Zobrazeno 1 - 10
of 14 181
pro vyhledávání: '"Yu, Hsuan"'
Autor:
Ferguson, Kevin, Chen, Yu-hsuan, Chen, Yiming, Gillman, Andrew, Hardin, James, Kara, Levent Burak
Machine-learned surrogate models to accelerate lengthy computer simulations are becoming increasingly important as engineers look to streamline the product design cycle. In many cases, these approaches offer the ability to predict relevant quantities
Externí odkaz:
http://arxiv.org/abs/2410.06406
Autor:
Chown, Ryan, Leroy, Adam K., Sandstrom, Karin, Chastenet, Jeremy, Sutter, Jessica, Koch, Eric W., Koziol, Hannah B., Neumann, Lukas, Sun, Jiayi, Williams, Thomas G., Baron, Dalya, Anand, Gagandeep S., Barnes, Ashley T., Bazzi, Zein, Belfiore, Francesco, Bolatto, Alberto, Boquien, Mederic, Cao, Yixian, Chevance, Melanie, Colombo, Dario, Dale, Daniel A., Egorov, Oleg V., Eibensteiner, Cosima, Emsellem, Eric, Hassani, Hamid, Henshaw, Jonathan D., He, Hao, Kim, Jaeyeon, Kreckel, Kathryn, Meidt, Sharon E., Murphy, Eric J., Oakes, Elias K., Ostriker, Eve C., Pan, Hsi-An, Pathak, Debosmita, Rosolowsky, Erik, Sarbadhicary, Sumit K., Schinnerer, Eva, Teng, Yu-Hsuan
Combining Atacama Large Millimeter/sub-millimeter Array CO(2-1) mapping and JWST near- and mid-infrared imaging, we characterize the relationship between CO(2-1) and polycyclic aromatic hydrocarbon (PAH) emission at ~100 pc resolution in 66 nearby st
Externí odkaz:
http://arxiv.org/abs/2410.05397
We present nifty-ls, a software package for fast and accurate evaluation of the Lomb-Scargle periodogram. nifty-ls leverages the fact that Lomb-Scargle can be computed using a non-uniform FFT (NUFFT), which we evaluate with the Flatiron Institute NUF
Externí odkaz:
http://arxiv.org/abs/2409.08090
Autor:
Hsieh, Yu-Hsuan, Lai, Shang-Hong
To improve logical anomaly detection, some previous works have integrated segmentation techniques with conventional anomaly detection methods. Although these methods are effective, they frequently lead to unsatisfactory segmentation results and requi
Externí odkaz:
http://arxiv.org/abs/2408.15628
Autor:
Na, Neil, Lu, Yen-Cheng, Liu, Yu-Hsuan, Chen, Po-Wei, Lai, Ying-Chen, Lin, You-Ru, Lin, Chung-Chih, Shia, Tim, Cheng, Chih-Hao, Chen, Shu-Lu
Publikováno v:
Nature 627, 295 (2024)
The ability to detect single photons has led to the advancement of numerous research fields. Although various types of single-photon detector have been developed, because of two main factors - that is, (1) the need for operating at cryogenic temperat
Externí odkaz:
http://arxiv.org/abs/2407.10379
Autor:
Chang, Hsin-Yu, Chen, Pei-Yu, Chou, Tun-Hsiang, Kao, Chang-Sheng, Yu, Hsuan-Yun, Lin, Yen-Ting, Chen, Yun-Nung
This paper provides a detailed survey of synthetic data techniques. We first discuss the expected goals of using synthetic data in data augmentation, which can be divided into four parts: 1) Improving Diversity, 2) Data Balancing, 3) Addressing Domai
Externí odkaz:
http://arxiv.org/abs/2407.03672
Autor:
Eibensteiner, Cosima, Sun, Jiayi, Bigiel, Frank, Leroy, Adam K., Schinnerer, Eva, Rosolowsky, Erik, Kurapati, Sushma, Pisano, D. J., de Blok, W. J. G, Barnes, Ashley T., Thorp, Mallory, Colombo, Dario, Koch, Eric W., Chiang, I-Da, Ostriker, Eve C., Murphy, Eric J., Zabel, Nikki, Laudage, Sebstian, Maccagni, Filippo M., Healy, Julia, Sekhar, Srikrishna, Utomo, Dyas, Brok, Jakob den, Cao, Yixian, Chevance, Mélanie, Dale, Daniel A., Faesi, Christopher M., Glover, Simon C. O., He, Hao, Jeffreson, Sarah, Jiménez-Donaire, María J., Klessen, Ralf, Neumann, Justus, Pan, Hsi-An, Pathak, Debosmita, Querejeta, Miguel, Teng, Yu-Hsuan, Usero, Antonio, Williams, Thomas G.
The molecular-to-atomic gas ratio is crucial to the evolution of the interstellar medium in galaxies. We investigate the balance between the atomic ($\Sigma_{\rm HI}$) and molecular gas ($\Sigma_{\rm H2}$) surface densities in eight nearby star-formi
Externí odkaz:
http://arxiv.org/abs/2407.01716
Large language models (LLMs) have gained significant attention due to their ability to mimic human language. Identifying texts generated by LLMs is crucial for understanding their capabilities and mitigating potential consequences. This paper analyze
Externí odkaz:
http://arxiv.org/abs/2407.12815
Designing for manufacturing poses significant challenges in part due to the computation bottleneck of Computer-Aided Manufacturing (CAM) simulations. Although deep learning as an alternative offers fast inference, its performance is dependently bound
Externí odkaz:
http://arxiv.org/abs/2406.12286
Autor:
Neumann, Lukas, Bigiel, Frank, Barnes, Ashley T., Gallagher, Molly J., Leroy, Adam, Usero, Antonio, Rosolowsky, Erik, Bešlić, Ivana, Boquien, Médéric, Cao, Yixian, Chevance, Mélanie, Colombo, Dario, Dale, Daniel A., Eibensteiner, Cosima, Grasha, Kathryn, Henshaw, Jonathan D., Jiménez-Donaire, María J., Meidt, Sharon, Menon, Shyam H., Murphy, Eric J., Pan, Hsi-An, Querejeta, Miguel, Saito, Toshiki, Schinnerer, Eva, Stuber, Sophia K., Teng, Yu-Hsuan, Williams, Thomas G.
The star formation rate (SFR) is tightly connected to the amount of dense gas in molecular clouds. However, it is not fully understood how the relationship between dense molecular gas and star formation varies within galaxies and in different morphol
Externí odkaz:
http://arxiv.org/abs/2406.12025