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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A visual search engine for Bangladeshi laws | Browsing and finding relevant information for Bangladeshi laws is a challenge
faced by all law students and researchers in Bangladesh, and by citizens who
want to learn about any legal procedure. Some law archives in Bangladesh are
digitized, but lack proper tools to organize the data meaningfully. We present
a text ... | 1 | 0 | 0 | 1 | 0 | 0 |
Minors of two-connected graphs of large path-width | Let $P$ be a graph with a vertex $v$ such that $P\backslash v$ is a forest,
and let $Q$ be an outerplanar graph. We prove that there exists a number
$p=p(P,Q)$ such that every 2-connected graph of path-width at least $p$ has a
minor isomorphic to $P$ or $Q$. This result answers a question of Seymour and
implies a con... | 1 | 0 | 0 | 0 | 0 | 0 |
Computable Operations on Compact Subsets of Metric Spaces with Applications to Fréchet Distance and Shape Optimization | We extend the Theory of Computation on real numbers, continuous real
functions, and bounded closed Euclidean subsets, to compact metric spaces
$(X,d)$: thereby generically including computational and optimization problems
over higher types, such as the compact 'hyper' spaces of (i) nonempty closed
subsets of $X$ w.r.... | 1 | 0 | 1 | 0 | 0 | 0 |
Siamese Capsule Networks | Capsule Networks have shown encouraging results on \textit{defacto} benchmark
computer vision datasets such as MNIST, CIFAR and smallNORB. Although, they are
yet to be tested on tasks where (1) the entities detected inherently have more
complex internal representations and (2) there are very few instances per class
t... | 0 | 0 | 0 | 1 | 0 | 0 |
Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition | An adversarial attack is an exploitative process in which minute alterations
are made to natural inputs, causing the inputs to be misclassified by neural
models. In the field of speech recognition, this has become an issue of
increasing significance. Although adversarial attacks were originally
introduced in computer... | 1 | 0 | 0 | 0 | 0 | 0 |
Revisiting the cavity-method threshold for random 3-SAT | A detailed Monte Carlo-study of the satisfiability threshold for random 3-SAT
has been undertaken. In combination with a monotonicity assumption we find that
the threshold for random 3-SAT satisfies $\alpha_3 \leq 4.262$. If the
assumption is correct, this means that the actual threshold value for $k=3$ is
lower than... | 0 | 1 | 0 | 0 | 0 | 0 |
An improved Krylov eigenvalue strategy using the FEAST algorithm with inexact system solves | The FEAST eigenvalue algorithm is a subspace iteration algorithm that uses
contour integration in the complex plane to obtain the eigenvectors of a matrix
for the eigenvalues that are located in any user-defined search interval. By
computing small numbers of eigenvalues in specific regions of the complex
plane, FEAST... | 1 | 0 | 0 | 0 | 0 | 0 |
Planar magnetic structures in coronal mass ejection-driven sheath regions | Planar magnetic structures (PMSs) are periods in the solar wind during which
interplanetary magnetic field vectors are nearly parallel to a single plane.
One of the specific regions where PMSs have been reported are coronal mass
ejection (CME)-driven sheaths. We use here an automated method to identify PMSs
in 95 CME... | 0 | 1 | 0 | 0 | 0 | 0 |
Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks | The feature map obtained from the denoising autoencoder (DAE) is investigated
by determining transportation dynamics of the DAE, which is a cornerstone for
deep learning. Despite the rapid development in its application, deep neural
networks remain analytically unexplained, because the feature maps are nested
and par... | 1 | 0 | 0 | 1 | 0 | 0 |
Weighted Contrastive Divergence | Learning algorithms for energy based Boltzmann architectures that rely on
gradient descent are in general computationally prohibitive, typically due to
the exponential number of terms involved in computing the partition function.
In this way one has to resort to approximation schemes for the evaluation of
the gradien... | 0 | 0 | 0 | 1 | 0 | 0 |
Small-Scale Challenges to the $Λ$CDM Paradigm | The dark energy plus cold dark matter ($\Lambda$CDM) cosmological model has
been a demonstrably successful framework for predicting and explaining the
large-scale structure of Universe and its evolution with time. Yet on length
scales smaller than $\sim 1$ Mpc and mass scales smaller than $\sim 10^{11}
M_{\odot}$, th... | 0 | 1 | 0 | 0 | 0 | 0 |
Alternating minimization, scaling algorithms, and the null-cone problem from invariant theory | Alternating minimization heuristics seek to solve a (difficult) global
optimization task through iteratively solving a sequence of (much easier) local
optimization tasks on different parts (or blocks) of the input parameters.
