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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Torsion of elliptic curves and unlikely intersections | We study effective versions of unlikely intersections of images of torsion
points of elliptic curves on the projective line.
| 0 | 0 | 1 | 0 | 0 | 0 |
BoostJet: Towards Combining Statistical Aggregates with Neural Embeddings for Recommendations | Recommenders have become widely popular in recent years because of their
broader applicability in many e-commerce applications. These applications rely
on recommenders for generating advertisements for various offers or providing
content recommendations. However, the quality of the generated recommendations
depends o... | 1 | 0 | 0 | 1 | 0 | 0 |
Fixed points of diffeomorphisms on nilmanifolds with a free nilpotent fundamental group | Let $M$ be a nilmanifold with a fundamental group which is free $2$-step
nilpotent on at least 4 generators. We will show that for any nonnegative
integer $n$ there exists a self-diffeomorphism $h_n$ of $M$ such that $h_n$ has
exactly $n$ fixed points and any self-map $f$ of $M$ which is homotopic to
$h_n$ has at lea... | 0 | 0 | 1 | 0 | 0 | 0 |
Offloading Execution from Edge to Cloud: a Dynamic Node-RED Based Approach | Fog computing enables use cases where data produced in end devices are
stored, processed, and acted on directly at the edges of the network, yet
computation can be offloaded to more powerful instances through the edge to
cloud continuum. Such offloading mechanism is especially needed in case of
modern multi-purpose I... | 1 | 0 | 0 | 0 | 0 | 0 |
A nested sampling code for targeted searches for continuous gravitational waves from pulsars | This document describes a code to perform parameter estimation and model
selection in targeted searches for continuous gravitational waves from known
pulsars using data from ground-based gravitational wave detectors. We describe
the general workings of the code and characterise it on simulated data
containing both no... | 0 | 1 | 0 | 0 | 0 | 0 |
Using Big Data to Enhance the Bosch Production Line Performance: A Kaggle Challenge | This paper describes our approach to the Bosch production line performance
challenge run by Kaggle.com. Maximizing the production yield is at the heart of
the manufacturing industry. At the Bosch assembly line, data is recorded for
products as they progress through each stage. Data science methods are applied
to this... | 1 | 0 | 0 | 0 | 0 | 0 |
Golden Elliptical Orbits in Newtonian Gravitation | In spherical symmetry with radial coordinate $r$, classical Newtonian
gravitation supports circular orbits and, for $-1/r$ and $r^2$ potentials only,
closed elliptical orbits [1]. Various families of elliptical orbits can be
thought of as arising from the action of perturbations on corresponding
circular orbits. We s... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning Sparse Adversarial Dictionaries For Multi-Class Audio Classification | Audio events are quite often overlapping in nature, and more prone to noise
than visual signals. There has been increasing evidence for the superior
performance of representations learned using sparse dictionaries for
applications like audio denoising and speech enhancement. This paper
concentrates on modifying the t... | 1 | 0 | 0 | 0 | 0 | 0 |
Matter-wave solutions in the Bose-Einstein condensates with the harmonic and Gaussian potentials | We study exact solutions of the quasi-one-dimensional Gross-Pitaevskii (GP)
equation with the (space, time)-modulated potential and nonlinearity and the
time-dependent gain or loss term in Bose-Einstein condensates. In particular,
based on the similarity transformation, we report several families of exact
solutions o... | 0 | 1 | 1 | 0 | 0 | 0 |
Histogram Transform-based Speaker Identification | A novel text-independent speaker identification (SI) method is proposed. This
method uses the Mel-frequency Cepstral coefficients (MFCCs) and the dynamic
information among adjacent frames as feature sets to capture speaker's
characteristics. In order to utilize dynamic information, we design super-MFCCs
features by c... | 1 | 0 | 0 | 1 | 0 | 0 |
Towards self-adaptable robots: from programming to training machines | We argue that hardware modularity plays a key role in the convergence of
Robotics and Artificial Intelligence (AI). We introduce a new approach for
building robots that leads to more adaptable and capable machines. We present
the concept of a self-adaptable robot that makes use of hardware modularity and
AI technique... | 1 | 0 | 0 | 0 | 0 | 0 |
Incidence Results and Bounds of Trilinear and Quadrilinear Exponential Sums | We give a new bound on the number of collinear triples for two arbitrary
subsets of a finite field. This improves on existing results which rely on the
Cauchy inequality. We then us this to provide a new bound on trilinear and
quadrilinear exponential sums.
| 0 | 0 | 1 | 0 | 0 | 0 |
Comment on "Kinetic decoupling of WIMPs: Analytic expressions" | Visinelli and Gondolo (2015, hereafter VG15) derived analytic expressions for
the evolution of the dark matter temperature in a generic cosmological model.
