainlobe Jammings di Wang, Huake, Zhang, Dongchang, Liao, Guisheng, Quan, Yinghui

Sommario: “..., the four-channel adaptive beamforming (ABF) algorithm is proposed, which adds a delta-delta channel based...”
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Partial Weakly-Supervised Oriented Object Detection di Liu, Mingxin, Zhang, Peiyuan, Liu, Yuan, Zhang, Wei, Zhou, Yue, Liao, Ning, Gong, Ziyang, Luo, Junwei, Wang, Zhirui, Yu, Yi, Yang, Xue

Sommario: “... comparably to, or even surpasses traditional semi-supervised algorithms. Our code will be made publicly...”
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EAT: QoS-Aware Edge-Collaborative AIGC Task Scheduling via Attention-Guided Diffusion Reinforcement Learning di Xu, Zhifei, Tang, Zhiqing, Lou, Jiong, Yao, Zhi, Xie, Xuan, Wang, Tian, Wang, Yinglong, Jia, Weijia

Sommario: “... \underline{T}ask scheduling (EAT) algorithm. Specifically: 1) We segment AIGC tasks and schedule patches...”
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FLASH Viterbi: Fast and Adaptive Viterbi Decoding for Modern Data Systems di Deng, Ziheng, Liu, Xue, Jiang, Jiantong, Li, Yankai, Deng, Qingxu, Yang, Xiaochun

Sommario: “...The Viterbi algorithm is a key operator for structured sequence inference in modern data systems...”
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FedPF: Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility di Sun, Kangkang, Wu, Jun, Guo, Minyi, Li, Jianhua, Huang, Jianwei

Sommario: “... protecting sensitive client data. We introduce a differentially private fair FL algorithm (FedPF...”
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Near Optimal Algorithms for Noisy $k$-XOR under Low-Degree Heuristic di Mao, Songtao

Sommario: “... a recovery algorithm, and hence also a detection algorithm, for noisy $k$-XOR in the high-noise...”
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Revisiting Bayesian Variable Selection via Optimization di Duan, Leo L

Sommario: “... following the 2019 Ridgecrest earthquakes. The source code for the algorithm is publicly available...”
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Deep‐Q‐Network hybridization with extended Kalman filter for accelerate learning in autonomous navigation with auxiliary security module di Carlos Daniel de Sousa Bezerra, Flávio Henrique Teles Vieira, Anderson da Silva Soares

Sommario: “... simulator with code insertion in Python. The simulation results show that the EKF‐DQN algorithm accelerates...”
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Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models di Majumdar, Somshubra, Noroozi, Vahid, Samadi, Mehrzad, Narenthiran, Sean, Ficek, Aleksander, Ahmad, Wasi Uddin, Huang, Jocelyn, Balam, Jagadeesh, Ginsburg, Boris

Sommario: “... Genetic-Instruct, a scalable algorithm for synthesizing large-scale, high quality coding instructions...”
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Understanding Defects in Generated Codes by Language Models di Esfahani, Ali Mohammadi, Kahani, Nafiseh, Ajila, Samuel A.

Sommario: “...This study investigates the reliability of code generation by Large Language Models (LLMs...”
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A Combinatorial Approach to Avoiding Weak Keys in the BIKE Cryptosystem di Matthews, Gretchen L, McMillon, Emily

Sommario: “...Bit Flipping Key Encapsulation (BIKE) is a code-based cryptosystem that was considered in Round 4...”
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Data Compression with Stochastic Codes di Flamich, Gergely, Gündüz, Deniz

Sommario: “... coding but has never been quite sure what it is or how the algorithms fit together, we hope to illustrate...”
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Attribute Graphs Underlying Molecular Generative Models: Path to Learning with Limited Data di Hoffman, Samuel C., Das, Payel, Shanmugam, Karthikeyan, Wadhawan, Kahini, Sattigeri, Prasanna

Sommario: “..., we provide a simple algorithm that relies on perturbation experiments on latent codes of a pre...”
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The non-intrusive reduced basis two-grid method applied to sensitivity analysis di Grosjean, Elise, Simeon, Bernd

Sommario: “... of these algorithms are however intrusive in the sense that the High-Fidelity (HF) code must be modified. To address...”
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New and improved bounds on the contextuality degree of multi-qubit configurations di Muller, Axel, Saniga, Metod, Giorgetti, Alain, de Boutray, Henri, Holweck, Frédéric

Sommario: “...We present algorithms and a C code to reveal quantum contextuality and evaluate the contextuality...”
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Augmenting MRI scan data with real-time predictions of glioblastoma brain tumor evolution using faster exponential time integrators di Pabisz, Magdalena, Muñoz-Matute, Judit, Paszyński, Maciej

Sommario: “...We present a MATLAB code for exponential integrators method simulating the glioblastoma tumor...”
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DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation di Wu, Xueqing, Zheng, Rui, Sha, Jingzhen, Wu, Te-Lin, Zhou, Hanyu, Tang, Mohan, Chang, Kai-Wei, Peng, Nanyun, Huang, Haoran

Sommario: “... reward to intermediate code generation steps. Our DACO-RL algorithm is evaluated by human annotators...”
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Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models di Chae, Hyungjoo, Kim, Yeonghyeon, Kim, Seungone, Ong, Kai Tzu-iunn, Kwak, Beong-woo, Kim, Moohyeon, Kim, Seonghwan, Kwon, Taeyoon, Chung, Jiwan, Yu, Youngjae, Yeo, Jinyoung

Sommario: “... and decompose them into a sequence of reasoning steps towards the solution. Such nature of algorithmic reasoning...”
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