Zobrazeno 1 - 10
of 145 234
pro vyhledávání: '"A, Clayton"'
Autor:
Mehla, Advait, Kasliwal, Mansi M., Karambelkar, Viraj, Tisserand, Patrick, Crawford, Courtney, Clayton, Geoffrey, Soon, Jamie, Bhalerao, Varun
Hydrogen-deficient Carbon (HdC) stars are a class of supergiants with anomalous chemical compositions, suggesting that they are remnants of CO-He white dwarf (WD) mergers. This class comprises two spectroscopically similar subclasses - dusty R Corona
Externí odkaz:
http://arxiv.org/abs/2412.03664
Let $T_m(N,2k)$ denote the $m$-th Hecke operator on the space $S_{2k}(\Gamma_0(N))$ of cuspidal modular forms of weight $2k$ and level $N$. In this paper, we study the non-repetition of the second coefficient of the characteristic polynomial of $T_m(
Externí odkaz:
http://arxiv.org/abs/2411.18419
Modern sequence models (e.g., Transformers, linear RNNs, etc.) emerged as dominant backbones of recent deep learning frameworks, mainly due to their efficiency, representational power, and/or ability to capture long-range dependencies. Adopting these
Externí odkaz:
http://arxiv.org/abs/2411.15671
The global output of academic publications exceeds 5 million articles per year, making it difficult for humans to keep up with even a tiny fraction of scientific output. We need methods to navigate and interpret the artifacts -- texts, graphs, charts
Externí odkaz:
http://arxiv.org/abs/2411.14569
Autor:
Conner, Clayton, Sarikhani, Ali, Volz, Theo, Vaninger, Mitchel, He, Xiaoqing, Kelley, Steven, Cook, Jacob, Sah, Avinash, Clark, John, Lucker, Hunter, Zhang, Cheng, Miceli, Paul, Hor, Yew San, Zhang, Xiaoqian, Bian, Guang
Magnetic transition-metal dichalcogenides (TMDs) have been of particular interest due to their unique magnetic properties and layered structure that can be promising for a wide range of spintronic applications. One of the most exciting compounds in t
Externí odkaz:
http://arxiv.org/abs/2411.13721
This article introduces a novel family of optimization algorithms - Anisotropic Gaussian Smoothing Gradient Descent (AGS-GD), AGS-Stochastic Gradient Descent (AGS-SGD), and AGS-Adam - that employ anisotropic Gaussian smoothing to enhance traditional
Externí odkaz:
http://arxiv.org/abs/2411.11747
The indoor environment greatly affects health and well-being; enhancing health and reducing energy use in these settings is a key research focus. With advancing Information and Communication Technology (ICT), recommendation systems and reinforcement
Externí odkaz:
http://arxiv.org/abs/2411.08734
Autor:
Fields, Clayton, Kennington, Casey
In the past several years there has been an explosion of available models for vision-language tasks. Unfortunately, the literature still leaves open a number of questions related to best practices in designing and training such models. In this paper
Externí odkaz:
http://arxiv.org/abs/2411.06657
As industrial models and designs grow increasingly complex, the demand for optimal control of large-scale dynamical systems has significantly increased. However, traditional methods for optimal control incur significant overhead as problem dimensions
Externí odkaz:
http://arxiv.org/abs/2411.01391
Implicit bias describes the phenomenon where optimization-based training algorithms, without explicit regularization, show a preference for simple estimators even when more complex estimators have equal objective values. Multiple works have developed
Externí odkaz:
http://arxiv.org/abs/2411.01350