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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Stochastic comparisons of series and parallel systems with heterogeneous components | In this paper, we discuss stochastic comparisons of parallel systems with
independent heterogeneous exponentiated Nadarajah-Haghighi (ENH) components in
terms of the usual stochastic order, dispersive order, convex transform order
and the likelihood ratio order. In the presence of the Archimedean copula, we
study sto... | 0 | 0 | 1 | 1 | 0 | 0 |
Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score | Mendelian randomization (MR) is a method of exploiting genetic variation to
unbiasedly estimate a causal effect in presence of unmeasured confounding. MR
is being widely used in epidemiology and other related areas of population
science. In this paper, we study statistical inference in the increasingly
popular two-sa... | 0 | 0 | 0 | 1 | 0 | 0 |
Edgeworth correction for the largest eigenvalue in a spiked PCA model | We study improved approximations to the distribution of the largest
eigenvalue $\hat{\ell}$ of the sample covariance matrix of $n$ zero-mean
Gaussian observations in dimension $p+1$. We assume that one population
principal component has variance $\ell > 1$ and the remaining `noise'
components have common variance $1$... | 0 | 0 | 1 | 1 | 0 | 0 |
On one nearly everywhere continuous and nowhere differentiable function, that defined by automaton with finite memory | This paper is devoted to the investigation of the following function $$ f:
x=\Delta^{3}_{\alpha_{1}\alpha_{2}...\alpha_{n}...}{\rightarrow}
\Delta^{3}_{\varphi(\alpha_{1})\varphi(\alpha_{2})...\varphi(\alpha_{n})...}=f(x)=y,
$$ where $\varphi(i)=\frac{-3i^{2}+7i}{2}$, $ i \in N^{0}_{2}=\{0,1,2\}$, and
$\Delta^{3}_{\a... | 0 | 0 | 1 | 0 | 0 | 0 |
Hochschild cohomology for periodic algebras of polynomial growth | We describe the dimensions of low Hochschild cohomology spaces of exceptional
periodic representation-infinite algebras of polynomial growth. As an
application we obtain that an indecomposable non-standard periodic
representation-infinite algebra of polynomial growth is not derived equivalent
to a standard self-injec... | 0 | 0 | 1 | 0 | 0 | 0 |
Fracton Models on General Three-Dimensional Manifolds | Fracton models, a collection of exotic gapped lattice Hamiltonians recently
discovered in three spatial dimensions, contain some 'topological' features:
they support fractional bulk excitations (dubbed fractons), and a ground state
degeneracy that is robust to local perturbations. However, because previous
fracton mo... | 0 | 1 | 0 | 0 | 0 | 0 |
Topic Modeling on Health Journals with Regularized Variational Inference | Topic modeling enables exploration and compact representation of a corpus.
The CaringBridge (CB) dataset is a massive collection of journals written by
patients and caregivers during a health crisis. Topic modeling on the CB
dataset, however, is challenging due to the asynchronous nature of multiple
authors writing a... | 0 | 0 | 0 | 1 | 0 | 0 |
On the Taylor coefficients of a subclass of meromorphic univalent functions | Let $\mathcal{V}_p(\lambda)$ be the collection of all functions $f$ defined
in the unit disc $\ID$ having a simple pole at $z=p$ where $0<p<1$ and analytic
in $\ID\setminus\{p\}$ with $f(0)=0=f'(0)-1$ and satisfying the differential
inequality $|(z/f(z))^2 f'(z)-1|< \lambda $ for $z\in \ID$, $0<\lambda\leq 1$.
Each $... | 0 | 0 | 1 | 0 | 0 | 0 |
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs | The loss functions of deep neural networks are complex and their geometric
properties are not well understood. We show that the optima of these complex
loss functions are in fact connected by simple curves over which training and
test accuracy are nearly constant. We introduce a training procedure to
discover these h... | 0 | 0 | 0 | 1 | 0 | 0 |
On the scaling patterns of infectious disease incidence in cities | Urban areas with larger and more connected populations offer an auspicious
environment for contagion processes such as the spread of pathogens. Empirical
evidence reveals a systematic increase in the rates of certain sexually
transmitted diseases (STDs) with larger urban population size. However, the
main drivers of ... | 0 | 0 | 0 | 0 | 1 | 0 |
Homological subsets of Spec | We investigate homological subsets of the prime spectrum of a ring, defined
by the help of the Ext-family $\{\Ext^i_R(-,R)\}$. We extend Grothendieck's
calculation of $\dim(\Ext^g_R(M,R))$. We compute support of $\Ext^i_R(M,R)$ in
many cases. Also, we answer a low-dimensional case of a problem posed by
Vasconcelos on... | 0 | 0 | 1 | 0 | 0 | 0 |
Mean field repulsive Kuramoto models: Phase locking and spatial signs | The phenomenon of self-synchronization in populations of oscillatory units
appears naturally in neurosciences. However, in some situations, the formation
of a coherent state is damaging. In this article we study a repulsive
mean-field Kuramoto model that describes the time evolution of n points on the
unit circle, wh... | 0 | 0 | 0 | 0 | 1 | 0 |
Signal tracking beyond the time resolution of an atomic sensor by Kalman filtering | We study causal waveform estimation (tracking) of time-varying signals in a
paradigmatic atomic sensor, an alkali vapor monitored by Faraday rotation
probing. We use Kalman filtering, which optimally tracks known linear Gaussian
stochastic processes, to estimate stochastic input signals that we generate by
optical pu... | 0 | 1 | 0 | 0 | 0 | 0 |
Case Study: Explaining Diabetic Retinopathy Detection Deep CNNs via Integrated Gradients | In this report, we applied integrated gradients to explaining a neural
network for diabetic retinopathy detection. The integrated gradient is an
attribution method which measures the contributions of input to the quantity of
interest. We explored some new ways for applying this method such as explaining
intermediate ... | 1 | 0 | 0 | 0 | 0 | 0 |
6.2-GHz modulated terahertz light detection using fast terahertz quantum well photodetectors | The fast detection of terahertz radiation is of great importance for various
applications such as fast imaging, high speed communications, and spectroscopy.
