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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Vector valued maximal Carleson type operators on the weighted Lorentz spaces | In this paper, by using the idea of linearizing maximal op-erators originated
by Charles Fefferman and the TT* method of Stein-Wainger, we establish a
weighted inequality for vector valued maximal Carleson type operators with
singular kernels proposed by Andersen and John on the weighted Lorentz spaces
with vector-va... | 0 | 0 | 1 | 0 | 0 | 0 |
Rigidity of square-tiled interval exchange transformations | We look at interval exchange transformations defined as first return maps on
the set of diagonals of a flow of direction $\theta$ on a square-tiled surface:
using a combinatorial approach, we show that, when the surface has at least one
true singularity both the flow and the interval exchange are rigid if and only
if... | 0 | 0 | 1 | 0 | 0 | 0 |
Global Marcinkiewicz estimates for nonlinear parabolic equations with nonsmooth coefficients | Consider the parabolic equation with measure data \begin{equation*} \left\{
\begin{aligned} &u_t-{\rm div} \mathbf{a}(D u,x,t)=\mu&\text{in}& \quad
\Omega_T, &u=0 \quad &\text{on}& \quad \partial_p\Omega_T, \end{aligned}\right.
\end{equation*} where $\Omega$ is a bounded domain in $\mathbb{R}^n$,
$\Omega_T=\Omega\tim... | 0 | 0 | 1 | 0 | 0 | 0 |
Can Who-Edits-What Predict Edit Survival? | As the number of contributors to online peer-production systems grows, it
becomes increasingly important to predict whether the edits that users make
will eventually be beneficial to the project. Existing solutions either rely on
a user reputation system or consist of a highly specialized predictor that is
tailored t... | 1 | 0 | 0 | 1 | 0 | 0 |
Introduction to intelligent computing unit 1 | This brief note highlights some basic concepts required toward understanding
the evolution of machine learning and deep learning models. The note starts
with an overview of artificial intelligence and its relationship to biological
neuron that ultimately led to the evolution of todays intelligent models.
| 1 | 0 | 0 | 1 | 0 | 0 |
Spatial heterogeneities shape collective behavior of signaling amoeboid cells | We present novel experimental results on pattern formation of signaling
Dictyostelium discoideum amoeba in the presence of a periodic array of
millimeter-sized pillars. We observe concentric cAMP waves that initiate almost
synchronously at the pillars and propagate outwards. These waves have higher
frequency than the... | 0 | 0 | 0 | 0 | 1 | 0 |
Yamabe Solitons on three-dimensional normal almost paracontact metric manifolds | The purpose of the paper is to study Yamabe solitons on three-dimensional
para-Sasakian, paracosymplectic and para-Kenmotsu manifolds. Mainly, we proved
that *If the semi-Riemannian metric of a three-dimensional para-Sasakian
manifold is a Yamabe soliton, then it is of constant scalar curvature, and the
flow vector f... | 0 | 0 | 1 | 0 | 0 | 0 |
Clustering and Hitting Times of Threshold Exceedances and Applications | We investigate exceedances of the process over a sufficiently high threshold.
The exceedances determine the risk of hazardous events like climate
catastrophes, huge insurance claims, the loss and delay in telecommunication
networks.
Due to dependence such exceedances tend to occur in clusters. The cluster
structure o... | 0 | 0 | 1 | 1 | 0 | 0 |
Classification of Local Field Potentials using Gaussian Sequence Model | A problem of classification of local field potentials (LFPs), recorded from
the prefrontal cortex of a macaque monkey, is considered. An adult macaque
monkey is trained to perform a memory-based saccade. The objective is to decode
the eye movement goals from the LFP collected during a memory period. The LFP
classific... | 0 | 0 | 0 | 1 | 0 | 0 |
A few explicit examples of complex dynamics of inertia groups on surfaces - a question of Professor Igor Dolgachev | We give a few explicit examples which answer an open minded question of
Professor Igor Dolgachev on complex dynamics of the inertia group of a smooth
rational curve on a projective K3 surface and its variants for a rational
surface and a non-projective K3 surface.
| 0 | 0 | 1 | 0 | 0 | 0 |
Ancestral inference from haplotypes and mutations | We consider inference about the history of a sample of DNA sequences,
conditional upon the haplotype counts and the number of segregating sites
observed at the present time. After deriving some theoretical results in the
coalescent setting, we implement rejection sampling and importance sampling
schemes to perform th... | 0 | 0 | 1 | 1 | 0 | 0 |
Ellipsoid Method for Linear Programming made simple | In this paper, ellipsoid method for linear programming is derived using only
minimal knowledge of algebra and matrices. Unfortunately, most authors first
describe the algorithm, then later prove its correctness, which requires a good
knowledge of linear algebra.
| 1 | 0 | 0 | 0 | 0 | 0 |
Collective strong coupling of cold atoms to an all-fiber ring cavity | We experimentally demonstrate a ring geometry all-fiber cavity system for
cavity quantum electrodynamics with an ensemble of cold atoms. The fiber cavity
contains a nanofiber section which mediates atom-light interactions through an
evanescent field. We observe well-resolved, vacuum Rabi splitting of the cavity
trans... | 0 | 1 | 0 | 0 | 0 | 0 |
Robust Model-Based Clustering of Voting Records | We explore the possibility of discovering extreme voting patterns in the U.S.
