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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Isometric copies of $l^\infty$ in Cesàro-Orlicz function spaces | We characterize Cesàro-Orlicz function spaces $Ces_{\varphi}$ containing
order isomorphically isometric copy of $l^\infty$. We discuss also some useful
applicable conditions sufficient for the existence of such a copy.
| 0 | 0 | 1 | 0 | 0 | 0 |
Modeling non-stationary extreme dependence with stationary max-stable processes and multidimensional scaling | Modeling the joint distribution of extreme weather events in multiple
locations is a challenging task with important applications. In this study, we
use max-stable models to study extreme daily precipitation events in
Switzerland. The non-stationarity of the spatial process at hand involves
important challenges, whic... | 0 | 0 | 0 | 1 | 0 | 0 |
MOEMS deformable mirror testing in cryo for future optical instrumentation | MOEMS Deformable Mirrors (DM) are key components for next generation
instruments with innovative adaptive optics systems, in existing telescopes and
in the future ELTs. These DMs must perform at room temperature as well as in
cryogenic and vacuum environment. Ideally, the MOEMS-DMs must be designed to
operate in such... | 0 | 1 | 0 | 0 | 0 | 0 |
Remote Sensing Image Scene Classification: Benchmark and State of the Art | Remote sensing image scene classification plays an important role in a wide
range of applications and hence has been receiving remarkable attention. During
the past years, significant efforts have been made to develop various datasets
or present a variety of approaches for scene classification from remote sensing
ima... | 1 | 0 | 0 | 0 | 0 | 0 |
The Network of U.S. Mutual Fund Investments: Diversification, Similarity and Fragility throughout the Global Financial Crisis | Network theory proved recently to be useful in the quantification of many
properties of financial systems. The analysis of the structure of investment
portfolios is a major application since their eventual correlation and overlap
impact the actual risk diversification by individual investors. We investigate
the bipar... | 0 | 0 | 0 | 1 | 0 | 1 |
Removal of Salt and Pepper noise from Gray-Scale and Color Images: An Adaptive Approach | An efficient adaptive algorithm for the removal of Salt and Pepper noise from
gray scale and color image is presented in this paper. In this proposed method
first a 3X3 window is taken and the central pixel of the window is considered
as the processing pixel. If the processing pixel is found as uncorrupted, then
it i... | 1 | 0 | 0 | 0 | 0 | 0 |
On the distance and algorithms of strong product digraphs | Strong product is an efficient way to construct a larger digraph through some
specific small digraphs. The large digraph constructed by the strong product
method contains the factor digraphs as its subgraphs, and can retain some good
properties of the factor digraphs. The distance of digraphs is one of the most
basic... | 1 | 0 | 0 | 0 | 0 | 0 |
Global weak solution to the viscous two-fluid model with finite energy | In this paper, we prove the existence of global weak solutions to the
compressible two-fluid Navier-Stokes equations in three dimensional space. The
pressure depends on two different variables from the continuity equations.
We develop an argument of variable reduction for the pressure law. This
yields to the strong c... | 0 | 0 | 1 | 0 | 0 | 0 |
Privacy Preserving and Collusion Resistant Energy Sharing | Energy has been increasingly generated or collected by different entities on
the power grid (e.g., universities, hospitals and householdes) via solar
panels, wind turbines or local generators in the past decade. With local
energy, such electricity consumers can be considered as "microgrids" which can
simulataneously ... | 1 | 0 | 0 | 0 | 0 | 0 |
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes | Word embeddings use vectors to represent words such that the geometry between
vectors captures semantic relationship between the words. In this paper, we
develop a framework to demonstrate how the temporal dynamics of the embedding
can be leveraged to quantify changes in stereotypes and attitudes toward women
and eth... | 1 | 0 | 0 | 0 | 0 | 0 |
Infinite Mixture of Inverted Dirichlet Distributions | In this work, we develop a novel Bayesian estimation method for the Dirichlet
process (DP) mixture of the inverted Dirichlet distributions, which has been
shown to be very flexible for modeling vectors with positive elements. The
recently proposed extended variational inference (EVI) framework is adopted to
derive an... | 0 | 0 | 0 | 1 | 0 | 0 |
$Ψ$ec: A Local Spectral Exterior Calculus | We introduce $\Psi$ec, a local spectral exterior calculus that provides a
discretization of Cartan's exterior calculus of differential forms using
wavelet functions. Our construction consists of differential form wavelets with
flexible directional localization, between fully isotropic and curvelet- and
ridgelet-like,... | 1 | 0 | 0 | 0 | 0 | 0 |
Ultraslow fluctuations in the pseudogap states of HgBa$_{2}$CaCu$_{2}$O$_{6+d}$ | We report the transverse relaxation rates 1/$T_2$'s of the $^{63}$Cu nuclear
spin-echo envelope for double-layer high-$T_c$ cuprate superconductors
HgBa$_{2}$CaCu$_{2}$O$_{6+d}$ from underdoped to overdoped. The relaxation rate
