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

Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning von Sun, Binqi, Theile, Mirco, Qin, Ziyuan, Bernardini, Daniele, Roy, Debayan, Bastoni, Andrea, Caccamo, Marco

Inhaltsangabe: “… algorithm combined with a graph representation neural network to learn an efficient edge generation policy …”
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Generating Signed Permutations by Twisting Two-Sided Ribbons von Yuan, Qiu, Williams, Aaron

Inhaltsangabe: “… object) by extending the well-known mixed-radix Gray code algorithm.  …”
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Reinforcement Learning with Token-level Feedback for Controllable Text Generation von Li, Wendi, Wei, Wei, Xu, Kaihe, Xie, Wenfeng, Chen, Dangyang, Cheng, Yu

Inhaltsangabe: “… algorithm named TOLE which formulates TOken-LEvel rewards for controllable text generation, and employs a …”
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CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning von Chane-Sane, Elliot, Leziart, Pierre-Alexandre, Flayols, Thomas, Stasse, Olivier, Souères, Philippe, Mansard, Nicolas

Inhaltsangabe: “… Constraints as Terminations (CaT), a novel constrained RL algorithm. Departing from classical constrained RL …”
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Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-Resolution von Santos, Marcelo dos, Laroca, Rayson, Ribeiro, Rafael O., Neves, João C., Menotti, David

Inhaltsangabe: “… Super-resolution algorithms often struggle with images from surveillance environments due …”
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Advances in ArborX to support exascale applications von Prokopenko, Andrey, Arndt, Daniel, Lebrun-Grandié, Damien, Turcksin, Bruno, Frontiere, Nicholas, Emberson, J. D., Buehlmann, Michael

Inhaltsangabe: “… simulation code HACC. Large cosmological simulations on exascale platforms encounter a bottleneck due …”
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Air-FAR: Fast and Adaptable Routing for Aerial Navigation in Large-scale Complex Unknown Environments von He, Botao, Chen, Guofei, Fermuller, Cornelia, Aloimonos, Yiannis, Zhang, Ji

Inhaltsangabe: “… using a hierarchical 3D visibility graph (V-graph). The proposed algorithm addresses the computational …”
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Subspace Preserving Quantum Convolutional Neural Network Architectures von Monbroussou, Léo, Landman, Jonas, Wang, Letao, Grilo, Alex B., Kashefi, Elham

Inhaltsangabe: “… Subspace preserving quantum circuits are a class of quantum algorithms that, relying on some …”
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Numerically Robust Fixed-Point Smoothing Without State Augmentation von Krämer, Nicholas

Inhaltsangabe: “… Practical implementations of Gaussian smoothing algorithms have received a great deal of attention …”
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Learning State Preparation Circuits for Quantum Phases of Matter von Kim, Hyun-Soo, Kim, Isaac H., Ranard, Daniel

Inhaltsangabe: “… states) and (ii) long-range entangled ground states (e.g., the toric code on a disk). Both algorithms can …”
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Differentiable GPU-Parallelized Task and Motion Planning von Shen, William, Garrett, Caelan, Kumar, Nishanth, Goyal, Ankit, Hermans, Tucker, Kaelbling, Leslie Pack, Lozano-Pérez, Tomás, Ramos, Fabio

Inhaltsangabe: “… Planning (TAMP) and poses significant computational challenges in terms of algorithm runtime and solution …”
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Scalable Wavelength Arbitration for Microring-based DWDM Transceivers von Choi, Sunjin, Stojanović, Vladimir

