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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Maximal fluctuations of confined actomyosin gels: dynamics of the cell nucleus | We investigate the effect of stress fluctuations on the stochastic dynamics
of an inclusion embedded in a viscous gel. We show that, in non-equilibrium
systems, stress fluctuations give rise to an effective attraction towards the
boundaries of the confining domain, which is reminiscent of an active Casimir
effect. We... | 0 | 1 | 0 | 0 | 0 | 0 |
Age-at-harvest models as monitoring and harvest management tools for Wisconsin carnivores | Quantifying and estimating wildlife population sizes is a foundation of
wildlife management. However, many carnivore species are cryptic, leading to
innate difficulties in estimating their populations. We evaluated the potential
for using more rigorous statistical models to estimate the populations of black
bears (Ur... | 0 | 0 | 0 | 0 | 1 | 0 |
Information Planning for Text Data | Information planning enables faster learning with fewer training examples. It
is particularly applicable when training examples are costly to obtain. This
work examines the advantages of information planning for text data by focusing
on three supervised models: Naive Bayes, supervised LDA and deep neural
networks. We... | 0 | 0 | 0 | 1 | 0 | 0 |
Development of Si-CMOS hybrid detectors towards electron tracking based Compton imaging in semiconductor detectors | Electron tracking based Compton imaging is a key technique to improve the
sensitivity of Compton cameras by measuring the initial direction of recoiled
electrons. To realize this technique in semiconductor Compton cameras, we
propose a new detector concept, Si-CMOS hybrid detector. It is a Si detector
bump-bonded to ... | 0 | 1 | 0 | 0 | 0 | 0 |
Sharp constant of an anisotropic Gagliardo-Nirenberg-type inequality and applications | In this paper we establish the best constant of an anisotropic
Gagliardo-Nirenberg-type inequality related to the
Benjamin-Ono-Zakharov-Kuznetsov equation. As an application of our results, we
prove the uniform bound of solutions for such a equation in the energy space.
| 0 | 0 | 1 | 0 | 0 | 0 |
Treatment Effect Quantification for Time-to-event Endpoints -- Estimands, Analysis Strategies, and beyond | A draft addendum to ICH E9 has been released for public consultation in
August 2017. The addendum focuses on two topics particularly relevant for
randomized confirmatory clinical trials: estimands and sensitivity analyses.
The need to amend ICH E9 grew out of the realization of a lack of alignment
between the objecti... | 0 | 0 | 0 | 1 | 0 | 0 |
A character of Siegel modular group of level 2 from theta constants | Given a characteristic, we define a character of the Siegel modular group of
level 2, the computations of their values are also obtained. By using our
theorems, some key theorems of Igusa [1] can be recovered.
| 0 | 0 | 1 | 0 | 0 | 0 |
Antiferromagnetic Chern insulators in non-centrosymmetric systems | We investigate a new class of topological antiferromagnetic (AF) Chern
insulators driven by electronic interactions in two-dimensional systems without
inversion symmetry. Despite the absence of a net magnetization, AF Chern
insulators (AFCI) possess a nonzero Chern number $C$ and exhibit the quantum
anomalous Hall ef... | 0 | 1 | 0 | 0 | 0 | 0 |
The concentration-mass relation of clusters of galaxies from the OmegaWINGS survey | The relation between a cosmological halo concentration and its mass (cMr) is
a powerful tool to constrain cosmological models of halo formation and
evolution. On the scale of galaxy clusters the cMr has so far been determined
mostly with X-ray and gravitational lensing data. The use of independent
techniques is helpf... | 0 | 1 | 0 | 0 | 0 | 0 |
Effects of the structural distortion on the electronic band structure of {\boldmath $\rm Na Os O_3$} studied within density functional theory and a three-orbital model | Effects of the structural distortion associated with the $\rm OsO_6$
octahedral rotation and tilting on the electronic band structure and magnetic
anisotropy energy for the $5d^3$ compound NaOsO$_3$ are investigated using the
density functional theory (DFT) and within a three-orbital model. Comparison of
the essentia... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Joint Distribution Of $\mathrm{Sel}_ϕ(E/\mathbb{Q})$ and $\mathrm{Sel}_{\hatϕ}(E^\prime/\mathbb{Q})$ in Quadratic Twist Families | If $E$ is an elliptic curve with a point of order two, then work of Klagsbrun
and Lemke Oliver shows that the distribution of
$\dim_{\mathbb{F}_2}\mathrm{Sel}_\phi(E^d/\mathbb{Q}) - \dim_{\mathbb{F}_2}
\mathrm{Sel}_{\hat\phi}(E^{\prime d}/\mathbb{Q})$ within the quadratic twist
family tends to the discrete normal dis... | 0 | 0 | 1 | 0 | 0 | 0 |
Learning What Data to Learn | Machine learning is essentially the sciences of playing with data. An
adaptive data selection strategy, enabling to dynamically choose different data
at various training stages, can reach a more effective model in a more
efficient way. In this paper, we propose a deep reinforcement learning
framework, which we call \... | 1 | 0 | 0 | 1 | 0 | 0 |
Deformation estimation of an elastic object by partial observation using a neural network | Deformation estimation of elastic object assuming an internal organ is
important for the computer navigation of surgery. The aim of this study is to
