Zobrazeno 1 - 10
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pro vyhledávání: '"P. Yeh"'
Autor:
Yeh, Yen-Tung, Chen, Yu-Hua, Cheng, Yuan-Chiao, Wu, Jui-Te, Fu, Jun-Jie, Yeh, Yi-Fan, Yang, Yi-Hsuan
Neural network models for guitar amplifier emulation, while being effective, often demand high computational cost and lack interpretability. Drawing ideas from physical amplifier design, this paper aims to address these issues with a new differentiab
Externí odkaz:
http://arxiv.org/abs/2408.11405
Detecting logical fallacies in texts can help users spot argument flaws, but automating this detection is not easy. Manually annotating fallacies in large-scale, real-world text data to create datasets for developing and validating detection models i
Externí odkaz:
http://arxiv.org/abs/2410.03457
Understanding and controlling the photoexcited quasiparticle (QP) dynamics in monolayer transition metal dichalcogenides lays the foundation for exploring the strongly interacting, non-equilibrium 2D quasiparticle and polaritonic states in these quan
Externí odkaz:
http://arxiv.org/abs/2410.02047
Most alignment research today focuses on designing new learning algorithms using datasets like Anthropic-HH, assuming human feedback data is inherently reliable. However, little attention has been given to the qualitative unreliability of human feedb
Externí odkaz:
http://arxiv.org/abs/2410.01957
Data augmentation is crucial to make machine learning models more robust and safe. However, augmenting data can be challenging as it requires generating diverse data points to rigorously evaluate model behavior on edge cases and mitigate potential ha
Externí odkaz:
http://arxiv.org/abs/2410.01088
Subsampling layers play a crucial role in deep nets by discarding a portion of an activation map to reduce its spatial dimensions. This encourages the deep net to learn higher-level representations. Contrary to this motivation, we hypothesize that th
Externí odkaz:
http://arxiv.org/abs/2410.01083
Autor:
Yeh, Chun-Hsiao, Wang, Jiayun, Graham, Andrew D., Liu, Andrea J., Tan, Bo, Chen, Yubei, Ma, Yi, Lin, Meng C.
Accurate diagnosis of ocular surface diseases is critical in optometry and ophthalmology, which hinge on integrating clinical data sources (e.g., meibography imaging and clinical metadata). Traditional human assessments lack precision in quantifying
Externí odkaz:
http://arxiv.org/abs/2410.00292
Autor:
Brinkman, Casey L., Weiss, Lauren M., Huber, Daniel, Lee, Rena A., Kolecki, Jared, Tenn, Gwyneth, Zhang, Jingwen, Narayanan, Suchitra, Polanski, Alex S., Dai, Fei, Bean, Jacob L., Beard, Corey, Brady, Madison, Brodheim, Max, Brown, Matt, Deich, William, Edelstein, Jerry, Fulton, Benjamin J., Giacalone, Steven, Gibson, Steven R., Gilbert, Gregory J., Halverson, Samuel, Handley, Luke, Hill, Grant M., Holcomb, Rae, Holden, Bradford, Householder, Aaron, Howard, Andrew W., Isaacson, Howard, Kaye, Stephen, Laher, Russ R., Lanclos, Kyle, Ong, J. M. Joel, Payne, Joel, Petigura, Eric A., Pidhorodetska, Daria, Poppett, Claire, Roy, Arpita, Rubenzahl, Ryan, Saunders, Nicholas, Schwab, Christian, Seifahrt, Andreas, Shaum, Abby P., Sirk, Martin M., Smith, Chris, Smith, Roger, Stefánsson, Guðmundur, Stürmer, Julian, Thorne, Jim, Turtelboom, Emma V., Tyler, Dakotah, Valliant, John, Van Zandt, Judah, Walawender, Josh, Yee, Samuel W., Yeh, Sherry, Zink, Jon
Hundreds of exoplanets between 1-1.8 times the size of the Earth have been discovered on close in orbits. However, these planets show such a diversity in densities that some appear to be made entirely of iron, while others appear to host gaseous enve
Externí odkaz:
http://arxiv.org/abs/2410.00213
Machine learning can significantly improve performance for decision-making under uncertainty in a wide range of domains. However, ensuring robustness guarantees requires well-calibrated uncertainty estimates, which can be difficult to achieve in high
Externí odkaz:
http://arxiv.org/abs/2409.20534
Autor:
Zhu, Rong, Gong, Xuezhen, Li, Wenxun, Zhou, Ghuobin, Fan, Weitong, Liu, Danqing, Ma, Chunzhao, Xu, Jie, Guo, Changlei, Yeh, Hsien-Chi
Laser feedback interferometry (LFI) has a wide range of applications such as displacement, distance and velocity measurements. LFI has been realized in many types of lasers but has never been reported in non-planar ring oscillators (NPRO) to the best
Externí odkaz:
http://arxiv.org/abs/2409.19870