Suchergebnisse - (endedededededededededededededededededededededededeDecoding OR coding) (algorithmics OR algorithm)

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

Inhaltsangabe: “… optimization algorithms relying on the alternating direction method of multipliers (ADMM) with the backtracking …”
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Designing a Framework for Solving Multiobjective Simulation Optimization Problems von Chang, Tyler H., Wild, Stefan M.

Inhaltsangabe: “… code or real-world experiment, which we refer to as a simulation. While an extensive body of research …”
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Whale Detection Enhancement through Synthetic Satellite Images von Gaur, Akshaj, Liu, Cheng, Lin, Xiaomin, Karapetyan, Nare, Aloimonos, Yiannis

Inhaltsangabe: “… of marine animals, including whales. Modern computer vision algorithms allow us to detect whales in images …”
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MCPNS: A Macropixel Collocated Position and Its Neighbors Search for Plenoptic 2.0 Video Coding von Van Duong, Vinh, Huu, Thuc Nguyen, Yim, Jonghoon, Jeon, Byeungwoo

Inhaltsangabe: “… produce distinct motion characteristics that challenge existing motion estimation (ME) algorithms …”
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On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine Learning von Hansen, Roberta, Vera, Matias, Estienne, Lautaro, Ferrer, Luciana, Piantanida, Pablo

Inhaltsangabe: “… Prior Adaptation) algorithm, defined from a first-order non-linear difference equations, first developed …”
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TorchCP: A Python Library for Conformal Prediction von Huang, Jianguo, Song, Jianqing, Zhou, Xuanning, Jing, Bingyi, Wei, Hongxin

Inhaltsangabe: “… or sets with guaranteed coverage probability. While CP algorithms have evolved beyond traditional …”
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FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning von Tamirisa, Rishub, Xie, Chulin, Bao, Wenxuan, Zhou, Andy, Arel, Ron, Shamsian, Aviv

Inhaltsangabe: “… (PFL) - a class of FL algorithms aiming to personalize learned global knowledge to better suit …”
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ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze von Xuan, Chunyu, Niu, Yazhe, Pu, Yuan, Hu, Shuai, Liu, Yu, Yang, Jing

Inhaltsangabe: “… Monte Carlo Tree Search (MCTS)-based algorithms, such as MuZero and its derivatives, have achieved …”
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pyLOM: A HPC open source reduced order model suite for fluid dynamics applications von Eiximeno, Benet, Miró, Arnau, Begiashvili, Beka, Valero, Eusebio, Rodriguez, Ivette, Lehmkuhl, Oriol

Inhaltsangabe: “… of the code that cannot be parallelized) of these algorithms is under 10% for the strong scaling and under 0.7 …”
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On the Definition of Velocity in Discrete-Time, Stochastic Langevin Simulations von Grønbech-Jensen, Niels

Inhaltsangabe: “… 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 von Arias-Perez, Pedro, Gautam, Alvika, Fernandez-Cortizas, Miguel, Perez-Saura, David, Saripalli, Srikanth, Campoy, Pascual

Inhaltsangabe: “… , 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 von Liu, Junjie

Inhaltsangabe: “… 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 von Jiang, Jin, Yan, Yuchen, Liu, Yang, Wang, Jianing, Peng, Shuai, Cai, Xunliang, Cao, Yixin, Zhang, Mengdi, Gao, Liangcai

Inhaltsangabe: “… 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 von Wang, Bokun, Lei, Yunwen, Ying, Yiming, Yang, Tianbao

Inhaltsangabe: “… 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 von Le, Bang Giang, Ta, Viet Cuong

Inhaltsangabe: “… 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 von Soumalias, Ermis, Heiss, Jakob, Weissteiner, Jakob, Seuken, Sven

Inhaltsangabe: “… 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 von Nguyen, Van Quang, Nguyen, Quoc Chuong, Dang, Thu Huong, Hy, Truong-Son

Inhaltsangabe: “… 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 von Mendes-Neves, Tiago, Meireles, Luís, Mendes-Moreira, João

Inhaltsangabe: “… 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 von Liu, Xuefeng, Jiang, Songhao, Chen, Siyu, Yang, Zhuoran, Chen, Yuxin, Foster, Ian, Stevens, Rick

Inhaltsangabe: “… 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 von Lee, Sunbowen, Gong, Yicheng, Deng, Chao

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