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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Self-Organizing Maps as a Storage and Transfer Mechanism in Reinforcement Learning | The idea of reusing information from previously learned tasks (source tasks)
for the learning of new tasks (target tasks) has the potential to significantly
improve the sample efficiency reinforcement learning agents. In this work, we
describe an approach to concisely store and represent learned task knowledge,
and r... | 0 | 0 | 0 | 1 | 0 | 0 |
Distributed model predictive control for continuous-time nonlinear systems based on suboptimal ADMM | The paper presents a distributed model predictive control (DMPC) scheme for
continuous-time nonlinear systems based on the alternating direction method of
multipliers (ADMM). A stopping criterion in the ADMM algorithm limits the
iterations and therefore the required communication effort during the
distributed MPC sol... | 0 | 0 | 1 | 0 | 0 | 0 |
Implementing focal-plane phase masks optimized for real telescope apertures with SLM-based digital adaptive coronagraphy | Direct imaging of exoplanets or circumstellar disk material requires extreme
contrast at the 10-6 to 10-12 levels at < 100 mas angular separation from the
star. Focal-plane mask (FPM) coronagraphic imaging has played a key role in
this field, taking advantage of progress in Adaptive Optics on ground-based 8+m
class t... | 0 | 1 | 0 | 0 | 0 | 0 |
Verifying Asynchronous Interactions via Communicating Session Automata | The relationship between communicating automata and session types is the
cornerstone of many diverse theories and tools, including type checking, code
generation, and runtime verification. A serious limitation of session types is
that, while endpoint programs interact asynchronously, the underlying property
which gua... | 1 | 0 | 0 | 0 | 0 | 0 |
Phase induced transparency mediated structured beam generation in a closed-loop tripod configuration | We present a phase induced transparency based scheme to generate structured
beam patterns in a closed four level atomic system. We employ phase structured
probe beam and a transverse magnetic field (TMF) to create phase dependent
medium susceptibility. We show that such phase dependent modulation of
absorption holds ... | 0 | 1 | 0 | 0 | 0 | 0 |
Additional cases of positive twisted torus knots | A twisted torus knot is a knot obtained from a torus knot by twisting
adjacent strands by full twists. The twisted torus knots lie in $F$, the genus
2 Heegaard surface for $S^3$. Primitive/primitive and primitive/Seifert knots
lie in $F$ in a particular way. Dean gives sufficient conditions for the
parameters of the ... | 0 | 0 | 1 | 0 | 0 | 0 |
Action-conditional Sequence Modeling for Recommendation | In many online applications interactions between a user and a web-service are
organized in a sequential way, e.g., user browsing an e-commerce website. In
this setting, recommendation system acts throughout user navigation by showing
items. Previous works have addressed this recommendation setup through the task
of p... | 0 | 0 | 0 | 1 | 0 | 0 |
Limits of End-to-End Learning | End-to-end learning refers to training a possibly complex learning system by
applying gradient-based learning to the system as a whole. End-to-end learning
system is specifically designed so that all modules are differentiable. In
effect, not only a central learning machine, but also all "peripheral" modules
like rep... | 1 | 0 | 0 | 1 | 0 | 0 |
Quantum Graphs: $ \mathcal{PT}$-symmetry and reflection symmetry of the spectrum | Not necessarily self-adjoint quantum graphs -- differential operators on
metric graphs -- are considered. Assume in addition that the underlying metric
graph possesses an automorphism (symmetry) $ \mathcal P $. If the differential
operator is $ \mathcal P \mathcal T$-symmetric, then its spectrum has
reflection symmet... | 0 | 0 | 1 | 0 | 0 | 0 |
On Diophantine equations involving sums of Fibonacci numbers and powers of $2$ | In this paper, we completely solve the Diophantine equations $F_{n_1} +
F_{n_2} = 2^{a_1} + 2^{a_2} + 2^{a_3}$ and $ F_{m_1} + F_{m_2} + F_{m_3}
=2^{t_1} + 2^{t_2} $, where $F_k$ denotes the $k$-th Fibonacci number. In
particular, we prove that $\max \{n_1, n_2, a_1, a_2, a_3 \}\leq 18$ and $\max
\{ m_1, m_2, m_3, t_... | 0 | 0 | 1 | 0 | 0 | 0 |
T-duality in rational homotopy theory via $L_\infty$-algebras | We combine Sullivan models from rational homotopy theory with Stasheff's
$L_\infty$-algebras to describe a duality in string theory. Namely, what in
string theory is known as topological T-duality between $K^0$-cocycles in type
