Publications (27)
Contrastive linear regression
Boyang Zhang, Sarah Nyquist, Andrew Jones +2
Contrastive dimension reduction methods have been developed for case-control study data to identify variation that is enriched in the foreground (case) data X relative to the backg…
Enabling tomorrow's planetary defence and space resource economy: Autonomous fleet-based asteroid rendezvous missions
Stefania Soldini, Paul A. Abell, Daniel J. Scheeres +8
Asteroids preserve the solar system's earliest history and pose real threats to Earth. Strengthening the UK's capabilities to detect, track, and characterise Near-Earth Objects (NE…
The multilayer random dot product graph
Andrew Jones, Patrick Rubin-Delanchy
We present a comprehensive extension of the latent position network model known as the random dot product graph to accommodate multiple graphs -- both undirected and directed -- wh…
Mod p Base Change transfer for GL(2)
Andrew Jones, Mehmet Haluk Sengun
We discuss Base Change functoriality for mod p eigenforms for GL(2) over number fields. We carry out systematic computer experiments and collect data supporting its existence in ca…
Kernel Density Bayesian Inverse Reinforcement Learning
Aishwarya Mandyam, Didong Li, Jiayu Yao +3
Inverse reinforcement learning (IRL) methods infer an agent's reward function using demonstrations of expert behavior. A Bayesian IRL approach models a distribution over candidate…
CME Acceleration as a Probe of the Coronal Magnetic Field
James Paul Mason, Phillip C. Chamberlin, Thomas N. Woods +5
By 2050, we expect that CME models will accurately describe, and ideally predict, observed solar eruptions and the propagation of the CMEs through the corona. We describe some of t…
Contrastive latent variable modeling with application to case-control sequencing experiments
Andrew Jones, F. William Townes, Didong Li +1
High-throughput RNA-sequencing (RNA-seq) technologies are powerful tools for understanding cellular state. Often it is of interest to quantify and summarize changes in cell state t…
MinXSS-1 CubeSat On-Orbit Pointing and Power Performance: The First Flight of the Blue Canyon Technologies XACT 3-axis Attitude Determination and Control System
James Paul Mason, Matt Baumgart, Bryan Rogler +10
The Miniature X-ray Solar Spectrometer (MinXSS) is a 3 Unit (3U) CubeSat designed for a 3-month mission to study solar soft X-ray spectral irradiance. The first of the two flight m…
Spectral embedding for dynamic networks with stability guarantees
Ian Gallagher, Andrew Jones, Patrick Rubin-Delanchy
We consider the problem of embedding a dynamic network, to obtain time-evolving vector representations of each node, which can then be used to describe changes in behaviour of indi…
Neural Lumigraph Rendering
Petr Kellnhofer, Lars Jebe, Andrew Jones +3
Novel view synthesis is a challenging and ill-posed inverse rendering problem. Neural rendering techniques have recently achieved photorealistic image quality for this task. State-…
Full band Monte Carlo simulation of AlInAsSb digital alloys
Jiyuan Zheng, Sheikh Z. Ahmed, Yuan Yuan +7
Avalanche photodiodes fabricated from AlInAsSb grown as a digital alloy exhibit low excess noise. In this paper, we investigate the band structure-related mechanisms that influence…
Spectral embedding of weighted graphs
Ian Gallagher, Andrew Jones, Anna Bertiger +2
When analyzing weighted networks using spectral embedding, a judicious transformation of the edge weights may produce better results. To formalize this idea, we consider the asympt…
MinXSS-2 CubeSat mission overview: Improvements from the successful MinXSS-1 mission
James Paul Mason, Thomas N. Woods, Phillip C. Chamberlin +9
The second Miniature X-ray Solar Spectrometer (MinXSS-2) CubeSat, which begins its flight in late 2018, builds on the success of MinXSS-1, which flew from 2016-05-16 to 2017-05-06.…
EUV SpectroPhotometer (ESP) in Extreme Ultraviolet Variability Experiment (EVE): Algorithms and Calibrations
Leonid Didkovsky, Darrell Judge, Seth Wieman +2