Inhaltsangabe: “… , the arbitration algorithms must operate independently of specific wavelength information and be resilient …”
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Efficient MedSAMs: Segment Anything in Medical Images on Laptop von Ma, Jun, Li, Feifei, Kim, Sumin, Asakereh, Reza, Le, Bao-Hiep, Nguyen-Vu, Dang-Khoa, Pfefferle, Alexander, Wei, Muxin, Gao, Ruochen, Lyu, Donghang, Yang, Songxiao, Purucker, Lennart, Marinov, Zdravko, Staring, Marius, Lu, Haisheng, Dao, Thuy Thanh, Ye, Xincheng, Li, Zhi, Brugnara, Gianluca, Vollmuth, Philipp, Foltyn-Dumitru, Martha, Cho, Jaeyoung, Mahmutoglu, Mustafa Ahmed, Bendszus, Martin, Pflüger, Irada, Rastogi, Aditya, Ni, Dong, Yang, Xin, Zhou, Guang-Quan, Wang, Kaini, Heller, Nicholas, Papanikolopoulos, Nikolaos, Weight, Christopher, Tong, Yubing, Udupa, Jayaram K, Patrick, Cahill J., Wang, Yaqi, Zhang, Yifan, Contijoch, Francisco, McVeigh, Elliot, Ye, Xin, He, Shucheng, Haase, Robert, Pinetz, Thomas, Radbruch, Alexander, Krause, Inga, Kobler, Erich, He, Jian, Tang, Yucheng, Yang, Haichun, Huo, Yuankai, Luo, Gongning, Kushibar, Kaisar, Amankulov, Jandos, Toleshbayev, Dias, Mukhamejan, Amangeldi, Egger, Jan, Pepe, Antonio, Gsaxner, Christina, Luijten, Gijs, Fujita, Shohei, Kikuchi, Tomohiro, Wiestler, Benedikt, Kirschke, Jan S., de la Rosa, Ezequiel, Bolelli, Federico, Lumetti, Luca, Grana, Costantino, Xie, Kunpeng, Wu, Guomin, Puladi, Behrus, Martín-Isla, Carlos, Lekadir, Karim, Campello, Victor M., Shao, Wei, Brisbane, Wayne, Jiang, Hongxu, Wei, Hao, Yuan, Wu, Li, Shuangle, Zhou, Yuyin, Wang, Bo

Inhaltsangabe: “… -challenge phase advanced the algorithms through the design of performance booster and reproducibility tasks …”
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Tiered Acquisition for Constrained Bayesian Optimization: An Application to Analog Circuits von Rashid, Ria, Gupta, Abhishek

Inhaltsangabe: “… by up to 38% and improves the target objective by up to 43%. The source code of our algorithm is made …”
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Efficiently Scaling LLM Reasoning with Certaindex von Fu, Yichao, Chen, Junda, Zhu, Siqi, Fu, Zheyu, Dai, Zhongdongming, Zhuang, Yonghao, Ma, Yian, Qiao, Aurick, Rosing, Tajana, Stoica, Ion, Zhang, Hao

Inhaltsangabe: “… Test-time reasoning algorithms such as chain-of-thought, self-consistency, and MCTS enhance LLM …”
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Information Consistent Pruning: How to Efficiently Search for Sparse Networks? von Gharatappeh, Soheil, Sekeh, Salimeh Yasaei

Inhaltsangabe: “… of our algorithm alongside mathematical explanations of flow-based IMP. Our code is available at \url …”
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GVTNet: Graph Vision Transformer For Face Super-Resolution von Yang, Chao, Fan, Yong, Lu, Cheng, Yuan, Minghao, Yang, Zhijing

Inhaltsangabe: “… -resolution images, existing algorithms cannot handle the relationships between patches well, resulting …”
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Purifying Approximate Differential Privacy with Randomized Post-processing von Lin, Yingyu, Wang, Erchi, Ma, Yi-An, Wang, Yu-Xiang

Inhaltsangabe: “… ``purification.'' This algorithmic technique leverages randomized post-processing with calibrated noise …”
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SAT problem and Limit of Solomonoff's inductive reasoning theory von Pan, Feng

Inhaltsangabe: “… Solomonoff's inductive reasoning theory, revealing its limitations: the only "algorithm" capable …”
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TensorNEAT: A GPU-accelerated Library for NeuroEvolution of Augmenting Topologies von Wang, Lishuang, Zhao, Mengfei, Liu, Enyu, Sun, Kebin, Cheng, Ran

Inhaltsangabe: “… The NeuroEvolution of Augmenting Topologies (NEAT) algorithm has received considerable recognition …”
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