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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Statistical Latent Space Approach for Mixed Data Modelling and Applications | The analysis of mixed data has been raising challenges in statistics and
machine learning. One of two most prominent challenges is to develop new
statistical techniques and methodologies to effectively handle mixed data by
making the data less heterogeneous with minimum loss of information. The other
challenge is tha... | 1 | 0 | 0 | 1 | 0 | 0 |
Near-field coupling of gold plasmonic antennas for sub-100 nm magneto-thermal microscopy | The development of spintronic technology with increasingly dense, high-speed,
and complex devices will be accelerated by accessible microscopy techniques
capable of probing magnetic phenomena on picosecond time scales and at deeply
sub-micron length scales. A recently developed time-resolved magneto-thermal
microscop... | 0 | 1 | 0 | 0 | 0 | 0 |
A reproducible effect size is more useful than an irreproducible hypothesis test to analyze high throughput sequencing datasets | Motivation: P values derived from the null hypothesis significance testing
framework are strongly affected by sample size, and are known to be
irreproducible in underpowered studies, yet no suitable replacement has been
proposed. Results: Here we present implementations of non-parametric
standardized median effect si... | 0 | 0 | 0 | 0 | 1 | 0 |
High temperature thermodynamics of the honeycomb-lattice Kitaev-Heisenberg model: A high temperature series expansion study | We develop high temperature series expansions for the thermodynamic
properties of the honeycomb-lattice Kitaev-Heisenberg model. Numerical results
for uniform susceptibility, heat capacity and entropy as a function of
temperature for different values of the Kitaev coupling $K$ and Heisenberg
exachange coupling $J$ (w... | 0 | 1 | 0 | 0 | 0 | 0 |
Laplace Beltrami operator in the Baran metric and pluripotential equilibrium measure: the ball, the simplex and the sphere | The Baran metric $\delta_E$ is a Finsler metric on the interior of $E\subset
\R^n$ arising from Pluripotential Theory. We consider the few instances, namely
$E$ being the ball, the simplex, or the sphere, where $\delta_E$ is known to be
Riemaniann and we prove that the eigenfunctions of the associated Laplace
Beltram... | 0 | 0 | 1 | 0 | 0 | 0 |
Magnetic polarons in a nonequilibrium polariton condensate | We consider a condensate of exciton-polaritons in a diluted magnetic
semiconductor microcavity. Such system may exhibit magnetic self-trapping in
the case of sufficiently strong coupling between polaritons and magnetic ions
embedded in the semiconductor. We investigate the effect of the nonequilibrium
nature of excit... | 0 | 1 | 0 | 0 | 0 | 0 |
Inference in Sparse Graphs with Pairwise Measurements and Side Information | We consider the statistical problem of recovering a hidden "ground truth"
binary labeling for the vertices of a graph up to low Hamming error from noisy
edge and vertex measurements. We present new algorithms and a sharp
finite-sample analysis for this problem on trees and sparse graphs with poor
expansion properties... | 1 | 0 | 0 | 0 | 0 | 0 |
Oracle Importance Sampling for Stochastic Simulation Models | We consider the problem of estimating an expected outcome from a stochastic
simulation model using importance sampling. We propose a two-stage procedure
that involves a regression stage and a sampling stage to construct our
estimator. We introduce a parametric and a nonparametric regression estimator
in the first sta... | 0 | 0 | 0 | 1 | 0 | 0 |
The Generalized Cross Validation Filter | Generalized cross validation (GCV) is one of the most important approaches
used to estimate parameters in the context of inverse problems and
regularization techniques. A notable example is the determination of the
smoothness parameter in splines. When the data are generated by a state space
model, like in the spline... | 1 | 0 | 0 | 1 | 0 | 0 |
Coherence of Biochemical Oscillations is Bounded by Driving Force and Network Topology | Biochemical oscillations are prevalent in living organisms. Systems with a
small number of constituents cannot sustain coherent oscillations for an
indefinite time because of fluctuations in the period of oscillation. We show
that the number of coherent oscillations that quantifies the precision of the
oscillator is ... | 0 | 1 | 0 | 0 | 0 | 0 |
How Do Classifiers Induce Agents To Invest Effort Strategically? | Algorithms are often used to produce decision-making rules that classify or
evaluate individuals. When these individuals have incentives to be classified a
certain way, they may behave strategically to influence their outcomes. We
develop a model for how strategic agents can invest effort in order to change
the outco... | 0 | 0 | 0 | 1 | 0 | 0 |
