Search Results - "Foti, Nicholas J."

Quantitative patterns of stylistic influence in the evolution of literature by Hughes, James M., Foti, Nicholas J., Krakauer, David C., Rockmore, Daniel N.

“…Literature is a form of expression whose temporal structure, both in content and style, provides a historical record of the evolution of culture. In this work…”
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Nonparametric sparsification of complex multiscale networks by Foti, Nicholas J, Hughes, James M, Rockmore, Daniel N

“…Many real-world networks tend to be very dense. Particular examples of interest arise in the construction of networks that represent pairwise similarities…”
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It’s complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US by Jewell, Sean, Futoma, Joseph, Hannah, Lauren, Miller, Andrew C., Foti, Nicholas J., Fox, Emily B.

“…Restricting in-person interactions is an important technique for limiting the spread of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Although…”
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A Survey of Non-Exchangeable Priors for Bayesian Nonparametric Models by Foti, Nicholas J., Williamson, Sinead A.

“…Dependent nonparametric processes extend distributions over measures, such as the Dirichlet process and the beta process, to give distributions over…”
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Statistical model-based approaches for functional connectivity analysis of neuroimaging data by Foti, Nicholas J, Fox, Emily B

“…•Frames the literature on functional connectivity in terms of statistical models.•Differentiates between directed versus undirected and static versus…”
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The cultural evolution of national constitutions by Rockmore, Daniel N., Fang, Chen, Foti, Nicholas J., Ginsburg, Tom, Krakauer, David C.

“…We explore how ideas from infectious disease and genetics can be used to uncover patterns of cultural inheritance and innovation in a corpus of 591 national…”
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Statistical Deconvolution for Inference of Infection Time Series by Miller, Andrew C., Hannah, Lauren A., Futoma, Joseph, Foti, Nicholas J., Fox, Emily B., D’Amour, Alexander, Sandler, Mark, Saurous, Rif A., Lewnard, Joseph A.

“…Accurate measurement of daily infection incidence is crucial to epidemic response. However, delays in symptom onset, testing, and reporting obscure the…”
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Stability of the World Trade Web over time – An extinction analysis by Foti, Nicholas J., Pauls, Scott, Rockmore, Daniel N.

“…The World Trade Web (WTW) is a weighted network whose nodes correspond to countries while edge weights reflecting the value of imports and/or exports between…”
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Comment: Nonparametric Bayes Modeling of Populations of Networks by Foti, Nicholas J., Fox, Emily B.

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Breiman's Two Cultures: You Don't Have to Choose Sides by Miller, Andrew C, Foti, Nicholas J, Fox, Emily B

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Statistical Deconvolution for Inference of Infection Time Series by Miller, Andrew C., Hannah, Lauren A., Futoma, Joseph, Foti, Nicholas J., Fox, Emily B., D’Amour, Alexander, Sandler, Mark, Saurous, Rif A., Lewnard, Joseph A.

“…Accurate measurement of daily infection incidence is crucial to epidemic response. However, delays in symptom onset, testing, and reporting obscure the…”
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Bayesian nonparametric methods for non-exchangeable data by Foti, Nicholas J

“…Bayesian nonparametric methods have become increasingly popular in machine learning for their ability to allow the data to determine model complexity. In…”
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Breiman's two cultures: You don't have to choose sides by Miller, Andrew C, Foti, Nicholas J, Fox, Emily B

“…Breiman's classic paper casts data analysis as a choice between two cultures: data modelers and algorithmic modelers. Stated broadly, data modelers use simple,…”
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Learning Insulin-Glucose Dynamics in the Wild by Miller, Andrew C, Foti, Nicholas J, Fox, Emily

“…We develop a new model of insulin-glucose dynamics for forecasting blood glucose in type 1 diabetics. We augment an existing biomedical model by introducing…”
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Adaptively Truncating Backpropagation Through Time to Control Gradient Bias by Aicher, Christopher, Foti, Nicholas J, Fox, Emily B

“…Truncated backpropagation through time (TBPTT) is a popular method for learning in recurrent neural networks (RNNs) that saves computation and memory at the…”
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Disentangled VAE Representations for Multi-Aspect and Missing Data by Ainsworth, Samuel K, Foti, Nicholas J, Fox, Emily B

“…Many problems in machine learning and related application areas are fundamentally variants of conditional modeling and sampling across multi-aspect data,…”
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Stochastic Gradient MCMC Methods for Hidden Markov Models by Ma, Yi-An, Foti, Nicholas J, Fox, Emily B

“…Stochastic gradient MCMC (SG-MCMC) algorithms have proven useful in scaling Bayesian inference to large datasets under an assumption of i.i.d data. We instead…”
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Stochastic Gradient MCMC for State Space Models by Aicher, Christopher, Ma, Yi-An, Foti, Nicholas J, Fox, Emily B

“…State space models (SSMs) are a flexible approach to modeling complex time series. However, inference in SSMs is often computationally prohibitive for long…”
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A survey of non-exchangeable priors for Bayesian nonparametric models by Foti, Nicholas J, Williamson, Sinead

“…Dependent nonparametric processes extend distributions over measures, such as the Dirichlet process and the beta process, to give distributions over…”
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An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery by Tank, Alex, Cover, Ian, Foti, Nicholas J, Shojaie, Ali, Fox, Emily B

“…While most classical approaches to Granger causality detection repose upon linear time series assumptions, many interactions in neuroscience and economics…”
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