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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Mapping of the dark exciton landscape in transition metal dichalcogenides | Transition metal dichalcogenides (TMDs) exhibit a remarkable exciton physics
including optically accessible (bright) as well as spin- and momentum-forbidden
(dark) excitonic states. So far the dark exciton landscape has not been
revealed leaving in particular the spectral position of momentum-forbidden dark
states co... | 0 | 1 | 0 | 0 | 0 | 0 |
Active set algorithms for estimating shape-constrained density ratios | We review and modify the active set algorithm by Duembgen et al. (2011) for
nonparametric maximum-likelihood estimation of a log-concave density. This
particular estimation problem is embedded into a more general framework
including also the estimation of a log-convex tail inflation function as
proposed by McCullagh ... | 0 | 0 | 0 | 1 | 0 | 0 |
Asymptotic orthogonalization of subalgebras in II$_1$ factors | Let $M$ be a II$_1$ factor with a von Neumann subalgebra $Q\subset M$ that
has infinite index under any projection in $Q'\cap M$ (e.g., $Q$ abelian; or
$Q$ an irreducible subfactor with infinite Jones index). We prove that given
any separable subalgebra $B$ of the ultrapower II$_1$ factor $M^\omega$, for a
non-princi... | 0 | 0 | 1 | 0 | 0 | 0 |
Neural Control Variates for Variance Reduction | In statistics and machine learning, approximation of an intractable
integration is often achieved by using the unbiased Monte Carlo estimator, but
the variances of the estimation are generally high in many applications.
Control variates approaches are well-known to reduce the variance of the
estimation. These control... | 0 | 0 | 0 | 1 | 0 | 0 |
On tidal energy in Newtonian two-body motion | In this work, which is based on an essential linear analysis carried out by
Christodoulou, we study the evolution of tidal energy for the motion of two
gravitating incompressible fluid balls with free boundaries obeying the
Euler-Poisson equations. The orbital energy is defined as the mechanical energy
of the two bod... | 0 | 1 | 1 | 0 | 0 | 0 |
Markov-Modulated Linear Regression | Classical linear regression is considered for a case when regression
parameters depend on the external random environment. The last is described as
a continuous time Markov chain with finite state space. Here the expected
sojourn times in various states are additional regressors. Necessary formulas
for an estimation ... | 0 | 0 | 0 | 1 | 0 | 0 |
Compactness of the resolvent for the Witten Laplacian | In this paper we consider the Witten Laplacian on 0-forms and give sufficient
conditions under which the Witten Laplacian admits a compact resolvent. These
conditions are imposed on the potential itself, involving the control of high
order derivatives by lower ones, as well as the control of the positive
eigenvalues ... | 0 | 0 | 1 | 0 | 0 | 0 |
On the Azuma inequality in spaces of subgaussian of rank $p$ random variables | For $p > 1$ let a function $\varphi_p(x) = x^2/2$ if $|x|\le 1$ and
$\varphi_p(x) = 1/p|x|^p -1/p + 1/2$ if $|x| > 1$. For a random variable $\xi$
let $\tau_{\varphi_p}(\xi)$ denote $\inf\{c\ge 0 :\;
\forall_{\lambda\in\mathbb{R}}\;
\ln\mathbb{E}\exp(\lambda\xi)\le\varphi_p(c\lambda)\}$; $\tau_{\varphi_p}$ is a
norm ... | 0 | 0 | 1 | 0 | 0 | 0 |
Realization of the Axial Next-Nearest-Neighbor Ising model in U$_3$Al$_2$Ge$_3$ | Here we report small-angle neutron scattering (SANS) measurements and
theoretical modeling of U$_3$Al$_2$Ge$_3$. Analysis of the SANS data reveals a
phase transition to sinusoidally modulated magnetic order, at
$T_{\mathrm{N}}=63$~K to be second order, and a first order phase transition to
ferromagnetic order at $T_{... | 0 | 1 | 0 | 0 | 0 | 0 |
Long-time asymptotics for the derivative nonlinear Schrödinger equation on the half-line | We derive asymptotic formulas for the solution of the derivative nonlinear
Schrödinger equation on the half-line under the assumption that the initial
and boundary values lie in the Schwartz class. The formulas clearly show the
effect of the boundary on the solution. The approach is based on a nonlinear
steepest desc... | 0 | 1 | 1 | 0 | 0 | 0 |
Non-Semisimple Extended Topological Quantum Field Theories | We develop the general theory for the construction of Extended Topological
Quantum Field Theories (ETQFTs) associated with the Costantino-Geer-Patureau
quantum invariants of closed 3-manifolds. In order to do so, we introduce
relative modular categories, a class of ribbon categories which are modeled on
representatio... | 0 | 0 | 1 | 0 | 0 | 0 |
Community Aware Random Walk for Network Embedding | Social network analysis provides meaningful information about behavior of
network members that can be used for diverse applications such as
classification, link prediction. However, network analysis is computationally
expensive because of feature learning for different applications. In recent
years, many researches h... | 1 | 0 | 0 | 0 | 0 | 0 |
