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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Robust 3D Distributed Formation Control with Application to Quadrotors | We present a distributed control strategy for a team of quadrotors to
autonomously achieve a desired 3D formation. Our approach is based on local
relative position measurements and does not require global position information
or inter-vehicle communication. We assume that quadrotors have a common sense
of direction, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Discrete Extremes | Our contribution is to widen the scope of extreme value analysis applied to
discrete-valued data. Extreme values of a random variable $X$ are commonly
modeled using the generalized Pareto distribution, a method that often gives
good results in practice. When $X$ is discrete, we propose two other methods
using a discr... | 0 | 0 | 1 | 1 | 0 | 0 |
Rapid Adaptation with Conditionally Shifted Neurons | We describe a mechanism by which artificial neural networks can learn rapid
adaptation - the ability to adapt on the fly, with little data, to new tasks -
that we call conditionally shifted neurons. We apply this mechanism in the
framework of metalearning, where the aim is to replicate some of the
flexibility of huma... | 1 | 0 | 0 | 1 | 0 | 0 |
JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs | We propose a novel approach for the generation of polyphonic music based on
LSTMs. We generate music in two steps. First, a chord LSTM predicts a chord
progression based on a chord embedding. A second LSTM then generates polyphonic
music from the predicted chord progression. The generated music sounds pleasing
and ha... | 1 | 0 | 0 | 1 | 0 | 0 |
Inflationary Primordial Black Holes as All Dark Matter | Following a new microlensing constraint on primordial black holes (PBHs) with
$\sim10^{20}$--$10^{28}\,\mathrm{g}$~[1], we revisit the idea of PBH as all
Dark Matter (DM). We have shown that the updated observational constraints
suggest the viable mass function for PBHs as all DM to have a peak at $\simeq
10^{20}\,\m... | 0 | 1 | 0 | 0 | 0 | 0 |
Condition number and matrices | It is well known the concept of the condition number $\kappa(A) =
\|A\|\|A^{-1}\|$, where $A$ is a $n \times n$ real or complex matrix and the
norm used is the spectral norm. Although it is very common to think in
$\kappa(A)$ as "the" condition number of $A$, the truth is that condition
numbers are associated to prob... | 0 | 0 | 1 | 0 | 0 | 0 |
Computational Tools in Weighted Persistent Homology | In this paper, we study further properties and applications of weighted
homology and persistent homology. We introduce the Mayer-Vietoris sequence and
generalized Bockstein spectral sequence for weighted homology. For
applications, we show an algorithm to construct a filtration of weighted
simplicial complexes from a... | 0 | 0 | 1 | 0 | 0 | 0 |
Dirac fermions in borophene | Honeycomb structures of group IV elements can host massless Dirac fermions
with non-trivial Berry phases. Their potential for electronic applications has
attracted great interest and spurred a broad search for new Dirac materials
especially in monolayer structures. We present a detailed investigation of the
\beta 12 ... | 0 | 1 | 0 | 0 | 0 | 0 |
Resolving the notorious case of conical intersections for coupled cluster dynamics | The motion of electrons and nuclei in photochemical events often involve
conical intersections, degeneracies between electronic states. They serve as
funnels for nuclear relaxation - on the femtosecond scale - in processes where
the electrons and nuclei couple nonadiabatically. Accurate ab initio quantum
chemical mod... | 0 | 1 | 0 | 0 | 0 | 0 |
Benchmarking gate-based quantum computers | With the advent of public access to small gate-based quantum processors, it
becomes necessary to develop a benchmarking methodology such that independent
researchers can validate the operation of these processors. We explore the
usefulness of a number of simple quantum circuits as benchmarks for gate-based
quantum co... | 0 | 1 | 0 | 0 | 0 | 0 |
Determinant structure for tau-function of holonomic deformation of linear differential equations | In our previous works, a relationship between Hermite's two approximation
problems and Schlesinger transformations of linear differential equations has
been clarified. In this paper, we study tau-functions associated with holonomic
deformations of linear differential equations by using Hermite's two
approximation pro... | 0 | 1 | 1 | 0 | 0 | 0 |
Transfer Operator Based Approach for Optimal Stabilization of Stochastic System | In this paper we develop linear transfer Perron Frobenius operator-based
approach for optimal stabilization of stochastic nonlinear system. One of the
main highlight of the proposed transfer operator based approach is that both
the theory and computational framework developed for the optimal stabilization
of determin... | 1 | 0 | 1 | 0 | 0 | 0 |
CryptoDL: Deep Neural Networks over Encrypted Data | Machine learning algorithms based on deep neural networks have achieved
remarkable results and are being extensively used in different domains.