estimate the deformation of an entire three-dimensional elastic object using
displacement information of very few observation points. A learning approach
with a neural n... | 1 | 0 | 0 | 1 | 0 | 0 |
Comparative analysis of two discretizations of Ricci curvature for complex networks | We have performed an empirical comparison of two distinct notions of discrete
Ricci curvature for graphs or networks, namely, the Forman-Ricci curvature and
Ollivier-Ricci curvature. Importantly, these two discretizations of the Ricci
curvature were developed based on different properties of the classical smooth
noti... | 1 | 0 | 1 | 0 | 0 | 0 |
Zero-Shot Learning via Class-Conditioned Deep Generative Models | We present a deep generative model for learning to predict classes not seen
at training time. Unlike most existing methods for this problem, that represent
each class as a point (via a semantic embedding), we represent each seen/unseen
class using a class-specific latent-space distribution, conditioned on class
attri... | 1 | 0 | 0 | 0 | 0 | 0 |
On the vanishing viscosity approximation of a nonlinear model for tumor growth | We investigate the dynamics of a nonlinear system modeling tumor growth with
drug application. The tumor is viewed as a mixture consisting of proliferating,
quiescent and dead cells as well as a nutrient in the presence of a drug. The
system is given by a multi-phase flow model: the densities of the different
cells a... | 0 | 0 | 1 | 0 | 0 | 0 |
Noise-gating to clean astrophysical image data | I present a family of algorithms to reduce noise in astrophysical im- ages
and image sequences, preserving more information from the original data than is
retained by conventional techniques. The family uses locally adaptive filters
("noise gates") in the Fourier domain, to separate coherent image structure
from back... | 0 | 1 | 0 | 0 | 0 | 0 |
Variational Bayesian dropout: pitfalls and fixes | Dropout, a stochastic regularisation technique for training of neural
networks, has recently been reinterpreted as a specific type of approximate
inference algorithm for Bayesian neural networks. The main contribution of the
reinterpretation is in providing a theoretical framework useful for analysing
and extending t... | 0 | 0 | 0 | 1 | 0 | 0 |
Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power | Wind energy forecasting helps to manage power production, and hence, reduces
energy cost. Deep Neural Networks (DNN) mimics hierarchical learning in the
human brain and thus possesses hierarchical, distributed, and multi-task
learning capabilities. Based on aforementioned characteristics, we report Deep
Belief Networ... | 0 | 0 | 0 | 1 | 0 | 0 |
Control Interpretations for First-Order Optimization Methods | First-order iterative optimization methods play a fundamental role in large
scale optimization and machine learning. This paper presents control
interpretations for such optimization methods. First, we give loop-shaping
interpretations for several existing optimization methods and show that they
are composed of basic... | 1 | 0 | 1 | 0 | 0 | 0 |
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction | Machine understanding of complex images is a key goal of artificial
intelligence. One challenge underlying this task is that visual scenes contain
multiple inter-related objects, and that global context plays an important role
in interpreting the scene. A natural modeling framework for capturing such
effects is struc... | 0 | 0 | 0 | 1 | 0 | 0 |
Identifying Similarities in Epileptic Patients for Drug Resistance Prediction | Currently, approximately 30% of epileptic patients treated with antiepileptic
drugs (AEDs) remain resistant to treatment (known as refractory patients). This
project seeks to understand the underlying similarities in refractory patients
vs. other epileptic patients, identify features contributing to drug resistance
a... | 1 | 0 | 0 | 1 | 0 | 0 |
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations | Disentangled representations, where the higher level data generative factors
are reflected in disjoint latent dimensions, offer several benefits such as
ease of deriving invariant representations, transferability to other tasks,
interpretability, etc. We consider the problem of unsupervised learning of
disentangled r... | 1 | 0 | 0 | 1 | 0 | 0 |
Designing the color of hot-dip galvanized steel sheet through destructive light interference using a Zn-Ti liquid metallic bath | The color of hot-dip galvanized steel sheet was adjusted in a reproducible
way using a liquid Zn-Ti metallic bath, air atmosphere, and controlling the
bath temperature as the only experimental parameter. Coloring was found only
for sample s cooled in air and dipped into Ti-containing liquid Zn. For samples
dipped int... | 0 | 1 | 0 | 0 | 0 | 0 |
Counting Multiplicities in a Hypersurface over a Number Field | We fix a counting function of multiplicities of algebraic points in a
projective hypersurface over a number field, and take the sum over all
algebraic points of bounded height and fixed degree. An upper bound for the sum
with respect to this counting function will be given in terms of the degree of
the hypersurface, ... | 0 | 0 | 1 | 0 | 0 | 0 |
Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis | We consider the task of fine-grained sentiment analysis from the perspective
of multiple instance learning (MIL). Our neural model is trained on document
sentiment labels, and learns to predict the sentiment of text segments, i.e.
