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

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...”
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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...”
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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...”
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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. ...”
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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...”
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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...”
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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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Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing di Zhang, Fahong, Shi, Yilei, Zhu, Xiao Xiang

Sommario: “... and introduces a novel algorithm, the Global Collinearity-aware Polygonizer (GCP). GCP, built upon an instance...”
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Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data di Lin, Yanjun, Zhang, Kai, He, Zhenying, Jing, Yinan, Wang, X. Sean

Sommario: “... of the search problem, insufficient framework for algorithm classification, and incomplete analysis of query...”
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A Machine Learning Based Explainability Framework for Interpreting Swarm Intelligence di Gupta, Nitin, Dutta, Bapi, Yadav, Anupam

Sommario: “...Swarm based optimization algorithms have demonstrated remarkable success in solving complex...”
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OptAgent: Optimizing Query Rewriting for E-commerce via Multi-Agent Simulation di Handa, Divij, Blincoe, David, Adams, Orson, Fu, Yinlin

Sommario: “... excel in verifiable tasks like coding and mathematics, where gold-standard solutions are available...”
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Three-dimensional narrow volume reconstruction method with unconditional stability based on a phase-field Lagrange multiplier approach di Gao, Renjun, Kong, Xiangjie, Cai, Dongting, Fu, Boyi, Yang, Junxiang

Sommario: “... readers to understand our algorithm, we share the computational codes and data in https://github.com...”
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Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization di Wang, Ziqi, Liu, Jiashun, Pan, Ling

Sommario: “...Traditional continuous deep reinforcement learning (RL) algorithms employ deterministic or unimodal...”
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FrontierCS: Evolving Challenges for Evolving Intelligence di Mang, Qiuyang, Chai, Wenhao, Li, Zhifei, Mao, Huanzhi, Zhou, Shang, Du, Alexander, Li, Hanchen, Liu, Shu, Chen, Edwin, Wang, Yichuan, Chu, Xieting, Cheng, Zerui, Xu, Yuan, Xia, Tian, Wang, Zirui, Shi, Tianneng, Yao, Jianzhu, Zhao, Yilong, Zhang, Qizheng, Ruan, Charlie, Shen, Zeyu, Liu, Kaiyuan, He, Runyuan, Xing, Dong, Li, Zerui, Zeng, Zirong, Jiang, Yige, Cheng, Lufeng, Zhao, Ziyi, Sun, Youran, Zheng, Wesley, Zhang, Meiyuwang, Ji, Ruyi, Tu, Xuechang, Zheng, Zihan, Chen, Zexing, Zhou, Kangyang, Wang, Zhaozi, Chen, Jingbang, Korolova, Aleksandra, Henderson, Peter, Viswanath, Pramod, Ganesh, Vijay, Xie, Saining, Liu, Zhuang, Song, Dawn, Min, Sewon, Stoica, Ion, Gonzalez, Joseph E., Shang, Jingbo, Cheung, Alvin

Sommario: “... direct answer. FrontierCS includes algorithmic problems, which are often NP-hard variants of competitive...”
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FedNSAM:Consistency of Local and Global Flatness for Federated Learning di Liu, Junkang, Shang, Fanhua, Tian, Yuxuan, Liu, Hongying, Liu, Yuanyuan

Sommario: “... global minima, which degrades the performance of the global model. Popular FL algorithms integrate...”
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Entangled happily ever after: Wedding reception seating mapped to classical and quantum optimizers di Nicholas, Karie A., Mulligan, Vikram Khipple

Sommario: “... (CFN) form solvable with classical or quantum optimization algorithms. We compared the seating...”
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