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

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. ...”
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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...”
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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...”
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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...”
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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...”
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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...”
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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...”
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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...”
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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...”
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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...”
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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...”
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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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