They then calculated the dark matter kinetic decoupling temperature
$T_{\mathrm{kd}}$ and compared their results to the Gelmini and Gondolo (2008,
hereafter GG08)... | 0 | 1 | 0 | 0 | 0 | 0 |
Dimension preserving resolutions of singularities of Poisson structures | Some Poisson structures do admit resolutions by symplectic manifolds of the
same dimension. We give examples and simple conditions under which such
resolutions can not exist.
| 0 | 0 | 1 | 0 | 0 | 0 |
Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images | There is an interest to replace computed tomography (CT) images with magnetic
resonance (MR) images for a number of diagnostic and therapeutic workflows. In
this article, predicting CT images from a number of magnetic resonance imaging
(MRI) sequences using regression approach is explored. Two principal areas of
appl... | 0 | 0 | 0 | 1 | 0 | 0 |
Spin-charge split pairing in underdoped cuprate superconductors: support from low-$T$ specific heat | We calculate the specific heat of a weakly interacting dilute system of
bosons on a lattice and show that it is consistent with the measured electronic
specific heat in the superconducting state of underdoped cuprates with boson
concentration $\rho \sim x/2$, where $x$ is the hole (dopant) concentration. As
usual, th... | 0 | 1 | 0 | 0 | 0 | 0 |
Iterative Amortized Inference | Inference models are a key component in scaling variational inference to deep
latent variable models, most notably as encoder networks in variational
auto-encoders (VAEs). By replacing conventional optimization-based inference
with a learned model, inference is amortized over data examples and therefore
more computat... | 0 | 0 | 0 | 1 | 0 | 0 |
Rethinking probabilistic prediction in the wake of the 2016 U.S. presidential election | To many statisticians and citizens, the outcome of the most recent U.S.
presidential election represents a failure of data-driven methods on the
grandest scale. This impression has led to much debate and discussion about how
the election predictions went awry -- Were the polls inaccurate? Were the
models wrong? Did w... | 0 | 0 | 1 | 1 | 0 | 0 |
$L^1$ solutions to one-dimensional BSDEs with sublinear growth generators in $z$ | This paper aims at solving a one-dimensional backward stochastic differential
equation (BSDE for short) with only integrable parameters. We first establish
the existence of a minimal $L^1$ solution for the BSDE when the generator $g$
is stronger continuous in $(y,z)$ and monotonic in $y$ as well as it has a
general g... | 0 | 0 | 1 | 0 | 0 | 0 |
Magnifying the early episodes of star formation: super star clusters at cosmological distances | We study the spectrophotometric properties of a highly magnified (\mu~40-70)
pair of stellar systems identified at z=3.2222 behind the Hubble Frontier Field
galaxy cluster MACS~J0416. Five multiple images (out of six) have been
spectroscopically confirmed by means of VLT/MUSE and VLT/X-Shooter
observations. Each imag... | 0 | 1 | 0 | 0 | 0 | 0 |
Ergodicity of a system of interacting random walks with asymmetric interaction | We study N interacting random walks on the positive integers. Each particle
has drift {\delta} towards infinity, a reflection at the origin, and a drift
towards particles with lower positions. This inhomogeneous mean field system is
shown to be ergodic only when the interaction is strong enough. We focus on
this latt... | 0 | 0 | 1 | 0 | 0 | 0 |
Extreme value statistics for censored data with heavy tails under competing risks | This paper addresses the problem of estimating, in the presence of random
censoring as well as competing risks, the extreme value index of the
(sub)-distribution function associated to one particular cause, in the
heavy-tail case. Asymptotic normality of the proposed estimator (which has the
form of an Aalen-Johansen... | 0 | 0 | 1 | 1 | 0 | 0 |
Response to "Counterexample to global convergence of DSOS and SDSOS hierarchies" | In a recent note [8], the author provides a counterexample to the global
convergence of what his work refers to as "the DSOS and SDSOS hierarchies" for
polynomial optimization problems (POPs) and purports that this refutes claims
in our extended abstract [4] and slides in [3]. The goal of this paper is to
clarify tha... | 1 | 0 | 0 | 1 | 0 | 0 |
Thermal memristor and neuromorphic networks for manipulating heat flow | A memristor is one of four fundamental two-terminal solid elements in
electronics. In addition with the resistor, the capacitor and the inductor,
this passive element relates the electric charges to current in solid state
elements. Here we report the existence of a thermal analog for this element
made with metal-insu... | 0 | 1 | 0 | 0 | 0 | 0 |
Asymptotic Distribution and Simultaneous Confidence Bands for Ratios of Quantile Functions | Ratio of medians or other suitable quantiles of two distributions is widely
used in medical research to compare treatment and control groups or in
economics to compare various economic variables when repeated cross-sectional
data are available. Inspired by the so-called growth incidence curves
introduced in poverty r... | 0 | 0 | 0 | 1 | 0 | 0 |
A Topological proof that $O_2$ is $2$-MCFL | We give a new proof of Salvati's theorem that the group language $O_2$ is $2$
multiple context free. Unlike Salvati's proof, our arguments do not use any
idea specific to two-dimensions. This raises the possibility that the argument
might generalize to $O_n$.
