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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BSDEs and SDEs with time-advanced and -delayed coefficients | This paper introduces a class of backward stochastic differential equations
(BSDEs), whose coefficients not only depend on the value of its solutions of
the present but also the past and the future. For a sufficiently small time
delay or a sufficiently small Lipschitz constant, the existence and uniqueness
of such BS... | 0 | 0 | 1 | 0 | 0 | 0 |
Characterizing information importance and the effect on the spread in various graph topologies | In this paper we present a thorough analysis of the nature of news in
different mediums across the ages, introducing a unique mathematical model to
fit the characteristics of information spread. This model enhances the
information diffusion model to account for conflicting information and the
topical distribution of ... | 1 | 1 | 0 | 0 | 0 | 0 |
Quantum criticality at the superconductor to insulator transition revealed by specific heat measurements | The superconductor-insulator transition (SIT) is considered an excellent
example of a quantum phase transition which is driven by quantum fluctuations
at zero temperature. The quantum critical point is characterized by a diverging
correlation length and a vanishing energy scale. Low energy fluctuations near
quantum c... | 0 | 1 | 0 | 0 | 0 | 0 |
Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference | We introduce a novel formulation of motion planning, for continuous-time
trajectories, as probabilistic inference. We first show how smooth
continuous-time trajectories can be represented by a small number of states
using sparse Gaussian process (GP) models. We next develop an efficient
gradient-based optimization al... | 1 | 0 | 0 | 0 | 0 | 0 |
Polynomially and Infinitesimally Injective Modules | The injective polynomial modules for a general linear group $G$ of degree $n$
are labelled by the partitions with at most $n$ parts. Working over an
algebraically closed field of characteristic $p$, we consider the question of
which partitions correspond to polynomially injective modules that are also
injective as mo... | 0 | 0 | 1 | 0 | 0 | 0 |
Nonstandard Methods in Ramsey Theory and Combinatorial Number Theory | The goal of this present manuscript is to introduce the reader to the
nonstandard method and to provide an overview of its most prominent
applications in Ramsey theory and combinatorial number theory.
| 0 | 0 | 1 | 0 | 0 | 0 |
When is Network Lasso Accurate? | The "least absolute shrinkage and selection operator" (Lasso) method has been
adapted recently for networkstructured datasets. In particular, this network
Lasso method allows to learn graph signals from a small number of noisy signal
samples by using the total variation of a graph signal for regularization.
While eff... | 0 | 0 | 0 | 1 | 0 | 0 |
T-ROME: A Simple and Energy Efficient Tree Routing Protocol for Low-Power Wake-up Receivers | Wireless sensor networks are deployed in many monitoring applications but
still suffer from short lifetimes originating from limited energy sources and
storages. Due to their low-power consumption and their on-demand communication
ability, wake-up receivers represent an energy efficient and simple enhancement
to wire... | 1 | 0 | 0 | 0 | 0 | 0 |
Classifying the Correctness of Generated White-Box Tests: An Exploratory Study | White-box test generator tools rely only on the code under test to select
test inputs, and capture the implementation's output as assertions. If there is
a fault in the implementation, it could get encoded in the generated tests.
Tool evaluations usually measure fault-detection capability using the number of
such fau... | 1 | 0 | 0 | 0 | 0 | 0 |
Numerical Simulations of Saturn's B Ring: Granular Friction as a Mediator between Self-Gravity and Viscous Overstability | We study the B ring's complex optical depth structure. The source of this
structure may be the complex dynamics of the Keplerian shear and the
self-gravity of the ring particles. The outcome of these dynamic effects
depends sensitively on the collisional and physical properties of the
particles. Two mechanisms can em... | 0 | 1 | 0 | 0 | 0 | 0 |
Shock-darkening in ordinary chondrites: determination of the pressure-temperature conditions by shock physics mesoscale modeling | We determined the shock-darkening pressure range in ordinary chondrites using
the iSALE shock physics code. We simulated planar shock waves on a mesoscale in
a sample layer at different nominal pressures. Iron and troilite grains were
resolved in a porous olivine matrix in the sample layer. We used equations of
state... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Global Fluctuations of Block Gaussian Matrices | In this paper we study the global fluctuations of block Gaussian matrices
within the framework of second-order free probability theory. In order to
compute the second-order Cauchy transform of these matrices, we introduce a
matricial second-order conditional expectation and compute the matricial
second-order Cauchy t... | 0 | 0 | 1 | 0 | 0 | 0 |
Carnot Efficiency of Publication | This paper analyzes publication efficiency in terms of Hirsch-index or
h-index and total citations, with an analogy to the Carnot efficiency used in
thermodynamics. Such publication efficiency, with typical value of 30%, can be
