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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Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification | Deep neural networks (DNNs) have transformed several artificial intelligence
research areas including computer vision, speech recognition, and natural
language processing. However, recent studies demonstrated that DNNs are
vulnerable to adversarial manipulations at testing time. Specifically, suppose
we have a testin... | 1 | 0 | 0 | 1 | 0 | 0 |
Partition-free families of sets | Let $m(n)$ denote the maximum size of a family of subsets which does not
contain two disjoint sets along with their union. In 1968 Kleitman proved that
$m(n) = {n\choose m+1}+\ldots +{n\choose 2m+1}$ if $n=3m+1$. Confirming the
conjecture of Kleitman, we establish the same equality for the cases $n=3m$ and
$n=3m+2$, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Measuring the Galactic Cosmic Ray Flux with the LISA Pathfinder Radiation Monitor | Test mass charging caused by cosmic rays will be a significant source of
acceleration noise for space-based gravitational wave detectors like LISA.
Operating between December 2015 and July 2017, the technology demonstration
mission LISA Pathfinder included a bespoke monitor to help characterise the
relationship betwe... | 0 | 1 | 0 | 0 | 0 | 0 |
Thread-Modular Static Analysis for Relaxed Memory Models | We propose a memory-model-aware static program analysis method for accurately
analyzing the behavior of concurrent software running on processors with weak
consistency models such as x86-TSO, SPARC-PSO, and SPARC-RMO. At the center of
our method is a unified framework for deciding the feasibility of inter-thread
inte... | 1 | 0 | 0 | 0 | 0 | 0 |
Bidirectional Evaluation with Direct Manipulation | We present an evaluation update (or simply, update) algorithm for a
full-featured functional programming language, which synthesizes program
changes based on output changes. Intuitively, the update algorithm retraces the
steps of the original evaluation, rewriting the program as needed to reconcile
differences betwee... | 1 | 0 | 0 | 0 | 0 | 0 |
Extreme Event Statistics in a Drifting Markov Chain | We analyse extreme event statistics of experimentally realized Markov chains
with various drifts. Our Markov chains are individual trajectories of a single
atom diffusing in a one dimensional periodic potential. Based on more than 500
individual atomic traces we verify the applicability of the Sparre Andersen
theorem... | 0 | 1 | 0 | 0 | 0 | 0 |
On a Possibility of Self Acceleration of Electrons in a Plasma | The self-consistent nonlinear interaction of a monoenergetic bunch with cold
plasma is considered. It is shown that under certain conditions a
self-acceleration of the bunch tail electrons up to high energies is possible.
| 0 | 1 | 0 | 0 | 0 | 0 |
An Adaptive Strategy for Active Learning with Smooth Decision Boundary | We present the first adaptive strategy for active learning in the setting of
classification with smooth decision boundary. The problem of adaptivity (to
unknown distributional parameters) has remained opened since the seminal work
of Castro and Nowak (2007), which first established (active learning) rates for
this se... | 1 | 0 | 0 | 1 | 0 | 0 |
Towards Adversarial Retinal Image Synthesis | Synthesizing images of the eye fundus is a challenging task that has been
previously approached by formulating complex models of the anatomy of the eye.
New images can then be generated by sampling a suitable parameter space. In
this work, we propose a method that learns to synthesize eye fundus images
directly from ... | 1 | 0 | 0 | 1 | 0 | 0 |
Tailoring the SiC surface - a morphology study on the epitaxial growth of graphene and its buffer layer | We investigate the growth of the graphene buffer layer and the involved step
bunching behavior of the silicon carbide substrate surface using atomic force
microscopy. The formation of local buffer layer domains are identified to be
the origin of undesirably high step edges in excellent agreement with the
predictions ... | 0 | 1 | 0 | 0 | 0 | 0 |
Polarization of the Vaccination Debate on Facebook | Vaccine hesitancy has been recognized as a major global health threat. Having
access to any type of information in social media has been suggested as a
potential powerful influence factor to hesitancy. Recent studies in other
fields than vaccination show that access to a wide amount of content through
the Internet wi... | 1 | 0 | 0 | 0 | 0 | 0 |
Predicting Demographics, Moral Foundations, and Human Values from Digital Behaviors | Personal electronic devices including smartphones give access to behavioural
signals that can be used to learn about the characteristics and preferences of
individuals. In this study, we explore the connection between demographic and
psychological attributes and the digital behavioural records, for a cohort of
7,633 ... | 1 | 0 | 0 | 0 | 0 | 0 |
Isotonic regression in general dimensions | We study the least squares regression function estimator over the class of
real-valued functions on $[0,1]^d$ that are increasing in each coordinate. For
uniformly bounded signals and with a fixed, cubic lattice design, we establish
that the estimator achieves the minimax rate of order
$n^{-\min\{2/(d+2),1/d\}}$ in t... | 0 | 0 | 1 | 1 | 0 | 0 |
Extraction of Schottky barrier height insensitive to temperature via forward currentvoltage- temperature measurements | The thermal stability of most electronic and photo-electronic devices
strongly depends on the relationship between Schottky Barrier Height (SBH) and
temperature. In this paper, the possible of thermionic current depicted via
correct and reliability relationship between forward current and voltage is
consequently disc... | 0 | 1 | 0 | 0 | 0 | 0 |
Emergent Open-Endedness from Contagion of the Fittest | In this paper, we study emergent irreducible information in populations of
randomly generated computable systems that are networked and follow a
"Susceptible-Infected-Susceptible" contagion model of imitation of the fittest
neighbor. We show that there is a lower bound for the stationary prevalence (or
average densit... | 1 | 0 | 0 | 0 | 0 | 0 |
Incompressible Limit of isentropic Navier-Stokes equations with Navier-slip boundary | This paper concerns the low Mach number limit of weak solutions to the
compressible Navier-Stokes equations for isentropic fluids in a bounded domain
with a Navier-slip boundary condition. In \cite{DGLM99}, it has been proved
that if the velocity is imposed the homogeneous Dirichlet boundary condition,
as the Mach nu... | 0 | 0 | 1 | 0 | 0 | 0 |
On Some Exponential Sums Related to the Coulter's Polynomial | In this paper, the formulas of some exponential sums over finite field,
related to the Coulter's polynomial, are settled based on the Coulter's
theorems on Weil sums, which may have potential application in the construction
of linear codes with few weights.