| 1 | 0 | 1 | 0 | 0 | 0 |
Projected Variational Integrators for Degenerate Lagrangian Systems | We propose and compare several projection methods applied to variational
integrators for degenerate Lagrangian systems, whose Lagrangian is of the form
$L = \vartheta(q) \cdot \dot{q} - H(q)$ and thus linear in velocities. While
previous methods for such systems only work reliably in the case of $\vartheta$
being a l... | 0 | 1 | 0 | 0 | 0 | 0 |
Boosted Generative Models | We propose a novel approach for using unsupervised boosting to create an
ensemble of generative models, where models are trained in sequence to correct
earlier mistakes. Our meta-algorithmic framework can leverage any existing base
learner that permits likelihood evaluation, including recent deep expressive
models. F... | 1 | 0 | 0 | 1 | 0 | 0 |
The Geometry of Strong Koszul Algebras | Koszul algebras with quadratic Groebner bases, called strong Koszul algebras,
are studied. We introduce affine algebraic varieties whose points are in
one-to-one correspondence with certain strong Koszul algebras and we
investigate the connection between the varieties and the algebras.
| 0 | 0 | 1 | 0 | 0 | 0 |
Overlapping community detection using superior seed set selection in social networks | Community discovery in the social network is one of the tremendously
expanding areas which earn interest among researchers for the past one decade.
There are many already existing algorithms. However, new seed-based algorithms
establish an emerging drift in this area. The basic idea behind these
strategies is to iden... | 1 | 0 | 0 | 0 | 0 | 0 |
Debugging Transactions and Tracking their Provenance with Reenactment | Debugging transactions and understanding their execution are of immense
importance for developing OLAP applications, to trace causes of errors in
production systems, and to audit the operations of a database. However,
debugging transactions is hard for several reasons: 1) after the execution of a
transaction, its inp... | 1 | 0 | 0 | 0 | 0 | 0 |
How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary | The LinkedIn Salary product was launched in late 2016 with the goal of
providing insights on compensation distribution to job seekers, so that they
can make more informed decisions when discovering and assessing career
opportunities. The compensation insights are provided based on data collected
from LinkedIn members... | 1 | 0 | 0 | 0 | 0 | 0 |
Fast quantum logic gates with trapped-ion qubits | Quantum bits based on individual trapped atomic ions constitute a promising
technology for building a quantum computer, with all the elementary operations
having been achieved with the necessary precision for some error-correction
schemes. However, the essential two-qubit logic gate used for generating
quantum entang... | 0 | 1 | 0 | 0 | 0 | 0 |
Generative Adversarial Network based Autoencoder: Application to fault detection problem for closed loop dynamical systems | Fault detection problem for closed loop uncertain dynamical systems, is
investigated in this paper, using different deep learning based methods.
Traditional classifier based method does not perform well, because of the
inherent difficulty of detecting system level faults for closed loop dynamical
system. Specifically... | 0 | 0 | 0 | 1 | 0 | 0 |
Non-Asymptotic Rates for Manifold, Tangent Space, and Curvature Estimation | Given an $n$-sample drawn on a submanifold $M \subset \mathbb{R}^D$, we
derive optimal rates for the estimation of tangent spaces $T\_X M$, the second
fundamental form $II\_X^M$, and the submanifold $M$.After motivating their
study, we introduce a quantitative class of $\mathcal{C}^k$-submanifolds in
analogy with H{ö... | 0 | 0 | 1 | 1 | 0 | 0 |
Learning to Optimize Neural Nets | Learning to Optimize is a recently proposed framework for learning
optimization algorithms using reinforcement learning. In this paper, we explore
learning an optimization algorithm for training shallow neural nets. Such
high-dimensional stochastic optimization problems present interesting
challenges for existing rei... | 1 | 0 | 1 | 1 | 0 | 0 |
A space-time finite element method for neural field equations with transmission delays | We present and analyze a new space-time finite element method for the
solution of neural field equations with transmission delays. The numerical
treatment of these systems is rare in the literature and currently has several
restrictions on the spatial domain and the functions involved, such as
connectivity and delay ... | 0 | 0 | 1 | 0 | 0 | 0 |
Notes on complexity of packing coloring | A packing $k$-coloring for some integer $k$ of a graph $G=(V,E)$ is a mapping
$\varphi:V\to\{1,\ldots,k\}$ such that any two vertices $u, v$ of color
$\varphi(u)=\varphi(v)$ are in distance at least $\varphi(u)+1$. This concept
is motivated by frequency assignment problems. The \emph{packing chromatic
number} of $G$ ... | 1 | 0 | 0 | 0 | 0 | 0 |
Predicting Positive and Negative Links with Noisy Queries: Theory & Practice | Social networks involve both positive and negative relationships, which can
be captured in signed graphs. The {\em edge sign prediction problem} aims to