utilized to normalize the research output judgment, favoring quality outputs in
reduced qu... | 1 | 0 | 0 | 0 | 0 | 0 |
EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras | Event-based cameras have shown great promise in a variety of situations where
frame based cameras suffer, such as high speed motions and high dynamic range
scenes. However, developing algorithms for event measurements requires a new
class of hand crafted algorithms. Deep learning has shown great success in
providing ... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Active Learning for Named Entity Recognition | Deep learning has yielded state-of-the-art performance on many natural
language processing tasks including named entity recognition (NER). However,
this typically requires large amounts of labeled data. In this work, we
demonstrate that the amount of labeled training data can be drastically reduced
when deep learning... | 1 | 0 | 0 | 0 | 0 | 0 |
Bipedal Walking with Corrective Actions in the Tilt Phase Space | Many methods exist for a bipedal robot to keep its balance while walking. In
addition to step size and timing, other strategies are possible that influence
the stability of the robot without interfering with the target direction and
speed of locomotion. This paper introduces a multifaceted feedback controller
that us... | 1 | 0 | 0 | 0 | 0 | 0 |
TimeNet: Pre-trained deep recurrent neural network for time series classification | Inspired by the tremendous success of deep Convolutional Neural Networks as
generic feature extractors for images, we propose TimeNet: a deep recurrent
neural network (RNN) trained on diverse time series in an unsupervised manner
using sequence to sequence (seq2seq) models to extract features from time
series. Rather... | 1 | 0 | 0 | 0 | 0 | 0 |
Differentially Private Federated Learning: A Client Level Perspective | Federated learning is a recent advance in privacy protection. In this
context, a trusted curator aggregates parameters optimized in decentralized
fashion by multiple clients. The resulting model is then distributed back to
all clients, ultimately converging to a joint representative model without
explicitly having to... | 1 | 0 | 0 | 1 | 0 | 0 |
Okapi: Causally Consistent Geo-Replication Made Faster, Cheaper and More Available | Okapi is a new causally consistent geo-replicated key- value store. Okapi
leverages two key design choices to achieve high performance. First, it relies
on hybrid logical/physical clocks to achieve low latency even in the presence
of clock skew. Second, Okapi achieves higher resource efficiency and better
availabilit... | 1 | 0 | 0 | 0 | 0 | 0 |
Emergence of epithelial cell density waves | Epithelial cell monolayers exhibit traveling mechanical waves. We rationalize
this observation thanks to a hydrodynamic description of the monolayer as a
compressible, active and polar material. We show that propagating waves of the
cell density, polarity, velocity and stress fields may be due to a Hopf
bifurcation o... | 0 | 1 | 0 | 0 | 0 | 0 |
Complex Analysis of Real Functions IV: Non-Integrable Real Functions | In the context of the complex-analytic structure within the unit disk
centered at the origin of the complex plane, that was presented in a previous
paper, we show that a certain class of non-integrable real functions can be
represented within that same structure. In previous papers it was shown that
essentially all i... | 0 | 0 | 1 | 0 | 0 | 0 |
Convolution Aware Initialization | Initialization of parameters in deep neural networks has been shown to have a
big impact on the performance of the networks (Mishkin & Matas, 2015). The
initialization scheme devised by He et al, allowed convolution activations to
carry a constrained mean which allowed deep networks to be trained effectively
(He et a... | 1 | 0 | 0 | 1 | 0 | 0 |
A Multitask Diffusion Strategy with Optimized Inter-Cluster Cooperation | We consider a multitask estimation problem where nodes in a network are
divided into several connected clusters, with each cluster performing a
least-mean-squares estimation of a different random parameter vector. Inspired
by the adapt-then-combine diffusion strategy, we propose a multitask diffusion
strategy whose m... | 1 | 0 | 0 | 0 | 0 | 0 |
High Resolution Observations of the Massive Protostar in IRAS18566+0408 | We report 3 mm continuum, CH3CN(5-4) and 13CS(2-1) line observations with
CARMA, in conjunction with 6 and 1.3 cm continuum VLA data, and 12 and 25
micron broadband data from the Subaru Telescope toward the massive proto-star
IRAS18566+0408. The VLA data resolve the ionized jet into 4 components aligned
in the E-W di... | 0 | 1 | 0 | 0 | 0 | 0 |
MEDL and MEDLA: Methods for Assessment of Scaling by Medians of Log-Squared Nondecimated Wavelet Coefficients | High-frequency measurements and images acquired from various sources in the
real world often possess a degree of self-similarity and inherent regular
scaling. When data look like a noise, the scaling exponent may be the only
informative feature that summarizes such data. Methods for the assessment of
self-similarity ... | 0 | 0 | 0 | 1 | 0 | 0 |
A Two-Level Graph Partitioning Problem Arising in Mobile Wireless Communications | In the k-partition problem (k-PP), one is given an edge-weighted undirected
graph, and one must partition the node set into at most k subsets, in order to
minimise (or maximise) the total weight of the edges that have their end-nodes
