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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A critical analysis of string APIs: The case of Pharo | Most programming languages, besides C, provide a native abstraction for
character strings, but string APIs vary widely in size, expressiveness, and
subjective convenience across languages. In Pharo, while at first glance the
API of the String class seems rich, it often feels cumbersome in practice; to
improve its usa... | 1 | 0 | 0 | 0 | 0 | 0 |
Power Maxwell distribution: Statistical Properties, Estimation and Application | In this article, we proposed a new probability distribution named as power
Maxwell distribution (PMaD). It is another extension of Maxwell distribution
(MaD) which would lead more flexibility to analyze the data with non-monotone
failure rate. Different statistical properties such as reliability
characteristics, mome... | 0 | 0 | 0 | 1 | 0 | 0 |
Deep Graphs | We propose an algorithm for deep learning on networks and graphs. It relies
on the notion that many graph algorithms, such as PageRank, Weisfeiler-Lehman,
or Message Passing can be expressed as iterative vertex updates. Unlike
previous methods which rely on the ingenuity of the designer, Deep Graphs are
adaptive to t... | 0 | 0 | 0 | 1 | 0 | 0 |
On the optimal investment-consumption and life insurance selection problem with an external stochastic factor | In this paper, we study a stochastic optimal control problem with stochastic
volatility. We prove the sufficient and necessary maximum principle for the
proposed problem. Then we apply the results to solve an investment, consumption
and life insurance problem with stochastic volatility, that is, we consider a
wage ea... | 0 | 0 | 0 | 0 | 0 | 1 |
An Introduction to Adjoints and Output Error Estimation in Computational Fluid Dynamics | In recent years, the use of adjoint vectors in Computational Fluid Dynamics
(CFD) has seen a dramatic rise. Their utility in numerous applications,
including design optimization, data assimilation, and mesh adaptation has
sparked the interest of both researchers and practitioners alike. In many of
these fields, the c... | 1 | 1 | 0 | 0 | 0 | 0 |
Incremental Sharpe and other performance ratios | We present a new methodology of computing incremental contribution for
performance ratios for portfolio like Sharpe, Treynor, Calmar or Sterling
ratios. Using Euler's homogeneous function theorem, we are able to decompose
these performance ratios as a linear combination of individual modified
performance ratios. This... | 0 | 0 | 0 | 0 | 0 | 1 |
Saliency Detection by Forward and Backward Cues in Deep-CNNs | As prior knowledge of objects or object features helps us make relations for
similar objects on attentional tasks, pre-trained deep convolutional neural
networks (CNNs) can be used to detect salient objects on images regardless of
the object class is in the network knowledge or not. In this paper, we propose
a top-do... | 1 | 0 | 0 | 0 | 0 | 0 |
Active sorting of orbital angular momentum states of light with cascaded tunable resonators | Light carrying orbital angular momentum (OAM) has been shown to be of use in
a disparate range of fields ranging from astronomy to optical trapping, and as
a promising new dimension for multiplexing signals in optical communications
and data storage. A challenge to many of these applications is a reliable and
dynamic... | 0 | 1 | 0 | 0 | 0 | 0 |
Factorization tests and algorithms arising from counting modular forms and automorphic representations | A theorem of Gekeler compares the number of non-isomorphic automorphic
representations associated with the space of cusp forms of weight $k$ on
$\Gamma_0(N)$ to a simpler function of $k$ and $N$, showing that the two are
equal whenever $N$ is squarefree. We prove the converse of this theorem (with
one small exception... | 0 | 0 | 1 | 0 | 0 | 0 |
ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems | Model-free policy learning has enabled robust performance of complex tasks
with relatively simple algorithms. However, this simplicity comes at the cost
of requiring an Oracle and arguably very poor sample complexity. This renders
such methods unsuitable for physical systems. Variants of model-based methods
address t... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning the Kernel for Classification and Regression | We investigate a series of learning kernel problems with polynomial
combinations of base kernels, which will help us solve regression and
classification problems. We also perform some numerical experiments of
polynomial kernels with regression and classification tasks on different
datasets.
| 1 | 0 | 0 | 0 | 0 | 0 |
Critical system involving fractional Laplacian | In this paper, we study the following critical system with fractional
Laplacian: \begin{equation*} \begin{cases}
(-\Delta)^{s}u=
\mu_{1}|u|^{2^{\ast}-2}u+\frac{\alpha\gamma}{2^{\ast}}|u|^{\alpha-2}u|v|^{\beta}
\ \ \ \text{in} \ \ \mathbb{R}^{n},
(-\Delta)^{s}v=
\mu_{2}|v|^{2^{\ast}-2}v+\frac{\beta\gamma}{2^{\ast}}|u|... | 0 | 0 | 1 | 0 | 0 | 0 |
Skin Lesion Classification Using Hybrid Deep Neural Networks | Skin cancer is one of the major types of cancers and its incidence has been
increasing over the past decades. Skin lesions can arise from various
dermatologic disorders and can be classified to various types according to
their texture, structure, color and other morphological features. The accuracy
of diagnosis of sk... | 1 | 0 | 0 | 0 | 0 | 0 |
Nice derivations over principal ideal domains | In this paper we investigate to what extent the results of Z. Wang and D.