Guiding Reinforcement Learning Exploration Using Natural Language | In this work we present a technique to use natural language to help
reinforcement learning generalize to unseen environments. This technique uses
neural machine translation, specifically the use of encoder-decoder networks,
to learn associations between natural language behavior descriptions and
state-action informat... | 1 | 0 | 0 | 1 | 0 | 0 |
Of the People: Voting Is More Effective with Representative Candidates | In light of the classic impossibility results of Arrow and Gibbard and
Satterthwaite regarding voting with ordinal rules, there has been recent
interest in characterizing how well common voting rules approximate the social
optimum. In order to quantify the quality of approximation, it is natural to
consider the candi... | 1 | 0 | 0 | 0 | 0 | 0 |
Cell Coverage Extension with Orthogonal Random Precoding for Massive MIMO Systems | In this paper, we investigate a coverage extension scheme based on orthogonal
random precoding (ORP) for the downlink of massive multiple-input
multiple-output (MIMO) systems. In this scheme, a precoding matrix consisting
of orthogonal vectors is employed at the transmitter to enhance the maximum
signal-to-interferen... | 1 | 0 | 1 | 0 | 0 | 0 |
Hidden Community Detection in Social Networks | We introduce a new paradigm that is important for community detection in the
realm of network analysis. Networks contain a set of strong, dominant
communities, which interfere with the detection of weak, natural community
structure. When most of the members of the weak communities also belong to
stronger communities,... | 1 | 1 | 0 | 1 | 0 | 0 |
Two-photon exchange correction to the hyperfine splitting in muonic hydrogen | We reevaluate the Zemach, recoil and polarizability corrections to the
hyperfine splitting in muonic hydrogen expressing them through the low-energy
proton structure constants and obtain the precise values of the Zemach radius
and two-photon exchange (TPE) contribution. The uncertainty of TPE correction
to S energy l... | 0 | 1 | 0 | 0 | 0 | 0 |
Ising Models with Latent Conditional Gaussian Variables | Ising models describe the joint probability distribution of a vector of
binary feature variables. Typically, not all the variables interact with each
other and one is interested in learning the presumably sparse network structure
of the interacting variables. However, in the presence of latent variables, the
conventi... | 1 | 0 | 0 | 1 | 0 | 0 |
Quasiparticles and charge transfer at the two surfaces of the honeycomb iridate Na$_2$IrO$_3$ | Direct experimental investigations of the low-energy electronic structure of
the Na$_2$IrO$_3$ iridate insulator are sparse and draw two conflicting
pictures. One relies on flat bands and a clear gap, the other involves
dispersive states approaching the Fermi level, pointing to surface metallicity.
Here, by a combina... | 0 | 1 | 0 | 0 | 0 | 0 |
Breaking Bivariate Records | We establish a fundamental property of bivariate Pareto records for
independent observations uniformly distributed in the unit square. We prove
that the asymptotic conditional distribution of the number of records broken by
an observation given that the observation sets a record is Geometric with
parameter 1/2.
| 0 | 0 | 1 | 1 | 0 | 0 |
A Bag-of-Paths Node Criticality Measure | This work compares several node (and network) criticality measures
quantifying to which extend each node is critical with respect to the
communication flow between nodes of the network, and introduces a new measure
based on the Bag-of-Paths (BoP) framework. Network disconnection simulation
experiments show that the n... | 1 | 1 | 0 | 0 | 0 | 0 |
Generation and analysis of lamplighter programs | We consider a programming language based on the lamplighter group that uses
only composition and iteration as control structures. We derive generating
functions and counting formulas for this language and special subsets of it,
establishing lower and upper bounds on the growth rate of semantically distinct
programs. ... | 1 | 0 | 1 | 0 | 0 | 0 |
A Projection-Based Reformulation and Decomposition Algorithm for Global Optimization of a Class of Mixed Integer Bilevel Linear Programs | We propose an extended variant of the reformulation and decomposition
algorithm for solving a special class of mixed-integer bilevel linear programs
(MIBLPs) where continuous and integer variables are involved in both upper- and
lower-level problems. In particular, we consider MIBLPs with upper-level
constraints that... | 0 | 0 | 1 | 0 | 0 | 0 |
Preduals for spaces of operators involving Hilbert spaces and trace-class operators | Continuing the study of preduals of spaces $\mathcal{L}(H,Y)$ of bounded,
linear maps, we consider the situation that $H$ is a Hilbert space. We
establish a natural correspondence between isometric preduals of
$\mathcal{L}(H,Y)$ and isometric preduals of $Y$.