| 1 | 0 | 0 | 0 | 0 | 0 |
Distribution-Preserving k-Anonymity | Preserving the privacy of individuals by protecting their sensitive
attributes is an important consideration during microdata release. However, it
is equally important to preserve the quality or utility of the data for at
least some targeted workloads. We propose a novel framework for privacy
preservation based on th... | 1 | 0 | 0 | 1 | 0 | 0 |
Using controlled disorder to probe the interplay between charge order and superconductivity in NbSe2 | The interplay between superconductivity and charge density waves (CDW) in
$H$-NbSe2 is not fully understood despite decades of study. Artificially
introduced disorder can tip the delicate balance between two competing forms of
long-range order, and reveal the underlying interactions that give rise to
them. Here we in... | 0 | 1 | 0 | 0 | 0 | 0 |
A training process for improving the quality of software projects developed by a practitioner | Background: The quality of a software product depends on the quality of the
software process followed in developing the product. Therefore, many higher
education institutions (HEI) and software organizations have implemented
software process improvement (SPI) training courses to improve the software
quality. Objectiv... | 1 | 0 | 0 | 0 | 0 | 0 |
Gaia Data Release 1. Cross-match with external catalogues - Algorithm and results | Although the Gaia catalogue on its own will be a very powerful tool, it is
the combination of this highly accurate archive with other archives that will
truly open up amazing possibilities for astronomical research. The advanced
interoperation of archives is based on cross-matching, leaving the user with
the feeling ... | 0 | 1 | 0 | 0 | 0 | 0 |
Masses of Kepler-46b, c from Transit Timing Variations | We use 16 quarters of the \textit{Kepler} mission data to analyze the transit
timing variations (TTVs) of the extrasolar planet Kepler-46b (KOI-872). Our
dynamical fits confirm that the TTVs of this planet (period
$P=33.648^{+0.004}_{-0.005}$ days) are produced by a non-transiting planet
Kepler-46c ($P=57.325^{+0.116... | 0 | 1 | 0 | 0 | 0 | 0 |
Recovering water wave elevation from pressure measurements | The reconstruction of water wave elevation from bottom pressure measurements
is an important issue for coastal applications, but corresponds to a difficult
mathematical problem. In this paper we present the derivation of a method which
allows the elevation reconstruction of water waves in intermediate and shallow
wat... | 0 | 1 | 0 | 0 | 0 | 0 |
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization | The Schatten quasi-norm was introduced to bridge the gap between the trace
norm and rank function. However, existing algorithms are too slow or even
impractical for large-scale problems. Motivated by the equivalence relation
between the trace norm and its bilinear spectral penalty, we define two
tractable Schatten no... | 0 | 0 | 0 | 1 | 0 | 0 |
Spectral Radii of Truncated Circular Unitary Matrices | Consider a truncated circular unitary matrix which is a $p_n$ by $p_n$
submatrix of an $n$ by $n$ circular unitary matrix by deleting the last $n-p_n$
columns and rows. Jiang and Qi (2017) proved that the maximum absolute value of
the eigenvalues (known as spectral radius) of the truncated matrix, after
properly norm... | 0 | 0 | 1 | 1 | 0 | 0 |
Information Assisted Dictionary Learning for fMRI data analysis | In this paper, the task-related fMRI problem is treated in its matrix
factorization formulation. The focus of the reported work is on the dictionary
learning (DL) matrix factorization approach. A major novelty of the paper lies
in the incorporation of well-established assumptions associated with the GLM
technique, wh... | 0 | 0 | 0 | 1 | 0 | 0 |
Efficient, Certifiably Optimal Clustering with Applications to Latent Variable Graphical Models | Motivated by the task of clustering either $d$ variables or $d$ points into
$K$ groups, we investigate efficient algorithms to solve the Peng-Wei (P-W)
$K$-means semi-definite programming (SDP) relaxation. The P-W SDP has been
shown in the literature to have good statistical properties in a variety of
settings, but r... | 0 | 0 | 0 | 1 | 0 | 0 |
Two- and three-dimensional wide-field weak lensing mass maps from the Hyper Suprime-Cam Subaru Strategic Program S16A data | We present wide-field (167 deg$^2$) weak lensing mass maps from the Hyper
Supreme-Cam Subaru Strategic Program (HSC-SSP). We compare these weak lensing
based dark matter maps with maps of the distribution of the stellar mass
associated with luminous red galaxies. We find a strong correlation between
these two maps wi... | 0 | 1 | 0 | 0 | 0 | 0 |
A Time-spectral Approach to Numerical Weather Prediction | Finite difference methods are traditionally used for modelling the time
