title stringlengths 7 239 | abstract stringlengths 7 2.76k | cs int64 0 1 | phy int64 0 1 | math int64 0 1 | stat int64 0 1 | quantitative biology int64 0 1 | quantitative finance int64 0 1 |
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Discrete CMC surfaces in R^3 and discrete minimal surfaces in S^3. A discrete Lawson correspondence | The main result of this paper is a discrete Lawson correspondence between
discrete CMC surfaces in R^3 and discrete minimal surfaces in S^3. This is a
correspondence between two discrete isothermic surfaces. We show that this
correspondence is an isometry in the following sense: it preserves the metric
coefficients i... | 0 | 1 | 1 | 0 | 0 | 0 |
Network Model Selection Using Task-Focused Minimum Description Length | Networks are fundamental models for data used in practically every
application domain. In most instances, several implicit or explicit choices
about the network definition impact the translation of underlying data to a
network representation, and the subsequent question(s) about the underlying
system being represente... | 1 | 0 | 0 | 0 | 0 | 0 |
Concentration of curvature and Lipschitz invariants of holomorphic functions of two variables | By combining analytic and geometric viewpoints on the concentration of the
curvature of the Milnor fibre, we prove that Lipschitz homeomorphisms preserve
the zones of multi-scale curvature concentration as well as the gradient canyon
structure of holomorphic functions of two variables. This yields the first new
Lipsc... | 0 | 0 | 1 | 0 | 0 | 0 |
Beam tuning and bunch length measurement in the bunch compression operation at the cERL | Realization of a short bunch beam by manipulating the longitudinal phase
space distribution with a finite longitudinal dispersion following an off-crest
accelera- tion is a widely used technique. The technique was applied in a
compact test accelerator of an energy-recovery linac scheme for compressing the
bunch lengt... | 0 | 1 | 0 | 0 | 0 | 0 |
Long-Lived Ultracold Molecules with Electric and Magnetic Dipole Moments | We create fermionic dipolar $^{23}$Na$^6$Li molecules in their triplet ground
state from an ultracold mixture of $^{23}$Na and $^6$Li. Using
magneto-association across a narrow Feshbach resonance followed by a two-photon
STIRAP transfer to the triplet ground state, we produce $3\,{\times}\,10^4$
ground state molecule... | 0 | 1 | 0 | 0 | 0 | 0 |
Bilinear generalized Radon transforms in the plane | Let $\sigma$ be arc-length measure on $S^1\subset \mathbb R^2$ and $\Theta$
denote rotation by an angle $\theta \in (0, \pi]$. Define a model bilinear
generalized Radon transform, $$B_{\theta}(f,g)(x)=\int_{S^1} f(x-y)g(x-\Theta
y)\, d\sigma(y),$$ an analogue of the linear generalized Radon transforms of
Guillemin an... | 0 | 0 | 1 | 0 | 0 | 0 |
Diffusion of new products with recovering consumers | We consider the diffusion of new products in the discrete Bass-SIR model, in
which consumers who adopt the product can later "recover" and stop influencing
their peers to adopt the product. To gain insight into the effect of the social
network structure on the diffusion, we focus on two extreme cases. In the
"most-co... | 1 | 1 | 0 | 0 | 0 | 0 |
Answering Complex Questions Using Open Information Extraction | While there has been substantial progress in factoid question-answering (QA),
answering complex questions remains challenging, typically requiring both a
large body of knowledge and inference techniques. Open Information Extraction
(Open IE) provides a way to generate semi-structured knowledge for QA, but to
date suc... | 1 | 0 | 0 | 0 | 0 | 0 |
On Testing Quantum Programs | A quantum computer (QC) can solve many computational problems more
efficiently than a classic one. The field of QCs is growing: companies (such as
DWave, IBM, Google, and Microsoft) are building QC offerings. We position that
software engineers should look into defining a set of software engineering
practices that ap... | 1 | 0 | 0 | 0 | 0 | 0 |
Degree weighted recurrence networks for the analysis of time series data | Recurrence networks are powerful tools used effectively in the nonlinear
analysis of time series data. The analysis in this context is done mostly with
unweighted and undirected complex networks constructed with specific criteria
from the time series. In this work, we propose a novel method to construct
"weighted rec... | 0 | 1 | 0 | 0 | 0 | 0 |
Parcels v0.9: prototyping a Lagrangian Ocean Analysis framework for the petascale age | As Ocean General Circulation Models (OGCMs) move into the petascale age,
where the output from global high-resolution model runs can be of the order of
hundreds of terabytes in size, tools to analyse the output of these models will
need to scale up too. Lagrangian Ocean Analysis, where virtual particles are
tracked t... | 1 | 1 | 0 | 0 | 0 | 0 |
TFLMS: Large Model Support in TensorFlow by Graph Rewriting | While accelerators such as GPUs have limited memory, deep neural networks are
becoming larger and will not fit with the memory limitation of accelerators for
training. We propose an approach to tackle this problem by rewriting the
computational graph of a neural network, in which swap-out and swap-in
operations are i... | 0 | 0 | 0 | 1 | 0 | 0 |
Machine Learning for Quantum Dynamics: Deep Learning of Excitation Energy Transfer Properties | Understanding the relationship between the structure of light-harvesting
systems and their excitation energy transfer properties is of fundamental
importance in many applications including the development of next generation
photovoltaics. Natural light harvesting in photosynthesis shows remarkable
excitation energy t... | 0 | 1 | 0 | 1 | 0 | 0 |
Multi-Player Bandits: A Trekking Approach | We study stochastic multi-armed bandits with many players. The players do not
know the number of players, cannot communicate with each other and if multiple
players select a common arm they collide and none of them receive any reward.