Daigle on nice derivations of the polynomial ring in three variables over a
field k of characteristic zero extend to the polynomial ring over a PID R,
containing the field of rational numbers. One of our results shows that the
kernel of a nice ... | 0 | 0 | 1 | 0 | 0 | 0 |
Cooperative Estimation via Altruism | A novel approach, based on the notion of altruism, is presented to
cooperative estimation in a system comprising two information-sharing
estimators. The underlying assumption is that the system's global mission can
be accomplished even if only one of the estimators achieves satisfactory
performance. The notion of alt... | 1 | 0 | 1 | 0 | 0 | 0 |
Multi-GPU maximum entropy image synthesis for radio astronomy | The maximum entropy method (MEM) is a well known deconvolution technique in
radio-interferometry. This method solves a non-linear optimization problem with
an entropy regularization term. Other heuristics such as CLEAN are faster but
highly user dependent. Nevertheless, MEM has the following advantages: it is
unsuper... | 1 | 1 | 0 | 0 | 0 | 0 |
Green function for linearized Navier-Stokes around a boundary layer profile: away from critical layers | In this paper, we construct the Green function for the classical
Orr-Sommerfeld equations, which are the linearized Navier-Stokes equations
around a boundary layer profile. As an immediate application, we derive uniform
sharp bounds on the semigroup of the linearized Navier-Stokes problem around
unstable profiles in ... | 0 | 0 | 1 | 0 | 0 | 0 |
SETI in vivo: testing the we-are-them hypothesis | After it was proposed that life on Earth might descend from seeding by an
earlier civilization, some authors noted that this alternative offers a
testable aspect: the seeds could be supplied with a signature that might be
found in extant organisms. In particular, it was suggested that the optimal
location for such an... | 0 | 1 | 0 | 0 | 0 | 0 |
Explicit Time Integration of Transient Eddy Current Problems | For time integration of transient eddy current problems commonly implicit
time integration methods are used, where in every time step one or several
nonlinear systems of equations have to be linearized with the Newton-Raphson
method due to ferromagnetic materials involved. In this paper, a generalized
Schur-complemen... | 1 | 1 | 1 | 0 | 0 | 0 |
Transversality for local Morse homology with symmetries and applications | We prove the transversality result necessary for defining local Morse chain
complexes with finite cyclic group symmetry. Our arguments use special
regularized distance functions constructed using classical covering lemmas, and
an inductive perturbation process indexed by the strata of the isotropy set. A
global exist... | 0 | 0 | 1 | 0 | 0 | 0 |
On the maximum principle for the Riesz transform | Let $\mu$ be a measure in $\mathbb R^d$ with compact support and continuous
density, and let $$ R^s\mu(x)=\int\frac{y-x}{|y-x|^{s+1}}\,d\mu(y),\ \
x,y\in\mathbb R^d,\ \ 0<s<d. $$ We consider the following conjecture: $$
\sup_{x\in\mathbb R^d}|R^s\mu(x)|\le
C\sup_{x\in\text{supp}\,\mu}|R^s\mu(x)|,\quad C=C(d,s). $$ Th... | 0 | 0 | 1 | 0 | 0 | 0 |
The complex case of Schmidt's going-down Theorem | In 1967, Schmidt wrote a seminal paper [10] on heights of subspaces of R n or
C n defined over a number field K, and diophantine approximation problems. The
going-down Theorem -- one of the main theorems he proved in his paper --
remains valid in two cases depending on whether the embedding of K in the
complex field ... | 0 | 0 | 1 | 0 | 0 | 0 |
Optimal rates of estimation for multi-reference alignment | In this paper, we establish optimal rates of adaptive estimation of a vector
in the multi-reference alignment model, a problem with important applications
in fields such as signal processing, image processing, and computer vision,
among others. We describe how this model can be viewed as a multivariate
Gaussian mixtu... | 0 | 0 | 1 | 1 | 0 | 0 |
Distribution System Voltage Control under Uncertainties using Tractable Chance Constraints | Voltage control plays an important role in the operation of electricity
distribution networks, especially with high penetration of distributed energy
resources. These resources introduce significant and fast varying
uncertainties. In this paper, we focus on reactive power compensation to
control voltage in the presen... | 1 | 0 | 1 | 1 | 0 | 0 |
Overcomplete Frame Thresholding for Acoustic Scene Analysis | In this work, we derive a generic overcomplete frame thresholding scheme
based on risk minimization. Overcomplete frames being favored for analysis
tasks such as classification, regression or anomaly detection, we provide a way
to leverage those optimal representations in real-world applications through
the use of th... | 1 | 0 | 0 | 1 | 0 | 0 |
A Hybrid Approach for Trajectory Control Design | This work presents a methodology to design trajectory tracking feedback