domain in numerical weather prediction (NWP). Time-spectral solution is an
attractive alternative for reasons of accuracy and efficiency and because time
step limitations associated with causal, CFL-like critera are avoided. In this
work, the Lor... | 0 | 1 | 0 | 0 | 0 | 0 |
Trivial Constraints on Orbital-free Kinetic Energy Density Functionals | Kinetic energy density functionals (KEDFs) are central to orbital-free
density functional theory. Limitations on the spatial derivative dependencies
of KEDFs have been claimed from differential virial theorems. We point out a
central defect in the argument: the relationships are not true for an arbitrary
density but ... | 0 | 1 | 0 | 0 | 0 | 0 |
The Multi-layer Information Bottleneck Problem | The muti-layer information bottleneck (IB) problem, where information is
propagated (or successively refined) from layer to layer, is considered. Based
on information forwarded by the preceding layer, each stage of the network is
required to preserve a certain level of relevance with regards to a specific
hidden vari... | 1 | 0 | 0 | 1 | 0 | 0 |
A geometric approach to non-linear correlations with intrinsic scatter | We propose a new mathematical model for $n-k$-dimensional non-linear
correlations with intrinsic scatter in $n$-dimensional data. The model is based
on Riemannian geometry, and is naturally symmetric with respect to the measured
variables and invariant under coordinate transformations. We combine the model
with a Bay... | 0 | 1 | 1 | 1 | 0 | 0 |
Computing simplicial representatives of homotopy group elements | A central problem of algebraic topology is to understand the homotopy groups
$\pi_d(X)$ of a topological space $X$. For the computational version of the
problem, it is well known that there is no algorithm to decide whether the
fundamental group $\pi_1(X)$ of a given finite simplicial complex $X$ is
trivial. On the o... | 1 | 0 | 1 | 0 | 0 | 0 |
Multiobjective Optimization of Solar Powered Irrigation System with Fuzzy Type-2 Noise Modelling | Optimization is becoming a crucial element in industrial applications
involving sustainable alternative energy systems. During the design of such
systems, the engineer/decision maker would often encounter noise factors (e.g.
solar insolation and ambient temperature fluctuations) when their system
interacts with the e... | 1 | 0 | 0 | 0 | 0 | 0 |
Convergence Analysis of Gradient EM for Multi-component Gaussian Mixture | In this paper, we study convergence properties of the gradient
Expectation-Maximization algorithm \cite{lange1995gradient} for Gaussian
Mixture Models for general number of clusters and mixing coefficients. We
derive the convergence rate depending on the mixing coefficients, minimum and
maximum pairwise distances bet... | 1 | 0 | 1 | 1 | 0 | 0 |
The Gravitational-Wave Physics | The direct detection of gravitational wave by Laser Interferometer
Gravitational-Wave Observatory indicates the coming of the era of
gravitational-wave astronomy and gravitational-wave cosmology. It is expected
that more and more gravitational-wave events will be detected by currently
existing and planned gravitation... | 0 | 1 | 0 | 0 | 0 | 0 |
Multivariant Assertion-based Guidance in Abstract Interpretation | Approximations during program analysis are a necessary evil, as they ensure
essential properties, such as soundness and termination of the analysis, but
they also imply not always producing useful results. Automatic techniques have
been studied to prevent precision loss, typically at the expense of larger
resource co... | 1 | 0 | 0 | 0 | 0 | 0 |
An Experimental Comparison of Uncertainty Sets for Robust Shortest Path Problems | Through the development of efficient algorithms, data structures and
preprocessing techniques, real-world shortest path problems in street networks
are now very fast to solve. But in reality, the exact travel times along each
arc in the network may not be known. This lead to the development of robust
shortest path pr... | 1 | 0 | 1 | 0 | 0 | 0 |
An experimental comparison of velocities underneath focussed breaking waves | Nonlinear wave interactions affect the evolution of steep wave groups, their
breaking and the associated kinematic field. Laboratory experiments are
performed to investigate the effect of the underlying focussing mechanism on
the shape of the breaking wave and its velocity field. In this regard, it is
found that the ... | 0 | 1 | 0 | 0 | 0 | 0 |
Full Momentum and Energy Resolved Spectral Function of a 2D Electronic System | The single-particle spectral function measures the density of electronic
states (DOS) in a material as a function of both momentum and energy, providing
central insights into phenomena such as superconductivity and Mott insulators.