We consider the static scenario, where the number of players remains fixed, and
the... | 0 | 0 | 0 | 1 | 0 | 0 |
High-resolution investigation of spinal cord and spine | High-resolution non-invasive 3D study of intact spine and spinal cord
morphology on the level of complex vascular and neuronal organization is a
crucial issue for the development of treatments for the injuries and
pathologies of central nervous system (CNS). X-ray phase contrast tomography
enables high quality 3D vis... | 0 | 1 | 0 | 0 | 0 | 0 |
Bohr--Rogosinski radius for analytic functions | There are a number of articles which deal with Bohr's phenomenon whereas only
a few papers appeared in the literature on Rogosinski's radii for analytic
functions defined on the unit disk $|z|<1$. In this article, we introduce and
investigate Bohr-Rogosinski's radii for analytic functions defined for $|z|<1$.
Also, w... | 0 | 0 | 1 | 0 | 0 | 0 |
Methods to locate Saddle Points in Complex Landscapes | We present a class of simple algorithms that allows to find the reaction path
in systems with a complex potential energy landscape. The approach does not
need any knowledge on the product state and does not require the calculation of
any second derivatives. The underlying idea is to use two nearby points in
configura... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Complexity of Opinions and Online Discussions | In an increasingly polarized world, demagogues who reduce complexity down to
simple arguments based on emotion are gaining in popularity. Are opinions and
online discussions falling into demagoguery? In this work, we aim to provide
computational tools to investigate this question and, by doing so, explore the
nature ... | 1 | 0 | 0 | 1 | 0 | 0 |
Free energy distribution of the stationary O'Connell-Yor directed random polymer model | We study the semi-discrete directed polymer model introduced by O'Connell-Yor
in its stationary regime, based on our previous work on the stationary
$q$-totally asymmetric simple exclusion process ($q$-TASEP) using a two-sided
$q$-Whittaker process. We give a formula for the free energy distribution of
the polymer mo... | 0 | 1 | 1 | 0 | 0 | 0 |
Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13) | In this paper, we introduce the use of a personalized Gaussian Process model
(pGP) to predict per-patient changes in ADAS-Cog13 -- a significant predictor
of Alzheimer's Disease (AD) in the cognitive domain -- using data from each
patient's previous visits, and testing on future (held-out) data. We start by
learning ... | 0 | 0 | 0 | 1 | 0 | 0 |
Analysis and Control of a Non-Standard Hyperbolic PDE Traffic Flow Model | The paper provides results for a non-standard, hyperbolic, 1-D, nonlinear
traffic flow model on a bounded domain. The model consists of two first-order
PDEs with a dynamic boundary condition that involves the time derivative of the
velocity. The proposed model has features that are important from a
traffic-theoretic ... | 1 | 0 | 1 | 0 | 0 | 0 |
Learning Robust Representations for Computer Vision | Unsupervised learning techniques in computer vision often require learning
latent representations, such as low-dimensional linear and non-linear
subspaces. Noise and outliers in the data can frustrate these approaches by
obscuring the latent spaces.
Our main goal is deeper understanding and new development of robust
... | 1 | 0 | 0 | 1 | 0 | 0 |
Detection Estimation and Grid matching of Multiple Targets with Single Snapshot Measurements | In this work, we explore the problems of detecting the number of narrow-band,
far-field targets and estimating their corresponding directions from single
snapshot measurements. The principles of sparse signal recovery (SSR) are used
for the single snapshot detection and estimation of multiple targets. In the
SSR fram... | 0 | 0 | 0 | 1 | 0 | 0 |
Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels | The latent feature relational model (LFRM) is a generative model for
graph-structured data to learn a binary vector representation for each node in
the graph. The binary vector denotes the node's membership in one or more
communities. At its core, the LFRM miller2009nonparametric is an overlapping
stochastic blockmod... | 0 | 0 | 0 | 1 | 0 | 0 |
Towards a Science of Mind | The ancient mind/body problem continues to be one of deepest mysteries of
science and of the human spirit. Despite major advances in many fields, there
is still no plausible link between subjective experience (qualia) and its
realization in the body. This paper outlines some of the elements of a rigorous
science of m... | 1 | 0 | 0 | 0 | 1 | 0 |
Resistance distance criterion for optimal slack bus selection | We investigate the dependence of transmission losses on the choice of a slack
bus in high voltage AC transmission networks. We formulate a transmission loss
minimization problem in terms of slack variables representing the additional
power injection that each generator provides to compensate the transmission
losses. ... | 1 | 1 | 0 | 0 | 0 | 0 |
Interpolation in the Presence of Domain Inhomogeneity | Standard interpolation techniques are implicitly based on the assumption that
the signal lies on a homogeneous domain. In this letter, the proposed
interpolation method instead exploits prior information about domain
inhomogeneity, characterized by different, potentially overlapping, subdomains.