While popular and widely applicable, very few examples of this heuristic are
rigorously show... | 1 | 0 | 0 | 0 | 0 | 0 |
Positivity of denominator vectors of cluster algebras | In this paper, we prove that positivity of denominator vectors holds for any
skew-symmetric cluster algebra.
| 0 | 0 | 1 | 0 | 0 | 0 |
Primordial Black Holes and Slow-Roll Violation | For primordial black holes (PBH) to be the dark matter in single-field
inflation, the slow-roll approximation must be violated by at least ${\cal
O}(1)$ in order to enhance the curvature power spectrum within the required
number of efolds between CMB scales and PBH mass scales. Power spectrum
predictions which rely o... | 0 | 1 | 0 | 0 | 0 | 0 |
Using Optimal Ratio Mask as Training Target for Supervised Speech Separation | Supervised speech separation uses supervised learning algorithms to learn a
mapping from an input noisy signal to an output target. With the fast
development of deep learning, supervised separation has become the most
important direction in speech separation area in recent years. For the
supervised algorithm, trainin... | 1 | 0 | 0 | 0 | 0 | 0 |
Volumetric parametrization from a level set boundary representation with PHT Splines | A challenge in isogeometric analysis is constructing analysis-suitable
volumetric meshes which can accurately represent the geometry of a given
physical domain. In this paper, we propose a method to derive a spline-based
representation of a domain of interest from voxel-based data. We show an
efficient way to obtain ... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Compressive Power of Deep Rectifier Networks for High Resolution Representation of Class Boundaries | This paper provides a theoretical justification of the superior
classification performance of deep rectifier networks over shallow rectifier
networks from the geometrical perspective of piecewise linear (PWL) classifier
boundaries. We show that, for a given threshold on the approximation error, the
required number of... | 1 | 0 | 0 | 1 | 0 | 0 |
Absolute spectroscopy near 7.8 μm with a comb-locked extended-cavity quantum-cascade-laser | We report the first experimental demonstration of frequency-locking of an
extended-cavity quantum-cascade-laser (EC-QCL) to a near-infrared frequency
comb. The locking scheme is applied to carry out absolute spectroscopy of N2O
lines near 7.87 {\mu}m with an accuracy of ~60 kHz. Thanks to a single mode
operation over... | 0 | 1 | 0 | 0 | 0 | 0 |
Some remarks on upper bounds for Weierstrass primary factors and their application in spectral theory | We study upper bounds on Weierstrass primary factors and discuss their
application in spectral theory. One of the main aims of this note is to draw
attention to works of Blumenthal and Denjoy from 1910, but we also provide some
new results and some numerical computations of our own.
| 0 | 0 | 1 | 0 | 0 | 0 |
Topology of polyhedral products over simplicial multiwedges | We prove that certain conditions on multigraded Betti numbers of a simplicial
complex $K$ imply existence of a higher Massey product in cohomology of a
moment-angle-complex $\mathcal Z_K$, which contains a unique element (a
strictly defined product). Using the simplicial multiwedge construction, we
find a family $\ma... | 0 | 0 | 1 | 0 | 0 | 0 |
Improved Representation Learning for Predicting Commonsense Ontologies | Recent work in learning ontologies (hierarchical and partially-ordered
structures) has leveraged the intrinsic geometry of spaces of learned
representations to make predictions that automatically obey complex structural
constraints. We explore two extensions of one such model, the order-embedding
model for hierarchic... | 1 | 0 | 0 | 1 | 0 | 0 |
Mesoporous Silica as a Carrier for Amorphous Solid Dispersion | In the past decade, the discovery of active pharmaceutical substances with
high therapeutic value but poor aqueous solubility has increased, thus making
it challenging to formulate these compounds as oral dosage forms. The
bioavailability of these drugs can be increased by formulating these drugs as
an amorphous drug... | 0 | 1 | 0 | 0 | 0 | 0 |
A Probability Monad as the Colimit of Finite Powers | We define and study a probability monad on the category of complete metric
spaces and short maps. It assigns to each space the space of Radon probability
measures on it with finite first moment, equipped with the
Kantorovich-Wasserstein distance. This monad is analogous to the Giry monad on
the category of Polish spa... | 1 | 0 | 0 | 0 | 0 | 0 |
Robust Optimal Design of Energy Efficient Series Elastic Actuators: Application to a Powered Prosthetic Ankle | Design of robotic systems that safely and efficiently operate in uncertain
operational conditions, such as rehabilitation and physical assistance robots,
remains an important challenge in the field. Current methods for the design of
energy efficient series elastic actuators use an optimization formulation that
typica... | 1 | 0 | 0 | 0 | 0 | 0 |
Subwavelength phononic bandgap opening in bubbly media | The aim of this paper is to show both analytically and numerically the
existence of a subwavelength phononic bandgap in bubble phononic crystals. The
key is an original formula for the quasi-periodic Minnaert resonance
frequencies of an arbitrarily shaped bubble. The main findings in this paper
are illustrated with a... | 0 | 0 | 1 | 0 | 0 | 0 |
Hybrid integration of solid-state quantum emitters on a silicon photonic chip | Scalable quantum photonic systems require efficient single photon sources
coupled to integrated photonic devices. Solid-state quantum emitters can
generate single photons with high efficiency, while silicon photonic circuits
