Suchergebnisse - coding (Algorithmsssicssics OR (algorithm OR (algorithm OR algorithm)))

Distributionally Robust Model Predictive Control: Closed-loop Guarantees and Scalable Algorithms von McAllister, Robert D., Esfahani, Peyman Mohajerin

Inhaltsangabe: “… We establish a collection of closed-loop guarantees and propose a scalable optimization algorithm …”
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A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends von Mei, Jiaxin, Zhou, Tao, Huang, Kaiwen, Zhang, Yizhe, Zhou, Yi, Wu, Ye, Fu, Huazhu

Inhaltsangabe: “… segmentation algorithms based on deep learning networks have emerged, making significant progress in this field …”
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CLSA-CIM: A Cross-Layer Scheduling Approach for Computing-in-Memory Architectures von Pelke, Rebecca, Cubero-Cascante, Jose, Bosbach, Nils, Staudigl, Felix, Leupers, Rainer, Joseph, Jan Moritz

Inhaltsangabe: “… processing and reduced power consumption. Efficient compiler algorithms are essential to exploit …”
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Minimizing End-to-End Latency for Joint Source-Channel Coding Systems von Chi, Kaiyi, Yang, Qianqian, Shu, Yuanchao, Yang, Zhaohui, Shi, Zhiguo

Inhaltsangabe: “… -channel coding (JSCC) schemes in enhancing transmission efficiency, they often overlook the crucial aspect …”
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METR: Image Watermarking with Large Number of Unique Messages von Varlamov, Alexander, Diatlova, Daria, Spirin, Egor

Inhaltsangabe: “… researchers, companies, and creators to focus on improving watermarking algorithms. This provision would make …”
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The Blending ToolKit: A simulation framework for evaluation of galaxy detection and deblending von Mendoza, Ismael, Torchylo, Andrii, Sainrat, Thomas, Guinot, Axel, Boucaud, Alexandre, Paillassa, Maxime, Avestruz, Camille, Adari, Prakruth, Aubourg, Eric, Biswas, Biswajit, Buchanan, James, Burchat, Patricia, Doux, Cyrille, Joseph, Remy, Kamath, Sowmya, Malz, Alex I., Merz, Grant, Miyatake, Hironao, Roucelle, Cécile, Zhang, Tianqing, Collaboration, the LSST Dark Energy Science

Inhaltsangabe: “… of galaxies and performing self-consistent comparisons of detection and deblending algorithms based on a suite …”
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Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification von Guan, Yunchuan, Liu, Yu, Liu, Ketong, Zhou, Ke, Shen, Zhiqi

Inhaltsangabe: “… and reinforcement learning. However, the questions of why and when it is better than other algorithms in few-shot …”
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CMiNet: R package for learning the Consensus Microbiome Network von Aghdam, Rosa, Solis-Lemus, Claudia

Inhaltsangabe: “… to variations in the output of different network inference algorithms. To address this issue, we present CMiNet …”
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Avoiding $\mathbf{exp(R_{max})}$ scaling in RLHF through Preference-based Exploration von Chen, Mingyu, Chen, Yiding, Sun, Wen, Zhang, Xuezhou

Inhaltsangabe: “… efficiency. All existing algorithms in online RLHF, whether doing passive exploration or active exploration …”
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Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning von Bose, Avinandan, Lessard, Laurent, Fazel, Maryam, Dvijotham, Krishnamurthy Dj

Inhaltsangabe: “… algorithms against such attacks. Existing research on provable certified robustness against data poisoning …”
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Soft Reasoning Paths for Knowledge Graph Completion von Hou, Yanning, Zhou, Sihang, Liang, Ke, Meng, Lingyuan, Chen, Xiaoshu, Xu, Ke, Wang, Siwei, Liu, Xinwang, Huang, Jian

Inhaltsangabe: “… Reasoning paths are reliable information in knowledge graph completion (KGC) in which algorithms …”
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Digital twins enable full-reference quality assessment of photoacoustic image reconstructions von Gröhl, Janek, Kunyansky, Leonid, Poimala, Jenni, Else, Thomas R., Di Cecio, Francesca, Bohndiek, Sarah E., Cox, Ben T., Hauptmann, Andreas

Inhaltsangabe: “… Quantitative comparison of the quality of photoacoustic image reconstruction algorithms remains a …”
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FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging von junkang, Liu, Liu, Yuanyuan, Shang, Fanhua, Liu, Hongying, Liu, Jin, Feng, Wei

Inhaltsangabe: “… For federated learning (FL) algorithms such as FedSAM, their generalization capability is crucial …”
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Finding trail covers: near-optimal decompositions of graph states as linear fusion networks von Cashman, William, de Felice, Giovanni, Kissinger, Aleks

Inhaltsangabe: “… and provide a series of benchmarks showing the performance of our algorithms on common error-correcting codes …”
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Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models von Wu, Shutong, Zhang, Jiawei

Inhaltsangabe: “… the great potential of efficient inference with parallel decoding algorithms, which enable multi-token …”
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Fundamentals, Recent Advances, and Challenges Regarding Cryptographic Algorithms for the Quantum Computing Era von Noetzold, Darlan, Leithardt, Valderi Reis Quietinho

Inhaltsangabe: “… fundamentals, we discuss classical and post-quantum algorithms, evaluate emerging patterns, and point out real …”
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FlowRL: A Taxonomy and Modular Framework for Reinforcement Learning with Diffusion Policies von Gao, Chenxiao, Chen, Edward, Chen, Tianyi, Dai, Bo

Inhaltsangabe: “… this gap by introducing a comprehensive taxonomy for RL algorithms with diffusion/flow policies. To support …”
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The MQT Compiler Collection: A Blueprint for a Future-Proof Quantum-Classical Compilation Framework von Burgholzer, Lukas, Haag, Daniel, Stade, Yannick, Rovara, Damian, Hopf, Patrick, Wille, Robert

Inhaltsangabe: “… frameworks that translate high-level algorithms into executable code. In the past, most solutions were built …”
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Entropy-Reinforced Planning with Large Language Models for Drug Discovery von Liu, Xuefeng, Tien, Chih-chan, Ding, Peng, Jiang, Songhao, Stevens, Rick L.

Inhaltsangabe: “… illustrate the capabilities of ERP, we tested our algorithm on three code generation benchmarks …”
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Cycles and Cuts in Supersingular L-Isogeny Graphs von Arpin, Sarah, Bowden, Ross, Clements, James, Ghantous, Wissam, LeGrow, Jason T., Maughan, Krystal

Inhaltsangabe: “… spectral algorithms for computing optimal graph cuts. We provide code and study explicit examples …”
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