However, the machine learning algorithms requires access to raw data which is
often privacy sensitive. To address this issue, we develop new techniques to
provide solutions f... | 1 | 0 | 0 | 0 | 0 | 0 |
Data-driven modeling of collaboration networks: A cross-domain analysis | We analyze large-scale data sets about collaborations from two different
domains: economics, specifically 22.000 R&D alliances between 14.500 firms, and
science, specifically 300.000 co-authorship relations between 95.000
scientists. Considering the different domains of the data sets, we address two
questions: (a) to... | 1 | 1 | 0 | 0 | 0 | 0 |
Tunnelling in Dante's Inferno | We study quantum tunnelling in Dante's Inferno model of large field
inflation. Such a tunnelling process, which will terminate inflation, becomes
problematic if the tunnelling rate is rapid compared to the Hubble time scale
at the time of inflation. Consequently, we constrain the parameter space of
Dante's Inferno mo... | 0 | 1 | 0 | 0 | 0 | 0 |
Regulating Highly Automated Robot Ecologies: Insights from Three User Studies | Highly automated robot ecologies (HARE), or societies of independent
autonomous robots or agents, are rapidly becoming an important part of much of
the world's critical infrastructure. As with human societies, regulation,
wherein a governing body designs rules and processes for the society, plays an
important role in... | 1 | 0 | 0 | 0 | 0 | 0 |
Some theoretical results on tensor elliptical distribution | The multilinear normal distribution is a widely used tool in tensor analysis
of magnetic resonance imaging (MRI). Diffusion tensor MRI provides a
statistical estimate of a symmetric 2nd-order diffusion tensor, for each voxel
within an imaging volume. In this article, tensor elliptical (TE) distribution
is introduced ... | 0 | 0 | 1 | 1 | 0 | 0 |
Applying Text Mining to Protest Stories as Voice against Media Censorship | Data driven activism attempts to collect, analyze and visualize data to
foster social change. However, during media censorship it is often impossible
to collect such data. Here we demonstrate that data from personal stories can
also help us to gain insights about protests and activism which can work as a
voice for th... | 1 | 0 | 0 | 0 | 0 | 0 |
Cost-Effective Training of Deep CNNs with Active Model Adaptation | Deep convolutional neural networks have achieved great success in various
applications. However, training an effective DNN model for a specific task is
rather challenging because it requires a prior knowledge or experience to
design the network architecture, repeated trial-and-error process to tune the
parameters, an... | 0 | 0 | 0 | 1 | 0 | 0 |
Flipping growth orientation of nanographitic structures by plasma enhanced chemical vapor deposition | Nanographitic structures (NGSs) with multitude of morphological features are
grown on SiO2/Si substrates by electron cyclotron resonance - plasma enhanced
chemical vapor deposition (ECR-PECVD). CH4 is used as source gas with Ar and H2
as dilutants. Field emission scanning electron microscopy, high resolution
transmis... | 0 | 1 | 0 | 0 | 0 | 0 |
Topological thermal Hall effect due to Weyl magnons | We present the first theoretical evidence of zero magnetic field topological
(anomalous) thermal Hall effect due to Weyl magnons. Here, we consider Weyl
magnons in stacked noncoplanar frustrated kagomé antiferromagnets recently
proposed by Owerre, [arXiv:1708.04240]. The Weyl magnons in this system result
from macros... | 0 | 1 | 0 | 0 | 0 | 0 |
Numerical prediction of the piezoelectric transducer response in the acoustic nearfield using a one-dimensional electromechanical finite difference approach | We present a simple electromechanical finite difference model to study the
response of a piezoelectric polyvinylidenflourid (PVDF) transducer to
optoacoustic (OA) pressure waves in the acoustic nearfield prior to thermal
relaxation of the OA source volume. The assumption of nearfield conditions,
i.e. the absence of a... | 0 | 1 | 0 | 0 | 0 | 0 |
A free energy landscape of the capture of CO2 by frustrated Lewis pairs | Frustrated Lewis pairs (FLPs) are known for its ability to capture CO2.
Although many FLPs have been reported experimentally and several theoretical
studies have been carried out to address the reaction mechanism, the individual
roles of Lewis acids and bases of FLP in the capture of CO2 is still unclear.
In this stu... | 0 | 1 | 0 | 0 | 0 | 0 |
Improved Point Source Detection in Crowded Fields using Probabilistic Cataloging | Cataloging is challenging in crowded fields because sources are extremely
covariant with their neighbors and blending makes even the number of sources
ambiguous. We present the first optical probabilistic catalog, cataloging a
crowded (~0.1 sources per pixel brighter than 22nd magnitude in F606W) Sloan
Digital Sky Su... | 0 | 1 | 0 | 0 | 0 | 0 |
Local Convergence of Proximal Splitting Methods for Rank Constrained Problems | We analyze the local convergence of proximal splitting algorithms to solve
optimization problems that are convex besides a rank constraint. For this, we
show conditions under which the proximal operator of a function involving the
rank constraint is locally identical to the proximal operator of its convex
envelope, h... | 1 | 0 | 0 | 1 | 0 | 0 |
On the boundary between qualitative and quantitative measures of causal effects | Causal relationships among variables are commonly represented via directed
acyclic graphs. There are many methods in the literature to quantify the
strength of arrows in a causal acyclic graph. These methods, however, have
undesirable properties when the causal system represented by a directed acyclic
graph is degene... | 0 | 0 | 1 | 1 | 0 | 0 |
How Could Polyhedral Theory Harness Deep Learning? | The holy grail of deep learning is to come up with an automatic method to
design optimal architectures for different applications. In other words, how
can we effectively dimension and organize neurons along the network layers
based on the computational resources, input size, and amount of training data?