can manipulate them in an integrated device structure. Combining these two
material platforms... | 0 | 1 | 0 | 0 | 0 | 0 |
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks | Tasks such as search and recommendation have become increas- ingly important
for E-commerce to deal with the information over- load problem. To meet the
diverse needs of di erent users, person- alization plays an important role. In
many large portals such as Taobao and Amazon, there are a bunch of di erent
types of s... | 0 | 0 | 0 | 1 | 0 | 0 |
Phase-diagram and dynamics of Rydberg-dressed fermions in two-dimensions | We investigate the ground-state properties and the collective modes of a
two-dimensional two-component Rydberg-dressed Fermi liquid in the
dipole-blockade regime. We find instability of the homogeneous system toward
phase separated and density ordered phases, using the Hartree-Fock and
random-phase approximations, re... | 0 | 1 | 0 | 0 | 0 | 0 |
Ambient noise correlation-based imaging with moving sensors | Waves can be used to probe and image an unknown medium. Passive imaging uses
ambient noise sources to illuminate the medium. This paper considers passive
imaging with moving sensors. The motivation is to generate large synthetic
apertures, which should result in enhanced resolution. However Doppler effects
and lack o... | 0 | 1 | 0 | 0 | 0 | 0 |
Anderson localization in the Non-Hermitian Aubry-André-Harper model with physical gain and loss | We investigate the Anderson localization in non-Hermitian
Aubry-André-Harper (AAH) models with imaginary potentials added to lattice
sites to represent the physical gain and loss during the interacting processes
between the system and environment. By checking the mean inverse participation
ratio (MIPR) of the system,... | 0 | 1 | 0 | 0 | 0 | 0 |
Towards de Sitter from 10D | Using a 10D lift of non-perturbative volume stabilization in type IIB string
theory we study the limitations for obtaining de Sitter vacua. Based on this we
find that the simplest KKLT vacua with a single Kahler modulus stabilized by a
gaugino condensate cannot be uplifted to de Sitter. Rather, the uplift flattens
ou... | 0 | 1 | 0 | 0 | 0 | 0 |
Incorporating genuine prior information about between-study heterogeneity in random effects pairwise and network meta-analyses | Background: Pairwise and network meta-analyses using fixed effect and random
effects models are commonly applied to synthesise evidence from randomised
controlled trials. The models differ in their assumptions and the
interpretation of the results. The model choice depends on the objective of the
analysis and knowled... | 0 | 0 | 0 | 1 | 0 | 0 |
Wasserstein Distributional Robustness and Regularization in Statistical Learning | A central question in statistical learning is to design algorithms that not
only perform well on training data, but also generalize to new and unseen data.
In this paper, we tackle this question by formulating a distributionally robust
stochastic optimization (DRSO) problem, which seeks a solution that minimizes
the ... | 1 | 0 | 0 | 1 | 0 | 0 |
InfiniteBoost: building infinite ensembles with gradient descent | In machine learning ensemble methods have demonstrated high accuracy for the
variety of problems in different areas. Two notable ensemble methods widely
used in practice are gradient boosting and random forests. In this paper we
present InfiniteBoost - a novel algorithm, which combines important properties
of these t... | 1 | 0 | 0 | 1 | 0 | 0 |
On-demand microwave generator of shaped single photons | We demonstrate the full functionality of a circuit that generates single
microwave photons on demand, with a wave packet that can be modulated with a
near-arbitrary shape. We achieve such a high tunability by coupling a
superconducting qubit near the end of a semi-infinite transmission line. A dc
superconducting quan... | 0 | 1 | 0 | 0 | 0 | 0 |
Fast and Stable Pascal Matrix Algorithms | In this paper, we derive a family of fast and stable algorithms for
multiplying and inverting $n \times n$ Pascal matrices that run in $O(n log^2
n)$ time and are closely related to De Casteljau's algorithm for Bézier curve
evaluation. These algorithms use a recursive factorization of the triangular
Pascal matrices a... | 1 | 0 | 0 | 0 | 0 | 0 |
Variational Continual Learning | This paper develops variational continual learning (VCL), a simple but
general framework for continual learning that fuses online variational
inference (VI) and recent advances in Monte Carlo VI for neural networks. The
framework can successfully train both deep discriminative models and deep
generative models in com... | 1 | 0 | 0 | 1 | 0 | 0 |
Dynamic adaptive procedures that control the false discovery rate | In the multiple testing problem with independent tests, the classical linear
step-up procedure controls the false discovery rate (FDR) at level
$\pi_0\alpha$, where $\pi_0$ is the proportion of true null hypotheses and
$\alpha$ is the target FDR level. Adaptive procedures can improve power by
incorporating estimates ... | 0 | 0 | 1 | 1 | 0 | 0 |
Compression-Based Regularization with an Application to Multi-Task Learning | This paper investigates, from information theoretic grounds, a learning
problem based on the principle that any regularity in a given dataset can be
exploited to extract compact features from data, i.e., using fewer bits than
needed to fully describe the data itself, in order to build meaningful
representations of a ... | 1 | 0 | 0 | 1 | 0 | 0 |
Isomorphism between Differential and Moment Invariants under Affine Transform | The invariant is one of central topics in science, technology and
engineering. The differential invariant is essential in understanding or
