Authors: Steve DiPaola, Liane Gabora, Graeme McCaig
arXiv
The common view that our creativity is what makes us uniquely human suggests that incorporating research on human creativity into generative deep learning techniques might be a fruitful avenue for mak...
Authors: Bo Deng
arXiv
This paper is to derive a mathematical model for neuron by imposing only a principle of symmetry that two modelers must come up with the same model when one is approaching the problem by modeling the...
Authors: Qian Guan, Brian J. Reich, Eric B. Laber, Dipankar Bandyopadhyay
arXiv
Tooth loss from periodontal disease is a major public health burden in the United States. Standard clinical practice is to recommend a dental visit every six months; however, this practice is not evid...
Authors: Nicolas Raillard, Marc Prevosto, Hélène Pineau
arXiv
Design optimization is crucial as offshore structures are exposed to deeper and harsher marine conditions. The structure behaviour is dependent on several joint environmental parameters (wind, wave, c...
Authors: Oliver M. Crook, Laurent Gatto, Paul D. W. Kirk
arXiv
The Dirichlet Process (DP) mixture model has become a popular choice for model-based clustering, largely because it allows the number of clusters to be inferred. The sequential updating and greedy sea...
Authors: Luigi Acerbi
arXiv
Many probabilistic models of interest in scientific computing and machine learning have expensive, black-box likelihoods that prevent the application of standard techniques for Bayesian inference, suc...
Authors: Ick Hoon Jin, Fang Liu, Evercita C. Eugenio, Kisung You, Suyu Liu
arXiv
The National Health and Nutrition Examination Survey (NHANES) is a major program of the National Center for Health Statistics, designed to assess the health and nutritional status of adults and childr...
Authors: Sicheng Hao, Rui Wang, Yu Zhang, Hui Zhan
arXiv
Alzheimer's disease is the most common cause of dementia. It is the fifth-leading cause of death among elderly people. With high genetic heritability (79%), finding disease causal genes is a crucial s...
Authors: Zhiqing Xu, Balgobin Nandram, Binod Manandhar
arXiv
We present a robust Bayesian method to analyze forestry data when samples are selected with probability proportional to length from a finite population of unknown size. Specifically, we use Bayesian p...
Authors: Jose M. G. Vilar
arXiv
This paper provides a description of the approach and methodology I used in winning the European Union Big Data Technologies Horizon Prize on data-driven prediction of electricity grid traffic. The me...
Authors: Syed Rahman, Kshitij Khare, George Michailidis, Carlos Martinez, Juan Carulla
arXiv
Estimating a directed acyclic graph (DAG) from observational data represents a canonical learning problem and has generated a lot of interest in recent years. Research has focused mostly on the follow...
Authors: Brian Mathias, Leona Sureth, Gesa Hartwigsen, Manuela Macedonia, Katja M. Mayer, Katharina von Kriegstein
arXiv
Despite a rise in the use of "learning by doing" pedagogical methods in praxis, little is known as to how these methods improve learning outcomes. Here we show that visual association cortex causally...
Authors: Pramod Kumbhar, Michael Hines, Jeremy Fouriaux, Aleksandr Ovcharenko, James King, Fabien Delalondre, Felix Schürmann
arXiv
The NEURON simulator has been developed over the past three decades and is widely used by neuroscientists to model the electrical activity of neuronal networks. Large network simulation projects using...
Authors: Eric F. Lock, Dipankar Bandyopadhyay
arXiv
We introduce a Bayesian nonparametric regression model for data with multiway (tensor) structure, motivated by an application to periodontal disease (PD) data. Our outcome is the number of diseased si...
Authors: Rosa Martinez-Corral, Jintao Liu, Arthur Prindle, Gurol M. Suel, Jordi Garcia-Ojalvo
arXiv
Information processing in the mammalian brain relies on a careful regulation of the membrane potential dynamics of its constituent neurons, which propagates across the neuronal tissue via electrical s...