Search Results - coding ((algorithmssicsics OR (algorithm OR algorithm)) OR (algorithm OR algorithm))

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

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

Table of Contents: “…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 by Yang, Lei, Jin, Renren, Shi, Ling, Peng, Jianxiang, Chen, Yue, Xiong, Deyi

Table of Contents: “… (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 by Cho, Gunhee

Table of Contents: “…-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 by Abbe, Emmanuel, Sandon, Colin, Sprumont, Oscar

Table of Contents: “… 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 by Yang, Min, Liu, Guanjun, Zhou, Ziyuan

Table of Contents: “… 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 by Angelidi, Iosifina, Szyniszewski, Marcin, Pal, Arijeet

Table of Contents: “… 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 by Henrich, Jonathan, van Delden, Jan, Seidel, Dominik, Kneib, Thomas, Ecker, Alexander

Table of Contents: “… 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 by 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.

Table of Contents: “…-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 by Singh, Paras, Jaiswal, Vishal, Roy, Subhrajit, Tyagi, Aryan, Kumar, Gaurav, Singh, Raj Kumar

Table of Contents: “…. 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 by Zheng, Guiyong, Jiang, Jinqi, Feng, Chen, Shen, Shaojie, Zhou, Boyu

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

Table of Contents: “… 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 by Hui, Hon-Ka, Lin, Lap-Ming

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

Table of Contents: “… 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 by 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.

Table of Contents: “…. 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 by Zhou, Anqi, Liu, Yezheng, Chai, Yidong, Zhu, Hongyi, Ge, Xinyue, Jiang, Yuanchun, Wang, Meng

Table of Contents: “… 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 by Weinstein, Zack, Ahmad, Jalal Abu, Podolsky, Daniel, Altman, Ehud

Table of Contents: “… 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 by 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

Table of Contents: “… 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 by Petrov, Aleksandr V., Macdonald, Craig, Tonellotto, Nicola

Table of Contents: “… 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 by Cliff, Dave

Table of Contents: “… 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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