sentences or elementary discourse units (EDUs), without segment-level
supervision. We i... | 1 | 0 | 0 | 0 | 0 | 0 |
Eva-CiM: A System-Level Energy Evaluation Framework for Computing-in-Memory Architectures | Computing-in-Memory (CiM) architectures aim to reduce costly data transfers
by performing arithmetic and logic operations in memory and hence relieve the
pressure due to the memory wall. However, determining whether a given workload
can really benefit from CiM, which memory hierarchy and what device technology
should... | 1 | 0 | 0 | 0 | 0 | 0 |
Converging Shock Flows for a Mie-Grüneisen Equation of State | Previous work has shown that the one-dimensional (1D) inviscid compressible
flow (Euler) equations admit a wide variety of scale-invariant solutions
(including the famous Noh, Sedov, and Guderley shock solutions) when the
included equation of state (EOS) closure model assumes a certain
scale-invariant form. However, ... | 0 | 1 | 0 | 0 | 0 | 0 |
Robust estimation of tree structured Gaussian Graphical Model | Consider jointly Gaussian random variables whose conditional independence
structure is specified by a graphical model. If we observe realizations of the
variables, we can compute the covariance matrix, and it is well known that the
support of the inverse covariance matrix corresponds to the edges of the
graphical mod... | 1 | 0 | 0 | 1 | 0 | 0 |
What Propels Celebrity Follower Counts? Language Use or Social Connectivity | Follower count is a factor that quantifies the popularity of celebrities. It
is a reflection of their power, prestige and overall social reach. In this
paper we investigate whether the social connectivity or the language choice is
more correlated to the future follower count of a celebrity. We collect data
about twee... | 1 | 0 | 0 | 0 | 0 | 0 |
Monochromatic metrics are generalized Berwald | We show that monochromatic Finsler metrics, i.e., Finsler metrics such that
each two tangent spaces are isomorphic as normed spaces, are generalized
Berwald metrics, i.e., there exists an affine connection, possibly with
torsion, that preserves the Finsler function
| 0 | 0 | 1 | 0 | 0 | 0 |
CTCF Degradation Causes Increased Usage of Upstream Exons in Mouse Embryonic Stem Cells | Transcriptional repressor CTCF is an important regulator of chromatin 3D
structure, facilitating the formation of topologically associating domains
(TADs). However, its direct effects on gene regulation is less well understood.
Here, we utilize previously published ChIP-seq and RNA-seq data to investigate
the effects... | 0 | 0 | 0 | 0 | 1 | 0 |
The stability of tightly-packed, evenly-spaced systems of Earth-mass planets orbiting a Sun-like star | Many of the multi-planet systems discovered to date have been notable for
their compactness, with neighbouring planets closer together than any in the
Solar System. Interestingly, planet-hosting stars have a wide range of ages,
suggesting that such compact systems can survive for extended periods of time.
We have use... | 0 | 1 | 0 | 0 | 0 | 0 |
GPUQT: An efficient linear-scaling quantum transport code fully implemented on graphics processing units | We present GPUQT, a quantum transport code fully implemented on graphics
processing units. Using this code, one can obtain intrinsic electronic
transport properties of large systems described by a real-space tight-binding
Hamiltonian together with one or more types of disorder. The DC Kubo
conductivity is represented... | 0 | 1 | 0 | 0 | 0 | 0 |
Full-Duplex Cooperative Cognitive Radio Networks with Wireless Energy Harvesting | This paper proposes and analyzes a new full-duplex (FD) cooperative cognitive
radio network with wireless energy harvesting (EH). We consider that the
secondary receiver is equipped with a FD radio and acts as a FD hybrid access
point (HAP), which aims to collect information from its associated EH secondary
transmitt... | 1 | 0 | 0 | 0 | 0 | 0 |
Inkjet printing-based volumetric display projecting multiple full-colour 2D patterns | In this study, a method to construct a full-colour volumetric display is
presented using a commercially available inkjet printer. Photoreactive
luminescence materials are minutely and automatically printed as the volume
elements, and volumetric displays are constructed with high resolution using
easy-to-fabricate mea... | 1 | 0 | 0 | 0 | 0 | 0 |
Analysis of luminosity distributions of strong lensing galaxies: subtraction of diffuse lensed signal | Strong gravitational lensing gives access to the total mass distribution of
galaxies. It can unveil a great deal of information about the lenses dark
matter content when combined with the study of the lenses light profile.