control laws, which embed non-parametric statistical models, such as Gaussian
Processes (GPs). The aim is to minimize unmodeled dynamics such as undesired
slippages. The proposed approach has the benefit of avoiding complex
terramechanics analysi... | 1 | 0 | 0 | 0 | 0 | 0 |
Achieving and Managing Availability SLAs with ITIL Driven Processes, DevOps, and Workflow Tools | System and application availability continues to be a fundamental
characteristic of IT services. In recent years the IT Operations team at
Wolters Kluwer CT Corporation has placed special focus on this area. Using a
combination of goals, metrics, processes, organizational models, communication
methods, corrective mai... | 1 | 0 | 0 | 0 | 0 | 0 |
Foresight: Rapid Data Exploration Through Guideposts | Current tools for exploratory data analysis (EDA) require users to manually
select data attributes, statistical computations and visual encodings. This can
be daunting for large-scale, complex data. We introduce Foresight, a
visualization recommender system that helps the user rapidly explore large
high-dimensional d... | 1 | 0 | 0 | 0 | 0 | 0 |
Transport by Lagrangian Vortices in the Eastern Pacific | Rotationally coherent Lagrangian vortices (RCLVs) are identified from
satellite-derived surface geostrophic velocities in the Eastern Pacific
(180$^\circ$-130$^\circ$ W) using the objective (frame-invariant) finite-time
Lagrangian-coherent-structure detection method of Haller et al. (2016) based on
the Lagrangian-ave... | 0 | 1 | 0 | 0 | 0 | 0 |
Online Adaptive Methods, Universality and Acceleration | We present a novel method for convex unconstrained optimization that, without
any modifications, ensures: (i) accelerated convergence rate for smooth
objectives, (ii) standard convergence rate in the general (non-smooth) setting,
and (iii) standard convergence rate in the stochastic optimization setting. To
the best ... | 0 | 0 | 0 | 1 | 0 | 0 |
A Note on a Quantitative Form of the Solovay-Kitaev Theorem | The problem of finding good approximations of arbitrary 1-qubit gates is
identical to that of finding a dense group generated by a universal subset of
$SU(2)$ to approximate an arbitrary element of $SU(2)$. The Solovay-Kitaev
Theorem is a well-known theorem that guarantees the existence of a finite
sequence of 1-qubi... | 0 | 0 | 1 | 0 | 0 | 0 |
Learning Steerable Filters for Rotation Equivariant CNNs | In many machine learning tasks it is desirable that a model's prediction
transforms in an equivariant way under transformations of its input.
Convolutional neural networks (CNNs) implement translational equivariance by
construction; for other transformations, however, they are compelled to learn
the proper mapping. I... | 1 | 0 | 0 | 0 | 0 | 0 |
Stochastic Multi-armed Bandits in Constant Space | We consider the stochastic bandit problem in the sublinear space setting,
where one cannot record the win-loss record for all $K$ arms. We give an
algorithm using $O(1)$ words of space with regret \[
\sum_{i=1}^{K}\frac{1}{\Delta_i}\log \frac{\Delta_i}{\Delta}\log T \] where
$\Delta_i$ is the gap between the best arm... | 1 | 0 | 0 | 1 | 0 | 0 |
Max K-armed bandit: On the ExtremeHunter algorithm and beyond | This paper is devoted to the study of the max K-armed bandit problem, which
consists in sequentially allocating resources in order to detect extreme
values. Our contribution is twofold. We first significantly refine the analysis
of the ExtremeHunter algorithm carried out in Carpentier and Valko (2014), and
next propo... | 1 | 0 | 0 | 1 | 0 | 0 |
Comparing Different Models for Investigating Cascading Failures in Power Systems | This paper centers on the comparison of three different models that describe
cascading failures of power systems. Specifically, these models are different
in characterizing the physical properties of power networks and computing the
branch power flow. Optimal control approach is applied on these models to
identify th... | 0 | 0 | 1 | 0 | 0 | 0 |
Initial-boundary value problems in a rectangle for two-dimensional Zakharov-Kuznetsov equation | Initial-boundary value problems in a bounded rectangle with different types
of boundary conditions for two-dimensional Zakharov-Kuznetsov equation are
considered. Results on global well-posedness in the classes of weak and regular
solution are established. As applications of the developed technique results on
boundar... | 0 | 0 | 1 | 0 | 0 | 0 |
Two-dimensional Fermi gases near a p-wave resonance: effect of quantum fluctuations | We study the stability of p-wave superfluidity against quantum fluctuations
in two-dimensional Fermi gases near a p-wave Feshbach resonance . An analysis
is carried out in the limit when the interchannel coupling is strong. By
investigating the effective potential for the pairing field via the standard