in the same cluster. Various hierarchical variants of this problem have been
studied... | 1 | 0 | 1 | 0 | 0 | 0 |
Emotion Specification from Musical Stimuli: An EEG Study with AFA and DFA | The present study reports interesting findings in regard to emotional arousal
based activities while listening to two Hindustani classical ragas of contrast
emotion. EEG data was taken on 5 naive listeners while they listened to two
ragas Bahar and Mia ki Malhar which are conventionally known to portray
contrast emot... | 0 | 1 | 0 | 0 | 0 | 0 |
The light pollution as a surrogate for urban population of the US cities | We show that the definition of the city boundaries can have a dramatic
influence on the scaling behavior of the night-time light (NTL) as a function
of population (POP) in the US. Precisely, our results show that the arbitrary
geopolitical definition based on the Metropolitan/Consolidated Metropolitan
Statistical Are... | 0 | 1 | 0 | 0 | 0 | 0 |
Analytic calculation of radio emission from parameterized extensive air showers, a tool to extract shower parameters | The radio intensity and polarization footprint of a cosmic-ray induced
extensive air shower is determined by the time-dependent structure of the
current distribution residing in the plasma cloud at the shower front. In turn,
the time dependence of the integrated charge-current distribution in the plasma
cloud, the lo... | 0 | 1 | 0 | 0 | 0 | 0 |
Akhmediev Breathers and Peregrine Solitary Waves in a Quadratic Medium | We investigate the formation of optical localized nonlinear structures,
evolving upon a non-zero background plane wave, in a dispersive quadratic
medium. We show the existence of quadratic Akhmediev breathers and Peregrine
solitary waves, in the regime of cascading second-harmonic generation. This
finding opens a nov... | 0 | 1 | 0 | 0 | 0 | 0 |
Novel approaches to spectral properties of correlated electron materials: From generalized Kohn-Sham theory to screened exchange dynamical mean field theory | The most intriguing properties of emergent materials are typically
consequences of highly correlated quantum states of their electronic degrees of
freedom. Describing those materials from first principles remains a challenge
for modern condensed matter theory. Here, we review, apply and discuss novel
approaches to sp... | 0 | 1 | 0 | 0 | 0 | 0 |
Flux-Rope Twist in Eruptive Flares and CMEs: due to Zipper and Main-Phase Reconnection | The nature of three-dimensional reconnection when a twisted flux tube erupts
during an eruptive flare or coronal mass ejection is considered. The
reconnection has two phases: first of all, 3D "zipper reconnection" propagates
along the initial coronal arcade, parallel to the polarity inversion line
(PIL), then subsequ... | 0 | 1 | 0 | 0 | 0 | 0 |
On the classification of Kantor pairs and structurable algebras in characteristic 5 | We observe that any finite-dimensional central simple 5-graded Lie algebra
over over a field k of characteristic not 2,3 is necessarily classical, i.e. a
twisted form of a Chevalley Lie algebra. Consequently, the classification of
central simple structurable algebras and Kantor pairs over fields of
characteristic 5 d... | 0 | 0 | 1 | 0 | 0 | 0 |
Cross-lingual Distillation for Text Classification | Cross-lingual text classification(CLTC) is the task of classifying documents
written in different languages into the same taxonomy of categories. This paper
presents a novel approach to CLTC that builds on model distillation, which
adapts and extends a framework originally proposed for model compression. Using
soft p... | 1 | 0 | 0 | 0 | 0 | 0 |
Characterization of Majorana-Ising phase transition in a helical liquid system | We map an interacting helical liquid system, coupled to an external magnetic
field and s-wave superconductor, to an XYZ spin system, and it undergoes
Majorana-Ising transition by tuning of parameters. In the Majorana state,
lowest excitation gap decays exponentially with system size, and the system has
degenerate gro... | 0 | 1 | 0 | 0 | 0 | 0 |
Monotonicity and symmetry of nonnegative solutions to $ -Δu=f(u) $ in half-planes and strips | We consider nonnegative solutions to $-\Delta u=f(u)$ in half-planes and
strips, under zero Dirichlet boundary condition. Exploiting a
rotating$\&$sliding line technique, we prove symmetry and monotonicity
properties of the solutions, under very general assumptions on the nonlinearity
$f$. In fact we provide a unifie... | 0 | 0 | 1 | 0 | 0 | 0 |
Gini-regularized Optimal Transport with an Application to Spatio-Temporal Forecasting | Rapidly growing product lines and services require a finer-granularity
forecast that considers geographic locales. However the open question remains,
how to assess the quality of a spatio-temporal forecast? In this manuscript we
introduce a metric to evaluate spatio-temporal forecasts. This metric is based
on an Opti... | 1 | 0 | 0 | 1 | 0 | 0 |
Indicators of Conformal Field Theory: entanglement entropy and multiple-point correlators | The entanglement entropy (EE) of quantum systems is often used as a test of
low-energy descriptions by conformal field theory (CFT). Here we point out that
this is not a reliable indicator, as the EE often shows the same behavior even
when a CFT description is not correct (as long as the system is asymptotically
scal... | 0 | 1 | 0 | 0 | 0 | 0 |