1/$T_{2L}$ of the exponential function (Lorentzian component) shows a peak at
220$-$240 K ... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction | Limited-angle computed tomography (CT) is often used in clinical applications
such as C-arm CT for interventional imaging. However, CT images from limited
angles suffers from heavy artifacts due to incomplete projection data. Existing
iterative methods require extensive calculations but can not deliver
satisfactory r... | 1 | 0 | 0 | 0 | 0 | 0 |
Helium-like atoms. The Green's function approach to the Fock expansion calculations | The renewed Green's function approach to calculating the angular Fock
coefficients, $\psi_{k,p}(\alpha,\theta)$ is presented. The final formulas are
simplified and specified to be applicable for analytical as well as numerical
calculations. The Green's function formulas with the hyperspherical angles
$\theta=0,\pi$ (... | 0 | 1 | 0 | 0 | 0 | 0 |
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation | This paper proposes a new algorithm for controlling classification results by
generating a small additive perturbation without changing the classifier
network. Our work is inspired by existing works generating adversarial
perturbation that worsens classification performance. In contrast to the
existing methods, our w... | 1 | 0 | 0 | 1 | 0 | 0 |
Secrecy Outage Analysis for Downlink Transmissions in the Presence of Randomly Located Eavesdroppers | We analyze the secrecy outage probability in the downlink for wireless
networks with spatially (Poisson) distributed eavesdroppers (EDs) under the
assumption that the base station employs transmit antenna selection (TAS) to
enhance secrecy performance. We compare the cases where the receiving user
equipment (UE) oper... | 1 | 0 | 1 | 0 | 0 | 0 |
Defining Equitable Geographic Districts in Road Networks via Stable Matching | We introduce a novel method for defining geographic districts in road
networks using stable matching. In this approach, each geographic district is
defined in terms of a center, which identifies a location of interest, such as
a post office or polling place, and all other network vertices must be labeled
with the cen... | 1 | 0 | 0 | 0 | 0 | 0 |
End-to-end Lung Nodule Detection in Computed Tomography | Computer aided diagnostic (CAD) system is crucial for modern med-ical
imaging. But almost all CAD systems operate on reconstructed images, which were
optimized for radiologists. Computer vision can capture features that is subtle
to human observers, so it is desirable to design a CAD system op-erating on the
raw data... | 1 | 0 | 0 | 1 | 0 | 0 |
Fairness with Dynamics | It has recently been shown that if feedback effects of decisions are ignored,
then imposing fairness constraints such as demographic parity or equality of
opportunity can actually exacerbate unfairness. We propose to address this
challenge by modeling feedback effects as the dynamics of a Markov decision
processes (M... | 1 | 0 | 0 | 1 | 0 | 0 |
Exploring extra dimensions through inflationary tensor modes | Predictions of inflationary schemes can be influenced by the presence of
extra dimensions. This could be of particular relevance for the spectrum of
gravitational waves in models where the extra dimensions provide a brane-world
solution to the hierarchy problem. Apart from models of large as well as
exponentially war... | 0 | 1 | 0 | 0 | 0 | 0 |
Elements of $C^*$-algebras Attaining Their Norm in a Finite-Dimensional Representation | We characterize the class of RFD $C^*$-algebras as those containing a dense
subset of elements that attain their norm under a finite-dimensional
representation. We show further that this subset is the whole space precisely
when every irreducible representation of the $C^*$-algebra is
finite-dimensional, which is equi... | 0 | 0 | 1 | 0 | 0 | 0 |
A probability inequality for sums of independent Banach space valued random variables | Let $(\mathbf{B}, \|\cdot\|)$ be a real separable Banach space. Let
$\varphi(\cdot)$ and $\psi(\cdot)$ be two continuous and increasing functions
defined on $[0, \infty)$ such that $\varphi(0) = \psi(0) = 0$, $\lim_{t
\rightarrow \infty} \varphi(t) = \infty$, and
$\frac{\psi(\cdot)}{\varphi(\cdot)}$ is a nondecreasin... | 0 | 0 | 1 | 0 | 0 | 0 |
Including Uncertainty when Learning from Human Corrections | It is difficult for humans to efficiently teach robots how to correctly
perform a task. One intuitive solution is for the robot to iteratively learn
the human's preferences from corrections, where the human improves the robot's
current behavior at each iteration. When learning from corrections, we argue
that while th... | 1 | 0 | 0 | 0 | 0 | 0 |
Gated-Attention Architectures for Task-Oriented Language Grounding | To perform tasks specified by natural language instructions, autonomous
agents need to extract semantically meaningful representations of language and
map it to visual elements and actions in the environment. This problem is
called task-oriented language grounding. We propose an end-to-end trainable
neural architectu... | 1 | 0 | 0 | 0 | 0 | 0 |
Automatic classification of trees using a UAV onboard camera and deep learning | Automatic classification of trees using remotely sensed data has been a dream
of many scientists and land use managers. Recently, Unmanned aerial vehicles
(UAV) has been expected to be an easy-to-use, cost-effective tool for remote