IIA string theory and $K^1$-cocycles in type IIB string theory, or as Hori's
formula, can ... | 0 | 0 | 1 | 0 | 0 | 0 |
Phasebook and Friends: Leveraging Discrete Representations for Source Separation | Deep learning based speech enhancement and source separation systems have
recently reached unprecedented levels of quality, to the point that performance
is reaching a new ceiling. Most systems rely on estimating the magnitude of a
target source by estimating a real-valued mask to be applied to a
time-frequency repre... | 1 | 0 | 0 | 0 | 0 | 0 |
RankDCG: Rank-Ordering Evaluation Measure | Ranking is used for a wide array of problems, most notably information
retrieval (search). There are a number of popular approaches to the evaluation
of ranking such as Kendall's $\tau$, Average Precision, and nDCG. When dealing
with problems such as user ranking or recommendation systems, all these
measures suffer f... | 1 | 0 | 0 | 0 | 0 | 0 |
FUV Spectral Signatures of Molecules and the Evolution of the Gaseous Coma of Comet 67P/Churyumov-Gerasimenko | The Alice far-ultraviolet imaging spectrograph onboard Rosetta observed
emissions from atomic and molecular species from within the coma of comet
67P/Churyumov-Gerasimenko during the entire escort phase of the mission from
2014 August to 2016 September. The initial observations showed that emissions
of atomic hydroge... | 0 | 1 | 0 | 0 | 0 | 0 |
Adsorption and desorption of hydrogen at nonpolar GaN(1-100) surfaces: Kinetics and impact on surface vibrational and electronic properties | The adsorption of hydrogen at nonpolar GaN(1-100) surfaces and its impact on
the electronic and vibrational properties is investigated using surface
electron spectroscopy in combination with density functional theory (DFT)
calculations. For the surface mediated dissociation of H2 and the subsequent
adsorption of H, a... | 0 | 1 | 0 | 0 | 0 | 0 |
Application of the Fast Multipole Fully Coupled Poroelastic Displacement Discontinuity Method to Hydraulic Fracturing Problems | In this study, a fast multipole method (FMM) is used to decrease the
computational time of a fully-coupled poroelastic hydraulic fracture model with
a controllable effect on its accuracy. The hydraulic fracture model is based on
the poroelastic formulation of the displacement discontinuity method (DDM)
which is a spe... | 1 | 0 | 0 | 0 | 0 | 0 |
Conduction Channels of an InAs-Al nanowire Josephson weak link | We present a quantitative characterization of an electrically tunable
Josephson junction defined in an InAs nanowire proximitized by an
epitax-ially-grown superconducting Al shell. The gate-dependence of the number
of conduction channels and of the set of transmission coefficients are
extracted from the highly nonlin... | 0 | 1 | 0 | 0 | 0 | 0 |
Two-level Chebyshev filter based complementary subspace method: pushing the envelope of large-scale electronic structure calculations | We describe a novel iterative strategy for Kohn-Sham density functional
theory calculations aimed at large systems (> 1000 electrons), applicable to
metals and insulators alike. In lieu of explicit diagonalization of the
Kohn-Sham Hamiltonian on every self-consistent field (SCF) iteration, we employ
a two-level Cheby... | 0 | 1 | 0 | 0 | 0 | 0 |
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications | Medical applications challenge today's text categorization techniques by
demanding both high accuracy and ease-of-interpretation. Although deep learning
has provided a leap ahead in accuracy, this leap comes at the sacrifice of
interpretability. To address this accuracy-interpretability challenge, we here
introduce, ... | 0 | 0 | 0 | 1 | 0 | 0 |
Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator | Supervised learning, more specifically Convolutional Neural Networks (CNN),
has surpassed human ability in some visual recognition tasks such as detection
of traffic signs, faces and handwritten numbers. On the other hand, even
state-of-the-art reinforcement learning (RL) methods have difficulties in
environments wit... | 1 | 0 | 0 | 0 | 0 | 0 |
Isotope Shifts in the 7s$\rightarrow$8s Transition of Francium: Measurements and Comparison to \textit{ab initio} Theory | We observe the electric-dipole forbidden $7s\rightarrow8s$ transition in the
francium isotopes $^{208-211}$Fr and $^{213}$Fr using a two-photon excitation
scheme. We collect the atoms online from an accelerator and confine them in a
magneto optical trap for the measurements. In combination with previous
measurements ... | 0 | 1 | 0 | 0 | 0 | 0 |
SRM: An Efficient Framework for Autonomous Robotic Exploration in Indoor Environments | In this paper, we propose an integrated framework for the autonomous robotic