Most commercial products capable of sensitively responding the terahertz
radiation are thermal detectors, i.e., pyroelectric sensors and bolometers.
This class o... | 0 | 1 | 0 | 0 | 0 | 0 |
Inference via low-dimensional couplings | We investigate the low-dimensional structure of deterministic transformations
between random variables, i.e., transport maps between probability measures. In
the context of statistics and machine learning, these transformations can be
used to couple a tractable "reference" measure (e.g., a standard Gaussian) with
a t... | 0 | 0 | 0 | 1 | 0 | 0 |
A unified thermostat scheme for efficient configurational sampling for classical/quantum canonical ensembles via molecular dynamics | We show a unified second-order scheme for constructing simple, robust and
accurate algorithms for typical thermostats for configurational sampling for
the canonical ensemble. When Langevin dynamics is used, the scheme leads to the
BAOAB algorithm that has been recently investigated. We show that the scheme is
also us... | 0 | 1 | 0 | 0 | 0 | 0 |
Wide Bandwidth, Frequency Modulated Free Electron Laser | It is shown via theory and simulation that the resonant frequency of a Free
Electron Laser may be modulated to obtain an FEL interaction with a frequency
bandwidth which is at least an order of magnitude greater than normal FEL
operation. The system is described in the linear regime by a summation over
exponential ga... | 0 | 1 | 0 | 0 | 0 | 0 |
A Transformation-Proximal Bundle Algorithm for Solving Large-Scale Multistage Adaptive Robust Optimization Problems | This paper presents a novel transformation-proximal bundle algorithm to solve
multistage adaptive robust mixed-integer linear programs (MARMILPs). By
explicitly partitioning recourse decisions into state decisions and local
decisions, the proposed algorithm applies affine decision rule only to state
decisions and all... | 1 | 0 | 0 | 0 | 0 | 0 |
Dual SVM Training on a Budget | We present a dual subspace ascent algorithm for support vector machine
training that respects a budget constraint limiting the number of support
vectors. Budget methods are effective for reducing the training time of kernel
SVM while retaining high accuracy. To date, budget training is available only
for primal (SGD-... | 0 | 0 | 0 | 1 | 0 | 0 |
AWAKE readiness for the study of the seeded self-modulation of a 400\,GeV proton bunch | AWAKE is a proton-driven plasma wakefield acceleration experiment. % We show
that the experimental setup briefly described here is ready for systematic
study of the seeded self-modulation of the 400\,GeV proton bunch in the
10\,m-long rubidium plasma with density adjustable from 1 to
10$\times10^{14}$\,cm$^{-3}$. % W... | 0 | 1 | 0 | 0 | 0 | 0 |
Exploring the Psychological Basis for Transitions in the Archaeological Record | In lieu of an abstract here is the first paragraph: No other species remotely
approaches the human capacity for the cultural evolution of novelty that is
accumulative, adaptive, and open-ended (i.e., with no a priori limit on the
size or scope of possibilities). By culture we mean extrasomatic
adaptations--including ... | 0 | 0 | 0 | 0 | 1 | 0 |
Well quasi-orders and the functional interpretation | The purpose of this article is to study the role of Gödel's functional
interpretation in the extraction of programs from proofs in well quasi-order
theory. The main focus is on the interpretation of Nash-Williams' famous
minimal bad sequence construction, and the exploration of a number of much
broader problems which... | 1 | 0 | 1 | 0 | 0 | 0 |
A local limit theorem for Quicksort key comparisons via multi-round smoothing | As proved by Régnier and Rösler, the number of key comparisons required
by the randomized sorting algorithm QuickSort to sort a list of $n$ distinct
items (keys) satisfies a global distributional limit theorem. Fill and Janson
proved results about the limiting distribution and the rate of convergence, and
used these ... | 0 | 0 | 1 | 0 | 0 | 0 |
On the Computation of Kantorovich-Wasserstein Distances between 2D-Histograms by Uncapacitated Minimum Cost Flows | In this work, we present a method to compute the Kantorovich distance, that
is, the Wasserstein distance of order one, between a pair of two-dimensional
histograms. Recent works in Computer Vision and Machine Learning have shown the
benefits of measuring Wasserstein distances of order one between histograms
with $N$ ... | 0 | 0 | 0 | 1 | 0 | 0 |
Efficient anchor loss suppression in coupled near-field optomechanical resonators | Elastic dissipation through radiation towards the substrate is a major loss
channel in micro- and nanomechanical resonators. Engineering the coupling of
these resonators with optical cavities further complicates and constrains the
design of low-loss optomechanical devices. In this work we rely on the coherent
cancell... | 0 | 1 | 0 | 0 | 0 | 0 |
