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

  1. 2901

    Stabilization of symmetry-protected long-range entanglement in stochastic quantum circuits von Angelidi, Iosifina, Szyniszewski, Marcin, Pal, Arijeet

    Veröffentlicht 2023
    Inhaltsangabe: “… protocols with finite-depth quantum circuits. The complexity of these algorithms is crucial for the resource …”
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  2. 2902

    TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds von Henrich, Jonathan, van Delden, Jan, Seidel, Dominik, Kneib, Thomas, Ecker, Alexander

    Veröffentlicht 2023
    Inhaltsangabe: “… clouds. Existing segmentation methods are usually based on hand-crafted algorithms, such as identifying …”
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  3. 2903

    Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy von Euclid Collaboration, Paltani, Stéphane, Coupon, J., Hartley, W. G., Alvarez-Ayllon, A., Dubath, F., Mohr, J. J., Schirmer, M., Cuillandre, J. -C., Desprez, G., Ilbert, O., Kuijken, K., Aghanim, N., Altieri, B., Amara, A., Auricchio, N., Baldi, M., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Camera, S., Capobianco, V., Carbone, C., Cardone, V. F., Carretero, J., Castander, F. J., Castellano, M., Cavuoti, S., Cledassou, R., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Courbin, F., Cropper, M., Da Silva, A., Degaudenzi, H., Dinis, J., Douspis, M., Dupac, X., Dusini, S., Farrens, S., Ferriol, S., Fosalba, P., Frailis, M., Franceschi, E., Franzetti, P., Galeotta, S., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Grazian, A., Haugan, S. V., Hoekstra, H., Hornstrup, A., Hudelot, P., Jahnke, K., Kümmel, M., Kermiche, S., Kiessling, A., Kilbinger, M., Kitching, T., Kohley, R., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Marulli, F., Massey, R., Masters, D. C., Maurogordato, S., McCracken, H. J., Medinaceli, E., Mei, S., Melchior, M., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S. -M., Nightingale, J., Padilla, C., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Polenta, G., Poncet, M., Popa, L. A., Raison, F., Rebolo, R., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Rossetti, E., Saglia, R., Sapone, D., Sartoris, B., Schneider, P., Secroun, A., Sirignano, C., Sirri, G., Skottfelt, J., Stanco, L., Starck, J. -L., Surace, C., Tallada-Crespí, P., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valentijn, E. A., Valenziano, L., Vassallo, T., Wang, Y., Zamorani, G., Zoubian, J., Andreon, S., Aussel, H., Bardelli, S., Bolzonella, M., Boucaud, A., Di Ferdinando, D., Farina, M., Graciá-Carpio, J., Lindholm, V., Maino, D., Mauri, N., Neissner, C., Scottez, V., Zucca, E., Baccigalupi, C., Ballardini, M., Biviano, A., Blanchard, A., Borgani, S., Borlaff, A. S., Burigana, C., Cabanac, R., Cappi, A., Carvalho, C. S., Casas, S., Castignani, G., Chambers, K., Cooray, A. R., Courtois, H. M., Cucciati, O., Davini, S., De Lucia, G., Dole, H., Escartin, J. A., Escoffier, S., Finelli, F., Fotopoulou, S., Ganga, K., George, K., Gozaliasl, G., Hildebrandt, H., Hook, I., Muñoz, A. Jimenez, Joachimi, B., Kansal, V., Keihanen, E., Kirkpatrick, C. C., Loureiro, A., Macias-Perez, J., Maggio, G., Magliocchetti, M., Maoli, R., Marcin, S., Martinelli, M., Martinet, N., Matthew, S., Maurin, L., Metcalf, R. B., Monaco, P., Morgante, G., Nadathur, S., Nucita, A. A., Patrizii, L., Pollack, J. E., Popa, V., Porciani, C., Potter, D., Pourtsidou, A., Pozzetti, L., Pöntinen, M., Reimberg, P., Sánchez, A. G., Sakr, Z., Sefusatti, E., Sereno, M., Mancini, A. Spurio, Stadel, J., Steinwagner, J., Teyssier, R., Valieri, C., Valiviita, J., van Mierlo, S. E., Veropalumbo, A., Viel, M., Weaver, J. R.

    Veröffentlicht 2023
    Inhaltsangabe: “… -fitting. We verified that our algorithm, implemented in the new photo-z code Phosphoros, can effectively …”
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  4. 2904

    Quantum-Based Salp Swarm Algorithm Driven Design Optimization of Savonius Wind Turbine-Cylindrical Deflector System von Singh, Paras, Jaiswal, Vishal, Roy, Subhrajit, Tyagi, Aryan, Kumar, Gaurav, Singh, Raj Kumar

    Veröffentlicht 2024
    Inhaltsangabe: “… . An in-house code for the Quantum-based Salp Swarm Optimization (QSSO) algorithm was then employed to obtain …”
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  5. 2905

    MASSTAR: A Multi-Modal and Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completion von Zheng, Guiyong, Jiang, Jinqi, Feng, Chen, Shen, Shaojie, Zhou, Boyu

    Veröffentlicht 2024
    Inhaltsangabe: “… including rendered RGB images, descriptive texts, depth images, etc, to enhance algorithm performance …”
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  6. 2906

    Agentic AI: The Era of Semantic Decoding von Peyrard, Maxime, Josifoski, Martin, West, Robert