sensing of forests, and deep learning has attracted attention for its ability
concerni... | 0 | 0 | 0 | 1 | 0 | 0 |
Assortative Mixing Equilibria in Social Network Games | It is known that individuals in social networks tend to exhibit homophily
(a.k.a. assortative mixing) in their social ties, which implies that they
prefer bonding with others of their own kind. But what are the reasons for this
phenomenon? Is it that such relations are more convenient and easier to
maintain? Or are t... | 1 | 1 | 0 | 0 | 0 | 0 |
Texture segmentation with Fully Convolutional Networks | In the last decade, deep learning has contributed to advances in a wide range
computer vision tasks including texture analysis. This paper explores a new
approach for texture segmentation using deep convolutional neural networks,
sharing important ideas with classic filter bank based texture segmentation
methods. Sev... | 1 | 0 | 0 | 0 | 0 | 0 |
The Beam and detector of the NA62 experiment at CERN | NA62 is a fixed-target experiment at the CERN SPS dedicated to measurements
of rare kaon decays. Such measurements, like the branching fraction of the
$K^{+} \rightarrow \pi^{+} \nu \bar\nu$ decay, have the potential to bring
significant insights into new physics processes when comparison is made with
precise theoret... | 0 | 1 | 0 | 0 | 0 | 0 |
A dequantized metaplectic knot invariant | Let $K\subset S^3$ be a knot, $X:= S^3\setminus K$ its complement, and
$\mathbb{T}$ the circle group identified with $\mathbb{R}/\mathbb{Z}$. To any
oriented long knot diagram of $K$, we associate a quadratic polynomial in
variables bijectively associated with the bridges of the diagram such that,
when the variables ... | 0 | 0 | 1 | 0 | 0 | 0 |
Persian Wordnet Construction using Supervised Learning | This paper presents an automated supervised method for Persian wordnet
construction. Using a Persian corpus and a bi-lingual dictionary, the initial
links between Persian words and Princeton WordNet synsets have been generated.
These links will be discriminated later as correct or incorrect by employing
seven feature... | 1 | 0 | 0 | 1 | 0 | 0 |
Anyon condensation and its applications | Bose condensation is central to our understanding of quantum phases of
matter. Here we review Bose condensation in topologically ordered phases (also
called topological symmetry breaking), where the condensing bosons have
non-trivial mutual statistics with other quasiparticles in the system. We give
a non-technical o... | 0 | 1 | 0 | 0 | 0 | 0 |
Group-velocity-locked vector soliton molecules in a birefringence-enhanced fiber laser | Physics phenomena of multi-soliton complexes have enriched the life of
dissipative solitons in fiber lasers. By developing a birefringence-enhanced
fiber laser, we report the first experimental observation of
group-velocity-locked vector soliton (GVLVS) molecules. The
birefringence-enhanced fiber laser facilitates th... | 0 | 1 | 0 | 0 | 0 | 0 |
Survey of Visual Question Answering: Datasets and Techniques | Visual question answering (or VQA) is a new and exciting problem that
combines natural language processing and computer vision techniques. We present
a survey of the various datasets and models that have been used to tackle this
task. The first part of the survey details the various datasets for VQA and
compares them... | 1 | 0 | 0 | 0 | 0 | 0 |
Towards a Principled Integration of Multi-Camera Re-Identification and Tracking through Optimal Bayes Filters | With the rise of end-to-end learning through deep learning, person detectors
and re-identification (ReID) models have recently become very strong.
Multi-camera multi-target (MCMT) tracking has not fully gone through this
transformation yet. We intend to take another step in this direction by
presenting a theoreticall... | 1 | 0 | 0 | 0 | 0 | 0 |
Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline | From medical charts to national census, healthcare has traditionally operated
under a paper-based paradigm. However, the past decade has marked a long and
arduous transformation bringing healthcare into the digital age. Ranging from
electronic health records, to digitized imaging and laboratory reports, to
public hea... | 1 | 0 | 0 | 1 | 0 | 0 |
Redundant Perception and State Estimation for Reliable Autonomous Racing | In autonomous racing, vehicles operate close to the limits of handling and a
sensor failure can have critical consequences. To limit the impact of such
failures, this paper presents the redundant perception and state estimation
approaches developed for an autonomous race car. Redundancy in perception is
achieved by e... | 1 | 0 | 0 | 0 | 0 | 0 |
Experimental study of extrinsic spin Hall effect in CuPt alloy | We have experimentally studied the effects on the spin Hall angle due to
systematic addition of Pt into the light metal Cu. We perform spin torque
ferromagnetic resonance measurements on Py/CuPt bilayer and find that as the Pt
concentration increases, the spin Hall angle of CuPt alloy increases. Moreover,
only 28% Pt... | 0 | 1 | 0 | 0 | 0 | 0 |
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm | Deep neural networks (DNNs) have begun to have a pervasive impact on various
applications of machine learning. However, the problem of finding an optimal
DNN architecture for large applications is challenging. Common approaches go
for deeper and larger DNN architectures but may incur substantial redundancy.