Searching for previously unknown classes of objects in the AKARI-NEP Deep data with fuzzy logic SVM algorithm | In this proceedings application of a fuzzy Support Vector Machine (FSVM)
learning algorithm, to classify mid-infrared (MIR) sources from the AKARI NEP
Deep field into three classes: stars, galaxies and AGNs, is presented. FSVM is
an improved version of the classical SVM algorithm, incorporating measurement
errors int... | 0 | 1 | 0 | 0 | 0 | 0 |
Stability of laminar Couette flow of compressible fluids | Cylindrical Couette flow is a subject where the main focus has long been on
the onset of turbulence or, more precisely, the limit of stability of the
simplest laminar flow. The theoretical framework of this paper is a recently
developed action principle for hydrodynamics. It incorporates Euler-Lagrange
equations that... | 0 | 1 | 0 | 0 | 0 | 0 |
A Hierarchical Max-infinitely Divisible Process for Extreme Areal Precipitation Over Watersheds | Understanding the spatial extent of extreme precipitation is necessary for
determining flood risk and adequately designing infrastructure (e.g.,
stormwater pipes) to withstand such hazards. While environmental phenomena
typically exhibit weakening spatial dependence at increasingly extreme levels,
limiting max-stable... | 0 | 0 | 0 | 1 | 0 | 0 |
The dependence of cluster galaxy properties on the central entropy of their host cluster | We present a study of the connection between brightest cluster galaxies
(BCGs) and their host galaxy clusters. Using galaxy clusters at $0.1<z<0.3$
from the Hectospec Cluster Survey (HeCS) with X-ray information from the
Archive of {\it Chandra} Cluster Entropy Profile Tables (ACCEPT), we confirm
that BCGs in low cen... | 0 | 1 | 0 | 0 | 0 | 0 |
Gaussian Prototypical Networks for Few-Shot Learning on Omniglot | We propose a novel architecture for $k$-shot classification on the Omniglot
dataset. Building on prototypical networks, we extend their architecture to
what we call Gaussian prototypical networks. Prototypical networks learn a map
between images and embedding vectors, and use their clustering for
classification. In o... | 1 | 0 | 0 | 1 | 0 | 0 |
Uncertainty principle and geometry of the infinite Grassmann manifold | We study the pairs of projections $$ P_If=\chi_If ,\ \ Q_Jf= \left(\chi_J
\hat{f}\right)\check{\ } , \ \ f\in L^2(\mathbb{R}^n), $$ where $I, J\subset
\mathbb{R}^n$ are sets of finite Lebesgue measure, $\chi_I, \chi_J$ denote the
corresponding characteristic functions and $\hat{\ } , \check{\ }$ denote the
Fourier-Pl... | 0 | 0 | 1 | 0 | 0 | 0 |
Existence and symmetry of solutions for critical fractional Schrödinger equations with bounded potentials | This paper is concerned with the following fractional Schrödinger
equations involving critical exponents: \begin{eqnarray*}
(-\Delta)^{\alpha}u+V(x)u=k(x)f(u)+\lambda|u|^{2_{\alpha}^{*}-2}u\quad\quad
\mbox{in}\ \mathbb{R}^{N}, \end{eqnarray*} where $(-\Delta)^{\alpha}$ is the
fractional Laplacian operator with $\alph... | 0 | 0 | 1 | 0 | 0 | 0 |
Early Detection of Promoted Campaigns on Social Media | Social media expose millions of users every day to information campaigns ---
some emerging organically from grassroots activity, others sustained by
advertising or other coordinated efforts. These campaigns contribute to the
shaping of collective opinions. While most information campaigns are benign,
some may be depl... | 1 | 0 | 0 | 0 | 0 | 0 |
Discovery of statistical equivalence classes using computer algebra | Discrete statistical models supported on labelled event trees can be
specified using so-called interpolating polynomials which are generalizations
of generating functions. These admit a nested representation. A new algorithm
exploits the primary decomposition of monomial ideals associated with an
interpolating polyno... | 0 | 0 | 1 | 1 | 0 | 0 |
Can Boltzmann Machines Discover Cluster Updates ? | Boltzmann machines are physics informed generative models with wide
applications in machine learning. They can learn the probability distribution
from an input dataset and generate new samples accordingly. Applying them back
to physics, the Boltzmann machines are ideal recommender systems to accelerate
Monte Carlo si... | 0 | 1 | 0 | 1 | 0 | 0 |
Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction | Graph Signal Processing (GSP) is a promising framework to analyze
multi-dimensional neuroimaging datasets, while taking into account both the
spatial and functional dependencies between brain signals. In the present work,
we apply dimensionality reduction techniques based on graph representations of
the brain to deco... | 1 | 0 | 0 | 1 | 0 | 0 |
Weak subsolutions to complex Monge-Ampère equations | We compare various notions of weak subsolutions to degenerate complex
Monge-Ampère equations, showing that they all coincide. This allows us to
give an alternative proof of mixed Monge-Ampère inequalities due to Kolodziej
and Dinew.