While scanning tunneling microscopy (STM) and other tunneling methods have
provided pa... | 0 | 1 | 0 | 0 | 0 | 0 |
Complete parallel mean curvature surfaces in two-dimensional complex space-forms | The purpose of this article is to determine explicitly the complete surfaces
with parallel mean curvature vector, both in the complex projective plane and
the complex hyperbolic plane. The main results are as follows: When the
curvature of the ambient space is positive, there exists a unique such surface
up to rigid ... | 0 | 0 | 1 | 0 | 0 | 0 |
Parallelized Linear Classification with Volumetric Chemical Perceptrons | In this work, we introduce a new type of linear classifier that is
implemented in a chemical form. We propose a novel encoding technique which
simultaneously represents multiple datasets in an array of microliter-scale
chemical mixtures. Parallel computations on these datasets are performed as
robotic liquid handling... | 0 | 0 | 0 | 0 | 1 | 0 |
Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification | Multi-label image classification is a fundamental but challenging task in
computer vision. Great progress has been achieved by exploiting semantic
relations between labels in recent years. However, conventional approaches are
unable to model the underlying spatial relations between labels in multi-label
images, becau... | 1 | 0 | 0 | 0 | 0 | 0 |
The critical binary star separation for a planetary system origin of white dwarf pollution | The atmospheres of between one quarter and one half of observed single white
dwarfs in the Milky Way contain heavy element pollution from planetary debris.
The pollution observed in white dwarfs in binary star systems is, however, less
clear, because companion star winds can generate a stream of matter which is
accre... | 0 | 1 | 0 | 0 | 0 | 0 |
A quantum Mirković-Vybornov isomorphism | We present a quantization of an isomorphism of Mirković and Vybornov which
relates the intersection of a Slodowy slice and a nilpotent orbit closure in
$\mathfrak{gl}_N$ , to a slice between spherical Schubert varieties in the
affine Grassmannian of $PGL_n$ (with weights encoded by the Jordan types of the
nilpotent o... | 0 | 0 | 1 | 0 | 0 | 0 |
Portfolio diversification and model uncertainty: a robust dynamic mean-variance approach | This paper is concerned with a multi-asset mean-variance portfolio selection
problem under model uncertainty. We develop a continuous time framework for
taking into account ambiguity aversion about both expected return rates and
correlation matrix of the assets, and for studying the effects on portfolio
diversificati... | 0 | 0 | 0 | 0 | 0 | 1 |
TensorLayer: A Versatile Library for Efficient Deep Learning Development | Deep learning has enabled major advances in the fields of computer vision,
natural language processing, and multimedia among many others. Developing a
deep learning system is arduous and complex, as it involves constructing neural
network architectures, managing training/trained models, tuning optimization
process, p... | 1 | 0 | 0 | 1 | 0 | 0 |
Effects of excess carriers on native defects in wide bandgap semiconductors: illumination as a method to enhance p-type doping | Undesired unintentional doping and doping limits in semiconductors are
typically caused by compensating defects with low formation energies. Since the
formation energy of a charged defect depends linearly on the Fermi level,
doping limits can be especially pronounced in wide bandgap semiconductors where
the Fermi lev... | 0 | 1 | 0 | 0 | 0 | 0 |
LATTE: Application Oriented Social Network Embedding | In recent years, many research works propose to embed the network structured
data into a low-dimensional feature space, where each node is represented as a
feature vector. However, due to the detachment of embedding process with
external tasks, the learned embedding results by most existing embedding models
can be in... | 1 | 0 | 0 | 0 | 0 | 0 |
Giant paramagnetism induced valley polarization of electrons in charge-tunable monolayer MoSe2 | For applications exploiting the valley pseudospin degree of freedom in
transition metal dichalcogenide monolayers, efficient preparation of electrons
or holes in a single valley is essential. Here, we show that a magnetic field
of 7 Tesla leads to a near-complete valley polarization of electrons in MoSe2
monolayer wi... | 0 | 1 | 0 | 0 | 0 | 0 |
Highrisk Prediction from Electronic Medical Records via Deep Attention Networks | Predicting highrisk vascular diseases is a significant issue in the medical
domain. Most predicting methods predict the prognosis of patients from
pathological and radiological measurements, which are expensive and require