loop expansion... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal Strong Rates of Convergence for a Space-Time Discretization of the Stochastic Allen-Cahn Equation with multiplicative noise | The stochastic Allen-Cahn equation with multiplicative noise involves the
nonlinear drift operator ${\mathscr A}(x) = \Delta x - \bigl(\vert x\vert^2
-1\bigr)x$. We use the fact that ${\mathscr A}(x) = -{\mathcal J}^{\prime}(x)$
satisfies a weak monotonicity property to deduce uniform bounds in strong norms
for solut... | 0 | 0 | 1 | 0 | 0 | 0 |
A generalized quantum Slepian-Wolf | In this work we consider a quantum generalization of the task considered by
Slepian and Wolf [1973] regarding distributed source compression. In our task
Alice, Bob, Charlie and Reference share a joint pure state. Alice and Bob wish
to send a part of their respective systems to Charlie without collaborating
with each... | 1 | 0 | 0 | 0 | 0 | 0 |
The rational SPDE approach for Gaussian random fields with general smoothness | A popular approach for modeling and inference in spatial statistics is to
represent Gaussian random fields as solutions to stochastic partial
differential equations (SPDEs) of the form $L^{\beta}u = \mathcal{W}$, where
$\mathcal{W}$ is Gaussian white noise, $L$ is a second-order differential
operator, and $\beta>0$ i... | 0 | 0 | 0 | 1 | 0 | 0 |
An Analog of the Neumann Problem for the $1$-Laplace Equation in the Metric Setting: Existence, Boundary Regularity, and Stability | We study an inhomogeneous Neumann boundary value problem for functions of
least gradient on bounded domains in metric spaces that are equipped with a
doubling measure and support a Poincaré inequality. We show that solutions
exist under certain regularity assumptions on the domain, but are generally
nonunique. We als... | 0 | 0 | 1 | 0 | 0 | 0 |
Activating spin-forbidden transitions in molecules by the highly localized plasmonic field | Optical spectroscopy has been the primary tool to study the electronic
structure of molecules. However the strict spin selection rule has severely
limited its ability to access states of different spin multiplicities. Here we
propose a new strategy to activate spin-forbidden transitions in molecules by
introducing sp... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Essential Spectrum of Schrödinger Operators on Trees | It is known that the essential spectrum of a Schrödinger operator $H$ on
$\ell^{2}\left(\mathbb{N}\right)$ is equal to the union of the spectra of right
limits of $H$. The natural generalization of this relation to $\mathbb{Z}^{n}$
is known to hold as well. In this paper we generalize the notion of right
limits to ge... | 0 | 0 | 1 | 0 | 0 | 0 |
The equilibrium of over-pressurised polytropes | We investigate the impact of an external pressure on the structure of
self-gravitating polytropes for axially symmetric ellipsoids and rings. The
confinement of the fluid by photons is accounted for through a boundary
condition on the enthalpy $H$. Equilibrium configurations are determined
numerically from a generali... | 0 | 1 | 0 | 0 | 0 | 0 |
Charge and pairing dynamics in the attractive Hubbard model: mode coupling and the validity of linear-response theory | Pump-probe experiments have turned out as a powerful tool in order to study
the dynamics of competing orders in a large variety of materials. The
corresponding analysis of the data often relies on standard linear-response
theory generalized to non-equilibrium situations. Here we examine the validity
of such an approa... | 0 | 1 | 0 | 0 | 0 | 0 |
From voids to filaments: environmental transformations of galaxies in the SDSS | We investigate the impact of filament and void environments on galaxies,
looking for residual effects beyond the known relations with environment
density. We quantified the host environment of galaxies as the distance to the
spine of the nearest filament, and compared various galaxy properties within 12
bins of this ... | 0 | 1 | 0 | 0 | 0 | 0 |
Distributed Algorithms Made Secure: A Graph Theoretic Approach | In the area of distributed graph algorithms a number of network's entities
with local views solve some computational task by exchanging messages with
their neighbors. Quite unfortunately, an inherent property of most existing
distributed algorithms is that throughout the course of their execution, the
nodes get to le... | 1 | 0 | 0 | 0 | 0 | 0 |
Interpretation of Neural Networks is Fragile | In order for machine learning to be deployed and trusted in many
applications, it is crucial to be able to reliably explain why the machine
learning algorithm makes certain predictions. For example, if an algorithm
classifies a given pathology image to be a malignant tumor, then the doctor may
need to know which part... | 1 | 0 | 0 | 1 | 0 | 0 |
Dipolar phonons and electronic screening in monolayer FeSe on SrTiO$_3$ | Monolayer films of FeSe grown on SrTiO$_3$ substrates exhibit significantly
higher superconducting transition temperatures than those of bulk FeSe.