By introducing a doma... | 0 | 0 | 1 | 0 | 0 | 0 |
Lectures on the mean values of functionals -- An elementary introduction to infinite-dimensional probability | This is an elementary introduction to infinite-dimensional probability. In
the lectures, we compute the exact mean values of some functionals on C[0,1]
and L[0,1] by considering these functionals as infinite-dimensional random
variables. The results show that there exist the complete concentration of
measure phenomen... | 0 | 1 | 1 | 1 | 0 | 0 |
Synthesis of Optimal Resilient Control Strategies | Repair mechanisms are important within resilient systems to maintain the
system in an operational state after an error occurred. Usually, constraints on
the repair mechanisms are imposed, e.g., concerning the time or resources
required (such as energy consumption or other kinds of costs). For systems
modeled by Marko... | 1 | 0 | 0 | 0 | 0 | 0 |
Limits of the Kucera-Gacs coding method | Every real is computable from a Martin-Loef random real. This well known
result in algorithmic randomness was proved by Kucera and Gacs. In this survey
article we discuss various approaches to the problem of coding an arbitrary
real into a Martin-Loef random real,and also describe new results concerning
optimal metho... | 0 | 0 | 1 | 0 | 0 | 0 |
Subspace Tracking Algorithms for Millimeter Wave MIMO Channel Estimation with Hybrid Beamforming | This paper proposes the use of subspace tracking algorithms for performing
MIMO channel estimation at millimeter wave (mmWave) frequencies. Using a
subspace approach, we develop a protocol enabling the estimation of the right
(resp. left) singular vectors at the transmitter (resp. receiver) side; then,
we adapt the p... | 1 | 0 | 0 | 0 | 0 | 0 |
Thomas Precession for Dressed Particles | We consider a particle dressed with boundary gravitons in three-dimensional
Minkowski space. The existence of BMS transformations implies that the
particle's wavefunction picks up a Berry phase when subjected to changes of
reference frames that trace a closed path in the asymptotic symmetry group. We
evaluate this ph... | 0 | 1 | 1 | 0 | 0 | 0 |
Exponential random graphs behave like mixtures of stochastic block models | We study the behavior of exponential random graphs in both the sparse and the
dense regime. We show that exponential random graphs are approximate mixtures
of graphs with independent edges whose probability matrices are critical points
of an associated functional, thereby satisfying a certain matrix equation. In
the ... | 1 | 0 | 1 | 1 | 0 | 0 |
Certificate Enhanced Data-Flow Analysis | Proof-carrying-code was proposed as a solution to ensure a trust relationship
between two parties: a (heavyweight) analyzer and a (lightweight) checker. The
analyzer verifies the conformance of a given application to a specified
property and generates a certificate attesting the validity of the analysis
result. It su... | 1 | 0 | 0 | 0 | 0 | 0 |
Small cells in a Poisson hyperplane tessellation | Until now, little was known about properties of small cells in a Poisson
hyperplane tessellation. The few existing results were either heuristic or
applying only to the two dimensional case and for very specific size
functionals and directional distributions. This paper fills this gap by
providing a systematic study ... | 0 | 0 | 1 | 0 | 0 | 0 |
Privacy-Aware Guessing Efficiency | We investigate the problem of guessing a discrete random variable $Y$ under a
privacy constraint dictated by another correlated discrete random variable $X$,
where both guessing efficiency and privacy are assessed in terms of the
probability of correct guessing. We define $h(P_{XY}, \epsilon)$ as the maximum
probabil... | 1 | 0 | 1 | 1 | 0 | 0 |
Positioning services of a travel agency in social networks | In this paper the methods of forming a travel company customer base by means
of social networks are observed. These methods are made to involve web-users of
the social networks (VK.com and Facebook) for positioning of the service of the
travel agency "New Europe" on the Internet. The methods of applying the
maintenan... | 1 | 0 | 0 | 0 | 0 | 0 |
Inverse Mapping for Rainfall-Runoff Models using History Matching Approach | In this paper, we consider two rainfall-runoff computer models. The first
model is Matlab-Simulink model which simulates runoff from windrow compost pad
(located at the Bioconversion Center in Athens, GA) over a period of time based
on rainfall events. The second model is Soil Water Assessment Tool (SWAT) which