describing some important phenomena or procedures in mathematics, physics,
chemistry, biology or computer science etc. The derivation of differential
invariants is usually difficu... | 1 | 0 | 0 | 0 | 0 | 0 |
Throughput Analysis for Wavelet OFDM in Broadband Power Line Communications | Windowed orthogonal frequency-division multiplexing (OFDM) and wavelet OFDM
have been proposed as medium access techniques for broadband communications
over the power line network by the standard IEEE 1901. Windowed OFDM has been
extensively researched and employed in different fields of communication, while
wavelet ... | 1 | 0 | 0 | 0 | 0 | 0 |
Simple And Efficient Architecture Search for Convolutional Neural Networks | Neural networks have recently had a lot of success for many tasks. However,
neural network architectures that perform well are still typically designed
manually by experts in a cumbersome trial-and-error process. We propose a new
method to automatically search for well-performing CNN architectures based on a
simple h... | 1 | 0 | 0 | 1 | 0 | 0 |
Quantum estimation of detection efficiency with no-knowledge quantum feedback | We investigate that no-knowledge measurement-based feedback control is
utilized to obtain the estimation precision of the detection efficiency. For
the feedback operators that concern us, no-knowledge measurement is the optimal
way to estimate the detection efficiency. We show that the higher precision can
be achieve... | 1 | 0 | 0 | 0 | 0 | 0 |
Intermittent Granular Dynamics at a Seismogenic Plate Boundary | Earthquakes at seismogenic plate boundaries are a response to the
differential motions of tectonic blocks embedded within a geometrically complex
network of branching and coalescing faults. Elastic strain is accumulated at a
slow strain rate of the order of $10^{-15}$ s$^{-1}$, and released
intermittently at interval... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal continuous-time ALM for insurers: a martingale approach | We study a continuous-time asset-allocation problem for a firm in the
insurance industry that backs up the liabilities raised by the insurance
contracts with the underwriting profits and the income resulting from investing
in the financial market. Using the martingale approach and convex duality
techniques we charact... | 0 | 0 | 0 | 0 | 0 | 1 |
Combating Fake News: A Survey on Identification and Mitigation Techniques | The proliferation of fake news on social media has opened up new directions
of research for timely identification and containment of fake news, and
mitigation of its widespread impact on public opinion. While much of the
earlier research was focused on identification of fake news based on its
contents or by exploitin... | 1 | 0 | 0 | 1 | 0 | 0 |
A causal approach to analysis of censored medical costs in the presence of time-varying treatment | There has recently been a growing interest in the development of statistical
methods to compare medical costs between treatment groups. When cumulative cost
is the outcome of interest, right-censoring poses the challenge of informative
missingness due to heterogeneity in the rates of cost accumulation across
subjects... | 0 | 0 | 0 | 1 | 0 | 0 |
Inferring the parameters of a Markov process from snapshots of the steady state | We seek to infer the parameters of an ergodic Markov process from samples
taken independently from the steady state. Our focus is on non-equilibrium
processes, where the steady state is not described by the Boltzmann measure,
but is generally unknown and hard to compute, which prevents the application of
established ... | 0 | 1 | 0 | 1 | 0 | 0 |
What Does a TextCNN Learn? | TextCNN, the convolutional neural network for text, is a useful deep learning
algorithm for sentence classification tasks such as sentiment analysis and
question classification. However, neural networks have long been known as black
boxes because interpreting them is a challenging task. Researchers have
developed sev... | 0 | 0 | 0 | 1 | 0 | 0 |
The Wisdom of Polarized Crowds | As political polarization in the United States continues to rise, the
question of whether polarized individuals can fruitfully cooperate becomes
pressing. Although diversity of individual perspectives typically leads to
superior team performance on complex tasks, strong political perspectives have
been associated wit... | 1 | 0 | 0 | 1 | 0 | 0 |
Probabilistic Database Summarization for Interactive Data Exploration | We present a probabilistic approach to generate a small, query-able summary
of a dataset for interactive data exploration. Departing from traditional
summarization techniques, we use the Principle of Maximum Entropy to generate a
probabilistic representation of the data that can be used to give approximate
query answ... | 1 | 0 | 0 | 0 | 0 | 0 |
GP-GAN: Towards Realistic High-Resolution Image Blending | Recent advances in generative adversarial networks (GANs) have shown
promising potentials in conditional image generation. However, how to generate
high-resolution images remains an open problem. In this paper, we aim at
generating high-resolution well-blended images given composited copy-and-paste
ones, i.e. realist... | 1 | 0 | 0 | 0 | 0 | 0 |
Relational Autoencoder for Feature Extraction | Feature extraction becomes increasingly important as data grows high
dimensional. Autoencoder as a neural network based feature extraction method
achieves great success in generating abstract features of high dimensional
data. However, it fails to consider the relationships of data samples which may
affect experiment... | 0 | 0 | 0 | 1 | 0 | 0 |
Sentiment and Sarcasm Classification with Multitask Learning | Sentiment classification and sarcasm detection are both important NLP tasks.