much time to be analyzed. Here we propose deep attention models that predict
the onset of the h... | 1 | 0 | 0 | 1 | 0 | 0 |
Agent based simulation of the evolution of society as an alternate maximization problem | Understanding the evolution of human society, as a complex adaptive system,
is a task that has been looked upon from various angles. In this paper, we
simulate an agent-based model with a high enough population tractably. To do
this, we characterize an entity called \textit{society}, which helps us reduce
the complex... | 1 | 0 | 0 | 1 | 0 | 0 |
Can a heart rate variability biomarker identify the presence of autism spectrum disorder in eight year old children? | Autonomic nervous system (ANS) activity is altered in autism spectrum
disorder (ASD). Heart rate variability (HRV) derived from electrocardiogram
(ECG) has been a powerful tool to identify alterations in ANS due to a plethora
of pathophysiological conditions, including psychological ones such as
depression. ECG-deriv... | 0 | 0 | 0 | 0 | 1 | 0 |
Semantic Entity Retrieval Toolkit | Unsupervised learning of low-dimensional, semantic representations of words
and entities has recently gained attention. In this paper we describe the
Semantic Entity Retrieval Toolkit (SERT) that provides implementations of our
previously published entity representation models. The toolkit provides a
unified interfac... | 1 | 0 | 0 | 0 | 0 | 0 |
Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection | In the Best-$k$-Arm problem, we are given $n$ stochastic bandit arms, each
associated with an unknown reward distribution. We are required to identify the
$k$ arms with the largest means by taking as few samples as possible. In this
paper, we make progress towards a complete characterization of the
instance-wise samp... | 1 | 0 | 0 | 1 | 0 | 0 |
Dimensions of equilibrium measures on a class of planar self-affine sets | We study equilibrium measures (Käenmäki measures) supported on
self-affine sets generated by a finite collection of diagonal and anti-diagonal
matrices acting on the plane and satisfying the strong separation property. Our
main result is that such measures are exact dimensional and the dimension
satisfies the Ledrapp... | 0 | 0 | 1 | 0 | 0 | 0 |
Hubble PanCET: An isothermal day-side atmosphere for the bloated gas-giant HAT-P-32Ab | We present a thermal emission spectrum of the bloated hot Jupiter HAT-P-32Ab
from a single eclipse observation made in spatial scan mode with the Wide Field
Camera 3 (WFC3) aboard the Hubble Space Telescope (HST). The spectrum covers
the wavelength regime from 1.123 to 1.644 microns which is binned into 14
eclipse de... | 0 | 1 | 0 | 0 | 0 | 0 |
One Model To Learn Them All | Deep learning yields great results across many fields, from speech
recognition, image classification, to translation. But for each problem,
getting a deep model to work well involves research into the architecture and a
long period of tuning. We present a single model that yields good results on a
number of problems ... | 1 | 0 | 0 | 1 | 0 | 0 |
Porcupine Neural Networks: (Almost) All Local Optima are Global | Neural networks have been used prominently in several machine learning and
statistics applications. In general, the underlying optimization of neural
networks is non-convex which makes their performance analysis challenging. In
this paper, we take a novel approach to this problem by asking whether one can
constrain n... | 1 | 0 | 0 | 1 | 0 | 0 |
Configuration Path Integral Monte Carlo Approach to the Static Density Response of the Warm Dense Electron Gas | Precise knowledge of the static density response function (SDRF) of the
uniform electron gas (UEG) serves as key input for numerous applications, most
importantly for density functional theory beyond generalized gradient
approximations. Here we extend the configuration path integral Monte Carlo
(CPIMC) formalism that... | 0 | 1 | 0 | 0 | 0 | 0 |
Superzone gap formation and low lying crystal electric field levels in PrPd$_2$Ge$_2$ single crystal | The magnetocrystalline anisotropy exhibited in PrPd$_2$Ge$_2$ single crystal
has been investigated by measuring the magnetization, magnetic susceptibility,
electrical resistivity and heat capacity. PrPd$_2$Ge$_2$ crystallizes in the
well known ThCr$_2$Si$_2$\--type tetragonal structure. The antiferromagnetic
ordering... | 0 | 1 | 0 | 0 | 0 | 0 |
Adaptive Real-Time Software Defined MIMO Visible Light Communications using Spatial Multiplexing and Spatial Diversity | In this paper, we experimentally demonstrate a real-time software defined
multiple input multiple output (MIMO) visible light communication (VLC) system
employing link adaptation of spatial multiplexing and spatial diversity.
