Risultati della ricerca - coding (algorithm OR Algorithmsssic)

Threading Inputs to Outputs (TITO) di Robledo Delgado, Vanessa, Vergara, Humberto

Sommario: “...="auto"><strong>3. Run the set up code</strong> This step might take few minutes.</p&gt...”
Testo

Space-bounded quantum state testing via space-efficient quantum singular value transformation di Gall, François Le, Liu, Yupan, Wang, Qisheng

Sommario: “... states $ρ_0$ and $ρ_1$, respectively, with access to their ``source code''. Our goal is to decide whether...”
Testo

Generating Image Adversarial Examples by Embedding Digital Watermarks di Xiang, Yuexin, Li, Tiantian, Ren, Wei, Zhu, Tianqing, Choo, Kim-Kwang Raymond

Sommario: “... the improved discrete wavelet transform (DWT) based Patchwork watermarking algorithm with a set of valid...”
Testo

DNA: Differentiable Network-Accelerator Co-Search di Zhang, Yongan, Fu, Yonggan, Jiang, Weiwen, Li, Chaojian, You, Haoran, Li, Meng, Chandra, Vikas, Lin, Yingyan Celine

Sommario: “... DNN accelerators and compatible with DNN frameworks such as PyTorch to enable algorithmic exploration...”
Testo

AutoGL: A Library for Automated Graph Learning di Zhang, Ziwei, Qin, Yijian, Zhang, Zeyang, Guan, Chaoyu, Cai, Jie, Chang, Heng, Jiang, Jiyan, Li, Haoyang, Sun, Zixin, Xie, Beini, Yao, Yang, Zhang, Yipeng, Wang, Xin, Zhu, Wenwu

Sommario: “... on graphs. However, manually designing the optimal machine learning algorithms for different graph datasets...”
Testo

Detection of the Permanent Strain Offset Component of Gravitational-Wave Memory in Black Hole Mergers di Scargle, Jeffrey D., Cao, Zhoujian, Zhao, Zhi-Chao

Sommario: “... be viewed with reservation. Appendices contain MatLab code for various operations, including an algorithm...”
Testo

Frequency Cam: Imaging Periodic Signals in Real-Time di Pfrommer, Bernd

Sommario: “... event camera algorithm for detecting the fundamental frequency at which image pixels flicker...”
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PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization di Duan, Qiqi, Zhou, Guochen, Shao, Chang, Wang, Zhuowei, Feng, Mingyang, Huang, Yuwei, Tan, Yajing, Yang, Yijun, Zhao, Qi, Shi, Yuhui

Sommario: “... optimization (BBO). As population-based methods (e.g., evolutionary algorithms, swarm intelligence, and pattern...”
Testo

Retrosynthetic Planning with Dual Value Networks di Liu, Guoqing, Xue, Di, Xie, Shufang, Xia, Yingce, Tripp, Austin, Maziarz, Krzysztof, Segler, Marwin, Qin, Tao, Zhang, Zongzhang, Liu, Tie-Yan

Sommario: “... novel online training algorithm, called Planning with Dual Value Networks (PDVN), which alternates...”
Testo

Encoding a magic state with beyond break-even fidelity di Gupta, Riddhi S., Sundaresan, Neereja, Alexander, Thomas, Wood, Christopher J., Merkel, Seth T., Healy, Michael B., Hillenbrand, Marius, Jochym-O'Connor, Tomas, Wootton, James R., Yoder, Theodore J., Cross, Andrew W., Takita, Maika, Brown, Benjamin J.