Classical Entanglement Structure in the Wavefunction of Inflationary Fluctuations | We argue that the preferred classical variables that emerge from a pure
quantum state are determined by its entanglement structure in the form of
redundant records: information shared between many subsystems. Focusing on the
early universe, we ask how classical metric perturbations emerge from vacuum
fluctuations in ... | 0 | 1 | 0 | 0 | 0 | 0 |
Pulsejet engine dynamics in vertical motion using momentum conservation | The momentum conservation law is applied to analyse the dynamics of pulsejet
engine in vertical motion in a uniform gravitational field in the absence of
friction. The model predicts existence of a terminal speed given frequency of
the short pulses. The conditions that the engine does not return to the
starting posit... | 0 | 1 | 0 | 0 | 0 | 0 |
Mitigating Blackout Risk via Maintenance : Inference from Simulation Data | Whereas maintenance has been recognized as an important and effective means
for risk management in power systems, it turns out to be intractable if
cascading blackout risk is considered due to the extremely high computational
complexity. In this paper, based on the inference from the blackout simulation
data, we prop... | 0 | 0 | 0 | 1 | 0 | 0 |
Evolving to Non-round Weingarten Spheres: Integer Linear Hopf Flows | In the 1950's Hopf gave examples of non-round convex 2-spheres in Euclidean
3-space with rotational symmetry that satisfy a linear relationship between
their principal curvatures. In this paper we investigate conditions under which
evolving a smooth rotationally symmetric sphere by a linear combination of its
radii o... | 0 | 0 | 1 | 0 | 0 | 0 |
On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems | We revisit the linear programming approach to deterministic, continuous time,
infinite horizon discounted optimal control problems. In the first part, we
relax the original problem to an infinite-dimensional linear program over a
measure space and prove equivalence of the two formulations under mild
assumptions, sign... | 1 | 0 | 1 | 0 | 0 | 0 |
Granular permittivity representation in extremely near-field light-matter interactions processes | Light-matter interaction processes are significantly affected by surrounding
electromagnetic environment. Dielectric materials are usually introduced into
an interaction picture via their classical properties, e.g. permittivity,
appearing in constitutive relations. While this approach was proven to be
applicable in m... | 0 | 1 | 0 | 0 | 0 | 0 |
Application of Superhalogens in the Design of Organic Superconductors | Bechgaard salts, (TMTSF)2X (TMTSF = tetramethyl tetraselenafulvalene and X =
complex anion), form the most popular series of organic superconductors. In
these salts, TMTSF molecules act as super-electron donor and X as acceptor. We
computationally examine the electronic structure and properties of X in
commonly used ... | 0 | 1 | 0 | 0 | 0 | 0 |
Inhomogeneous hard-core bosonic mixture with checkerboard supersolid phase: Quantum and thermal phase diagram | We introduce an inhomogeneous bosonic mixture composed of two kinds of
hard-core and semi-hard-core bosons with different nilpotency conditions and
demonstrate that in contrast with the standard hard-core Bose-Hubbard model,
our bosonic mixture with nearest- and next-nearest-neighbor interactions on a
square lattice ... | 0 | 1 | 0 | 0 | 0 | 0 |
Width-$k$ Generalizations of Classical Permutation Statistics | We introduce new natural generalizations of the classical descent and
inversion statistics for permutations, called width-$k$ descents and width-$k$
inversions. These variations induce generalizations of the excedance and major
statistics, providing a framework in which the most well-known
equidistributivity results ... | 0 | 0 | 1 | 0 | 0 | 0 |
Klout Topics for Modeling Interests and Expertise of Users Across Social Networks | This paper presents Klout Topics, a lightweight ontology to describe social
media users' topics of interest and expertise. Klout Topics is designed to: be
human-readable and consumer-friendly; cover multiple domains of knowledge in
depth; and promote data extensibility via knowledge base entities. We discuss
why this... | 1 | 0 | 0 | 0 | 0 | 0 |
Set-Based Tests for Genetic Association Using the Generalized Berk-Jones Statistic | Studying the effects of groups of Single Nucleotide Polymorphisms (SNPs), as
in a gene, genetic pathway, or network, can provide novel insight into complex
diseases, above that which can be gleaned from studying SNPs individually.
Common challenges in set-based genetic association testing include weak effect
sizes, c... | 0 | 0 | 0 | 1 | 0 | 0 |
Comprehensive Modeling of Three-Phase Distribution Systems via the Bus Admittance Matrix | The theme of this paper is three-phase distribution system modeling suitable
for the Z-Bus load-flow. Detailed models of wye and delta constant-power,
constant-current, and constant-impedance loads are presented. Models of
transmission lines, voltage regulators, and transformers that build the bus
admittance matrix (... | 1 | 0 | 1 | 0 | 0 | 0 |
$c$-vectors of 2-Calabi--Yau categories and Borel subalgebras of ${\mathfrak{sl}}_{\infty}$ | We develop a general framework for $c$-vectors of 2-Calabi--Yau categories,
which deals with cluster tilting subcategories that are not reachable from each
other and contain infinitely many indecomposable objects. It does not rely on
iterative sequences of mutations.