estim... | 0 | 0 | 0 | 1 | 0 | 0 |
Geometric SMOTE: Effective oversampling for imbalanced learning through a geometric extension of SMOTE | Classification of imbalanced datasets is a challenging task for standard
algorithms. Although many methods exist to address this problem in different
ways, generating artificial data for the minority class is a more general
approach compared to algorithmic modifications. SMOTE algorithm and its
variations generate sy... | 1 | 0 | 0 | 0 | 0 | 0 |
Liveness Verification and Synthesis: New Algorithms for Recursive Programs | We consider the problems of liveness verification and liveness synthesis for
recursive programs. The liveness verification problem (LVP) is to decide
whether a given omega-context-free language is contained in a given
omega-regular language. The liveness synthesis problem (LSP) is to compute a
strategy so that a give... | 1 | 0 | 0 | 0 | 0 | 0 |
A semiparametric approach for bivariate extreme exceedances | Inference over tails is performed by applying only the results of extreme
value theory. Whilst such theory is well defined and flexible enough in the
univariate case, multivariate inferential methods often require the imposition
of arbitrary constraints not fully justifed by the underlying theory. In
contrast, our ap... | 0 | 0 | 0 | 1 | 0 | 0 |
Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network | The Soil Moisture Active Passive (SMAP) mission has delivered valuable
sensing of surface soil moisture since 2015. However, it has a short time span
and irregular revisit schedule. Utilizing a state-of-the-art time-series deep
learning neural network, Long Short-Term Memory (LSTM), we created a system
that predicts ... | 0 | 0 | 0 | 1 | 0 | 0 |
Note on Green Function Formalism and Topological Invariants | It has been discovered previously that the topological order parameter could
be identified from the topological data of the Green function, namely the
(generalized) TKNN invariant in general dimensions, for both non-interacting
and interacting systems. In this note, we show that this phenomena has a clear
geometric d... | 0 | 0 | 1 | 0 | 0 | 0 |
Unsupervised Document Embedding With CNNs | We propose a new model for unsupervised document embedding. Leading existing
approaches either require complex inference or use recurrent neural networks
(RNN) that are difficult to parallelize. We take a different route and develop
a convolutional neural network (CNN) embedding model. Our CNN architecture is
fully p... | 1 | 0 | 0 | 1 | 0 | 0 |
A metric model for the functional architecture of the visual cortex | The purpose of this work is to construct a model for the functional
architecture of the primary visual cortex (V1), based on a structure of metric
measure space induced by the underlying organization of receptive profiles
(RPs) of visual cells. In order to account for the horizontal connectivity of
V1 in such a conte... | 0 | 0 | 0 | 0 | 1 | 0 |
Bayesian parameter identification in Cahn-Hilliard models for biological growth | We consider the inverse problem of parameter estimation in a diffuse
interface model for tumour growth. The model consists of a fourth-order
Cahn--Hilliard system and contains three phenomenological parameters: the
tumour proliferation rate, the nutrient consumption rate, and the chemotactic
sensitivity. We study the... | 0 | 0 | 0 | 1 | 0 | 0 |
Transport Phase Diagram and Anderson Localization in Hyperuniform Disordered Photonic Materials | Hyperuniform disordered photonic materials (HDPM) are spatially correlated
dielectric structures with unconventional optical properties. They can be
transparent to long-wavelength radiation while at the same time have isotropic
band gaps in another frequency range. This phenomenon raises fundamental
questions concern... | 0 | 1 | 0 | 0 | 0 | 0 |
Nearly Maximally Predictive Features and Their Dimensions | Scientific explanation often requires inferring maximally predictive features
from a given data set. Unfortunately, the collection of minimal maximally
predictive features for most stochastic processes is uncountably infinite. In
such cases, one compromises and instead seeks nearly maximally predictive
features. Here... | 1 | 1 | 0 | 1 | 0 | 0 |
A Survey Of Cross-lingual Word Embedding Models | Cross-lingual representations of words enable us to reason about word meaning
in multilingual contexts and are a key facilitator of cross-lingual transfer
when developing natural language processing models for low-resource languages.
