Risultati della ricerca - (coding OR Decoding) (algorithmssssics OR (algorithm OR (algorithm OR algorithmicsics)))

BATSRUS GPU: Faster-than-Real-Time Magnetospheric Simulations with a Block-Adaptive Grid Code di An, Yifu, Chen, Yuxi, Zhou, Hongyang, Gaenko, Alexander, Tóth, Gábor

Sommario: “...BATSRUS, our state-of-the-art extended magnetohydrodynamic code, is the most used and one...”
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Game of Coding With an Unknown Adversary di Akbarinodehi, Hanzaleh, Moradi, Parsa, Maddah-Ali, Mohammad Ali

Sommario: “...Motivated by emerging decentralized applications, the \emph{game of coding} framework has been...”
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A fast and memoryless numerical method for solving fractional differential equations di Guglielmi, Nicola, Hairer, Ernst

Sommario: “... integrators has been largely investigated and there exist many excellent efficient codes available...”
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Explainer-guided Targeted Adversarial Attacks against Binary Code Similarity Detection Models di Chen, Mingjie, Zhu, Tiancheng, Zhang, Mingxue, He, Yiling, Lin, Minghao, Li, Penghui, Ren, Kui

Sommario: “... mainly relied on heuristic criteria or iterative greedy algorithms to locate salient code influencing...”
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DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving di Zhang, Zhihao, Li, Siyuan, Li, Chenxi, Liu, Feifan, Chen, Mengjing, Li, Kai, Zhong, Tao, An, Bo, Liu, Peng

Sommario: “... (MILP) solvers. As large language models (LLMs) have demonstrated superior code generation abilities...”
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Re-evaluating LLM-based Heuristic Search: A Case Study on the 3D Packing Problem di Quan, Guorui, Sun, Mingfei, López-Ibáñez, Manuel

Sommario: “... (LLMs) can generate code for search heuristics, their application has largely been confined to adjusting...”
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How Small Transformation Expose the Weakness of Semantic Similarity Measures di Nikiema, Serge Lionel, Djire, Albérick Euraste, Bonkoungou, Abdoul Aziz, Moumoula, Micheline Bénédicte, Samhi, Jordan, Kabore, Abdoul Kader, Klein, Jacques, Bissyande, Tegawendé F.

Sommario: “... for various software engineering applications such as code search, API recommendations, automated code reviews...”
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MEC$^3$O: Multi-Expert Consensus for Code Time Complexity Prediction di Hahn, Joonghyuk, Lim, Soohan, Han, Yo-Sub

Sommario: “...Predicting the complexity of source code is essential for software development and algorithm...”
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Reasoning Distillation and Structural Alignment for Improved Code Generation di Jalilifard, Amir, Rocha, Anderson de Rezende, Raimundo, Marcos Medeiros

Sommario: “... understanding the intent of the prompt and generating code that applies algorithmic reasoning to produce correct...”
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InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM Research di Wu, Yunze, Fu, Dayuan, Si, Weiye, Huang, Zhen, Jiang, Mohan, Li, Keyu, Xia, Shijie, Sun, Jie, Xu, Tianze, Hu, Xiangkun, Lu, Pengrui, Cai, Xiaojie, Ye, Lyumanshan, Zhu, Wenhong, Xiao, Yang, Liu, Pengfei

