Résultats de la recherche - coding (algorithmssics OR (algorithm OR (algorithm OR (algorithmicsics OR algorithm))))

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

Table des matières: “…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 par Liu, Hexin, Zhang, Haoyang, Zhang, Qiquan, Zhang, Xiangyu, Shi, Dongyuan, Chng, Eng Siong, Li, Haizhou

Table des matières: “… code-switching data further compounds these challenges. In this paper, we systematically analyze CS-ASR…”
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Communication-Efficient Approximate Gradient Coding par Munim, Sifat, Ramamoorthy, Aditya

Table des matières: “… 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 par Yao, Xinyuanmeng, Ma, Xiao

Table des matières: “… 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 par Peham, Tom, Steinberg, Matthew, Wille, Robert, Heußen, Sascha

Table des matières: “… 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 par Luo, Xianzhen, Huang, Jinyang, Zheng, Wenzhen, Zhu, Qingfu, Xu, Mingzheng, Xu, Yiheng, Fan, Yuantao, Che, Wanxiang

Table des matières: “… 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 par Li, Wenyi, Luo, Renkai, Yu, Yue, Gao, Huan-ang, Gao, Mingju, Yuan, Li, Fu, Chaoyou, Zhao, Hao

Table des matières: “…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 par Liu, Kun, Tsunoda, Takahiro, Xue, Sophia H., McKinney, Evan, Zhou, Zeyuan, Xu, Shifan, Schoelkopf, Robert J., Ding, Yongshan

Table des matières: “…, 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 par Ron-Zewi, Noga, Venkitesh, S., Wootters, Mary

Table des matières: “… 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 par Rengaswamy, Narayanan, Raveendran, Nithin, Raina, Ankur, Vasić, Bane

Table des matières: “…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 par Li, Chaojian, Yu, Zhongzhi, Fu, Yonggan, Zhang, Yongan, Zhao, Yang, You, Haoran, Yu, Qixuan, Wang, Yue, Lin, Yingyan Celine

Table des matières: “…-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 par Hammouamri, Ilyass, Khalfaoui-Hassani, Ismail, Masquelier, Timothée

Table des matières: “… 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 par 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.

Table des matières: “… 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 par Wu, Haiwei, Chen, Yiming, Zhou, Jiantao, Li, Yuanman

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

Table des matières: “… 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 par Perauer, Cedric, Heidrich, Laurenz Adrian, Zhang, Haifan, Nießner, Matthias, Kornilova, Anastasiia, Artemov, Alexey

Table des matières: “… 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 par Kumar, Amit, Sharma, Kaushal, Vinkó, Jozsef, Steeghs, Danny, Gompertz, Benjamin, Lyman, Joseph, Dastidar, Raya, Singh, Avinash, Ackley, Kendall, Pursiainen, Miika

Table des matières: “…. 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 par 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.

Table des matières: “… 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 par Aonishi, Toru, Nagasawa, Tatsuya, Koizumi, Toshiyuki, Gunathilaka, Mastiyage Don Sudeera Hasaranga, Mimura, Kazushi, Okada, Masato, Kako, Satoshi, Yamamoto, Yoshihisa

Table des matières: “… 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 par Xu, Zirui, Garimella, Sandilya Sai, Tzoumas, Vasileios

Table des matières: “… with the network size, while state-of-the-art near-optimal submodular optimization algorithms scale cubically. We…”
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