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

X-Shooting ULLYSES: Massive stars at low metallicity XV. On the metallicity dependence of B-supergiant mass-loss rates di Verhamme, O., Sundqvist, J. O., de Koter, A., Sana, H., Backs, F., Brands, S. A., Debnath, D., Moens, N., Schillemans, P., Van der Sijpt, C., Berlanas, S. R., Bernini-Peron, M., Crowther, P. A., Gormaz-Matamala, A. C., Kuiper, R., Hawcroft, C., Najarro, F., Pauli, D., Sander, A. A. C., van Loon, J. Th., Vink, J. S., Todt, H., Tramper, F., collaboration, Xshootu

Sommario: “... and the genetic algorithm code Kiwi-GA to fit the UV and optical spectra simultaneously. This allows us...”
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Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline di Lee, Tony, Liang, Percy

Sommario: “..., and coding. We propose Self-Verified Distillation, a simple post-training refinement algorithm in which...”
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Occurrence of mosaic Down syndrome and prevalence of co‐occurring conditions in Medicaid enrolled adults, 2016–2019 di Eric Rubenstein, Salina Tewolde, Brian G. Skotko, Amy Michals, Juan Fortea

Sommario: “... codes. We identified chronic conditions using established algorithms and compared prevalence...”
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A Comparative Study on Heat Transfer and Entropy Generation of Ferrofluid Flowing Through a Double‐Tube Heat Exchanger Subjected to Various Magnetic Fields di Ali Jalayeri, Reza Rahimi

Sommario: “... generation are evaluated based on thermodynamic principles. A finite volume numerical code is developed...”
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Replica Exchange 1/t Wang-Landau Simulation for NiI2 Monolayer di Siqueira Rocha, Julio Cesar

Sommario: “...;inputREWL_parametersr.dat</code>: Input file containing parameters for the Replica Exchange Wang-Landau algorithm.&lt...”
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GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator di Liu, Xingyu, Zhang, Ruida, Zhang, Chenyangguang, Wang, Gu, Tang, Jiwen, Li, Zhigang, Ji, Xiangyang

Sommario: “... followed by applying the RANSAC-based PnP or Kabsch algorithms, and further employing ICP for refinement...”
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Fusion of complementary 2D and 3D mesostructural datasets using generative adversarial networks di Dahari, Amir, Kench, Steve, Squires, Isaac, Cooper, Samuel J.

Sommario: “... in terms of its fidelity and ease of use. Furthermore, much of the data required to train this algorithm...”
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Towards Generalized Few-Shot Open-Set Object Detection di Su, Binyi, Zhang, Hua, Li, Jingzhi, Zhou, Zhong

Sommario: “... to overfit on the known classes, resulting in a poor open-set performance. We propose a new G-FOOD algorithm...”
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Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training di Zoumpourlis, Georgios, Patras, Ioannis

Sommario: “.... Our algorithm outperforms all of the methods in both 5-fold cross-validation and leave-one-subject-out...”
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Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables di Li, Jiacheng, Chen, Chang, Cheng, Zhen, Xiong, Zhiwei

Sommario: “... for efficient image restoration algorithms. The way of caching deep learning models in a look-up table (LUT...”
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Securing Neural Networks with Knapsack Optimization di Gorski, Yakir, Jevnisek, Amir, Avidan, Shai

Sommario: “... devise an algorithm to choose the optimal set of patch sizes through a novel reduction of the problem...”
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Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling di Shao, Shitong, Dai, Xu, Li, Lujun, Chen, Huanran, Hu, Yang, Yin, Shouyi

Sommario: “... sampling algorithms via knowledge distillation rely on pre-trained model weights and discrete time step...”
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FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization di Lee, Jung Hyun, Kim, Jeonghoon, Kwon, Se Jung, Lee, Dongsoo

Sommario: “... developed algorithms to devise and learn a new weight-rounding scheme so as to better reconstruct each layer...”
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Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs? di Liang, Daojun, Zhang, Haixia, Yuan, Dongfeng, Ma, Xiaoyan, Li, Dongyang, Zhang, Minggao

Sommario: “... the suitable input length), a Multi-GPU Asynchronous parallel algorithm based on Bayesian Optimization (MABO...”
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FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering di Li, Zhenyu, Fan, Sunqi, Gu, Yu, Li, Xiuxing, Duan, Zhichao, Dong, Bowen, Liu, Ning, Wang, Jianyong

Sommario: “... the challenges inherent in the few-shot KBQA task. Specifically, FlexKBQA leverages automated algorithms...”
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Certifying LLM Safety against Adversarial Prompting di Kumar, Aounon, Agarwal, Chirag, Srinivas, Suraj, Li, Aaron Jiaxun, Feizi, Soheil, Lakkaraju, Himabindu

Sommario: “... prompts generated by the Greedy Coordinate Gradient (GCG) attack algorithm. The code for our experiments...”
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Multi-Device Task-Oriented Communication via Maximal Coding Rate Reduction di Cai, Chang, Yuan, Xiaojun, Zhang, Ying-Jun Angela

Sommario: “.... Specifically, we leverage the maximal coding rate reduction (MCR2) objective as a surrogate to represent...”
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Enhancing Interpretability and Generalizability in Extended Isolation Forests di Arcudi, Alessio, Frizzo, Davide, Masiero, Chiara, Susto, Gian Antonio

Sommario: “... Learning (ML) algorithms and Decision Support Systems (DSSs) provide effective solutions for AD...”
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Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? di Tsai, Yu-Lin, Hsu, Chia-Yi, Xie, Chulin, Lin, Chih-Hsun, Chen, Jia-You, Li, Bo, Chen, Pin-Yu, Yu, Chia-Mu, Huang, Chun-Ying

Sommario: “... by proposing one novel concept retrieval algorithm for evaluation. We introduce Ring-A-Bell, a model-agnostic...”
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Scalable and Privacy-Preserving Synthetic Data Generation on Decentralised Web di Ramesh, Vishal, Zhao, Rui, Goel, Naman

Sommario: “... such as Intel SGX rely on hardware based features for confidentiality and integrity of code and data. We discuss...”
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