Zobrazeno 1 - 10
of 240 401
pro vyhledávání: '"Ford, A"'
We propose a novel framework that leverages Visual Question Answering (VQA) models to automate the evaluation of LLM-generated data visualizations. Traditional evaluation methods often rely on human judgment, which is costly and unscalable, or focus
Externí odkaz:
http://arxiv.org/abs/2409.18764
Autor:
Gupta, Arvind F., Luhn, Jacob K., Wright, Jason T., Mahadevan, Suvrath, Robertson, Paul, Krolikowski, Daniel M., Ford, Eric B., Cañas, Caleb I., Halverson, Samuel, Lin, Andrea S. J., Kanodia, Shubham, Fitzmaurice, Evan, Gilbertson, Christian, Bender, Chad F., Blake, Cullen H., Dong, Jiayin, Giovinazzi, Mark R., Logsdon, Sarah E., Monson, Andrew, Ninan, Joe P., Rajagopal, Jayadev, Roy, Arpita, Schwab, Christian, Stefánsson, Guðmundur
With close to three years of observations in hand, the NEID Earth Twin Survey (NETS) is starting to unearth new astrophysical signals for a curated sample of bright, radial velocity (RV)-quiet stars. We present the discovery of the first NETS exoplan
Externí odkaz:
http://arxiv.org/abs/2409.12315
Gentle algebras are a class of special biserial algebra whose representation theory has been thoroughly described. In this paper, we consider the infinite dimensional generalizations of gentle algebras, referred to as locally gentle algebras. We give
Externí odkaz:
http://arxiv.org/abs/2409.08333
Autor:
Ford, Bryan
How can we reason around logical paradoxes without falling into them? This paper introduces grounded deduction or GD, a Kripke-inspired approach to first-order logic and arithmetic that is neither classical nor intuitionistic, but nevertheless appear
Externí odkaz:
http://arxiv.org/abs/2409.08243
Autor:
Redish, A. David, Chastain, Henri Scott, Runge, Carlisle Ford, Sweis, Brian M., Allen, Scott E., Haldar, Antara
Current theories of decision making suggest that the neural circuits in mammalian brains (including humans) computationally combine representations of the past (memory), present (perception), and future (agentic goals) to take actions that achieve th
Externí odkaz:
http://arxiv.org/abs/2409.07373
Autor:
Ford, L. H.
This paper is a continuation of a study of the properties and applications of quantum stress tensor fluctuations. Here we treat the vacuum fluctuations of the electromagnetic energy-momentum flux operator which as been averaged in space and time. The
Externí odkaz:
http://arxiv.org/abs/2409.02855
Experimental Framework for Generating Reliable Ground Truth for Laryngeal Spatial Segmentation Tasks
Objective: The validity of objective measures derived from high-speed videoendoscopy (HSV) depends, among other factors, on the validity of spatial segmentation. Evaluation of the validity of spatial segmentation requires the existence of reliable gr
Externí odkaz:
http://arxiv.org/abs/2409.02809
Autor:
Gilbertson, Christian, Ford, Eric B., Halverson, Samuel, Fitzmaurice, Evan, Blake, Cullen H., Stefánsson, Guðmundur, Mahadevan, Suvrath, Wright, Jason T., Luhn, Jacob K., Ninan, Joe P., Robertson, Paul, Roy, Arpita, Schwab, Christian, Terrien, Ryan C.
A significant barrier to achieving the radial velocity (RV) measurement accuracy and precision required to characterize terrestrial mass exoplanets is the existence of time-variable features in the measured spectra, from both telluric absorption and
Externí odkaz:
http://arxiv.org/abs/2408.17289
We propose Segment Any Mesh (SAMesh), a novel zero-shot method for mesh part segmentation that overcomes the limitations of shape analysis-based, learning-based, and current zero-shot approaches. SAMesh operates in two phases: multimodal rendering an
Externí odkaz:
http://arxiv.org/abs/2408.13679
Autor:
Ford, Eric B., Bender, Chad F., Blake, Cullen H., Gupta, Arvind F., Kanodia, Shubham, Lin, Andrea S. J., Logsdon, Sarah E., Luhn, Jacob K., Mahadevan, Suvrath, Palumbo III, Michael L., Terrien, Ryan C., Wright, Jason T., Zhao, Jinglin, Halverson, Samuel, Hunting, Emily, Robertson, Paul, Roy, Arpita, Stefansson, Gudmundur
We present the results of Sun-as-a-star observations by the NEID Solar Telescope at WIYN Observatory, spanning January 1, 2021 through June 30, 2024. We identify 117,060 observations which are unlikely to be significantly affected by weather, hardwar
Externí odkaz:
http://arxiv.org/abs/2408.13318