Zobrazeno 1 - 10
of 193 864
pro vyhledávání: '"Jacob, A. P."'
Autor:
Mo, Geoffrey, De, Kishalay, Wiston, Eli, J., Nayana A., Margutti, Raffaella, Frostig, Danielle, Sollerman, Jesper, Sharma, Yashvi, Moriya, Takashi J., Burdge, Kevin B., Jencson, Jacob, Karambelkar, Viraj R., Lourie, Nathan P.
Type Ia supernovae arise from the thermonuclear explosions of white dwarfs in multiple star systems. A rare sub-class of SNe Ia exhibit signatures of interaction with circumstellar material (CSM), allowing for direct constraints on companion material
Externí odkaz:
http://arxiv.org/abs/2410.14644
Neutron star properties depend on both nuclear physics and astrophysical processes, and thus observations of neutron stars offer constraints on both large-scale astrophysics and the behavior of cold, dense matter. In this study, we use astronomical d
Externí odkaz:
http://arxiv.org/abs/2410.14597
Autor:
van Leeuwen, Florian D., Bhattacharyay, Shubhayu, Carriero, Alex, Moyer, Ethan Jacob, Moberg, Richard
Patients with traumatic brain injury (TBI) often experience pathological increases in intracranial pressure (ICP), leading to intracranial hypertension (tIH), a common and serious complication. Early warning of an impending rise in ICP could potentia
Externí odkaz:
http://arxiv.org/abs/2410.14333
Pair transfer is a unique tool to study pairing correlations in nuclei. Neutron-proton pairing is investigated in the N=Z nuclei of the f-shell, through the reaction (p,3He) in inverse kinematics, that allows to populate at the same time the lowest J
Externí odkaz:
http://arxiv.org/abs/2410.14314
A prominent self-supervised learning paradigm is to model the representations as clusters, or more generally as a mixture model. Learning to map the data samples to compact representations and fitting the mixture model simultaneously leads to the rep
Externí odkaz:
http://arxiv.org/abs/2410.14060
Analysis of pre-explosion imaging has confirmed red supergiants (RSGs) as the progenitors to Type II-P supernovae (SNe). However, extracting the RSG's luminosity requires assumptions regarding the star's temperature or spectral type and the correspon
Externí odkaz:
http://arxiv.org/abs/2410.14027
Consider a setting with multiple units (e.g., individuals, cohorts, geographic locations) and outcomes (e.g., treatments, times, items), where the goal is to learn a multivariate distribution for each unit-outcome entry, such as the distribution of a
Externí odkaz:
http://arxiv.org/abs/2410.13381
Autor:
Wu, Gabriel, Hilton, Jacob
We consider the problem of low probability estimation: given a machine learning model and a formally-specified input distribution, how can we estimate the probability of a binary property of the model's output, even when that probability is too small
Externí odkaz:
http://arxiv.org/abs/2410.13211
We introduce the problem of distributional matrix completion: Given a sparsely observed matrix of empirical distributions, we seek to impute the true distributions associated with both observed and unobserved matrix entries. This is a generalization
Externí odkaz:
http://arxiv.org/abs/2410.13112
Autor:
de Cordemoy, Aymeric Jacob
This paper investigates a shape optimization problem involving the Signorini unilateral conditions in a linear elastic model, without any penalization procedure. The shape sensitivity analysis is performed using tools from convex and variational anal
Externí odkaz:
http://arxiv.org/abs/2410.12315