We prove a categorical (infinite-rank) generalizat... | 0 | 0 | 1 | 0 | 0 | 0 |
Electrostatic interaction between non-identical charged particles at an electrolyte interface | In this thesis we study the lateral electrostatic interaction between a pair
of non-identical, moderately charged colloidal particles trapped at an
electrolyte interface in the limit of short inter-particle separations. Using a
simplified model system we solve the problem analytically within the framework
of linearis... | 0 | 1 | 0 | 0 | 0 | 0 |
The weighted connection and sectional curvature for manifolds with density | In this paper we study sectional curvature bounds for Riemannian manifolds
with density from the perspective of a weighted torsion free connection
introduced recently by the last two authors. We develop two new tools for
studying weighted sectional curvature bounds: a new weighted Rauch comparison
theorem and a modif... | 0 | 0 | 1 | 0 | 0 | 0 |
Control and Limit Enforcements for VSC Multi-Terminal HVDC in Newton Power Flow | This paper proposes a novel method to automatically enforce controls and
limits for Voltage Source Converter (VSC) based multi-terminal HVDC in the
Newton power flow iteration process. A general VSC MT-HVDC model with primary
PQ or PV control and secondary voltage control is formulated. Both the
dependent and indepen... | 1 | 0 | 0 | 0 | 0 | 0 |
A.Ya. Khintchine's Work in Probability Theory | The paper is devoted to the contribution in the Probability Theory of the
well-known Soviet mathematician Alexander Yakovlevich Khintchine (1894-1959).
Several of his results are described, in particular those fundamental results
on the infinitely divisible distributions. Attention is paid also to his
interaction wit... | 0 | 0 | 1 | 0 | 0 | 0 |
Dynamic Complexity under Definable Changes | This paper studies dynamic complexity under definable change operations in
the DynFO framework by Patnaik and Immerman. It is shown that for changes
definable by parameter-free first-order formulas, all (uniform) $AC^1$ queries
can be maintained by first-order dynamic programs. Furthermore, many
maintenance results f... | 1 | 0 | 0 | 0 | 0 | 0 |
The Planar Sandwich and Other 1D Planar Heat Flow Test Problems in ExactPack | This report documents the implementation of several related 1D heat flow
problems in the verification package ExactPack. In particular, the planar
sandwich class defined by Dawes et al., as well as the classes
PlanarSandwichHot, PlanarSandwichHalf, and other generalizations of the planar
sandwich problem, are defined... | 0 | 1 | 0 | 0 | 0 | 0 |
Difficulties of Timestamping Archived Web Pages | We show that state-of-the-art services for creating trusted timestamps in
blockchain-based networks do not adequately allow for timestamping of web
pages. They accept data by value (e.g., images and text), but not by reference
(e.g., URIs of web pages). Also, we discuss difficulties in repeatedly
generating the same ... | 1 | 0 | 0 | 0 | 0 | 0 |
Cops and robber on grids and tori | This paper is a contribution to the classical cops and robber problem on a
graph, directed to two-dimensional grids and toroidal grids. These studies are
generally aimed at determining the minimum number of cops needed to capture the
robber and proposing algorithms for the capture. We apply some new concepts to
propo... | 1 | 0 | 0 | 0 | 0 | 0 |
Measuring Gender Inequalities of German Professions on Wikipedia | Wikipedia is a community-created online encyclopedia; arguably, it is the
most popular and largest knowledge resource on the Internet. Thus, reliability
and neutrality are of high importance for Wikipedia. Previous research [3]
reveals gender bias in Google search results for many professions and
occupations. Also, W... | 1 | 0 | 0 | 0 | 0 | 0 |
Contact Adaption during Epidemics: A Multilayer Network Formulation Approach | People change their physical contacts as a preventive response to infectious
disease propagations. Yet, only a few mathematical models consider the coupled
dynamics of the disease propagation and the contact adaptation process. This
paper presents a model where each agent has a default contact neighborhood set,
and s... | 1 | 0 | 0 | 0 | 0 | 0 |
Estimation in the convolution structure density model. Part I: oracle inequalities | We study the problem of nonparametric estimation under $\bL_p$-loss, $p\in
[1,\infty)$, in the framework of the convolution structure density model on
$\bR^d$. This observation scheme is a generalization of two classical
statistical models, namely density estimation under direct and indirect
observations. In Part I t... | 0 | 0 | 1 | 1 | 0 | 0 |
Candidate exoplanet host HD131399A: a nascent Am star | Direct imaging suggests that there is a Jovian exoplanet around the primary
A-star in the triple-star system HD131399. We investigate a high-quality
spectrum of the primary component HD131399A obtained with FEROS on the ESO/MPG
2.2m telescope, aiming to characterise the star's atmospheric and fundamental
parameters, ... | 0 | 1 | 0 | 0 | 0 | 0 |
Toward Quantum Combinatorial Games | In this paper, we propose a Quantum variation of combinatorial games,
generalizing the Quantum Tic-Tac-Toe proposed by Allan Goff. A combinatorial
game is a two-player game with no chance and no hidden information, such as Go
or Chess. In this paper, we consider the possibility of playing superpositions
of moves in s... | 1 | 0 | 0 | 0 | 0 | 0 |
Markov $L_2$ inequality with the Gegenbauer weight | For the Gegenbauer weight function $w_{\lambda}(t)=(1-t^2)^{\lambda-1/2}$,
$\lambda>-1/2$, we denote by $\Vert\cdot\Vert_{w_{\lambda}}$ the associated
$L_2$-norm, $$ \Vert
f\Vert_{w_{\lambda}}:=\Big(\int_{-1}^{1}w_{\lambda}(t)f^2(t)\,dt\Big)^{1/2}. $$
We study the Markov inequality $$ \Vert p^{\prime}\Vert_{w_{\lambd... | 0 | 0 | 1 | 0 | 0 | 0 |
A Note on Some Approximation Kernels on the Sphere | We produce precise estimates for the Kogbetliantz kernel for the
approximation of functions on the sphere. Furthermore, we propose and study a
new approximation kernel, which has slightly better properties.
