Risultati della ricerca - coding (algorithmics OR (algorithm OR (algorithm OR algorithm)))

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

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

Sommario: “...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 di Yang, Lei, Jin, Renren, Shi, Ling, Peng, Jianxiang, Chen, Yue, Xiong, Deyi

Sommario: “... (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 di Cho, Gunhee

Sommario: “...-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 di Abbe, Emmanuel, Sandon, Colin, Sprumont, Oscar

Sommario: “... 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 di Yang, Min, Liu, Guanjun, Zhou, Ziyuan

Sommario: “... 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 di Angelidi, Iosifina, Szyniszewski, Marcin, Pal, Arijeet

Sommario: “... 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 di Henrich, Jonathan, van Delden, Jan, Seidel, Dominik, Kneib, Thomas, Ecker, Alexander

Sommario: “... 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 di 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.

Sommario: “...-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 di Singh, Paras, Jaiswal, Vishal, Roy, Subhrajit, Tyagi, Aryan, Kumar, Gaurav, Singh, Raj Kumar

Sommario: “.... 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 di Zheng, Guiyong, Jiang, Jinqi, Feng, Chen, Shen, Shaojie, Zhou, Boyu

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

Sommario: “... 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 di Hui, Hon-Ka, Lin, Lap-Ming

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

Sommario: “... 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 di 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.

Sommario: “.... 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 di Zhou, Anqi, Liu, Yezheng, Chai, Yidong, Zhu, Hongyi, Ge, Xinyue, Jiang, Yuanchun, Wang, Meng

Sommario: “... 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 di Weinstein, Zack, Ahmad, Jalal Abu, Podolsky, Daniel, Altman, Ehud

Sommario: “... 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 di 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

Sommario: “... 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 di Petrov, Aleksandr V., Macdonald, Craig, Tonellotto, Nicola

Sommario: “... 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 di Cliff, Dave

Sommario: “... 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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