To addres... | 1 | 0 | 0 | 0 | 0 | 0 |
Resonant Drag Instabilities in protoplanetary disks: the streaming instability and new, faster-growing instabilities | We identify and study a number of new, rapidly growing instabilities of dust
grains in protoplanetary disks, which may be important for planetesimal
formation. The study is based on the recognition that dust-gas mixtures are
generically unstable to a Resonant Drag Instability (RDI), whenever the gas,
absent dust, sup... | 0 | 1 | 0 | 0 | 0 | 0 |
Nonparametric Neural Networks | Automatically determining the optimal size of a neural network for a given
task without prior information currently requires an expensive global search
and training many networks from scratch. In this paper, we address the problem
of automatically finding a good network size during a single training cycle. We
introdu... | 1 | 0 | 0 | 0 | 0 | 0 |
FastTrack: Minimizing Stalls for CDN-based Over-the-top Video Streaming Systems | Traffic for internet video streaming has been rapidly increasing and is
further expected to increase with the higher definition videos and IoT
applications, such as 360 degree videos and augmented virtual reality
applications. While efficient management of heterogeneous cloud resources to
optimize the quality of expe... | 1 | 0 | 0 | 0 | 0 | 0 |
Powerful statistical inference for nested data using sufficient summary statistics | Hierarchically-organized data arise naturally in many psychology and
neuroscience studies. As the standard assumption of independent and identically
distributed samples does not hold for such data, two important problems are to
accurately estimate group-level effect sizes, and to obtain powerful
statistical tests aga... | 0 | 0 | 1 | 1 | 0 | 0 |
Beam-On-Graph: Simultaneous Channel Estimation for mmWave MIMO Systems with Multiple Users | This paper is concerned with the channel estimation problem in multi-user
millimeter wave (mmWave) wireless systems with large antenna arrays. We develop
a novel simultaneous-estimation with iterative fountain training (SWIFT)
framework, in which multiple users estimate their channels at the same time and
the require... | 1 | 0 | 1 | 0 | 0 | 0 |
On Comparison Of Experts | A policy maker faces a sequence of unknown outcomes. At each stage two
(self-proclaimed) experts provide probabilistic forecasts on the outcome in the
next stage. A comparison test is a protocol for the policy maker to
(eventually) decide which of the two experts is better informed. The protocol
takes as input the se... | 1 | 0 | 1 | 0 | 0 | 0 |
Multiscale simulation on shearing transitions of thin-film lubrication with multi-layer molecules | Shearing transitions of multi-layer molecularly thin-film lubrication systems
in variations of the film-substrate coupling strength and the load are studied
by using a multiscale method. Three kinds of the interlayer slips found in
decreasing the coupling strength are in qualitative agreement with experimental
result... | 0 | 1 | 0 | 0 | 0 | 0 |
Chirality-induced Antisymmetry in Magnetic Domain-Wall Speed | In chiral magnetic materials, numerous intriguing phenomena such as built in
chiral magnetic domain walls (DWs) and skyrmions are generated by the
Dzyaloshinskii Moriya interaction (DMI). The DMI also results in asymmetric DW
speed under in plane magnetic field, which provides a useful scheme to measure
the DMI stren... | 0 | 1 | 0 | 0 | 0 | 0 |
Strong interaction between graphene layer and Fano resonance in terahertz metamaterials | Graphene has emerged as a promising building block in the modern optics and
optoelectronics due to its novel optical and electrical properties. In the
mid-infrared and terahertz (THz) regime, graphene behaves like metals and
supports surface plasmon resonances (SPRs). Moreover, the continuously tunable
conductivity o... | 0 | 1 | 0 | 0 | 0 | 0 |
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks | Transfer learning through fine-tuning a pre-trained neural network with an
extremely large dataset, such as ImageNet, can significantly accelerate
training while the accuracy is frequently bottlenecked by the limited dataset
size of the new target task. To solve the problem, some regularization methods,
constraining ... | 1 | 0 | 0 | 1 | 0 | 0 |
The Burst Failure Influence on the $H_\infty$ Norm | In this work, we present an analysis of the Burst failure effect in the
$H_\infty$ norm. We present a procedure to perform an analysis between
different Markov Chain models and a numerical example. In the numerical example
the results obtained pointed out that the burst failure effect in the
performance does not exce... | 1 | 0 | 0 | 0 | 0 | 0 |
Cosmological Simulations in Exascale Era | The architecture of Exascale computing facilities, which involves millions of
heterogeneous processing units, will deeply impact on scientific applications.