Interaction of electrons in the FeSe layer with dipolar SrTiO$_3$ phonons has
been suggested as the cause of the enhanced transition temperature. In this
paper we systema... | 0 | 1 | 0 | 0 | 0 | 0 |
A Supervised Approach to Extractive Summarisation of Scientific Papers | Automatic summarisation is a popular approach to reduce a document to its
main arguments. Recent research in the area has focused on neural approaches to
summarisation, which can be very data-hungry. However, few large datasets exist
and none for the traditionally popular domain of scientific publications, which
open... | 1 | 0 | 0 | 1 | 0 | 0 |
Channel Feedback Based on AoD-Adaptive Subspace Codebook in FDD Massive MIMO Systems | Channel feedback is essential in frequency division duplexing (FDD) massive
multiple-input multiple-output (MIMO) systems. Unfortunately, previous work on
multiuser MIMO has shown that the codebook size for channel feedback should
scale exponentially with the number of base station (BS) antennas, which is
greatly inc... | 1 | 0 | 0 | 0 | 0 | 0 |
Thermalization in simple metals: The role of electron-phonon and phonon-phonon scatterings | We study the electron and phonon thermalization in simple metals excited by a
laser pulse. The thermalization is investigated numerically by solving the
Boltzmann transport equation taking into account all the relevant scattering
mechanism: the electron-electron, electron-phonon (e-ph), phonon-electron
(ph-e), and ph... | 0 | 1 | 0 | 0 | 0 | 0 |
Convergence of the free Boltzmann quadrangulation with simple boundary to the Brownian disk | We prove that the free Boltzmann quadrangulation with simple boundary and
fixed perimeter, equipped with its graph metric, natural area measure, and the
path which traces its boundary converges in the scaling limit to the free
Boltzmann Brownian disk. The topology of convergence is the so-called
Gromov-Hausdorff-Prok... | 0 | 0 | 1 | 0 | 0 | 0 |
Canonical quantization of nonlinear sigma models with theta term, with applications to symmetry-protected topological phases | We canonically quantize $O(D+2)$ nonlinear sigma models (NLSMs) with theta
term on arbitrary smooth, closed, connected, oriented $D$-dimensional spatial
manifolds $\mathcal{M}$, with the goal of proving the suitability of these
models for describing symmetry-protected topological (SPT) phases of bosons in
$D$ spatial... | 0 | 1 | 0 | 0 | 0 | 0 |
A Nonparametric Bayesian Approach to Copula Estimation | We propose a novel Dirichlet-based Pólya tree (D-P tree) prior on the
copula and based on the D-P tree prior, a nonparametric Bayesian inference
procedure. Through theoretical analysis and simulations, we are able to show
that the flexibility of the D-P tree prior ensures its consistency in copula
estimation, thus ab... | 0 | 0 | 0 | 1 | 0 | 0 |
Model Predictive Control for Autonomous Driving Based on Time Scaled Collision Cone | In this paper, we present a Model Predictive Control (MPC) framework based on
path velocity decomposition paradigm for autonomous driving. The optimization
underlying the MPC has a two layer structure wherein first, an appropriate path
is computed for the vehicle followed by the computation of optimal forward
velocit... | 1 | 0 | 0 | 0 | 0 | 0 |
A Grouping Genetic Algorithm for Joint Stratification and Sample Allocation Designs | Predicting the cheapest sample size for the optimal stratification in
multivariate survey design is a problem in cases where the population frame is
large. A solution exists that iteratively searches for the minimum sample size
necessary to meet accuracy constraints in partitions of atomic strata created
by the Carte... | 0 | 0 | 0 | 1 | 0 | 0 |
Murmur Detection Using Parallel Recurrent & Convolutional Neural Networks | In this article, we propose a novel technique for classification of the
Murmurs in heart sound. We introduce a novel deep neural network architecture
using parallel combination of the Recurrent Neural Network (RNN) based
Bidirectional Long Short-Term Memory (BiLSTM) & Convolutional Neural Network
(CNN) to learn visua... | 1 | 0 | 0 | 1 | 0 | 0 |
Time-of-Flight Electron Energy Loss Spectroscopy by Longitudinal Phase Space Manipulation with Microwave Cavities | The possibility to perform high-resolution time-resolved electron energy loss
spectroscopy has the potential to impact a broad range of research fields.
Resolving small energy losses with ultrashort electron pulses, however, is an
enormous challenge due to the low average brightness of a pulsed beam. In this
letter, ... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning across scales - A multiscale method for Convolution Neural Networks | In this work we establish the relation between optimal control and training
deep Convolution Neural Networks (CNNs). We show that the forward propagation
in CNNs can be interpreted as a time-dependent nonlinear differential equation
and learning as controlling the parameters of the differential equation such
that the... | 1 | 0 | 0 | 0 | 0 | 0 |
Capacitated Covering Problems in Geometric Spaces | In this article, we consider the following capacitated covering problem. We
are given a set $P$ of $n$ points and a set $\mathcal{B}$ of balls from some
metric space, and a positive integer $U$ that represents the capacity of each
of the balls in $\mathcal{B}$. We would like to compute a subset $\mathcal{B}'
\subsete... | 1 | 0 | 0 | 0 | 0 | 0 |
Irregular Oscillatory-Patterns in the Early-Time Region of Coherent Phonon Generation in Silicon | Coherent phonon (CP) generation in an undoped Si crystal is theoretically
investigated to shed light on unexplored quantum-mechanical effects in the
early-time region immediately after the irradiation of ultrashort laser pulse.