Sommario: “... models show promise in code-driven research tasks, they struggle with fragile algorithm-related tasks...”
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Reinforcement Learning Control of Quantum Error Correction di Sivak, Volodymyr, Morvan, Alexis, Broughton, Michael, Cortiñas, Rodrigo G., Bausch, Johannes, Senior, Andrew W., Neeley, Matthew, Eickbusch, Alec, Shutty, Noah, Beni, Laleh Aghababaie, Spencer, James S., Heras, Francisco J. H, Edlich, Thomas, Abanin, Dmitry, Abbas, Amira, Acharya, Rajeev, Aigeldinger, Georg, Alcaraz, Ross, Alcaraz, Sayra, Andersen, Trond I., Ansmann, Markus, Arute, Frank, Arya, Kunal, Askew, Walt, Astrakhantsev, Nikita, Atalaya, Juan, Ballard, Brian, Bardin, Joseph C., Bates, Hector, Bengtsson, Andreas, Karimi, Majid Bigdeli, Bilmes, Alexander, Bilodeau, Simon, Borjans, Felix, Bourassa, Alexandre, Bovaird, Jenna, Bowers, Dylan, Brill, Leon, Brooks, Peter, Browne, David A., Buchea, Brett, Buckley, Bob B., Burger, Tim, Burkett, Brian, Bushnell, Nicholas, Busnaina, Jamal, Cabrera, Anthony, Campero, Juan, Chang, Hung-Shen, Chen, Silas, Chiaro, Ben, Chih, Liang-Ying, Cleland, Agnetta Y., Cochrane, Bryan, Cockrell, Matt, Cogan, Josh, Collins, Roberto, Conner, Paul, Cook, Harold, Courtney, William, Crook, Alexander L., Curtin, Ben, Damyanov, Martin, Das, Sayan, Debroy, Dripto M., Demura, Sean, Donohoe, Paul, Drozdov, Ilya, Dunsworth, Andrew, Ehimhen, Valerie, Elbag, Aviv Moshe, Ella, Lior, Elzouka, Mahmoud, Enriquez, David, Erickson, Catherine, Ferreira, Vinicius S., Flores, Marcos, Burgos, Leslie Flores, Forati, Ebrahim, Ford, Jeremiah, Fowler, Austin G., Foxen, Brooks, Fukami, Masaya, Fung, Alan Wing Lun, Fuste, Lenny, Ganjam, Suhas, Garcia, Gonzalo, Garrick, Christopher, Gasca, Robert, Gehring, Helge, Geiger, Robert, Genois, Élie, Giang, William, Gilboa, Dar, Goeders, James E., Gonzales, Edward C., Gosula, Raja, de Graaf, Stijn J., Dau, Alejandro Grajales, Graumann, Dietrich, Grebel, Joel, Greene, Alex, Gross, Jonathan A., Guerrero, Jose, Guevel, Loïck Le, Ha, Tan, Habegger, Steve, Hadick, Tanner, Hadjikhani, Ali, Hamilton, Michael C., Harrigan, Matthew P., Harrington, Sean D., Hartshorn, Jeanne, Heslin, Stephen, Heu, Paula, Higgott, Oscar, Hiltermann, Reno, Huang, Hsin-Yuan, Hucka, Mike, Hudspeth, Christopher, Huff, Ashley, Huggins, William J., Jeffrey, Evan, Jevons, Shaun, Jiang, Zhang, Jin, Xiaoxuan, Joshi, Chaitali, Juhas, Pavol, Kabel, Andreas, Kafri, Dvir, Kang, Hui, Kang, Kiseo, Karamlou, Amir H., Kaufman, Ryan, Kechedzhi, Kostyantyn, Khattar, Tanuj, Khezri, Mostafa, Kim, Seon, Knaut, Can M., Kobrin, Bryce, Kostritsa, Fedor, Kreikebaum, John Mark, Kudo, Ryuho, Kueffler, Ben, Kumar, Arun, Kurilovich, Vladislav D., Kutsko, Vitali, Lacroix, Nathan, Landhuis, David, Lange-Dei, Tiano, Langley, Brandon W., Laptev, Pavel, Lau, Kim-Ming, Ledford, Justin, Lee, Joy, Lee, Kenny, Lester, Brian J., Leung, Wendy, Li, Lily, Li, Wing Yan, Li, Ming, Lill, Alexander T., Livingston, William P., Lloyd, Matthew T., Locharla, Aditya, De Lorenzo, Laura, Lundahl, Daniel, Lunt, Aaron, Madhuk, Sid, Maiti, Aniket, Maloney, Ashley, Mandrà, Salvatore, Martin, Leigh S., Martin, Orion, Mascot, Eric, Das, Paul Masih, Maslov, Dmitri, Mathews, Melvin, Maxfield, Cameron, McClean, Jarrod R., McEwen, Matt, Meeks, Seneca, Miao, Kevin C., Minev, Zlatko K., Molavi, Reza, Molina, Sebastian, Montazeri, Shirin, Neill, Charles, Newman, Michael, Nguyen, Anthony, Nguyen, Murray, Ni, Chia-Hung, Niu, Murphy Yuezhen, Oas, Logan, Orosco, Raymond, Ottosson, Kristoffer, Pagano, Alice, Di Paolo, Agustin, Peek, Sherman, Peterson, David, Pizzuto, Alex, Portoles, Elias, Potter, Rebecca, Pritchard, Orion, Qian, Michael, Quintana, Chris, Ranadive, Arpit, Reagor, Matthew J., Resnick, Rachel, Rhodes, David M., Riley, Daniel, Roberts, Gabrielle, Rodriguez, Roberto, Ropes, Emma, De Rose, Lucia B., Rosenberg, Eliott, Rosenfeld, Emma, Rosenstock, Dario, Rossi, Elizabeth, Roushan, Pedram, Rower, David A., Salazar, Robert, Sankaragomathi, Kannan, Sarihan, Murat Can, Satzinger, Kevin J., Schaefer, Max, Schroeder, Sebastian, Schurkus, Henry F., Shahingohar, Aria, Shearn, Michael J., Shorter, Aaron, Shvarts, Vladimir, Small, Spencer, Smith, W. Clarke, Sobel, David A., Spells, Barrett, Springer, Sofia, Sterling, George, Suchard, Jordan, Szasz, Aaron, Sztein, Alexander, Taylor, Madeline, Thiruraman, Jothi Priyanka, Thor, Douglas, Timucin, Dogan, Tomita, Eifu, Torres, Alfredo, Torunbalci, M. Mert, Tran, Hao, Vaishnav, Abeer, Vargas, Justin, Vdovichev, Sergey, Vidal, Guifre, Heidweiller, Catherine Vollgraff, Voorhees, Meghan, Waltman, Steven, Waltz, Jonathan, Wang, Shannon X., Ware, Brayden, Watson, James D., Wei, Yonghua, Weidel, Travis, White, Theodore, Wong, Kristi, Woo, Bryan W. K., Wood, Christopher J., Woodson, Maddy, Xing, Cheng, Yao, Z. Jamie, Yeh, Ping, Ying, Bicheng, Yoo, Juhwan, Yosri, Noureldin, Young, Elliot, Young, Grayson, Zalcman, Adam, Zhang, Ran, Zhang, Yaxing, Zhu, Ningfeng, Zobrist, Nicholas, Zou, Zhenjie, Babbush, Ryan, Bacon, Dave, Boixo, Sergio, Chen, Yu, Chen, Zijun, Devoret, Michel, Hansen, Monica, Hilton, Jeremy, Jones, Cody, Kelly, Julian, Korotkov, Alexander N., Lucero, Erik, Megrant, Anthony, Neven, Hartmut, Oliver, William D., Ramachandran, Ganesh, Smelyanskiy, Vadim, Klimov, Paul V.