A combined photometric and kinematic recipe for evaluating the nature of bulges using the CALIFA sample | Understanding the nature of bulges in disc galaxies can provide important
insights into the formation and evolution of galaxies. For instance, the
presence of a classical bulge suggests a relatively violent history, in
contrast, the presence of simply an inner disc (also referred to as a
"pseudobulge") indicates the ... | 0 | 1 | 0 | 0 | 0 | 0 |
Fast construction of efficient composite likelihood equations | Growth in both size and complexity of modern data challenges the
applicability of traditional likelihood-based inference. Composite likelihood
(CL) methods address the difficulties related to model selection and
computational intractability of the full likelihood by combining a number of
low-dimensional likelihood ob... | 0 | 0 | 1 | 1 | 0 | 0 |
State-selective influence of the Breit interaction on the angular distribution of emitted photons following dielectronic recombination | We report a measurement of $KLL$ dielectronic recombination in charge states
from Kr$^{+34}$ through Kr$^{+28}$, in order to investigate the contribution of
Breit interaction for a wide range of resonant states. Highly charged Kr ions
were produced in an electron beam ion trap, while the electron-ion collision
energy... | 0 | 1 | 0 | 0 | 0 | 0 |
Anti-spoofing Methods for Automatic SpeakerVerification System | Growing interest in automatic speaker verification (ASV)systems has lead to
significant quality improvement of spoofing attackson them. Many research works
confirm that despite the low equal er-ror rate (EER) ASV systems are still
vulnerable to spoofing attacks. Inthis work we overview different acoustic
feature spac... | 1 | 0 | 0 | 1 | 0 | 0 |
Face Deidentification with Generative Deep Neural Networks | Face deidentification is an active topic amongst privacy and security
researchers. Early deidentification methods relying on image blurring or
pixelization were replaced in recent years with techniques based on formal
anonymity models that provide privacy guaranties and at the same time aim at
retaining certain chara... | 1 | 0 | 0 | 0 | 0 | 0 |
Towards a theory of word order. Comment on "Dependency distance: a new perspective on syntactic patterns in natural language" by Haitao Liu et al | Comment on "Dependency distance: a new perspective on syntactic patterns in
natural language" by Haitao Liu et al
| 1 | 1 | 0 | 0 | 0 | 0 |
Optimal Frequency Ranges for Sub-Microsecond Precision Pulsar Timing | Precision pulsar timing requires optimization against measurement errors and
astrophysical variance from the neutron stars themselves and the interstellar
medium. We investigate optimization of arrival time precision as a function of
radio frequency and bandwidth. We find that increases in bandwidth that reduce
the c... | 0 | 1 | 0 | 0 | 0 | 0 |
Submodular Mini-Batch Training in Generative Moment Matching Networks | This article was withdrawn because (1) it was uploaded without the
co-authors' knowledge or consent, and (2) there are allegations of plagiarism.
| 1 | 0 | 0 | 0 | 0 | 0 |
Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction | Traffic speed is a key indicator for the efficiency of an urban
transportation system. Accurate modeling of the spatiotemporally varying
traffic speed thus plays a crucial role in urban planning and development. This
paper addresses the problem of efficient fine-grained traffic speed prediction
using big traffic data... | 1 | 0 | 0 | 0 | 0 | 0 |
Vertex algebras associated with hypertoric varieties | We construct a family of vertex algebras associated with a family of
symplectic singularity/resolution, called hypertoric varieties. While the
hypertoric varieties are constructed by a certain Hamiltonian reduction
associated with a torus action, our vertex algebras are constructed by
(semi-infinite) BRST reduction. ... | 0 | 0 | 1 | 0 | 0 | 0 |
Bit-Vector Model Counting using Statistical Estimation | Approximate model counting for bit-vector SMT formulas (generalizing \#SAT)
has many applications such as probabilistic inference and quantitative
information-flow security, but it is computationally difficult. Adding random
parity constraints (XOR streamlining) and then checking satisfiability is an
effective approx... | 1 | 0 | 0 | 0 | 0 | 0 |
Stochastic Reformulations of Linear Systems: Algorithms and Convergence Theory | We develop a family of reformulations of an arbitrary consistent linear
system into a stochastic problem. The reformulations are governed by two
user-defined parameters: a positive definite matrix defining a norm, and an
arbitrary discrete or continuous distribution over random matrices. Our
reformulation has several... | 1 | 0 | 0 | 1 | 0 | 0 |
Isotropic-Nematic Phase Transitions in Gravitational Systems | We examine dense self-gravitating stellar systems dominated by a central
potential, such as nuclear star clusters hosting a central supermassive black
hole. Different dynamical properties of these systems evolve on vastly
different timescales. In particular, the orbital-plane orientations are
