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 |
|---|---|---|---|---|---|---|---|
Objective Bayesian Analysis for Change Point Problems | In this paper we present a loss-based approach to change point analysis. In
particular, we look at the problem from two perspectives. The first focuses on
the definition of a prior when the number of change points is known a priori.
The second contribution aims to estimate the number of change points by using a
loss-... | 0 | 0 | 1 | 1 | 0 | 0 |
On the Mechanism of Large Amplitude Flapping of Inverted Foil in a Uniform Flow | An elastic foil interacting with a uniform flow with its trailing edge
clamped, also known as the inverted foil, exhibits a wide range of complex
self-induced flapping regimes such as large amplitude flapping (LAF), deformed
and flipped flapping. Here, we perform three-dimensional numerical experiments
to examine the... | 0 | 1 | 0 | 0 | 0 | 0 |
Ultrafast Epitaxial Growth of Metre-Sized Single-Crystal Graphene on Industrial Cu Foil | A foundation of the modern technology that uses single-crystal silicon has
been the growth of high-quality single-crystal Si ingots with diameters up to
12 inches or larger. For many applications of graphene, large-area high-quality
(ideally of single-crystal) material will be enabling. Since the first growth
on copp... | 0 | 1 | 0 | 0 | 0 | 0 |
Multidimensional Sampling of Isotropically Bandlimited Signals | A new lower bound on the average reconstruction error variance of
multidimensional sampling and reconstruction is presented. It applies to
sampling on arbitrary lattices in arbitrary dimensions, assuming a stochastic
process with constant, isotropically bandlimited spectrum and reconstruction by
the best linear inter... | 1 | 0 | 1 | 1 | 0 | 0 |
Asymptotic structure of almost eigenfunctions of drift Laplacians on conical ends | We use a weighted variant of the frequency functions introduced by Almgren to
prove sharp asymptotic estimates for almost eigenfunctions of the drift
Laplacian associated to the Gaussian weight on an asymptotically conical end.
As a consequence, we obtain a purely elliptic proof of a result of L. Wang on
the uniquene... | 0 | 0 | 1 | 0 | 0 | 0 |
Palomar Optical Spectrum of Hyperbolic Near-Earth Object A/2017 U1 | We present optical spectroscopy of the recently discovered hyperbolic
near-Earth object A/2017 U1, taken on 25 Oct 2017 at Palomar Observatory.
Although our data are at a very low signal-to-noise, they indicate a very red
surface at optical wavelengths without significant absorption features.
| 0 | 1 | 0 | 0 | 0 | 0 |
Electrically driven quantum light emission in electromechanically-tuneable photonic crystal cavities | A single quantum dot deterministically coupled to a photonic crystal
environment constitutes an indispensable elementary unit to both generate and
manipulate single-photons in next-generation quantum photonic circuits. To
date, the scaling of the number of these quantum nodes on a fully-integrated
chip has been preve... | 0 | 1 | 0 | 0 | 0 | 0 |
The Odyssey Approach for Optimizing Federated SPARQL Queries | Answering queries over a federation of SPARQL endpoints requires combining
data from more than one data source. Optimizing queries in such scenarios is
particularly challenging not only because of (i) the large variety of possible
query execution plans that correctly answer the query but also because (ii)
there is on... | 1 | 0 | 0 | 0 | 0 | 0 |
A variant of Gromov's problem on Hölder equivalence of Carnot groups | It is unknown if there exists a locally $\alpha$-Hölder homeomorphism
$f:\mathbb{R}^3\to \mathbb{H}^1$ for any $\frac{1}{2}< \alpha\le \frac{2}{3}$,
although the identity map $\mathbb{R}^3\to \mathbb{H}^1$ is locally
$\frac{1}{2}$-Hölder. More generally, Gromov asked: Given $k$ and a Carnot
group $G$, for which $\alp... | 0 | 0 | 1 | 0 | 0 | 0 |
The Trees of Hanoi | The game of the Towers of Hanoi is generalized to binary trees. First, a
straightforward solution of the game is discussed. Second, a shorter solution
is presented, which is then shown to be optimal.