However, gravitational lensing galaxies, by definition, appear surrounded by
point-like and dif... | 0 | 1 | 0 | 0 | 0 | 0 |
Support Estimation via Regularized and Weighted Chebyshev Approximations | We introduce a new framework for estimating the support size of an unknown
distribution which improves upon known approximation-based techniques. Our main
contributions include describing a rigorous new weighted Chebyshev polynomial
approximation method and introducing regularization terms into the problem
formulatio... | 1 | 0 | 0 | 1 | 0 | 0 |
Two-photon superbunching of pseudothermal light in a Hanbury Brown-Twiss interferometer | Two-photon superbunching of pseudothermal light is observed with single-mode
continuous-wave laser light in a linear optical system. By adding more
two-photon paths via three rotating ground glasses,g(2)(0) = 7.10 is
experimentally observed. The second-order temporal coherence function of
superbunching pseudothermal ... | 0 | 1 | 0 | 0 | 0 | 0 |
Non Relativistic Limit of Integrable QFT with fermionic excitations | The aim of this paper is to investigate the non-relativistic limit of
integrable quantum field theories with fermionic fields, such as the O(N)
Gross-Neveu model, the supersymmetric Sinh-Gordon and non-linear sigma models.
The non-relativistic limit of these theories is implemented by a double scaling
limit which con... | 0 | 1 | 0 | 0 | 0 | 0 |
Extensions of the Benson-Solomon fusion systems | The Benson-Solomon systems comprise the only known family of simple saturated
fusion systems at the prime two that do not arise as the fusion system of any
finite group. We determine the automorphism groups and the possible almost
simple extensions of these systems and of their centric linking systems.
| 0 | 0 | 1 | 0 | 0 | 0 |
Run-Wise Simulations for Imaging Atmospheric Cherenkov Telescope Arrays | We present a new paradigm for the simulation of arrays of Imaging Atmospheric
Cherenkov Telescopes (IACTs) which overcomes limitations of current approaches.
Up to now, all major IACT experiments rely on the same Monte-Carlo simulation
strategy, using predefined observation and instrument settings. Simulations
with v... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-party Poisoning through Generalized $p$-Tampering | In a poisoning attack against a learning algorithm, an adversary tampers with
a fraction of the training data $T$ with the goal of increasing the
classification error of the constructed hypothesis/model over the final test
distribution. In the distributed setting, $T$ might be gathered gradually from
$m$ data provide... | 0 | 0 | 0 | 1 | 0 | 0 |
Spectral edge behavior for eventually monotone Jacobi and Verblunsky coefficients | We consider Jacobi matrices with eventually increasing sequences of diagonal
and off-diagonal Jacobi parameters. We describe the asymptotic behavior of the
subordinate solution at the top of the essential spectrum, and the asymptotic
behavior of the spectral density at the top of the essential spectrum.
In particular... | 0 | 0 | 1 | 0 | 0 | 0 |
Web Video in Numbers - An Analysis of Web-Video Metadata | Web video is often used as a source of data in various fields of study. While
specialized subsets of web video, mainly earmarked for dedicated purposes, are
often analyzed in detail, there is little information available about the
properties of web video as a whole. In this paper we present insights gained
from the a... | 1 | 0 | 0 | 0 | 0 | 0 |
Bernoulli Correlations and Cut Polytopes | Given $n$ symmetric Bernoulli variables, what can be said about their
correlation matrix viewed as a vector? We show that the set of those vectors
$R(\mathcal{B}_n)$ is a polytope and identify its vertices. Those extreme
points correspond to correlation vectors associated to the discrete uniform
distributions on diag... | 0 | 0 | 1 | 1 | 0 | 0 |
Tensor products of NCDL-C*-algebras and the C*-algebra of the Heisenberg motion groups | We show that the tensor product $A\otimes B$ over $\mathbb{C}$ of two $C^*
$-algebras satisfying the \textit{NCDL} conditions has again the same property.
We use this result to describe the $C^* $-algebra of the Heisenberg motion
groups $G_n = \mathbb{T}^n \ltimes \mathbb{H}_n$ as algebra of operator fields
defined o... | 0 | 0 | 1 | 0 | 0 | 0 |
ViP-CNN: Visual Phrase Guided Convolutional Neural Network | As the intermediate level task connecting image captioning and object
detection, visual relationship detection started to catch researchers'
attention because of its descriptive power and clear structure. It detects the
objects and captures their pair-wise interactions with a
subject-predicate-object triplet, e.g. pe... | 1 | 0 | 0 | 0 | 0 | 0 |
Haantjes Algebras and Diagonalization | We propose the notion of Haantjes algebra, which consists of an assignment of
a family of fields of operators over a differentiable manifold, with vanishing
Haantjes torsion and satisfying suitable compatibility conditions among each
others. Haantjes algebras naturally generalize several known interesting
geometric s... | 0 | 1 | 1 | 0 | 0 | 0 |
Multipair Massive MIMO Relaying Systems with One-Bit ADCs and DACs | This paper considers a multipair amplify-and-forward massive MIMO relaying
system with one-bit ADCs and one-bit DACs at the relay. The channel state
information is estimated via pilot training, and then utilized by the relay to
perform simple maximum-ratio combining/maximum-ratio transmission processing.