typically driven into in... | 0 | 1 | 0 | 0 | 0 | 0 |
Topological Semimetals carrying Arbitrary Hopf Numbers: Hopf-Link, Solomon's-Knot, Trefoil-Knot and Other Semimetals | We propose a new type of Hopf semimetals indexed by a pair of numbers
$(p,q)$, where the Hopf number is given by $pq$. The Fermi surface is given by
the preimage of the Hopf map, which is nontrivially linked for a nonzero Hopf
number. The Fermi surface forms a torus link, whose examples are the Hopf link
indexed by $... | 0 | 1 | 0 | 0 | 0 | 0 |
Online Learning with Abstention | We present an extensive study of the key problem of online learning where
algorithms are allowed to abstain from making predictions. In the adversarial
setting, we show how existing online algorithms and guarantees can be adapted
to this problem. In the stochastic setting, we first point out a bias problem
that limit... | 1 | 0 | 0 | 0 | 0 | 0 |
Stabilization of self-mode-locked quantum dash lasers by symmetric dual-loop optical feedback | We report experimental studies of the influence of symmetric dual-loop
optical feedback on the RF linewidth and timing jitter of self-mode-locked
two-section quantum dash lasers emitting at 1550 nm. Various feedback schemes
were investigated and optimum levels determined for narrowest RF linewidth and
low timing jitt... | 0 | 1 | 0 | 0 | 0 | 0 |
Sensitivity Analysis for Mirror-Stratifiable Convex Functions | This paper provides a set of sensitivity analysis and activity identification
results for a class of convex functions with a strong geometric structure, that
we coined "mirror-stratifiable". These functions are such that there is a
bijection between a primal and a dual stratification of the space into
partitioning se... | 0 | 0 | 1 | 1 | 0 | 0 |
Coupling Story to Visualization: Using Textual Analysis as a Bridge Between Data and Interpretation | Online writers and journalism media are increasingly combining visualization
(and other multimedia content) with narrative text to create narrative
visualizations. Often, however, the two elements are presented independently of
one another. We propose an approach to automatically integrate text and
visualization elem... | 1 | 0 | 0 | 0 | 0 | 0 |
Automatic Prediction of Discourse Connectives | Accurate prediction of suitable discourse connectives (however, furthermore,
etc.) is a key component of any system aimed at building coherent and fluent
discourses from shorter sentences and passages. As an example, a dialog system
might assemble a long and informative answer by sampling passages extracted
from diff... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning | Although reinforcement learning methods can achieve impressive results in
simulation, the real world presents two major challenges: generating samples is
exceedingly expensive, and unexpected perturbations or unseen situations cause
proficient but specialized policies to fail at test time. Given that it is
impractica... | 1 | 0 | 0 | 1 | 0 | 0 |
A Novel Receiver Design with Joint Coherent and Non-Coherent Processing | In this paper, we propose a novel splitting receiver, which involves joint
processing of coherently and non-coherently received signals. Using a passive
RF power splitter, the received signal at each receiver antenna is split into
two streams which are then processed by a conventional coherent detection (CD)
circuit ... | 1 | 0 | 0 | 0 | 0 | 0 |
Comment on the Equality Condition for the I-MMSE Proof of Entropy Power Inequality | The paper establishes the equality condition in the I-MMSE proof of the
entropy power inequality (EPI). This is done by establishing an exact
expression for the deficit between the two sides of the EPI. Interestingly, a
necessary condition for the equality is established by making a connection to
the famous Cauchy fu... | 1 | 0 | 0 | 0 | 0 | 0 |
Feature discovery and visualization of robot mission data using convolutional autoencoders and Bayesian nonparametric topic models | The gap between our ability to collect interesting data and our ability to
analyze these data is growing at an unprecedented rate. Recent algorithmic
attempts to fill this gap have employed unsupervised tools to discover
structure in data. Some of the most successful approaches have used
probabilistic models to uncov... | 1 | 0 | 0 | 1 | 0 | 0 |
Multiplicative models for frequency data, estimation and testing | This paper is about models for a vector of probabilities whose elements must
have a multiplicative structure and sum to 1 at the same time; in certain
applications, as basket analysis, these models may be seen as a constrained
version of quasi-independence. After reviewing the basic properties of these
models, their ... | 0 | 0 | 1 | 1 | 0 | 0 |
An Efficient Keyless Fragmentation Algorithm for Data Protection | The family of Information Dispersal Algorithms is applied to distributed
systems for secure and reliable storage and transmission. In comparison with
perfect secret sharing it achieves a significantly smaller memory overhead and