Real-time MIMO signal processing is implemented by using the Field Programmable
Gate Array (... | 1 | 0 | 1 | 0 | 0 | 0 |
Maximum Principle Based Algorithms for Deep Learning | The continuous dynamical system approach to deep learning is explored in
order to devise alternative frameworks for training algorithms. Training is
recast as a control problem and this allows us to formulate necessary
optimality conditions in continuous time using the Pontryagin's maximum
principle (PMP). A modifica... | 1 | 0 | 0 | 1 | 0 | 0 |
Factorization Machines Leveraging Lightweight Linked Open Data-enabled Features for Top-N Recommendations | With the popularity of Linked Open Data (LOD) and the associated rise in
freely accessible knowledge that can be accessed via LOD, exploiting LOD for
recommender systems has been widely studied based on various approaches such as
graph-based or using different machine learning models with LOD-enabled
features. Many o... | 1 | 0 | 0 | 0 | 0 | 0 |
Wave propagation and homogenization in 2D and 3D lattices: a semi-analytical approach | Wave motion in two- and three-dimensional periodic lattices of beam members
supporting longitudinal and flexural waves is considered. An analytic method
for solving the Bloch wave spectrum is developed, characterized by a
generalized eigenvalue equation obtained by enforcing the Floquet condition.
The dynamic stiffne... | 0 | 1 | 0 | 0 | 0 | 0 |
Waring's problem for unipotent algebraic groups | In this paper, we formulate an analogue of Waring's problem for an algebraic
group $G$. At the field level we consider a morphism of varieties $f\colon
\mathbb{A}^1\to G$ and ask whether every element of $G(K)$ is the product of a
bounded number of elements $f(\mathbb{A}^1(K)) = f(K)$. We give an affirmative
answer w... | 0 | 0 | 1 | 0 | 0 | 0 |
Spreading of localized attacks in spatial multiplex networks | Many real-world multilayer systems such as critical infrastructure are
interdependent and embedded in space with links of a characteristic length.
They are also vulnerable to localized attacks or failures, such as terrorist
attacks or natural catastrophes, which affect all nodes within a given radius.
Here we study t... | 1 | 1 | 0 | 0 | 0 | 0 |
Greedy Sparse Signal Reconstruction Using Matching Pursuit Based on Hope-tree | The reconstruction of sparse signals requires the solution of an
$\ell_0$-norm minimization problem in Compressed Sensing. Previous research has
focused on the investigation of a single candidate to identify the support
(index of nonzero elements) of a sparse signal. To ensure that the optimal
candidate can be obtain... | 1 | 0 | 1 | 0 | 0 | 0 |
Attack-Aware Multi-Sensor Integration Algorithm for Autonomous Vehicle Navigation Systems | In this paper, we propose a fault detection and isolation based attack-aware
multi-sensor integration algorithm for the detection of cyberattacks in
autonomous vehicle navigation systems. The proposed algorithm uses an extended
Kalman filter to construct robust residuals in the presence of noise, and then
uses a para... | 1 | 0 | 0 | 0 | 0 | 0 |
Turbulence, cascade and singularity in a generalization of the Constantin-Lax-Majda equation | We study numerically a Constantin-Lax-Majda-De Gregorio model generalized by
Okamoto, Sakajo and Wunsch, which is a model of fluid turbulence in one
dimension with an inviscid conservation law. In the presence of the viscosity
and two types of the large-scale forcings, we show that turbulent cascade of
the inviscid i... | 0 | 1 | 0 | 0 | 0 | 0 |
Fitting phase--type scale mixtures to heavy--tailed data and distributions | We consider the fitting of heavy tailed data and distribution with a special
attention to distributions with a non--standard shape in the "body" of the
distribution. To this end we consider a dense class of heavy tailed
distributions introduced recently, employing an EM algorithm for the the
maximum likelihood estima... | 0 | 0 | 1 | 1 | 0 | 0 |
Deep Incremental Boosting | This paper introduces Deep Incremental Boosting, a new technique derived from
AdaBoost, specifically adapted to work with Deep Learning methods, that reduces
the required training time and improves generalisation. We draw inspiration
from Transfer of Learning approaches to reduce the start-up time to training
each in... | 1 | 0 | 0 | 1 | 0 | 0 |
Empirical Likelihood for Linear Structural Equation Models with Dependent Errors | We consider linear structural equation models that are associated with mixed
graphs. The structural equations in these models only involve observed
variables, but their idiosyncratic error terms are allowed to be correlated and
non-Gaussian. We propose empirical likelihood (EL) procedures for inference,
and suggest s... | 0 | 0 | 0 | 1 | 0 | 0 |
Grassmannian flows and applications to nonlinear partial differential equations | We show how solutions to a large class of partial differential equations with
nonlocal Riccati-type nonlinearities can be generated from the corresponding
linearized equations, from arbitrary initial data. It is well known that
evolutionary matrix Riccati equations can be generated by projecting linear
evolutionary f... | 0 | 1 | 1 | 0 | 0 | 0 |
The Reinhardt Conjecture as an Optimal Control Problem | In 1934, Reinhardt conjectured that the shape of the centrally symmetric
convex body in the plane whose densest lattice packing has the smallest density
is a smoothed octagon. This conjecture is still open. We formulate the
Reinhardt Conjecture as a problem in optimal control theory. The smoothed
octagon is a Pontrya... | 0 | 0 | 1 | 0 | 0 | 0 |
Deep submillimeter and radio observations in the SSA22 field. I. Powering sources and Lyα escape fraction of Lyα blobs | We study the heating mechanisms and Ly{\alpha} escape fractions of 35
Ly{\alpha} blobs (LABs) at z = 3.1 in the SSA22 field. Dust continuum sources
have been identified in 11 of the 35 LABs, all with star formation rates (SFRs)
above 100 Msun/yr. Likely radio counterparts are detected in 9 out of 29
investigated LABs... | 0 | 1 | 0 | 0 | 0 | 0 |
Modeling temporal constraints for a system of interactive scores | In this chapter we explain briefly the fundamentals of the interactive scores
formalism. Then we develop a solution for implementing the ECO machine by
mixing petri nets and constraints propagation. We also present another solution
for implementing the ECO machine using concurrent constraint programming.