The main ingredient is a Tomiyama-type result which shows ... | 0 | 0 | 1 | 0 | 0 | 0 |
Computing maximum cliques in $B_2$-EPG graphs | EPG graphs, introduced by Golumbic et al. in 2009, are edge-intersection
graphs of paths on an orthogonal grid. The class $B_k$-EPG is the subclass of
EPG graphs where the path on the grid associated to each vertex has at most $k$
bends. Epstein et al. showed in 2013 that computing a maximum clique in
$B_1$-EPG graph... | 1 | 0 | 0 | 0 | 0 | 0 |
Interactions between Health Searchers and Search Engines | The Web is an important resource for understanding and diagnosing medical
conditions. Based on exposure to online content, people may develop undue
health concerns, believing that common and benign symptoms are explained by
serious illnesses. In this paper, we investigate potential strategies to mine
queries and sear... | 1 | 0 | 0 | 0 | 0 | 0 |
Effect algebras as presheaves on finite Boolean algebras | For an effect algebra $A$, we examine the category of all morphisms from
finite Boolean algebras into $A$. This category can be described as a category
of elements of a presheaf $R(A)$ on the category of finite Boolean algebras. We
prove that some properties (being an orthoalgebra, the Riesz decomposition
property, b... | 0 | 0 | 1 | 0 | 0 | 0 |
Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices | In a previous work we have detailed the requirements to obtain a maximal
performance benefit by implementing fully connected deep neural networks (DNN)
in form of arrays of resistive devices for deep learning. This concept of
Resistive Processing Unit (RPU) devices we extend here towards convolutional
neural networks... | 1 | 0 | 0 | 1 | 0 | 0 |
Absolute versus convective helical magnetorotational instabilities in Taylor-Couette flows | We study magnetic Taylor-Couette flow in a system having nondimensional radii
$r_i=1$ and $r_o=2$, and periodic in the axial direction with wavelengths
$h\ge100$. The rotation ratio of the inner and outer cylinders is adjusted to
be slightly in the Rayleigh-stable regime, where magnetic fields are required
to destabi... | 0 | 1 | 0 | 0 | 0 | 0 |
Symmetries and multipeakon solutions for the modified two-component Camassa-Holm system | Compared with the two-component Camassa-Holm system, the modified
two-component Camassa-Holm system introduces a regularized density which makes
possible the existence of solutions of lower regularity, and in particular of
multipeakon solutions. In this paper, we derive a new pointwise invariant for
the modified two-... | 0 | 0 | 1 | 0 | 0 | 0 |
Selection of quasi-stationary states in the Navier-Stokes equation on the torus | The two dimensional incompressible Navier-Stokes equation on $D_\delta := [0,
2\pi\delta] \times [0, 2\pi]$ with $\delta \approx 1$, periodic boundary
conditions, and viscosity $0 < \nu \ll 1$ is considered. Bars and dipoles, two
explicitly given quasi-stationary states of the system, evolve on the time
scale $\mathc... | 0 | 0 | 1 | 0 | 0 | 0 |
Geometric Enclosing Networks | Training model to generate data has increasingly attracted research attention
and become important in modern world applications. We propose in this paper a
new geometry-based optimization approach to address this problem. Orthogonal to
current state-of-the-art density-based approaches, most notably VAE and GAN, we
pr... | 1 | 0 | 0 | 1 | 0 | 0 |
A pliable lasso for the Cox model | We introduce a pliable lasso method for estimation of interaction effects in
the Cox proportional hazards model framework. The pliable lasso is a linear
model that includes interactions between covariates X and a set of modifying
variables Z and assumes sparsity of the main effects and interaction effects.
The hierar... | 0 | 0 | 0 | 1 | 0 | 0 |
Localized magnetic moments with tunable spin exchange in a gas of ultracold fermions | We report on the experimental realization of a state-dependent lattice for a
two-orbital fermionic quantum gas with strong interorbital spin exchange. In
our state-dependent lattice, the ground and metastable excited electronic
states of $^{173}$Yb take the roles of itinerant and localized magnetic
moments, respectiv... | 0 | 1 | 0 | 0 | 0 | 0 |
Khintchine's Theorem with random fractions | We prove versions of Khintchine's Theorem (1924) for approximations by
rational numbers whose numerators lie in randomly chosen sets of integers, and
we explore the extent to which the monotonicity assumption can be removed.
Roughly speaking, we show that if the number of available fractions for each
denominator grow... | 0 | 0 | 1 | 0 | 0 | 0 |
A Method of Generating Random Weights and Biases in Feedforward Neural Networks with Random Hidden Nodes | Neural networks with random hidden nodes have gained increasing interest from
researchers and practical applications. This is due to their unique features
such as very fast training and universal approximation property. In these
networks the weights and biases of hidden nodes determining the nonlinear
feature mapping... | 1 | 0 | 0 | 1 | 0 | 0 |
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification | Artificial neural networks have been successfully applied to a variety of
machine learning tasks, including image recognition, semantic segmentation, and
machine translation. However, few studies fully investigated ensembles of