better performance, but provides only incremental confidentiality. Therefore,
even if it ... | 1 | 0 | 0 | 0 | 0 | 0 |
Schramm--Loewner-evolution-type growth processes corresponding to Wess--Zumino--Witten theories | A group theoretical formulation of Schramm--Loewner-evolution-type growth
processes corresponding to Wess--Zumino--Witten theories is developed that
makes it possible to construct stochastic differential equations associated
with more general null vectors than the ones considered in the most fundamental
example in [A... | 0 | 0 | 1 | 0 | 0 | 0 |
Explicit Commutativity Conditions for Second-order Linear Time-Varying Systems with Non-Zero Initial Conditions | Although the explicit commutativitiy conditions for second-order linear
time-varying systems have been appeared in some literature, these are all for
initially relaxed systems. This paper presents explicit necessary and
sufficient commutativity conditions for commutativity of second-order linear
time-varying systems ... | 1 | 0 | 0 | 0 | 0 | 0 |
Energy Acceptance of the St. George Recoil Separator | Radiative alpha-capture, ($\alpha,\gamma$), reactions play a critical role in
nucleosynthesis and nuclear energy generation in a variety of astrophysical
environments. The St. George recoil separator at the University of Notre Dame's
Nuclear Science Laboratory was developed to measure ($\alpha,\gamma$) reactions
in i... | 0 | 1 | 0 | 0 | 0 | 0 |
Topological and Algebraic Characterizations of Gallai-Simplicial Complexes | We recall first Gallai-simplicial complex $\Delta_{\Gamma}(G)$ associated to
Gallai graph $\Gamma(G)$ of a planar graph $G$. The Euler characteristic is a
very useful topological and homotopic invariant to classify surfaces. In
Theorems 3.2 and 3.4, we compute Euler characteristics of Gallai-simplicial
complexes asso... | 0 | 0 | 1 | 0 | 0 | 0 |
Fairness risk measures | Ensuring that classifiers are non-discriminatory or fair with respect to a
sensitive feature (e.g., race or gender) is a topical problem. Progress in this
task requires fixing a definition of fairness, and there have been several
proposals in this regard over the past few years. Several of these, however,
assume eith... | 1 | 0 | 0 | 1 | 0 | 0 |
On-line tracing of XACML-based policy coverage criteria | Currently, eXtensible Access Control Markup Language (XACML) has becoming the
standard for implementing access control policies and consequently more
attention is dedicated to testing the correctness of XACML policies. In
particular, coverage measures can be adopted for assessing test strategy
effectiveness in exerci... | 1 | 0 | 0 | 0 | 0 | 0 |
The square lattice Ising model on the rectangle II: Finite-size scaling limit | Based on the results published recently [J. Phys. A: Math. Theor. 50, 065201
(2017)], the universal finite-size contributions to the free energy of the
square lattice Ising model on the $L\times M$ rectangle, with open boundary
conditions in both directions, are calculated exactly in the finite-size
scaling limit $L,... | 0 | 1 | 1 | 0 | 0 | 0 |
Using MRI Cell Tracking to Monitor Immune Cell Recruitment in Response to a Peptide-Based Cancer Vaccine | Purpose: MRI cell tracking can be used to monitor immune cells involved in
the immunotherapy response, providing insight into the mechanism of action,
temporal progression of tumour growth and individual potency of therapies. To
evaluate whether MRI could be used to track immune cell populations in response
to immuno... | 0 | 1 | 0 | 0 | 0 | 0 |
Entropic Spectral Learning in Large Scale Networks | We present a novel algorithm for learning the spectral density of large scale
networks using stochastic trace estimation and the method of maximum entropy.
The complexity of the algorithm is linear in the number of non-zero elements of
the matrix, offering a computational advantage over other algorithms. We apply
our... | 0 | 0 | 0 | 1 | 0 | 0 |
On Green's proof of infinitesimal Torelli theorem for hypersurfaces | We prove an equivalence between the infinitesimal Torelli theorem for top
forms on a hypersurface contained inside a Grassmannian $\mathbb G$ and the
theory of adjoint volume forms presented in L. Rizzi, F. Zucconi, "Generalized
adjoint forms on algebraic varieties", Ann. Mat. Pura e Applicata, in press.
More precise... | 0 | 0 | 1 | 0 | 0 | 0 |
Gentle heating by mixing in cooling flow clusters | We analyze three-dimensional hydrodynamical simulations of the interaction of
jets and the bubbles they inflate with the intra-cluster medium (ICM), and show
that the heating of the ICM by mixing hot bubble gas with the ICM operates over
tens of millions of years, and hence can smooth the sporadic activity of the
jet... | 0 | 1 | 0 | 0 | 0 | 0 |
Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization | This paper tackles the reduction of redundant repeating generation that is
often observed in RNN-based encoder-decoder models. Our basic idea is to
jointly estimate the upper-bound frequency of each target vocabulary in the
encoder and control the output words based on the estimation in the decoder.