| 1 | 0 | 1 | 0 | 0 | 0 |
On the risk of convex-constrained least squares estimators under misspecification | We consider the problem of estimating the mean of a noisy vector. When the
mean lies in a convex constraint set, the least squares projection of the
random vector onto the set is a natural estimator. Properties of the risk of
this estimator, such as its asymptotic behavior as the noise tends to zero,
have been well s... | 0 | 0 | 1 | 1 | 0 | 0 |
Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems | A good classification method should yield more accurate results than simple
heuristics. But there are classification problems, especially high-dimensional
ones like the ones based on image/video data, for which simple heuristics can
work quite accurately; the structure of the data in such problems is easy to
uncover ... | 0 | 0 | 0 | 1 | 0 | 0 |
On the Binary Lossless Many-Help-One Problem with Independently Degraded Helpers | Although the rate region for the lossless many-help-one problem with
independently degraded helpers is already "solved", its solution is given in
terms of a convex closure over a set of auxiliary random variables. Thus, for
any such a problem in particular, an optimization over the set of auxiliary
random variables i... | 1 | 0 | 0 | 0 | 0 | 0 |
Efficient Correlated Topic Modeling with Topic Embedding | Correlated topic modeling has been limited to small model and problem sizes
due to their high computational cost and poor scaling. In this paper, we
propose a new model which learns compact topic embeddings and captures topic
correlations through the closeness between the topic vectors. Our method
enables efficient i... | 1 | 0 | 0 | 1 | 0 | 0 |
Structure-aware error bounds for linear classification with the zero-one loss | We prove risk bounds for binary classification in high-dimensional settings
when the sample size is allowed to be smaller than the dimensionality of the
training set observations. In particular, we prove upper bounds for both
'compressive learning' by empirical risk minimization (ERM) (that is when the
ERM classifier... | 0 | 0 | 1 | 1 | 0 | 0 |
Dimensional reduction and the equivariant Chern character | We propose a dimensional reduction procedure in the Stolz--Teichner framework
of supersymmetric Euclidean field theories (EFTs) that is well-suited in the
presence of a finite gauge group or, more generally, for field theories over an
orbifold. As an illustration, we give a geometric interpretation of the Chern
chara... | 0 | 0 | 1 | 0 | 0 | 0 |
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions | We present a practical approach for processing mobile sensor time series data
for continual deep learning predictions. The approach comprises data cleaning,
normalization, capping, time-based compression, and finally classification with
a recurrent neural network. We demonstrate the effectiveness of the approach in
a... | 1 | 0 | 0 | 0 | 0 | 0 |
Formal Privacy for Functional Data with Gaussian Perturbations | Motivated by the rapid rise in statistical tools in Functional Data Analysis,
we consider the Gaussian mechanism for achieving differential privacy with
parameter estimates taking values in a, potentially infinite-dimensional,
separable Banach space. Using classic results from probability theory, we show
how densitie... | 0 | 0 | 1 | 1 | 0 | 0 |
An algorithm to reconstruct convex polyhedra from their face normals and areas | A well-known result in the study of convex polyhedra, due to Minkowski, is
that a convex polyhedron is uniquely determined (up to translation) by the
directions and areas of its faces. The theorem guarantees existence of the
polyhedron associated to given face normals and areas, but does not provide a
constructive wa... | 0 | 1 | 0 | 0 | 0 | 0 |
Electron affinities of water clusters from density-functional and many-body-perturbation theory | In this work, we assess the accuracy of dielectric-dependent hybrid density
functionals and many-body perturbation theory methods for the calculation of
electron affinities of small water clusters, including hydrogen-bonded water
dimer and water hexamer isomers. We show that many-body perturbation theory in
the G$_0$... | 0 | 1 | 0 | 0 | 0 | 0 |
Grid-converged Solution and Analysis of the Unsteady Viscous Flow in a Two-dimensional Shock Tube | The flow in a shock tube is extremely complex with dynamic multi-scale
structures of sharp fronts, flow separation, and vortices due to the
interaction of the shock wave, the contact surface, and the boundary layer over
the side wall of the tube. Prediction and understanding of the complex fluid
dynamics is of theore... | 0 | 1 | 0 | 0 | 0 | 0 |
Exact zero modes in twisted Kitaev chains | We study the Kitaev chain under generalized twisted boundary conditions, for
which both the amplitudes and the phases of the boundary couplings can be tuned
at will. We explicitly show the presence of exact zero modes for large chains
belonging to the topological phase in the most general case, in spite of the
absenc... | 0 | 1 | 0 | 0 | 0 | 0 |
Generative Temporal Models with Memory | We consider the general problem of modeling temporal data with long-range
dependencies, wherein new observations are fully or partially predictable based
on temporally-distant, past observations. A sufficiently powerful temporal
model should separate predictable elements of the sequence from unpredictable
elements, e... | 1 | 0 | 0 | 1 | 0 | 0 |
Global research collaboration: Networks and partners in South East Asia | This is an empirical paper that addresses the role of bilateral and
multilateral international co-authorships in the six leading science systems
among the ASEAN group of countries (ASEAN6). The paper highlights the different
ways that bilateral and multilateral co-authorships structure global networks
and the collabo... | 1 | 0 | 0 | 0 | 0 | 0 |
Spontaneous and stimulus-induced coherent states of dynamically balanced neuronal networks | How the information microscopically processed by individual neurons is
integrated and used in organising the macroscopic behaviour of an animal is a
central question in neuroscience. Coherence of dynamics over different scales
has been suggested as a clue to the mechanisms underlying this integration.
Balanced excita... | 0 | 1 | 0 | 0 | 0 | 0 |
Parallelized Kendall's Tau Coefficient Computation via SIMD Vectorized Sorting On Many-Integrated-Core Processors | Pairwise association measure is an important operation in data analytics.