predict whether an interaction between a pair of nodes will be positive or
negative. We provide theoretical results for this problem that motivate natural
improvemen... | 1 | 0 | 0 | 0 | 0 | 0 |
Simulating a Topological Transition in a Superconducting Phase Qubit by Fast Adiabatic Trajectories | The significance of topological phases has been widely recognized in the
community of condensed matter physics. The well controllable quantum systems
provide an artificial platform to probe and engineer various topological
phases. The adiabatic trajectory of a quantum state describes the change of the
bulk Bloch eige... | 0 | 1 | 0 | 0 | 0 | 0 |
Improved Absolute Frequency Measurement of the 171Yb Optical Lattice Clock at KRISS Relative to the SI Second | We measured the absolute frequency of the $^1S_0$ - $^3P_0$ transition of
$^{171}$Yb atoms confined in a one-dimensional optical lattice relative to the
SI second. The determined frequency was 518 295 836 590 863.38(57) Hz. The
uncertainty was reduced by a factor of 14 compared with our previously reported
value in 2... | 0 | 1 | 0 | 0 | 0 | 0 |
Theoretical properties of quasi-stationary Monte Carlo methods | This paper gives foundational results for the application of
quasi-stationarity to Monte Carlo inference problems. We prove natural
sufficient conditions for the quasi-limiting distribution of a killed diffusion
to coincide with a target density of interest. We also quantify the rate of
convergence to quasi-stationar... | 0 | 0 | 1 | 1 | 0 | 0 |
A Hilbert Space of Stationary Ergodic Processes | Identifying meaningful signal buried in noise is a problem of interest
arising in diverse scenarios of data-driven modeling. We present here a
theoretical framework for exploiting intrinsic geometry in data that resists
noise corruption, and might be identifiable under severe obfuscation. Our
approach is based on unc... | 0 | 0 | 0 | 1 | 0 | 1 |
Total variation regularized non-negative matrix factorization for smooth hyperspectral unmixing | Hyperspectral analysis has gained popularity over recent years as a way to
infer what materials are displayed on a picture whose pixels consist of a
mixture of spectral signatures. Computing both signatures and mixture
coefficients is known as unsupervised unmixing, a set of techniques usually
based on non-negative m... | 0 | 0 | 1 | 0 | 0 | 0 |
Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning | Antihydrogen is at the forefront of antimatter research at the CERN
Antiproton Decelerator. Experiments aiming to test the fundamental CPT symmetry
and antigravity effects require the efficient detection of antihydrogen
annihilation events, which is performed using highly granular tracking
detectors installed around ... | 1 | 1 | 0 | 0 | 0 | 0 |
Spin controlled atom-ion inelastic collisions | The control of the ultracold collisions between neutral atoms is an extensive
and successful field of study. The tools developed allow for ultracold chemical
reactions to be managed using magnetic fields, light fields and spin-state
manipulation of the colliding particles among other methods. The control of
chemical ... | 0 | 1 | 0 | 0 | 0 | 0 |
Nonparametric Cusum Charts for Angular Data with Applications in Health Science and Astrophysics | This paper develops non-parametric rotation invariant CUSUMs suited to the
detection of changes in the mean direction as well as changes in the
concentration parameter of angular data. The properties of the CUSUMs are
illustrated by theoretical calculations, Monte Carlo simulation and application
to sequentially obse... | 0 | 0 | 0 | 1 | 0 | 0 |
Origin of Weak Turbulence in the Outer Regions of Protoplanetary Disks | The mechanism behind angular momentum transport in protoplanetary disks, and
whether this transport is turbulent in nature, is a fundamental issue in planet
formation studies. Recent ALMA observations have suggested that turbulent
velocities in the outer regions of these disks are less than ~5-10% of the
sound speed,... | 0 | 1 | 0 | 0 | 0 | 0 |
Real-time Monocular Visual Odometry for Turbid and Dynamic Underwater Environments | In the context of robotic underwater operations, the visual degradations
induced by the medium properties make difficult the exclusive use of cameras
for localization purpose. Hence, most localization methods are based on
expensive navigational sensors associated with acoustic positioning. On the
other hand, visual o... | 1 | 0 | 0 | 0 | 0 | 0 |
Casper the Friendly Finality Gadget | We introduce Casper, a proof of stake-based finality system which overlays an
existing proof of work blockchain. Casper is a partial consensus mechanism
combining proof of stake algorithm research and Byzantine fault tolerant
consensus theory. We introduce our system, prove some desirable features, and
show defenses ... | 1 | 0 | 0 | 0 | 0 | 0 |
Rating Protocol Design for Extortion and Cooperation in the Crowdsourcing Contest Dilemma | Crowdsourcing has emerged as a paradigm for leveraging human intelligence and
activity to solve a wide range of tasks. However, strategic workers will find
enticement in their self-interest to free-ride and attack in a crowdsourcing