Our method shows ... | 1 | 0 | 0 | 1 | 0 | 0 |
Some exercises with the Lasso and its compatibility constant | We consider the Lasso for a noiseless experiment where one has observations
$X \beta^0$ and uses the penalized version of basis pursuit. We compute for
some special designs the compatibility constant, a quantity closely related to
the restricted eigenvalue. We moreover show the dependence of the (penalized)
predictio... | 0 | 0 | 1 | 1 | 0 | 0 |
Leveraging Sensory Data in Estimating Transformer Lifetime | Transformer lifetime assessments plays a vital role in reliable operation of
power systems. In this paper, leveraging sensory data, an approach in
estimating transformer lifetime is presented. The winding hottest-spot
temperature, which is the pivotal driver that impacts transformer aging, is
measured hourly via a te... | 1 | 0 | 0 | 0 | 0 | 0 |
Spatial Projection of Multiple Climate Variables using Hierarchical Multitask Learning | Future projection of climate is typically obtained by combining outputs from
multiple Earth System Models (ESMs) for several climate variables such as
temperature and precipitation. While IPCC has traditionally used a simple model
output average, recent work has illustrated potential advantages of using a
multitask l... | 1 | 0 | 0 | 1 | 0 | 0 |
Two-dimensional plasmons in the random impedance network model of disordered thin-film nanocomposites | Random impedance networks are widely used as a model to describe plasmon
resonances in disordered metal-dielectric nanocomposites. In order to study
thin films, two-dimensional networks are often used despite the fact that such
networks correspond to a two-dimensional electrodynamics [J.P. Clerc et al, J.
Phys. A 29,... | 0 | 1 | 0 | 0 | 0 | 0 |
K-edge subtraction vs. A-space processing for x-ray imaging of contrast agents: SNR | Purpose: To compare two methods that use x-ray spectral information to image
externally administered contrast agents: K-edge subtraction and basis-function
decomposition (the A-space method), Methods: The K-edge method uses narrow band
x-ray spectra with energies infinitesimally below and above the contrast
material ... | 0 | 1 | 0 | 0 | 0 | 0 |
Recall Traces: Backtracking Models for Efficient Reinforcement Learning | In many environments only a tiny subset of all states yield high reward. In
these cases, few of the interactions with the environment provide a relevant
learning signal. Hence, we may want to preferentially train on those
high-reward states and the probable trajectories leading to them. To this end,
we advocate for t... | 0 | 0 | 0 | 1 | 0 | 0 |
Path-integral formalism for stochastic resetting: Exactly solved examples and shortcuts to confinement | We study the dynamics of overdamped Brownian particles diffusing in
conservative force fields and undergoing stochastic resetting to a given
location with a generic space-dependent rate of resetting. We present a
systematic approach involving path integrals and elements of renewal theory
that allows to derive analyti... | 0 | 1 | 0 | 0 | 0 | 0 |
A strongly convergent numerical scheme from Ensemble Kalman inversion | The Ensemble Kalman methodology in an inverse problems setting can be viewed
as an iterative scheme, which is a weakly tamed discretization scheme for a
certain stochastic differential equation (SDE). Assuming a suitable
approximation result, dynamical properties of the SDE can be rigorously pulled
back via the discr... | 0 | 0 | 1 | 0 | 0 | 0 |
Attenuation correction for brain PET imaging using deep neural network based on dixon and ZTE MR images | Positron Emission Tomography (PET) is a functional imaging modality widely
used in neuroscience studies. To obtain meaningful quantitative results from
PET images, attenuation correction is necessary during image reconstruction.
For PET/MR hybrid systems, PET attenuation is challenging as Magnetic Resonance
(MR) imag... | 0 | 1 | 0 | 1 | 0 | 0 |
Resolving Local Electrochemistry at the Nanoscale via Electrochemical Strain Microscopy: Modeling and Experiments | Electrochemistry is the underlying mechanism in a variety of energy
conversion and storage systems, and it is well known that the composition,
structure, and properties of electrochemical materials near active interfaces
often deviates substantially and inhomogeneously from the bulk properties. A
universal challenge ... | 0 | 1 | 0 | 0 | 0 | 0 |
Genuine equivariant operads | We build new algebraic structures, which we call genuine equivariant operads,
which can be thought of as a hybrid between equivariant operads and coefficient
systems. We then prove an Elmendorf-Piacenza type theorem stating that
equivariant operads, with their graph model structure, are equivalent to
genuine equivari... | 0 | 0 | 1 | 0 | 0 | 0 |
A linear-time algorithm for the maximum-area inscribed triangle in a convex polygon | Given the n vertices of a convex polygon in cyclic order, can the triangle of
maximum area inscribed in P be determined by an algorithm with O(n) time
complexity? A purported linear-time algorithm by Dobkin and Snyder from 1979
has recently been shown to be incorrect by Keikha, Löffler, Urhausen, and van
der Hoog. Th... | 1 | 0 | 1 | 0 | 0 | 0 |
Estimation of the infinitesimal generator by square-root approximation | For the analysis of molecular processes, the estimation of time-scales, i.e.,
transition rates, is very important. Estimating the transition rates between
molecular conformations is -- from a mathematical point of view -- an invariant