exploration in indoor environments. Specially, we present a hybrid map, named
Semantic Road Map (SRM), to represent the topological structure of the explored
environment and facilitate decision-making in the exploration. The SRM is built
inc... | 1 | 0 | 0 | 0 | 0 | 0 |
Mechanisms for bacterial gliding motility on soft substrates | The motility mechanism of certain rod-shaped bacteria has long been a
mystery, since no external appendages are involved in their motion which is
known as gliding. However, the physical principles behind gliding motility
still remain poorly understood. Using myxobacteria as a canonical example of
such organisms, we i... | 0 | 0 | 0 | 0 | 1 | 0 |
Random Walk in a N-cube Without Hamiltonian Cycle to Chaotic Pseudorandom Number Generation: Theoretical and Practical Considerations | Designing a pseudorandom number generator (PRNG) is a difficult and complex
task. Many recent works have considered chaotic functions as the basis of built
PRNGs: the quality of the output would indeed be an obvious consequence of some
chaos properties. However, there is no direct reasoning that goes from chaotic
fun... | 1 | 1 | 0 | 0 | 0 | 0 |
A Hardware Platform for Efficient Multi-Modal Sensing with Adaptive Approximation | We present Warp, a hardware platform to support research in approximate
computing, sensor energy optimization, and energy-scavenged systems. Warp
incorporates 11 state-of-the-art sensor integrated circuits, computation, and
an energy-scavenged power supply, all within a miniature system that is just
3.6 cm x 3.3 cm x... | 1 | 0 | 0 | 0 | 0 | 0 |
Electrocaloric effects in the lead-free Ba(Zr,Ti)O$_{3}$ relaxor ferroelectric from atomistic simulations | Atomistic effective Hamiltonian simulations are used to investigate
electrocaloric (EC) effects in the lead-free Ba(Zr$_{0.5}$Ti$_{0.5}$)O$_{3}$
(BZT) relaxor ferroelectric. We find that the EC coefficient varies
non-monotonically with the field at any temperature, presenting a maximum that
can be traced back to the ... | 0 | 1 | 0 | 0 | 0 | 0 |
Accelerating Permutation Testing in Voxel-wise Analysis through Subspace Tracking: A new plugin for SnPM | Permutation testing is a non-parametric method for obtaining the max null
distribution used to compute corrected $p$-values that provide strong control
of false positives. In neuroimaging, however, the computational burden of
running such an algorithm can be significant. We find that by viewing the
permutation testin... | 1 | 0 | 0 | 1 | 0 | 0 |
Image restoration of solar spectra | When recording spectra from the ground, atmospheric turbulence causes
degradation of the spatial resolution. We present a data reduction method that
restores the spatial resolution of the spectra to their undegraded state. By
assuming that the point spread function (PSF) estimated from a strictly
synchronized, broadb... | 0 | 1 | 0 | 0 | 0 | 0 |
Who Said What: Modeling Individual Labelers Improves Classification | Data are often labeled by many different experts with each expert only
labeling a small fraction of the data and each data point being labeled by
several experts. This reduces the workload on individual experts and also gives
a better estimate of the unobserved ground truth. When experts disagree, the
standard approa... | 1 | 0 | 0 | 0 | 0 | 0 |
Automated Tiling of Unstructured Mesh Computations with Application to Seismological Modelling | Sparse tiling is a technique to fuse loops that access common data, thus
increasing data locality. Unlike traditional loop fusion or blocking, the loops
may have different iteration spaces and access shared datasets through indirect
memory accesses, such as A[map[i]] -- hence the name "sparse". One notable
example of... | 1 | 1 | 0 | 0 | 0 | 0 |
A copula approach for dependence modeling in multivariate nonparametric time series | This paper is concerned with modeling the dependence structure of two (or
more) time-series in the presence of a (possible multivariate) covariate which
may include past values of the time series. We assume that the covariate
influences only the conditional mean and the conditional variance of each of
the time series... | 0 | 0 | 1 | 1 | 0 | 0 |
A geometric second-order-rectifiable stratification for closed subsets of Euclidean space | Defining the $m$-th stratum of a closed subset of an $n$ dimensional
Euclidean space to consist of those points, where it can be touched by a ball
from at least $n-m$ linearly independent directions, we establish that the
$m$-th stratum is second-order rectifiable of dimension $m$ and a Borel set.