Kendall's tau coefficient is one widely used correlation coefficient
identifying non-linear relationships between ordinal variables. In this paper,
we investigated a parallel algorithm accelerating all-pairs Kendall's tau
coefficient computatio... | 1 | 0 | 0 | 0 | 0 | 0 |
Effect of Blast Exposure on Gene-Gene Interactions | Repeated exposure to low-level blast may initiate a range of adverse health
problem such as traumatic brain injury (TBI). Although many studies
successfully identified genes associated with TBI, yet the cellular mechanisms
underpinning TBI are not fully elucidated. In this study, we investigated
underlying relationsh... | 0 | 0 | 0 | 0 | 1 | 0 |
A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields | Gaussian Markov random fields are used in a large number of disciplines in
machine vision and spatial statistics. The models take advantage of sparsity in
matrices introduced through the Markov assumptions, and all operations in
inference and prediction use sparse linear algebra operations that scale well
with dimens... | 0 | 0 | 0 | 1 | 0 | 0 |
Rational motivic path spaces and Kim's relative unipotent section conjecture | We initiate a study of path spaces in the nascent context of "motivic dga's",
under development in doctoral work by Gabriella Guzman. This enables us to
reconstruct the unipotent fundamental group of a pointed scheme from the
associated augmented motivic dga, and provides us with a factorization of Kim's
relative uni... | 0 | 0 | 1 | 0 | 0 | 0 |
Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions | In this paper we study the frequentist convergence rate for the Latent
Dirichlet Allocation (Blei et al., 2003) topic models. We show that the maximum
likelihood estimator converges to one of the finitely many equivalent
parameters in Wasserstein's distance metric at a rate of $n^{-1/4}$ without
assuming separability... | 1 | 0 | 0 | 1 | 0 | 0 |
Subspace Clustering of Very Sparse High-Dimensional Data | In this paper we consider the problem of clustering collections of very short
texts using subspace clustering. This problem arises in many applications such
as product categorisation, fraud detection, and sentiment analysis. The main
challenge lies in the fact that the vectorial representation of short texts is
both ... | 1 | 0 | 0 | 1 | 0 | 0 |
Quarnet inference rules for level-1 networks | An important problem in phylogenetics is the construction of phylogenetic
trees. One way to approach this problem, known as the supertree method,
involves inferring a phylogenetic tree with leaves consisting of a set $X$ of
species from a collection of trees, each having leaf-set some subset of $X$. In
the 1980's cha... | 1 | 0 | 0 | 0 | 0 | 0 |
21 cm Angular Power Spectrum from Minihalos as a Probe of Primordial Spectral Runnings | Measurements of 21 cm line fluctuations from minihalos have been discussed as
a powerful probe of a wide range of cosmological models. However, previous
studies have taken into account only the pixel variance, where contributions
from different scales are integrated. In order to sort out information from
different sc... | 0 | 1 | 0 | 0 | 0 | 0 |
The IRX-Beta Dust Attenuation Relation in Cosmological Galaxy Formation Simulations | We utilise a series of high-resolution cosmological zoom simulations of
galaxy formation to investigate the relationship between the ultraviolet (UV)
slope, beta, and the ratio of the infrared luminosity to UV luminosity (IRX) in
the spectral energy distributions (SEDs) of galaxies. We employ dust radiative
transfer ... | 0 | 1 | 0 | 0 | 0 | 0 |
Strict convexity of the Mabuchi functional for energy minimizers | There are two parts of this paper. First, we discovered an explicit formula
for the complex Hessian of the weighted log-Bergman kernel on a parallelogram
domain, and utilised this formula to give a new proof about the strict
convexity of the Mabuchi functional along a smooth geodesic. Second, when a
C^{1,1}-geodesic ... | 0 | 0 | 1 | 0 | 0 | 0 |
Anonymous Variables in Imperative Languages | In this paper, we bring anonymous variables into imperative languages.
Anonymous variables represent don't-care values and have proven useful in logic
programming. To bring the same level of benefits into imperative languages, we
describe an extension to C wth anonymous variables.