Future astrophysical HPC applications must be designed to make such computing
systems exploitable. The ExaNeSt H2020 EU-funded project aims to design and
develop... | 1 | 1 | 0 | 0 | 0 | 0 |
Time evolution of the Luttinger model with nonuniform temperature profile | We study the time evolution of a one-dimensional interacting fermion system
described by the Luttinger model starting from a nonequilibrium state defined
by a smooth temperature profile $T(x)$. As a specific example we consider the
case when $T(x)$ is equal to $T_L$ ($T_R$) far to the left (right). Using a
series exp... | 0 | 1 | 1 | 0 | 0 | 0 |
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm | The game of chess is the most widely-studied domain in the history of
artificial intelligence. The strongest programs are based on a combination of
sophisticated search techniques, domain-specific adaptations, and handcrafted
evaluation functions that have been refined by human experts over several
decades. In contra... | 1 | 0 | 0 | 0 | 0 | 0 |
Some remarks on Huisken's monotonicity formula for mean curvature flow | We discuss a monotone quantity related to Huisken's monotonicity formula and
some technical consequences for mean curvature flow.
| 0 | 0 | 1 | 0 | 0 | 0 |
Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors | We consider forecasting a single time series using high-dimensional
predictors in the presence of a possible nonlinear forecast function. The
sufficient forecasting (Fan et al., 2016) used sliced inverse regression to
estimate lower-dimensional sufficient indices for nonparametric forecasting
using factor models. How... | 0 | 0 | 1 | 1 | 0 | 0 |
Spectral energy distribution and radio halo of NGC 253 at low radio frequencies | We present new radio continuum observations of NGC253 from the Murchison
Widefield Array at frequencies between 76 and 227 MHz. We model the broadband
radio spectral energy distribution for the total flux density of NGC253 between
76 MHz and 11 GHz. The spectrum is best described as a sum of central starburst
and ext... | 0 | 1 | 0 | 0 | 0 | 0 |
Emergent Phases of Fractonic Matter | Fractons are emergent particles which are immobile in isolation, but which
can move together in dipolar pairs or other small clusters. These exotic
excitations naturally occur in certain quantum phases of matter described by
tensor gauge theories. Previous research has focused on the properties of small
numbers of fr... | 0 | 1 | 0 | 0 | 0 | 0 |
Fractional Volterra Hierarchy | The generating function of cubic Hodge integrals satisfying the local
Calabi-Yau condition is conjectured to be a tau function of a new integrable
system which can be regarded as a fractional generalization of the Volterra
lattice hierarchy, so we name it the fractional Volterra hierarchy. In this
paper, we give the ... | 0 | 1 | 1 | 0 | 0 | 0 |
Deorbitalization strategies for meta-GGA exchange-correlation functionals | We explore the simplification of widely used meta-generalized-gradient
approximation (mGGA) exchange-correlation functionals to the Laplacian level of
refinement by use of approximate kinetic energy density functionals (KEDFs).
Such deorbitalization is motivated by the prospect of reducing computational
cost while re... | 0 | 1 | 0 | 0 | 0 | 0 |
Fast counting of medium-sized rooted subgraphs | We prove that counting copies of any graph $F$ in another graph $G$ can be
achieved using basic matrix operations on the adjacency matrix of $G$.
Moreover, the resulting algorithm is competitive for medium-sized $F$: our
algorithm recovers the best known complexity for rooted 6-clique counting and
improves on the bes... | 1 | 0 | 1 | 0 | 0 | 0 |
First-principles investigation of graphitic carbon nitride monolayer with embedded Fe atom | Density-functional theory calculations with spin-polarized generalized
gradient approximation and Hubbard $U$ correction is carried out to investigate
the mechanical, structural, electronic and magnetic properties of graphitic
heptazine with embedded $\mathrm{Fe}$ atom under bi-axial tensile strain and
applied perpen... | 0 | 1 | 0 | 0 | 0 | 0 |
Courant's Nodal Domain Theorem for Positivity Preserving Forms | We introduce a notion of nodal domains for positivity preserving forms. This
notion generalizes the classical ones for Laplacians on domains and on graphs.
We prove the Courant nodal domain theorem in this generalized setting using
purely analytical methods.
| 0 | 0 | 1 | 0 | 0 | 0 |
Intelligent Notification Systems: A Survey of the State of the Art and Research Challenges | Notifications provide a unique mechanism for increasing the effectiveness of
real-time information delivery systems. However, notifications that demand
users' attention at inopportune moments are more likely to have adverse effects
and might become a cause of potential disruption rather than proving beneficial
to use... | 1 | 0 | 0 | 0 | 0 | 0 |
Using Matching to Detect Infeasibility of Some Integer Programs | A novel matching based heuristic algorithm designed to detect specially
formulated infeasible zero-one IPs is presented. The algorithm input is a set
of nested doubly stochastic subsystems and a set E of instance defining
variables set at zero level. The algorithm deduces additional variables at zero
level until eith... | 1 | 0 | 0 | 0 | 0 | 0 |
α7 nicotinic acetylcholine receptor signaling modulates ovine fetal brain astrocytes transcriptome in response to endotoxin: comparison to microglia, implications for prenatal stress and development of autism spectrum disorder | Neuroinflammation in utero may result in lifelong neurological disabilities.