| 0 | 0 | 1 | 0 | 0 | 0 |
Bayesian inversion of convolved hidden Markov models with applications in reservoir prediction | Efficient assessment of convolved hidden Markov models is discussed. The
bottom-layer is defined as an unobservable categorical first-order Markov
chain, while the middle-layer is assumed to be a Gaussian spatial variable
conditional on the bottom-layer. Hence, this layer appear as a Gaussian mixture
spatial variable... | 0 | 1 | 0 | 1 | 0 | 0 |
On the post-Keplerian corrections to the orbital periods of a two-body system and their application to the Galactic Center | Detailed numerical analyses of the orbital motion of a test particle around a
spinning primary are performed. They aim to investigate the possibility of
using the post-Keplerian (pK) corrections to the orbiter's periods (draconitic,
anomalistic and sidereal) as a further opportunity to perform new tests of
post-Newto... | 0 | 1 | 0 | 0 | 0 | 0 |
Disentangling top-down vs. bottom-up and low-level vs. high-level influences on eye movements over time | Bottom-up and top-down, as well as low-level and high-level factors influence
where we fixate when viewing natural scenes. However, the importance of each of
these factors and how they interact remains a matter of debate. Here, we
disentangle these factors by analysing their influence over time. For this
purpose we d... | 0 | 0 | 0 | 0 | 1 | 0 |
Sharp estimates for oscillatory integral operators via polynomial partitioning | The sharp range of $L^p$-estimates for the class of Hörmander-type
oscillatory integral operators is established in all dimensions under a
positive-definite assumption on the phase. This is achieved by generalising a
recent approach of the first author for studying the Fourier extension
operator, which utilises polyn... | 0 | 0 | 1 | 0 | 0 | 0 |
Inhomogeneous Heisenberg Spin Chain and Quantum Vortex Filament as Non-Holonomically Deformed NLS Systems | Through the Hasimoto map, various dynamical systems can be mapped to
different integrodifferential generalizations of Nonlinear Schrodinger (NLS)
family of equations some of which are known to be integrable. Two such
continuum limits, corresponding to the inhomogeneous XXX Heisenberg spin chain
[Balakrishnan, J. Phys... | 0 | 1 | 0 | 0 | 0 | 0 |
An Information-Theoretic Analysis of Deduplication | Deduplication finds and removes long-range data duplicates. It is commonly
used in cloud and enterprise server settings and has been successfully applied
to primary, backup, and archival storage. Despite its practical importance as a
source-coding technique, its analysis from the point of view of information
theory i... | 1 | 0 | 1 | 0 | 0 | 0 |
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception | While deep neural networks take loose inspiration from neuroscience, it is an
open question how seriously to take the analogies between artificial deep
networks and biological neuronal systems. Interestingly, recent work has shown
that deep convolutional neural networks (CNNs) trained on large-scale image
recognition... | 0 | 0 | 0 | 0 | 1 | 0 |
Triangulum II: Not Especially Dense After All | Among the Milky Way satellites discovered in the past three years, Triangulum
II has presented the most difficulty in revealing its dynamical status. Kirby
et al. (2015a) identified it as the most dark matter-dominated galaxy known,
with a mass-to-light ratio within the half-light radius of 3600 +3500 -2100
M_sun/L_s... | 0 | 1 | 0 | 0 | 0 | 0 |
Improving the upper bound on the length of the shortest reset words | We improve the best known upper bound on the length of the shortest reset
words of synchronizing automata. The new bound is slightly better than $114 n^3
/ 685 + O(n^2)$. The Černý conjecture states that $(n-1)^2$ is an upper
bound. So far, the best general upper bound was $(n^3-n)/6-1$ obtained by
J.-E.~Pin and P.~F... | 1 | 0 | 0 | 0 | 0 | 0 |
Graphite: Iterative Generative Modeling of Graphs | Graphs are a fundamental abstraction for modeling relational data. However,
graphs are discrete and combinatorial in nature, and learning representations
suitable for machine learning tasks poses statistical and computational
challenges. In this work, we propose Graphite an algorithmic framework for
unsupervised lear... | 1 | 0 | 0 | 1 | 0 | 0 |
Characteristic classes in general relativity on a modified Poincare curvature bundle | Characteristic classes in space-time manifolds are discussed for both even-
and odd-dimensional spacetimes. In particular, it is shown that the
Einstein--Hilbert action is equivalent to a second Chern-class on a modified
Poincare bundle in four dimensions. Consequently, the cosmological constant and
the trace of an e... | 0 | 1 | 0 | 0 | 0 | 0 |
Observation of a 3D magnetic null point | We describe high resolution observations of a GOES B-class flare
characterized by a circular ribbon at chromospheric level, corresponding to the
network at photospheric level. We interpret the flare as a consequence of a
magnetic reconnection event occurred at a three-dimensional (3D) coronal null
point located above... | 0 | 1 | 0 | 0 | 0 | 0 |
3D spatial exploration by E. coli echoes motor temporal variability | Unraveling bacterial strategies for spatial exploration is crucial to
understand the complexity of the organi- zation of life. Currently, a
cornerstone for quantitative modeling of bacterial transport, is their
run-and-tumble strategy to explore their environment. For Escherichia coli, the
run time distribution was r... | 0 | 0 | 0 | 0 | 1 | 0 |
Unsupervised Latent Behavior Manifold Learning from Acoustic Features: audio2behavior | Behavioral annotation using signal processing and machine learning is highly
dependent on training data and manual annotations of behavioral labels.