| 1 | 0 | 0 | 0 | 0 | 0 |
Simultaneously constraining the astrophysics of reionisation and the epoch of heating with 21CMMC | The cosmic 21 cm signal is set to revolutionise our understanding of the
early Universe, allowing us to probe the 3D temperature and ionisation
structure of the intergalactic medium (IGM). It will open a window onto the
unseen first galaxies, showing us how their UV and X-ray photons drove the
cosmic milestones of th... | 0 | 1 | 0 | 0 | 0 | 0 |
Non-penalized variable selection in high-dimensional linear model settings via generalized fiducial inference | Standard penalized methods of variable selection and parameter estimation
rely on the magnitude of coefficient estimates to decide which variables to
include in the final model. However, coefficient estimates are unreliable when
the design matrix is collinear. To overcome this challenge an entirely new
perspective on... | 0 | 0 | 0 | 1 | 0 | 0 |
DNN Filter Bank Cepstral Coefficients for Spoofing Detection | With the development of speech synthesis techniques, automatic speaker
verification systems face the serious challenge of spoofing attack. In order to
improve the reliability of speaker verification systems, we develop a new
filter bank based cepstral feature, deep neural network filter bank cepstral
coefficients (DN... | 1 | 0 | 0 | 0 | 0 | 0 |
The existence of positive least energy solutions for a class of Schrodinger-Poisson systems involving critical nonlocal term with general nonlinearity | The present study is concerned with the following Schrödinger-Poisson
system involving critical nonlocal term with general nonlinearity: $$ \left\{
\begin{array}{ll} -\Delta u+V(x)u- \phi |u|^3u= f(u), & x\in\mathbb{R}^3,
-\Delta \phi= |u|^5, & x\in\mathbb{R}^3,\\ \end{array} \right. $$ Under certain
assumptions on n... | 0 | 0 | 1 | 0 | 0 | 0 |
Up-down colorings of virtual-link diagrams and the necessity of Reidemeister moves of type II | We introduce an up-down coloring of a virtual-link diagram. The
colorabilities give a lower bound of the minimum number of Reidemeister moves
of type II which are needed between two 2-component virtual-link diagrams. By
using the notion of a quandle cocycle invariant, we determine the necessity of
Reidemeister moves ... | 0 | 0 | 1 | 0 | 0 | 0 |
Comparison of SMT and RBMT; The Requirement of Hybridization for Marathi-Hindi MT | We present in this paper our work on comparison between Statistical Machine
Translation (SMT) and Rule-based machine translation for translation from
Marathi to Hindi. Rule Based systems although robust take lots of time to
build. On the other hand statistical machine translation systems are easier to
create, maintai... | 1 | 0 | 0 | 0 | 0 | 0 |
Introduction to the Special Issue on Approaches to Control Biological and Biologically Inspired Networks | The emerging field at the intersection of quantitative biology, network
modeling, and control theory has enjoyed significant progress in recent years.
This Special Issue brings together a selection of papers on complementary
approaches to observe, identify, and control biological and biologically
inspired networks. T... | 1 | 0 | 0 | 0 | 1 | 0 |
Towards Classification of Web ontologies using the Horizontal and Vertical Segmentation | The new era of the Web is known as the semantic Web or the Web of data. The
semantic Web depends on ontologies that are seen as one of its pillars. The
bigger these ontologies, the greater their exploitation. However, when these
ontologies become too big other problems may appear, such as the complexity to
charge big... | 1 | 0 | 0 | 0 | 0 | 0 |
An Efficient Version of the Bombieri-Vaaler Lemma | In their celebrated paper "On Siegel's Lemma", Bombieri and Vaaler found an
upper bound on the height of integer solutions of systems of linear Diophantine
equations. Calculating the bound directly, however, requires exponential time.
In this paper, we present the bound in a different form that can be computed in
pol... | 1 | 0 | 1 | 0 | 0 | 0 |
Personalized and Private Peer-to-Peer Machine Learning | The rise of connected personal devices together with privacy concerns call
for machine learning algorithms capable of leveraging the data of a large
number of agents to learn personalized models under strong privacy
requirements. In this paper, we introduce an efficient algorithm to address the
above problem in a ful... | 1 | 0 | 0 | 1 | 0 | 0 |
Interacting Chaplygin gas revisited | The implications of considering interaction between Chaplygin gas and a
barotropic fluid with constant equation of state have been explored. The unique
feature of this work is that assuming an interaction $Q \propto H\rho_d$,
analytic expressions for the energy density and pressure have been derived in
terms of the H... | 0 | 1 | 0 | 0 | 0 | 0 |
GALARIO: a GPU Accelerated Library for Analysing Radio Interferometer Observations | We present GALARIO, a computational library that exploits the power of modern
graphical processing units (GPUs) to accelerate the analysis of observations
from radio interferometers like ALMA or the VLA. GALARIO speeds up the
computation of synthetic visibilities from a generic 2D model image or a radial
brightness p... | 0 | 1 | 0 | 0 | 0 | 0 |
Focused time-lapse inversion of radio and audio magnetotelluric data | Geoelectrical techniques are widely used to monitor groundwater processes,
while surprisingly few studies have considered audio (AMT) and radio (RMT)
magnetotellurics for such purposes. In this numerical investigation, we analyze
to what extent inversion results based on AMT and RMT monitoring data can be
improved by... | 0 | 1 | 0 | 0 | 0 | 0 |
Deep Exploration via Randomized Value Functions | We study the use of randomized value functions to guide deep exploration in
reinforcement learning. This offers an elegant means for synthesizing
statistically and computationally efficient exploration with common practical
approaches to value function learning. We present several reinforcement
learning algorithms th... | 1 | 0 | 0 | 1 | 0 | 0 |
