Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Rodriguez, Elliott"'
Data augmentation plays a key role in modern machine learning pipelines. While numerous augmentation strategies have been studied in the context of computer vision and natural language processing, less is known for other data modalities. Our work ext
Externí odkaz:
http://arxiv.org/abs/2205.09906
Probability distributions supported on the simplex enjoy a wide range of applications across statistics and machine learning. Recently, a novel family of such distributions has been discovered: the continuous categorical. This family enjoys remarkabl
Externí odkaz:
http://arxiv.org/abs/2204.13290
It is largely taken for granted that differential abundance analysis is, by default, the best first step when analyzing genomic data. We argue that this is not necessarily the case. In this article, we identify key limitations that are intrinsic to d
Externí odkaz:
http://arxiv.org/abs/2104.07266
Modern deep learning is primarily an experimental science, in which empirical advances occasionally come at the expense of probabilistic rigor. Here we focus on one such example; namely the use of the categorical cross-entropy loss to model data that
Externí odkaz:
http://arxiv.org/abs/2011.05231
Simplex-valued data appear throughout statistics and machine learning, for example in the context of transfer learning and compression of deep networks. Existing models for this class of data rely on the Dirichlet distribution or other related loss f
Externí odkaz:
http://arxiv.org/abs/2002.08563
Autor:
Rodriguez, Elliott L., Tao, Pingyang, Woolfork, Ashley G., Li, Zhao, Matsuda, Ryan, Sun, Zuchen, Hage, David S.
Publikováno v:
In Journal of Chromatography A 8 February 2021 1638
Publikováno v:
Societies, Vol 13, Iss 4, p 92 (2023)
Since the beginning of the COVID-19 pandemic, internet access has been vital to ensuring individuals can work from home, attend online school and maintain contact with loved ones. While research has already shown that inequalities exist regarding who
Externí odkaz:
https://doaj.org/article/ae2a7e69c7144500ab9e64a4f10af58b
Autor:
Rodriguez, Elliott L., Poddar, Saumen, Iftekhar, Sazia, Suh, Kyungah, Woolfork, Ashley G., Ovbude, Susan, Pekarek, Allegra, Walters, Morgan, Lott, Shae, Hage, David S.
Publikováno v:
In Journal of Chromatography B 10 November 2020 1157
Publikováno v:
In Journal of Chromatography B 1 January 2020 1136
Publikováno v:
In The Journal of Nutritional Biochemistry July 2018 57:276-286