Previous studies have shown that speech information encodes significant
behavioral information and be used in a variety of automated behavior
recognition tasks. However,... | 1 | 0 | 0 | 0 | 0 | 0 |
Test map characterizations of local properties of fundamental groups | Local properties of the fundamental group of a path-connected topological
space can pose obstructions to the applicability of covering space theory. A
generalized covering map is a generalization of the classical notion of
covering map defined in terms of unique lifting properties. The existence of
generalized coveri... | 0 | 0 | 1 | 0 | 0 | 0 |
Adaptive channel selection for DOA estimation in MIMO radar | We present adaptive strategies for antenna selection for Direction of Arrival
(DoA) estimation of a far-field source using TDM MIMO radar with linear arrays.
Our treatment is formulated within a general adaptive sensing framework that
uses one-step ahead predictions of the Bayesian MSE using a parametric family
of We... | 1 | 0 | 0 | 0 | 0 | 0 |
Photometric characterization of the Dark Energy Camera | We characterize the variation in photometric response of the Dark Energy
Camera (DECam) across its 520~Mpix science array during 4 years of operation.
These variations are measured using high signal-to-noise aperture photometry of
$>10^7$ stellar images in thousands of exposures of a few selected fields, with
the tel... | 0 | 1 | 0 | 0 | 0 | 0 |
Tough self-healing elastomers by molecular enforced integration of covalent and reversible networks | Self-healing polymers crosslinked by solely reversible bonds are
intrinsically weaker than common covalently crosslinked networks. Introducing
covalent crosslinks into a reversible network would improve mechanical
strength. It is challenging, however, to apply this design concept to dry
elastomers, largely because re... | 0 | 1 | 0 | 0 | 0 | 0 |
SYK Models and SYK-like Tensor Models with Global Symmetry | In this paper, we study an SYK model and an SYK-like tensor model with global
symmetry. First, we study the large $N$ expansion of the bi-local collective
action for the SYK model with manifest global symmetry. We show that the global
symmetry is enhanced to a local symmetry at strong coupling limit, and the
correspo... | 0 | 1 | 0 | 0 | 0 | 0 |
Which Stars are Ionizing the Orion Nebula ? | The common assumption that Theta-1-Ori C is the dominant ionizing source for
the Orion Nebula is critically examined. This assumption underlies much of the
existing analysis of the nebula. In this paper we establish through comparison
of the relative strengths of emission lines with expectations from Cloudy
models an... | 0 | 1 | 0 | 0 | 0 | 0 |
FLaapLUC: a pipeline for the generation of prompt alerts on transient Fermi-LAT $γ$-ray sources | The large majority of high energy sources detected with Fermi-LAT are
blazars, which are known to be very variable sources. High cadence long-term
monitoring simultaneously at different wavelengths being prohibitive, the study
of their transient activities can help shedding light on our understanding of
these objects... | 0 | 1 | 0 | 0 | 0 | 0 |
A network approach to topic models | One of the main computational and scientific challenges in the modern age is
to extract useful information from unstructured texts. Topic models are one
popular machine-learning approach which infers the latent topical structure of
a collection of documents. Despite their success --- in particular of its most
widely ... | 1 | 0 | 0 | 1 | 0 | 0 |
CRPropa 3.1 -- A low energy extension based on stochastic differential equations | The propagation of charged cosmic rays through the Galactic environment
influences all aspects of the observation at Earth. Energy spectrum,
composition and arrival directions are changed due to deflections in magnetic
fields and interactions with the interstellar medium. Today the transport is
simulated with differe... | 0 | 1 | 0 | 0 | 0 | 0 |
Isometries in spaces of Kähler potentials | The space of Kähler potentials in a compact Kähler manifold, endowed with
Mabuchi's metric, is an infinite dimensional Riemannian manifold. We
characterize local isometries between spaces of Kähler potentials, and prove
existence and uniqueness for such isometries.
