Risultati della ricerca - (coding OR (endedededededededededededededededededededededededecoding OR Decoding)) algorithm

Performance optimization of BLAS algorithms with band matrices for RISC-V processors di Pirova, Anna, Vodeneeva, Anastasia, Kovalev, Konstantin, Ustinov, Alexander, Kozinov, Evgeny, Liniov, Alexey, Volokitin, Valentin, Meyerov, Iosif

Sommario: “... for x86-64 onto RISC-V CPUs? Are current compilers capable of effectively optimizing C and C++ codes...”
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Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework di Zafari, Ali, Chen, Xi, Jalali, Shirin

Sommario: “... the theoretical foundations of compression-based denoising. Our code is available at: https://github.com...”
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Scaling and logic in the color code on a superconducting quantum processor di 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.

Sommario: “... devices and the extremely low logical error rates required for quantum algorithms. Recent error-correction...”
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An empirical investigation of the relationship between pattern grime and code smells di Maha Alharbi, Mohammad Alshayeb

Sommario: “...An empirical investigation of the relationship between pattern grime and code smells Maha Alharbi...”
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Pathway to exascale: experiences in adopting more scalable algorithms in ESPResSo di Grad, Jean-Noël, Reinauer, Alexander, Holm, Christian, Weeber, Rudolf

Sommario: “... particle-based methods and grid-based methods. These algorithms have hardware-dependent performance...”
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Efficient Low-Memory Fast Stack Decoding with Variance Polarization for PAC Codes di Moradi, Mohsen, Mahdavifar, Hessam

Sommario: “.... In this paper, we propose an enhanced stack decoding algorithm for PAC codes that significantly improves...”
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An algorithm for clustering with confidence-based must-link and cannot-link constraints di Baumann, Philipp, Hochbaum, Dorit S.

Sommario: “... of runtime and various metrics of solution quality. The code of the PCCC algorithm is publicly available...”
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A spatiotemporal style transfer algorithm for dynamic visual stimulus generation di Greco, Antonino, Siegel, Markus

Sommario: “... of predictive coding deep networks. These results showcase potential applications of our algorithm as a...”
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Statistical algorithms for low-frequency diffusion data: A PDE approach di Giordano, Matteo, Wang, Sven

Sommario: “... implementation of a large class of popular statistical algorithms, including (i) preconditioned Crank-Nicolson...”
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Shor's algorithm is possible with as few as 10,000 reconfigurable atomic qubits di Cain, Madelyn, Xu, Qian, King, Robbie, Picard, Lewis R. B., Levine, Harry, Endres, Manuel, Preskill, John, Huang, Hsin-Yuan, Bluvstein, Dolev

Sommario: “...-correcting codes, efficient logical instruction sets, and circuit design, we show that Shor's algorithm can...”
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Enhanced text classification through an improved discrete laying chicken algorithm di Fatemeh Daneshfar, Mohammad Javad Aghajani

Sommario: “... of the proposed algorithm in comparison to the existing one. The code is available at https://github.com/m0javad...”
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Fast and accurate AI-based pre-decoders for surface codes di Chamberland, Christopher, Olle, Jan, Li, Muyuan, Thornton, Scott, Baratta, Igor

Sommario: “...-decoder for the surface code that performs local, parallel error correction with low decoding runtimes...”
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Using a Single-Parity-Check to Reduce the Guesswork of Guessing Codeword Decoding di Griffin, Joseph, Yuan, Peihong, Duffy, Ken R., Medard, Muriel

Sommario: “...Guessing Codeword Decoding (GCD) is a recently proposed soft-input forward error correction decoder...”
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HoWDe: a validated algorithm for Home and Work location Detection di De Sojo, Sílvia, Lucchini, Lorenzo, Langle-Chimal, Ollin D., Fraiberger, Samuel P., Alessandretti, Laura

Sommario: “... rates, and differences in data sparsity across individuals. The code allows users to tune a small set...”
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FAST-MEPSA: an optimised and faster version of peak detection algorithm MEPSA di Maistrello, Manuele, Maccary, Romain, Guidorzi, Cristiano

Sommario: “...We present FAST-MEPSA, an optimised version of the MEPSA algorithm developed to detect peaks...”
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Universal Maximum Likelihood (List) Decoding via Fast Vector-Matrix Multiplication di Ly, Hoang, Soljanin, Emina, Schleppy, Michael

Sommario: “...Maximum-likelihood (ML) decoding for arbitrary block codes remains fundamentally hard, with worst...”
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Enhancing nuclear cross-section predictions with deep learning: the DINo algorithm di Gesson, Levana, Henning, Greg, Collin, Jonathan, Vanstalle, Marie

Sommario: “...) is introduced as a deep learning-based algorithm designed to improve cross-section predictions by learning...”
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Decoding the Black Box: Discerning AI Rhetorics About and Through Poetic Prompting di Edgar, P. D., Hall, Alia

Sommario: “...Prompt engineering has emerged as a useful way studying the algorithmic tendencies and biases...”
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Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters di Shyam, Vasudev, Pilault, Jonathan, Shepperd, Emily, Anthony, Quentin, Millidge, Beren

Sommario: “... in parallel through a tree reduction. Our algorithm, called Tree Attention, for parallelizing exact attention...”
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OWL: Overcoming Window Length-Dependence in Speculative Decoding for Long-Context Inputs di Lee, Jaeseong, hwang, seung-won, Qiao, Aurick, Oliaro, Gabriele, Wang, Ye, Rajbhandari, Samyam

Sommario: “... hybrid algorithm combining both tree and non-tree decoding methods. We release all code and datasets...”
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