Congressional voting records by drawing ideas from the mixture of contaminated
normal distributions. A mixture of latent trait models via contaminated normal
distributions is proposed. We assume that the low dimensional continuous latent
va... | 0 | 0 | 0 | 1 | 0 | 0 |
The Quest for Solvable Multistate Landau-Zener Models | Recently, integrability conditions (ICs) in mutistate Landau-Zener (MLZ)
theory were proposed [1]. They describe common properties of all known solved
systems with linearly time-dependent Hamiltonians. Here we show that ICs enable
efficient computer assisted search for new solvable MLZ models that span
complexity ran... | 0 | 1 | 1 | 0 | 0 | 0 |
Bayesian Inference of the Multi-Period Optimal Portfolio for an Exponential Utility | We consider the estimation of the multi-period optimal portfolio obtained by
maximizing an exponential utility. Employing Jeffreys' non-informative prior
and the conjugate informative prior, we derive stochastic representations for
the optimal portfolio weights at each time point of portfolio reallocation.
This provi... | 0 | 0 | 1 | 1 | 0 | 0 |
Reconstructing the gravitational field of the local universe | Tests of gravity at the galaxy scale are in their infancy. As a first step to
systematically uncovering the gravitational significance of galaxies, we map
three fundamental gravitational variables -- the Newtonian potential,
acceleration and curvature -- over the galaxy environments of the local
universe to a distanc... | 0 | 1 | 0 | 0 | 0 | 0 |
Hierarchical organization of H. Eugene Stanley scientific collaboration community in weighted network representation | By mapping the most advanced elements of the contemporary social
interactions, the world scientific collaboration network develops an extremely
involved and heterogeneous organization. Selected characteristics of this
heterogeneity are studied here and identified by focusing on the scientific
collaboration community ... | 1 | 1 | 0 | 0 | 0 | 0 |
Rational links and DT invariants of quivers | We prove that the generating functions for the colored HOMFLY-PT polynomials
of rational links are specializations of the generating functions of the
motivic Donaldson-Thomas invariants of appropriate quivers that we naturally
associate with these links. This shows that the conjectural links-quivers
correspondence of... | 0 | 0 | 1 | 0 | 0 | 0 |
G2-structures for N=1 supersymmetric AdS4 solutions of M-theory | We study the N=1 supersymmetric solutions of D=11 supergravity obtained as a
warped product of four-dimensional anti-de-Sitter space with a
seven-dimensional Riemannian manifold M. Using the octonion bundle structure on
M we reformulate the Killing spinor equations in terms of sections of the
octonion bundle on M. Th... | 0 | 0 | 1 | 0 | 0 | 0 |
A Neural Stochastic Volatility Model | In this paper, we show that the recent integration of statistical models with
deep recurrent neural networks provides a new way of formulating volatility
(the degree of variation of time series) models that have been widely used in
time series analysis and prediction in finance. The model comprises a pair of
compleme... | 1 | 0 | 0 | 1 | 0 | 0 |
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds | This paper proposes a segmentation-free, automatic and efficient procedure to
detect general geometric quadric forms in point clouds, where clutter and
occlusions are inevitable. Our everyday world is dominated by man-made objects
which are designed using 3D primitives (such as planes, cones, spheres,
cylinders, etc.... | 1 | 0 | 0 | 0 | 0 | 0 |
Mass-to-Light versus Color Relations for Dwarf Irregular Galaxies | We have determined new relations between $UBV$ colors and mass-to-light
ratios ($M/L$) for dwarf irregular (dIrr) galaxies, as well as for transformed
$g^\prime - r^\prime$. These $M/L$ to color relations (MLCRs) are based on
stellar mass density profiles determined for 34 LITTLE THINGS dwarfs from
spectral energy di... | 0 | 1 | 0 | 0 | 0 | 0 |
Insight into High-order Harmonic Generation from Solids: The Contributions of the Bloch Wave-packets Moving on the Group and Phase Velocities | We study numerically the Bloch electron wavepacket dynamics in periodic
potentials to simulate laser-solid interactions. We introduce a new perspective
in the coordinate space combined with the motion of the Bloch electron
wavepackets moving at group and phase velocities under the laser fields. This
model interprets ... | 0 | 1 | 0 | 0 | 0 | 0 |
Using deterministic approximations to accelerate SMC for posterior sampling | Sequential Monte Carlo has become a standard tool for Bayesian Inference of
complex models. This approach can be computationally demanding, especially when
initialized from the prior distribution. On the other hand, deter-ministic
approximations of the posterior distribution are often available with no
theoretical gu... | 0 | 0 | 0 | 1 | 0 | 0 |
Evaluating (and improving) the correspondence between deep neural networks and human representations | Decades of psychological research have been aimed at modeling how people
learn features and categories. The empirical validation of these theories is
often based on artificial stimuli with simple representations. Recently, deep
neural networks have reached or surpassed human accuracy on tasks such as
identifying obje... | 1 | 0 | 0 | 0 | 0 | 0 |