subspace projection problem. A certain infinitesimal generator acting on
function s... | 0 | 1 | 0 | 0 | 0 | 0 |
Korea Microlensing Telescope Network Microlensing Events from 2015: Event-Finding Algorithm, Vetting, and Photometry | We present microlensing events in the 2015 Korea Microlensing Telescope
Network (KMTNet) data and our procedure for identifying these events. In
particular, candidates were detected with a novel "completed event"
microlensing event-finder algorithm. The algorithm works by making linear fits
to a (t0,teff,u0) grid of ... | 0 | 1 | 0 | 0 | 0 | 0 |
Caveat Emptor, Computational Social Science: Large-Scale Missing Data in a Widely-Published Reddit Corpus | As researchers use computational methods to study complex social behaviors at
scale, the validity of this computational social science depends on the
integrity of the data. On July 2, 2015, Jason Baumgartner published a dataset
advertised to include ``every publicly available Reddit comment'' which was
quickly shared... | 1 | 0 | 0 | 0 | 0 | 0 |
Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates | Skeleton-based human action recognition has attracted a lot of research
attention during the past few years. Recent works attempted to utilize
recurrent neural networks to model the temporal dependencies between the 3D
positional configurations of human body joints for better analysis of human
activities in the skele... | 1 | 0 | 0 | 0 | 0 | 0 |
Interpolation and Extrapolation of Toeplitz Matrices via Optimal Mass Transport | In this work, we propose a novel method for quantifying distances between
Toeplitz structured covariance matrices. By exploiting the spectral
representation of Toeplitz matrices, the proposed distance measure is defined
based on an optimal mass transport problem in the spectral domain. This may
then be interpreted in... | 0 | 0 | 1 | 1 | 0 | 0 |
Performance of time delay estimation in a cognitive radar | A cognitive radar adapts the transmit waveform in response to changes in the
radar and target environment. In this work, we analyze the recently proposed
sub-Nyquist cognitive radar wherein the total transmit power in a multi-band
cognitive waveform remains the same as its full-band conventional counterpart.
For such... | 1 | 0 | 1 | 0 | 0 | 0 |
RAIL: Risk-Averse Imitation Learning | Imitation learning algorithms learn viable policies by imitating an expert's
behavior when reward signals are not available. Generative Adversarial
Imitation Learning (GAIL) is a state-of-the-art algorithm for learning policies
when the expert's behavior is available as a fixed set of trajectories. We
evaluate in ter... | 1 | 0 | 0 | 0 | 0 | 0 |
Nucleation and growth of hierarchical martensite in epitaxial shape memory films | Shape memory alloys often show a complex hierarchical morphology in the
martensitic state. To understand the formation of this twin-within-twins
microstructure, we examine epitaxial Ni-Mn-Ga films as a model system. In-situ
scanning electron microscopy experiments show beautiful complex twinning
patterns with a numbe... | 0 | 1 | 0 | 0 | 0 | 0 |
Towards Sparse Hierarchical Graph Classifiers | Recent advances in representation learning on graphs, mainly leveraging graph
convolutional networks, have brought a substantial improvement on many
graph-based benchmark tasks. While novel approaches to learning node embeddings
are highly suitable for node classification and link prediction, their
application to gra... | 1 | 0 | 0 | 0 | 0 | 0 |
Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations | Deep convolutional neural networks (CNNs) based approaches are the
state-of-the-art in various computer vision tasks, including face recognition.
Considerable research effort is currently being directed towards further
improving deep CNNs by focusing on more powerful model architectures and better
learning techniques... | 0 | 0 | 0 | 1 | 0 | 0 |
BayesVP: a Bayesian Voigt profile fitting package | We introduce a Bayesian approach for modeling Voigt profiles in absorption
spectroscopy and its implementation in the python package, BayesVP, publicly
available at this https URL. The code fits the
absorption line profiles within specified wavelength ranges and generates
posterior distributions for the column densit... | 0 | 1 | 0 | 0 | 0 | 0 |
Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization | We consider the minimization of submodular functions subject to ordering
constraints. We show that this optimization problem can be cast as a convex
optimization problem on a space of uni-dimensional measures, with ordering
constraints corresponding to first-order stochastic dominance. We propose new
discretization s... | 1 | 0 | 0 | 1 | 0 | 0 |
The effects of oxygen in spinel oxide Li1+xTi2-xO4-delta thin films | The evolution from superconducting LiTi2O4-delta to insulating Li4Ti5O12 thin
films has been studied by precisely adjusting the oxygen pressure during the
sample fabrication process. In the superconducting LiTi2O4-delta films, with
the increase of oxygen pressure, the oxygen vacancies are filled, and the
c-axis latti... | 0 | 1 | 0 | 0 | 0 | 0 |
Qualitative uncertainty principle for Gabor transform on certain locally compact groups | Classes of locally compact groups having qualitative uncertainty principle
for Gabor transform have been investigated. These include Moore groups,
Heisenberg Group $\mathbb{H}_n, \mathbb{H}_{n} \times D,$ where $D$ is discrete
group and other low dimensional nilpotent Lie groups.
