Search Results - (endedededededecoding OR (coding OR Decoding)) (algorithmics OR (algorithm OR algorithm))

Polar Complexity: A New Descriptive Complexity with Applications to Source and Joint Source-Channel Coding by Yao, Xinyuanmeng, Ma, Xiao

Table of Contents: “… 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 by Peham, Tom, Steinberg, Matthew, Wille, Robert, Heußen, Sascha

Table of Contents: “… 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 by Luo, Xianzhen, Huang, Jinyang, Zheng, Wenzhen, Zhu, Qingfu, Xu, Mingzheng, Xu, Yiheng, Fan, Yuantao, Che, Wanxiang

Table of Contents: “… 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 by Li, Wenyi, Luo, Renkai, Yu, Yue, Gao, Huan-ang, Gao, Mingju, Yuan, Li, Fu, Chaoyou, Zhao, Hao

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

Table of Contents: “…, 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 by Ron-Zewi, Noga, Venkitesh, S., Wootters, Mary

Table of Contents: “… codes are list decodable with optimal list size with high probability, i.e., they attain the Singleton…”
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HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark by Li, Chaojian, Yu, Zhongzhi, Fu, Yonggan, Zhang, Yongan, Zhao, Yang, You, Haoran, Yu, Qixuan, Wang, Yue, Lin, Yingyan Celine

Table of Contents: “…-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 by Hammouamri, Ilyass, Khalfaoui-Hassani, Ismail, Masquelier, Timothée

Table of Contents: “… 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 by 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 of Contents: “… 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 by Wu, Haiwei, Chen, Yiming, Zhou, Jiantao, Li, Yuanman

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

Table of Contents: “… 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 by Perauer, Cedric, Heidrich, Laurenz Adrian, Zhang, Haifan, Nießner, Matthias, Kornilova, Anastasiia, Artemov, Alexey

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

Table of Contents: “…. 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 by 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 of Contents: “… 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 by Aonishi, Toru, Nagasawa, Tatsuya, Koizumi, Toshiyuki, Gunathilaka, Mastiyage Don Sudeera Hasaranga, Mimura, Kazushi, Okada, Masato, Kako, Satoshi, Yamamoto, Yoshihisa

Table of Contents: “… 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 by Xu, Zirui, Garimella, Sandilya Sai, Tzoumas, Vasileios

Table of Contents: “… with the network size, while state-of-the-art near-optimal submodular optimization algorithms scale cubically. We…”
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Slow Mixing of Quantum Gibbs Samplers by Gamarnik, David, Kiani, Bobak T., Zlokapa, Alexander

Table of Contents: “… algorithms mimic cooling via system-bath coupling, where the cost is determined by mixing time, akin…”
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Multispecies Animal Re-ID Using a Large Community-Curated Dataset by Otarashvili, Lasha, Subramanian, Tamilselvan, Holmberg, Jason, Levenson, J. J., Stewart, Charles V.

Table of Contents: “…Recent work has established the ecological importance of developing algorithms for identifying…”
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High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces by Shao, Shihao, Li, Yikang, Lin, Zhouchen, Cui, Qinghua

Table of Contents: “…-Crump, 2023b), through this path matrices technique. Our method avoids the RREF algorithm and maintains…”
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DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory by Chee, Jerry, Backurs, Arturs, Heck, Rainie, Zhang, Li, Kulkarni, Janardhan, Rothvoss, Thomas, Gopi, Sivakanth

Table of Contents: “…). Our proof, which is algorithmic, inspired a simple and practical rounding algorithm called \emph…”
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