contest dilemma game. Hence, incentive mechanisms are of great importance to
overcome... | 1 | 0 | 0 | 0 | 0 | 0 |
Form factors of local operators in supersymmetric quantum integrable models | We apply the nested algebraic Bethe ansatz to the models with gl(2|1) and
gl}(1|2) supersymmetry. We show that form factors of local operators in these
models can be expressed in terms of the universal form factors. Our derivation
is based on the use of the RTT-algebra only. It does not refer to any specific
represen... | 0 | 0 | 1 | 0 | 0 | 0 |
On the $E$-polynomial of parabolic $\mathrm{Sp}_{2n}$-character varieties | We find the $E$-polynomials of a family of parabolic
$\mathrm{Sp}_{2n}$-character varieties $\mathcal{M}^{\xi}_{n}$ of Riemann
surfaces by constructing a stratification, proving that each stratum has
polynomial count, applying a result of Katz regarding the counting functions,
and finally adding up the resulting $E$-... | 0 | 0 | 1 | 0 | 0 | 0 |
Goldstone and Higgs Hydrodynamics in the BCS-BEC Crossover | We discuss the derivation of a low-energy effective field theory of phase
(Goldstone) and amplitude (Higgs) modes of the pairing field from a microscopic
theory of attractive fermions. The coupled equations for Goldstone and Higgs
fields are critically analyzed in the Bardeen-Cooper-Schrieffer (BCS) to
Bose-Einstein ... | 0 | 1 | 0 | 0 | 0 | 0 |
A note on knot concordance and involutive knot Floer homology | We prove that if two knots are concordant, their involutive knot Floer
complexes satisfy a certain type of stable equivalence.
| 0 | 0 | 1 | 0 | 0 | 0 |
$M$-QAM Precoder Design for MIMO Directional Modulation Transceivers | Spectrally efficient multi-antenna wireless communication systems are a key
challenge as service demands continue to increase. At the same time, powering
up radio access networks is facing environmental and regulation limitations. In
order to achieve more power efficiency, we design a directional modulation
precoder ... | 1 | 0 | 0 | 0 | 0 | 0 |
Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces | We study kernel least-squares estimation under a norm constraint. This form
of regularisation is known as Ivanov regularisation and it provides better
control of the norm of the estimator than the well-established Tikhonov
regularisation. This choice of regularisation allows us to dispose of the
standard assumption t... | 0 | 0 | 1 | 1 | 0 | 0 |
Using Ice and Dust Lines to Constrain the Surface Densities of Protoplanetary Disks | We present a novel method for determining the surface density of
protoplanetary disks through consideration of disk 'dust lines' which indicate
the observed disk radial scale at different observational wavelengths. This
method relies on the assumption that the processes of particle growth and drift
control the radial... | 0 | 1 | 0 | 0 | 0 | 0 |
Quaternionic Projective Bundle Theorem and Gysin Triangle in MW-Motivic Cohomology | In this paper, we show that the motive $HP^n$ of the quaternionic
Grassmannian (as defined by I. Panin and C. Walter) splits in the category of
effective MW-motives (as defined by B. Calmès, F. Déglise and J. Fasel).
Moreover, we extend this result to an arbitrary symplectic bundle, obtaining
the so-called quaternion... | 0 | 0 | 1 | 0 | 0 | 0 |
Green function for linearized Navier-Stokes around a boundary layer profile: near critical layers | This is a continuation and completion of the program (initiated in
\cite{GrN1,GrN2}) to derive pointwise estimates on the Green function and sharp
bounds on the semigroup of linearized Navier-Stokes around a generic stationary
boundary layer profile. This is done via a spectral analysis approach and a
careful study o... | 0 | 0 | 1 | 0 | 0 | 0 |
Summary of a Literature Review in Scalability of QoS-aware Service Composition | This paper shows that authors have no consistent way to characterize the
scalability of their solutions, and so consider only a limited number of
scaling characteristics. This review aimed at establishing the evidence that
the route for designing and evaluating the scalability of dynamic QoS-aware
service composition... | 1 | 0 | 0 | 0 | 0 | 0 |
Interacting superradiance samples: modified intensities and timescales, and frequency shifts | We consider the interaction between distinct superradiance (SR) systems and
use the dressed state formalism to solve the case of two interacting two-atom
SR samples at resonance. We show that the ensuing entanglement modifies the
transition rates and intensities of radiation, as well as introduces a
potentially measu... | 0 | 1 | 0 | 0 | 0 | 0 |
An optimal XP algorithm for Hamiltonian cycle on graphs of bounded clique-width | In this paper, we prove that, given a clique-width $k$-expression of an
$n$-vertex graph, \textsc{Hamiltonian Cycle} can be solved in time
$n^{\mathcal{O}(k)}$. This improves the naive algorithm that runs in time
$n^{\mathcal{O}(k^2)}$ by Espelage et al. (WG 2001), and it also matches with
the lower bound result by F... | 1 | 0 | 0 | 0 | 0 | 0 |
On the functional window of the avian compass | The functional window is an experimentally observed property of the avian
compass that refers to its selectivity around the geomagnetic field strength.