We show that these two tasks are correlated, and present a multi-task
learning-based framework using deep neural network that models this correlation
to improve the performance of both tasks in a multi-task learning setting.
| 1 | 0 | 0 | 0 | 0 | 0 |
Context in Neural Machine Translation: A Review of Models and Evaluations | This review paper discusses how context has been used in neural machine
translation (NMT) in the past two years (2017-2018). Starting with a brief
retrospect on the rapid evolution of NMT models, the paper then reviews studies
that evaluate NMT output from various perspectives, with emphasis on those
analyzing limita... | 1 | 0 | 0 | 0 | 0 | 0 |
Manipulation of type-I and type-II Dirac points in PdTe2 superconductor by external pressure | A pair of type-II Dirac cones in PdTe$_2$ was recently predicted by theories
and confirmed in experiments, making PdTe$_2$ the first material that processes
both superconductivity and type-II Dirac fermions. In this work, we study the
evolution of Dirac cones in PdTe$_2$ under hydrostatic pressure by the
first-princi... | 0 | 1 | 0 | 0 | 0 | 0 |
A fast Metropolis-Hastings method for generating random correlation matrices | We propose a novel Metropolis-Hastings algorithm to sample uniformly from the
space of correlation matrices. Existing methods in the literature are based on
elaborated representations of a correlation matrix, or on complex
parametrizations of it. By contrast, our method is intuitive and simple, based
the classical Ch... | 0 | 0 | 0 | 1 | 0 | 0 |
Compact Groups analysis using weak gravitational lensing | We present a weak lensing analysis of a sample of SDSS Compact Groups (CGs).
Using the measured radial density contrast profile, we derive the average
masses under the assumption of spherical symmetry, obtaining a velocity
dispersion for the Singular Isothermal Spherical model, $\sigma_V = 270 \pm 40
\rm ~km~s^{-1}$,... | 0 | 1 | 0 | 0 | 0 | 0 |
An Applied Knowledge Framework to Study Complex Systems | The complexity of knowledge production on complex systems is well-known, but
there still lacks knowledge framework that would both account for a certain
structure of knowledge production at an epistemological level and be directly
applicable to the study and management of complex systems. We set a basis for
such a fr... | 1 | 1 | 0 | 0 | 0 | 0 |
Classifying subcategories in quotients of exact categories | We classify certain subcategories in quotients of exact categories. In
particular, we classify the triangulated and thick subcategories of an
algebraic triangulated category, i.e. the stable category of a Frobenius
category.
| 0 | 0 | 1 | 0 | 0 | 0 |
Dealing with Rational Second Order Ordinary Differential Equations where both Darboux and Lie Find It Difficult: The $S$-function Method | Here we present a new approach to search for first order invariants (first
integrals) of rational second order ordinary differential equations. This
method is an alternative to the Darbouxian and symmetry approaches. Our
procedure can succeed in many cases where these two approaches fail. We also
present here a Maple... | 1 | 0 | 0 | 0 | 0 | 0 |
Urban Vibrancy and Safety in Philadelphia | Statistical analyses of urban environments have been recently improved
through publicly available high resolution data and mapping technologies that
have been adopted across industries. These technologies allow us to create
metrics to empirically investigate urban design principles of the past
half-century. Philadelp... | 0 | 0 | 0 | 1 | 0 | 0 |
Exponential quadrature rules without order reduction | In this paper a technique is suggested to integrate linear initial boundary
value problems with exponential quadrature rules in such a way that the order
in time is as high as possible. A thorough error analysis is given for both the
classical approach of integrating the problem firstly in space and then in time
and ... | 0 | 0 | 1 | 0 | 0 | 0 |
New Derivatives for the Functions with the Fractal Tartan Support | In this manuscript, we generalize F-calculus to apply it on fractal Tartan
spaces. The generalized standard F-calculus is used to obtain the integral and
derivative of the functions on the fractal Tartan with different dimensions.