We outline pr... | 0 | 0 | 0 | 1 | 0 | 0 |
Optimal top dag compression | It is shown that for a given ordered node-labelled tree of size $n$ and with
$s$ many different node labels, one can construct in linear time a top dag of
height $O(\log n)$ and size $O(n / \log_\sigma n) \cap O(d \cdot \log n)$,
where $\sigma = \max\{ 2, s\}$ and $d$ is the size of the minimal dag. The size
bound $O... | 1 | 0 | 0 | 0 | 0 | 0 |
Synthesizing SystemC Code from Delay Hybrid CSP | Delay is omnipresent in modern control systems, which can prompt oscillations
and may cause deterioration of control performance, invalidate both stability
and safety properties. This implies that safety or stability certificates
obtained on idealized, delay-free models of systems prone to delayed coupling
may be err... | 1 | 0 | 0 | 0 | 0 | 0 |
Analysis of Annual Cyclone Frequencies over Bay of Bengal: Effect of 2004 Indian Ocean Tsunami | This paper discusses the time series trend and variability of the cyclone
frequencies over Bay of Bengal, particularly in order to conclude if there is
any significant difference in the pattern visible before and after the
disastrous 2004 Indian ocean tsunami based on the observed annual cyclone
frequency data obtain... | 0 | 0 | 0 | 1 | 0 | 0 |
Load Thresholds for Cuckoo Hashing with Overlapping Blocks | Dietzfelbinger and Weidling [DW07] proposed a natural variation of cuckoo
hashing where each of $cn$ objects is assigned $k = 2$ intervals of size $\ell$
in a linear (or cyclic) hash table of size $n$ and both start points are chosen
independently and uniformly at random. Each object must be placed into a table
cell ... | 1 | 0 | 0 | 0 | 0 | 0 |
Evaluating the hot hand phenomenon using predictive memory selection for multistep Markov Chains: LeBron James' error correcting free throws | Consider the problem of modeling memory for discrete-state random walks using
higher-order Markov chains. This Letter introduces a general Bayesian framework
under the principle of minimizing prediction error to select, from data, the
number of prior states of recent history upon which a trajectory is
statistically d... | 0 | 1 | 0 | 1 | 0 | 0 |
Closed almost-Kähler 4-manifolds of constant non-negative Hermitian holomorphic sectional curvature are Kähler | We show that a closed almost Kähler 4-manifold of globally constant
holomorphic sectional curvature $k\geq 0$ with respect to the canonical
Hermitian connection is automatically Kähler. The same result holds for $k<0$
if we require in addition that the Ricci curvature is J-invariant. The proofs
are based on the obser... | 0 | 0 | 1 | 0 | 0 | 0 |
Pretest and Stein-Type Estimations in Quantile Regression Model | In this study, we consider preliminary test and shrinkage estimation
strategies for quantile regression models. In classical Least Squares
Estimation (LSE) method, the relationship between the explanatory and explained
variables in the coordinate plane is estimated with a mean regression line. In
order to use LSE, th... | 0 | 0 | 1 | 1 | 0 | 0 |
Outcrop fracture characterization on suppositional planes cutting through digital outcrop models (DOMs) | Conventional fracture data collection methods are usually implemented on
planar surfaces or assuming they are planar; these methods may introduce
sampling errors on uneven outcrop surfaces. Consequently, data collected on
limited types of outcrop surfaces (mainly bedding surfaces) may not be a
sufficient representati... | 1 | 1 | 0 | 0 | 0 | 0 |
Exploiting routinely collected severe case data to monitor and predict influenza outbreaks | Influenza remains a significant burden on health systems. Effective responses
rely on the timely understanding of the magnitude and the evolution of an
outbreak. For monitoring purposes, data on severe cases of influenza in England
are reported weekly to Public Health England. These data are both readily
available an... | 0 | 1 | 0 | 1 | 0 | 0 |
Consistent Inter-Model Specification for Time-Homogeneous SPX Stochastic Volatility and VIX Market Models | This paper shows how to recover stochastic volatility models (SVMs) from
market models for the VIX futures term structure. Market models have more
flexibility for fitting of curves than do SVMs, and therefore they are
better-suited for pricing VIX futures and derivatives. But the VIX itself is a
derivative of the S&P... | 0 | 0 | 0 | 0 | 0 | 1 |
Optimal Task Scheduling in Communication-Constrained Mobile Edge Computing Systems for Wireless Virtual Reality | Mobile edge computing (MEC) is expected to be an effective solution to
deliver 360-degree virtual reality (VR) videos over wireless networks. In
contrast to previous computation-constrained MEC framework, which reduces the
computation-resource consumption at the mobile VR device by increasing the
communication-resour... | 1 | 0 | 0 | 0 | 0 | 0 |
Infinitary generalizations of Deligne's completeness theorem | Given a regular cardinal $\kappa$ such that $\kappa^{<\kappa}=\kappa$, we
study a class of toposes with enough points, the $\kappa$-separable toposes.