We show that the radical-pair model, using biologically feasible hyperfine
parameters, can qualitatively explain the salient features of the avian compass
as observed... | 0 | 1 | 0 | 0 | 0 | 0 |
Automated text summarisation and evidence-based medicine: A survey of two domains | The practice of evidence-based medicine (EBM) urges medical practitioners to
utilise the latest research evidence when making clinical decisions. Because of
the massive and growing volume of published research on various medical topics,
practitioners often find themselves overloaded with information. As such,
natural... | 1 | 0 | 0 | 0 | 0 | 0 |
Generalized Moran sets Generated by Step-wise Adjustable Iterated Function Systems | In this article we provide a systematic way of creating generalized Moran
sets using an analogous iterated function system (IFS) procedure. We use a
step-wise adjustable IFS to introduce some variance (such as
non-self-similarity) in the fractal limit sets. The process retains the
computational simplicity of a standa... | 0 | 1 | 1 | 0 | 0 | 0 |
On the lateral instability analysis of MEMS comb-drive electrostatic transducers | This paper investigates the lateral pull-in effect of an in-plane
overlap-varying transducer. The instability is induced by the translational and
rotational displacements. Based on the principle of virtual work, the
equilibrium conditions of force and moment in lateral directions are derived.
The analytical solutions... | 0 | 1 | 0 | 0 | 0 | 0 |
Isospectrality For Orbifold Lens Spaces | We answer Mark Kac's famous question, "can one hear the shape of a drum?" in
the positive for orbifolds that are 3-dimensional and 4-dimensional lens
spaces; we thus complete the answer to this question for orbifold lens spaces
in all dimensions. We also show that the coefficients of the asymptotic
expansion of the t... | 0 | 0 | 1 | 0 | 0 | 0 |
How Wrong Am I? - Studying Adversarial Examples and their Impact on Uncertainty in Gaussian Process Machine Learning Models | Machine learning models are vulnerable to Adversarial Examples: minor
perturbations to input samples intended to deliberately cause
misclassification. Current defenses against adversarial examples, especially
for Deep Neural Networks (DNN), are primarily derived from empirical
developments, and their security guarant... | 1 | 0 | 0 | 1 | 0 | 0 |
Energy Efficient Adaptive Network Coding Schemes for Satellite Communications | In this paper, we propose novel energy efficient adaptive network coding and
modulation schemes for time variant channels. We evaluate such schemes under a
realistic channel model for open area environments and Geostationary Earth
Orbit (GEO) satellites. Compared to non-adaptive network coding and adaptive
rate effic... | 1 | 0 | 0 | 0 | 0 | 0 |
DCCO: Towards Deformable Continuous Convolution Operators | Discriminative Correlation Filter (DCF) based methods have shown competitive
performance on tracking benchmarks in recent years. Generally, DCF based
trackers learn a rigid appearance model of the target. However, this reliance
on a single rigid appearance model is insufficient in situations where the
target undergoe... | 1 | 0 | 0 | 0 | 0 | 0 |
Multitarget search on complex networks: A logarithmic growth of global mean random cover time | We investigate multitarget search on complex networks and derive an exact
expression for the mean random cover time that quantifies the expected time a
walker needs to visit multiple targets. Based on this, we recover and extend
some interesting results of multitarget search on networks. Specifically, we
observe the ... | 1 | 1 | 0 | 0 | 0 | 0 |
New X-ray bound on density of primordial black holes | We set a new upper limit on the abundance of primordial black holes (PBH)
based on existing X-ray data. PBH interactions with interstellar medium should
result in significant fluxes of X-ray photons, which would contribute to the
observed number density of compact X-ray objects in galaxies. The data
constrain PBH num... | 0 | 1 | 0 | 0 | 0 | 0 |
Hierarchical Clustering with Prior Knowledge | Hierarchical clustering is a class of algorithms that seeks to build a
hierarchy of clusters. It has been the dominant approach to constructing
embedded classification schemes since it outputs dendrograms, which capture the
hierarchical relationship among members at all levels of granularity,
simultaneously. Being gr... | 0 | 0 | 0 | 1 | 0 | 0 |
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations | We introduce physics informed neural networks -- neural networks that are
trained to solve supervised learning tasks while respecting any given law of
physics described by general nonlinear partial differential equations. In this
second part of our two-part treatise, we focus on the problem of data-driven