In this survey, we provide a comprehensive typology of cross-lingual word
embedding ... | 1 | 0 | 0 | 0 | 0 | 0 |
Space-efficient classical and quantum algorithms for the shortest vector problem | A lattice is the integer span of some linearly independent vectors. Lattice
problems have many significant applications in coding theory and cryptographic
systems for their conjectured hardness. The Shortest Vector Problem (SVP),
which is to find the shortest non-zero vector in a lattice, is one of the
well-known pro... | 1 | 0 | 0 | 0 | 0 | 0 |
Low Power SI Class E Power Amplifier and RF Switch For Health Care | This research was to design a 2.4 GHz class E Power Amplifier (PA) for health
care, with 0.18um Semiconductor Manufacturing International Corporation CMOS
technology by using Cadence software. And also RF switch was designed at
cadence software with power Jazz 180nm SOI process. The ultimate goal for such
application... | 1 | 0 | 0 | 0 | 0 | 0 |
Improved approximation algorithm for the Dense-3-Subhypergraph Problem | The study of Dense-$3$-Subhypergraph problem was initiated in Chlamt{á}c
et al. [Approx'16]. The input is a universe $U$ and collection ${\cal S}$ of
subsets of $U$, each of size $3$, and a number $k$. The goal is to choose a set
$W$ of $k$ elements from the universe, and maximize the number of sets, $S\in
{\cal S}$ ... | 1 | 0 | 0 | 0 | 0 | 0 |
A Survey of Security Assessment Ontologies | A literature survey on ontologies concerning the Security Assessment domain
has been carried out to uncover initiatives that aim at formalizing concepts
from the Security Assessment field of research. A preliminary analysis and a
discussion on the selected works are presented. Our main contribution is an
updated lite... | 1 | 0 | 0 | 0 | 0 | 0 |
Distributed Online Learning of Event Definitions | Logic-based event recognition systems infer occurrences of events in time
using a set of event definitions in the form of first-order rules. The Event
Calculus is a temporal logic that has been used as a basis in event recognition
applications, providing among others, direct connections to machine learning,
via Induc... | 1 | 0 | 0 | 0 | 0 | 0 |
Solving Graph Isomorphism Problem for a Special case | Graph isomorphism is an important computer science problem. The problem for
the general case is unknown to be in polynomial time. The base algorithm for
the general case works in quasi-polynomial time. The solutions in polynomial
time for some special type of classes are known. In this work, we have worked
with a spe... | 1 | 0 | 0 | 0 | 0 | 0 |
Selective inference for effect modification via the lasso | Effect modification occurs when the effect of the treatment on an outcome
varies according to the level of other covariates and often has important
implications in decision making. When there are tens or hundreds of covariates,
it becomes necessary to use the observed data to select a simpler model for
effect modific... | 0 | 0 | 1 | 1 | 0 | 0 |
Is Climate Change Controversial? Modeling Controversy as Contention Within Populations | A growing body of research focuses on computationally detecting controversial
topics and understanding the stances people hold on them. Yet gaps remain in
our theoretical and practical understanding of how to define controversy, how
it manifests, and how to measure it. In this paper, we introduce a novel
measure we c... | 1 | 1 | 0 | 0 | 0 | 0 |
Defending Against Adversarial Attacks by Leveraging an Entire GAN | Recent work has shown that state-of-the-art models are highly vulnerable to
adversarial perturbations of the input. We propose cowboy, an approach to
detecting and defending against adversarial attacks by using both the
discriminator and generator of a GAN trained on the same dataset. We show that
the discriminator c... | 0 | 0 | 0 | 1 | 0 | 0 |
Spectral Graph Convolutions for Population-based Disease Prediction | Exploiting the wealth of imaging and non-imaging information for disease
prediction tasks requires models capable of representing, at the same time,
individual features as well as data associations between subjects from
potentially large populations. Graphs provide a natural framework for such
tasks, yet previous gra... | 1 | 0 | 0 | 1 | 0 | 0 |
An independence system as knot invariant | An independence system (with respect to the unknotting number) is defined for
a classical knot diagram. It is proved that the independence system is a knot
invariant for alternating knots. The exchange property for minimal unknotting
sets are also discussed. It is shown that there exists an infinite family of
knot di... | 0 | 0 | 1 | 0 | 0 | 0 |
A cavity-induced artificial gauge field in a Bose-Hubbard ladder | We consider theoretically ultracold interacting bosonic atoms confined to
quasi-one-dimensional ladder structures formed by optical lattices and coupled
to the field of an optical cavity. The atoms can collect a spatial phase
imprint during a cavity-assisted tunneling along a rung via Raman transitions
employing a ca... | 0 | 1 | 0 | 0 | 0 | 0 |
A Review of Laser-Plasma Ion Acceleration | An overview of research on laser-plasma based acceleration of ions is given.
