521 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Rutgers, The State University of New JerseyUS164 papers
- Fermi National Accelerator LaboratoryUS45 papers
- California Institute of TechnologyUS44 papers
- Carnegie Mellon UniversityUS37 papers
- University of California, Santa BarbaraUS37 papers
- University of ChicagoUS37 papers
- University of Minnesota SystemUS36 papers
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES35 papers
- Unidades Centrales Científico-TécnicasES35 papers
- University of California, RiversideUS35 papers
- University of California, DavisUS34 papers
- Florida Department of StateUS33 papers
11 papers · 1 filter
A Convex Optimization Approach to High-Dimensional Sparse Quadratic Discriminant Analysis
T. Tony Cai, Linjun Zhang
In this paper, we study high-dimensional sparse Quadratic Discriminant Analysis (QDA) and aim to establish the optimal convergence rates for the classification error. Minimax lower…
Learning Everywhere: A Taxonomy for the Integration of Machine Learning and Simulations
Geoffrey Fox, Shantenu Jha
We present a taxonomy of research on Machine Learning (ML) applied to enhance simulations together with a catalog of some activities. We cover eight patterns for the link of ML to…
A Wasserstein norm for signed measures, with application to nonlocal transport equation with source term
Benedetto Piccoli, Francesco Rossi, Magali Tournus
We introduce the optimal transportation interpretation of the Kantorovich norm on thespace of signed Radon measures with finite mass, based on a generalized Wasserstein distancefor…
Preserving ON-OFF Privacy for Past and Future Requests
Fangwei Ye, Carolina Naim, Salim El Rouayheb
We study the ON-OFF privacy problem. At each time, the user is interested in the latest message of one of sources. Moreover, the user is assumed to be incentivized to turn priv…
Astro2020: Training the Future Generation of Computational Researchers
Gurtina Besla, Daniela Huppenkothen, Nicole Lloyd-Ronning +10
The current disparity in computational knowledge is a critical hindrance to the diversity and success of the field. Recommendations are outlined for policies and funding models to…
Supersoft X-ray emission from a white dwarf binary not powered by nuclear fusion
Thomas J. Maccarone, Thomas J. Nelson, Peter J. Brown +17
Supersoft X-ray sources are stellar objects which emit X-rays with temperatures of about 1 million Kelvin and luminosities well in excess of what can be produced by stellar coronae…
Secure Mobile Technologies for Proactive Critical Infrastructure Situational Awareness
Gabriel Salles-Loustau, Vidyasagar Sadhu, Dario Pompili +2
Trustworthy operation of our national critical infrastructures, such as the electricity grid, against adversarial parties and accidental failures requires constant and secure monit…
The cost-free nature of optimally tuning Tikhonov regularizers and other ordered smoothers
Pierre C Bellec, Dana Yang
We consider the problem of selecting the best estimator among a family of Tikhonov regularized estimators, or, alternatively, to select a linear combination of these regularizers t…
Semantic Graph Convolutional Networks for 3D Human Pose Regression
Long Zhao, Xi Peng, Yu Tian +2
In this paper, we study the problem of learning Graph Convolutional Networks (GCNs) for regression. Current architectures of GCNs are limited to the small receptive field of convol…
An Ultra Deep Field survey with WFIRST
Anton M. Koekemoer, R. J. Foley, D. N. Spergel +69
Studying the formation and evolution of galaxies at the earliest cosmic times, and their role in reionization, requires the deepest imaging possible. Ultra-deep surveys like the HU…
Star Formation Stochasticity Measured from the Distribution of Burst Indicators
Adam Broussard, Eric Gawiser, Kartheik Iyer +6
One of the key questions in understanding the formation and evolution of galaxies is how starbursts affect the assembly of stellar populations in galaxies over time. We define a bu…