Resultados de búsqueda - (coding OR Decoding) algorithm

  1. 601
  2. 602

    Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework por Zafari, Ali, Chen, Xi, Jalali, Shirin

    Publicado 2025
    Tabla de Contenidos: “… the theoretical foundations of compression-based denoising. Our code is available at: https://github.com…”
    Enlace del recurso
    Preprint
  3. 603

    Scaling and logic in the color code on a superconducting quantum processor por Lacroix, Nathan, Bourassa, Alexandre, Heras, Francisco J. H., Zhang, Lei M., Bausch, Johannes, Senior, Andrew W., Edlich, Thomas, Shutty, Noah, Sivak, Volodymyr, Bengtsson, Andreas, McEwen, Matt, Higgott, Oscar, Kafri, Dvir, Claes, Jahan, Morvan, Alexis, Chen, Zijun, Zalcman, Adam, Madhuk, Sid, Acharya, Rajeev, Beni, Laleh Aghababaie, Aigeldinger, Georg, Alcaraz, Ross, Andersen, Trond I., Ansmann, Markus, Arute, Frank, Arya, Kunal, Asfaw, Abraham, Atalaya, Juan, Babbush, Ryan, Ballard, Brian, Bardin, Joseph C., Bilmes, Alexander, Blackwell, Sam, Bovaird, Jenna, Bowers, Dylan, Brill, Leon, Broughton, Michael, Browne, David A., Buchea, Brett, Buckley, Bob B., Burger, Tim, Burkett, Brian, Bushnell, Nicholas, Cabrera, Anthony, Campero, Juan, Chang, Hung-Shen, Chiaro, Ben, Chih, Liang-Ying, Cleland, Agnetta Y., Cogan, Josh, Collins, Roberto, Conner, Paul, Courtney, William, Crook, Alexander L., Curtin, Ben, Das, Sayan, Demura, Sean, De Lorenzo, Laura, Di Paolo, Agustin, Donohoe, Paul, Drozdov, Ilya, Dunsworth, Andrew, Eickbusch, Alec, Elbag, Aviv Moshe, Elzouka, Mahmoud, Erickson, Catherine, Ferreira, Vinicius S., Burgos, Leslie Flores, Forati, Ebrahim, Fowler, Austin G., Foxen, Brooks, Ganjam, Suhas, Garcia, Gonzalo, Gasca, Robert, Genois, Élie, Giang, William, Gilboa, Dar, Gosula, Raja, Dau, Alejandro Grajales, Graumann, Dietrich, Greene, Alex, Gross, Jonathan A., Ha, Tan, Habegger, Steve, Hansen, Monica, Harrigan, Matthew P., Harrington, Sean D., Heslin, Stephen, Heu, Paula, Hiltermann, Reno, Hilton, Jeremy, Hong, Sabrina, Huang, Hsin-Yuan, Huff, Ashley, Huggins, William J., Jeffrey, Evan, Jiang, Zhang, Jin, Xiaoxuan, Joshi, Chaitali, Juhas, Pavol, Kabel, Andreas, Kang, Hui, Karamlou, Amir H., Kechedzhi, Kostyantyn, Khaire, Trupti, Khattar, Tanuj, Khezri, Mostafa, Kim, Seon, Klimov, Paul V., Kobrin, Bryce, Korotkov, Alexander N., Kostritsa, Fedor, Kreikebaum, John Mark, Kurilovich, Vladislav D., Landhuis, David, Lange-Dei, Tiano, Langley, Brandon W., Laptev, Pavel, Lau, Kim-Ming, Ledford, Justin, Lee, Kenny, Lester, Brian J., Guevel, Loïck Le, Li, Wing Yan, Li, Yin, Lill, Alexander T., Livingston, William P., Locharla, Aditya, Lucero, Erik, Lundahl, Daniel, Lunt, Aaron, Maloney, Ashley, Mandrà, Salvatore, Martin, Leigh S., Martin, Orion, Maxfield, Cameron, McClean, Jarrod R., Meeks, Seneca, Megrant, Anthony, Miao, Kevin C., Molavi, Reza, Molina, Sebastian, Montazeri, Shirin, Movassagh, Ramis, Neill, Charles, Newman, Michael, Nguyen, Anthony, Nguyen, Murray, Ni, Chia-Hung, Niu, Murphy Y., Oas, Logan, Oliver, William D., Orosco, Raymond, Ottosson, Kristoffer, Pizzuto, Alex, Potter, Rebecca, Pritchard, Orion, Quintana, Chris, Ramachandran, Ganesh, Reagor, Matthew J., Resnick, Rachel, Rhodes, David M., Roberts, Gabrielle, Rosenberg, Eliott, Rosenfeld, Emma, Rossi, Elizabeth, Roushan, Pedram, Sankaragomathi, Kannan, Schurkus, Henry F., Shearn, Michael J., Shorter, Aaron, Shvarts, Vladimir, Small, Spencer, Smith, W. Clarke, Springer, Sofia, Sterling, George, Suchard, Jordan, Szasz, Aaron, Sztein, Alex, Thor, Douglas, Tomita, Eifu, Torres, Alfredo, Torunbalci, M. Mert, Vaishnav, Abeer, Vargas, Justin, Vdovichev, Sergey, Vidal, Guifre, Heidweiller, Catherine Vollgraff, Waltman, Steven, Waltz, Jonathan, Wang, Shannon X., Ware, Brayden, Weidel, Travis, White, Theodore, Wong, Kristi, Woo, Bryan W. K., Woodson, Maddy, Xing, Cheng, Yao, Z. Jamie, Yeh, Ping, Ying, Bicheng, Yoo, Juhwan, Yosri, Noureldin, Young, Grayson, Zhang, Yaxing, Zhu, Ningfeng, Zobrist, Nicholas, Neven, Hartmut, Kohli, Pushmeet, Davies, Alex, Boixo, Sergio, Kelly, Julian, Jones, Cody, Gidney, Craig, Satzinger, Kevin J.