The generalized fractional derivatives have local properties that make it more
useful i... | 0 | 0 | 1 | 0 | 0 | 0 |
Learning Navigation Behaviors End to End | A longstanding goal of behavior-based robotics is to solve high-level
navigation tasks using end to end navigation behaviors that directly map
sensors to actions. Navigation behaviors, such as reaching a goal or following
a path without collisions, can be learned from exploration and interaction with
the environment,... | 1 | 0 | 0 | 0 | 0 | 0 |
Bounded Information Rate Variational Autoencoders | This paper introduces a new member of the family of Variational Autoencoders
(VAE) that constrains the rate of information transferred by the latent layer.
The latent layer is interpreted as a communication channel, the information
rate of which is bound by imposing a pre-set signal-to-noise ratio. The new
constraint... | 0 | 0 | 0 | 1 | 0 | 0 |
Wasan geometry with the division by 0 | Results in Wasan geometry of tangents circles can still be considered in a
singular case by the division by 0.
| 0 | 0 | 1 | 0 | 0 | 0 |
New insights into non-central beta distributions | The beta family owes its privileged status within unit interval distributions
to several relevant features such as, for example, easyness of interpretation
and versatility in modeling different types of data. However, its flexibility
at the unit interval endpoints is poor enough to prevent from properly modeling
the ... | 0 | 0 | 1 | 1 | 0 | 0 |
Mean Curvature Flows of Closed Hypersurfaces in Warped Product Manifolds | We investigate the mean curvature flows in a class of warped product
manifolds with closed hypersurfaces fibering over $\mathbb{R}$. In particular,
we prove that under natural conditions on the warping function and Ricci
curvature bound for the ambient space, there exists a large class of closed
initial hypersurfaces... | 0 | 0 | 1 | 0 | 0 | 0 |
Optimising finite-difference methods for PDEs through parameterised time-tiling in Devito | Finite-difference methods are widely used in solving partial differential
equations. In a large problem set, approximations can take days or weeks to
evaluate, yet the bulk of computation may occur within a single loop nest. The
modelling process for researchers is not straightforward either, requiring
models with di... | 1 | 0 | 0 | 0 | 0 | 0 |
An Ontology to support automated negotiation | In this work we propose an ontology to support automated negotiation in
multiagent systems. The ontology can be connected with some domain-specific
ontologies to facilitate the negotiation in different domains, such as
Intelligent Transportation Systems (ITS), e-commerce, etc. The specific
negotiation rules for each ... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks | We present a technique for efficiently synthesizing images of atmospheric
clouds using a combination of Monte Carlo integration and neural networks. The
intricacies of Lorenz-Mie scattering and the high albedo of cloud-forming
aerosols make rendering of clouds---e.g. the characteristic silverlining and
the "whiteness... | 1 | 0 | 0 | 1 | 0 | 0 |
On the Upward/Downward Closures of Petri Nets | We study the size and the complexity of computing finite state automata (FSA)
representing and approximating the downward and the upward closure of Petri net
languages with coverability as the acceptance condition. We show how to
construct an FSA recognizing the upward closure of a Petri net language in
doubly-expone... | 1 | 0 | 0 | 0 | 0 | 0 |
Semantic Similarity from Natural Language and Ontology Analysis | Artificial Intelligence federates numerous scientific fields in the aim of
developing machines able to assist human operators performing complex
treatments -- most of which demand high cognitive skills (e.g. learning or
decision processes). Central to this quest is to give machines the ability to
estimate the likenes... | 1 | 0 | 0 | 0 | 0 | 0 |
The Hardness of Synthesizing Elementary Net Systems from Highly Restricted Inputs | Elementary net systems (ENS) are the most fundamental class of Petri nets.
