High-Dimensional Bayesian Clustering with Variable Selection: The R Package bclust

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Elevated nitrate from human activity causes ecosystem and economic harm globally. The factors that control the spatiotemporal dynamics of riverine nitrate concentration remain difficult to describe and predict. We analyzed nitrate concentration from 4450 s ...

A simple model to study subspace clustering is the high-dimensional k -Gaussian mixture model where the cluster means are sparse vectors. Here we provide an exact asymptotic characterization of the statistically optimal reconstruction error in this model i ...

Image noise can often be accurately fitted to a Poisson-Gaussian distribution. However, estimating the distribution parameters from a noisy image only is a challenging task. Here, we study the case when paired noisy and noise-free samples are accessible. N ...

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In the early 2000s, the SADS, an extensive linguistic atlas project, surveyed more than three thousand individuals across German-speaking Switzerland on over two hundred linguistic variants, capturing the morphosyntactic variation in Swiss German. In this ...

Dynamical Systems (DS) are fundamental to the modeling and understanding time evolving phenomena, and have application in physics, biology and control. As determining an analytical description of the dynamics is often difficult, data-driven approaches are ...

We propose a stochastic conditional gradient method (CGM) for minimizing convex finitesum objectives formed as a sum of smooth and non-smooth terms. Existing CGM variants for this template either suffer from slow convergence rates, or require carefully inc ...

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Humans can rapidly estimate the statistical properties of groups of stimuli, including their average and variability. But recent studies of so-called Feature Distribution Learning (FDL) have shown that observers can quickly learn even more complex aspects ...

Chemical gas dispersion can represent a severe threat to human and animal lives, as well as to the environment. Constructing a map of the distribution of gas in a fast and reliable manner is critical to ensure accurate monitoring of at-risk facilities and ...

High-Dimensional Bayesian Clustering with Variable Selection: The R Package bclust

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Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France

Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap

PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples

Deep MinCut: Learning Node Embeddings by Detecting Communities

Discriminative clustering with representation learning with any ratio of labeled to unlabeled data

Linguistic traits as heritable units? Spatial Bayesian clustering reveals Swiss German dialect regions

Linearization and Identification of Multiple-Attractor Dynamical Systems through Laplacian Eigenmaps

Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: cosmological implications from multitracer BAO analysis with galaxies and voids

Feature distribution learning by passive exposure

Clustering and Informative Path Planning for 3D Gas Distribution Mapping: Algorithms and Performance Evaluation