Astrocytes play a pivotal role, but the mechanisms are poorly understood. No
early postnatal treatment strategies exist to enhance neuroprotective potential
of astrocytes. We hypothesized that agonism on {\alpha}7 nicotinic
acetylcholine rec... | 0 | 0 | 0 | 0 | 1 | 0 |
Face centered cubic and hexagonal close packed skyrmion crystals in centro-symmetric magnets | Skyrmions are disk-like objects that typically form triangular crystals in
two dimensional systems. This situation is analogous to the so-called "pancake
vortices" of quasi-two dimensional superconductors. The way in which skyrmion
disks or pancake skyrmions pile up in layered centro-symmetric materials is
dictated b... | 0 | 1 | 0 | 0 | 0 | 0 |
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search | Deep convolution neural networks demonstrate impressive results in the
super-resolution domain. A series of studies concentrate on improving peak
signal noise ratio (PSNR) by using much deeper layers, which are not friendly
to constrained resources. Pursuing a trade-off between the restoration capacity
and the simpli... | 1 | 0 | 0 | 0 | 0 | 0 |
Robbins-Monro conditions for persistent exploration learning strategies | We formulate simple assumptions, implying the Robbins-Monro conditions for
the $Q$-learning algorithm with the local learning rate, depending on the
number of visits of a particular state-action pair (local clock) and the number
of iteration (global clock). It is assumed that the Markov decision process is
communicat... | 0 | 0 | 0 | 1 | 0 | 0 |
Localization in the Disordered Holstein model | The Holstein model describes the motion of a tight-binding tracer particle
interacting with a field of quantum harmonic oscillators. We consider this
model with an on-site random potential. Provided the hopping amplitude for the
particle is small, we prove localization for matrix elements of the resolvent,
in particl... | 0 | 1 | 1 | 0 | 0 | 0 |
Universal Planning Networks | A key challenge in complex visuomotor control is learning abstract
representations that are effective for specifying goals, planning, and
generalization. To this end, we introduce universal planning networks (UPN).
UPNs embed differentiable planning within a goal-directed policy. This planning
computation unrolls a f... | 1 | 0 | 0 | 1 | 0 | 0 |
Adversarial Removal of Demographic Attributes from Text Data | Recent advances in Representation Learning and Adversarial Training seem to
succeed in removing unwanted features from the learned representation. We show
that demographic information of authors is encoded in -- and can be recovered
from -- the intermediate representations learned by text-based neural
classifiers. Th... | 0 | 0 | 0 | 1 | 0 | 0 |
Superradiance phase transition in the presence of parameter fluctuations | We theoretically analyze the effect of parameter fluctuations on the
superradiance phase transition in a setup where a large number of
superconducting qubits are coupled to a single cavity. We include parameter
fluctuations that are typical of superconducting architectures, such as
fluctuations in qubit gaps, bias po... | 0 | 1 | 0 | 0 | 0 | 0 |
A Decision Support Method for Recommending Degrees of Exploration in Exploratory Testing | Exploratory testing is neither black nor white, but rather a continuum of
exploration exists. In this research we propose an approach for decision
support helping practitioners to distribute time between different degrees of
exploratory testing on that continuum. To make the continuum manageable, five
levels have bee... | 1 | 0 | 0 | 0 | 0 | 0 |
Quantum Field Theory and Coalgebraic Logic in Theoretical Computer Science | In this paper we suggest that in the framework of the Category Theory it is
possible to demonstrate the mathematical and logical \textit{dual equivalence}
between the category of the $q$-deformed Hopf Coalgebras and the category of
the $q$-deformed Hopf Algebras in QFT, interpreted as a thermal field theory.
