Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation

Deep neural networks with alternating convolutional, max-pooling and decimation layers are widely used in state of the art architectures for computer vision. Max-pooling purposefully discards precise spatial information in order to create features that are more robust, and typically organized as lower resolution spatial feature maps. On some tasks, such as whole-image classification, max-pooling derived features are well suited; however, for tasks requiring precise localization, such as pixel level prediction and segmentation, max-pooling destroys exactly the information required to perform well. Precise localization may be preserved by shallow convnets without pooling but at the expense of robustness. Can we have our max-pooled multi-layered cake and eat it too? Several papers have proposed summation and concatenation based methods for combining upsampled coarse, abstract features with finer features to produce robust pixel level predictions. Here we introduce another model --- dubbed Recombinator Networks --- where coarse features inform finer features early in their formation such that finer features can make use of several layers of computation in deciding how to use coarse features. The model is trained once, end-to-end and performs better than summation-based architectures, reducing the error from the previous state of the art on two facial keypoint datasets, AFW and AFLW, by 30\% and beating the current state-of-the-art on 300W without using extra data. We improve performance even further by adding a denoising prediction model based on a novel convnet formulation.Comment: accepted in CVPR 201

Higher Hida theory and p-adic L-functions for GSp(4)

We use the "higher Hida theory" recently introduced by the second author to p-adically interpolate periods of non-holomorphic automorphic forms for GSp(4), contributing to coherent cohomology of Siegel threefolds in positive degrees. We apply this new method to construct p-adic L-functions associated to the degree 4 (spin) L-function of automorphic representations of GSp(4), and the degree 8 L-function of GSp(4) x GL(2).Comment: Updated with minor corrections. To appear in "Duke Math Journal" (see https://projecteuclid.org/accepted/euclid.dmj

Assessing the joint impact of DNAPL source-zone behavior and degradation products on the probabilistic characterization of human health risk

The release of industrial contaminants into the subsurface has led to a rapid degradation of groundwater resources. Contamination caused by Dense Non-Aqueous Phase Liquids (DNAPLs) is particularly severe owing to their limited solubility, slow dissolution and in many cases high toxicity. A greater insight into how the DNAPL source zone behavior and the contaminant release towards the aquifer impact human health risk is crucial for an appropriate risk management. Risk analysis is further complicated by the uncertainty in aquifer properties and contaminant conditions. This study focuses on the impact of the DNAPL release mode on the human health risk propagation along the aquifer under uncertain conditions. Contaminant concentrations released from the source zone are described using a screening approach with a set of parameters representing several scenarios of DNAPL architecture. The uncertainty in the hydraulic properties is systematically accounted for by high-resolution Monte Carlo simulations. We simulate the release and the transport of the chlorinated solvent perchloroethylene and its carcinogenic degradation products in randomly heterogeneous porous media. The human health risk posed by the chemical mixture of these contaminants is characterized by the low-order statistics and the probability density function of common risk metrics. We show that the zone of high risk (hot spot) is independent of the DNAPL mass release mode, and that the risk amplitude is mostly controlled by heterogeneities and by the source zone architecture. The risk is lower and less uncertain when the source zone is formed mostly by ganglia than by pools. We also illustrate how the source zone efficiency (intensity of the water flux crossing the source zone) affects the risk posed by an exposure to the chemical mixture. Results display that high source zone efficiencies are counter-intuitively beneficial, decreasing the risk because of a reduction in the time available for the production of the highly toxic subspecies.Peer ReviewedPostprint (author's final draft

A taxonomy of explanations in a general practitioner clinic for patients with persistent “medically unexplained” physical symptoms

MSS1 and MSS2 were supported by grants from the Chief Scientist Office of the Scottish Government (references CZG/2/412 and CZH/4/945). We are grateful to the general practitioners and patients who participated in these studies.Peer reviewedPostprin

Coaching efficacy and coaching effectiveness: examining their predictors and comparing coaches' and athletes' reports

Research on the conceptual model of coaching efficacy (Feltz, Chase, Moritz, & Sullivan, 1999) has increased dramatically over the past few years. Utilizing this model as the guiding framework, the current study examined: (a) coaching experience and sex as predictors of coaches' coaching efficacy; (b) sport experience, sex, and the match/mismatch in sex between coach and athlete as predictors of athletes' perceptions of their coach's effectiveness on the four coaching efficacy domains; and (c) whether coaches' reports of coaching efficacy and athletes' perceptions of coaching effectiveness differed. Coaches (N = 26) and their athletes (N = 291) from 8 individual and 7 team sports drawn from British university teams (N = 26) participated in the study. Coaches completed the Coaching Efficacy Scale (CES), while athletes evaluated their coach's effectiveness using an adapted version of the CES; coaches and athletes also responded to demographic questions. Results indicated that, in coaches, years of coaching experience positively predicted technique coaching efficacy, and males reported higher game strategy efficacy than females. In athletes, sport experience negatively predicted all perceived coaching effectiveness dimensions, and the mismatch in sex between athletes and their coach negatively predicted perceived motivation and character building coaching effectiveness. Finally, on average, coaches' ratings of coaching efficacy were significantly higher than their athletes' ratings of coaching effectiveness on A dimensions. The findings are discussed in terms of their implications for coaching effectiveness

The de-feminization of femininity : exploratory content analysis of gay male fashion magazines.

This thesis project is an exploratory content analysis that seeks to measure the ways in which gay male fashion magazine de-feminize their representations of feminine performing gay men. 125 images across five summer editions of Instinct Magazine, from 2010-2014, were randomly selected and were measured along the lines of race/ethnicity, fitness of clothing, build, touch, gaze, and body curvature. The research confirmed that gay male fashion magazines do in fact de-feminize their representations of femininity along these variables. The research also reflects pre-conceived ideas of representation along the boundaries of race. Using Michael Warners theory of Publics and Counterpublics as well as Judith Butler’s theory of performativity, this project seeks to illustrate the danger of de-feminizing these representations, and seeks to challenge the way in which gay male fashion magazines articulate stereotypes surrounding feminine performing gay men