Suchergebnisse - coding ((Algorithmssicsics OR (algorithm OR algorithm)) OR (algorithm OR algorithm))

RTLRewriter: Methodologies for Large Models aided RTL Code Optimization von Yao, Xufeng, Wang, Yiwen, Li, Xing, Lian, Yingzhao, Chen, Ran, Chen, Lei, Yuan, Mingxuan, Xu, Hong, Yu, Bei

Inhaltsangabe: “… to identify useful optimization guides, algorithms, and code snippets that enhance the model ability …”
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The Learning Stabilizers with Noise problem von Poremba, Alexander, Quek, Yihui, Shor, Peter

Inhaltsangabe: “… Random classical codes have good error correcting properties, and yet they are notoriously hard …”
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ProBench: Benchmarking Large Language Models in Competitive Programming von Yang, Lei, Jin, Renren, Shi, Ling, Peng, Jianxiang, Chen, Yue, Xiong, Deyi

Inhaltsangabe: “… (LLMs) have entered a new phase of development. However, existing benchmarks for coding evaluation …”
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Geometry- and Topology-Informed Quantum Computing: From States to Real-Time Control with FPGA Prototypes von Cho, Gunhee

Inhaltsangabe: “… -qubit structure and entanglement as geometry and computation, including teleportation, superdense coding …”
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Tensor Reed-Muller Codes: Achieving Capacity with Quasilinear Decoding Time von Abbe, Emmanuel, Sandon, Colin, Sprumont, Oscar

Inhaltsangabe: “… polynomial-time algorithm for decoding an arbitrary tensor code $C=C_1\otimes\dotsc\otimes C_t$ from $\frac{d …”
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Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention von Yang, Min, Liu, Guanjun, Zhou, Ziyuan

Inhaltsangabe: “… learning algorithms. The code for this paper is here \url{https://github.com/yangmin32/GPMF}.  …”
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Stabilization of symmetry-protected long-range entanglement in stochastic quantum circuits von Angelidi, Iosifina, Szyniszewski, Marcin, Pal, Arijeet

Inhaltsangabe: “… protocols with finite-depth quantum circuits. The complexity of these algorithms is crucial for the resource …”
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TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds von Henrich, Jonathan, van Delden, Jan, Seidel, Dominik, Kneib, Thomas, Ecker, Alexander

Inhaltsangabe: “… clouds. Existing segmentation methods are usually based on hand-crafted algorithms, such as identifying …”
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Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy von Euclid Collaboration, Paltani, Stéphane, Coupon, J., Hartley, W. G., Alvarez-Ayllon, A., Dubath, F., Mohr, J. J., Schirmer, M., Cuillandre, J. -C., Desprez, G., Ilbert, O., Kuijken, K., Aghanim, N., Altieri, B., Amara, A., Auricchio, N., Baldi, M., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Camera, S., Capobianco, V., Carbone, C., Cardone, V. F., Carretero, J., Castander, F. J., Castellano, M., Cavuoti, S., Cledassou, R., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Courbin, F., Cropper, M., Da Silva, A., Degaudenzi, H., Dinis, J., Douspis, M., Dupac, X., Dusini, S., Farrens, S., Ferriol, S., Fosalba, P., Frailis, M., Franceschi, E., Franzetti, P., Galeotta, S., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Grazian, A., Haugan, S. V., Hoekstra, H., Hornstrup, A., Hudelot, P., Jahnke, K., Kümmel, M., Kermiche, S., Kiessling, A., Kilbinger, M., Kitching, T., Kohley, R., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Marulli, F., Massey, R., Masters, D. C., Maurogordato, S., McCracken, H. J., Medinaceli, E., Mei, S., Melchior, M., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S. -M., Nightingale, J., Padilla, C., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Polenta, G., Poncet, M., Popa, L. A., Raison, F., Rebolo, R., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Rossetti, E., Saglia, R., Sapone, D., Sartoris, B., Schneider, P., Secroun, A., Sirignano, C., Sirri, G., Skottfelt, J., Stanco, L., Starck, J. -L., Surace, C., Tallada-Crespí, P., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valentijn, E. A., Valenziano, L., Vassallo, T., Wang, Y., Zamorani, G., Zoubian, J., Andreon, S., Aussel, H., Bardelli, S., Bolzonella, M., Boucaud, A., Di Ferdinando, D., Farina, M., Graciá-Carpio, J., Lindholm, V., Maino, D., Mauri, N., Neissner, C., Scottez, V., Zucca, E., Baccigalupi, C., Ballardini, M., Biviano, A., Blanchard, A., Borgani, S., Borlaff, A. S., Burigana, C., Cabanac, R., Cappi, A., Carvalho, C. S., Casas, S., Castignani, G., Chambers, K., Cooray, A. R., Courtois, H. M., Cucciati, O., Davini, S., De Lucia, G., Dole, H., Escartin, J. A., Escoffier, S., Finelli, F., Fotopoulou, S., Ganga, K., George, K., Gozaliasl, G., Hildebrandt, H., Hook, I., Muñoz, A. Jimenez, Joachimi, B., Kansal, V., Keihanen, E., Kirkpatrick, C. C., Loureiro, A., Macias-Perez, J., Maggio, G., Magliocchetti, M., Maoli, R., Marcin, S., Martinelli, M., Martinet, N., Matthew, S., Maurin, L., Metcalf, R. B., Monaco, P., Morgante, G., Nadathur, S., Nucita, A. A., Patrizii, L., Pollack, J. E., Popa, V., Porciani, C., Potter, D., Pourtsidou, A., Pozzetti, L., Pöntinen, M., Reimberg, P., Sánchez, A. G., Sakr, Z., Sefusatti, E., Sereno, M., Mancini, A. Spurio, Stadel, J., Steinwagner, J., Teyssier, R., Valieri, C., Valiviita, J., van Mierlo, S. E., Veropalumbo, A., Viel, M., Weaver, J. R.