This was known for ... | 0 | 0 | 1 | 0 | 0 | 0 |
Probabilistic Formulations of Regression with Mixed Guidance | Regression problems assume every instance is annotated (labeled) with a real
value, a form of annotation we call \emph{strong guidance}. In order for these
annotations to be accurate, they must be the result of a precise experiment or
measurement. However, in some cases additional \emph{weak guidance} might be
given ... | 0 | 0 | 0 | 1 | 0 | 0 |
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering | Traditional models for question answering optimize using cross entropy loss,
which encourages exact answers at the cost of penalizing nearby or overlapping
answers that are sometimes equally accurate. We propose a mixed objective that
combines cross entropy loss with self-critical policy learning. The objective
uses ... | 1 | 0 | 0 | 0 | 0 | 0 |
An optimal unrestricted learning procedure | We study learning problems involving arbitrary classes of functions $F$,
distributions $X$ and targets $Y$. Because proper learning procedures, i.e.,
procedures that are only allowed to select functions in $F$, tend to perform
poorly unless the problem satisfies some additional structural property (e.g.,
that $F$ is ... | 0 | 0 | 0 | 1 | 0 | 0 |
Means of infinite sets I | We open a new field on how one can define means on infinite sets. We
investigate many different ways on how such means can be constructed. One
method is based on sequences of ideals, other deals with accumulation points,
one uses isolated points, other deals with average using integral, other with
limit of average on... | 0 | 0 | 1 | 0 | 0 | 0 |
On tamed almost complex four manifolds | This paper proves that on any tamed closed almost complex four-manifold
$(M,J)$ whose dimension of $J$-anti-invariant cohomology is equal to self-dual
second Betti number minus one, there exists a new symplectic form compatible
with the given almost complex structure $J$. In particular, if the self-dual
second Betti ... | 0 | 0 | 1 | 0 | 0 | 0 |
Evaluation and Prediction of Polygon Approximations of Planar Contours for Shape Analysis | Contours may be viewed as the 2D outline of the image of an object. This type
of data arises in medical imaging as well as in computer vision and can be
modeled as data on a manifold and can be studied using statistical shape
analysis. Practically speaking, each observed contour, while theoretically
infinite dimensio... | 0 | 0 | 0 | 1 | 0 | 0 |
Perturbative Expansion of Irreversible Work in Fokker-Planck Equation a la Quantum Mechanics | We discuss the systematic expansion of the solution of the Fokker-Planck
equation with the help of the eigenfunctions of the time-dependent
Fokker-Planck operator. The expansion parameter is the time derivative of the
external parameter which controls the form of an external potential. Our
expansion corresponds to th... | 0 | 1 | 1 | 0 | 0 | 0 |
Operational Semantics of Process Monitors | CSPe is a specification language for runtime monitors that can directly
express concurrency in a bottom-up manner that composes the system from
simpler, interacting components. It includes constructs to explicitly flag
failures to the monitor, which unlike deadlocks and livelocks in conventional
process algebras, pro... | 1 | 0 | 0 | 0 | 0 | 0 |
Anyonic Entanglement and Topological Entanglement Entropy | We study the properties of entanglement in two-dimensional topologically
ordered phases of matter. Such phases support anyons, quasiparticles with
exotic exchange statistics. The emergent nonlocal state spaces of anyonic
systems admit a particular form of entanglement that does not exist in
conventional quantum mecha... | 0 | 1 | 0 | 0 | 0 | 0 |
Water-based and Biocompatible 2D Crystal Inks: from Ink Formulation to All- Inkjet Printed Heterostructures | Fully exploiting the properties of 2D crystals requires a mass production
method able to produce heterostructures of arbitrary complexity on any
substrate, including plastic. Solution processing of graphene allows simple and
low-cost techniques such as inkjet printing to be used for device fabrication.
However, avail... | 0 | 1 | 0 | 0 | 0 | 0 |
Clustering to Reduce Spatial Data Set Size | Traditionally it had been a problem that researchers did not have access to
enough spatial data to answer pressing research questions or build compelling
visualizations. Today, however, the problem is often that we have too much
data. Spatially redundant or approximately redundant points may refer to a
single feature... | 0 | 0 | 0 | 1 | 0 | 0 |
Thermal diffusivity and chaos in metals without quasiparticles | We study the thermal diffusivity $D_T$ in models of metals without
quasiparticle excitations (`strange metals'). The many-body quantum chaos and
transport properties of such metals can be efficiently described by a
holographic representation in a gravitational theory in an emergent curved
spacetime with an additional... | 0 | 1 | 0 | 0 | 0 | 0 |
The Quest for Scalability and Accuracy in the Simulation of the Internet of Things: an Approach based on Multi-Level Simulation | This paper presents a methodology for simulating the Internet of Things (IoT)
using multi-level simulation models. With respect to conventional simulators,
this approach allows us to tune the level of detail of different parts of the
model without compromising the scalability of the simulation. As a use case, we
have... | 1 | 0 | 0 | 0 | 0 | 0 |
Harmonic spinors from twistors and potential forms | Symmetry operators of twistor spinors and harmonic spinors can be constructed
from conformal Killing-Yano forms. Transformation operators relating twistors
to harmonic spinors are found in terms of potential forms. These constructions
are generalized to gauged twistor spinors and gauged harmonic spinors. The
operator... | 0 | 0 | 1 | 0 | 0 | 0 |
Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes | We consider marked empirical processes indexed by a randomly projected
functional covariate to construct goodness-of-fit tests for the functional
linear model with scalar response. The test statistics are built from
continuous functionals over the projected process, resulting in computationally
efficient tests that e... | 0 | 0 | 0 | 1 | 0 | 0 |
Efficient method for estimating the number of communities in a network | While there exist a wide range of effective methods for community detection
in networks, most of them require one to know in advance how many communities
one is looking for. Here we present a method for estimating the number of
communities in a network using a combination of Bayesian inference with a novel
prior and ... | 1 | 1 | 0 | 0 | 0 | 0 |
The Pluto System After New Horizons | The discovery of Pluto in 1930 presaged the discoveries of both the Kuiper
Belt and ice dwarf planets, which are the third class of planets in our solar
system. From the 1970s to the 19990s numerous fascinating attributes of the
Pluto system were discovered, including multiple surface volatile species,
Pluto's large ... | 0 | 1 | 0 | 0 | 0 | 0 |
Global-in-time Strichartz estimates and cubic Schrodinger equation on metric cone | We study the Strichartz estimates for Schrödinger equation on a metric cone
$X$, where the metric cone $X=C(Y)=(0,\infty)_r\times Y$ and the cross section
$Y$ is a $(n-1)$-dimensional closed Riemannian manifold $(Y,h)$. The equipped
metric on $X$ is given by $g=dr^2+r^2h$, and let $\Delta_g$ be the Friedrich
extensio... | 0 | 0 | 1 | 0 | 0 | 0 |
Compressive Embedding and Visualization using Graphs | Visualizing high-dimensional data has been a focus in data analysis
communities for decades, which has led to the design of many algorithms, some
of which are now considered references (such as t-SNE for example). In our era
of overwhelming data volumes, the scalability of such methods have become more
and more impor... | 1 | 0 | 0 | 1 | 0 | 0 |
Electrical control of metallic heavy-metal/ferromagnet interfacial states | Voltage control effects provide an energy-efficient means of tailoring
material properties, especially in highly integrated nanoscale devices.