Finally, we ... | 1 | 0 | 0 | 0 | 0 | 0 |
Electronic structure of ThRu2Si2 studied by angle-resolved photoelectron spectroscopy: Elucidating the contribution of U 5f states in URu2Si2 | The electronic structure of ThRu2Si2 was studied by angle-resolved
photoelectron spectroscopy (ARPES) with incident photon energies of hn=655-745
eV. Detailed band structure and the three-dimensional shapes of Fermi surfaces
were derived experimentally, and their characteristic features were mostly
explained by means... | 0 | 1 | 0 | 0 | 0 | 0 |
Non-zero constant curvature factorable surfaces in pseudo-Galilean space | Factorable surfaces, i.e. graphs associated with the product of two functions
of one variable, constitute a wide class of surfaces. Such surfaces in the
pseudo-Galilean space with zero Gaussian and mean curvature were obtained in
[1]. In this study, we provide new classification results relating to the
factorable sur... | 0 | 0 | 1 | 0 | 0 | 0 |
Darboux and Binary Darboux Transformations for Discrete Integrable Systems. II. Discrete Potential mKdV Equation | The paper presents two results. First it is shown how the discrete potential
modified KdV equation and its Lax pairs in matrix form arise from the
Hirota-Miwa equation by a 2-periodic reduction. Then Darboux transformations
and binary Darboux transformations are derived for the discrete potential
modified KdV equatio... | 0 | 1 | 0 | 0 | 0 | 0 |
Nearly second-order asymptotic optimality of sequential change-point detection with one-sample updates | Sequential change-point detection when the distribution parameters are
unknown is a fundamental problem in statistics and machine learning. When the
post-change parameters are unknown, we consider a set of detection procedures
based on sequential likelihood ratios with non-anticipating estimators
constructed using on... | 1 | 0 | 1 | 1 | 0 | 0 |
Algorithms in the classical Néron Desingularization | We give algorithms to construct the Néron Desingularization and the easy
case from \cite{KK} of the General Néron Desingularization.
| 0 | 0 | 1 | 0 | 0 | 0 |
Recent Advances in Neural Program Synthesis | In recent years, deep learning has made tremendous progress in a number of
fields that were previously out of reach for artificial intelligence. The
successes in these problems has led researchers to consider the possibilities
for intelligent systems to tackle a problem that humans have only recently
themselves consi... | 1 | 0 | 0 | 0 | 0 | 0 |
Generator Reversal | We consider the problem of training generative models with deep neural
networks as generators, i.e. to map latent codes to data points. Whereas the
dominant paradigm combines simple priors over codes with complex deterministic
models, we propose instead to use more flexible code distributions. These
distributions are... | 1 | 0 | 0 | 1 | 0 | 0 |
Finite model reasoning over existential rules | Ontology-based query answering (OBQA) asks whether a Boolean conjunctive
query is satisfied by all models of a logical theory consisting of a relational
database paired with an ontology. The introduction of existential rules (i.e.,
Datalog rules extended with existential quantifiers in rule-heads) as a means
to speci... | 1 | 0 | 0 | 0 | 0 | 0 |
On the convergence properties of a $K$-step averaging stochastic gradient descent algorithm for nonconvex optimization | Despite their popularity, the practical performance of asynchronous
stochastic gradient descent methods (ASGD) for solving large scale machine
learning problems are not as good as theoretical results indicate. We adopt and
analyze a synchronous K-step averaging stochastic gradient descent algorithm
which we call K-AV... | 1 | 0 | 0 | 1 | 0 | 0 |
Adversarial Neural Machine Translation | In this paper, we study a new learning paradigm for Neural Machine
Translation (NMT). Instead of maximizing the likelihood of the human
translation as in previous works, we minimize the distinction between human
translation and the translation given by an NMT model. To achieve this goal,
inspired by the recent succes... | 1 | 0 | 0 | 1 | 0 | 0 |
Surface group amalgams that (don't) act on 3-manifolds | We determine which amalgamated products of surface groups identified over
multiples of simple closed curves are not fundamental groups of 3-manifolds. We
prove each surface amalgam considered is virtually the fundamental group of a
3-manifold. We prove that each such surface group amalgam is abstractly
commensurable ... | 0 | 0 | 1 | 0 | 0 | 0 |
Shading Annotations in the Wild | Understanding shading effects in images is critical for a variety of vision
and graphics problems, including intrinsic image decomposition, shadow removal,