Spectral Norm Regularization for Improving the Generalizability of Deep Learning | We investigate the generalizability of deep learning based on the sensitivity
to input perturbation. We hypothesize that the high sensitivity to the
perturbation of data degrades the performance on it. To reduce the sensitivity
to perturbation, we propose a simple and effective regularization method,
referred to as s... | 1 | 0 | 0 | 1 | 0 | 0 |
Estimating the chromospheric magnetic field from a revised NLTE modeling: the case of HR7428 | In this work we use the semi-empirical atmospheric modeling method to obtain
the chro-mospheric temperature, pressure, density and magnetic field
distribution versus height in the K2 primary component of the RS CVn binary
system HR 7428. While temperature, pressure, density are the standard output of
the semi-empiric... | 0 | 1 | 0 | 0 | 0 | 0 |
An accurate approximation formula for gamma function | In this paper, we present a very accurate approximation for gamma function:
\begin{equation*} \Gamma \left( x+1\right) \thicksim \sqrt{2\pi x}\left(
\dfrac{x}{e}\right) ^{x}\left( x\sinh \frac{1}{x}\right) ^{x/2}\exp \left(
\frac{7}{324}\frac{1}{ x^{3}\left( 35x^{2}+33\right) }\right) =W_{2}\left(
x\right) \end{equat... | 0 | 0 | 1 | 0 | 0 | 0 |
Reconciling Bayesian and Total Variation Methods for Binary Inversion | A central theme in classical algorithms for the reconstruction of
discontinuous functions from observational data is perimeter regularization. On
the other hand, sparse or noisy data often demands a probabilistic approach to
the reconstruction of images, to enable uncertainty quantification; the
Bayesian approach to ... | 0 | 0 | 1 | 1 | 0 | 0 |
Perception Driven Texture Generation | This paper investigates a novel task of generating texture images from
perceptual descriptions. Previous work on texture generation focused on either
synthesis from examples or generation from procedural models. Generating
textures from perceptual attributes have not been well studied yet. Meanwhile,
perceptual attri... | 1 | 0 | 0 | 0 | 0 | 0 |
Computational modeling approaches in gonadotropin signaling | Follicle-stimulating hormone (FSH) and luteinizing hormone (LH) play
essential roles in animal reproduction. They exert their function through
binding to their cognate receptors, which belong to the large family of G
protein-coupled receptors (GPCRs). This recognition at the plasma membrane
triggers a plethora of cel... | 0 | 0 | 0 | 0 | 1 | 0 |
SEP-Nets: Small and Effective Pattern Networks | While going deeper has been witnessed to improve the performance of
convolutional neural networks (CNN), going smaller for CNN has received
increasing attention recently due to its attractiveness for mobile/embedded
applications. It remains an active and important topic how to design a small
network while retaining t... | 1 | 0 | 0 | 0 | 0 | 0 |
Fundamental Limitations of Cavity-assisted Atom Interferometry | Atom interferometers employing optical cavities to enhance the beam splitter
pulses promise significant advances in science and technology, notably for
future gravitational wave detectors. Long cavities, on the scale of hundreds of
meters, have been proposed in experiments aiming to observe gravitational waves
with f... | 0 | 1 | 0 | 0 | 0 | 0 |
Markov chain aggregation and its application to rule-based modelling | Rule-based modelling allows to represent molecular interactions in a compact
and natural way. The underlying molecular dynamics, by the laws of stochastic
chemical kinetics, behaves as a continuous-time Markov chain. However, this
Markov chain enumerates all possible reaction mixtures, rendering the analysis
of the c... | 1 | 0 | 0 | 0 | 1 | 0 |
Shape and Positional Geometry of Multi-Object Configurations | In previous work, we introduced a method for modeling a configuration of
objects in 2D and 3D images using a mathematical "medial/skeletal linking
structure." In this paper, we show how these structures allow us to capture
positional properties of a multi-object configuration in addition to the shape
properties of th... | 1 | 0 | 0 | 0 | 0 | 0 |
Interface mediated mechanisms of plastic strain recovery in AgCu alloy | Through the combination of transmission electron microscopy analysis of the
deformed microstructure and molecular dynamics computer simulations of the
deformation processes, the mechanisms of plastic strain recovery in bulk AgCu
eutectic with either incoherent twin or cube-on-cube interfaces between the Ag
and Cu lay... | 0 | 1 | 0 | 0 | 0 | 0 |
Refounding legitimacy towards Aethogenesis | The fusion of humans and technology takes us into an unknown world described
by some authors as populated by quasi living species that would relegate us -
ordinary humans - to the rank of alienated agents emptied of our identity and
consciousness. I argue instead that our world is woven of simple though
invisible per... | 1 | 0 | 0 | 0 | 0 | 0 |
FELIX-2.0: New version of the finite element solver for the time dependent generator coordinate method with the Gaussian overlap approximation | The time-dependent generator coordinate method (TDGCM) is a powerful method
to study the large amplitude collective motion of quantum many-body systems
such as atomic nuclei. Under the Gaussian Overlap Approximation (GOA), the
TDGCM leads to a local, time-dependent Schrödinger equation in a
multi-dimensional collecti... | 0 | 1 | 0 | 0 | 0 | 0 |
Scattering in the energy space for Boussinesq equations | In this note we show that all small solutions in the energy space of the
generalized 1D Boussinesq equation must decay to zero as time tends to
infinity, strongly on slightly proper subsets of the space-time light cone. Our
result does not require any assumption on the power of the nonlinearity,
working even for the ... | 0 | 0 | 1 | 0 | 0 | 0 |
A Data-Driven Supply-Side Approach for Measuring Cross-Border Internet Purchases | The digital economy is a highly relevant item on the European Union's policy
agenda. Cross-border internet purchases are part of the digital economy, but
their total value can currently not be accurately measured or estimated.