Inhaltsangabe: “… -fitting. We verified that our algorithm, implemented in the new photo-z code Phosphoros, can effectively …”
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Quantum-Based Salp Swarm Algorithm Driven Design Optimization of Savonius Wind Turbine-Cylindrical Deflector System von Singh, Paras, Jaiswal, Vishal, Roy, Subhrajit, Tyagi, Aryan, Kumar, Gaurav, Singh, Raj Kumar

Inhaltsangabe: “… . An in-house code for the Quantum-based Salp Swarm Optimization (QSSO) algorithm was then employed to obtain …”
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MASSTAR: A Multi-Modal and Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completion von Zheng, Guiyong, Jiang, Jinqi, Feng, Chen, Shen, Shaojie, Zhou, Boyu

Inhaltsangabe: “… including rendered RGB images, descriptive texts, depth images, etc, to enhance algorithm performance …”
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Agentic AI: The Era of Semantic Decoding von Peyrard, Maxime, Josifoski, Martin, West, Robert

Inhaltsangabe: “… semantic processors, including humans and tools, such as search engines or code executors. Collectively …”
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Revisiting the apparent horizon finding problem with multigrid methods von Hui, Hon-Ka, Lin, Lap-Ming

Inhaltsangabe: “… revisit the apparent horizon finding problem in numerical relativity using multigrid-based algorithms. We …”
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Flips in colorful triangulations von Acharya, Rohan, Mütze, Torsten, Verciani, Francesco

Inhaltsangabe: “… and algorithmic construction of a tree rotation Gray code for listing all $n$-vertex $k$-ary trees that runs …”
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Meent: Differentiable Electromagnetic Simulator for Machine Learning von Kim, Yongha, Jung, Anthony W., Kim, Sanmun, Octavian, Kevin, Heo, Doyoung, Park, Chaejin, Shin, Jeongmin, Nam, Sunghyun, Park, Chanhyung, Park, Juho, Han, Sangjun, Lee, Jinmyoung, Kim, Seolho, Jang, Min Seok, Park, Chan Y.

Inhaltsangabe: “… . Traditional algorithms for such tasks require iteratively refining parameters through simulations, which often …”
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A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning von Zhou, Anqi, Liu, Yezheng, Chai, Yidong, Zhu, Hongyi, Ge, Xinyue, Jiang, Yuanchun, Wang, Meng

Inhaltsangabe: “… novel WGME algorithm. Our code is available at https://github.com/brick-brick/WPCRAM.  …”
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Computational Phase Transitions in Two-Dimensional Antiferromagnetic Melting von Weinstein, Zack, Ahmad, Jalal Abu, Podolsky, Daniel, Altman, Ehud

Inhaltsangabe: “… in the optimal decoding of quantum error-correcting codes and in the scalable detection of measurement-induced …”
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D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning von Rafailov, Rafael, Hatch, Kyle, Singh, Anikait, Smith, Laura, Kumar, Aviral, Kostrikov, Ilya, Hansen-Estruch, Philippe, Kolev, Victor, Ball, Philip, Wu, Jiajun, Finn, Chelsea, Levine, Sergey

Inhaltsangabe: “… benchmark will facilitate further progress on both offline RL and fine-tuning algorithms. Website with code …”
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Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items von Petrov, Aleksandr V., Macdonald, Craig, Tonellotto, Nicola

Inhaltsangabe: “… improvements over the baseline Transformer-based models. Upon analysing RecJPQ's scoring algorithm, we find …”
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Never Mind The No-Ops: Faster and Less Volatile Simulation Modelling of Co-Evolutionary Species Interactions via Spatial Cyclic Games von Cliff, Dave

Inhaltsangabe: “… of the core ES algorithm is a key concern. In this paper I demonstrate that the de facto standard "Original ES …”
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