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

Curvature regularization for Non-line-of-sight Imaging from Under-sampled Data di Ding, Rui, Ye, Juntian, Gao, Qifeng, Xu, Feihu, Duan, Yuping

Sommario: “... optimization algorithms relying on the alternating direction method of multipliers (ADMM) with the backtracking...”
Testo

Designing a Framework for Solving Multiobjective Simulation Optimization Problems di Chang, Tyler H., Wild, Stefan M.

Sommario: “... code or real-world experiment, which we refer to as a simulation. While an extensive body of research...”
Testo

Whale Detection Enhancement through Synthetic Satellite Images di Gaur, Akshaj, Liu, Cheng, Lin, Xiaomin, Karapetyan, Nare, Aloimonos, Yiannis

Sommario: “... of marine animals, including whales. Modern computer vision algorithms allow us to detect whales in images...”
Testo

MCPNS: A Macropixel Collocated Position and Its Neighbors Search for Plenoptic 2.0 Video Coding di Van Duong, Vinh, Huu, Thuc Nguyen, Yim, Jonghoon, Jeon, Byeungwoo

Sommario: “... produce distinct motion characteristics that challenge existing motion estimation (ME) algorithms...”
Testo

On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine Learning di Hansen, Roberta, Vera, Matias, Estienne, Lautaro, Ferrer, Luciana, Piantanida, Pablo

Sommario: “... Prior Adaptation) algorithm, defined from a first-order non-linear difference equations, first developed...”
Testo

TorchCP: A Python Library for Conformal Prediction di Huang, Jianguo, Song, Jianqing, Zhou, Xuanning, Jing, Bingyi, Wei, Hongxin

Sommario: “... or sets with guaranteed coverage probability. While CP algorithms have evolved beyond traditional...”
Testo

FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning di Tamirisa, Rishub, Xie, Chulin, Bao, Wenxuan, Zhou, Andy, Arel, Ron, Shamsian, Aviv

Sommario: “... (PFL) - a class of FL algorithms aiming to personalize learned global knowledge to better suit...”
Testo

ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze di Xuan, Chunyu, Niu, Yazhe, Pu, Yuan, Hu, Shuai, Liu, Yu, Yang, Jing

Sommario: “...Monte Carlo Tree Search (MCTS)-based algorithms, such as MuZero and its derivatives, have achieved...”
Testo

pyLOM: A HPC open source reduced order model suite for fluid dynamics applications di Eiximeno, Benet, Miró, Arnau, Begiashvili, Beka, Valero, Eusebio, Rodriguez, Ivette, Lehmkuhl, Oriol

Sommario: “... of the code that cannot be parallelized) of these algorithms is under 10% for the strong scaling and under 0.7...”
Testo

On the Definition of Velocity in Discrete-Time, Stochastic Langevin Simulations di Grønbech-Jensen, Niels

Sommario: “... statistically accurate discrete-time Verlet-type algorithms are inconsistent with the simulated configurational...”
Testo

Exploring Unstructured Environments using Minimal Sensing on Cooperative Nano-Drones di Arias-Perez, Pedro, Gautam, Alvika, Fernandez-Cortizas, Miguel, Perez-Saura, David, Saripalli, Srikanth, Campoy, Pascual

Sommario: “..., but current multi-robot inspection algorithms are unsuitable for nano-drones due to their need for heavy...”
Testo

Face Clustering via Early Stopping and Edge Recall di Liu, Junjie

Sommario: “... into account. Besides, developing unsupervised face clustering algorithms is crucial, which are more realistic...”
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LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning di Jiang, Jin, Yan, Yuchen, Liu, Yang, Wang, Jianing, Peng, Shuai, Cai, Xunliang, Cao, Yixin, Zhang, Mengdi, Gao, Liangcai

Sommario: “... LeetCode-style algorithm \underline{Pro}blems and their corresponding \underline{Pro}gram solutions...”
Testo

On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning di Wang, Bokun, Lei, Yunwen, Ying, Yiming, Yang, Tianbao

Sommario: “... of our algorithm. Our code is available at https://github.com/bokun-wang/NUCLR. ...”
Testo

Toward Finding Strong Pareto Optimal Policies in Multi-Agent Reinforcement Learning di Le, Bang Giang, Ta, Viet Cuong

Sommario: “... learning problems with cooperative reward structures. We show that any algorithm where each agent only...”
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Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All di Soumalias, Ermis, Heiss, Jakob, Weissteiner, Jakob, Seuken, Sven

Sommario: “... machine learning (ML)-based preference elicitation algorithms that aim to elicit only the most critical...”
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Hybridising Reinforcement Learning and Heuristics for Hierarchical Directed Arc Routing Problems di Nguyen, Van Quang, Nguyen, Quoc Chuong, Dang, Thu Huong, Hy, Truong-Son

Sommario: “... to effectively guide the selection of local search operators, resulting in a hybrid algorithm. We name...”
Testo

A Neighbor-based Approach to Pitch Ownership Models in Soccer di Mendes-Neves, Tiago, Meireles, Luís, Mendes-Moreira, João

Sommario: “... Neighbors (KNN) algorithm. Our approach provides a fast inference mechanism that can model different...”
Testo

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization di Liu, Xuefeng, Jiang, Songhao, Chen, Siyu, Yang, Zhuoran, Chen, Yuxin, Foster, Ian, Stevens, Rick

Sommario: “... learning algorithm to finetune a drug optimization LLM-based generative model, enhancing the original drug...”
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Counterfactual experience augmented off-policy reinforcement learning di Lee, Sunbowen, Gong, Yicheng, Deng, Chao

Sommario: “...Reinforcement learning control algorithms face significant challenges due to out-of-distribution...”
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