Traditional approaches based on consumer surveys or business surveys are shown
to be inadeq... | 0 | 0 | 0 | 1 | 0 | 0 |
Low Rank Magnetic Resonance Fingerprinting | Purpose: Magnetic Resonance Fingerprinting (MRF) is a relatively new approach
that provides quantitative MRI measures using randomized acquisition.
Extraction of physical quantitative tissue parameters is performed off-line,
without the need of patient presence, based on acquisition with varying
parameters and a dict... | 1 | 1 | 0 | 0 | 0 | 0 |
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient | In this paper, we propose a StochAstic Recursive grAdient algoritHm (SARAH),
as well as its practical variant SARAH+, as a novel approach to the finite-sum
minimization problems. Different from the vanilla SGD and other modern
stochastic methods such as SVRG, S2GD, SAG and SAGA, SARAH admits a simple
recursive framew... | 1 | 0 | 1 | 1 | 0 | 0 |
A criterion related to the Riemann Hypothesis | A crucial role in the Nyman-Beurling-Báez-Duarte approach to the Riemann
Hypothesis is played by the distance \[
d_N^2:=\inf_{A_N}\frac{1}{2\pi}\int_{-\infty}^\infty\left|1-\zeta
A_N\left(\frac{1}{2}+it\right)\right|^2\frac{dt}{\frac{1}{4}+t^2}\:, \] where
the infimum is over all Dirichlet polynomials
$$A_N(s)=\sum_{... | 0 | 0 | 1 | 0 | 0 | 0 |
Non-Stationary Spectral Kernels | We propose non-stationary spectral kernels for Gaussian process regression.
We propose to model the spectral density of a non-stationary kernel function as
a mixture of input-dependent Gaussian process frequency density surfaces. We
solve the generalised Fourier transform with such a model, and present a family
of no... | 1 | 0 | 0 | 1 | 0 | 0 |
Spectral and Energy Efficiency of Uplink D2D Underlaid Massive MIMO Cellular Networks | One of key 5G scenarios is that device-to-device (D2D) and massive
multiple-input multiple-output (MIMO) will be co-existed. However, interference
in the uplink D2D underlaid massive MIMO cellular networks needs to be
coordinated, due to the vast cellular and D2D transmissions. To this end, this
paper introduces a sp... | 1 | 0 | 1 | 0 | 0 | 0 |
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations | Neural networks are among the most accurate supervised learning methods in
use today, but their opacity makes them difficult to trust in critical
applications, especially when conditions in training differ from those in test.
Recent work on explanations for black-box models has produced tools (e.g. LIME)
to show the ... | 1 | 0 | 0 | 1 | 0 | 0 |
The ANTARES Collaboration: Contributions to ICRC 2017 Part II: The multi-messenger program | Papers on the ANTARES multi-messenger program, prepared for the 35th
International Cosmic Ray Conference (ICRC 2017, Busan, South Korea) by the
ANTARES Collaboration
| 0 | 1 | 0 | 0 | 0 | 0 |
Hamiltonian structure of peakons as weak solutions for the modified Camassa-Holm equation | The modified Camassa-Holm (mCH) equation is a bi-Hamiltonian system
possessing $N$-peakon weak solutions, for all $N\geq 1$, in the setting of an
integral formulation which is used in analysis for studying local
well-posedness, global existence, and wave breaking for non-peakon solutions.
Unlike the original Camassa-... | 0 | 1 | 0 | 0 | 0 | 0 |
Orbital-dependent correlations in PuCoGa$_5$ | We investigate the normal state of the superconducting compound PuCoGa$_5$
using the combination of density functional theory (DFT) and dynamical mean
field theory (DMFT), with the continuous time quantum Monte Carlo (CTQMC) and
the vertex-corrected one-crossing approximation (OCA) as the impurity solvers.