The experimental state of the art is summarized and recent progress is
discussed. The basic acceleration processes are briefly reviewed with an
outlook on hybrid mechanisms and novel concepts. Finally, we put focus on the
development of engi... | 0 | 1 | 0 | 0 | 0 | 0 |
Minimax Optimal Estimators for Additive Scalar Functionals of Discrete Distributions | In this paper, we consider estimators for an additive functional of $\phi$,
which is defined as $\theta(P;\phi)=\sum_{i=1}^k\phi(p_i)$, from $n$ i.i.d.
random samples drawn from a discrete distribution $P=(p_1,...,p_k)$ with
alphabet size $k$. We propose a minimax optimal estimator for the estimation
problem of the a... | 1 | 0 | 1 | 1 | 0 | 0 |
Van der Waals Heterostructures Based on Allotropes of Phosphorene and MoSe2 | The van der Waals heterostructures of allotropes of phosphorene (${\alpha}$-
and $\beta-P$) with MoSe2 (H-, T-, ZT- and SO-MoSe2) are investigated in the
framework of state-of-the-art density functional theory. The semiconducting
heterostructures, $\beta$-P /H-MoSe2 and ${\alpha}$-P / H-MoSe2, forms
anti-type structu... | 0 | 1 | 0 | 0 | 0 | 0 |
On separated solutions of logistic population equation with harvesting | We provide a surprising answer to a question raised in S. Ahmad and A.C.
Lazer [2], and extend the results of that paper.
| 0 | 0 | 1 | 0 | 0 | 0 |
Nonreciprocal Electromagnetic Scattering from a Periodically Space-Time Modulated Slab and Application to a Quasisonic Isolator | Scattering of obliquely incident electromagnetic waves from periodically
space-time modulated slabs is investigated. It is shown that such structures
operate as nonreciprocal harmonic generators and spatial-frequency filters. For
oblique incidences, low-frequency harmonics are filtered out in the form of
surface wave... | 0 | 1 | 0 | 0 | 0 | 0 |
Story Cloze Ending Selection Baselines and Data Examination | This paper describes two supervised baseline systems for the Story Cloze Test
Shared Task (Mostafazadeh et al., 2016a). We first build a classifier using
features based on word embeddings and semantic similarity computation. We
further implement a neural LSTM system with different encoding strategies that
try to mode... | 1 | 0 | 0 | 0 | 0 | 0 |
Linear Quadratic Optimal Control Problems with Fixed Terminal States and Integral Quadratic Constraints | This paper is concerned with a linear quadratic (LQ, for short) optimal
control problem with fixed terminal states and integral quadratic constraints.
A Riccati equation with infinite terminal value is introduced, which is
uniquely solvable and whose solution can be approximated by the solution for a
suitable unconst... | 0 | 0 | 1 | 0 | 0 | 0 |
A new sampling density condition for shift-invariant spaces | Let $X=\{x_i:i\in\mathbb{Z}\}$, $\dots<x_{i-1}<x_i<x_{i+1}<\dots$, be a
sampling set which is separated by a constant $\gamma>0$. Under certain
conditions on $\phi$, it is proved that if there exists a positive integer
$\nu$ such that
$$\delta_\nu:=\sup\limits_{i\in\mathbb{Z}}(x_{i+\nu}-x_i)<\dfrac{\nu}{2\pi}\left(\d... | 0 | 0 | 1 | 0 | 0 | 0 |
Experimental Design via Generalized Mean Objective Cost of Uncertainty | The mean objective cost of uncertainty (MOCU) quantifies the performance cost
of using an operator that is optimal across an uncertainty class of systems as
opposed to using an operator that is optimal for a particular system.
MOCU-based experimental design selects an experiment to maximally reduce MOCU,
thereby gain... | 0 | 0 | 0 | 1 | 0 | 0 |
Parallelizing Over Artificial Neural Network Training Runs with Multigrid | Artificial neural networks are a popular and effective machine learning
technique. Great progress has been made parallelizing the expensive training
phase of an individual network, leading to highly specialized pieces of
hardware, many based on GPU-type architectures, and more concurrent algorithms
such as synthetic ... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning the Structure of Generative Models without Labeled Data | Curating labeled training data has become the primary bottleneck in machine
learning. Recent frameworks address this bottleneck with generative models to
synthesize labels at scale from weak supervision sources. The generative
model's dependency structure directly affects the quality of the estimated
labels, but sele... | 1 | 0 | 0 | 1 | 0 | 0 |
Robust Loss Functions under Label Noise for Deep Neural Networks | In many applications of classifier learning, training data suffers from label
noise. Deep networks are learned using huge training data where the problem of
noisy labels is particularly relevant. The current techniques proposed for
learning deep networks under label noise focus on modifying the network
architecture a... | 1 | 0 | 0 | 1 | 0 | 0 |
A quality model for evaluating and choosing a stream processing framework architecture | Today, we have to deal with many data (Big data) and we need to make
decisions by choosing an architectural framework to analyze these data coming
from different area. Due to this, it become problematic when we want to process
these data, and even more, when it is continuous data. When you want to process
some data, ... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Hardness of Inventory Management with Censored Demand Data | We consider a repeated newsvendor problem where the inventory manager has no
prior information about the demand, and can access only censored/sales data. In
analogy to multi-armed bandit problems, the manager needs to simultaneously
"explore" and "exploit" with her inventory decisions, in order to minimize the
cumula... | 1 | 0 | 0 | 1 | 0 | 0 |
Social Media Analysis For Organizations: Us Northeastern Public And State Libraries Case Study | Social networking sites such as Twitter have provided a great opportunity for
organizations such as public libraries to disseminate information for public
relations purposes. However, there is a need to analyze vast amounts of social
media data. This study presents a computational approach to explore the content
of t... | 1 | 0 | 0 | 1 | 0 | 0 |
Weakly tripotent rings | We study the class of rings $R$ with the property that for $x\in R$ at least
one of the elements $x$ and $1+x$ are tripotent.