| 0 | 0 | 1 | 0 | 0 | 0 |
On the Statistical Challenges of Echo State Networks and Some Potential Remedies | Echo state networks are powerful recurrent neural networks. However, they are
often unstable and shaky, making the process of finding an good ESN for a
specific dataset quite hard. Obtaining a superb accuracy by using the Echo
State Network is a challenging task. We create, develop and implement a family
of predictab... | 0 | 0 | 0 | 1 | 0 | 0 |
Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances | In this paper, we prove that some Gaussian structural equation models with
dependent errors having equal variances are identifiable from their
corresponding Gaussian distributions. Specifically, we prove identifiability
for the Gaussian structural equation models that can be represented as
Andersson-Madigan-Perlman c... | 0 | 0 | 0 | 1 | 0 | 0 |
Smart Contract SLAs for Dense Small-Cell-as-a-Service | The disruptive power of blockchain technologies represents a great
opportunity to re-imagine standard practices of telecommunication networks and
to identify critical areas that can benefit from brand new approaches. As a
starting point for this debate, we look at the current limits of infrastructure
sharing, and spe... | 1 | 0 | 0 | 0 | 0 | 0 |
On Kiguradze theorem for linear boundary value problems | We investigate the limiting behavior of solutions of nonhomogeneous boundary
value problems for the systems of linear ordinary differential equations. The
generalization of Kiguradze theorem (1987) on passage to the limit is obtained.
| 0 | 0 | 1 | 0 | 0 | 0 |
Fidelity Lower Bounds for Stabilizer and CSS Quantum Codes | In this paper we estimate the fidelity of stabilizer and CSS codes. First, we
derive a lower bound on the fidelity of a stabilizer code via its quantum
enumerator. Next, we find the average quantum enumerators of the ensembles of
finite length stabilizer and CSS codes. We use the average quantum enumerators
for obtai... | 1 | 0 | 0 | 0 | 0 | 0 |
Cross-validation improved by aggregation: Agghoo | Cross-validation is widely used for selecting among a family of learning
rules. This paper studies a related method, called aggregated hold-out
(Agghoo), which mixes cross-validation with aggregation; Agghoo can also be
related to bagging. According to numerical experiments, Agghoo can improve
significantly cross-val... | 0 | 0 | 1 | 1 | 0 | 0 |
MAT: A Multimodal Attentive Translator for Image Captioning | In this work we formulate the problem of image captioning as a multimodal
translation task. Analogous to machine translation, we present a
sequence-to-sequence recurrent neural networks (RNN) model for image caption
generation. Different from most existing work where the whole image is
represented by convolutional ne... | 1 | 0 | 0 | 0 | 0 | 0 |
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games | Mobile gaming has emerged as a promising market with billion-dollar revenues.
A variety of mobile game platforms and services have been developed around the
world. One critical challenge for these platforms and services is to understand
user churn behavior in mobile games. Accurate churn prediction will benefit
many ... | 0 | 0 | 0 | 1 | 0 | 0 |
Sequential rerandomization | The seminal work of Morgan and Rubin (2012) considers rerandomization for all
the units at one time. In practice, however, experimenters may have to
rerandomize units sequentially. For example, a clinician studying a rare
disease may be unable to wait to perform an experiment until all the
experimental units are recr... | 0 | 0 | 0 | 1 | 0 | 0 |
Neural SLAM: Learning to Explore with External Memory | We present an approach for agents to learn representations of a global map
from sensor data, to aid their exploration in new environments. To achieve
this, we embed procedures mimicking that of traditional Simultaneous
Localization and Mapping (SLAM) into the soft attention based addressing of
external memory archite... | 1 | 0 | 0 | 0 | 0 | 0 |
Information Storage and Retrieval using Macromolecules as Storage Media | To store information at extremely high-density and data-rate, we propose to
adapt, integrate, and extend the techniques developed by chemists and molecular
biologists for the purpose of manipulating biological and other macromolecules.
In principle, volumetric densities in excess of 10^21 bits/cm^3 can be achieved
wh... | 1 | 1 | 0 | 0 | 0 | 0 |
Morgan type uncertainty principle and unique continuation properties for abstract Schrödinger equations | In this paper, Morgan type uncertainty principle and unique continuation
properties of abstract Schrödinger equations with time dependent potentials
in vector-valued classes are obtained. The equation involves a possible linear
operators considered in the Hilbert spaces. So, by choosing the corresponding
spaces H and... | 0 | 0 | 1 | 0 | 0 | 0 |
Can the Journal Impact Factor Be Used as a Criterion for the Selection of Junior Researchers? A Large-Scale Empirical Study Based on ResearcherID Data | Early in researchers' careers, it is difficult to assess how good their work
is or how important or influential the scholars will eventually be. Hence,
funding agencies, academic departments, and others often use the Journal Impact
Factor (JIF) of where the authors have published to assess their work and
provide reso... | 1 | 1 | 0 | 0 | 0 | 0 |
Deep MIMO Detection | In this paper, we consider the use of deep neural networks in the context of
Multiple-Input-Multiple-Output (MIMO) detection. We give a brief introduction
to deep learning and propose a modern neural network architecture suitable for
this detection task. First, we consider the case in which the MIMO channel is
consta... | 1 | 0 | 0 | 1 | 0 | 0 |
Cross-View Image Matching for Geo-localization in Urban Environments | In this paper, we address the problem of cross-view image geo-localization.