| 0 | 0 | 1 | 0 | 0 | 0 |
Machine Learning as Statistical Data Assimilation | We identify a strong equivalence between neural network based machine
learning (ML) methods and the formulation of statistical data assimilation
(DA), known to be a problem in statistical physics. DA, as used widely in
physical and biological sciences, systematically transfers information in
observations to a model o... | 1 | 0 | 0 | 1 | 0 | 0 |
Nonparametric estimation of the kernel function of symmetric stable moving average random functions | We use the empirical normalized (smoothed) periodogram of a $S\alpha S$
moving average random function to estimate its kernel function from high
frequency observation data. The weak consistency of the estimator is shown. A
simulation study of the performance of the estimates rounds up the paper.
| 0 | 0 | 1 | 1 | 0 | 0 |
Fermions in Two Dimensions: Scattering and Many-Body Properties | Ultracold atomic Fermi gases in two-dimensions (2D) are an increasingly
popular topic of research. The interaction strength between spin-up and
spin-down particles in two-component Fermi gases can be tuned in experiments,
allowing for a strongly interacting regime where the gas properties are yet to
be fully understo... | 0 | 1 | 0 | 0 | 0 | 0 |
Moving Horizon Estimation for ARMAX process with t-Distribution Noise | In this paper, instead of the usual Gaussian noise assumption,
$t$-distribution noise is assumed. A Maximum Likelihood Estimator using the
most recent N measurements is proposed for the Auto-Regressive-Moving-Average
with eXogenous input (ARMAX) process with this assumption. The proposed
estimator is robust to outlie... | 1 | 0 | 0 | 0 | 0 | 0 |
Chimera states in brain networks: empirical neural vs. modular fractal connectivity | Complex spatiotemporal patterns, called chimera states, consist of coexisting
coherent and incoherent domains and can be observed in networks of coupled
oscillators. The interplay of synchrony and asynchrony in complex brain
networks is an important aspect in studies of both brain function and disease.
We analyse the... | 0 | 1 | 0 | 0 | 0 | 0 |
Bayesian surrogate learning in dynamic simulator-based regression problems | The estimation of unknown values of parameters (or hidden variables, control
variables) that characterise a physical system often relies on the comparison
of measured data with synthetic data produced by some numerical simulator of
the system as the parameter values are varied. This process often encounters
two major... | 1 | 0 | 0 | 1 | 0 | 0 |
Stationary solutions for the ellipsoidal BGK model in a slab | We address the boundary value problem for the ellipsoidal BGK model of the
Boltzmann equation posed in a bounded interval. The existence of a unique mild
solution is established under the assumption that the inflow boundary data does
not concentrate too much around the zero velocity, and the gas is sufficiently
raref... | 0 | 0 | 1 | 0 | 0 | 0 |
Raman signatures of monoclinic distortion in (Ba$_{1-x}$Sr$_{x}$)$_{3}$CaNb$_{2}$O$_{9}$ complex perovskites | Octahedral tilting is most common distortion process observed in
centrosymmetric perovskite compounds (ABO$_{3}$). Indeed, crucial physical
properties of this oxide stem from the tilts of BO$_{6}$ rigid octahedra. In
microwave ceramics with perovskite-type structure, there is a close relation
between the temperature ... | 0 | 1 | 0 | 0 | 0 | 0 |
On Quadratic Penalties in Elastic Weight Consolidation | Elastic weight consolidation (EWC, Kirkpatrick et al, 2017) is a novel
algorithm designed to safeguard against catastrophic forgetting in neural
networks. EWC can be seen as an approximation to Laplace propagation (Eskin et
al, 2004), and this view is consistent with the motivation given by Kirkpatrick
et al (2017). ... | 1 | 0 | 0 | 1 | 0 | 0 |
The design of the ILD forward region | Following the decision to reduce the L* from 4.4 m to 4.1 m, the BeamCal had
to be moved closer to the interaction point. Results of a study of how this
affects the beamstrahlung and backward scattering backgrounds show that the
e+e- pair background depositions from beamstrahlung at the BeamCal rises by
20%. The back... | 0 | 1 | 0 | 0 | 0 | 0 |
Conduction Channel Formation and Dissolution Due to Oxygen Thermophoresis/Diffusion in Hafnium Oxide Memristors | Transition metal oxide memristors, or resistive random-access memory (RRAM)
switches, are under intense development for storage-class memory because of
their favorable operating power, endurance, speed, and density. Their
commercial deployment critically depends on predictive compact models based on
understanding nan... | 0 | 1 | 0 | 0 | 0 | 0 |