One examines time signals attributed to an induced charge density of an ionic
core, placin... | 0 | 1 | 0 | 0 | 0 | 0 |
Energy-Efficient Hybrid Stochastic-Binary Neural Networks for Near-Sensor Computing | Recent advances in neural networks (NNs) exhibit unprecedented success at
transforming large, unstructured data streams into compact higher-level
semantic information for tasks such as handwriting recognition, image
classification, and speech recognition. Ideally, systems would employ
near-sensor computation to execu... | 1 | 0 | 0 | 0 | 0 | 0 |
Position-based coding and convex splitting for private communication over quantum channels | The classical-input quantum-output (cq) wiretap channel is a communication
model involving a classical sender $X$, a legitimate quantum receiver $B$, and
a quantum eavesdropper $E$. The goal of a private communication protocol that
uses such a channel is for the sender $X$ to transmit a message in such a way
that the... | 1 | 0 | 0 | 0 | 0 | 0 |
Geometric vulnerability of democratic institutions against lobbying: a sociophysics approach | An alternative voting scheme is proposed to fill the democratic gap between a
president elected democratically via universal suffrage (deterministic outcome,
the actual majority decides), and a president elected by one person randomly
selected from the population (probabilistic outcome depending on respective
support... | 0 | 1 | 0 | 0 | 0 | 0 |
Strongly correlated double Dirac fermions | Double Dirac fermions have recently been identified as possible
quasiparticles hosted by three-dimensional crystals with particular
non-symmorphic point group symmetries. Applying a combined approach of
ab-initio methods and dynamical mean field theory, we investigate how
interactions and double Dirac band topology c... | 0 | 1 | 0 | 0 | 0 | 0 |
A Phase Variable Approach for Improved Volitional and Rhythmic Control of a Powered Knee-Ankle Prosthesis | Although there has been recent progress in control of multi-joint prosthetic
legs for periodic tasks such as walking, volitional control of these systems
for non-periodic maneuvers is still an open problem. In this paper, we develop
a new controller that is capable of both periodic walking and common volitional
leg m... | 1 | 0 | 0 | 0 | 0 | 0 |
New estimates for the $n$th prime number | In this paper we establish a new explicit upper and lower bound for the
$n$-th prime number, which improve the currently best estimates given by Dusart
in 2010. As the main tool we use some recently obtained explicit estimates for
the prime counting function. A further main tool is the usage of estimates
concerning t... | 0 | 0 | 1 | 0 | 0 | 0 |
Unbiased Markov chain Monte Carlo for intractable target distributions | Performing numerical integration when the integrand itself cannot be
evaluated point-wise is a challenging task that arises in statistical analysis,
notably in Bayesian inference for models with intractable likelihood functions.
Markov chain Monte Carlo (MCMC) algorithms have been proposed for this setting,
such as t... | 0 | 0 | 0 | 1 | 0 | 0 |
An Observer for an Occluded Reaction-Diffusion System With Spatially Varying Parameters | Spatially dependent parameters of a two-component chaotic reaction-diffusion
PDE model describing ocean ecology are observed by sampling a single species.
We estimate model parameters and the other species in the system by
autosynchronization, where quantities of interest are evolved according to
misfit between model... | 0 | 0 | 1 | 0 | 0 | 0 |
D4M 3.0 | The D4M tool is used by hundreds of researchers to perform complex analytics
on unstructured data. Over the past few years, the D4M toolbox has evolved to
support connectivity with a variety of database engines, graph analytics in the
Apache Accumulo database, and an implementation using the Julia programming
languag... | 1 | 0 | 0 | 0 | 0 | 0 |
Human-in-the-Loop SLAM | Building large-scale, globally consistent maps is a challenging problem, made
more difficult in environments with limited access, sparse features, or when
using data collected by novice users. For such scenarios, where
state-of-the-art mapping algorithms produce globally inconsistent maps, we
introduce a systematic a... | 1 | 0 | 0 | 0 | 0 | 0 |
What drives gravitational instability in nearby star-forming spirals? The impact of CO and HI velocity dispersions | The velocity dispersion of cold interstellar gas, sigma, is one of the
quantities that most radically affect the onset of gravitational instabilities
in galaxy discs, and the quantity that is most drastically approximated in