These are equivalent to sheaf toposes over a site with $\kappa$-small limits
that has at most $\kappa$ many objects and morphisms, the (basis for the)
topology being g... | 0 | 0 | 1 | 0 | 0 | 0 |
Progressive Growing of GANs for Improved Quality, Stability, and Variation | We describe a new training methodology for generative adversarial networks.
The key idea is to grow both the generator and discriminator progressively:
starting from a low resolution, we add new layers that model increasingly fine
details as training progresses. This both speeds the training up and greatly
stabilizes... | 1 | 0 | 0 | 1 | 0 | 0 |
Saxion Cosmology for Thermalized Gravitino Dark Matter | In all supersymmetric theories, gravitinos, with mass suppressed by the
Planck scale, are an obvious candidate for dark matter; but if gravitinos ever
reached thermal equilibrium, such dark matter is apparently either too abundant
or too hot, and is excluded. However, in theories with an axion, a saxion
condensate is... | 0 | 1 | 0 | 0 | 0 | 0 |
One-step and Two-step Classification for Abusive Language Detection on Twitter | Automatic abusive language detection is a difficult but important task for
online social media. Our research explores a two-step approach of performing
classification on abusive language and then classifying into specific types and
compares it with one-step approach of doing one multi-class classification for
detecti... | 1 | 0 | 0 | 0 | 0 | 0 |
Massive data compression for parameter-dependent covariance matrices | We show how the massive data compression algorithm MOPED can be used to
reduce, by orders of magnitude, the number of simulated datasets that are
required to estimate the covariance matrix required for the analysis of
gaussian-distributed data. This is relevant when the covariance matrix cannot
be calculated directly... | 0 | 1 | 0 | 1 | 0 | 0 |
A Novel Data-Driven Framework for Risk Characterization and Prediction from Electronic Medical Records: A Case Study of Renal Failure | Electronic medical records (EMR) contain longitudinal information about
patients that can be used to analyze outcomes. Typically, studies on EMR data
have worked with established variables that have already been acknowledged to
be associated with certain outcomes. However, EMR data may also contain
hitherto unrecogni... | 1 | 0 | 0 | 1 | 0 | 0 |
Knotted solutions for linear and nonlinear theories: electromagnetism and fluid dynamics | We examine knotted solutions, the most simple of which is the "Hopfion", from
the point of view of relations between electromagnetism and ideal fluid
dynamics. A map between fluid dynamics and electromagnetism works for initial
conditions or for linear perturbations, allowing us to find new knotted fluid
solutions. K... | 0 | 1 | 0 | 0 | 0 | 0 |
Implicit Media Tagging and Affect Prediction from video of spontaneous facial expressions, recorded with depth camera | We present a method that automatically evaluates emotional response from
spontaneous facial activity recorded by a depth camera. The automatic
evaluation of emotional response, or affect, is a fascinating challenge with
many applications, including human-computer interaction, media tagging and
human affect prediction... | 1 | 0 | 0 | 0 | 0 | 0 |
Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities | Legal professionals worldwide are currently trying to get up-to-pace with the
explosive growth in legal document availability through digital means. This
drives a need for high efficiency Legal Information Retrieval (IR) and Question
Answering (QA) methods. The IR task in particular has a set of unique
challenges tha... | 1 | 0 | 0 | 0 | 0 | 0 |
Modeling Study of Laser Beam Scattering by Defects on Semiconductor Wafers | Accurate modeling of light scattering from nanometer scale defects on Silicon
wafers is critical for enabling increasingly shrinking semiconductor technology
nodes of the future. Yet, such modeling of defect scattering remains unsolved
since existing modeling techniques fail to account for complex defect and wafer
ge... | 0 | 1 | 0 | 0 | 0 | 0 |
Combinatorial and Asymptotical Results on the Neighborhood Grid | In 2009, Joselli et al introduced the Neighborhood Grid data structure for
fast computation of neighborhood estimates in point clouds. Even though the
data structure has been used in several applications and shown to be
practically relevant, it is theoretically not yet well understood. The purpose
of this paper is to... | 1 | 0 | 0 | 0 | 0 | 0 |
On the structure of join tensors with applications to tensor eigenvalue problems | We investigate the structure of join tensors, which may be regarded as the
multivariable extension of lattice-theoretic join matrices. Explicit formulae
for a polyadic decomposition (i.e., a linear combination of rank-1 tensors) and
a tensor-train decomposition of join tensors are derived on general join
semilattices... | 0 | 0 | 1 | 0 | 0 | 0 |