    Veröffentlicht 2024
    Inhaltsangabe: “… semantic processors, including humans and tools, such as search engines or code executors. Collectively …”
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  7. 2907

    Revisiting the apparent horizon finding problem with multigrid methods von Hui, Hon-Ka, Lin, Lap-Ming

    Veröffentlicht 2024
    Inhaltsangabe: “… revisit the apparent horizon finding problem in numerical relativity using multigrid-based algorithms. We …”
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  8. 2908

    Flips in colorful triangulations von Acharya, Rohan, Mütze, Torsten, Verciani, Francesco

    Veröffentlicht 2024
    Inhaltsangabe: “… and algorithmic construction of a tree rotation Gray code for listing all $n$-vertex $k$-ary trees that runs …”
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  9. 2909

    Meent: Differentiable Electromagnetic Simulator for Machine Learning von Kim, Yongha, Jung, Anthony W., Kim, Sanmun, Octavian, Kevin, Heo, Doyoung, Park, Chaejin, Shin, Jeongmin, Nam, Sunghyun, Park, Chanhyung, Park, Juho, Han, Sangjun, Lee, Jinmyoung, Kim, Seolho, Jang, Min Seok, Park, Chan Y.

    Veröffentlicht 2024
    Inhaltsangabe: “… . Traditional algorithms for such tasks require iteratively refining parameters through simulations, which often …”
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  10. 2910

    A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning von Zhou, Anqi, Liu, Yezheng, Chai, Yidong, Zhu, Hongyi, Ge, Xinyue, Jiang, Yuanchun, Wang, Meng

    Veröffentlicht 2024
    Inhaltsangabe: “… novel WGME algorithm. Our code is available at https://github.com/brick-brick/WPCRAM.  …”
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  11. 2911

    Computational Phase Transitions in Two-Dimensional Antiferromagnetic Melting von Weinstein, Zack, Ahmad, Jalal Abu, Podolsky, Daniel, Altman, Ehud

    Veröffentlicht 2024
    Inhaltsangabe: “… in the optimal decoding of quantum error-correcting codes and in the scalable detection of measurement-induced …”
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  12. 2912

    D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning von Rafailov, Rafael, Hatch, Kyle, Singh, Anikait, Smith, Laura, Kumar, Aviral, Kostrikov, Ilya, Hansen-Estruch, Philippe, Kolev, Victor, Ball, Philip, Wu, Jiajun, Finn, Chelsea, Levine, Sergey

    Veröffentlicht 2024
    Inhaltsangabe: “… benchmark will facilitate further progress on both offline RL and fine-tuning algorithms. Website with code …”
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  13. 2913

    Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items von Petrov, Aleksandr V., Macdonald, Craig, Tonellotto, Nicola

    Veröffentlicht 2024
    Inhaltsangabe: “… improvements over the baseline Transformer-based models. Upon analysing RecJPQ's scoring algorithm, we find …”
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  14. 2914

    Never Mind The No-Ops: Faster and Less Volatile Simulation Modelling of Co-Evolutionary Species Interactions via Spatial Cyclic Games von Cliff, Dave

    Veröffentlicht 2024
    Inhaltsangabe: “… of the core ES algorithm is a key concern. In this paper I demonstrate that the de facto standard "Original ES …”
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  15. 2915

    Deep unrolled primal dual network for TOF-PET list-mode image reconstruction von Hu, Rui, Li, Chenxu, Tian, Kun, Cui, Jianan, Chen, Yunmei, Liu, Huafeng

    Veröffentlicht 2024
    Inhaltsangabe: “… reconstruction algorithms still require improvements when dealing with low-count data. Deep learning algorithms …”
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  16. 2916

    DREB-Net: Dual-stream Restoration Embedding Blur-feature Fusion Network for High-mobility UAV Object Detection von Li, Qingpeng, Zhang, Yuxin, Fang, Leyuan, Kang, Yuhan, Li, Shutao, Zhu, Xiao Xiang

    Veröffentlicht 2024
    Inhaltsangabe: “… Object detection algorithms are pivotal components of unmanned aerial vehicle (UAV) imaging systems …”
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  17. 2917

    ROVER: A Multi-Season Dataset for Visual SLAM von Schmidt, Fabian, Daubermann, Julian, Mitschke, Marcel, Blessing, Constantin, Meyer, Stefan, Enzweiler, Markus, Valada, Abhinav

    Veröffentlicht 2024
    Inhaltsangabe: “… the performance of visual SLAM algorithms originally developed for structured urban environments. To address …”
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  18. 2918

    The Ramanujan Library -- Automated Discovery on the Hypergraph of Integer Relations von Beit-Halachmi, Itay, Kaminer, Ido

    Veröffentlicht 2024
    Inhaltsangabe: “… on sporadic strokes of creativity by human mathematicians. Recent developments of algorithms for automated …”
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  19. 2919

    Efficient Algorithm for Sparse Fourier Transform of Generalized $q$-ary Functions von Tsui, Darin, Talreja, Kunal, Aghazadeh, Amirali

    Veröffentlicht 2025
    Inhaltsangabe: “… develop GFast, a coding theoretic algorithm that computes the $S$-sparse Fourier transform of $f$ with a …”
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  20. 2920

    Bipartite Matching is in Catalytic Logspace von Agarwala, Aryan, Mertz, Ian

    Veröffentlicht 2025
    Inhaltsangabe: “… space-bounded algorithms, and surprising connections between catalytic computation and derandomization …”
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