However, only insulating and semiconducting systems can be controlled so far.
In metallic systems, there is no electric field due to electron screening
effects and thus no suc... | 0 | 1 | 0 | 0 | 0 | 0 |
An Expectation-Maximization Algorithm for the Fractal Inverse Problem | We present an Expectation-Maximization algorithm for the fractal inverse
problem: the problem of fitting a fractal model to data. In our setting the
fractals are Iterated Function Systems (IFS), with similitudes as the family of
transformations. The data is a point cloud in ${\mathbb R}^H$ with arbitrary
dimension $H... | 1 | 0 | 0 | 1 | 0 | 0 |
An Improved SCFlip Decoder for Polar Codes | This paper focuses on the recently introduced Successive Cancellation Flip
(SCFlip) decoder of polar codes. Our contribution is twofold. First, we propose
the use of an optimized metric to determine the flipping positions within the
SCFlip decoder, which improves its ability to find the first error that
occurred duri... | 1 | 0 | 0 | 0 | 0 | 0 |
Generation of controllable plasma wakefield noise in particle-in-cell simulations | Numerical simulations of beam-plasma instabilities may produce quantitatively
incorrect results because of unrealistically high initial noise from which the
instabilities develop. Of particular importance is the wakefield noise, the
potential perturbations that have a phase velocity which is equal to the beam
velocit... | 0 | 1 | 0 | 0 | 0 | 0 |
Variable Exponent Fock Spaces | In this article we introduce Variable exponent Fock spaces and study some of
their basic properties such as the boundedness of evaluation functionals,
density of polynomials, boundedness of a Bergman-type projection and duality.
| 0 | 0 | 1 | 0 | 0 | 0 |
Pattern representation and recognition with accelerated analog neuromorphic systems | Despite being originally inspired by the central nervous system, artificial
neural networks have diverged from their biological archetypes as they have
been remodeled to fit particular tasks. In this paper, we review several
possibilites to reverse map these architectures to biologically more realistic
spiking networ... | 1 | 0 | 0 | 1 | 0 | 0 |
Dynamic Policies for Cooperative Networked Systems | A set of economic entities embedded in a network graph collaborate by
opportunistically exchanging their resources to satisfy their dynamically
generated needs. Under what conditions their collaboration leads to a
sustainable economy? Which online policy can ensure a feasible resource
exchange point will be attained,... | 1 | 0 | 0 | 0 | 0 | 0 |
On certain families of planar patterns and fractals | This survey article is dedicated to some families of fractals that were
introduced and studied during the last decade, more precisely, families of
Sierpiński carpets: limit net sets, generalised Sierpiński carpets and
labyrinth fractals. We give a unifying approach of these fractals and several
of their topological a... | 0 | 0 | 1 | 0 | 0 | 0 |
Static Dalvik VM bytecode instrumentation | This work proposes a novel approach to restricting the access for blacklisted
Android system API calls. Main feature of the suggested method introduced in
this paper is that it requires only rootless or (user-mode) access to the
system unlike previous works. For that reason this method is valuable for
end-users due t... | 1 | 0 | 0 | 0 | 0 | 0 |
PMU-Based Estimation of Dynamic State Jacobian Matrix | In this paper, a hybrid measurement- and model-based method is proposed which
can estimate the dynamic state Jacobian matrix in near real-time. The proposed
method is computationally efficient and robust to the variation of network
topology. A numerical example is given to show that the proposed method is able
to pro... | 1 | 0 | 0 | 0 | 0 | 0 |
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast | Running high-resolution physical models is computationally expensive and
essential for many disciplines. Agriculture, transportation, and energy are
sectors that depend on high-resolution weather models, which typically consume
many hours of large High Performance Computing (HPC) systems to deliver timely
results. Ma... | 0 | 0 | 0 | 1 | 0 | 0 |
Open quantum random walks on the half-line: the Karlin-McGregor formula, path counting and Foster's Theorem | In this work we consider open quantum random walks on the non-negative
integers. By considering orthogonal matrix polynomials we are able to describe
transition probability expressions for classes of walks via a matrix version of
the Karlin-McGregor formula. We focus on absorbing boundary conditions and, for
simpler ... | 0 | 0 | 1 | 0 | 0 | 0 |