Leveraging o... | 1 | 0 | 0 | 0 | 0 | 0 |
Bayesian Methods for Exoplanet Science | Exoplanet research is carried out at the limits of the capabilities of
current telescopes and instruments. The studied signals are weak, and often
embedded in complex systematics from instrumental, telluric, and astrophysical
sources. Combining repeated observations of periodic events, simultaneous
observations with ... | 0 | 1 | 0 | 0 | 0 | 0 |
Feature importance scores and lossless feature pruning using Banzhaf power indices | Understanding the influence of features in machine learning is crucial to
interpreting models and selecting the best features for classification. In this
work we propose the use of principles from coalitional game theory to reason
about importance of features. In particular, we propose the use of the Banzhaf
power in... | 1 | 0 | 0 | 1 | 0 | 0 |
Robust clustering of languages across Wikipedia growth | Wikipedia is the largest existing knowledge repository that is growing on a
genuine crowdsourcing support. While the English Wikipedia is the most
extensive and the most researched one with over five million articles,
comparatively little is known about the behavior and growth of the remaining
283 smaller Wikipedias,... | 1 | 0 | 0 | 1 | 0 | 0 |
Attractive Heaviside-Maxwellian (Vector) Gravity from Special Relativity and Quantum Field Theory | Adopting two independent approaches (a) Lorentz-invariance of physical laws
and (b) local phase invariance of quantum field theory applied to the Dirac
Lagrangian for massive electrically neutral Dirac particles, we rediscovered
the fundamental field equations of Heaviside Gravity (HG) of 1893 and
Maxwellian Gravity ... | 0 | 1 | 0 | 0 | 0 | 0 |
Critical pairing fluctuations in the normal state of a superconductor: pseudogap and quasi-particle damping | We study the effect of critical pairing fluctuations on the electronic
properties in the normal state of a clean superconductor in three dimensions.
Using a functional renormalization group approach to take the non-Gaussian
nature of critical fluctuations into account, we show microscopically that in
the BCS regime, ... | 0 | 1 | 0 | 0 | 0 | 0 |
The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints | In this paper, we propose a low-rank coordinate descent approach to
structured semidefinite programming with diagonal constraints. The approach,
which we call the Mixing method, is extremely simple to implement, has no free
parameters, and typically attains an order of magnitude or better improvement
in optimization ... | 1 | 0 | 1 | 1 | 0 | 0 |
GeoSeq2Seq: Information Geometric Sequence-to-Sequence Networks | The Fisher information metric is an important foundation of information
geometry, wherein it allows us to approximate the local geometry of a
probability distribution. Recurrent neural networks such as the
Sequence-to-Sequence (Seq2Seq) networks that have lately been used to yield
state-of-the-art performance on spee... | 1 | 0 | 0 | 1 | 0 | 0 |
Stochastic graph Voronoi tessellation reveals community structure | Given a network, the statistical ensemble of its graph-Voronoi diagrams with
randomly chosen cell centers exhibits properties convertible into information
on the network's large scale structures. We define a node-pair level measure
called {\it Voronoi cohesion} which describes the probability for sharing the
same Vor... | 1 | 1 | 0 | 0 | 0 | 0 |
Recursion for the smallest eigenvalue density of $β$-Wishart-Laguerre ensemble | The statistics of the smallest eigenvalue of Wishart-Laguerre ensemble is
important from several perspectives. The smallest eigenvalue density is
typically expressible in terms of determinants or Pfaffians. These results are
of utmost significance in understanding the spectral behavior of
Wishart-Laguerre ensembles a... | 0 | 0 | 0 | 1 | 0 | 0 |
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation | Advances in image processing and computer vision in the latest years have
brought about the use of visual features in artwork recommendation. Recent
works have shown that visual features obtained from pre-trained deep neural
networks (DNNs) perform very well for recommending digital art. Other recent
works have shown... | 1 | 0 | 0 | 0 | 0 | 0 |
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds | We propose DeepMapping, a novel registration framework using deep neural
networks (DNNs) as auxiliary functions to align multiple point clouds from
scratch to a globally consistent frame. We use DNNs to model the highly
non-convex mapping process that traditionally involves hand-crafted data
association, sensor pose ... | 1 | 0 | 0 | 0 | 0 | 0 |
The First Comparison Between Swarm-C Accelerometer-Derived Thermospheric Densities and Physical and Empirical Model Estimates | The first systematic comparison between Swarm-C accelerometer-derived
thermospheric density and both empirical and physics-based model results using