Adversarial Variational Optimization of Non-Differentiable Simulators | Complex computer simulators are increasingly used across fields of science as
generative models tying parameters of an underlying theory to experimental
observations. Inference in this setup is often difficult, as simulators rarely
admit a tractable density or likelihood function. We introduce Adversarial
Variational... | 1 | 0 | 0 | 1 | 0 | 0 |
Learning Light Transport the Reinforced Way | We show that the equations of reinforcement learning and light transport
simulation are related integral equations. Based on this correspondence, a
scheme to learn importance while sampling path space is derived. The new
approach is demonstrated in a consistent light transport simulation algorithm
that uses reinforce... | 1 | 0 | 0 | 0 | 0 | 0 |
Posterior Asymptotic Normality for an Individual Coordinate in High-dimensional Linear Regression | We consider the sparse high-dimensional linear regression model
$Y=Xb+\epsilon$ where $b$ is a sparse vector. For the Bayesian approach to this
problem, many authors have considered the behavior of the posterior
distribution when, in truth, $Y=X\beta+\epsilon$ for some given $\beta$. There
have been numerous results ... | 0 | 0 | 1 | 1 | 0 | 0 |
Subdeterminant Maximization via Nonconvex Relaxations and Anti-concentration | Several fundamental problems that arise in optimization and computer science
can be cast as follows: Given vectors $v_1,\ldots,v_m \in \mathbb{R}^d$ and a
constraint family ${\cal B}\subseteq 2^{[m]}$, find a set $S \in \cal{B}$ that
maximizes the squared volume of the simplex spanned by the vectors in $S$. A
motivat... | 1 | 0 | 1 | 1 | 0 | 0 |
On the Uplink Achievable Rate of Massive MIMO System With Low-Resolution ADC and RF Impairments | This paper considers channel estimation and uplink achievable rate of the
coarsely quantized massive multiple-input multiple-output (MIMO) system with
radio frequency (RF) impairments. We utilize additive quantization noise model
(AQNM) and extended error vector magnitude (EEVM) model to analyze the impacts
of low-re... | 1 | 0 | 0 | 0 | 0 | 0 |
On The Complexity of Enumeration | We investigate the relationship between several enumeration complexity
classes and focus in particular on problems having enumeration algorithms with
incremental and polynomial delay (IncP and DelayP respectively). We show that,
for some algorithms, we can turn an average delay into a worst case delay
without increas... | 1 | 0 | 0 | 0 | 0 | 0 |
On $p$-degree of elliptic curves | In this note we investigate the $p$-degree function of elliptic curves over
the field $\mathbb{Q}_p$ of $p$-adic numbers. The $p$-degree measures the least
complexity of a non-zero $p$-torsion point on an elliptic curve. We prove some
properties of this function and compute it explicitly in some special cases.
| 0 | 0 | 1 | 0 | 0 | 0 |
Combinatorial formulas for Kazhdan-Lusztig polynomials with respect to W-graph ideals | In \cite{y1} Yin generalized the definition of $W$-graph ideal $E_J$ in
weighted Coxeter groups and introduced the weighted Kazhdan-Lusztig polynomials
$ \left \{ P_{x,y} \mid x,y\in E_J\right \}$, where $J$ is a subset of simple
generators $S$. In this paper, we study the combinatorial formulas for those
polynomials... | 0 | 0 | 1 | 0 | 0 | 0 |
Arithmetic statistics of modular symbols | Mazur, Rubin, and Stein have recently formulated a series of conjectures
about statistical properties of modular symbols in order to understand central
values of twists of elliptic curve $L$-functions. Two of these conjectures
relate to the asymptotic growth of the first and second moments of the modular
symbols. We ... | 0 | 0 | 1 | 0 | 0 | 0 |
Approximation Techniques for Stochastic Analysis of Biological Systems | There has been an increasing demand for formal methods in the design process
of safety-critical synthetic genetic circuits. Probabilistic model checking
techniques have demonstrated significant potential in analyzing the intrinsic
probabilistic behaviors of complex genetic circuit designs. However, its
inability to s... | 1 | 0 | 0 | 0 | 0 | 0 |
Characterizing time-irreversibility in disordered fermionic systems by the effect of local perturbations | We study the effects of local perturbations on the dynamics of disordered
fermionic systems in order to characterize time-irreversibility. We focus on
three different systems, the non-interacting Anderson and Aubry-André-Harper
(AAH-) models, and the interacting spinless disordered t-V chain. First, we
consider the e... | 0 | 1 | 0 | 0 | 0 | 0 |
A Lower Bound for the Number of Central Configurations on H^2 | We study the indices of the geodesic central configurations on $\H^2$. We
then show that central configurations are bounded away from the singularity
set. With Morse's inequality, we get a lower bound for the number of central
configurations on $\H^2$.