Improving Massive MIMO Belief Propagation Detector with Deep Neural Network | In this paper, deep neural network (DNN) is utilized to improve the belief
propagation (BP) detection for massive multiple-input multiple-output (MIMO)
systems. A neural network architecture suitable for detection task is firstly
introduced by unfolding BP algorithms. DNN MIMO detectors are then proposed
based on two... | 0 | 0 | 0 | 1 | 0 | 0 |
Trend Analysis on the Metadata of Program Comprehension Papers | As program comprehension is a vast research area, it is necessary to get an
overview of its rising and falling trends. We performed an n-gram frequency
analysis on titles, abstracts and keywords of 1885 articles about program
comprehension from the years 2000-2014. According to this analysis, the most
rising trends a... | 1 | 0 | 0 | 0 | 0 | 0 |
Combinatorial views on persistent characters in phylogenetics | The so-called binary perfect phylogeny with persistent characters has
recently been thoroughly studied in computational biology as it is less
restrictive than the well known binary perfect phylogeny. Here, we focus on the
notion of (binary) persistent characters, i.e. characters that can be realized
on a phylogenetic... | 0 | 0 | 0 | 0 | 1 | 0 |
Distribution of residuals in the nonparametric IV model with application to separability testing | We develop a uniform asymptotic expansion for the empirical distribution
function of residuals in the nonparametric IV regression. Such expansion opens
a door for construction of a broad range of residual-based specification tests
in nonparametric IV models. Building on obtained result, we develop a test for
the sepa... | 0 | 0 | 1 | 1 | 0 | 0 |
Scene Graph Generation by Iterative Message Passing | Understanding a visual scene goes beyond recognizing individual objects in
isolation. Relationships between objects also constitute rich semantic
information about the scene. In this work, we explicitly model the objects and
their relationships using scene graphs, a visually-grounded graphical structure
of an image. ... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Apparent Power Law in CDM Halo Pseudo Phase Space Density Profiles | We investigate the apparent power-law scaling of the pseudo phase space
density (PPSD) in CDM halos. We study fluid collapse, using the close analogy
between the gas entropy and the PPSD in the fluid approximation. Our
hydrodynamic calculations allow for a precise evaluation of logarithmic
derivatives. For scale-free... | 0 | 1 | 0 | 0 | 0 | 0 |
Heavy tailed approximate identities and $σ$-stable Markov kernels | The aim of this paper is to present some results relating the properties of
stability, concentration and approximation to the identity of convolution
through not necessarily mollification type families of heavy tailed Markov
kernels. A particular case is provided by the kernels $K_t$ obtained as the $t$
mollification... | 0 | 0 | 1 | 0 | 0 | 0 |
Spreading of correlations in the Falicov-Kimball model | We study dynamical properties of the one- and two-dimensional Falicov-Kimball
model using lattice Monte Carlo simulations. In particular, we calculate the
spreading of charge correlations in the equilibrium model and after an
interaction quench. The results show a reduction of the light-cone velocity
with interaction... | 0 | 1 | 0 | 0 | 0 | 0 |
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios | We propose a direct estimation method for Rényi and f-divergence measures
based on a new graph theoretical interpretation. Suppose that we are given two
sample sets $X$ and $Y$, respectively with $N$ and $M$ samples, where
$\eta:=M/N$ is a constant value. Considering the $k$-nearest neighbor ($k$-NN)
graph of $Y$ in ... | 1 | 0 | 0 | 1 | 0 | 0 |
Efficiently Learning Mixtures of Mallows Models | Mixtures of Mallows models are a popular generative model for ranking data
coming from a heterogeneous population. They have a variety of applications
including social choice, recommendation systems and natural language
processing. Here we give the first polynomial time algorithm for provably
learning the parameters ... | 0 | 0 | 0 | 1 | 0 | 0 |
Optimal Scheduling of Electrolyzer in Power Market with Dynamic Prices | Optimal scheduling of hydrogen production in dynamic pricing power market can
maximize the profit of hydrogen producer; however, it highly depends on the
accurate forecast of hydrogen consumption. In this paper, we propose a deep
leaning based forecasting approach for predicting hydrogen consumption of fuel
cell vehi... | 0 | 0 | 0 | 1 | 0 | 0 |
Determination of the thermopower of microscale samples with an AC method | A modified AC method based on micro-fabricated heater and resistive
thermometers has been applied to measure the thermopower of microscale samples.