Nevanlinna classes associated to a closed set on $\partial$D | We introduce Nevanlinna classes of holomorphic functions associated to a
closed set on the boundary of the unit disc in the complex plane and we get
Blaschke type theorems relative to these classes by use of several complex
variables methods. This gives alternative proofs of some results of Favorov \&
Golinskii, usef... | 0 | 0 | 1 | 0 | 0 | 0 |
Exploring the nuances in the relationship "culture-strategy" for the business world | The current article explores interesting, significant and recently identified
nuances in the relationship "culture-strategy". The shared views of leading
scholars at the University of National and World Economy in relation with the
essence, direction, structure, role and hierarchy of "culture-strategy"
relation are d... | 0 | 0 | 0 | 0 | 0 | 1 |
Audio style transfer | 'Style transfer' among images has recently emerged as a very active research
topic, fuelled by the power of convolution neural networks (CNNs), and has
become fast a very popular technology in social media. This paper investigates
the analogous problem in the audio domain: How to transfer the style of a
reference aud... | 1 | 1 | 0 | 0 | 0 | 0 |
Hyperbolic pseudoinverses for kinematics in the Euclidean group | The kinematics of a robot manipulator are described in terms of the mapping
connecting its joint space and the 6-dimensional Euclidean group of motions
$SE(3)$. The associated Jacobian matrices map into its Lie algebra
$\mathfrak{se}(3)$, the space of twists describing infinitesimal motion of a
rigid body. Control me... | 0 | 0 | 1 | 0 | 0 | 0 |
Nonlinear Unknown Input and State Estimation Algorithm in Mobile Robots | This technical report provides the description and the derivation of a novel
nonlinear unknown input and state estimation algorithm (NUISE) for mobile
robots. The algorithm is designed for real-world robots with nonlinear dynamic
models and subject to stochastic noises on sensing and actuation. Leveraging
sensor read... | 1 | 0 | 0 | 0 | 0 | 0 |
Acute sets | A set of points in $\mathbb{R}^d$ is acute, if any three points from this set
form an acute triangle. In this note we construct an acute set in
$\mathbb{R}^d$ of size at least $1.618^d$. Also, we present a simple example of
an acute set of size at least $2^{\frac{d}{2}}$.
| 0 | 0 | 1 | 0 | 0 | 0 |
Session Analysis using Plan Recognition | This paper presents preliminary results of our work with a major financial
company, where we try to use methods of plan recognition in order to
investigate the interactions of a costumer with the company's online interface.
In this paper, we present the first steps of integrating a plan recognition
algorithm in a rea... | 1 | 0 | 0 | 0 | 0 | 0 |
Personalized Driver Stress Detection with Multi-task Neural Networks using Physiological Signals | Stress can be seen as a physiological response to everyday emotional, mental
and physical challenges. A long-term exposure to stressful situations can have
negative health consequences, such as increased risk of cardiovascular diseases
and immune system disorder. Therefore, a timely stress detection can lead to
syste... | 1 | 0 | 0 | 0 | 0 | 0 |
Budgeted Experiment Design for Causal Structure Learning | We study the problem of causal structure learning when the experimenter is
limited to perform at most $k$ non-adaptive experiments of size $1$. We
formulate the problem of finding the best intervention target set as an
optimization problem, which aims to maximize the average number of edges whose
directions are resol... | 1 | 0 | 0 | 1 | 0 | 0 |
Evaluating the Robustness of Rogue Waves Under Perturbations | Rogue waves, and their periodic counterparts, have been shown to exist in a
number of integrable models. However, relatively little is known about the
existence of these objects in models where an exact formula is unattainable. In
this work, we develop a novel numerical perspective towards identifying such
states as ... | 0 | 1 | 0 | 0 | 0 | 0 |
Feeble fish in time-dependent waters and homogenization of the G-equation | We study the following control problem. A fish with bounded aquatic
locomotion speed swims in fast waters. Can this fish, under reasonable
assumptions, get to a desired destination? It can, even if the flow is
time-dependent. Moreover, given a prescribed sufficiently large time $t$, it
can be there at exactly the tim... | 0 | 0 | 1 | 0 | 0 | 0 |
Betti tables for indecomposable matrix factorizations of $XY(X-Y)(X-λY)$ | We classify the Betti tables of indecomposable graded matrix factorizations
over the simple elliptic singularity $f_\lambda = XY(X-Y)(X-\lambda Y)$ by
making use of an associated weighted projective line of genus one.