Our DFT+DM... | 0 | 1 | 0 | 0 | 0 | 0 |
A variational derivation of the nonequilibrium thermodynamics of a moist atmosphere with rain process and its pseudoincompressible approximation | Irreversible processes play a major role in the description and prediction of
atmospheric dynamics. In this paper, we present a variational derivation of the
evolution equations for a moist atmosphere with rain process and subject to the
irreversible processes of viscosity, heat conduction, diffusion, and phase
trans... | 0 | 1 | 1 | 0 | 0 | 0 |
On certain weighted 7-colored partitions | Inspired by Andrews' 2-colored generalized Frobenius partitions, we consider
certain weighted 7-colored partition functions and establish some interesting
Ramanujan-type identities and congruences. Moreover, we provide combinatorial
interpretations of some congruences modulo 5 and 7. Finally, we study the
properties ... | 0 | 0 | 1 | 0 | 0 | 0 |
Employee turnover prediction and retention policies design: a case study | This paper illustrates the similarities between the problems of customer
churn and employee turnover. An example of employee turnover prediction model
leveraging classical machine learning techniques is developed. Model outputs
are then discussed to design \& test employee retention policies. This type of
retention d... | 1 | 0 | 0 | 1 | 0 | 0 |
Do You Want Your Autonomous Car To Drive Like You? | With progress in enabling autonomous cars to drive safely on the road, it is
time to start asking how they should be driving. A common answer is that they
should be adopting their users' driving style. This makes the assumption that
users want their autonomous cars to drive like they drive - aggressive drivers
want a... | 1 | 0 | 0 | 0 | 0 | 0 |
Now Playing: Continuous low-power music recognition | Existing music recognition applications require a connection to a server that
performs the actual recognition. In this paper we present a low-power music
recognizer that runs entirely on a mobile device and automatically recognizes
music without user interaction. To reduce battery consumption, a small music
detector ... | 1 | 0 | 0 | 0 | 0 | 0 |
COLA: Decentralized Linear Learning | Decentralized machine learning is a promising emerging paradigm in view of
global challenges of data ownership and privacy. We consider learning of linear
classification and regression models, in the setting where the training data is
decentralized over many user devices, and the learning algorithm must run
on-device... | 0 | 0 | 0 | 1 | 0 | 0 |
Improving the Expected Improvement Algorithm | The expected improvement (EI) algorithm is a popular strategy for information
collection in optimization under uncertainty. The algorithm is widely known to
be too greedy, but nevertheless enjoys wide use due to its simplicity and
ability to handle uncertainty and noise in a coherent decision theoretic
framework. To ... | 1 | 0 | 0 | 1 | 0 | 0 |
Performance Limits of Solutions to Network Utility Maximization Problems | We study performance limits of solutions to utility maximization problems
(e.g., max-min problems) in wireless networks as a function of the power budget
$\bar{p}$ available to transmitters. Special focus is devoted to the utility
and the transmit energy efficiency (i.e., utility over transmit power) of the
solution.... | 1 | 0 | 0 | 0 | 0 | 0 |
Toeplitz Order | A new approach to problems of the Uncertainty Principle in Harmonic Analysis,
based on the use of Toeplitz operators, has brought progress to some of the
classical problems in the area. The goal of this paper is to develop and
systematize the function theoretic component of the Toeplitz approach by
introducing a part... | 0 | 0 | 1 | 0 | 0 | 0 |
Definably compact groups definable in real closed fields. I | We study definably compact definably connected groups definable in a
sufficiently saturated real closed field $R$. We introduce the notion of
group-generic point for $\bigvee$-definable groups and show the existence of
group-generic points for definably compact groups definable in a sufficiently
saturated o-minimal e... | 0 | 0 | 1 | 0 | 0 | 0 |
The unreasonable effectiveness of small neural ensembles in high-dimensional brain | Despite the widely-spread consensus on the brain complexity, sprouts of the
single neuron revolution emerged in neuroscience in the 1970s. They brought
many unexpected discoveries, including grandmother or concept cells and sparse
coding of information in the brain.
In machine learning for a long time, the famous cur... | 0 | 0 | 0 | 0 | 1 | 0 |
Explicit cocycle formulas on finite abelian groups with applications to braided linear Gr-categories and Dijkgraaf-Witten invariants | We provide explicit and unified formulas for the cocycles of all degrees on
the normalized bar resolutions of finite abelian groups. This is achieved by
constructing a chain map from the normalized bar resolution to a Koszul-like
resolution for any given finite abelian group. With a help of the obtained
cocycle formu... | 0 | 0 | 1 | 0 | 0 | 0 |
Threshold Selection for Multivariate Heavy-Tailed Data | Regular variation is often used as the starting point for modeling
multivariate heavy-tailed data. A random vector is regularly varying if and
only if its radial part $R$ is regularly varying and is asymptotically
independent of the angular part $\Theta$ as $R$ goes to infinity. The
conditional limiting distribution ... | 0 | 0 | 1 | 1 | 0 | 0 |
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms | Deep learning (DL) has recently achieved tremendous success in a variety of
cutting-edge applications, e.g., image recognition, speech and natural language
processing, and autonomous driving. Besides the available big data and hardware
evolution, DL frameworks and platforms play a key role to catalyze the
research, d... | 1 | 0 | 0 | 0 | 0 | 0 |
On the complexity of topological conjugacy of compact metrizable $G$-ambits | In this note, we analyze the classification problem for compact metrizable
$G$-ambits for a countable discrete group $G$ from the point of view of
descriptive set theory. More precisely, we prove that the topological conjugacy
relation on the standard Borel space of compact metrizable $G$-ambits is Borel
for every co... | 0 | 0 | 1 | 0 | 0 | 0 |
Classical affine W-superalgebras via generalized Drinfeld-Sokolov reductions and related integrable systems | The purpose of this article is to investigate relations between
W-superalgebras and integrable super-Hamiltonian systems. To this end, we
introduce the generalized Drinfel'd-Sokolov (D-S) reduction associated to a Lie
superalgebra $g$ and its even nilpotent element $f$, and we find a new
definition of the classical a... | 0 | 0 | 1 | 0 | 0 | 0 |
Temporally Identity-Aware SSD with Attentional LSTM | Temporal object detection has attracted significant attention, but most
popular detection methods can not leverage the rich temporal information in
videos. Very recently, many different algorithms have been developed for video
detection task, but real-time online approaches are frequently deficient. In
this paper, ba... | 1 | 0 | 0 | 0 | 0 | 0 |
Carleman Estimate for Surface in Euclidean Space at Infinity | This paper develops a Carleman type estimate for immersed surface in
Euclidean space at infinity. With this estimate, we obtain an unique
continuation property for harmonic functions on immersed surfaces vanishing at
infinity, which leads to rigidity results in geometry.