| 0 | 0 | 1 | 0 | 0 | 0 |
Scattering dominated high-temperature phase of 1T-TiSe2: an optical conductivity study | The controversy regarding the precise nature of the high-temperature phase of
1T-TiSe2 lasts for decades. It has intensified in recent times when new
evidence for the excitonic origin of the low-temperature charge-density wave
state started to unveil. Here we address the problem of the high-temperature
phase through ... | 0 | 1 | 0 | 0 | 0 | 0 |
Motional Ground State Cooling Outside the Lamb-Dicke Regime | We report Raman sideband cooling of a single sodium atom to its
three-dimensional motional ground state in an optical tweezer. Despite a large
Lamb-Dicke parameter, high initial temperature, and large differential light
shifts between the excited state and the ground state, we achieve a ground
state population of $93... | 0 | 1 | 0 | 0 | 0 | 0 |
Quantifying the uncertainties in an ensemble of decadal climate predictions | Meaningful climate predictions must be accompanied by their corresponding
range of uncertainty. Quantifying the uncertainties is non-trivial, and
different methods have been suggested and used in the past. Here, we propose a
method that does not rely on any assumptions regarding the distribution of the
ensemble membe... | 0 | 1 | 0 | 0 | 0 | 0 |
A Learning-Based Framework for Two-Dimensional Vehicle Maneuver Prediction over V2V Networks | Situational awareness in vehicular networks could be substantially improved
utilizing reliable trajectory prediction methods. More precise situational
awareness, in turn, results in notably better performance of critical safety
applications, such as Forward Collision Warning (FCW), as well as comfort
applications lik... | 1 | 0 | 0 | 1 | 0 | 0 |
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction | Spatial-temporal prediction is a fundamental problem for constructing smart
city, which is useful for tasks such as traffic control, taxi dispatching, and
environmental policy making. Due to data collection mechanism, it is common to
see data collection with unbalanced spatial distributions. For example, some
cities ... | 1 | 0 | 0 | 1 | 0 | 0 |
Universal locally univalent functions and universal conformal metrics with constant curvature | We prove Runge-type theorems and universality results for locally univalent
holomorphic and meromorphic functions. Refining a result of M. Heins, we also
show that there is a universal bounded locally univalent function on the unit
disk. These results are used to prove that on any hyperbolic simply connected
plane do... | 0 | 0 | 1 | 0 | 0 | 0 |
Towards a New Interpretation of Separable Convolutions | In recent times, the use of separable convolutions in deep convolutional
neural network architectures has been explored. Several researchers, most
notably (Chollet, 2016) and (Ghosh, 2017) have used separable convolutions in
their deep architectures and have demonstrated state of the art or close to
state of the art ... | 1 | 0 | 0 | 1 | 0 | 0 |
Numerical Simulations of Regolith Sampling Processes | We present recent improvements in the simulation of regolith sampling
processes in microgravity using the numerical particle method smooth particle
hydrodynamics (SPH). We use an elastic-plastic soil constitutive model for
large deformation and failure flows for dynamical behaviour of regolith. In the
context of proj... | 0 | 1 | 0 | 0 | 0 | 0 |
Lexical analysis of automated accounts on Twitter | In recent years, social bots have been using increasingly more sophisticated,
challenging detection strategies. While many approaches and features have been
proposed, social bots evade detection and interact much like humans making it
difficult to distinguish real human accounts from bot accounts. For detection
syste... | 1 | 0 | 0 | 0 | 0 | 0 |
The effect of the virial state of molecular clouds on the influence of feedback from massive stars | A set of Smoothed Particle Hydrodynamics simulations of the influence of
photoionising radiation and stellar winds on a series of 10$^{4}$M$_{\odot}$
turbulent molecular clouds with initial virial ratios of 0.7, 1.1, 1.5, 1.9 and
2.3 and initial mean densities of 136, 1135 and 9096\,cm$^{-3}$ are presented.