Specifically, we aim to estimate the GPS location of a query street view image
by finding the matching images in a reference database of geo-tagged bird's eye
view images, or vice versa. To this end, we present a new framework for
cross-view ... | 1 | 0 | 0 | 0 | 0 | 0 |
Understanding the Feedforward Artificial Neural Network Model From the Perspective of Network Flow | In recent years, deep learning based on artificial neural network (ANN) has
achieved great success in pattern recognition. However, there is no clear
understanding of such neural computational models. In this paper, we try to
unravel "black-box" structure of Ann model from network flow. Specifically, we
consider the ... | 1 | 0 | 0 | 0 | 0 | 0 |
Excitation of multiple 2-mode parametric resonances by a single driven mode | We demonstrate autoparametric excitation of two distinct sub-harmonic
mechanical modes by the same driven mechanical mode corresponding to different
drive frequencies within its resonance dispersion band. This experimental
observation is used to motivate a more general physical picture wherein
multiple mechanical mod... | 0 | 1 | 0 | 0 | 0 | 0 |
Solar system science with the Wide-Field InfraRed Survey Telescope (WFIRST) | We present a community-led assessment of the solar system investigations
achievable with NASA's next-generation space telescope, the Wide Field InfraRed
Survey Telescope (WFIRST). WFIRST will provide imaging, spectroscopic, and
coronagraphic capabilities from 0.43-2.0 $\mu$m and will be a potential
contemporary and e... | 0 | 1 | 0 | 0 | 0 | 0 |
Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition | Unsupervised dependency parsing aims to learn a dependency parser from
unannotated sentences. Existing work focuses on either learning generative
models using the expectation-maximization algorithm and its variants, or
learning discriminative models using the discriminative clustering algorithm.
In this paper, we pro... | 1 | 0 | 0 | 0 | 0 | 0 |
Near-Infrared Knots and Dense Fe Ejecta in the Cassiopeia A Supernova Remnant | We report the results of broadband (0.95--2.46 $\mu$m) near-infrared
spectroscopic observations of the Cassiopeia A supernova remnant. Using a
clump-finding algorithm in two-dimensional dispersed images, we identify 63
"knots" from eight slit positions and derive their spectroscopic properties.
All of the knots emit ... | 0 | 1 | 0 | 0 | 0 | 0 |
On the conjecture of Jeśmanowicz | We give a survey on some results covering the last 60 years concerning
Jeśmanowicz' conjecture. Moreover, we conclude the survey with a new result
by showing that the special Diophantine equation $$(20k)^x+(99k)^y=(101k)^z$$
has no solution other than $(x,y,z)=(2,2,2)$.
| 0 | 0 | 1 | 0 | 0 | 0 |
Lattice implementation of Abelian gauge theories with Chern-Simons number and an axion field | Real time evolution of classical gauge fields is relevant for a number of
applications in particle physics and cosmology, ranging from the early Universe
to dynamics of quark-gluon plasma. We present a lattice formulation of the
interaction between a $shift$-symmetric field and some $U(1)$ gauge sector,
$a(x)\tilde{F... | 0 | 1 | 0 | 0 | 0 | 0 |
II-FCN for skin lesion analysis towards melanoma detection | Dermoscopy image detection stays a tough task due to the weak distinguishable
property of the object.Although the deep convolution neural network
signifigantly boosted the performance on prevelance computer vision tasks in
recent years,there remains a room to explore more robust and precise models to
the problem of l... | 1 | 0 | 0 | 0 | 0 | 0 |
Zero-Shot Visual Imitation | The current dominant paradigm for imitation learning relies on strong
supervision of expert actions to learn both 'what' and 'how' to imitate. We
pursue an alternative paradigm wherein an agent first explores the world
without any expert supervision and then distills its experience into a
goal-conditioned skill polic... | 1 | 0 | 0 | 1 | 0 | 0 |
Spreading in kinetic reaction-transport equations in higher velocity dimensions | In this paper, we extend and complement previous works about propagation in
kinetic reaction-transport equations. The model we study describes particles
moving according to a velocity-jump process, and proliferating according to a
reaction term of monostable type. We focus on the case of bounded velocities,
having di... | 0 | 0 | 1 | 0 | 0 | 0 |
Matching of orbital integrals (transfer) and Roche Hecke algebra isomorphisms | Let $F$ be a non-Archimedan local field, $G$ a connected reductive group
defined and split over $F$, and $T$ a maximal $F$-split torus in $G$. Let
$\chi_0$ be a depth zero character of the maximal compact subgroup
$\mathcal{T}$ of $T(F)$. It gives by inflation a character $\rho$ of an Iwahori
subgroup $\mathcal{I}$ o... | 0 | 0 | 1 | 0 | 0 | 0 |
Testing atomic collision theory with the two-photon continuum of astrophysical nebulae | Accurate rates for energy-degenerate l-changing collisions are needed to
determine cosmological abundances and recombination. There are now several
competing theories for the treatment of this process, and it is not possible to
test these experimentally. We show that the H I two-photon continuum produced
by astrophys... | 0 | 1 | 0 | 0 | 0 | 0 |
Metrologically useful states of spin-1 Bose condensates with macroscopic magnetization | We study theoretically the usefulness of spin-1 Bose condensates with
macroscopic magnetization in a homogeneous magnetic field for quantum
metrology. We demonstrate Heisenberg scaling of the quantum Fisher information
for states in thermal equilibrium. The scaling applies to both
antiferromagnetic and ferromagnetic ... | 0 | 1 | 0 | 0 | 0 | 0 |
The Final Chapter In The Saga Of YIG | The magnetic insulator Yttrium Iron Garnet can be grown with exceptional
quality, has a ferrimagnetic transition temperature of nearly 600 K, and is
used in microwave and spintronic devices that can operate at room temperature.