Each pai... | 1 | 0 | 1 | 0 | 0 | 0 |
Spatiotemporal Prediction of Ambulance Demand using Gaussian Process Regression | Accurately predicting when and where ambulance call-outs occur can reduce
response times and ensure the patient receives urgent care sooner. Here we
present a novel method for ambulance demand prediction using Gaussian process
regression (GPR) in time and geographic space. The method exhibits superior
accuracy to MED... | 0 | 0 | 0 | 1 | 0 | 0 |
ArchiveWeb: collaboratively extending and exploring web archive collections - How would you like to work with your collections? | Curated web archive collections contain focused digital content which is
collected by archiving organizations, groups, and individuals to provide a
representative sample covering specific topics and events to preserve them for
future exploration and analysis. In this paper, we discuss how to best support
collaborativ... | 1 | 0 | 0 | 0 | 0 | 0 |
gl2vec: Learning Feature Representation Using Graphlets for Directed Networks | Learning network representations has a variety of applications, such as
network classification. Most existing work in this area focuses on static
undirected networks and do not account for presence of directed edges or
temporarily changes. Furthermore, most work focuses on node representations
that do poorly on tasks... | 1 | 0 | 0 | 0 | 0 | 0 |
Evidence of s-wave superconductivity in the noncentrosymmetric La$_7$Ir$_3$ | Superconductivity in noncentrosymmetric compounds has attracted sustained
interest in the last decades. Here we present a detailed study on the
transport, thermodynamic properties and the band structure of the
noncentrosymmetric superconductor La$_7$Ir$_3$ ($T_c$ $\sim$2.3 K) that was
recently proposed to break the t... | 0 | 1 | 0 | 0 | 0 | 0 |
Essential Dimension of Generic Symbols in Characteristic p | In this article the $p$-essential dimension of generic symbols over fields of
characteristic $p$ is studied. In particular, the $p$-essential dimension of
the length $\ell$ generic $p$-symbol of degree $n+1$ is bounded below by
$n+\ell$ when the base field is algebraically closed of characteristic $p$. The
proof uses... | 0 | 0 | 1 | 0 | 0 | 0 |
Ask less - Scale Market Research without Annoying Your Customers | Market research is generally performed by surveying a representative sample
of customers with questions that includes contexts such as psycho-graphics,
demographics, attitude and product preferences. Survey responses are used to
segment the customers into various groups that are useful for targeted
marketing and comm... | 1 | 0 | 0 | 1 | 0 | 0 |
Adaptive Regularized Newton Method for Riemannian Optimization | Optimization on Riemannian manifolds widely arises in eigenvalue computation,
density functional theory, Bose-Einstein condensates, low rank nearest
correlation, image registration, and signal processing, etc. We propose an
adaptive regularized Newton method which approximates the original objective
function by the s... | 0 | 0 | 1 | 0 | 0 | 0 |
MPC meets SNA: A Privacy Preserving Analysis of Distributed Sensitive Social Networks | In this paper, we formalize the notion of distributed sensitive social
networks (DSSNs), which encompasses networks like enmity networks, financial
transaction networks, supply chain networks and sexual relationship networks.
Compared to the well studied traditional social networks, DSSNs are often more
challenging t... | 1 | 0 | 0 | 0 | 0 | 0 |
Lossy Image Compression with Compressive Autoencoders | We propose a new approach to the problem of optimizing autoencoders for lossy
image compression. New media formats, changing hardware technology, as well as
diverse requirements and content types create a need for compression algorithms
which are more flexible than existing codecs. Autoencoders have the potential
to ... | 1 | 0 | 0 | 1 | 0 | 0 |
A cost effective and reliable environment monitoring system for HPC applications | We present a slow control system to gather all relevant environment
information necessary to effectively and reliably run an HPC (High Performance
Computing) system at a high value over price ratio. The scalable and reliable
overall concept is presented as well as a newly developed hardware device for
sensor read out... | 1 | 0 | 0 | 0 | 0 | 0 |
Quenching the Kitaev honeycomb model | I studied the non-equilibrium response of an initial Néel state under
time evolution with the Kitaev honeycomb model. This time evolution can be
computed using a random sampling over all relevant flux configurations. With
isotropic interactions the system quickly equilibrates into a steady state
valence bond solid. A... | 0 | 1 | 0 | 0 | 0 | 0 |
Privacy-Preserving Adversarial Networks | We propose a data-driven framework for optimizing privacy-preserving data
release mechanisms toward the information-theoretically optimal tradeoff
between minimizing distortion of useful data and concealing sensitive
information. Our approach employs adversarially-trained neural networks to
implement randomized mecha... | 1 | 0 | 0 | 1 | 0 | 0 |
Antiferromagnetic structure and electronic properties of BaCr2As2 and BaCrFeAs2 | The chromium arsenides BaCr2As2 and BaCrFeAs2 with ThCr2Si2 type structure
(space group I4/mmm; also adopted by '122' iron arsenide superconductors) have
been suggested as mother compounds for possible new superconductors. DFT-based
calculations of the electronic structure evidence metallic antiferromagnetic
ground s... | 0 | 1 | 0 | 0 | 0 | 0 |
Molecular Modeling of the Microstructure Evolution during the Carbonization of PAN-Based Carbon Fibers | Development of high strength carbon fibers (CFs) requires an understanding of
the relationship between the processing conditions, microstructure and
resulting properties. We developed a molecular model that combines kinetic
Monte Carlo (KMC) and molecular dynamics (MD) techniques to predict the
microstructure evoluti... | 0 | 1 | 0 | 0 | 0 | 0 |
Hyperinflation | A model of cosmological inflation is proposed in which field space is a
hyperbolic plane. The inflaton never slow-rolls, and instead orbits the bottom
of the potential, buoyed by a centrifugal force. Though initial velocities
redshift away during inflation, in negatively curved spaces angular momentum
naturally start... | 0 | 1 | 0 | 0 | 0 | 0 |
Improving on Q & A Recurrent Neural Networks Using Noun-Tagging | Often, more time is spent on finding a model that works well, rather than
tuning the model and working directly with the dataset. Our research began as
an attempt to improve upon a simple Recurrent Neural Network for answering
"simple" first-order questions (QA-RNN), developed by Ferhan Ture and Oliver
Jojic, from Co... | 0 | 0 | 0 | 1 | 0 | 0 |
Injectivity and weak*-to-weak continuity suffice for convergence rates in $\ell^1$-regularization | We show that the convergence rate of $\ell^1$-regularization for linear
ill-posed equations is always $O(\delta)$ if the exact solution is sparse and
if the considered operator is injective and weak*-to-weak continuous. Under the
same assumptions convergence rates in case of non-sparse solutions are proven.