| 0 | 0 | 1 | 0 | 0 | 0 |
Strategyproof Mechanisms for Additively Separable Hedonic Games and Fractional Hedonic Games | Additively separable hedonic games and fractional hedonic games have received
considerable attention. They are coalition forming games of selfish agents
based on their mutual preferences. Most of the work in the literature
characterizes the existence and structure of stable outcomes (i.e., partitions
in coalitions), ... | 1 | 0 | 0 | 0 | 0 | 0 |
The Conditional Analogy GAN: Swapping Fashion Articles on People Images | We present a novel method to solve image analogy problems : it allows to
learn the relation between paired images present in training data, and then
generalize and generate images that correspond to the relation, but were never
seen in the training set. Therefore, we call the method Conditional Analogy
Generative Adv... | 1 | 0 | 0 | 1 | 0 | 0 |
Inverse antiplane problem on $n$ uniformly stressed inclusions | The inverse problem of antiplane elasticity on determination of the profiles
of $n$ uniformly stressed inclusions is studied. The inclusions are in ideal
contact with the surrounding matrix, the stress field inside the inclusions is
uniform, and at infinity the body is subjected to antiplane uniform shear. The
exteri... | 0 | 0 | 1 | 0 | 0 | 0 |
Categorical Structures on Bundle Gerbes and Higher Geometric Prequantisation | We present a construction of a 2-Hilbert space of sections of a bundle gerbe,
a suitable candidate for a prequantum 2-Hilbert space in higher geometric
quantisation. We introduce a direct sum on the morphism categories in the
2-category of bundle gerbes and show that these categories are cartesian
monoidal and abelia... | 0 | 0 | 1 | 0 | 0 | 0 |
The Monkeytyping Solution to the YouTube-8M Video Understanding Challenge | This article describes the final solution of team monkeytyping, who finished
in second place in the YouTube-8M video understanding challenge. The dataset
used in this challenge is a large-scale benchmark for multi-label video
classification. We extend the work in [1] and propose several improvements for
frame sequenc... | 1 | 0 | 0 | 0 | 0 | 0 |
Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification | Brain Electroencephalography (EEG) classification is widely applied to
analyze cerebral diseases in recent years. Unfortunately, invalid/noisy EEGs
degrade the diagnosis performance and most previously developed methods ignore
the necessity of EEG selection for classification. To this end, this paper
proposes a novel... | 0 | 0 | 0 | 1 | 1 | 0 |
Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses | We present a case-study demonstrating the usefulness of Bayesian hierarchical
mixture modelling for investigating cognitive processes. In sentence
comprehension, it is widely assumed that the distance between linguistic
co-dependents affects the latency of dependency resolution: the longer the
distance, the longer th... | 1 | 0 | 0 | 1 | 0 | 0 |
Performance analysis of local ensemble Kalman filter | Ensemble Kalman filter (EnKF) is an important data assimilation method for
high dimensional geophysical systems. Efficient implementation of EnKF in
practice often involves the localization technique, which updates each
component using only information within a local radius. This paper rigorously
analyzes the local E... | 0 | 0 | 1 | 1 | 0 | 0 |
The homology class of a Poisson transversal | This note is devoted to the study of the homology class of a compact Poisson
transversal in a Poisson manifold. For specific classes of Poisson structures,
such as unimodular Poisson structures and Poisson manifolds with closed leaves,
we prove that all their compact Poisson transversals represent non-trivial
homolog... | 0 | 0 | 1 | 0 | 0 | 0 |
Discrete Time Dynamic Programming with Recursive Preferences: Optimality and Applications | This paper provides an alternative approach to the theory of dynamic
programming, designed to accommodate the kinds of recursive preference
specifications that have become popular in economic and financial analysis,
while still supporting traditional additively separable rewards. The approach
exploits the theory of m... | 0 | 0 | 0 | 0 | 0 | 1 |
Anisotropic triangulations via discrete Riemannian Voronoi diagrams | The construction of anisotropic triangulations is desirable for various
applications, such as the numerical solving of partial differential equations
and the representation of surfaces in graphics. To solve this notoriously
difficult problem in a practical way, we introduce the discrete Riemannian
Voronoi diagram, a ... | 1 | 0 | 0 | 0 | 0 | 0 |
Heteroskedastic PCA: Algorithm, Optimality, and Applications | Principal component analysis (PCA) and singular value decomposition (SVD) are
widely used in statistics, machine learning, and applied mathematics. It has
been well studied in the case of homoskedastic noise, where the noise levels of
the contamination are homogeneous.