    Publicado 2024
    Tabla de Contenidos: “… devices and the extremely low logical error rates required for quantum algorithms. Recent error-correction…”
    Enlace del recurso
    Preprint
  4. 604

    An empirical investigation of the relationship between pattern grime and code smells por Maha Alharbi, Mohammad Alshayeb

    Publicado 2024
    Tabla de Contenidos: “…An empirical investigation of the relationship between pattern grime and code smells Maha Alharbi…”
    Enlace del recurso
    Artículo Open Access
  5. 605

    Pathway to exascale: experiences in adopting more scalable algorithms in ESPResSo por Grad, Jean-Noël, Reinauer, Alexander, Holm, Christian, Weeber, Rudolf

    Publicado 2024
    Tabla de Contenidos: “… particle-based methods and grid-based methods. These algorithms have hardware-dependent performance…”
    Enlace del recurso
    Recurso digital
  6. 606

    Efficient Low-Memory Fast Stack Decoding with Variance Polarization for PAC Codes por Moradi, Mohsen, Mahdavifar, Hessam

    Publicado 2025
    Tabla de Contenidos: “…. In this paper, we propose an enhanced stack decoding algorithm for PAC codes that significantly improves…”
    Enlace del recurso
    Preprint
  7. 607

    An algorithm for clustering with confidence-based must-link and cannot-link constraints por Baumann, Philipp, Hochbaum, Dorit S.

    Publicado 2022
    Tabla de Contenidos: “… of runtime and various metrics of solution quality. The code of the PCCC algorithm is publicly available…”
    Enlace del recurso
    Preprint
  8. 608

    A spatiotemporal style transfer algorithm for dynamic visual stimulus generation por Greco, Antonino, Siegel, Markus

    Publicado 2024
    Tabla de Contenidos: “… of predictive coding deep networks. These results showcase potential applications of our algorithm as a…”
    Enlace del recurso
    Preprint
  9. 609

    Statistical algorithms for low-frequency diffusion data: A PDE approach por Giordano, Matteo, Wang, Sven

    Publicado 2024
    Tabla de Contenidos: “… implementation of a large class of popular statistical algorithms, including (i) preconditioned Crank-Nicolson…”
    Enlace del recurso
    Preprint
  10. 610