multiple model performance metrics is presented. This comparison is performed
at the satellite's high temporal 10-s resolution, which provides a meaningful
evaluation of... | 0 | 1 | 0 | 0 | 0 | 0 |
Gaussian Parsimonious Clustering Models with Covariates | We consider model-based clustering methods for continuous, correlated data
that account for external information available in the presence of mixed-type
fixed covariates by proposing the MoEClust suite of models. These allow
covariates influence the component weights and/or component densities by
modelling the parame... | 0 | 0 | 0 | 1 | 0 | 0 |
The Rice-Shapiro theorem in Computable Topology | We provide requirements on effectively enumerable topological spaces which
guarantee that the Rice-Shapiro theorem holds for the computable elements of
these spaces. We show that the relaxation of these requirements leads to the
classes of effectively enumerable topological spaces where the Rice-Shapiro
theorem does ... | 1 | 0 | 1 | 0 | 0 | 0 |
Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications | This paper studies the problem of multivariate linear regression where a
portion of the observations is grossly corrupted or is missing, and the
magnitudes and locations of such occurrences are unknown in priori. To deal
with this problem, we propose a new approach by explicitly consider the error
source as well as i... | 1 | 0 | 0 | 1 | 0 | 0 |
A Deep Learning Approach for Population Estimation from Satellite Imagery | Knowing where people live is a fundamental component of many decision making
processes such as urban development, infectious disease containment, evacuation
planning, risk management, conservation planning, and more. While bottom-up,
survey driven censuses can provide a comprehensive view into the population
landscap... | 1 | 0 | 0 | 0 | 0 | 0 |
Trends in the Diffusion of Misinformation on Social Media | We measure trends in the diffusion of misinformation on Facebook and Twitter
between January 2015 and July 2018. We focus on stories from 570 sites that
have been identified as producers of false stories. Interactions with these
sites on both Facebook and Twitter rose steadily through the end of 2016.
Interactions th... | 1 | 0 | 0 | 0 | 0 | 1 |
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications | We describe the SemEval task of extracting keyphrases and relations between
them from scientific documents, which is crucial for understanding which
publications describe which processes, tasks and materials. Although this was a
new task, we had a total of 26 submissions across 3 evaluation scenarios. We
expect the t... | 1 | 0 | 0 | 1 | 0 | 0 |
Well-posedness of the Two-dimensional Nonlinear Schrödinger Equation with Concentrated Nonlinearity | We consider a two-dimensional nonlinear Schrödinger equation with
concentrated nonlinearity. In both the focusing and defocusing case we prove
local well-posedness, i.e., existence and uniqueness of the solution for short
times, as well as energy and mass conservation. In addition, we prove that this
implies global e... | 0 | 0 | 1 | 0 | 0 | 0 |
The nilpotent variety of $W(1;n)_{p}$ is irreducible | In the late 1980s, Premet conjectured that the nilpotent variety of any
finite dimensional restricted Lie algebra over an algebraically closed field of
characteristic $p>0$ is irreducible. This conjecture remains open, but it is
known to hold for a large class of simple restricted Lie algebras, e.g. for Lie
algebras ... | 0 | 0 | 1 | 0 | 0 | 0 |
Solitons in Bose-Einstein Condensates with Helicoidal Spin-Orbit Coupling | We report on the existence and stability of freely moving solitons in a
spatially inhomogeneous Bose- Einstein condensate with helicoidal spin-orbit
(SO) coupling. In spite of the periodically varying parameters, the system
allows for the existence of stable propagating solitons. Such states are found
in the rotating... | 0 | 1 | 0 | 0 | 0 | 0 |
Possible heights of graph transformation groups | In the following text we prove that for all finite $p\geq0$ there exists a
topological graph $X$ such that $\{p,p+1,p+2,\ldots\}\cup\{+\infty\}$ is the
collection of all possible heights for transformation groups with phase space
$X$. Moreover for all topological graph $X$ with $p$ as height of
transformation group $... | 0 | 0 | 1 | 0 | 0 | 0 |
Dependencies: Formalising Semantic Catenae for Information Retrieval | Building machines that can understand text like humans is an AI-complete
problem. A great deal of research has already gone into this, with astounding
results, allowing everyday people to discuss with their telephones, or have
their reading materials analysed and classified by computers. A prerequisite
for processing... | 1 | 0 | 0 | 0 | 0 | 0 |
A New Pseudo-color Technique Based on Intensity Information Protection for Passive Sensor Imagery | Remote sensing image processing is so important in geo-sciences. Images which
are obtained by different types of sensors might initially be unrecognizable.