stability analyses. Here we analyse the stability of a large sample of nearby
star-forming sp... | 0 | 1 | 0 | 0 | 0 | 0 |
An improved belief propagation algorithm for detecting meso-scale structure in complex networks | The framework of statistical inference has been successfully used to detect
the meso-scale structures in complex networks, such as community structure,
core-periphery (CP) structure. The main principle is that the stochastic block
model (SBM) is used to fit the observed network and the learnt parameters
indicate the ... | 1 | 0 | 0 | 0 | 0 | 0 |
On Least Squares Linear Regression Without Second Moment | If X and Y are real valued random variables such that the first moments of X,
Y, and XY exist and the conditional expectation of Y given X is an affine
function of X, then the intercept and slope of the conditional expectation
equal the intercept and slope of the least squares linear regression function,
even though ... | 0 | 0 | 1 | 1 | 0 | 0 |
Combinatorics of involutive divisions | The classical involutive division theory by Janet decomposes in the same way
both the ideal and the escalier. The aim of this paper, following Janet's
approach, is to discuss the combinatorial properties of involutive divisions,
when defined on the set of all terms in a fixed degree D, postponing the
discussion of id... | 0 | 0 | 1 | 0 | 0 | 0 |
Reducing asynchrony to synchronized rounds | Synchronous computation models simplify the design and the verification of
fault-tolerant distributed systems. For efficiency reasons such systems are
designed and implemented using an asynchronous semantics. In this paper, we
bridge the gap between these two worlds. We introduce a (synchronous)
round-based computati... | 1 | 0 | 0 | 0 | 0 | 0 |
A wearable general-purpose solution for Human-Swarm Interaction | Swarms of robots will revolutionize many industrial applications, from
targeted material delivery to precision farming. Controlling the motion and
behavior of these swarms presents unique challenges for human operators, who
cannot yet effectively convey their high-level intentions to a group of robots
in application.... | 1 | 0 | 0 | 0 | 0 | 0 |
Numerical simulation of oxidation processes in a cross-flow around tube bundles | An oxidation process is simulated for a bundle of metal tubes in a
cross-flow. A fluid flow is governed by the incompressible Navier-Stokes
equations. To describe the transport of oxygen, the corresponding
convection-diffusion equation is applied. The key point of the model is related
to the description of oxidation ... | 1 | 1 | 0 | 0 | 0 | 0 |
Design and optimization of a portable LQCD Monte Carlo code using OpenACC | The present panorama of HPC architectures is extremely heterogeneous, ranging
from traditional multi-core CPU processors, supporting a wide class of
applications but delivering moderate computing performance, to many-core GPUs,
exploiting aggressive data-parallelism and delivering higher performances for
streaming co... | 0 | 1 | 0 | 0 | 0 | 0 |
NodeTrix Planarity Testing with Small Clusters | We study the NodeTrix planarity testing problem for flat clustered graphs
when the maximum size of each cluster is bounded by a constant $k$. We consider
both the case when the sides of the matrices to which the edges are incident
are fixed and the case when they can be arbitrarily chosen. We show that
NodeTrix plana... | 1 | 0 | 0 | 0 | 0 | 0 |
Exact results for directed random networks that grow by node duplication | We present exact analytical results for the degree distribution and for the
distribution of shortest path lengths (DSPL) in a directed network model that
grows by node duplication. Such models are useful in the study of the structure
and growth dynamics of gene regulatory and scientific citation networks.
Starting fr... | 1 | 0 | 0 | 0 | 0 | 0 |
Investigating the past history of EXors: the cases of V1118 Ori, V1143 Ori, and NY Ori | EXor objects are young variables that show episodic variations of brightness
commonly associated to enhanced accretion outbursts. With the aim of
investigating the long-term photometric behaviour of a few EXor sources, we
present here data from the archival plates of the Asiago Observatory, showing
the Orion field wh... | 0 | 1 | 0 | 0 | 0 | 0 |
Some estimates for $θ$-type Calderón-Zygmund operators and linear commutators on certain weighted amalgam spaces | In this paper, we first introduce some new kinds of weighted amalgam spaces.
Then we discuss the strong type and weak type estimates for a class of
Calderón--Zygmund type operators $T_\theta$ in these new weighted spaces.