image relighting, and inverse rendering. As is the case with other vision
tasks, machine learning is a promising approach to understanding shading - but
there is ... | 1 | 0 | 0 | 0 | 0 | 0 |
Koszul cycles and Golod rings | Let $S$ be the power series ring or the polynomial ring over a field $K$ in
the variables $x_1,\ldots,x_n$, and let $R=S/I$, where $I$ is proper ideal
which we assume to be graded if $S$ is the polynomial ring. We give an explicit
description of the cycles of the Koszul complex whose homology classes generate
the Kos... | 0 | 0 | 1 | 0 | 0 | 0 |
PacGAN: The power of two samples in generative adversarial networks | Generative adversarial networks (GANs) are innovative techniques for learning
generative models of complex data distributions from samples. Despite
remarkable recent improvements in generating realistic images, one of their
major shortcomings is the fact that in practice, they tend to produce samples
with little dive... | 1 | 0 | 0 | 1 | 0 | 0 |
Stein-like Estimators for Causal Mediation Analysis in Randomized Trials | Causal mediation analysis aims to estimate the natural direct and indirect
effects under clearly specified assumptions. Traditional mediation analysis
based on Ordinary Least Squares (OLS) relies on the absence of unmeasured
causes of the putative mediator and outcome. When this assumption cannot be
justified, Instru... | 0 | 0 | 0 | 1 | 0 | 0 |
Structure-Based Subspace Method for Multi-Channel Blind System Identification | In this work, a novel subspace-based method for blind identification of
multichannel finite impulse response (FIR) systems is presented. Here, we
exploit directly the impeded Toeplitz channel structure in the signal linear
model to build a quadratic form whose minimization leads to the desired channel
estimation up t... | 1 | 0 | 0 | 1 | 0 | 0 |
On Certain Analytical Representations of Cellular Automata | We extend a previously introduced semi-analytical representation of a
decomposition of CA dynamics in arbitrary dimensions and neighborhood schemes
via the use of certain universal maps in which CA rule vectors are derivable
from the equivalent of superpotentials. The results justify the search for
alternative analog... | 0 | 1 | 0 | 0 | 0 | 0 |
Strong consistency and optimality for generalized estimating equations with stochastic covariates | In this article we study the existence and strong consistency of GEE
estimators, when the generalized estimating functions are martingales with
random coefficients. Furthermore, we characterize estimating functions which
are asymptotically optimal.
| 0 | 0 | 1 | 1 | 0 | 0 |
Synthesis and electronic properties of Ruddlesden-Popper strontium iridate epitaxial thin films stabilized by control of growth kinetics | We report on the selective fabrication of high-quality Sr$_2$IrO$_4$ and
SrIrO$_3$ epitaxial thin films from a single polycrystalline Sr$_2$IrO$_4$
target by pulsed laser deposition. Using a combination of X-ray diffraction and
photoemission spectroscopy characterizations, we discover that within a
relatively narrow ... | 0 | 1 | 0 | 0 | 0 | 0 |
A proof on energy gap for Yang-Mills connection | In this note, we prove an ${L^{\frac{n}{2}}}$-energy gap result for
Yang-Mills connections on a principal $G$-bundle over a compact manifold
without using Lojasiewicz-Simon gradient inequality (arXiv:1502.00668).
| 0 | 0 | 1 | 0 | 0 | 0 |
Realisability of Pomsets via Communicating Automata | Pomsets are a model of concurrent computations introduced by Pratt. They can
provide a syntax-oblivious description of semantics of coordination models
based on asynchronous message-passing, such as Message Sequence Charts (MSCs).
In this paper, we study conditions that ensure a specification expressed as a
set of po... | 1 | 0 | 0 | 0 | 0 | 0 |
Complex pattern formation driven by the interaction of stable fronts in a competition-diffusion system | The ecological invasion problem in which a weaker exotic species invades an
ecosystem inhabited by two strongly competing native species is modelled by a
three-species competition-diffusion system. It is known that for a certain
range of parameter values competitor-mediated coexistence occurs and complex
spatio-tempo... | 0 | 0 | 0 | 0 | 1 | 0 |
Solitons with rings and vortex rings on solitons in nonlocal nonlinear media | Nonlocality is a key feature of many physical systems since it prevents a
catastrophic collapse and a symmetry-breaking azimuthal instability of intense
wave beams in a bulk self-focusing nonlinear media. This opens up an intriguing
perspective for stabilization of complex topological structures such as
higher-order ... | 0 | 1 | 0 | 0 | 0 | 0 |
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