An approach to nonsolvable base change and descent | We present a collection of conjectural trace identities and explain why they
are equivalent to base change and descent of automorphic representations of
$\mathrm{GL}_n(\mathbb{A}_F)$ along nonsolvable extensions (under some
simplifying hypotheses). The case $n=2$ is treated in more detail and
applications towards the... | 0 | 0 | 1 | 0 | 0 | 0 |
Towards Attack-Tolerant Networks: Concurrent Multipath Routing and the Butterfly Network | Targeted attacks against network infrastructure are notoriously difficult to
guard against. In the case of communication networks, such attacks can leave
users vulnerable to censorship and surveillance, even when cryptography is
used. Much of the existing work on network fault-tolerance focuses on random
faults and d... | 1 | 0 | 0 | 0 | 0 | 0 |
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making | Reinforcement learning and symbolic planning have both been used to build
intelligent autonomous agents. Reinforcement learning relies on learning from
interactions with real world, which often requires an unfeasibly large amount
of experience. Symbolic planning relies on manually crafted symbolic knowledge,
which ma... | 0 | 0 | 0 | 1 | 0 | 0 |
Structure of Native Two-dimensional Oxides on III--Nitride Surfaces | When pristine material surfaces are exposed to air, highly reactive broken
bonds can promote the formation of surface oxides with structures and
properties differing greatly from bulk. Determination of the oxide structure,
however, is often elusive through the use of indirect diffraction methods or
techniques that pr... | 0 | 1 | 0 | 0 | 0 | 0 |
Hydrodynamic charge and heat transport on inhomogeneous curved spaces | We develop the theory of hydrodynamic charge and heat transport in strongly
interacting quasi-relativistic systems on manifolds with inhomogeneous spatial
curvature. In solid-state physics, this is analogous to strain disorder in the
underlying lattice. In the hydrodynamic limit, we find that the thermal and
electric... | 0 | 1 | 0 | 0 | 0 | 0 |
Simulation assisted machine learning | Predicting how a proposed cancer treatment will affect a given tumor can be
cast as a machine learning problem, but the complexity of biological systems,
the number of potentially relevant genomic and clinical features, and the lack
of very large scale patient data repositories make this a unique challenge.
"Pure dat... | 0 | 0 | 0 | 1 | 1 | 0 |
Rechargeable redox flow batteries: Maximum current density with electrolyte flow reactant penetration in a serpentine flow structure | Rechargeable redox flow batteries with serpentine flow field designs have
been demonstrated to deliver higher current density and power density in medium
and large-scale stationary energy storage applications. Nevertheless, the
fundamental mechanisms involved with improved current density in flow batteries
with flow ... | 0 | 1 | 0 | 0 | 0 | 0 |
Open problems in mathematical physics | We present a list of open questions in mathematical physics. After a
historical introduction, a number of problems in a variety of different fields
are discussed, with the intention of giving an overall impression of the
current status of mathematical physics, particularly in the topical fields of
classical general r... | 0 | 1 | 1 | 0 | 0 | 0 |
Stochastic Bandit Models for Delayed Conversions | Online advertising and product recommendation are important domains of
applications for multi-armed bandit methods. In these fields, the reward that
is immediately available is most often only a proxy for the actual outcome of
interest, which we refer to as a conversion. For instance, in web advertising,
clicks can b... | 1 | 0 | 0 | 0 | 0 | 0 |
Fitting Analysis using Differential Evolution Optimization (FADO): Spectral population synthesis through genetic optimization under self-consistency boundary conditions | The goal of population spectral synthesis (PSS) is to decipher from the
spectrum of a galaxy the mass, age and metallicity of its constituent stellar
populations. This technique has been established as a fundamental tool in
extragalactic research. It has been extensively applied to large spectroscopic
data sets, nota... | 0 | 1 | 0 | 0 | 0 | 0 |
A Combinatoric Shortcut to Evaluate CHY-forms | In \cite{Chen:2016fgi} we proposed a differential operator for the evaluation
of the multi-dimensional residues on isolated (zero-dimensional) poles.In this
paper we discuss some new insight on evaluating the (generalized)
Cachazo-He-Yuan (CHY) forms of the scattering amplitudes using this
differential operator. We i... | 0 | 0 | 1 | 0 | 0 | 0 |
ART: adaptive residual--time restarting for Krylov subspace matrix exponential evaluations | In this paper a new restarting method for Krylov subspace matrix exponential
evaluations is proposed. Since our restarting technique essentially employs the
residual, some convergence results for the residual are given. We also discuss
how the restart length can be adjusted after each restart cycle, which leads to
an... | 1 | 0 | 0 | 0 | 0 | 0 |
Nil extensions of simple regular ordered semigroup | In this paper, nil extensions of some special type of ordered semigroups,
such as, simple regular ordered semigroups, left simple and right regular
ordered semigroup. Moreover, we have characterized complete semilattice
decomposition of all ordered semigroups which are nil extension of ordered
semigroup.