Their synthesis problem has important applications in the design of digital
hardware and commercial processes. Given a labeled transition system (TS) $A$,
feasibility is the NP-complete decision problem whether $A$ can be equivalently
synthesi... | 1 | 0 | 0 | 0 | 0 | 0 |
Exceptional Lattice Green's Functions | The three exceptional lattices, $E_6$, $E_7$, and $E_8$, have attracted much
attention due to their anomalously dense and symmetric structures which are of
critical importance in modern theoretical physics. Here, we study the
electronic band structure of a single spinless quantum particle hopping between
their neares... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal design with EGM approach in conjugate natural convection with surface radiation in a two-dimensional enclosure | Analysis of conjugate natural convection with surface radiation in a
two-dimensional enclosure is carried out in order to search the optimal
location of the heat source with entropy generation minimization (EGM) approach
and conventional heat transfer parameters. The air as an incompressible fluid
and transparent med... | 0 | 1 | 0 | 0 | 0 | 0 |
Convex cocompactness in pseudo-Riemannian hyperbolic spaces | Anosov representations of word hyperbolic groups into higher-rank semisimple
Lie groups are representations with finite kernel and discrete image that have
strong analogies with convex cocompact representations into rank-one Lie
groups. However, the most naive analogy fails: generically, Anosov
representations do not... | 0 | 0 | 1 | 0 | 0 | 0 |
A Closer Look at Memorization in Deep Networks | We examine the role of memorization in deep learning, drawing connections to
capacity, generalization, and adversarial robustness. While deep networks are
capable of memorizing noise data, our results suggest that they tend to
prioritize learning simple patterns first. In our experiments, we expose
qualitative differ... | 1 | 0 | 0 | 1 | 0 | 0 |
Hierarchical 3D fully convolutional networks for multi-organ segmentation | Recent advances in 3D fully convolutional networks (FCN) have made it
feasible to produce dense voxel-wise predictions of full volumetric images. In
this work, we show that a multi-class 3D FCN trained on manually labeled CT
scans of seven abdominal structures (artery, vein, liver, spleen, stomach,
gallbladder, and p... | 1 | 0 | 0 | 0 | 0 | 0 |
An evolutionary game model for behavioral gambit of loyalists: Global awareness and risk-aversion | We study the phase diagram of a minority game where three classes of agents
are present. Two types of agents play a risk-loving game that we model by the
standard Snowdrift Game. The behaviour of the third type of agents is coded by
{\em indifference} w.r.t. the game at all: their dynamics is designed to
account for ... | 0 | 0 | 0 | 0 | 1 | 0 |
The Minimum Euclidean-Norm Point on a Convex Polytope: Wolfe's Combinatorial Algorithm is Exponential | The complexity of Philip Wolfe's method for the minimum Euclidean-norm point
problem over a convex polytope has remained unknown since he proposed the
method in 1974. The method is important because it is used as a subroutine for
one of the most practical algorithms for submodular function minimization. We
present th... | 1 | 0 | 1 | 0 | 0 | 0 |
Constraints on a possible evolution of mass density power-law index in strong gravitational lensing from cosmological data | In this work, by using strong gravitational lensing (SGL) observations along
with Type Ia Supernovae (Union2.1) and gamma ray burst data (GRBs), we propose
a new method to study a possible redshift evolution of $\gamma(z)$, the mass
density power-law index of strong gravitational lensing systems. In this
analysis, we... | 0 | 1 | 0 | 0 | 0 | 0 |
The Strong Cell-based Hydrogen Peroxide Generation Triggered by Cold Atmospheric Plasma | Hydrogen peroxide (H2O2) is an important signaling molecule in cancer cells.
However, the significant secretion of H2O2 by cancer cells have been rarely
observed. Cold atmospheric plasma (CAP) is a near room temperature ionized gas
composed of neutral particles, charged particles, reactive species, and
electrons. Her... | 0 | 1 | 0 | 0 | 0 | 0 |
Theory of circadian metabolism | Many organisms repartition their proteome in a circadian fashion in response
to the daily nutrient changes in their environment. A striking example is
provided by cyanobacteria, which perform photosynthesis during the day to fix
carbon. These organisms not only face the challenge of rewiring their proteome
every 12 h... | 0 | 0 | 0 | 0 | 1 | 0 |
Rare-earth/transition-metal magnetic interactions in pristine and (Ni,Fe)-doped YCo5 and GdCo5 | We present an investigation into the intrinsic magnetic properties of the
compounds YCo5 and GdCo5, members of the RETM5 class of permanent magnets (RE =
rare earth, TM = transition metal). Focusing on Y and Gd provides direct
insight into both the TM magnetization and RE-TM interactions without the
complication of s... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimum weight chamber examples of moduli spaces of stable parabolic bundles in genus 0 | We present an explicit construction of the moduli spaces of rank 2 stable
parabolic bundles of parabolic degree 0 over the Riemann sphere, corresponding
to "optimum" open weight chambers of parabolic weights in the weight polytope.
The complexity of the different moduli space' weight chambers is understood in
terms o... | 0 | 0 | 1 | 0 | 0 | 0 |
Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model | We report the development and validation of a data-driven real-time risk
score that provides timely assessments for the clinical acuity of ward patients
based on their temporal lab tests and vital signs, which allows for timely
intensive care unit (ICU) admissions. Unlike the existing risk scoring
technologies, the p... | 1 | 0 | 0 | 0 | 0 | 0 |
X-View: Graph-Based Semantic Multi-View Localization | Global registration of multi-view robot data is a challenging task.