| 0 | 0 | 1 | 0 | 0 | 0 |
ML for Flood Forecasting at Scale | Effective riverine flood forecasting at scale is hindered by a multitude of
factors, most notably the need to rely on human calibration in current
methodology, the limited amount of data for a specific location, and the
computational difficulty of building continent/global level models that are
sufficiently accurate.... | 1 | 0 | 0 | 1 | 0 | 0 |
Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis | We consider the frequency domain form of proper orthogonal decomposition
(POD) called spectral proper orthogonal decomposition (SPOD). Spectral POD is
derived from a space-time POD problem for statistically stationary flows and
leads to modes that each oscillate at a single frequency. This form of POD goes
back to th... | 0 | 1 | 0 | 0 | 0 | 0 |
An optimal transportation approach for assessing almost stochastic order | When stochastic dominance $F\leq_{st}G$ does not hold, we can improve
agreement to stochastic order by suitably trimming both distributions. In this
work we consider the $L_2-$Wasserstein distance, $\mathcal W_2$, to stochastic
order of these trimmed versions. Our characterization for that distance
naturally leads to... | 0 | 0 | 0 | 1 | 0 | 0 |
The Effect of Electron Lens as Landau Damping Device on Single Particle Dynamics in HL-LHC | An electron lens can serve as an effective mechanism for suppressing coherent
instabilities in high intensity storage rings through nonlinear amplitude
dependent betatron tune shift. However, the addition of a strong localized
nonlinear focusing element to the accelerator lattice may lead to undesired
effects in part... | 0 | 1 | 0 | 0 | 0 | 0 |
Search for sterile neutrinos in holographic dark energy cosmology: Reconciling Planck observation with the local measurement of the Hubble constant | We search for sterile neutrinos in the holographic dark energy cosmology by
using the latest observational data. To perform the analysis, we employ the
current cosmological observations, including the cosmic microwave background
temperature power spectrum data from the Planck mission, the baryon acoustic
oscillation ... | 0 | 1 | 0 | 0 | 0 | 0 |
Simulation of high temperature superconductors and experimental validation | In this work, we present a parallel, fully-distributed finite element
numerical framework to simulate the low-frequency electromagnetic response of
superconducting devices, which allows to efficiently exploit HPC platforms. We
select the so-called H-formulation, which uses the magnetic field as a state
variable. Nédé... | 1 | 1 | 0 | 0 | 0 | 0 |
Hardware Translation Coherence for Virtualized Systems | To improve system performance, modern operating systems (OSes) often
undertake activities that require modification of virtual-to-physical page
translation mappings. For example, the OS may migrate data between physical
frames to defragment memory and enable superpages. The OS may migrate pages of
data between hetero... | 1 | 0 | 0 | 0 | 0 | 0 |
MotifMark: Finding Regulatory Motifs in DNA Sequences | The interaction between proteins and DNA is a key driving force in a
significant number of biological processes such as transcriptional regulation,
repair, recombination, splicing, and DNA modification. The identification of
DNA-binding sites and the specificity of target proteins in binding to these
regions are two ... | 1 | 0 | 0 | 0 | 0 | 0 |
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning | This paper presents KeypointNet, an end-to-end geometric reasoning framework
to learn an optimal set of category-specific 3D keypoints, along with their
detectors. Given a single image, KeypointNet extracts 3D keypoints that are
optimized for a downstream task. We demonstrate this framework on 3D pose
estimation by p... | 0 | 0 | 0 | 1 | 0 | 0 |
Multi-State Trajectory Approach to Non-Adiabatic Dynamics: General Formalism and the Active State Trajectory Approximation | A general theoretical framework is derived for the recently developed
multi-state trajectory (MST) approach from the time dependent Schrödinger
equation, resulting in equations of motion for coupled nuclear-electronic
dynamics equivalent to Hamilton dynamics or Heisenberg equation based on a new
multistate Meyer-Mill... | 0 | 1 | 0 | 0 | 0 | 0 |
Combining Homotopy Methods and Numerical Optimal Control to Solve Motion Planning Problems | This paper presents a systematic approach for computing local solutions to
motion planning problems in non-convex environments using numerical optimal
control techniques. It extends the range of use of state-of-the-art numerical
optimal control tools to problem classes where these tools have previously not
been appli... | 0 | 0 | 1 | 0 | 0 | 0 |
High quality atomically thin PtSe2 films grown by molecular beam epitaxy | Atomically thin PtSe2 films have attracted extensive research interests for
potential applications in high-speed electronics, spintronics and
photodetectors. Obtaining high quality, single crystalline thin films with
large size is critical. Here we report the first successful layer-by-layer
growth of high quality PtS... | 0 | 1 | 0 | 0 | 0 | 0 |
NAVREN-RL: Learning to fly in real environment via end-to-end deep reinforcement learning using monocular images | We present NAVREN-RL, an approach to NAVigate an unmanned aerial vehicle in
an indoor Real ENvironment via end-to-end reinforcement learning RL. A suitable
reward function is designed keeping in mind the cost and weight constraints for
micro drone with minimum number of sensing modalities. Collection of small
number ... | 1 | 0 | 0 | 1 | 0 | 0 |
Fast, Accurate and Fully Parallelizable Digital Image Correlation | Digital image correlation (DIC) is a widely used optical metrology for
surface deformation measurements. DIC relies on nonlinear optimization method.
