Resultados de búsqueda - coding (Algorithmssssics OR (algorithm OR ((algorithm OR algorithm) OR Algorithmssssics)))

CodeImprove: Program Adaptation for Deep Code Models por Rathnasuriya, Ravishka, Zhao, Zijie, Yang, Wei

Tabla de Contenidos: “…Leveraging deep learning (DL)-based code analysis tools to solve software engineering tasks…”
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Code-switching Speech Recognition Under the Lens: Model- and Data-Centric Perspectives por Liu, Hexin, Zhang, Haoyang, Zhang, Qiquan, Zhang, Xiangyu, Shi, Dongyuan, Chng, Eng Siong, Li, Haizhou

Tabla de Contenidos: “… code-switching data further compounds these challenges. In this paper, we systematically analyze CS-ASR…”
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Communication-Efficient Approximate Gradient Coding por Munim, Sifat, Ramamoorthy, Aditya

Tabla de Contenidos: “… parameter server (PS) and multiple workers. Gradient coding is a technique that makes the learning process…”
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Polar Complexity: A New Descriptive Complexity with Applications to Source and Joint Source-Channel Coding por Yao, Xinyuanmeng, Ma, Xiao

Tabla de Contenidos: “… complexity efficiently, we further develop both a bisection-search algorithm and a low-complexity estimation…”
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Synthesis and Optimization of Encoding Circuits for Fault-Tolerant Quantum Computation por Peham, Tom, Steinberg, Matthew, Wille, Robert, Heußen, Sascha

Tabla de Contenidos: “… codes. We formulate encoder synthesis as a search over stabilizer tableaus and introduce greedy…”
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How Many Code and Test Cases Are Enough? Evaluating Test Cases Generation from a Binary-Matrix Perspective por Luo, Xianzhen, Huang, Jinyang, Zheng, Wenzhen, Zhu, Qingfu, Xu, Mingzheng, Xu, Yiheng, Fan, Yuantao, Che, Wanxiang

Tabla de Contenidos: “… approximation algorithm to select maximally diverse wrong codes. Applying this framework to millions…”
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Benchmarking PhD-Level Coding in 3D Geometric Computer Vision por Li, Wenyi, Luo, Renkai, Yu, Yue, Gao, Huan-ang, Gao, Mingju, Yuan, Li, Fu, Chaoyou, Zhao, Hao

Tabla de Contenidos: “…AI-assisted coding has rapidly reshaped software practice and research workflows, yet today…”
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Efficient Routing of Quantum LDPC Codes on Programmable 2D Toric Architectures por Liu, Kun, Tsunoda, Takahiro, Xue, Sophia H., McKinney, Evan, Zhou, Zeyuan, Xu, Shifan, Schoelkopf, Robert J., Ding, Yongshan

Tabla de Contenidos: “…, our qubit layout and routing algorithm utilize symmetries of the codes and enable maximum parallelism…”
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Efficient List-decoding of Polynomial Ideal Codes with Optimal List Size por Ron-Zewi, Noga, Venkitesh, S., Wootters, Mary

Tabla de Contenidos: “… codes are list decodable with optimal list size with high probability, i.e., they attain the Singleton…”
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Entanglement Purification with Quantum LDPC Codes and Iterative Decoding por Rengaswamy, Narayanan, Raveendran, Nithin, Raina, Ankur, Vasić, Bane

Tabla de Contenidos: “…Recent constructions of quantum low-density parity-check (QLDPC) codes provide optimal scaling…”
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HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark por Li, Chaojian, Yu, Zhongzhi, Fu, Yonggan, Zhang, Yongan, Zhao, Yang, You, Haoran, Yu, Qixuan, Wang, Yue, Lin, Yingyan Celine

Tabla de Contenidos: “…-disciplinary knowledge in the algorithm, micro-architecture, and device-specific compilation. First…”
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Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings por Hammouamri, Ilyass, Khalfaoui-Hassani, Ismail, Masquelier, Timothée

Tabla de Contenidos: “… the expressivity in SNNs. Yet, efficient algorithms to learn these delays have been lacking. Here, we propose a new…”
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Large Language Models to Identify Social Determinants of Health in Electronic Health Records por Guevara, Marco, Chen, Shan, Thomas, Spencer, Chaunzwa, Tafadzwa L., Franco, Idalid, Kann, Benjamin, Moningi, Shalini, Qian, Jack, Goldstein, Madeleine, Harper, Susan, Aerts, Hugo JWL, Savova, Guergana K., Mak, Raymond H., Bitterman, Danielle S.

Tabla de Contenidos: “… and assessed for algorithmic bias. Our best-performing models were fine-tuned Flan-T5 XL (macro-F1 0.71…”
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Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised Clustering por Wu, Haiwei, Chen, Yiming, Zhou, Jiantao, Li, Yuanman

Tabla de Contenidos: “… detection algorithms formulate classification problems to classify pixels into forged or pristine. However…”
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Instant3D: Instant Text-to-3D Generation por Li, Ming, Zhou, Pan, Liu, Jia-Wei, Keppo, Jussi, Lin, Min, Yan, Shuicheng, Xu, Xiangyu

Tabla de Contenidos: “… an adaptive Perp-Neg algorithm that can dynamically adjust its concept negation scales according…”
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AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans por Perauer, Cedric, Heidrich, Laurenz Adrian, Zhang, Haifan, Nießner, Matthias, Kornilova, Anastasiia, Artemov, Alexey