Sommario: “...To run large-scale algorithms on a quantum computer, error-correcting codes must be able to perform...”
Testo

DENTEX: Dental Enumeration and Tooth Pathosis Detection Benchmark for Panoramic X-ray di Hamamci, Ibrahim Ethem, Er, Sezgin, Durugol, Omer Faruk, Cakmak, Gulsade Rabia, de la Rosa, Ezequiel, Simsar, Enis, Yuksel, Atif Emre, Gultekin, Sadullah, Ozdemir, Serife Damla, Yang, Kaiyuan, Isler, Mehmet Berke, Gucez, Mustafa Salih, Mei, Shenxiao, Ma, Chenglong, Shen, Feihong, Shen, Kaidi, Wu, Huikai, Wu, Han, Mei, Lanzhuju, Cui, Zhiming, van Nistelrooij, Niels, Ghoul, Khalid El, Kempers, Steven, Xi, Tong, Vinayahalingam, Shankeeth, Choi, Kyoungyeon, Shin, Jaewon, Lyou, Eunyi, He, Lanshan, Liu, Yusheng, Wang, Lisheng, Dascalu, Tudor, Ramezanzade, Shaqayeq, Bakhshandeh, Azam, Bjørndal, Lars, Ibragimov, Bulat, Li, Hongwei Bran, Pati, Sarthak, Stadlinger, Bernd, Mehl, Albert, Ozdemir, Mehmet Kemal, Gundogar, Mustafa, Menze, Bjoern

Sommario: “.... Nevertheless, designing automated algorithms for this purpose poses significant challenges, mainly due...”
Testo

Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces di Pavse, Brahma S., Zurek, Matthew, Chen, Yudong, Xie, Qiaomin, Hanna, Josiah P.

Sommario: “... is also stable, one would expect that RL algorithms would implicitly give us stable policies. However...”
Testo

Residual Q-Learning: Offline and Online Policy Customization without Value di Li, Chenran, Tang, Chen, Nishimura, Haruki, Mercat, Jean, Tomizuka, Masayoshi, Zhan, Wei

Sommario: “... reward or value function of the prior policy. We derive a family of residual Q-learning algorithms...”
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HIQL: Offline Goal-Conditioned RL with Latent States as Actions di Park, Seohong, Ghosh, Dibya, Eysenbach, Benjamin, Levine, Sergey

Sommario: “... effective algorithms for goal-conditioned RL that can learn directly from diverse offline data...”
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Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision di Wang, Jin, Hu, Yu, Xiang, Lirong, Morota, Gota, Brooks, Samantha A., Wickens, Carissa L., Miller-Cushon, Emily K., Yu, Haipeng

Sommario: “... machine learning and deep learning algorithms, has provided a valuable opportunity to improve livestock...”
Testo

Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling di Klatzer, Teresa, Dobson, Paul, Altmann, Yoann, Pereyra, Marcelo, Sanz-Serna, Jesús María, Zygalakis, Konstantinos C.

Sommario: “... interpretations. For models that are smooth or regularised by Moreau-Yosida smoothing, the algorithm is equivalent...”
Testo

Stacked Intelligent Metasurfaces for Multiuser Downlink Beamforming in the Wave Domain di An, Jiancheng, Di Renzo, Marco, Debbah, Mérouane, Poor, H. Vincent, Yuen, Chau

Sommario: “... algorithm for solving the formulated joint optimization problem and elaborate on the potential benefits...”
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Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own di Ye, Weirui, Zhang, Yunsheng, Weng, Haoyang, Gu, Xianfan, Wang, Shengjie, Zhang, Tong, Wang, Mengchen, Abbeel, Pieter, Gao, Yang

Sommario: “..., it is challenging to apply the RL algorithms directly in the real world. For one thing, RL is data-intensive...”
Testo

Sliding Window Codes: Near-Optimality and Q-Learning for Zero-Delay Coding di Cregg, Liam, Alajaji, Fady, Yuksel, Serdar

Sommario: “...We study the problem of zero-delay coding for the transmission of a Markov source over a noisy...”
Testo

Particle initialization effects on Lyman-$α$ forest statistics in cosmological SPH simulations di Khan, Nabendu Kumar, Kulkarni, Girish, Bolton, James S., Haehnelt, Martin G., Iršič, Vid, Puchwein, Ewald, Asthana, Shikhar

Sommario: “... codes and their variations, we also study the impact of a variety of other assumptions and algorithmic...”
Testo