Appearance-based global localization approaches often fail under drastic
view-point changes, as representations have limited view-point invariance. This
work is based on the idea that human-made environments contain rich semantics
which can be used t... | 1 | 0 | 0 | 0 | 0 | 0 |
Local Hardy spaces with variable exponents associated to non-negative self-adjoint operators satisfying Gaussian estimates | In this paper we introduce variable exponent local Hardy spaces associated
with a non-negative self-adjoint operator L. We define them by using an area
square integral involving the heat semigroup associated to L. A molecular
characterization is established and as an aplication of the molecular
characterization we pr... | 0 | 0 | 1 | 0 | 0 | 0 |
Provable Inductive Robust PCA via Iterative Hard Thresholding | The robust PCA problem, wherein, given an input data matrix that is the
superposition of a low-rank matrix and a sparse matrix, we aim to separate out
the low-rank and sparse components, is a well-studied problem in machine
learning. One natural question that arises is that, as in the inductive
setting, if features a... | 1 | 0 | 0 | 1 | 0 | 0 |
The Topological Period-Index Problem over 8-Complexes | We study the Postnikov tower of the classifying space of a compact Lie group
P(n,mn), which gives obstructions to lifting a topological Brauer class of
period $n$ to a PU_{mn}-torsor, where the base space is a CW complex of
dimension 8. Combined with the study of a twisted version of Atiyah-Hirzebruch
spectral sequen... | 0 | 0 | 1 | 0 | 0 | 0 |
The Rise of Jihadist Propaganda on Social Networks | Using a dataset of over 1.9 million messages posted on Twitter by about
25,000 ISIS members, we explore how ISIS makes use of social media to spread
its propaganda and to recruit militants from the Arab world and across the
globe. By distinguishing between violence-driven, theological, and sectarian
content, we trace... | 1 | 1 | 0 | 0 | 0 | 0 |
Simulated performance of the production target for the Muon g-2 Experiment | The Muon g-2 Experiment plans to use the Fermilab Recycler Ring for forming
the proton bunches that hit its production target. The proposed scheme uses one
RF system, 80 kV of 2.5 MHz RF. In order to avoid bunch rotations in a
mismatched bucket, the 2.5 MHz is ramped adiabatically from 3 to 80 kV in 90
ms. In this st... | 0 | 1 | 0 | 0 | 0 | 0 |
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation | Collecting training data from the physical world is usually time-consuming
and even dangerous for fragile robots, and thus, recent advances in robot
learning advocate the use of simulators as the training platform.
Unfortunately, the reality gap between synthetic and real visual data prohibits
direct migration of the... | 1 | 0 | 0 | 0 | 0 | 0 |
On Fienup Methods for Regularized Phase Retrieval | Alternating minimization, or Fienup methods, have a long history in phase
retrieval. We provide new insights related to the empirical and theoretical
analysis of these algorithms when used with Fourier measurements and combined
with convex priors. In particular, we show that Fienup methods can be viewed as
performing... | 1 | 0 | 1 | 0 | 0 | 0 |
Coupling the reduced-order model and the generative model for an importance sampling estimator | In this work, we develop an importance sampling estimator by coupling the
reduced-order model and the generative model in a problem setting of
uncertainty quantification. The target is to estimate the probability that the
quantity of interest (QoI) in a complex system is beyond a given threshold. To
avoid the prohibi... | 1 | 0 | 0 | 1 | 0 | 0 |
Anomalous dynamical phase in quantum spin chains with long-range interactions | The existence or absence of non-analytic cusps in the Loschmidt-echo return
rate is traditionally employed to distinguish between a regular dynamical phase
(regular cusps) and a trivial phase (no cusps) in quantum spin chains after a
global quench. However, numerical evidence in a recent study [J. C. Halimeh and
V. Z... | 0 | 1 | 0 | 0 | 0 | 0 |
Cold keV dark matter from decays and scatterings | We explore ways of creating cold keV-scale dark matter by means of decays and
scatterings. The main observation is that certain thermal freeze-in processes
can lead to a cold dark matter distribution in regions with small available
phase space. In this way the free-streaming length of keV particles can be
suppressed ... | 0 | 1 | 0 | 0 | 0 | 0 |
Solving high-dimensional partial differential equations using deep learning | Developing algorithms for solving high-dimensional partial differential
equations (PDEs) has been an exceedingly difficult task for a long time, due to
the notoriously difficult problem known as the "curse of dimensionality". This
paper introduces a deep learning-based approach that can handle general
high-dimensiona... | 1 | 0 | 1 | 0 | 0 | 0 |
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