discovery o... | 1 | 0 | 0 | 1 | 0 | 0 |
The HoTT reals coincide with the Escardó-Simpson reals | Escardó and Simpson defined a notion of interval object by a universal
property in any category with binary products. The Homotopy Type Theory book
defines a higher-inductive notion of reals, and suggests that the interval may
satisfy this universal property. We show that this is indeed the case in the
category of se... | 1 | 0 | 1 | 0 | 0 | 0 |
Noise2Noise: Learning Image Restoration without Clean Data | We apply basic statistical reasoning to signal reconstruction by machine
learning -- learning to map corrupted observations to clean signals -- with a
simple and powerful conclusion: it is possible to learn to restore images by
only looking at corrupted examples, at performance at and sometimes exceeding
training usi... | 0 | 0 | 0 | 1 | 0 | 0 |
Simple Root Cause Analysis by Separable Likelihoods | Root Cause Analysis for Anomalies is challenging because of the trade-off
between the accuracy and its explanatory friendliness, required for industrial
applications. In this paper we propose a framework for simple and friendly RCA
within the Bayesian regime under certain restrictions (that Hessian at the mode
is dia... | 0 | 0 | 0 | 1 | 0 | 0 |
Jeffrey's prior sampling of deep sigmoidal networks | Neural networks have been shown to have a remarkable ability to uncover low
dimensional structure in data: the space of possible reconstructed images form
a reduced model manifold in image space. We explore this idea directly by
analyzing the manifold learned by Deep Belief Networks and Stacked Denoising
Autoencoders... | 1 | 1 | 0 | 0 | 0 | 0 |
Computing the quality of the Laplace approximation | Bayesian inference requires approximation methods to become computable, but
for most of them it is impossible to quantify how close the approximation is to
the true posterior. In this work, we present a theorem upper-bounding the KL
divergence between a log-concave target density
$f\left(\boldsymbol{\theta}\right)$ a... | 0 | 0 | 1 | 1 | 0 | 0 |
Correlations between thresholds and degrees: An analytic approach to model attacks and failure cascades | Two node variables determine the evolution of cascades in random networks: a
node's degree and threshold. Correlations between both fundamentally change the
robustness of a network, yet, they are disregarded in standard analytic methods
as local tree or heterogeneous mean field approximations because of the bad
tract... | 0 | 1 | 0 | 0 | 0 | 0 |
Faster Learning by Reduction of Data Access Time | Nowadays, the major challenge in machine learning is the Big Data challenge.
The big data problems due to large number of data points or large number of
features in each data point, or both, the training of models have become very
slow. The training time has two major components: Time to access the data and
time to p... | 0 | 0 | 0 | 1 | 0 | 0 |
Optimal Control for Constrained Coverage Path Planning | The problem of constrained coverage path planning involves a robot trying to
cover maximum area of an environment under some constraints that appear as
obstacles in the map. Out of the several coverage path planning methods, we
consider augmenting the linear sweep-based coverage method to achieve minimum
energy/ time... | 1 | 0 | 0 | 0 | 0 | 0 |
ScaleSimulator: A Fast and Cycle-Accurate Parallel Simulator for Architectural Exploration | Design of next generation computer systems should be supported by simulation
infrastructure that must achieve a few contradictory goals such as fast
execution time, high accuracy, and enough flexibility to allow comparison
between large numbers of possible design points. Most existing architecture
level simulators ar... | 1 | 0 | 0 | 0 | 0 | 0 |
Annihilating wild kernels | Let $L/K$ be a finite Galois extension of number fields with Galois group
$G$. Let $p$ be an odd prime and $r>1$ be an integer. Assuming a conjecture of
Schneider, we formulate a conjecture that relates special values of equivariant
Artin $L$-series at $s=r$ to the compact support cohomology of the étale
$p$-adic she... | 0 | 0 | 1 | 0 | 0 | 0 |
Trading the Twitter Sentiment with Reinforcement Learning | This paper is to explore the possibility to use alternative data and
artificial intelligence techniques to trade stocks. The efficacy of the daily
Twitter sentiment on predicting the stock return is examined using machine
learning methods. Reinforcement learning(Q-learning) is applied to generate the
optimal trading ... | 1 | 0 | 0 | 0 | 0 | 0 |
Kahler-Einstein metrics and algebraic geometry | This is a survey article, based on the author's lectures in the 2015 Current
developments in Mathematics meeting; published in "Current developments in
Mathematics". Version 2, references corrected and added.
