We introduce Dirichlet pruning, a novel post-processing technique to transform a large neural network model into a compressed one. Dirichlet pruning is a form of structured pruning which assigns the

# Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics. (arXiv:2011.05987v1 [cs.LG])

We present a physics-constrained control-oriented deep learning method for modeling building thermal dynamics. The proposed method is based on the systematic encoding of physics-based prior knowledge into a structured recurrent

# Maximum sampled conditional likelihood for informative subsampling. (arXiv:2011.05988v1 [math.ST])

Subsampling is a computationally effective approach to extract information from massive data sets when computing resources are limited. After a subsample is taken from the full data, most available methods

# Linear Dilation-Erosion Perceptron for Binary Classification. (arXiv:2011.05989v1 [cs.LG])

In this work, we briefly revise the reduced dilation-erosion perceptron (r-DEP) models for binary classification tasks. Then, we present the so-called linear dilation-erosion perceptron (l-DEP), in which a linear transformation

# Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks. (arXiv:2011.05991v1 [stat.ML])

High-dimensional probability density estimation for inference suffers from the “curse of dimensionality”. For many physical inference problems, the full posterior distribution is unwieldy and seldom used in practice. Instead, we

# Towards NNGP-guided Neural Architecture Search. (arXiv:2011.06006v1 [cs.LG])

The predictions of wide Bayesian neural networks are described by a Gaussian process, known as the Neural Network Gaussian Process (NNGP). Analytic forms for NNGP kernels are known for many

# Understanding College Students’ Phone Call Behaviors Towards a Sustainable Mobile Health and Wellbeing Solution. (arXiv:2011.06007v1 [cs.HC])

During the transition from high school to on-campus college life, a student leaves home and starts facing enormous life changes, including meeting new people, more responsibilities, being away from family,

# Football tracking networks: Beyond event-based connectivity. (arXiv:2011.06014v1 [cs.SI])

We propose using Network Science as a complementary tool to analyze player and team behavior during a football match. Specifically, we introduce four kinds of networks based on different ways

# GANMEX: One-vs-One Attributions using GAN-based Model Explainability. (arXiv:2011.06015v1 [cs.LG])

Attribution methods have been shown as promising approaches for identifying key features that led to learned model predictions. While most existing attribution methods rely on a baseline input for performing

# Policing Chronic and Temporary Hot Spots of Violent Crime: A Controlled Field Experiment. (arXiv:2011.06019v1 [stat.AP])

Hot-spot-based policing programs aim to deter crime through increased proactive patrols at high-crime locations. While most hot spot programs target easily identified chronic hot spots, we introduce models for predicting