artificial neural networks. In this work, we investigated multiple widely used
ensemble me... | 1 | 0 | 0 | 1 | 0 | 0 |
Representation of big data by dimension reduction | Suppose the data consist of a set $S$ of points $x_j, 1 \leq j \leq J$,
distributed in a bounded domain $D \subset R^N$, where $N$ and $J$ are large
numbers. In this paper an algorithm is proposed for checking whether there
exists a manifold $\mathbb{M}$ of low dimension near which many of the points
of $S$ lie and f... | 1 | 0 | 0 | 1 | 0 | 0 |
Out-degree reducing partitions of digraphs | Let $k$ be a fixed integer. We determine the complexity of finding a
$p$-partition $(V_1, \dots, V_p)$ of the vertex set of a given digraph such
that the maximum out-degree of each of the digraphs induced by $V_i$, ($1\leq
i\leq p$) is at least $k$ smaller than the maximum out-degree of $D$. We show
that this problem... | 1 | 0 | 0 | 0 | 0 | 0 |
Introduction to Plasma Physics | These notes are intended to provide a brief primer in plasma physics,
introducing common definitions, basic properties, and typical processes found
in plasmas. These concepts are inherent in contemporary plasma-based
accelerator schemes, and thus provide a foundation for the more advanced
expositions that follow in t... | 0 | 1 | 0 | 0 | 0 | 0 |
Presymplectic convexity and (ir)rational polytopes | In this paper, we extend the Atiyah--Guillemin--Sternberg convexity theorem
and Delzant's classification of symplectic toric manifolds to presymplectic
manifolds. We also define and study the Morita equivalence of presymplectic
toric manifolds and of their corresponding framed momentum polytopes, which may
be rationa... | 0 | 0 | 1 | 0 | 0 | 0 |
Unsupervised Learning of Mixture Regression Models for Longitudinal Data | This paper is concerned with learning of mixture regression models for
individuals that are measured repeatedly. The adjective "unsupervised" implies
that the number of mixing components is unknown and has to be determined,
ideally by data driven tools. For this purpose, a novel penalized method is
proposed to simult... | 0 | 0 | 0 | 1 | 0 | 0 |
Anomalous electron states | By the certain macroscopic perturbations in condensed matter anomalous
electron wells can be formed due to a local reduction of electromagnetic zero
point energy. These wells are narrow, of the width $\sim 10^{-11}cm$, and with
the depth $\sim 1MeV$. Such anomalous states, from the formal standpoint of
quantum mechan... | 0 | 1 | 0 | 0 | 0 | 0 |
Theoretical calculation of the fine-structure constant and the permittivity of the vacuum | Light traveling through the vacuum interacts with virtual particles similarly
to the way that light traveling through a dielectric interacts with ordinary
matter. And just as the permittivity of a dielectric can be calculated, the
permittivity $\epsilon_0$ of the vacuum can be calculated, yielding an equation
for the... | 0 | 1 | 0 | 0 | 0 | 0 |
LEADER: fast estimates of asteroid shape elongation and spin latitude distributions from scarce photometry | Many asteroid databases with lightcurve brightness measurements (e.g. WISE,
Pan-STARRS1) contain enormous amounts of data for asteroid shape and spin
modelling. While lightcurve inversion is not plausible for individual targets
with scarce data, it is possible for large populations with thousands of
asteroids, where ... | 0 | 1 | 0 | 0 | 0 | 0 |
Calibrated Projection in MATLAB: Users' Manual | We present the calibrated-projection MATLAB package implementing the method
to construct confidence intervals proposed by Kaido, Molinari and Stoye (2017).
This manual provides details on how to use the package for inference on
projections of partially identified parameters. It also explains how to use the
MATLAB fun... | 0 | 0 | 0 | 1 | 0 | 0 |
Atomic Clock Measurements of Quantum Scattering Phase Shifts Spanning Feshbach Resonances at Ultralow Fields | We use an atomic fountain clock to measure quantum scattering phase shifts
precisely through a series of narrow, low-field Feshbach resonances at average
collision energies below $1\,\mu$K. Our low spread in collision energy yields
phase variations of order $\pm \pi/2$ for target atoms in several $F,m_F$
states. We c... | 0 | 1 | 0 | 0 | 0 | 0 |
Temporal processing and context dependency in C. elegans mechanosensation | A quantitative understanding of how sensory signals are transformed into
motor outputs places useful constraints on brain function and helps reveal the
brain's underlying computations. We investigate how the nematode C. elegans
responds to time-varying mechanosensory signals using a high-throughput
optogenetic assay ... | 0 | 0 | 0 | 0 | 1 | 0 |
On the putative essential discreteness of q-generalized entropies | It has been argued in [EPL {\bf 90} (2010) 50004], entitled {\it Essential
discreteness in generalized thermostatistics with non-logarithmic entropy},
that "continuous Hamiltonian systems with long-range interactions and the
so-called q-Gaussian momentum distributions are seen to be outside the scope of
non-extensive... | 0 | 1 | 0 | 0 | 0 | 0 |
Spin Distribution of Primordial Black Holes | We estimate the spin distribution of primordial black holes based on the
recent study of the critical phenomena in the gravitational collapse of a
rotating radiation fluid. We find that primordial black holes are mostly slowly
rotating.