| 0 | 0 | 1 | 0 | 0 | 0 |
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings | We examine a class of embeddings based on structured random matrices with
orthogonal rows which can be applied in many machine learning applications
including dimensionality reduction and kernel approximation. For both the
Johnson-Lindenstrauss transform and the angular kernel, we show that we can
select matrices yie... | 0 | 0 | 0 | 1 | 0 | 0 |
The Bayesian optimist's guide to adaptive immune receptor repertoire analysis | Probabilistic modeling is fundamental to the statistical analysis of complex
data. In addition to forming a coherent description of the data-generating
process, probabilistic models enable parameter inference about given data sets.
This procedure is well-developed in the Bayesian perspective, in which one
infers prob... | 0 | 0 | 0 | 0 | 1 | 0 |
Predictive Indexing | There has been considerable research on automated index tuning in database
management systems (DBMSs). But the majority of these solutions tune the index
configuration by retrospectively making computationally expensive physical
design changes all at once. Such changes degrade the DBMS's performance during
the proces... | 1 | 0 | 0 | 0 | 0 | 0 |
Making Deep Q-learning methods robust to time discretization | Despite remarkable successes, Deep Reinforcement Learning (DRL) is not robust
to hyperparameterization, implementation details, or small environment changes
(Henderson et al. 2017, Zhang et al. 2018). Overcoming such sensitivity is key
to making DRL applicable to real world problems. In this paper, we identify
sensit... | 1 | 0 | 0 | 1 | 0 | 0 |
Anomalous current in diffusive ferromagnetic Josephson junctions | We demonstrate that in diffusive superconductor/ferromagnet/superconductor
(S/F/S) junctions a finite, {\it anomalous}, Josephson current can flow even at
zero phase difference between the S electrodes. The conditions for the
observation of this effect are non-coplanar magnetization distribution and a
broken magnetiz... | 0 | 1 | 0 | 0 | 0 | 0 |
Rate Optimal Estimation and Confidence Intervals for High-dimensional Regression with Missing Covariates | Although a majority of the theoretical literature in high-dimensional
statistics has focused on settings which involve fully-observed data, settings
with missing values and corruptions are common in practice. We consider the
problems of estimation and of constructing component-wise confidence intervals
in a sparse hi... | 0 | 0 | 0 | 1 | 0 | 0 |
Applications of an algorithm for solving Fredholm equations of the first kind | In this paper we use an iterative algorithm for solving Fredholm equations of
the first kind. The basic algorithm is known and is based on an EM algorithm
when involved functions are non-negative and integrable. With this algorithm we
demonstrate two examples involving the estimation of a mixing density and a
first p... | 0 | 0 | 1 | 1 | 0 | 0 |
Fully symmetric kernel quadrature | Kernel quadratures and other kernel-based approximation methods typically
suffer from prohibitive cubic time and quadratic space complexity in the number
of function evaluations. The problem arises because a system of linear
equations needs to be solved. In this article we show that the weights of a
kernel quadrature... | 1 | 0 | 1 | 1 | 0 | 0 |
Conditional Accelerated Lazy Stochastic Gradient Descent | In this work we introduce a conditional accelerated lazy stochastic gradient
descent algorithm with optimal number of calls to a stochastic first-order
oracle and convergence rate $O\left(\frac{1}{\varepsilon^2}\right)$ improving
over the projection-free, Online Frank-Wolfe based stochastic gradient descent
of Hazan ... | 1 | 0 | 0 | 1 | 0 | 0 |
MMD GAN: Towards Deeper Understanding of Moment Matching Network | Generative moment matching network (GMMN) is a deep generative model that
differs from Generative Adversarial Network (GAN) by replacing the
discriminator in GAN with a two-sample test based on kernel maximum mean
discrepancy (MMD). Although some theoretical guarantees of MMD have been
studied, the empirical performa... | 1 | 0 | 0 | 1 | 0 | 0 |
Multipartite entanglement after a quantum quench | We study the multipartite entanglement of a quantum many-body system
undergoing a quantum quench. We quantify multipartite entanglement through the
quantum Fisher information (QFI) density and we are able to express it after a
quench in terms of a generalized response function. For pure state initial
conditions and i... | 0 | 1 | 0 | 0 | 0 | 0 |
Thermal properties of graphene from path-integral simulations | Thermal properties of graphene monolayers are studied by path-integral