| 0 | 0 | 1 | 0 | 0 | 0 |
Discrete Integrable Systems, Supersymmetric Quantum Mechanics, and Framed BPS States - I | It is possible to understand whether a given BPS spectrum is generated by a
relevant deformation of a 4D N=2 SCFT or of an asymptotically free theory from
the periodicity properties of the corresponding quantum monodromy. With the aim
of giving a better understanding of the above conjecture, in this paper we
revisit ... | 0 | 1 | 1 | 0 | 0 | 0 |
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression | In order to scale standard Gaussian process (GP) regression to large-scale
datasets, aggregation models employ factorized training process and then
combine predictions from distributed experts. The state-of-the-art aggregation
models, however, either provide inconsistent predictions or require
time-consuming aggregat... | 0 | 0 | 0 | 1 | 0 | 0 |
Network Inference from a Link-Traced Sample using Approximate Bayesian Computation | We present a new inference method based on approximate Bayesian computation
for estimating parameters governing an entire network based on link-traced
samples of that network. To do this, we first take summary statistics from an
observed link-traced network sample, such as a recruitment network of subjects
in a hard-... | 1 | 1 | 0 | 1 | 0 | 0 |
Variational Dropout Sparsifies Deep Neural Networks | We explore a recently proposed Variational Dropout technique that provided an
elegant Bayesian interpretation to Gaussian Dropout. We extend Variational
Dropout to the case when dropout rates are unbounded, propose a way to reduce
the variance of the gradient estimator and report first experimental results
with indiv... | 1 | 0 | 0 | 1 | 0 | 0 |
A note on clustered cells | This note contains additions to the paper 'Clustered cell decomposition in
P-minimal structures' (arXiv:1612.02683). We discuss a question which was
raised in that paper, on the order of clustered cells. We also consider a
notion of cells of minimal order, which is a slight optimalisation of the
theorem from the orig... | 0 | 0 | 1 | 0 | 0 | 0 |
Record statistics of a strongly correlated time series: random walks and Lévy flights | We review recent advances on the record statistics of strongly correlated
time series, whose entries denote the positions of a random walk or a Lévy
flight on a line. After a brief survey of the theory of records for independent
and identically distributed random variables, we focus on random walks. During
the last f... | 0 | 1 | 1 | 0 | 0 | 0 |
On nonlinear instability of Prandtl's boundary layers: the case of Rayleigh's stable shear flows | In this paper, we study Prandtl's boundary layer asymptotic expansion for
incompressible fluids on the half-space in the inviscid limit. In \cite{Gr1},
E. Grenier proved that Prandtl's Ansatz is false for data with Sobolev
regularity near Rayleigh's unstable shear flows. In this paper, we show that
this Ansatz is als... | 0 | 0 | 1 | 0 | 0 | 0 |
Subspace Clustering with Missing and Corrupted Data | Given full or partial information about a collection of points that lie close
to a union of several subspaces, subspace clustering refers to the process of
clustering the points according to their subspace and identifying the
subspaces. One popular approach, sparse subspace clustering (SSC), represents
each sample as... | 0 | 0 | 0 | 1 | 0 | 0 |
Monte Carlo Tensor Network Renormalization | Techniques for approximately contracting tensor networks are limited in how
efficiently they can make use of parallel computing resources. In this work we
demonstrate and characterize a Monte Carlo approach to the tensor network
renormalization group method which can be used straightforwardly on modern
computing arch... | 0 | 1 | 0 | 0 | 0 | 0 |
Experimental study of electron and phonon dynamics in nanoscale materials by ultrafast laser time-domain spectroscopy | With the rapid advances in the development of nanotechnology, nowadays, the
sizes of elementary unit, i.e. transistor, of micro- and nanoelectronic devices
are well deep into nanoscale. For the pursuit of cheaper and faster nanoscale
electronic devices, the size of transistors keeps scaling down. As the
miniaturizati... | 0 | 1 | 0 | 0 | 0 | 0 |
SSGP topologies on abelian groups of positive finite divisible rank | Let G be an abelian group. For a subset A of G, Cyc(A) denotes the set of all
elements x of G such that the cyclic subgroup generated by x is contained in A,
and G is said to have the small subgroup generating property (abbreviated to
SSGP) if the smallest subgroup of G generated by Cyc(U) is dense in G for every
nei... | 0 | 0 | 1 | 0 | 0 | 0 |
Intelligent Pothole Detection and Road Condition Assessment | Poor road conditions are a public nuisance, causing passenger discomfort,
damage to vehicles, and accidents. In the U.S., road-related conditions are a
factor in 22,000 of the 42,000 traffic fatalities each year. Although we often
complain about bad roads, we have no way to detect or report them at scale. To
address ... | 1 | 0 | 0 | 0 | 0 | 0 |
Concrete Autoencoders for Differentiable Feature Selection and Reconstruction | We introduce the concrete autoencoder, an end-to-end differentiable method
for global feature selection, which efficiently identifies a subset of the most