| 0 | 1 | 0 | 0 | 0 | 0 |
Automated flow for compressing convolution neural networks for efficient edge-computation with FPGA | Deep convolutional neural networks (CNN) based solutions are the current
state- of-the-art for computer vision tasks. Due to the large size of these
models, they are typically run on clusters of CPUs or GPUs. However, power
requirements and cost budgets can be a major hindrance in adoption of CNN for
IoT applications... | 1 | 0 | 0 | 0 | 0 | 0 |
Pulse rate estimation using imaging photoplethysmography: generic framework and comparison of methods on a publicly available dataset | Objective: to establish an algorithmic framework and a benchmark dataset for
comparing methods of pulse rate estimation using imaging photoplethysmography
(iPPG). Approach: first we reveal essential steps of pulse rate estimation from
facial video and review methods applied at each of the steps. Then we
investigate p... | 0 | 1 | 0 | 0 | 0 | 0 |
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution | Convolutional neural networks have recently demonstrated high-quality
reconstruction for single-image super-resolution. In this paper, we propose the
Laplacian Pyramid Super-Resolution Network (LapSRN) to progressively
reconstruct the sub-band residuals of high-resolution images. At each pyramid
level, our model take... | 1 | 0 | 0 | 0 | 0 | 0 |
Foundation for a series of efficient simulation algorithms | Compute the coarsest simulation preorder included in an initial preorder is
used to reduce the resources needed to analyze a given transition system. This
technique is applied on many models like Kripke structures, labeled graphs,
labeled transition systems or even word and tree automata. Let (Q,
$\rightarrow$) be a ... | 1 | 0 | 0 | 0 | 0 | 0 |
A Review of Macroscopic Motion in Thermodynamic Equilibrium | A principle on the macroscopic motion of systems in thermodynamic
equilibrium, rarely discussed in texts, is reviewed: Very small but still
macroscopic parts of a fully isolated system in thermal equilibrium move as if
points of a rigid body, macroscopic energy being dissipated to increase
internal energy, and increa... | 0 | 1 | 0 | 0 | 0 | 0 |
Emergent electronic structure of CaFe2As2 | CaFe2As2 exhibits collapsed tetragonal (cT) structure and varied exotic
behavior under pressure at low temperatures that led to debate on linking the
structural changes to its exceptional electronic properties like
superconductivity, magnetism, etc. Here, we investigate the electronic
structure of CaFe2As2 forming in... | 0 | 1 | 0 | 0 | 0 | 0 |
Lord Kelvin's method of images approach to the Rotenberg model and its asymptotics | We study a mathematical model of cell populations dynamics proposed by M.
Rotenberg and investigated by M. Boulanouar. Here, a cell is characterized by
her maturity and speed of maturation. The growth of cell populations is
described by a partial differential equation with a boundary condition. In the
first part of t... | 0 | 0 | 1 | 0 | 0 | 0 |
Study of the Magnetizing Relationship of the Kickers for CSNS | The extraction system of CSNS mainly consists of two kinds of magnets: eight
kickers and one lambertson magnet. In this paper, firstly, the magnetic test
results of the eight kickers were introduced and then the filed uniformity and
magnetizing relationship of the kickers were given. Secondly, during the beam
commiss... | 0 | 1 | 0 | 0 | 0 | 0 |
Smart "Predict, then Optimize" | Many real-world analytics problems involve two significant challenges:
prediction and optimization. Due to the typically complex nature of each
challenge, the standard paradigm is to predict, then optimize. By and large,
machine learning tools are intended to minimize prediction error and do not
account for how the p... | 1 | 0 | 0 | 1 | 0 | 0 |
U-SLADS: Unsupervised Learning Approach for Dynamic Dendrite Sampling | Novel data acquisition schemes have been an emerging need for scanning
microscopy based imaging techniques to reduce the time in data acquisition and
to minimize probing radiation in sample exposure. Varies sparse sampling
schemes have been studied and are ideally suited for such applications where
the images can be ... | 0 | 0 | 0 | 1 | 0 | 0 |
On a registration-based approach to sensor network localization | We consider a registration-based approach for localizing sensor networks from
range measurements. This is based on the assumption that one can find
overlapping cliques spanning the network. That is, for each sensor, one can
identify geometric neighbors for which all inter-sensor ranges are known. Such
cliques can be ... | 1 | 0 | 1 | 0 | 0 | 0 |
Density estimation on small datasets | How might a smooth probability distribution be estimated, with accurately
quantified uncertainty, from a limited amount of sampled data? Here we describe
a field-theoretic approach that addresses this problem remarkably well in one
dimension, providing an exact nonparametric Bayesian posterior without relying
on tuna... | 1 | 0 | 0 | 0 | 1 | 0 |
Generalized Euler classes, differential forms and commutative DGAs | In the context of commutative differential graded algebras over $\mathbb Q$,
we show that an iteration of "odd spherical fibration" creates a "total space"
commutative differential graded algebra with only odd degree cohomology. Then
we show for such a commutative differential graded algebra that, for any of its
"fib... | 0 | 0 | 1 | 0 | 0 | 0 |
Episodic memory for continual model learning | Both the human brain and artificial learning agents operating in real-world
or comparably complex environments are faced with the challenge of online model
selection. In principle this challenge can be overcome: hierarchical Bayesian
inference provides a principled method for model selection and it converges on
the s... | 1 | 0 | 0 | 1 | 0 | 0 |
Security Trust Zone in 5G Networks | Fifth Generation (5G) telecommunication system is going to deliver a flexible
radio access network (RAN). Security functions such as authorization,
authentication and accounting (AAA) are expected to be distributed from central
clouds to edge clouds. We propose a novel architectural security solution that
applies to ... | 1 | 0 | 0 | 0 | 0 | 0 |
Upper-Bounding the Regularization Constant for Convex Sparse Signal Reconstruction | Consider reconstructing a signal $x$ by minimizing a weighted sum of a convex
differentiable negative log-likelihood (NLL) (data-fidelity) term and a convex
regularization term that imposes a convex-set constraint on $x$ and enforces
its sparsity using $\ell_1$-norm analysis regularization. We compute upper
bounds on... | 0 | 0 | 1 | 1 | 0 | 0 |
On the Privacy of the Opal Data Release: A Response | This document is a response to a report from the University of Melbourne on
the privacy of the Opal dataset release. The Opal dataset was released by
Data61 (CSIRO) in conjunction with the Transport for New South Wales (TfNSW).