Sommario: “... computation for recalibration, is unsustainable for the long runtimes of the future algorithms. We address...”
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Can LLMs Recover Program Semantics? A Systematic Evaluation with Symbolic Execution di Feng, Rong, Saha, Suman

Sommario: “... code often introduce transformations that obscure program intent, existing analysis tools and large...”
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Multiaccess Coded Caching with Heterogeneous Retrieval Costs di Huang, Wenbo, Cheng, Minquan, Wan, Kai, Li, Xiaojun, Qiu, Robert Caiming, Caire, Giuseppe

Sommario: “...The multiaccess coded caching (MACC) system, as formulated by Hachem {\it et al.}, consists of a...”
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WirelessAgent++: Automated Agentic Workflow Design and Benchmarking for Wireless Networks di Tong, Jingwen, Li, Zijian, Liu, Fang, Guo, Wei, Zhang, Jun

Sommario: “... workflows for various wireless tasks. By treating each workflow as an executable code composed of modular...”
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Secure Network Function Computation for General Target and Security Functions di Zhou, Qin, Fu, Fang-Wei

Sommario: “...Secure network function computation is a critical research direction in network coding, which aims...”
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Exploring Pass-Rate Reward in Reinforcement Learning for Code Generation di Li, Xin-Ye, Liu, Ren-Biao, Zhang, Yun-Ji, Sun, Hui, Xie, Zheng, Li, Ming

Sommario: “... for improving large language models (LLMs) on code generation. However, the pass-all-tests binary reward can...”
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Book II: The Dey Encoding Scheme: A Formal System for Consciousness Definition Classification di Dey, Prabahan

Sommario: “... for the Dey theory framework. It assigns unique numerical codes to consciousness definations based...”
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Generating Image Adversarial Examples by Embedding Digital Watermarks di Xiang, Yuexin, Li, Tiantian, Ren, Wei, Zhu, Tianqing, Choo, Kim-Kwang Raymond

Sommario: “... the improved discrete wavelet transform (DWT) based Patchwork watermarking algorithm with a set of valid...”
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DNA: Differentiable Network-Accelerator Co-Search di Zhang, Yongan, Fu, Yonggan, Jiang, Weiwen, Li, Chaojian, You, Haoran, Li, Meng, Chandra, Vikas, Lin, Yingyan Celine

Sommario: “... DNN accelerators and compatible with DNN frameworks such as PyTorch to enable algorithmic exploration...”
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AutoGL: A Library for Automated Graph Learning di Zhang, Ziwei, Qin, Yijian, Zhang, Zeyang, Guan, Chaoyu, Cai, Jie, Chang, Heng, Jiang, Jiyan, Li, Haoyang, Sun, Zixin, Xie, Beini, Yao, Yang, Zhang, Yipeng, Wang, Xin, Zhu, Wenwu

Sommario: “... on graphs. However, manually designing the optimal machine learning algorithms for different graph datasets...”
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