To make an acceptable visual perception in the images, some pre-processing
steps (for removing noises and etc) are preformed which they affect the
analysis of ima... | 1 | 0 | 0 | 0 | 0 | 0 |
Tunneling anisotropic magnetoresistance driven by magnetic phase transition | The independent control of two magnetic electrodes and spin-coherent
transport in magnetic tunnel junctions are strictly required for tunneling
magnetoresistance, while junctions with only one ferromagnetic electrode
exhibit tunneling anisotropic magnetoresistance dependent on the anisotropic
density of states with n... | 0 | 1 | 0 | 0 | 0 | 0 |
Finding Efficient Swimming Strategies in a Three Dimensional Chaotic Flow by Reinforcement Learning | We apply a reinforcement learning algorithm to show how smart particles can
learn approximately optimal strategies to navigate in complex flows. In this
paper we consider microswimmers in a paradigmatic three-dimensional case given
by a stationary superposition of two Arnold-Beltrami-Childress flows with
chaotic adve... | 1 | 1 | 0 | 0 | 0 | 0 |
Trapped imbalanced fermionic superfluids in one dimension: A variational approach | We propose and analyze a variational wave function for a
population-imbalanced one-dimensional Fermi gas that allows for
Fulde-Ferrell-Larkin-Ovchinnikov (FFLO) type pairing correlations among the two
fermion species, while also accounting for the harmonic confining potential. In
the strongly interacting regime, we f... | 0 | 1 | 0 | 0 | 0 | 0 |
Prospects of dynamical determination of General Relativity parameter beta and solar quadrupole moment J2 with asteroid radar astronomy | We evaluated the prospects of quantifying the parameterized post-Newtonian
parameter beta and solar quadrupole moment J2 with observations of near-Earth
asteroids with large orbital precession rates (9 to 27 arcsec century$^{-1}$).
We considered existing optical and radar astrometry, as well as radar
astrometry that ... | 0 | 1 | 0 | 0 | 0 | 0 |
Modelling and Using Response Times in Online Courses | Each time a learner in a self-paced online course is trying to answer an
assessment question, it takes some time to submit the answer, and if multiple
attempts are allowed and the first answer was incorrect, it takes some time to
submit the second attempt, and so on. Here we study the distribution of such
"response t... | 1 | 0 | 0 | 0 | 0 | 0 |
Univalent Foundations and the UniMath Library | We give a concise presentation of the Univalent Foundations of mathematics
outlining the main ideas, followed by a discussion of the UniMath library of
formalized mathematics implementing the ideas of the Univalent Foundations
(section 1), and the challenges one faces in attempting to design a large-scale
library of ... | 1 | 0 | 1 | 0 | 0 | 0 |
Distributed methods for synchronization of orthogonal matrices over graphs | This paper addresses the problem of synchronizing orthogonal matrices over
directed graphs. For synchronized transformations (or matrices), composite
transformations over loops equal the identity. We formulate the synchronization
problem as a least-squares optimization problem with nonlinear constraints. The
synchron... | 1 | 0 | 1 | 0 | 0 | 0 |
Stochastic Model of SIR Epidemic Modelling | Threshold theorem is probably the most important development of mathematical
epidemic modelling. Unfortunately, some models may not behave according to the
threshold. In this paper, we will focus on the final outcome of SIR model with
demography. The behaviour of the model approached by deteministic and
stochastic mo... | 0 | 0 | 0 | 1 | 1 | 0 |
Parent Oriented Teacher Selection Causes Language Diversity | An evolutionary model for emergence of diversity in language is developed. We
investigated the effects of two real life observations, namely, people prefer
people that they communicate with well, and people interact with people that
are physically close to each other. Clearly these groups are relatively small
compare... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning Role-based Graph Embeddings | Random walks are at the heart of many existing network embedding methods.
However, such algorithms have many limitations that arise from the use of
random walks, e.g., the features resulting from these methods are unable to
transfer to new nodes and graphs as they are tied to vertex identity. In this
work, we introdu... | 1 | 0 | 0 | 1 | 0 | 0 |
Quantum Emulation of Extreme Non-equilibrium Phenomena with Trapped Atoms | Ultracold atomic physics experiments offer a nearly ideal context for the
investigation of quantum systems far from equilibrium. We describe three
related emerging directions of research into extreme non-equilibrium phenomena
in atom traps: quantum emulation of ultrafast atom-light interactions, coherent
phasonic spe... | 0 | 1 | 0 | 0 | 0 | 0 |
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach | We consider solving convex-concave saddle point problems. We focus on two
variants of gradient decent-ascent algorithms, Extra-gradient (EG) and
Optimistic Gradient (OGDA) methods, and show that they admit a unified analysis
as approximations of the classical proximal point method for solving
saddle-point problems. T... | 1 | 0 | 0 | 1 | 0 | 0 |
Adaptive Multi-Step Prediction based EKF to Power System Dynamic State Estimation | Power system dynamic state estimation is essential to monitoring and
controlling power system stability. Kalman filtering approaches are predominant
in estimation of synchronous machine dynamic states (i.e. rotor angle and rotor