molecular dynamics (PIMD) simulations, which take into account the quantization
of vibrational modes in the crystalline membrane, and allow one to consider
anharmonic effects in these properties. This system was studied at temperatures
in the rang... | 0 | 1 | 0 | 0 | 0 | 0 |
Measuring Affectiveness and Effectiveness in Software Systems | The summary presented in this paper highlights the results obtained in a
four-years project aiming at analyzing the development process of software
artifacts from two points of view: Effectiveness and Affectiveness. The first
attribute is meant to analyze the productivity of the Open Source Communities
by measuring t... | 1 | 0 | 0 | 0 | 0 | 0 |
Intertangled stochastic motifs in networks of excitatory-inhibitory units | A stochastic model of excitatory and inhibitory interactions which bears
universality traits is introduced and studied. The endogenous component of
noise, stemming from finite size corrections, drives robust inter-nodes
correlations, that persist at large large distances. Anti-phase synchrony at
small frequencies is ... | 0 | 1 | 0 | 0 | 0 | 0 |
Accurate Computation of the Distribution of Sums of Dependent Log-Normals with Applications to the Black-Scholes Model | We present a new Monte Carlo methodology for the accurate estimation of the
distribution of the sum of dependent log-normal random variables. The
methodology delivers statistically unbiased estimators for three distributional
quantities of significant interest in finance and risk management: the left
tail, or cumulat... | 0 | 0 | 0 | 1 | 0 | 0 |
The complete unitary dual of non-compact Lie superalgebra su(p,q|m) via the generalised oscillator formalism, and non-compact Young diagrams | We study the unitary representations of the non-compact real forms of the
complex Lie superalgebra sl(n|m). Among them, only the real form su(p,q|m)
(p+q=n) admits nontrivial unitary representations, and all such representations
are of the highest-weight type (or the lowest-weight type). We extend the
standard oscill... | 0 | 0 | 1 | 0 | 0 | 0 |
DeepPainter: Painter Classification Using Deep Convolutional Autoencoders | In this paper we describe the problem of painter classification, and propose
a novel approach based on deep convolutional autoencoder neural networks. While
previous approaches relied on image processing and manual feature extraction
from paintings, our approach operates on the raw pixel level, without any
preprocess... | 1 | 0 | 0 | 1 | 0 | 0 |
Sharp gradient estimate for heat kernels on $RCD^*(K,N)$ metric measure spaces | In this paper, we will establish an elliptic local Li-Yau gradient estimate
for weak solutions of the heat equation on metric measure spaces with
generalized Ricci curvature bounded from below. One of its main applications is
a sharp gradient estimate for the logarithm of heat kernels. These results seem
new even for... | 0 | 0 | 1 | 0 | 0 | 0 |
Thermodynamic properties of diatomic molecules systems under anharmonic Eckart potential | Due to one of the most representative contributions to the energy in diatomic
molecules being the vibrational, we consider the generalized Morse potential
(GMP) as one of the typical potential of interaction for one-dimensional
microscopic systems, which describes local anharmonic effects. From Eckart
potential (EP) ... | 0 | 1 | 0 | 0 | 0 | 0 |
Effects of ultrasound waves intensity on the removal of Congo red color from the textile industry wastewater by Fe3O4@TiO2 core-shell nanospheres | Environmental pollutants, such as colors from the textile industry, affect
water quality indicators like color, smell, and taste. These substances in the
water cause the obstruction of filters and membranes and thereby reduce the
efficiency of advanced water treatment processes. In addition, they are harmful
to human... | 0 | 1 | 0 | 0 | 0 | 0 |
Enumeration of Tree-like Maps with Arbitrary Number of Vertices | This paper provides the generating series for the embedding of tree-like
graphs of arbitrary number of vertices, accourding to their genus. It applies
and extends the techniques of Chan, where it was used to give an alternate
proof of the Goulden and Slofstra formula. Furthermore, this greatly
generalizes the famous ... | 0 | 0 | 1 | 0 | 0 | 0 |
Depth resolved chemical speciation of a superlattice structure | We report results of simultaneous x-ray reflectivity and grazing incidence
x-ray fluorescence measurements in combination with x-ray standing wave
assisted depth resolved near edge x-ray absorption measurements to reveal new
insights on chemical speciation of W in a W-B4C superlattice structure.