Reduction... | 0 | 1 | 0 | 0 | 0 | 0 |
A contract-based method to specify stimulus-response requirements | A number of formal methods exist for capturing stimulus-response requirements
in a declarative form. Someone yet needs to translate the resulting declarative
statements into imperative programs. The present article describes a method for
specification and verification of stimulus-response requirements in the form of
... | 1 | 0 | 0 | 0 | 0 | 0 |
Estimation of the covariance structure of heavy-tailed distributions | We propose and analyze a new estimator of the covariance matrix that admits
strong theoretical guarantees under weak assumptions on the underlying
distribution, such as existence of moments of only low order. While estimation
of covariance matrices corresponding to sub-Gaussian distributions is
well-understood, much ... | 0 | 0 | 1 | 1 | 0 | 0 |
Deep Reinforcement Learning for De-Novo Drug Design | We propose a novel computational strategy for de novo design of molecules
with desired properties termed ReLeaSE (Reinforcement Learning for Structural
Evolution). Based on deep and reinforcement learning approaches, ReLeaSE
integrates two deep neural networks - generative and predictive - that are
trained separately... | 1 | 0 | 0 | 1 | 0 | 0 |
Batch Data Processing and Gaussian Two-Armed Bandit | We consider the two-armed bandit problem as applied to data processing if
there are two alternative processing methods available with different a priori
unknown efficiencies. One should determine the most effective method and
provide its predominant application. Gaussian two-armed bandit describes the
batch, and poss... | 0 | 0 | 1 | 1 | 0 | 0 |
Estimating Under Five Mortality in Space and Time in a Developing World Context | Accurate estimates of the under-5 mortality rate (U5MR) in a developing world
context are a key barometer of the health of a nation. This paper describes new
models to analyze survey data on mortality in this context. We are interested
in both spatial and temporal description, that is, wishing to estimate U5MR
across... | 0 | 0 | 0 | 1 | 0 | 0 |
Cyclotomic Construction of Strong External Difference Families in Finite Fields | Strong external difference family (SEDF) and its generalizations GSEDF,
BGSEDF in a finite abelian group $G$ are combinatorial designs raised by
Paterson and Stinson [7] in 2016 and have applications in communication theory
to construct optimal strong algebraic manipulation detection codes. In this
paper we firstly p... | 1 | 0 | 1 | 0 | 0 | 0 |
Acoustic double negativity induced by position correlations within a disordered set of monopolar resonators | Using a Multiple Scattering Theory algorithm, we investigate numerically the
transmission of ultrasonic waves through a disordered locally resonant
metamaterial containing only monopolar resonators. By comparing the cases of a
perfectly random medium with its pair correlated counterpart, we show that the
introduction... | 0 | 1 | 0 | 0 | 0 | 0 |
Interoceptive robustness through environment-mediated morphological development | Typically, AI researchers and roboticists try to realize intelligent behavior
in machines by tuning parameters of a predefined structure (body plan and/or
neural network architecture) using evolutionary or learning algorithms. Another
but not unrelated longstanding property of these systems is their brittleness
to sl... | 1 | 0 | 0 | 0 | 0 | 0 |
Strichartz estimates for non-degenerate Schrödinger equations | We consider Schrödinger equation with a non-degenerate metric on the
Euclidean space. We study local in time Strichartz estimates for the
Schrödinger equation without loss of derivatives including the endpoint case.
In contrast to the Riemannian metric case, we need the additional assumptions
for the well-posedness o... | 0 | 0 | 1 | 0 | 0 | 0 |
On the Diophantine equation $\sum_{j=1}^kjF_j^p=F_n^q$ | Let $F_n$ denote the $n^{th}$ term of the Fibonacci sequence. In this paper,
we investigate the Diophantine equation $F_1^p+2F_2^p+\cdots+kF_{k}^p=F_{n}^q$
in the positive integers $k$ and $n$, where $p$ and $q$ are given positive
integers. A complete solution is given if the exponents are included in the set
$\{1,2\... | 0 | 0 | 1 | 0 | 0 | 0 |
Uncertainty measurement with belief entropy on interference effect in Quantum-Like Bayesian Networks | Social dilemmas have been regarded as the essence of evolution game theory,
in which the prisoner's dilemma game is the most famous metaphor for the
problem of cooperation. Recent findings revealed people's behavior violated the
Sure Thing Principle in such games. Classic probability methodologies have
difficulty exp... | 1 | 0 | 0 | 0 | 0 | 0 |
The diffusion equation with nonlocal data | We study the diffusion (or heat) equation on a finite 1-dimensional spatial
domain, but we replace one of the boundary conditions with a "nonlocal
condition", through which we specify a weighted average of the solution over
the spatial interval. We provide conditions on the regularity of both the data
and weight for ... | 0 | 0 | 1 | 0 | 0 | 0 |
Exploring Neural Transducers for End-to-End Speech Recognition | In this work, we perform an empirical comparison among the CTC,
RNN-Transducer, and attention-based Seq2Seq models for end-to-end speech
recognition. We show that, without any language model, Seq2Seq and
RNN-Transducer models both outperform the best reported CTC models with a
language model, on the popular Hub5'00 b... | 1 | 0 | 0 | 0 | 0 | 0 |
Information Theory of Data Privacy | By combining Shannon's cryptography model with an assumption to the lower
bound of adversaries' uncertainty to the queried dataset, we develop a secure
Bayesian inference-based privacy model and then in some extent answer Dwork et
al.'s question [1]: "why Bayesian risk factors are the right measure for
privacy loss".... | 1 | 0 | 0 | 0 | 0 | 0 |
A combined entropy and utility based generative model for large scale multiple discrete-continuous travel behaviour data | Generative models, either by simple clustering algorithms or deep neural