    Shor's algorithm is possible with as few as 10,000 reconfigurable atomic qubits por Cain, Madelyn, Xu, Qian, King, Robbie, Picard, Lewis R. B., Levine, Harry, Endres, Manuel, Preskill, John, Huang, Hsin-Yuan, Bluvstein, Dolev

    Publicado 2026
    Tabla de Contenidos: “…-correcting codes, efficient logical instruction sets, and circuit design, we show that Shor's algorithm can…”
    Enlace del recurso
    Preprint
  11. 611

    Enhanced text classification through an improved discrete laying chicken algorithm por Fatemeh Daneshfar, Mohammad Javad Aghajani

    Publicado 2024
    Tabla de Contenidos: “… of the proposed algorithm in comparison to the existing one. The code is available at https://github.com/m0javad…”
    Enlace del recurso
    Artículo Open Access
  12. 612

    Fast and accurate AI-based pre-decoders for surface codes por Chamberland, Christopher, Olle, Jan, Li, Muyuan, Thornton, Scott, Baratta, Igor

    Publicado 2026
    Tabla de Contenidos: “…-decoder for the surface code that performs local, parallel error correction with low decoding runtimes…”
    Enlace del recurso
    Preprint
  13. 613

    Using a Single-Parity-Check to Reduce the Guesswork of Guessing Codeword Decoding por Griffin, Joseph, Yuan, Peihong, Duffy, Ken R., Medard, Muriel

    Publicado 2024
    Tabla de Contenidos: “…Guessing Codeword Decoding (GCD) is a recently proposed soft-input forward error correction decoder…”
    Enlace del recurso
    Preprint
  14. 614

    HoWDe: a validated algorithm for Home and Work location Detection por De Sojo, Sílvia, Lucchini, Lorenzo, Langle-Chimal, Ollin D., Fraiberger, Samuel P., Alessandretti, Laura

    Publicado 2025
    Tabla de Contenidos: “… rates, and differences in data sparsity across individuals. The code allows users to tune a small set…”
    Enlace del recurso
    Preprint
  15. 615

    FAST-MEPSA: an optimised and faster version of peak detection algorithm MEPSA por Maistrello, Manuele, Maccary, Romain, Guidorzi, Cristiano

    Publicado 2025
    Tabla de Contenidos: “…We present FAST-MEPSA, an optimised version of the MEPSA algorithm developed to detect peaks…”
    Enlace del recurso
    Preprint
  16. 616

    Universal Maximum Likelihood (List) Decoding via Fast Vector-Matrix Multiplication por Ly, Hoang, Soljanin, Emina, Schleppy, Michael

    Publicado 2025
    Tabla de Contenidos: “…Maximum-likelihood (ML) decoding for arbitrary block codes remains fundamentally hard, with worst…”
    Enlace del recurso
    Preprint
  17. 617

    Enhancing nuclear cross-section predictions with deep learning: the DINo algorithm por Gesson, Levana, Henning, Greg, Collin, Jonathan, Vanstalle, Marie

    Publicado 2025
    Tabla de Contenidos: “…) is introduced as a deep learning-based algorithm designed to improve cross-section predictions by learning…”
    Enlace del recurso
    Preprint
  18. 618

    Decoding the Black Box: Discerning AI Rhetorics About and Through Poetic Prompting por Edgar, P. D., Hall, Alia

    Publicado 2025
    Tabla de Contenidos: “…Prompt engineering has emerged as a useful way studying the algorithmic tendencies and biases…”
    Enlace del recurso
    Preprint
  19. 619

    Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters por Shyam, Vasudev, Pilault, Jonathan, Shepperd, Emily, Anthony, Quentin, Millidge, Beren

    Publicado 2024
    Tabla de Contenidos: “… in parallel through a tree reduction. Our algorithm, called Tree Attention, for parallelizing exact attention…”
    Enlace del recurso
    Preprint
  20. 620

    OWL: Overcoming Window Length-Dependence in Speculative Decoding for Long-Context Inputs por Lee, Jaeseong, hwang, seung-won, Qiao, Aurick, Oliaro, Gabriele, Wang, Ye, Rajbhandari, Samyam

    Publicado 2025
    Tabla de Contenidos: “… hybrid algorithm combining both tree and non-tree decoding methods. We release all code and datasets…”
    Enlace del recurso
    Preprint