The resul... | 0 | 0 | 1 | 0 | 0 | 0 |
A Panel Prototype for the Mu2e Straw Tube Tracker at Fermilab | The Mu2e experiment will search for coherent, neutrino-less conversion of
muons into electrons in the Coulomb field of an aluminum nucleus with a
sensitivity of four orders of magnitude better than previous experiments. The
signature of this process is an electron with energy nearly equal to the muon
mass. Mu2e relie... | 0 | 1 | 0 | 0 | 0 | 0 |
A Review on Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano Things (IoNT) | The current prominence and future promises of the Internet of Things (IoT),
Internet of Everything (IoE) and Internet of Nano Things (IoNT) are extensively
reviewed and a summary survey report is presented. The analysis clearly
distinguishes between IoT and IoE which are wrongly considered to be the same
by many peop... | 1 | 0 | 0 | 0 | 0 | 0 |
Ensemble Adversarial Training: Attacks and Defenses | Adversarial examples are perturbed inputs designed to fool machine learning
models. Adversarial training injects such examples into training data to
increase robustness. To scale this technique to large datasets, perturbations
are crafted using fast single-step methods that maximize a linear approximation
of the mode... | 1 | 0 | 0 | 1 | 0 | 0 |
X-Ray bright optically faint active galactic nuclei in the Subaru Hyper Suprime-Cam wide survey | We construct a sample of X-ray bright optically faint active galactic nuclei
by combining Subaru Hyper Suprime-Cam, XMM-Newton, and infrared source
catalogs. 53 X-ray sources satisfying i band magnitude fainter than 23.5 mag
and X-ray counts with EPIC-PN detector larger than 70 are selected from 9.1
deg^2, and their ... | 0 | 1 | 0 | 0 | 0 | 0 |
The Goldman symplectic form on the PSL(V)-Hitchin component | This article is the second of a pair of articles about the Goldman symplectic
form on the PSL(V )-Hitchin component. We show that any ideal triangulation on
a closed connected surface of genus at least 2, and any compatible bridge
system determine a symplectic trivialization of the tangent bundle to the
Hitchin compo... | 0 | 0 | 1 | 0 | 0 | 0 |
Early Results from TUS, the First Orbital Detector of Extreme Energy Cosmic Rays | TUS is the world's first orbital detector of extreme energy cosmic rays
(EECRs), which operates as a part of the scientific payload of the Lomonosov
satellite since May 19, 2016. TUS employs the nocturnal atmosphere of the Earth
to register ultraviolet (UV) fluorescence and Cherenkov radiation from
extensive air show... | 0 | 1 | 0 | 0 | 0 | 0 |
Network-based methods for outcome prediction in the "sample space" | In this thesis we present the novel semi-supervised network-based algorithm
P-Net, which is able to rank and classify patients with respect to a specific
phenotype or clinical outcome under study. The peculiar and innovative
characteristic of this method is that it builds a network of samples/patients,
where the node... | 1 | 0 | 0 | 1 | 0 | 0 |
The geometrical origins of some distributions and the complete concentration of measure phenomenon for mean-values of functionals | We derive out naturally some important distributions such as high order
normal distributions and high order exponent distributions and the Gamma
distribution from a geometrical way. Further, we obtain the exact mean-values
of integral form functionals in the balls of continuous functions space with
$p-$norm, and show... | 0 | 0 | 1 | 1 | 0 | 0 |
The Signs in Elliptic Nets | We give a generalization of a theorem of Silverman and Stephens regarding the
signs in an elliptic divisibility sequence to the case of an elliptic net. We
also describe applications of this theorem in the study of the distribution of
the signs in elliptic nets and generating elliptic nets using the denominators
of t... | 0 | 0 | 1 | 0 | 0 | 0 |
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