Interestingly, our re... | 0 | 1 | 0 | 0 | 0 | 0 |
Optospintronics in graphene via proximity coupling | The observation of micron size spin relaxation makes graphene a promising
material for applications in spintronics requiring long distance spin
communication. However, spin dependent scatterings at the contact/graphene
interfaces affect the spin injection efficiencies and hence prevent the
material from achieving its... | 0 | 1 | 0 | 0 | 0 | 0 |
Control strategy to limit duty cycle impact of earthquakes on the LIGO gravitational-wave detectors | Advanced gravitational-wave detectors such as the Laser Interferometer
Gravitational-Wave Observatories (LIGO) require an unprecedented level of
isolation from the ground. When in operation, they are expected to observe
changes in the space-time continuum of less than one thousandth of the diameter
of a proton. Stron... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO | The design of spacecraft trajectories for missions visiting multiple
celestial bodies is here framed as a multi-objective bilevel optimization
problem. A comparative study is performed to assess the performance of
different Beam Search algorithms at tackling the combinatorial problem of
finding the ideal sequence of ... | 1 | 1 | 0 | 0 | 0 | 0 |
Types and unitary representations of reductive p-adic groups | We prove that for every Bushnell-Kutzko type that satisfies a certain
rigidity assumption, the equivalence of categories between the corresponding
Bernstein component and the category of modules for the Hecke algebra of the
type induces a bijection between irreducible unitary representations in the two
categories. Th... | 0 | 0 | 1 | 0 | 0 | 0 |
Average values of L-functions in even characteristic | Let $k = \mathbb{F}_{q}(T)$ be the rational function field over a finite
field $\mathbb{F}_{q}$, where $q$ is a power of $2$. In this paper we solve the
problem of averaging the quadratic $L$-functions $L(s, \chi_{u})$ over
fundamental discriminants. Any separable quadratic extension $K$ of $k$ is of
the form $K = k(... | 0 | 0 | 1 | 0 | 0 | 0 |
Decoupled molecules with binding polynomials of bidegree (n,2) | We present a result on the number of decoupled molecules for systems binding
two different types of ligands. In the case of $n$ and $2$ binding sites
respectively, we show that, generically, there are $2(n!)^{2}$ decoupled
molecules with the same binding polynomial. For molecules with more binding
sites for the secon... | 1 | 1 | 0 | 0 | 0 | 0 |
Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization | Learning to remember long sequences remains a challenging task for recurrent
neural networks. Register memory and attention mechanisms were both proposed to
resolve the issue with either high computational cost to retain memory
differentiability, or by discounting the RNN representation learning towards
encoding shor... | 1 | 0 | 0 | 1 | 0 | 0 |
McDiarmid Drift Detection Methods for Evolving Data Streams | Increasingly, Internet of Things (IoT) domains, such as sensor networks,
smart cities, and social networks, generate vast amounts of data. Such data are
not only unbounded and rapidly evolving. Rather, the content thereof
dynamically evolves over time, often in unforeseen ways. These variations are
due to so-called c... | 1 | 0 | 0 | 1 | 0 | 0 |
Yield in Amorphous Solids: The Ant in the Energy Landscape Labyrinth | It has recently been shown that yield in amorphous solids under oscillatory
shear is a dynamical transition from asymptotically periodic to asymptotically
chaotic, diffusive dynamics. However, the type and universality class of this
transition are still undecided. Here we show that the diffusive behavior of the
vecto... | 0 | 1 | 0 | 0 | 0 | 0 |
Statistical methods in astronomy | We present a review of data types and statistical methods often encountered
in astronomy. The aim is to provide an introduction to statistical applications
in astronomy for statisticians and computer scientists. We highlight the
complex, often hierarchical, nature of many astronomy inference problems and
advocate for... | 0 | 1 | 0 | 1 | 0 | 0 |
A note on some algebraic trapdoors for block ciphers | We provide sufficient conditions to guarantee that a translation based cipher
is not vulnerable with respect to the partition-based trapdoor. This trapdoor
has been introduced, recently, by Bannier et al. (2016) and it generalizes that
introduced by Paterson in 1999. Moreover, we discuss the fact that studying the
gr... | 1 | 0 | 1 | 0 | 0 | 0 |
Bi-Demographic Changes and Current Account using SVAR Modeling | The paper, as a new contribution, aims to explore the impacts of
bi-demographic structure on the current account and growth. By using a SVAR
modeling, we track the dynamic impacts between the underlying variables of the
Saudi economy. New insights have been developed to study the interrelations
between population gro... | 0 | 0 | 0 | 0 | 0 | 1 |
Supervised Machine Learning for Signals Having RRC Shaped Pulses | Classification performances of the supervised machine learning techniques
such as support vector machines, neural networks and logistic regression are
compared for modulation recognition purposes. The simple and robust features
are used to distinguish continuous-phase FSK from QAM-PSK signals. Signals
having root-rai... | 1 | 0 | 0 | 0 | 0 | 0 |
End-to-End Optimized Transmission over Dispersive Intensity-Modulated Channels Using Bidirectional Recurrent Neural Networks | We propose an autoencoding sequence-based transceiver for communication over
dispersive channels with intensity modulation and direct detection (IM/DD),
designed as a bidirectional deep recurrent neural network (BRNN). The receiver
uses a sliding window technique to allow for efficient data stream estimation.