| 0 | 0 | 1 | 0 | 0 | 0 |
Hemihelical local minimizers in prestrained elastic bi-strips | We consider a double layered prestrained elastic rod in the limit of
vanishing cross section. For the resulting limit Kirchoff-rod model with
intrinsic curvature we prove a supercritical bifurcation result, rigorously
showing the emergence of a branch of hemihelical local minimizers from the
straight configuration, a... | 0 | 0 | 1 | 0 | 0 | 0 |
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks | Heterogeneous information networks (HINs) are ubiquitous in real-world
applications. Due to the heterogeneity in HINs, the typed edges may not fully
align with each other. In order to capture the semantic subtlety, we propose
the concept of aspects with each aspect being a unit representing one
underlying semantic fa... | 1 | 0 | 0 | 0 | 0 | 0 |
Nonlinear Information Bottleneck | Information bottleneck [IB] is a technique for extracting information in some
`input' random variable that is relevant for predicting some different 'output'
random variable. IB works by encoding the input in a compressed 'bottleneck
variable' from which the output can then be accurately decoded. IB can be
difficult ... | 1 | 0 | 0 | 1 | 0 | 0 |
Top-k Overlapping Densest Subgraphs: Approximation and Complexity | A central problem in graph mining is finding dense subgraphs, with several
applications in different fields, a notable example being identifying
communities. While a lot of effort has been put on the problem of finding a
single dense subgraph, only recently the focus has been shifted to the problem
of finding a set o... | 1 | 0 | 0 | 0 | 0 | 0 |
The energy-momentum tensor of electromagnetic fields in matter | We present a complete resolution of the Abraham-Minkowski controversy . This
is done by considering several new aspects which invalidate previous
discussions. We show that: 1)For polarized matter the center of mass theorem is
no longer valid in its usual form. A contribution related to microscopic spin
should be cons... | 0 | 1 | 0 | 0 | 0 | 0 |
Pinhole induced efficiency variation in perovskite solar cells | Process induced efficiency variation is a major concern for all thin film
solar cells, including the emerging perovskite based solar cells. In this
manuscript, we address the effect of pinholes or process induced surface
coverage aspects on the efficiency of such solar cells through detailed
numerical simulations. In... | 0 | 1 | 0 | 0 | 0 | 0 |
An Overview of Robust Subspace Recovery | This paper will serve as an introduction to the body of work on robust
subspace recovery. Robust subspace recovery involves finding an underlying
low-dimensional subspace in a dataset that is possibly corrupted with outliers.
While this problem is easy to state, it has been difficult to develop optimal
algorithms due... | 0 | 0 | 0 | 1 | 0 | 0 |
Tuning Free Orthogonal Matching Pursuit | Orthogonal matching pursuit (OMP) is a widely used compressive sensing (CS)
algorithm for recovering sparse signals in noisy linear regression models. The
performance of OMP depends on its stopping criteria (SC). SC for OMP discussed
in literature typically assumes knowledge of either the sparsity of the signal
to be... | 1 | 0 | 0 | 1 | 0 | 0 |
New constructions of MDS codes with complementary duals | Linear complementary-dual (LCD for short) codes are linear codes that
intersect with their duals trivially. LCD codes have been used in certain
communication systems. It is recently found that LCD codes can be applied in
cryptography. This application of LCD codes renewed the interest in the
construction of LCD codes... | 1 | 0 | 0 | 0 | 0 | 0 |
Porosity and regularity in metric measure spaces | This is a report of a joint work with E. Järvenpää, M. Järvenpää,
T. Rajala, S. Rogovin, and V. Suomala. In [3], we characterized uniformly
porous sets in $s$-regular metric spaces in terms of regular sets by verifying
that a set $A$ is uniformly porous if and only if there is $t < s$ and a
$t$-regular set $F \supset... | 0 | 0 | 1 | 0 | 0 | 0 |
Strong-coupling superconductivity induced by calcium intercalation in bilayer transition-metal dichalcogenides | We theoretically investigate the possibility of achieving a superconducting
state in transition-metal dichalcogenide bilayers through intercalation, a
process previously and widely used to achieve metallization and superconducting
states in novel superconductors. For the Ca-intercalated bilayers MoS$_2$ and
WS$_2$, w... | 0 | 1 | 0 | 0 | 0 | 0 |
Interval-type theorems concerning quasi-arithmetic means | Family of quasi-arithmetic means has a natural, partial order (point-wise
order) $A^{[f]}\le A^{[g]}$ if and only if $A^{[f]}(v)\le A^{[g]}(v)$ for all
admissible vectors $v$ ($f,\,g$ and, later, $h$ are continuous and monotone and
defined on a common interval). Therefore one can introduce the notion of
interval-type... | 0 | 0 | 1 | 0 | 0 | 0 |
Integrable flows between exact CFTs | We explicitly construct families of integrable $\sigma$-model actions
smoothly interpolating between exact CFTs. In the ultraviolet the theory is the
direct product of two current algebras at levels $k_1$ and $k_2$. In the
infrared and for the case of two deformation matrices the CFT involves a coset
CFT, whereas for... | 0 | 1 | 0 | 0 | 0 | 0 |
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