Furthermore, the strong type estimate and endpoint estimate of linear
commutators $[b,T_{\theta}... | 0 | 0 | 1 | 0 | 0 | 0 |
A Cluster Elastic Net for Multivariate Regression | We propose a method for estimating coefficients in multivariate regression
when there is a clustering structure to the response variables. The proposed
method includes a fusion penalty, to shrink the difference in fitted values
from responses in the same cluster, and an L1 penalty for simultaneous variable
selection ... | 0 | 0 | 0 | 1 | 0 | 0 |
Achieving robust and high-fidelity quantum control via spectral phase optimization | Achieving high-fidelity control of quantum systems is of fundamental
importance in physics, chemistry and quantum information sciences. However, the
successful implementation of a high-fidelity quantum control scheme also
requires robustness against control field fluctuations. Here, we demonstrate a
robust optimizati... | 0 | 1 | 0 | 0 | 0 | 0 |
Help Me Find a Job: A Graph-based Approach for Job Recommendation at Scale | Online job boards are one of the central components of modern recruitment
industry. With millions of candidates browsing through job postings everyday,
the need for accurate, effective, meaningful, and transparent job
recommendations is apparent more than ever. While recommendation systems are
successfully advancing ... | 1 | 0 | 0 | 0 | 0 | 0 |
Bundle Optimization for Multi-aspect Embedding | Understanding semantic similarity among images is the core of a wide range of
computer vision applications. An important step towards this goal is to collect
and learn human perceptions. Interestingly, the semantic context of images is
often ambiguous as images can be perceived with emphasis on different aspects,
whi... | 1 | 0 | 0 | 0 | 0 | 0 |
Glitch Classification and Clustering for LIGO with Deep Transfer Learning | The detection of gravitational waves with LIGO and Virgo requires a detailed
understanding of the response of these instruments in the presence of
environmental and instrumental noise. Of particular interest is the study of
anomalous non-Gaussian noise transients known as glitches, since their high
occurrence rate in... | 1 | 1 | 0 | 1 | 0 | 0 |
Provable Smoothness Guarantees for Black-Box Variational Inference | Black-box variational inference tries to approximate a complex target
distribution though a gradient-based optimization of the parameters of a
simpler distribution. Provable convergence guarantees require structural
properties of the objective. This paper shows that for location-scale family
approximations, if the ta... | 1 | 0 | 0 | 1 | 0 | 0 |
A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data | This paper proposes a clustering procedure for samples of multivariate
functions in $(L^2(I))^{J}$, with $J\geq1$. This method is based on a k-means
algorithm in which the distance between the curves is measured with a metrics
that generalizes the Mahalanobis distance in Hilbert spaces, considering the
correlation an... | 0 | 0 | 0 | 1 | 0 | 0 |
Tidal Dissipation in WASP-12 | WASP-12 is a hot Jupiter system with an orbital period of $P= 1.1\textrm{
day}$, making it one of the shortest-period giant planets known. Recent transit
timing observations by Maciejewski et al. (2016) and Patra et al. (2017) find a
decreasing period with $P/|\dot{P}| = 3.2\textrm{ Myr}$. This has been
interpreted a... | 0 | 1 | 0 | 0 | 0 | 0 |
Label Sanitization against Label Flipping Poisoning Attacks | Many machine learning systems rely on data collected in the wild from
untrusted sources, exposing the learning algorithms to data poisoning.
Attackers can inject malicious data in the training dataset to subvert the
learning process, compromising the performance of the algorithm producing
errors in a targeted or an i... | 0 | 0 | 0 | 1 | 0 | 0 |
DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction | Chemical-chemical interaction (CCI) plays a key role in predicting candidate
drugs, toxicity, therapeutic effects, and biological functions. In various
types of chemical analyses, computational approaches are often required due to
the amount of data that needs to be handled. The recent remarkable growth and
outstandi... | 1 | 0 | 0 | 0 | 0 | 0 |
Intervals between numbers that are sums of two squares | In this paper, we improve the moment estimates for the gaps between numbers
that can be represented as a sum of two squares of integers. We consider
certain sum of Bessel functions and prove the upper bound for its weighted mean
value. This bound provides estimates for the $\gamma$-th moments of gaps for
all $\gamma\... | 0 | 0 | 1 | 0 | 0 | 0 |
On a family of Caldero-Chapoton algebras that have the Laurent phenomenon | We realize a family of generalized cluster algebras as Caldero-Chapoton
algebras of quivers with relations. Each member of this family arises from an
unpunctured polygon with one orbifold point of order 3, and is realized as a
Caldero-Chapoton algebra of a quiver with relations naturally associated to any
triangulati... | 0 | 0 | 1 | 0 | 0 | 0 |
Ricean K-factor Estimation based on Channel Quality Indicator in OFDM Systems using Neural Network | Ricean channel model is widely used in wireless communications to
characterize the channels with a line-of-sight path. The Ricean K factor,
defined as the ratio of direct path and scattered paths, provides a good
indication of the link quality. Most existing works estimate K factor based on
either maximum-likelihood ... | 0 | 0 | 0 | 1 | 0 | 0 |
Augmented lagrangian two-stage algorithm for LP and SCQP | In this paper, we consider a framework of projected gradient iterations for
linear programming (LP) and an augmented lagrangian two-stage algorithm for
strongly convex quadratic programming (SCQP). Based on the framework of
projected gradient, LP problem is transformed to a finite number of SCQP
problems. Furthermore... | 0 | 0 | 1 | 0 | 0 | 0 |
Exact relations between homoclinic and periodic orbit actions in chaotic systems | Homoclinic and unstable periodic orbits in chaotic systems play central roles
in various semiclassical sum rules. The interferences between terms are
governed by the action functions and Maslov indices. In this article, we
identify geometric relations between homoclinic and unstable periodic orbits,
and derive exact ... | 0 | 1 | 0 | 0 | 0 | 0 |
Subexponentially growing Hilbert space and nonconcentrating distributions in a constrained spin model | Motivated by recent experiments with two-component Bose-Einstein condensates,
we study fully-connected spin models subject to an additional constraint. The
constraint is responsible for the Hilbert space dimension to scale only
linearly with the system size. We discuss the unconventional statistical
physical and ther... | 0 | 1 | 0 | 0 | 0 | 0 |
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