We find... | 1 | 0 | 0 | 1 | 0 | 0 |
Effective difference elimination and Nullstellensatz | We prove effective Nullstellensatz and elimination theorems for difference
equations in sequence rings. More precisely, we compute an explicit function of
geometric quantities associated to a system of difference equations (and these
geometric quantities may themselves be bounded by a function of the number of
variab... | 0 | 0 | 1 | 0 | 0 | 0 |
A note on primitive $1-$normal elements over finite fields | Let $q$ be a prime power of a prime $p$, $n$ a positive integer and $\mathbb
F_{q^n}$ the finite field with $q^n$ elements. The $k-$normal elements over
finite fields were introduced and characterized by Huczynska et al (2013).
Under the condition that $n$ is not divisible by $p$, they obtained an
existence result on... | 0 | 0 | 1 | 0 | 0 | 0 |
Sparse Coding Predicts Optic Flow Specificities of Zebrafish Pretectal Neurons | Zebrafish pretectal neurons exhibit specificities for large-field optic flow
patterns associated with rotatory or translatory body motion. We investigate
the hypothesis that these specificities reflect the input statistics of natural
optic flow. Realistic motion sequences were generated using computer graphics
simula... | 0 | 0 | 0 | 0 | 1 | 0 |
Revisiting the problem of audio-based hit song prediction using convolutional neural networks | Being able to predict whether a song can be a hit has impor- tant
applications in the music industry. Although it is true that the popularity of
a song can be greatly affected by exter- nal factors such as social and
commercial influences, to which degree audio features computed from musical
signals (whom we regard a... | 1 | 0 | 0 | 1 | 0 | 0 |
Natural Language Multitasking: Analyzing and Improving Syntactic Saliency of Hidden Representations | We train multi-task autoencoders on linguistic tasks and analyze the learned
hidden sentence representations. The representations change significantly when
translation and part-of-speech decoders are added. The more decoders a model
employs, the better it clusters sentences according to their syntactic
similarity, as... | 0 | 0 | 0 | 1 | 0 | 0 |
Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data | Time series forecasting is a crucial component of many important
applications, ranging from forecasting the stock markets to energy load
prediction. The high-dimensionality, velocity and variety of the data collected
in these applications pose significant and unique challenges that must be
carefully addressed for eac... | 1 | 0 | 0 | 1 | 0 | 1 |
Extended Bose Hubbard model for two leg ladder systems in artificial magnetic fields | We investigate the ground state properties of ultracold atoms with long range
interactions trapped in a two leg ladder configuration in the presence of an
artificial magnetic field. Using a Gross-Pitaevskii approach and a mean field
Gutzwiller variational method, we explore both the weakly interacting and
strongly in... | 0 | 1 | 0 | 0 | 0 | 0 |
Insensitivity of The Distance Ladder Hubble Constant Determination to Cepheid Calibration Modeling Choices | Recent determination of the Hubble constant via Cepheid-calibrated supernovae
by \citet{riess_2.4_2016} (R16) find $\sim 3\sigma$ tension with inferences
based on cosmic microwave background temperature and polarization measurements
from $Planck$. This tension could be an indication of inadequacies in the
concordance... | 0 | 1 | 0 | 0 | 0 | 0 |
Phrase-based Image Captioning with Hierarchical LSTM Model | Automatic generation of caption to describe the content of an image has been
gaining a lot of research interests recently, where most of the existing works
treat the image caption as pure sequential data. Natural language, however
possess a temporal hierarchy structure, with complex dependencies between each
subseque... | 1 | 0 | 0 | 0 | 0 | 0 |
The three-dimensional structure of swirl-switching in bent pipe flow | Swirl-switching is a low-frequency oscillatory phenomenon which affects the
Dean vortices in bent pipes and may cause fatigue in piping systems. Despite
thirty years worth of research, the mechanism that causes these oscillations
and the frequencies that characterise them remain unclear. Here we show that a
three-dim... | 0 | 1 | 0 | 0 | 0 | 0 |
InfoVAE: Information Maximizing Variational Autoencoders | A key advance in learning generative models is the use of amortized inference
distributions that are jointly trained with the models. We find that existing
training objectives for variational autoencoders can lead to inaccurate
amortized inference distributions and, in some cases, improving the objective
provably deg... | 1 | 0 | 0 | 1 | 0 | 0 |
Between-class Learning for Image Classification | In this paper, we propose a novel learning method for image classification
called Between-Class learning (BC learning). We generate between-class images
by mixing two images belonging to different classes with a random ratio. We
then input the mixed image to the model and train the model to output the
mixing ratio. B... | 1 | 0 | 0 | 1 | 0 | 0 |
Girsanov reweighting for path ensembles and Markov state models | The sensitivity of molecular dynamics on changes in the potential energy
function plays an important role in understanding the dynamics and function of
complex molecules.We present a method to obtain path ensemble averages of a
perturbed dynamics from a set of paths generated by a reference dynamics. It is
based on t... | 0 | 1 | 0 | 0 | 0 | 0 |
Coordination of multi-agent systems via asynchronous cloud communication | In this work we study a multi-agent coordination problem in which agents are
only able to communicate with each other intermittently through a cloud server.