Thus an initial guess is quite important due to its influence on the converge
characteristics of the algorithm. In order to obtain a reliable, accurate
initial guess, a... | 0 | 1 | 0 | 0 | 0 | 0 |
Discovering the effect of nonlocal payoff calculation on the stabilty of ESS: Spatial patterns of Hawk-Dove game in metapopulations | The classical idea of evolutionarily stable strategy (ESS) modeling animal
behavior does not involve any spatial dependence. We considered a spatial
Hawk-Dove game played by animals in a patchy environment with wrap around
boundaries. We posit that each site contains the same number of individuals. An
evolution equat... | 0 | 0 | 0 | 0 | 1 | 0 |
Analysis of the measurements of anisotropic a.c. vortex resistivity in tilted magnetic fields | Measurements of the high-frequency complex resistivity in superconductors are
a tool often used to obtain the vortex parameters, such as the vortex
viscosity, the pinning constant and the depinning frequency. In anisotropic
superconductors, the extraction of these quantities from the measurements faces
new difficulti... | 0 | 1 | 0 | 0 | 0 | 0 |
Deep Convolutional Neural Network to Detect J-UNIWARD | This paper presents an empirical study on applying convolutional neural
networks (CNNs) to detecting J-UNIWARD, one of the most secure JPEG
steganographic method. Experiments guiding the architectural design of the CNNs
have been conducted on the JPEG compressed BOSSBase containing 10,000 covers of
size 512x512. Resu... | 1 | 0 | 0 | 0 | 0 | 0 |
Observing Power-Law Dynamics of Position-Velocity Correlation in Anomalous Diffusion | In this letter we present a measurement of the phase-space density
distribution (PSDD) of ultra-cold \Rb atoms performing 1D anomalous diffusion.
The PSDD is imaged using a direct tomographic method based on Raman velocity
selection. It reveals that the position-velocity correlation function
$C_{xv}(t)$ builds up on ... | 0 | 1 | 0 | 0 | 0 | 0 |
Modular curves, invariant theory and $E_8$ | The $E_8$ root lattice can be constructed from the modular curve $X(13)$ by
the invariant theory for the simple group $\text{PSL}(2, 13)$. This gives a
different construction of the $E_8$ root lattice. It also gives an explicit
construction of the modular curve $X(13)$.
| 0 | 0 | 1 | 0 | 0 | 0 |
Analysis of Approximate Stochastic Gradient Using Quadratic Constraints and Sequential Semidefinite Programs | We present convergence rate analysis for the approximate stochastic gradient
method, where individual gradient updates are corrupted by computation errors.
We develop stochastic quadratic constraints to formulate a small linear matrix
inequality (LMI) whose feasible set characterizes convergence properties of the
app... | 0 | 0 | 0 | 1 | 0 | 0 |
Invariant holomorphic discs in some non-convex domains | We give a description of complex geodesics and we study the structure of
stationary discs in some non-convex domains for which complex geodesics are not
unique.
| 0 | 0 | 1 | 0 | 0 | 0 |
MIMIX: a Bayesian Mixed-Effects Model for Microbiome Data from Designed Experiments | Recent advances in bioinformatics have made high-throughput microbiome data
widely available, and new statistical tools are required to maximize the
information gained from these data. For example, analysis of high-dimensional
microbiome data from designed experiments remains an open area in microbiome
research. Cont... | 0 | 0 | 0 | 1 | 0 | 0 |
SpatEntropy: Spatial Entropy Measures in R | This article illustrates how to measure the heterogeneity of spatial data
presenting a finite number of categories via computation of spatial entropy.
The R package SpatEntropy contains functions for the computation of entropy and
spatial entropy measures. The extension to spatial entropy measures is a unique
feature... | 0 | 0 | 0 | 1 | 0 | 0 |
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