Tabla de Contenidos: “… unsupervised pseudo-labels; and (2) a self-training algorithm for instance segmentation to fit robust, accurate…”
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Magnetars as Powering Sources of Gamma-Ray Burst Associated Supernovae, and Unsupervised Clustering of Cosmic Explosions por Kumar, Amit, Sharma, Kaushal, Vinkó, Jozsef, Steeghs, Danny, Gompertz, Benjamin, Lyman, Joseph, Dastidar, Raya, Singh, Avinash, Ackley, Kendall, Pursiainen, Miika

Tabla de Contenidos: “…. The bolometric light curves of all 15 SNe in our sample are well-regenerated utilising a $χ^2-$minimisation code…”
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Euclid preparation. Sensitivity to neutrino parameters por Euclid Collaboration, Archidiacono, M., Lesgourgues, J., Casas, S., Pamuk, S., Schöneberg, N., Sakr, Z., Parimbelli, G., Schneider, A., Peters, F. Hervas, Pace, F., Sabarish, V. M., Costanzi, M., Camera, S., Carbone, C., Clesse, S., Frusciante, N., Fumagalli, A., Monaco, P., Scott, D., Viel, M., Amara, A., Andreon, S., Auricchio, N., Baldi, M., Bardelli, S., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Capobianco, V., Cardone, V. F., Carretero, J., Castellano, M., Cavuoti, S., Cimatti, A., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Courbin, F., Courtois, H. M., Da Silva, A., Degaudenzi, H., Douspis, M., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Ealet, A., Farina, M., Farrens, S., Ferriol, S., Frailis, M., Franceschi, E., Galeotta, S., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Guzzo, L., Haugan, S. V. H., Hoekstra, H., Hormuth, F., Hornstrup, A., Jahnke, K., Joachimi, B., Keihänen, E., Kermiche, S., Kiessling, A., Kilbinger, M., Kitching, T., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lindholm, V., Lloro, I., Maino, D., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Martinet, N., Marulli, F., Massey, R., Maurogordato, S., McCracken, H. J., Medinaceli, E., Mei, S., Mellier, Y., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S. -M., Nightingale, J. W., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L. A., Pozzetti, L., Raison, F., Rebolo, R., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Saglia, R., Sapone, D., Sartoris, B., Scaramella, R., Schirmer, M., Schneider, P., Schrabback, T., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Sirri, G., Stanco, L., Tallada-Crespí, P., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valenziano, L., Vassallo, T., Veropalumbo, A., Wang, Y., Weller, J., Zamorani, G., Zoubian, J., Zucca, E., Biviano, A., Boucaud, A., Bozzo, E., Burigana, C., Calabrese, M., Colodro-Conde, C., Crocce, M., Fabbian, G., Graciá-Carpio, J., Mainetti, G., Martinelli, M., Mauri, N., Neissner, C., Scottez, V., Tenti, M., Wiesmann, M., Akrami, Y., Anselmi, S., Baccigalupi, C., Ballardini, M., Bernardeau, F., Bertacca, D., Borgani, S., Borsato, E., Bruton, S., Cabanac, R., Cappi, A., Carvalho, C. S., Castignani, G., Castro, T., Cañas-Herrera, G., Chambers, K. C., Contarini, S., Cooray, A. R., Coupon, J., Davini, S., de la Torre, S., De Lucia, G., Desprez, G., Di Domizio, S., Díaz-Sánchez, A., Vigo, J. A. Escartin, Escoffier, S., Ferreira, P. G., Ferrero, I., Finelli, F., Gabarra, L., Ganga, K., García-Bellido, J., Gaztanaga, E., Giacomini, F., Gozaliasl, G., Gregorio, A., Hall, A., Hildebrandt, H., Ilić, S., Kajava, J. J. E., Kansal, V., Karagiannis, D., Kirkpatrick, C. C., Legrand, L., Loureiro, A., Macias-Perez, J., Maggio, G., Magliocchetti, M., Mannucci, F., Maoli, R., Martins, C. J. A. P., Matthew, S., Maurin, L., Metcalf, R. B., Migliaccio, M., Morgante, G., Nadathur, S., Walton, Nicholas A., Patrizii, L., Pezzotta, A., Pöntinen, M., Popa, V., Porciani, C., Potter, D., Reimberg, P., Risso, I., Rocci, P. -F., Sahlén, M., Sánchez, A. G., Sefusatti, E., Sereno, M., Simon, P., Mancini, A. Spurio, Steinwagner, J., Testera, G., Tewes, M., Teyssier, R., Toft, S., Tosi, S., Troja, A., Tucci, M., Valieri, C., Valiviita, J., Vergani, D., Verza, G., Vielzeuf, P.

Tabla de Contenidos: “… then validate several pipelines for Fisher matrix and MCMC forecasts, using different theory codes, algorithms…”
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Highly Versatile FPGA-Implemented Cyber Coherent Ising Machine por Aonishi, Toru, Nagasawa, Tatsuya, Koizumi, Toshiyuki, Gunathilaka, Mastiyage Don Sudeera Hasaranga, Mimura, Kazushi, Okada, Masato, Kako, Satoshi, Yamamoto, Yoshihisa

Tabla de Contenidos: “… implementations of these algorithms using FPGAs have been used to rapidly find solutions to these problems on a…”
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Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh Networks por Xu, Zirui, Garimella, Sandilya Sai, Tzoumas, Vasileios

Tabla de Contenidos: “… with the network size, while state-of-the-art near-optimal submodular optimization algorithms scale cubically. We…”
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