The data consists of two separate weeks of "tap-on/tap-off" data of individuals
who used a... | 1 | 0 | 0 | 0 | 0 | 0 |
Long time behavior of Gross-Pitaevskii equation at positive temperature | The stochastic Gross-Pitaevskii equation is used as a model to describe
Bose-Einstein condensation at positive temperature. The equation is a complex
Ginzburg Landau equation with a trapping potential and an additive space-time
white noise. Two important questions for this system are the global existence
of solutions... | 0 | 0 | 1 | 0 | 0 | 0 |
Isomorphism and Morita equivalence classes for crossed products of irrational rotation algebras by cyclic subgroups of $SL_2(\mathbb{Z})$ | Let $\theta, \theta'$ be irrational numbers and $A, B$ be matrices in
$SL_2(\mathbb{Z})$ of infinite order. We compute the $K$-theory of the crossed
product $\mathcal{A}_{\theta}\rtimes_A \mathbb{Z}$ and show that
$\mathcal{A}_{\theta} \rtimes_A\mathbb{Z}$ and $\mathcal{A}_{\theta'} \rtimes_B
\mathbb{Z}$ are $*$-isom... | 0 | 0 | 1 | 0 | 0 | 0 |
Model Predictive Control for Distributed Microgrid Battery Energy Storage Systems | This paper proposes a new convex model predictive control strategy for
dynamic optimal power flow between battery energy storage systems distributed
in an AC microgrid. The proposed control strategy uses a new problem
formulation, based on a linear d-q reference frame voltage-current model and
linearised power flow a... | 1 | 0 | 0 | 0 | 0 | 0 |
On noncommutative geometry of the Standard Model: fermion multiplet as internal forms | We unveil the geometric nature of the multiplet of fundamental fermions in
the Standard Model of fundamental particles as a noncommutative analogue of de
Rham forms on the internal finite quantum space.
| 0 | 0 | 1 | 0 | 0 | 0 |
A Review of Dynamic Network Models with Latent Variables | We present a selective review of statistical modeling of dynamic networks. We
focus on models with latent variables, specifically, the latent space models
and the latent class models (or stochastic blockmodels), which investigate both
the observed features and the unobserved structure of networks. We begin with
an ov... | 0 | 0 | 0 | 1 | 0 | 0 |
LevelHeaded: Making Worst-Case Optimal Joins Work in the Common Case | Pipelines combining SQL-style business intelligence (BI) queries and linear
algebra (LA) are becoming increasingly common in industry. As a result, there
is a growing need to unify these workloads in a single framework.
Unfortunately, existing solutions either sacrifice the inherent benefits of
exclusively using a re... | 1 | 0 | 0 | 0 | 0 | 0 |
Few-shot learning of neural networks from scratch by pseudo example optimization | In this paper, we propose a simple but effective method for training neural
networks with a limited amount of training data. Our approach inherits the idea
of knowledge distillation that transfers knowledge from a deep or wide
reference model to a shallow or narrow target model. The proposed method
employs this idea ... | 0 | 0 | 0 | 1 | 0 | 0 |
Identities and congruences involving the Fubini polynomials | In this paper, we investigate the umbral representation of the Fubini
polynomials $F_{x}^{n}:=F_{n}(x)$ to derive some properties involving these
polynomials. For any prime number $p$ and any polynomial $f$ with integer
coefficients, we show $(f(F_{x}))^{p}\equiv f(F_{x})$ and we give other curious
congruences.
