Zobrazeno 1 - 10
of 241 254
pro vyhledávání: '"A, Zachary"'
Autor:
Akridge, Zachary, Bradshaw, Zachary
The problem of regularity and uniqueness are open for the supercritically dissipative surface quasi-geostrophic equations in certain classes. In this note we examine the extent to which small or large scales are necessarily active both for the temper
Externí odkaz:
http://arxiv.org/abs/2411.15040
In the Interstellar Medium (ISM), gas and dust evolve under magnetohydrodynamic (MHD) turbulence. This produces dense, non-linear structures that then seed star formation. Observationally and theoretically, turbulence is quantified by summary statist
Externí odkaz:
http://arxiv.org/abs/2412.03967
Gapped commensurate antiferromagnetic response in a strongly underdoped model cuprate superconductor
Autor:
Anderson, Zachary W., Tang, Yang, Nagarajan, Vikram, Chan, Mun K., Dorow, Chelsey J., Yu, Guichuan, Abernathy, Douglas L., Christianson, Andrew D., Mangin-Thro, Lucile, Steffens, Paul, Sterling, Tyler, Reznik, Dmitry, Bounoua, Dalila, Sidis, Yvan, Bourges, Philippe, Greven, Martin
It is a distinct possibility that spin fluctuations are the pairing interactions in a wide range of unconventional superconductors. In the case of the high-transition-temperature (high-$T_c$) cuprates, in which superconductivity emerges upon doping a
Externí odkaz:
http://arxiv.org/abs/2412.03524
Autor:
Caputo, Regina, Kierans, Carolyn, Cannady, Nicholas, Falcone, Abe, Fukazawa, Yasushi, Jadhav, Manoj, Kerr, Matthew, Kirschner, Nicholas, Kumar, Kavic, Laviron, Adrien, Leys, Richard, McEnery, Julie, Metcalfe, Jessica, Metzler, Zachary, Miller, Nathan, Mitchell, John, Parker, Lucas, Peric, Ivan, Perkins, Jeremy, Phlips, Bernard, Racusin, Judith, Sasaki, Makoto, Segal, Kenneth N., Shy, Daniel, Steinhebel, Amanda L., Striebig, Nicolas, Suda, Yusuke, Tajima, Hiroyasu, Valverde, Janeth, Violette, Daniel P., Woolf, Richard, Zoglauer, Andreas
Publikováno v:
Proceedings Volume 13093, Space Telescopes and Instrumentation 2024: Ultraviolet to Gamma Ray; 130932L (2024)
Many questions posed in the Astro2020 Decadal survey in both the New Messengers and New Physics and the Cosmic Ecosystems science themes require a gamma-ray mission with capabilities exceeding those of existing (e.g. Fermi, Swift) and planned (e.g. C
Externí odkaz:
http://arxiv.org/abs/2412.02562
Accurate segmentation of gross tumor volume (GTV) is essential for effective MRI-guided adaptive radiotherapy (MRgART) in head and neck cancer. However, manual segmentation of the GTV over the course of therapy is time-consuming and prone to interobs
Externí odkaz:
http://arxiv.org/abs/2412.00663
Multi-robot motion planning for high degree-of-freedom manipulators in shared, constrained, and narrow spaces is a complex problem and essential for many scenarios such as construction, surgery, and more. Traditional coupled and decoupled methods eit
Externí odkaz:
http://arxiv.org/abs/2412.00366
Autor:
Lian, Jiachen, Zhou, Xuanru, Ezzes, Zoe, Vonk, Jet, Morin, Brittany, Baquirin, David, Mille, Zachary, Tempini, Maria Luisa Gorno, Anumanchipalli, Gopala Krishna
Speech is a hierarchical collection of text, prosody, emotions, dysfluencies, etc. Automatic transcription of speech that goes beyond text (words) is an underexplored problem. We focus on transcribing speech along with non-fluencies (dysfluencies). T
Externí odkaz:
http://arxiv.org/abs/2412.00265
Prediction-based (PB) inference is increasingly used in applications where the outcome of interest is difficult to obtain, but its predictors are readily available. Unlike traditional inference, PB inference performs statistical inference using a par
Externí odkaz:
http://arxiv.org/abs/2411.19908
Improving the performance of motion planning algorithms for high-degree-of-freedom robots usually requires reducing the cost or frequency of computationally expensive operations. Traditionally, and especially for asymptotically optimal sampling-based
Externí odkaz:
http://arxiv.org/abs/2411.17902
Autor:
Ahmad, Ahmad, Kermanshah, Mehdi, Leahy, Kevin, Serlin, Zachary, Siu, Ho Chit, Mann, Makai, Vasile, Cristian-Ioan, Tron, Roberto, Belta, Calin
In this paper, we tackle the challenging problem of delayed rewards in reinforcement learning (RL). While Proximal Policy Optimization (PPO) has emerged as a leading Policy Gradient method, its performance can degrade under delayed rewards. We introd
Externí odkaz:
http://arxiv.org/abs/2411.17861