network architecture, have been developed as a probabilistic estimation method
for dimension reduction or to model the underlying properties of data
structures. Although their apparent use has largely been limited to image
recognition and classi... | 1 | 0 | 0 | 1 | 0 | 0 |
Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation | We study a spectral initialization method that serves a key role in recent
work on estimating signals in nonconvex settings. Previous analysis of this
method focuses on the phase retrieval problem and provides only performance
bounds. In this paper, we consider arbitrary generalized linear sensing models
and present ... | 1 | 0 | 0 | 1 | 0 | 0 |
Understanding GANs: the LQG Setting | Generative Adversarial Networks (GANs) have become a popular method to learn
a probability model from data. In this paper, we aim to provide an
understanding of some of the basic issues surrounding GANs including their
formulation, generalization and stability on a simple benchmark where the data
has a high-dimension... | 1 | 0 | 0 | 1 | 0 | 0 |
A Rosenau-type approach to the approximation of the linear Fokker--Planck equation | {The numerical approximation of the solution of the Fokker--Planck equation
is a challenging problem that has been extensively investigated starting from
the pioneering paper of Chang and Cooper in 1970. We revisit this problem at
the light of the approximation of the solution to the heat equation proposed by
Rosenau... | 0 | 0 | 1 | 0 | 0 | 0 |
Analysis of Footnote Chasing and Citation Searching in an Academic Search Engine | In interactive information retrieval, researchers consider the user behavior
towards systems and search tasks in order to adapt search results by analyzing
their past interactions. In this paper, we analyze the user behavior towards
Marcia Bates' search stratagems such as 'footnote chasing' and 'citation
search' in a... | 1 | 0 | 0 | 0 | 0 | 0 |
Direct Mapping Hidden Excited State Interaction Patterns from ab initio Dynamics and Its Implications on Force Field Development | The excited states of polyatomic systems are rather complex, and often
exhibit meta-stable dynamical behaviors. Static analysis of reaction pathway
often fails to sufficiently characterize excited state motions due to their
highly non-equilibrium nature. Here, we proposed a time series guided
clustering algorithm to ... | 0 | 1 | 0 | 1 | 0 | 0 |
You Are How You Walk: Uncooperative MoCap Gait Identification for Video Surveillance with Incomplete and Noisy Data | This work offers a design of a video surveillance system based on a soft
biometric -- gait identification from MoCap data. The main focus is on two
substantial issues of the video surveillance scenario: (1) the walkers do not
cooperate in providing learning data to establish their identities and (2) the
data are ofte... | 1 | 0 | 0 | 0 | 0 | 0 |
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network | Recent work by Cohen \emph{et al.} has achieved state-of-the-art results for
learning spherical images in a rotation invariant way by using ideas from group
representation theory and noncommutative harmonic analysis. In this paper we
propose a generalization of this work that generally exhibits improved
performace, b... | 0 | 0 | 0 | 1 | 0 | 0 |
Characterization of catastrophic instabilities: Market crashes as paradigm | Catastrophic events, though rare, do occur and when they occur, they have
devastating effects. It is, therefore, of utmost importance to understand the
complexity of the underlying dynamics and signatures of catastrophic events,
such as market crashes. For deeper understanding, we choose the US and Japanese
markets f... | 0 | 0 | 0 | 0 | 0 | 1 |
Discovery of Intrinsic Quantum Anomalous Hall Effect in Organic Mn-DCA Lattice | The quantum anomalous Hall (QAH) phase is a novel topological state of matter
characterized by a nonzero quantized Hall conductivity without an external
magnetic field. The realizations of QAH effect, however, are experimentally
challengeable. Based on ab initio calculations, here we propose an intrinsic
QAH phase in... | 0 | 1 | 0 | 0 | 0 | 0 |
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound | The automatic analysis of ultrasound sequences can substantially improve the
efficiency of clinical diagnosis. In this work we present our attempt to
automate the challenging task of measuring the vascular diameter of the fetal
abdominal aorta from ultrasound images. We propose a neural network
architecture consistin... | 0 | 0 | 0 | 1 | 0 | 0 |
The Role of Data Analysis in the Development of Intelligent Energy Networks | Data analysis plays an important role in the development of intelligent
energy networks (IENs). This article reviews and discusses the application of
data analysis methods for energy big data. The installation of smart energy
meters has provided a huge volume of data at different time resolutions,
suggesting data ana... | 1 | 0 | 0 | 0 | 0 | 0 |
Quantification of the memory effect of steady-state currents from interaction-induced transport in quantum systems | Dynamics of a system in general depends on its initial state and how the
system is driven, but in many-body systems the memory is usually averaged out
during evolution. Here, interacting quantum systems without external
relaxations are shown to retain long-time memory effects in steady states. To
identify memory effe... | 0 | 1 | 0 | 0 | 0 | 0 |
Geometrical optimization approach to isomerization: Models and limitations | We study laser-driven isomerization reactions through an excited electronic
state using the recently developed Geometrical Optimization procedure [J. Phys.
Chem. Lett. 6, 1724 (2015)]. The goal is to analyze whether an initial wave
packet in the ground state, with optimized amplitudes and phases, can be used
to enhan... | 0 | 1 | 0 | 0 | 0 | 0 |
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