A sinusoidal current with frequency {\omega} is passed to the heater to
generate an oscillatory temperature difference across the sample at a frequency
2{\omega}, which s... | 0 | 1 | 0 | 0 | 0 | 0 |
Food for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program | This project explores public opinion on the Supplemental Nutrition Assistance
Program (SNAP) in news and social media outlets, and tracks elected
representatives' voting records on issues relating to SNAP and food insecurity.
We used machine learning, sentiment analysis, and text mining to analyze
national and state ... | 1 | 0 | 0 | 0 | 0 | 0 |
Hasse diagrams of non-isomorphic posets with $n$ elements, $2\leq n \leq 7,$ and the number of posets with $10$ elements, without the aid of any computer program | Let $P(n)$ be the set of all posets with $n$ elements and $NIP(n)$ the set of
non-isomorphic posets with $n$ elements. Let $P^{(j)}(n)$, $1\leq j\leq 2^n,$
be the number of all posets with $n$ elements possessing exactly $j$
antichains. We have determined the numbers $P^{(j)}(7),$ $1\leq j\leq 128$, and
using a resul... | 0 | 0 | 1 | 0 | 0 | 0 |
Variable screening with multiple studies | Advancement in technology has generated abundant high-dimensional data that
allows integration of multiple relevant studies. Due to their huge
computational advantage, variable screening methods based on marginal
correlation have become promising alternatives to the popular regularization
methods for variable selecti... | 0 | 0 | 1 | 1 | 0 | 0 |
Gaussian-Constrained training for speaker verification | Neural models, in particular the d-vector and x-vector architectures, have
produced state-of-the-art performance on many speaker verification tasks.
However, two potential problems of these neural models deserve more
investigation. Firstly, both models suffer from `information leak', which means
that some parameters ... | 1 | 0 | 0 | 0 | 0 | 0 |
Structural Change in (Economic) Time Series | Methods for detecting structural changes, or change points, in time series
data are widely used in many fields of science and engineering. This chapter
sketches some basic methods for the analysis of structural changes in time
series data. The exposition is confined to retrospective methods for univariate
time series... | 0 | 1 | 0 | 1 | 0 | 0 |
Exploiting Hierarchy in the Abstraction-Based Verification of Statecharts Using SMT Solvers | Statecharts are frequently used as a modeling formalism in the design of
state-based systems. Formal verification techniques are also often applied to
prove certain properties about the behavior of the system. One of the most
efficient techniques for formal verification is Counterexample-Guided
Abstraction Refinement... | 1 | 0 | 0 | 0 | 0 | 0 |
Modulus consensus in discrete-time signed networks and properties of special recurrent inequalities | Recently the dynamics of signed networks, where the ties among the agents can
be both positive (attractive) or negative (repulsive) have attracted
substantial attention of the research community. Examples of such networks are
models of opinion dynamics over signed graphs, recently introduced by Altafini
(2012,2013) a... | 1 | 1 | 1 | 0 | 0 | 0 |
Mobility Transition at Grain Boundaries in Two-Step Sintered 8 mol% Yttria Stabilized Zirconia | Stagnation of grain growth is often attributed to impurity segregation.
Yttria-stabilized cubic zirconia does not evidence any segregation-induced
slowdown, as its grain growth obeys the parabolic law when the grain size
increases by more than one order of magnitude. However, lowering the
temperature below 1300 oC tr... | 0 | 1 | 0 | 0 | 0 | 0 |
Sufficient conditions for the forcing theorem, and turning proper classes into sets | We present three natural combinatorial properties for class forcing notions,
which imply the forcing theorem to hold. We then show that all known sufficent
conditions for the forcing theorem (except for the forcing theorem itself),
including the three properties presented in this paper, imply yet another
regularity p... | 0 | 0 | 1 | 0 | 0 | 0 |
Cauchy problem for effectively hyperbolic operators with triple characteristics | We study the Cauchy problem for effectively hyperbolic operators $P$ with
principal symbol $p(t, x,\tau,\xi)$ having triple characteristics on $t = 0$.
Under a condition (E) we show that such operators are strongly hyperbolic, that
is the Cauchy problem is well posed for $p(t, x,D_t, D_x) + Q(t, x, D_t, D_x)$
with ar... | 0 | 0 | 1 | 0 | 0 | 0 |
\textit{Ab Initio} results for the Static Structure Factor of the Warm Dense Electron Gas | The uniform electron gas at finite temperature is of high current interest
for warm dense matter research. The complicated interplay of quantum degeneracy
and Coulomb coupling effects is fully contained in the pair distribution
function or, equivalently, the static strucutre factor. By combining exact
quantum Monte C... | 0 | 1 | 0 | 0 | 0 | 0 |
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