speed). This paper proposes an adaptive multi-step prediction (AMSP) approach
to improve ... | 1 | 1 | 0 | 0 | 0 | 0 |
Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality | A number of statistical estimation problems can be addressed by semidefinite
programs (SDP). While SDPs are solvable in polynomial time using interior point
methods, in practice generic SDP solvers do not scale well to high-dimensional
problems. In order to cope with this problem, Burer and Monteiro proposed a
non-co... | 0 | 0 | 1 | 1 | 0 | 0 |
Poisson-Nernst-Planck equations with steric effects - non-convexity and multiple stationary solutions | We study the existence and stability of stationary solutions of
Poisson-Nernst- Planck equations with steric effects (PNP-steric equations)
with two counter-charged species. These equations describe steady current
through open ionic channels quite well. The current levels in open ionic
channels are known to switch be... | 0 | 1 | 1 | 0 | 0 | 0 |
A Fast Noniterative Algorithm for Compressive Sensing Using Binary Measurement Matrices | In this paper we present a new algorithm for compressive sensing that makes
use of binary measurement matrices and achieves exact recovery of ultra sparse
vectors, in a single pass and without any iterations. Due to its noniterative
nature, our algorithm is hundreds of times faster than $\ell_1$-norm
minimization, an... | 1 | 0 | 0 | 0 | 0 | 0 |
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions | An important goal common to domain adaptation and causal inference is to make
accurate predictions when the distributions for the source (or training)
domain(s) and target (or test) domain(s) differ. In many cases, these different
distributions can be modeled as different contexts of a single underlying
system, in wh... | 1 | 0 | 0 | 1 | 0 | 0 |
Fitting ReLUs via SGD and Quantized SGD | In this paper we focus on the problem of finding the optimal weights of the
shallowest of neural networks consisting of a single Rectified Linear Unit
(ReLU). These functions are of the form $\mathbf{x}\rightarrow
\max(0,\langle\mathbf{w},\mathbf{x}\rangle)$ with $\mathbf{w}\in\mathbb{R}^d$
denoting the weight vector... | 1 | 0 | 0 | 1 | 0 | 0 |
The meet operation in the imbalance lattice of maximal instantaneous codes: alternative proof of existence | An alternative proof is given of the existence of greatest lower bounds in
the imbalance order of binary maximal instantaneous codes of a given size.
These codes are viewed as maximal antichains of a given size in the infinite
binary tree of 0-1 words. The proof proposed makes use of a single balancing
operation inst... | 0 | 0 | 1 | 0 | 0 | 0 |
Approximating Partition Functions in Constant Time | We study approximations of the partition function of dense graphical models.
Partition functions of graphical models play a fundamental role is statistical
physics, in statistics and in machine learning. Two of the main methods for
approximating the partition function are Markov Chain Monte Carlo and
Variational Meth... | 1 | 0 | 0 | 1 | 0 | 0 |
Stability of a Volterra Integral Equation on Time Scales | In this paper, we study Hyers-Ulam stability for integral equation of
Volterra type in time scale setting. Moreover we study the stability of the
considered equation in Hyers-Ulam-Rassias sense. Our technique depends on
successive approximation method, and we use time scale variant of induction
principle to show that... | 0 | 0 | 1 | 0 | 0 | 0 |
Near-IR period-luminosity relations for pulsating stars in $ω$ Centauri (NGC 5139) | $\omega$ Centauri (NGC 5139) hosts hundreds of pulsating variable stars of
different types, thus representing a treasure trove for studies of their
corresponding period-luminosity (PL) relations. Our goal in this study is to
obtain the PL relations for RR Lyrae, and SX Phoenicis stars in the field of
the cluster, bas... | 0 | 1 | 0 | 0 | 0 | 0 |
Pseudo-deterministic Proofs | We introduce pseudo-deterministic interactive proofs (psdAM): interactive
proof systems for search problems where the verifier is guaranteed with high
probability to output the same output on different executions. As in the case
with classical interactive proofs, the verifier is a probabilistic polynomial
time algori... | 1 | 0 | 0 | 0 | 0 | 0 |
The Mechanism behind Erosive Bursts in Porous Media | Erosion and deposition during flow through porous media can lead to large
erosive bursts that manifest as jumps in permeability and pressure loss. Here
we reveal that the cause of these bursts is the re-opening of clogged pores
when the pressure difference between two opposite sites of the pore surpasses a
certain th... | 0 | 1 | 0 | 0 | 0 | 0 |
The Maximum Likelihood Degree of Toric Varieties | We study the maximum likelihood degree (ML degree) of toric varieties, known
as discrete exponential models in statistics. By introducing scaling
coefficients to the monomial parameterization of the toric variety, one can
change the ML degree. We show that the ML degree is equal to the degree of the
toric variety for... | 0 | 0 | 1 | 1 | 0 | 0 |
Low Mach number limit of a pressure correction MAC scheme for compressible barotropic flows | We study the incompressible limit of a pressure correction MAC scheme [3] for
the unstationary compressible barotropic Navier-Stokes equations. Provided the
initial data are well-prepared, the solution of the numerical scheme converges,
as the Mach number tends to zero, towards the solution of the classical
pressure ... | 0 | 1 | 1 | 0 | 0 | 0 |
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