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

Outlier-Robust Training of Machine Learning Models di Talak, Rajat, Georgiou, Charis, Shi, Jingnan, Carlone, Luca

Sommario: “... learning models with outliers. The algorithm iteratively trains the model by using a weighted version...”
Testo

EIQP: Execution-time-certified and Infeasibility-detecting QP Solver di Wu, Liang, Xiao, Wei, Braatz, Richard D.

Sommario: “... that the employed QP algorithm can either return a solution within a predefined level of optimality or detect QP...”
Testo

Balanced connected partitions of edge-weighted graphs: Hardness and solving methods di Davari, Morteza, Moura, Phablo F. S., Yaman, Hande

Sommario: “... methods. The source code of the complete implementation of the proposed algorithms is also available. ...”
Testo

Rethinking Few-Shot Image Fusion: Granular Ball Priors Enable General-Purpose Deep Fusion di Deng, Minjie, Wei, Yan, Wu, An, Ouyang, Yuncan, Zhai, Hao, Peng, Qianyao

Sommario: “... handcrafted priors at the algorithmic level and estimate their confidence. Based on this idea, we couple...”
Testo

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts di Pang, Jing-Cheng, Li, Kaiyuan, Wang, Yidi, Yang, Si-Hang, Jiang, Shengyi, Yu, Yang

Sommario: “... algorithms that leverage both real rollouts and LLM-imaginary rollouts. The key features of ImagineBench...”
Testo

The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm di Chen, Jiale, Shabanzadeh, Yalda, Crnčević, Elvir, Hoefler, Torsten, Alistarh, Dan

Sommario: “..., GPTQ is mathematically identical to Babai's nearest plane algorithm for the classical closest vector...”
Testo

Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study di Li, Mocheng, Yan, Xiao, Lu, Baotong, Zhang, Yue, Cheng, James, Ma, Chenhao

Sommario: “... known as Filtering Approximate Nearest Neighbor (Filtering ANN) search. Since many of these algorithms...”
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Dictionary learning methods for brain activity mapping with MEG data di Calvetti, Daniela, Somersalo, Erkki

Sommario: “..., investigating the performance of a recently proposed Bayesian dictionary learning (BDL) algorithm for brain...”
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Planetary Terrain Datasets and Benchmarks for Rover Path Planning di Chancán, Marvin, Banerjee, Avijit, Nikolakopoulos, George

Sommario: “... algorithms, in a unified framework, and evaluate them on our proposed datasets and on a popular planning...”
Testo

Empirical Evaluation of SMOTE in Android Malware Detection with Machine Learning: Challenges and Performance in CICMalDroid 2020 di Duarte, Diego Ferreira, Bortoli, Andre Augusto

Sommario: “... to automate and accelerate the discovery of these threats. This work tests ML algorithms in detecting...”
Testo

Discovering Multiagent Learning Algorithms with Large Language Models di Li, Zun, Schultz, John, Hennes, Daniel, Lanctot, Marc

Sommario: “... games has historically depended on the manual, iterative refinement of algorithmic baselines. Recently...”
Testo

Econometric vs. Causal Structure-Learning for Time-Series Policy Decisions: Evidence from the UK COVID-19 Policies di Petrungaro, Bruno, Constantinou, Anthony C.

Sommario: “... and traditional causal ML algorithms. We seek to understand if there are lessons to be incorporated into causal ML...”
Testo

ResearchEVO: An End-to-End Framework for Automated Scientific Discovery and Documentation di Zhao, Zhe, Wen, Haibin, Ma, Jiaming, Zhan, Jiachang, Xu, Tianyi, Wei, Ye, Zhang, Qingfu

Sommario: “... LLM-guided bi-dimensional co-evolution -- simultaneously optimizing both algorithmic logic and overall...”
Testo

AngstromPro: A versatile software for massive N-dimensional STM data management, visualization and in-depth analysis di Zhao, Huiyu, Yan, Jiahao, Dawson, Catherine, Yang, Haitao, Gao, Hong-Jun

Sommario: “... separates graphical user interface components from data processing algorithms, a strategy that enhances code...”
Testo

ViT-Transformer: Self-attention mechanism based constitutive modeling for nonlinear heterogeneous materials di Zhou, Yijing, Semnani, Shabnam J.

Sommario: “...-Transformer, using a Vision Transformer (ViT) encoder and a Transformer-based decoder which are both driven...”
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When Drafts Evolve: Speculative Decoding Meets Online Learning di Qian, Yu-Yang, Wu, Hao-Cong, Fu, Yichao, Zhang, Hao, Zhao, Peng

Sommario: “...Speculative decoding has emerged as a widely adopted paradigm for accelerating large language model...”
Testo

A high-performance lattice Boltzmann model for multicomponent turbulent jet simulations di Montessori, Andrea, Hegele Jr., Luiz A., Lauricella, Marco

Sommario: “... of dynamic regimes. The implementation of the multicomponent lattice Boltzmann code achieves peak...”
Testo

Branch and Bound to Assess Stability of Regression Coefficients in Uncertain Models di Knaeble, Brian, Hughes, R. Mitchell, Rudolph, George, Abramson, Mark A., Razo, Daniel

Sommario: “... to efficiently search, with a branch and bound algorithm, for maximum and minimum values of that adjusted slope...”
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Automatic Detection, Positioning and Counting of Grape Bunches Using Robots di Gao, Xumin

Sommario: “... designs a set of automatic detection, positioning and counting algorithms for grape bunches, and applies...”
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Learning High-Quality Latent Representations for Anomaly Detection and Signal Integrity Enhancement in High-Speed Signals di Usama, Muhammad, Jang, Hee-Deok, Shanbhag, Soham, Sung, Yoo-Chang, Bae, Seung-Jun, Chang, Dong Eui

Sommario: “... on valid data features. Our approach is evaluated across three anomaly detection algorithms...”
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