| 0 | 0 | 1 | 0 | 0 | 0 |
Introduction to Delay Models and Their Wave Solutions | In this paper, a brief review of delay population models and their
applications in ecology is provided. The inclusion of diffusion and nonlocality
terms in delay models has given more capabilities to these models enabling them
to capture several ecological phenomena such as the Allee effect, waves of
invasive species... | 0 | 0 | 1 | 0 | 0 | 0 |
On Dummett's Pragmatist Justification Procedure | I show that propositional intuitionistic logic is complete with respect to an
adaptation of Dummett's pragmatist justification procedure. In particular,
given a pragmatist justification of an argument, I show how to obtain a natural
deduction derivation of the conclusion of the argument from, at most, the same
assump... | 0 | 0 | 1 | 0 | 0 | 0 |
Evidence for a radiatively driven disc-wind in PDS 456? | We present a newly discovered correlation between the wind outflow velocity
and the X-ray luminosity in the luminous ($L_{\rm bol}\sim10^{47}\,\rm
erg\,s^{-1}$) nearby ($z=0.184$) quasar PDS\,456. All the contemporary
XMM-Newton, NuSTAR and Suzaku observations from 2001--2014 were revisited and
we find that the centr... | 0 | 1 | 0 | 0 | 0 | 0 |
From a normal insulator to a topological insulator in plumbene | Plumbene, similar to silicene, has a buckled honeycomb structure with a large
band gap ($\sim 400$ meV). All previous studies have shown that it is a normal
insulator. Here, we perform first-principles calculations and employ a
sixteen-band tight-binding model with nearest-neighbor and
next-nearest-neighbor hopping t... | 0 | 1 | 0 | 0 | 0 | 0 |
High-sensitivity Kinetic Inductance Detectors for CALDER | Providing a background discrimination tool is crucial for enhancing the
sensitivity of next-generation experiments searching for neutrinoless double-
beta decay. The development of high-sensitivity (< 20 eV RMS) cryogenic light
detectors allows simultaneous read-out of the light and heat signals and
enables backgroun... | 0 | 1 | 0 | 0 | 0 | 0 |
Bounding the composition length of primitive permutation groups and completely reducible linear groups | We obtain upper bounds on the composition length of a finite permutation
group in terms of the degree and the number of orbits, and analogous bounds for
primitive, quasiprimitive and semiprimitive groups. Similarly, we obtain upper
bounds on the composition length of a finite completely reducible linear group
in term... | 0 | 0 | 1 | 0 | 0 | 0 |
A Bernstein Inequality For Spatial Lattice Processes | In this article we present a Bernstein inequality for sums of random
variables which are defined on a spatial lattice structure. The inequality can
be used to derive concentration inequalities. It can be useful to obtain
consistency properties for nonparametric estimators of conditional expectation
functions.
| 0 | 0 | 1 | 1 | 0 | 0 |
An Exploration of Approaches to Integrating Neural Reranking Models in Multi-Stage Ranking Architectures | We explore different approaches to integrating a simple convolutional neural
network (CNN) with the Lucene search engine in a multi-stage ranking
architecture. Our models are trained using the PyTorch deep learning toolkit,
which is implemented in C/C++ with a Python frontend. One obvious integration
strategy is to e... | 1 | 0 | 0 | 0 | 0 | 0 |
Dispersive Regimes of the Dicke Model | We study two dispersive regimes in the dynamics of $N$ two-level atoms
interacting with a bosonic mode for long interaction times. Firstly, we analyze
the dispersive multiqubit quantum Rabi model for the regime in which the qubit
frequencies are equal and smaller than the mode frequency, and for values of
the couplin... | 0 | 1 | 0 | 0 | 0 | 0 |
ZebraLancer: Crowdsource Knowledge atop Open Blockchain, Privately and Anonymously | We design and implement the first private and anonymous decentralized
crowdsourcing system ZebraLancer. It realizes the fair exchange (i.e. security
against malicious workers and dishonest requesters) without using any
third-party arbiter. More importantly, it overcomes two fundamental challenges
of decentralization,... | 1 | 0 | 0 | 0 | 0 | 0 |
Fast, Better Training Trick -- Random Gradient | In this paper, we will show an unprecedented method to accelerate training
and improve performance, which called random gradient (RG). This method can be
easier to the training of any model without extra calculation cost, we use
Image classification, Semantic segmentation, and GANs to confirm this method
can improve ... | 0 | 0 | 0 | 1 | 0 | 0 |
Expressions of Sentiments During Code Reviews: Male vs. Female | Background: As most of the software development organizations are
male-dominated, female developers encountering various negative workplace
experiences reported feeling like they "do not belong". Exposures to
discriminatory expletives or negative critiques from their male colleagues may
further exacerbate those feeli... | 1 | 0 | 0 | 0 | 0 | 0 |
Monotonicity patterns and functional inequalities for classical and generalized Wright functions | In this paper our aim is to present the completely monotonicity and convexity
properties for the Wright function. As consequences of these results, we
present some functional inequalities. Moreover, we derive the monotonicity and
log-convexity results for the generalized Wright functions. As applications, we
present ... | 0 | 0 | 1 | 0 | 0 | 0 |