informative features and simultaneously learns a neural network to reconstruct
the input data from the selected features. Our method is unsupervised, and is
based ... | 1 | 0 | 0 | 1 | 0 | 0 |
Emergence and complexity in theoretical models of self-organized criticality | In this thesis we present few theoretical studies of the models of
self-organized criticality. Following a brief introduction of self-organized
criticality, we discuss three main problems. The first problem is about growing
patterns formed in the abelian sandpile model (ASM). The patterns exhibit
proportionate growth... | 0 | 1 | 1 | 0 | 0 | 0 |
An Extension of Averaged-Operator-Based Algorithms | Many of the algorithms used to solve minimization problems with
sparsity-inducing regularizers are generic in the sense that they do not take
into account the sparsity of the solution in any particular way. However,
algorithms known as semismooth Newton are able to take advantage of this
sparsity to accelerate their ... | 0 | 0 | 0 | 1 | 0 | 0 |
Along the sun-drenched roadside: On the interplay between urban street orientation entropy and the buildings' solar potential | We explore the relation between urban road network characteristics
particularly circuitry, street orientation entropy and the city's topography on
the one hand and the building's orientation entropy on the other in order to
quantify their effect on the city's solar potential. These statistical measures
of the road ne... | 0 | 1 | 0 | 0 | 0 | 0 |
$HD(M\setminus L)>0.353$ | The complement $M\setminus L$ of the Lagrange spectrum $L$ in the Markov
spectrum $M$ was studied by many authors (including Freiman, Berstein, Cusick
and Flahive). After their works, we disposed of a countable collection of
points in $M\setminus L$.
In this article, we describe the structure of $M\setminus L$ near a... | 0 | 0 | 1 | 0 | 0 | 0 |
Comparing the dark matter models, modified Newtonian dynamics and modified gravity in accounting for the galaxy rotation curves | We compare six models (including the baryonic model, two dark matter models,
two modified Newtonian dynamics models and one modified gravity model) in
accounting for the galaxy rotation curves. For the dark matter models, we
assume NFW profile and core-modified profile for the dark halo, respectively.
For the modifie... | 0 | 1 | 0 | 0 | 0 | 0 |
Good Clusterings Have Large Volume | The clustering of a data set is one of the core tasks in data analytics. Many
clustering algorithms exhibit a strong contrast between a favorable performance
in practice and bad theoretical worst-cases. Prime examples are least-squares
assignments and the popular $k$-means algorithm. We are interested in this
contras... | 0 | 0 | 1 | 0 | 0 | 0 |
Regularity of Lie Groups | We solve the regularity problem for Milnor's infinite dimensional Lie groups
in the $C^0$-topological context, and provide necessary and sufficient
regularity conditions for the standard setting ($C^k$-topology). We prove that
the evolution map is $C^0$-continuous on its domain $\textit{iff}\hspace{1pt}$
the Lie grou... | 0 | 0 | 1 | 0 | 0 | 0 |
A study on text-score disagreement in online reviews | In this paper, we focus on online reviews and employ artificial intelligence
tools, taken from the cognitive computing field, to help understanding the
relationships between the textual part of the review and the assigned numerical
score. We move from the intuitions that 1) a set of textual reviews expressing
differe... | 1 | 0 | 0 | 0 | 0 | 0 |
Convergence rates for nonequilibrium Langevin dynamics | We study the exponential convergence to the stationary state for
nonequilibrium Langevin dynamics, by a perturbative approach based on
hypocoercive techniques developed for equilibrium Langevin dynamics. The
Hamiltonian and overdamped limits (corresponding respectively to frictions
going to zero or infinity) are care... | 0 | 1 | 1 | 0 | 0 | 0 |
Natural Extension of Hartree-Fock through extremal $1$-fermion information: Overview and application to the lithium atom | Fermionic natural occupation numbers do not only obey Pauli's exclusion
principle but are even stronger restricted by so-called generalized Pauli
constraints. Whenever given natural occupation numbers lie on the boundary of
the allowed region the corresponding $N$-fermion quantum state has a
significantly simpler str... | 0 | 1 | 0 | 0 | 0 | 0 |
Homotopy Parametric Simplex Method for Sparse Learning | High dimensional sparse learning has imposed a great computational challenge
to large scale data analysis. In this paper, we are interested in a broad class
of sparse learning approaches formulated as linear programs parametrized by a
{\em regularization factor}, and solve them by the parametric simplex method
(PSM).... | 1 | 0 | 1 | 1 | 0 | 0 |
Fractional Operators with Inhomogeneous Boundary Conditions: Analysis, Control, and Discretization | In this paper we introduce new characterizations of spectral fractional
Laplacian to incorporate nonhomogeneous Dirichlet and Neumann boundary
conditions. The classical cases with homogeneous boundary conditions arise as a
special case. We apply our definition to fractional elliptic equations of order
$s \in (0,1)$ w... | 0 | 0 | 1 | 0 | 0 | 0 |
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