| 0 | 0 | 1 | 0 | 0 | 0 |
Formalizing Timing Diagram Requirements in Discrete Duration Calulus | Several temporal logics have been proposed to formalise timing diagram
requirements over hardware and embedded controllers. These include LTL,
discrete time MTL and the recent industry standard PSL. However, succintness
and visual structure of a timing diagram are not adequately captured by their
formulae. Interval t... | 1 | 0 | 0 | 0 | 0 | 0 |
Cubical Covers of Sets in $\mathbb{R}^n$ | Wild sets in $\mathbb{R}^n$ can be tamed through the use of various
representations though sometimes this taming removes features considered
important. Finding the wildest sets for which it is still true that the
representations faithfully inform us about the original set is the focus of
this rather playful, exposito... | 0 | 0 | 1 | 0 | 0 | 0 |
Mitochondrial network fragmentation modulates mutant mtDNA accumulation independently of absolute fission-fusion rates | Mitochondrial DNA (mtDNA) mutations cause severe congenital diseases but may
also be associated with healthy aging. MtDNA is stochastically replicated and
degraded, and exists within organelles which undergo dynamic fusion and
fission. The role of the resulting mitochondrial networks in determining the
time evolution... | 0 | 0 | 0 | 0 | 1 | 0 |
Depth Separation for Neural Networks | Let $f:\mathbb{S}^{d-1}\times \mathbb{S}^{d-1}\to\mathbb{S}$ be a function of
the form $f(\mathbf{x},\mathbf{x}') = g(\langle\mathbf{x},\mathbf{x}'\rangle)$
for $g:[-1,1]\to \mathbb{R}$. We give a simple proof that shows that poly-size
depth two neural networks with (exponentially) bounded weights cannot
approximate ... | 1 | 0 | 0 | 1 | 0 | 0 |
An Accurate Interconnect Test Structure for Parasitic Validation in On-Chip Machine Learning Accelerators | For nanotechnology nodes, the feature size is shrunk rapidly, the wire
becomes narrow and thin, it leads to high RC parasitic, especially for
resistance. The overall system performance are dominated by interconnect rather
than device. As such, it is imperative to accurately measure and model
interconnect parasitic in... | 1 | 0 | 0 | 0 | 0 | 0 |
A New Compton-thick AGN in our Cosmic Backyard: Unveiling the Buried Nucleus in NGC 1448 with NuSTAR | NGC 1448 is one of the nearest luminous galaxies ($L_{8-1000\mu m} >$ 10$^{9}
L_{\odot}$) to ours ($z$ $=$ 0.00390), and yet the active galactic nucleus
(AGN) it hosts was only recently discovered, in 2009. In this paper, we present
an analysis of the nuclear source across three wavebands: mid-infrared (MIR)
continuu... | 0 | 1 | 0 | 0 | 0 | 0 |
Blowup constructions for Lie groupoids and a Boutet de Monvel type calculus | We present natural and general ways of building Lie groupoids, by using the
classical procedures of blowups and of deformations to the normal cone. Our
constructions are seen to recover many known ones involved in index theory. The
deformation and blowup groupoids obtained give rise to several extensions of
$C^*$-alg... | 0 | 0 | 1 | 0 | 0 | 0 |
Possible spin gapless semiconductor type behaviour in CoFeMnSi epitaxial thin films | Spin-gapless semiconductors with their unique band structures have recently
attracted much attention due to their interesting transport properties that can
be utilized in spintronics applications. We have successfully deposited the
thin films of quaternary spin-gapless semiconductor CoFeMnSi Heusler alloy on
MgO (001... | 0 | 1 | 0 | 0 | 0 | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.