Search Results - (coding OR (endedededededededededededededededededededededededededecoding OR Decoding)) algorithm

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

Table of Contents: “… 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 by Zafari, Ali, Chen, Xi, Jalali, Shirin

Table of Contents: “… 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 by 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.

Table of Contents: “… 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 by Maha Alharbi, Mohammad Alshayeb

Table of Contents: “…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 by Grad, Jean-Noël, Reinauer, Alexander, Holm, Christian, Weeber, Rudolf

Table of Contents: “… 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 by Moradi, Mohsen, Mahdavifar, Hessam

Table of Contents: “…. 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 by Baumann, Philipp, Hochbaum, Dorit S.

Table of Contents: “… 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 by Greco, Antonino, Siegel, Markus

Table of Contents: “… 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 by Giordano, Matteo, Wang, Sven

Table of Contents: “… 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 by Cain, Madelyn, Xu, Qian, King, Robbie, Picard, Lewis R. B., Levine, Harry, Endres, Manuel, Preskill, John, Huang, Hsin-Yuan, Bluvstein, Dolev

Table of Contents: “…-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 by Fatemeh Daneshfar, Mohammad Javad Aghajani

Table of Contents: “… 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 by Chamberland, Christopher, Olle, Jan, Li, Muyuan, Thornton, Scott, Baratta, Igor

Table of Contents: “…-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 by Griffin, Joseph, Yuan, Peihong, Duffy, Ken R., Medard, Muriel

Table of Contents: “…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 by De Sojo, Sílvia, Lucchini, Lorenzo, Langle-Chimal, Ollin D., Fraiberger, Samuel P., Alessandretti, Laura

Table of Contents: “… 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 by Maistrello, Manuele, Maccary, Romain, Guidorzi, Cristiano

Table of Contents: “…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 by Ly, Hoang, Soljanin, Emina, Schleppy, Michael

Table of Contents: “…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 by Gesson, Levana, Henning, Greg, Collin, Jonathan, Vanstalle, Marie

Table of Contents: “…) 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 by Edgar, P. D., Hall, Alia

Table of Contents: “…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 by Shyam, Vasudev, Pilault, Jonathan, Shepperd, Emily, Anthony, Quentin, Millidge, Beren

Table of Contents: “… 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 by Lee, Jaeseong, hwang, seung-won, Qiao, Aurick, Oliaro, Gabriele, Wang, Ye, Rajbhandari, Samyam

Table of Contents: “… hybrid algorithm combining both tree and non-tree decoding methods. We release all code and datasets…”
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