In this paper, we consider PCA and SVD in the pr... | 0 | 0 | 0 | 1 | 0 | 0 |
A Manifesto for Web Science @ 10 | Twenty-seven years ago, one of the biggest societal changes in human history
began slowly when the technical foundations for the World Wide Web were defined
by Tim Berners-Lee. Ever since, the Web has grown exponentially, reaching far
beyond its original technical foundations and deeply affecting the world today
- an... | 1 | 0 | 0 | 0 | 0 | 0 |
LAMOST Spectroscopic Survey of the Galactic Anticentre (LSS-GAC): the second release of value-added catalogues | We present the second release of value-added catalogues of the LAMOST
Spectroscopic Survey of the Galactic Anticentre (LSS-GAC DR2). The catalogues
present values of radial velocity $V_{\rm r}$, atmospheric parameters ---
effective temperature $T_{\rm eff}$, surface gravity log$g$, metallicity
[Fe/H], $\alpha$-elemen... | 0 | 1 | 0 | 0 | 0 | 0 |
Counterfactual Fairness | Machine learning can impact people with legal or ethical consequences when it
is used to automate decisions in areas such as insurance, lending, hiring, and
predictive policing. In many of these scenarios, previous decisions have been
made that are unfairly biased against certain subpopulations, for example those
of ... | 1 | 0 | 0 | 1 | 0 | 0 |
A Frame Tracking Model for Memory-Enhanced Dialogue Systems | Recently, resources and tasks were proposed to go beyond state tracking in
dialogue systems. An example is the frame tracking task, which requires
recording multiple frames, one for each user goal set during the dialogue. This
allows a user, for instance, to compare items corresponding to different goals.
This paper ... | 1 | 0 | 0 | 0 | 0 | 0 |
How to place an obstacle having a dihedral symmetry centered at a given point inside a disk so as to optimize the fundamental Dirichlet eigenvalue | A generic model for the shape optimization problems we consider in this paper
is the optimization of the Dirichlet eigenvalues of the Laplace operator with a
volume constraint. We deal with an obstacle placement problem which can be
formulated as the following eigenvalue optimization problem: Fix two positive
real nu... | 0 | 0 | 1 | 0 | 0 | 0 |
The mapping class groups of reducible Heegaard splittings of genus two | The manifold which admits a genus-$2$ reducible Heegaard splitting is one of
the $3$-sphere, $\mathbb{S}^2 \times \mathbb{S}^1$, lens spaces and their
connected sums. For each of those manifolds except most lens spaces, the
mapping class group of the genus-$2$ splitting was shown to be finitely
presented. In this wor... | 0 | 0 | 1 | 0 | 0 | 0 |
Linguistic Relativity and Programming Languages | The use of programming languages can wax and wane across the decades. We
examine the split-apply- combine pattern that is common in statistical
computing, and consider how its invocation or implementation in languages like
MATLAB and APL differ from R/dplyr. The differences in spelling illustrate how
the concept of l... | 1 | 0 | 0 | 1 | 0 | 0 |
Double-sided probing by map of Asplund's distances using Logarithmic Image Processing in the framework of Mathematical Morphology | We establish the link between Mathematical Morphology and the map of
Asplund's distances between a probe and a grey scale function, using the
Logarithmic Image Processing scalar multiplication. We demonstrate that the map
is the logarithm of the ratio between a dilation and an erosion of the function
by a structuring... | 1 | 0 | 1 | 0 | 0 | 0 |
Regression approaches for Approximate Bayesian Computation | This book chapter introduces regression approaches and regression adjustment
for Approximate Bayesian Computation (ABC). Regression adjustment adjusts
parameter values after rejection sampling in order to account for the imperfect
match between simulations and observations. Imperfect match between simulations
and obs... | 0 | 0 | 0 | 1 | 0 | 0 |
Feature learning in feature-sample networks using multi-objective optimization | Data and knowledge representation are fundamental concepts in machine
learning. The quality of the representation impacts the performance of the
learning model directly. Feature learning transforms or enhances raw data to
structures that are effectively exploited by those models. In recent years,
several works have b... | 1 | 0 | 0 | 0 | 0 | 0 |
Analog control with two Artificial Axons | The artificial axon is a recently introduced synthetic assembly of supported
lipid bilayers and voltage gated ion channels, displaying the basic
electrophysiology of nerve cells. Here we demonstrate the use of two artificial
axons as control elements to achieve a simple task. Namely, we steer a remote
control car tow... | 0 | 0 | 0 | 0 | 1 | 0 |
Designing a cost-time-quality-efficient grinding process using MODM methods | In this paper a multi-objective mathematical model has been used to optimize
grinding parameters include workpiece speed, depth of cut and wheel speed which
highly affect the final surface quality. The mathematical model of the
optimization problem consists of three conflict objective functions subject to
wheel wear ... | 1 | 0 | 0 | 0 | 0 | 0 |
Treewidth distance on phylogenetic trees | In this article we study the treewidth of the \emph{display graph}, an
auxiliary graph structure obtained from the fusion of phylogenetic (i.e.,
evolutionary) trees at their leaves. Earlier work has shown that the treewidth
of the display graph is bounded if the trees are in some formal sense
topologically similar. H... | 1 | 0 | 0 | 0 | 0 | 0 |
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