Zobrazeno 1 - 10
of 46 692
pro vyhledávání: '"A., Zach"'
Autor:
Yang, Yifei, Lee, Seungjun, Chen, Yu-Chia, Jia, Qi, Sousa, Duarte, Odlyzko, Michael, Garcia-Barriocanal, Javier, Yu, Guichuan, Haugstad, Greg, Fan, Yihong, Huang, Yu-Han, Lyu, Deyuan, Cresswell, Zach, Low, Tony, Wang, Jian-Ping
Spin-orbit torque (SOT) can be used to efficiently manipulate the magnetic state of magnetic materials, which is an essential element for memory and logic applications. Due to symmetry constraints, only in-plane spins can be injected into the ferroma
Externí odkaz:
http://arxiv.org/abs/2411.05682
Autor:
Lee, Samuel, Wood-Doughty, Zach
Causal understanding is a fundamental goal of evidence-based medicine. When randomization is impossible, causal inference methods allow the estimation of treatment effects from retrospective analysis of observational data. However, such analyses rely
Externí odkaz:
http://arxiv.org/abs/2411.03004
Autor:
Zach, Matthias
We extend the circle of ideas from a previous paper on hypersurfaces to functions $f \colon (\mathbb C^n, 0) \to (\mathbb C^k, 0)$ with an isolated singularity in a stratified sense on an arbitrary, but fixed complex analytic germ $(X, 0)$. An extens
Externí odkaz:
http://arxiv.org/abs/2411.02682
Autor:
Price, Brandon, Adleberg, Jason, Thomas, Kaesha, Zaiman, Zach, Mansuri, Aawez, Brown-Mulry, Beatrice, Okecheukwu, Chima, Gichoya, Judy, Trivedi, Hari
The Emory Knee Radiograph (MRKR) dataset is a large, demographically diverse collection of 503,261 knee radiographs from 83,011 patients, 40% of which are African American. This dataset provides imaging data in DICOM format along with detailed clinic
Externí odkaz:
http://arxiv.org/abs/2411.00866
Autor:
Schroeder, Kayla, Wood-Doughty, Zach
Topic models allow researchers to extract latent factors from text data and use those variables in downstream statistical analyses. However, these methodologies can vary significantly due to initialization differences, randomness in sampling procedur
Externí odkaz:
http://arxiv.org/abs/2410.23186
Autor:
Huang, Yun-Jing, Hanna, Chad, Ewing, Becca, Godwin, Patrick, Gonsalves, Joshua, Magee, Ryan, Messick, Cody, Tsukada, Leo, Yarbrough, Zach, Joshi, Prathamesh, Kennington, James, Niu, Wanting, Rollins, Jameson, Shah, Urja
As gravitational-wave observations expand in scope and detection rate, the data analysis infrastructure must be modernized to accommodate rising computational demands and ensure sustainability. We present a scalable gravitational-wave search pipeline
Externí odkaz:
http://arxiv.org/abs/2410.16416
Optical super-resolution microscopy is a key technology for structural biology that optimally complements electron microscopy because of its high contrast and live-cell compatibility. MINFLUX is an emerging super-resolution technique that measures th
Externí odkaz:
http://arxiv.org/abs/2410.15902
Autor:
Marin, Zach, Ries, Jonas
MINFLUX is an emerging super-resolution technology that measures the position of single fluorophores with nanometer precision using fewer photons than any other fluorescence imaging or tracking technique. Here, we derive simple and instructive analyt
Externí odkaz:
http://arxiv.org/abs/2410.12427
Sampling-based motion planning methods, while effective in high-dimensional spaces, often suffer from inefficiencies due to irregular sampling distributions, leading to suboptimal exploration of the configuration space. In this paper, we propose an a
Externí odkaz:
http://arxiv.org/abs/2410.03909
We introduce refined variants of the Local Learning Coefficient (LLC), a measure of model complexity grounded in singular learning theory, to study the development of internal structure in transformer language models during training. By applying thes
Externí odkaz:
http://arxiv.org/abs/2410.02984