The Extreme ultraviolet SpectroPhotometer (ESP) is one of five channels of the Extreme ultraviolet Variability Experiment (EVE) onboard the NASA Solar Dynamics Observatory (SDO). T…
Generalisation and benign over-fitting for linear regression onto random functional covariates
Andrew Jones, Nick Whiteley
We study theoretical predictive performance of ridge and ridge-less least-squares regression when covariate vectors arise from evaluating random, means-square continuous functi…
Multi-group Gaussian Processes
Didong Li, Andrew Jones, Sudipto Banerjee +1
Gaussian processes (GPs) are pervasive in functional data analysis, machine learning, and spatial statistics for modeling complex dependencies. Modern scientific data sets are typi…
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations
Aishwarya Mandyam, Andrew Jones, Jiayu Yao +2
Reinforcement learning (RL) is an effective framework for solving sequential decision-making tasks. However, applying RL methods in medical care settings is challenging in part due…
New Solar Irradiance Measurements from the Miniature X-Ray Solar Spectrometer CubeSat
Thomas N. Woods, Amir Caspi, Phillip C. Chamberlin +9
The goal of the Miniature X-ray Solar Spectrometer (MinXSS) CubeSat is to explore the energy distribution of soft X-ray (SXR) emissions from the quiescent Sun, active regions, and…
Affine Sergeev Algebra and -Analogues of the Young Symmetrizers for Projective Representations of the Symmetric Group
Andrew Jones, Maxim Nazarov
We study a -deformation for the semi-direct product of the symmetric group with the Clifford algebra on anticommuting generators. We obtain a -version of the projec…
The Adaptive Buffered Force QM/MM method in the CP2K and AMBER software packages
Letif Mones, Andrew Jones, Andreas W. Götz +5
The implementation and validation of the adaptive buffered force QM/MM method in two popular packages, CP2K and AMBER are presented. The implementations build on the existing QM/MM…
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees
Emma Ceccherini, Ian Gallagher, Andrew Jones +1
Stability for dynamic network embeddings ensures that nodes behaving the same at different times receive the same embedding, allowing comparison of nodes in the network across time…
Probabilistic Contrastive Principal Component Analysis
Didong Li, Andrew Jones, Barbara Engelhardt
Dimension reduction is useful for exploratory data analysis. In many applications, it is of interest to discover variation that is enriched in a "foreground" dataset relative to a…
Miniature X-Ray Solar Spectrometer (MinXSS) - A Science-Oriented, University 3U CubeSat
James P. Mason, Thomas N. Woods, Amir Caspi +7
The Miniature X-ray Solar Spectrometer (MinXSS) is a 3-Unit (3U) CubeSat developed at the Laboratory for Atmospheric and Space Physics (LASP) at the University of Colorado, Boulder…
XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing
Torsten Hoefler, Marcin Copik, Pete Beckman +8
HPC and Cloud have evolved independently, specializing their innovations into performance or productivity. Acceleration as a Service (XaaS) is a recipe to empower both fields with…
Modular Elliptic Curves over the Field of Twelfth Roots of Unity
Andrew Jones
In this article we perform an extensive study of the spaces of automorphic forms for GL(2) of weight two and level N, for N an ideal in the ring of integers of the quartic CM field…
Revealing Flare Energetics and Dynamics with SDO EVE Solar Extreme Ultraviolet Spectral Irradiance Observations
Thomas N. Woods, Phillip C. Chamberlin, Andrew Jones +7
NASA's Solar Dynamics Observatory (SDO) Extreme-ultraviolet Variability Experiment (EVE) has been making solar full-disk extreme ultraviolet (EUV) spectral measurements since 2010…
The Atacama Cosmology Telescope: Cosmology from Galaxy Clusters Detected via the Sunyaev-Zel'dovich Effect
Neelima Sehgal, Hy Trac, Viviana Acquaviva +66
We present constraints on cosmological parameters based on a sample of Sunyaev-Zel'dovich-selected galaxy clusters detected in a millimeter-wave survey by the Atacama Cosmology Tel…