Multiple VLAD encoding of CNNs for image classification | Despite the effectiveness of convolutional neural networks (CNNs) especially
in image classification tasks, the effect of convolution features on learned
representations is still limited. It mostly focuses on the salient object of
the images, but ignores the variation information on clutter and local. In this
paper, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Index of Dirac operators and classification of topological insulators | Real and complex Clifford bundles and Dirac operators defined on them are
considered. By using the index theorems of Dirac operators, table of
topological invariants is constructed from the Clifford chessboard. Through the
relations between K-theory groups, Grothendieck groups and symmetric spaces,
the periodic table... | 0 | 1 | 0 | 0 | 0 | 0 |
Centroid vetting of transiting planet candidates from the Next Generation Transit Survey | The Next Generation Transit Survey (NGTS), operating in Paranal since 2016,
is a wide-field survey to detect Neptunes and super-Earths transiting bright
stars, which are suitable for precise radial velocity follow-up and
characterisation. Thereby, its sub-mmag photometric precision and ability to
identify false posit... | 0 | 1 | 0 | 0 | 0 | 0 |
Galaxy And Mass Assembly: the evolution of the cosmic spectral energy distribution from z = 1 to z = 0 | We present the evolution of the Cosmic Spectral Energy Distribution (CSED)
from $z = 1 - 0$. Our CSEDs originate from stacking individual spectral energy
distribution fits based on panchromatic photometry from the Galaxy and Mass
Assembly (GAMA) and COSMOS datasets in ten redshift intervals with completeness
correcti... | 0 | 1 | 0 | 0 | 0 | 0 |
Large sums of Hecke eigenvalues of holomorphic cusp forms | Let $f$ be a Hecke cusp form of weight $k$ for the full modular group, and
let $\{\lambda_f(n)\}_{n\geq 1}$ be the sequence of its normalized Fourier
coefficients. Motivated by the problem of the first sign change of
$\lambda_f(n)$, we investigate the range of $x$ (in terms of $k$) for which
there are cancellations i... | 0 | 0 | 1 | 0 | 0 | 0 |
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples | Recent studies have highlighted the vulnerability of deep neural networks
(DNNs) to adversarial examples - a visually indistinguishable adversarial image
can easily be crafted to cause a well-trained model to misclassify. Existing
methods for crafting adversarial examples are based on $L_2$ and $L_\infty$
distortion ... | 1 | 0 | 0 | 1 | 0 | 0 |
Playtime Measurement with Survival Analysis | Maximizing product use is a central goal of many businesses, which makes
retention and monetization two central analytics metrics in games. Player
retention may refer to various duration variables quantifying product use:
total playtime or session playtime are popular research targets, and active
playtime is well-sui... | 1 | 0 | 0 | 1 | 0 | 0 |
Asymptotic formula of the number of Newton polygons | In this paper, we enumerate Newton polygons asymptotically. The number of
Newton polygons is computable by a simple recurrence equation, but unexpectedly
the asymptotic formula of its logarithm contains growing oscillatory terms. As
the terms come from non-trivial zeros of the Riemann zeta function, an
estimation of ... | 0 | 0 | 1 | 0 | 0 | 0 |
Invariant-based inverse engineering of crane control parameters | By applying invariant-based inverse engineering in the small-oscillations
regime, we design the time dependence of the control parameters of an overhead
crane (trolley displacement and rope length), to transport a load between two
positions at different heights with minimal final energy excitation for a
microcanonica... | 0 | 1 | 0 | 0 | 0 | 0 |
Leaf Space Isometries of Singular Riemannian Foliations and Their Spectral Properties | In this paper, the authors consider leaf spaces of singular Riemannian
foliations $\mathcal{F}$ on compact manifolds $M$ and the associated
$\mathcal{F}$-basic spectrum on $M$, $spec_B(M, \mathcal{F}),$ counted with
multiplicities. Recently, a notion of smooth isometry $\varphi:
M_1/\mathcal{F}_1\rightarrow M_2/\math... | 0 | 0 | 1 | 0 | 0 | 0 |
Backward Monte-Carlo applied to muon transport | We discuss a backward Monte-Carlo technique for muon transport problem, with
emphasis on its application in muography. Backward Monte-Carlo allows exclusive
sampling of a final state by reversing the simulation flow. In practice it can
be made analogous to an adjoint Monte-Carlo, though it is more versatile for
muon ... | 0 | 1 | 0 | 0 | 0 | 0 |
Functional importance of noise in neuronal information processing | Noise is an inherent part of neuronal dynamics, and thus of the brain. It can
be observed in neuronal activity at different spatiotemporal scales, including
in neuronal membrane potentials, local field potentials,
electroencephalography, and magnetoencephalography. A central research topic in
contemporary neuroscienc... | 0 | 0 | 0 | 0 | 1 | 0 |
Stochastic Variance Reduction Methods for Policy Evaluation | Policy evaluation is a crucial step in many reinforcement-learning
procedures, which estimates a value function that predicts states' long-term
value under a given policy. In this paper, we focus on policy evaluation with
linear function approximation over a fixed dataset. We first transform the
empirical policy eval... | 1 | 0 | 1 | 1 | 0 | 0 |
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