To reduce the amount of required communication, we develop a self-triggered
algorithm that allows agents to communicate with the cloud only when necessary
rather... | 1 | 0 | 1 | 0 | 0 | 0 |
PatternListener: Cracking Android Pattern Lock Using Acoustic Signals | Pattern lock has been widely used for authentication to protect user privacy
on mobile devices (e.g., smartphones and tablets). Given its pervasive usage,
the compromise of pattern lock could lead to serious consequences. Several
attacks have been constructed to crack the lock. However, these approaches
require the a... | 1 | 0 | 0 | 0 | 0 | 0 |
Marginal Release Under Local Differential Privacy | Many analysis and machine learning tasks require the availability of marginal
statistics on multidimensional datasets while providing strong privacy
guarantees for the data subjects. Applications for these statistics range from
finding correlations in the data to fitting sophisticated prediction models. In
this paper... | 1 | 0 | 0 | 0 | 0 | 0 |
A possible flyby anomaly for Juno at Jupiter | In the last decades there have been an increasing interest in improving the
accuracy of spacecraft navigation and trajectory data. In the course of this
plan some anomalies have been found that cannot, in principle, be explained in
the context of the most accurate orbital models including all known effects
from class... | 0 | 1 | 0 | 0 | 0 | 0 |
Crossover between various initial conditions in KPZ growth: flat to stationary | We conjecture the universal probability distribution at large time for the
one-point height in the 1D Kardar-Parisi-Zhang (KPZ) stochastic growth
universality class, with initial conditions interpolating from any one of the
three main classes (droplet, flat, stationary) on the left, to another on the
right, allowing ... | 0 | 1 | 1 | 0 | 0 | 0 |
Multimodel Response Assessment for Monthly Rainfall Distribution in Some Selected Indian Cities Using Best Fit Probability as a Tool | We carry out a study of the statistical distribution of rainfall
precipitation data for 20 cites in India. We have determined the best-fit
probability distribution for these cities from the monthly precipitation data
spanning 100 years of observations from 1901 to 2002. To fit the observed data,
we considered 10 diff... | 0 | 1 | 0 | 1 | 0 | 0 |
Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing | Bin Packing problems have been widely studied because of their broad
applications in different domains. Known as a set of NP-hard problems, they
have different vari- ations and many heuristics have been proposed for
obtaining approximate solutions. Specifically, for the 1D variable sized bin
packing problem, the two ... | 1 | 0 | 0 | 1 | 0 | 0 |
Surges of collective human activity emerge from simple pairwise correlations | Human populations exhibit complex behaviors---characterized by long-range
correlations and surges in activity---across a range of social, political, and
technological contexts. Yet it remains unclear where these collective behaviors
come from, or if there even exists a set of unifying principles. Indeed,
existing exp... | 1 | 0 | 0 | 0 | 0 | 0 |
Semantically Enhanced Dynamic Bayesian Network for Detecting Sepsis Mortality Risk in ICU Patients with Infection | Although timely sepsis diagnosis and prompt interventions in Intensive Care
Unit (ICU) patients are associated with reduced mortality, early clinical
recognition is frequently impeded by non-specific signs of infection and
failure to detect signs of sepsis-induced organ dysfunction in a constellation
of dynamically c... | 0 | 0 | 0 | 1 | 0 | 0 |
Hölder regularity of viscosity solutions of some fully nonlinear equations in the Heisenberg group | In this paper we prove the Hölder regularity of bounded, uniformly
continuous, viscosity solutions of some degenerate fully nonlinear equations in
the Heisenberg group.
| 0 | 0 | 1 | 0 | 0 | 0 |
Normal form for transverse instability of the line soliton with a nearly critical speed of propagation | There exists a critical speed of propagation of the line solitons in the
Zakharov-Kuznetsov (ZK) equation such that small transversely periodic
perturbations are unstable for line solitons with larger-than-critical speeds
and orbitally stable for those with smaller-than-critical speeds. The normal
form for transverse... | 0 | 1 | 1 | 0 | 0 | 0 |
The CLaC Discourse Parser at CoNLL-2016 | This paper describes our submission "CLaC" to the CoNLL-2016 shared task on
shallow discourse parsing. We used two complementary approaches for the task. A
standard machine learning approach for the parsing of explicit relations, and a
deep learning approach for non-explicit relations. Overall, our parser achieves
an... | 1 | 0 | 0 | 0 | 0 | 0 |
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