The most accurate prior measurements of the magnon spectrum date back nearly 40
years, but... | 0 | 1 | 0 | 0 | 0 | 0 |
Modeling and Analysis of HetNets with mm-Wave Multi-RAT Small Cells Deployed Along Roads | We characterize a multi tier network with classical macro cells, and multi
radio access technology (RAT) small cells, which are able to operate in
microwave and millimeter-wave (mm-wave) bands. The small cells are assumed to
be deployed along roads modeled as a Poisson line process. This
characterization is more real... | 1 | 0 | 0 | 0 | 0 | 0 |
Ermakov-Painlevé II Symmetry Reduction of a Korteweg Capillarity System | A class of nonlinear Schrödinger equations involving a triad of power law
terms together with a de Broglie-Bohm potential is shown to admit symmetry
reduction to a hybrid Ermakov-Painlevé II equation which is linked, in turn,
to the integrable Painlevé XXXIV equation. A nonlinear Schrödinger
encapsulation of a Kortew... | 0 | 1 | 1 | 0 | 0 | 0 |
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks | Matrix completion models are among the most common formulations of
recommender systems. Recent works have showed a boost of performance of these
techniques when introducing the pairwise relationships between users/items in
the form of graphs, and imposing smoothness priors on these graphs. However,
such techniques do... | 1 | 0 | 0 | 1 | 0 | 0 |
Value Asymptotics in Dynamic Games on Large Horizons | This paper is concerned with two-person dynamic zero-sum games. Let games for
some family have common dynamics, running costs and capabilities of players,
and let these games differ in densities only. We show that the Dynamic
Programming Principle directly leads to the General Tauberian Theorem---that
the existence o... | 0 | 0 | 1 | 0 | 0 | 0 |
Classical counterparts of quantum attractors in generic dissipative systems | In the context of dissipative systems, we show that for any quantum chaotic
attractor a corre- sponding classical chaotic attractor can always be found. We
provide with a general way to locate them, rooted in the structure of the
parameter space (which is typically bidimensional, accounting for the forcing
strength a... | 0 | 1 | 0 | 0 | 0 | 0 |
Marginal likelihood based model comparison in Fuzzy Bayesian Learning | In a recent paper [1] we introduced the Fuzzy Bayesian Learning (FBL)
paradigm where expert opinions can be encoded in the form of fuzzy rule bases
and the hyper-parameters of the fuzzy sets can be learned from data using a
Bayesian approach. The present paper extends this work for selecting the most
appropriate rule... | 0 | 0 | 0 | 1 | 0 | 0 |
Position-sensitive propagation of information on social media using social physics approach | The excitement and convergence of tweets on specific topics are well studied.
However, by utilizing the position information of Tweet, it is also possible to
analyze the position-sensitive tweet. In this research, we focus on bomb
terrorist attacks and propose a method for separately analyzing the number of
tweets at... | 1 | 1 | 0 | 0 | 0 | 0 |
The application of Monte Carlo methods for learning generalized linear model | Monte Carlo method is a broad class of computational algorithms that rely on
repeated random sampling to obtain numerical results. They are often used in
physical and mathematical problems and are most useful when it is difficult or
impossible to use other mathematical methods. Basically, many statisticians
have been... | 0 | 0 | 0 | 1 | 0 | 0 |
Language Bootstrapping: Learning Word Meanings From Perception-Action Association | We address the problem of bootstrapping language acquisition for an
artificial system similarly to what is observed in experiments with human
infants. Our method works by associating meanings to words in manipulation
tasks, as a robot interacts with objects and listens to verbal descriptions of
the interactions. The ... | 1 | 0 | 0 | 1 | 0 | 0 |
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