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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J0906+6930: a radio-loud quasar in the early Universe | Radio-loud high-redshift quasars (HRQs), although only a few of them are
known to date, are crucial for the studies of the growth of supermassive black
holes (SMBHs) and the evolution of active galactic nuclei (AGN) at early
cosmological epochs. Radio jets offer direct evidence of SMBHs, and their radio
structures ca... | 0 | 1 | 0 | 0 | 0 | 0 |
Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields | This work investigates the training of conditional random fields (CRFs) via
the stochastic dual coordinate ascent (SDCA) algorithm of Shalev-Shwartz and
Zhang (2016). SDCA enjoys a linear convergence rate and a strong empirical
performance for binary classification problems. However, it has never been used
to train C... | 1 | 0 | 0 | 1 | 0 | 0 |
Accelerating Innovation Through Analogy Mining | The availability of large idea repositories (e.g., the U.S. patent database)
could significantly accelerate innovation and discovery by providing people
with inspiration from solutions to analogous problems. However, finding useful
analogies in these large, messy, real-world repositories remains a persistent
challeng... | 1 | 0 | 0 | 1 | 0 | 0 |
$η$-Ricci solitons in $(\varepsilon)$-almost paracontact metric manifolds | The object of this paper is to study $\eta$-Ricci solitons on
$(\varepsilon)$-almost paracontact metric manifolds. We investigate
$\eta$-Ricci solitons in the case when its potential vector field is exactly
the characteristic vector field $\xi$ of the $(\varepsilon)$-almost paracontact
metric manifold and when the po... | 0 | 0 | 1 | 0 | 0 | 0 |
Entropy facilitated active transport | We show how active transport of ions can be interpreted as an entropy
facilitated process. In this interpretation, the pore geometry through which
substrates are transported can give rise to a driving force. This gives a
direct link between the geometry and the changes in Gibbs energy required.
Quantifying the size o... | 0 | 1 | 0 | 0 | 0 | 0 |
Consistency of the Predicative Calculus of Cumulative Inductive Constructions (pCuIC) | In order to avoid well-know paradoxes associated with self-referential
definitions, higher-order dependent type theories stratify the theory using a
countably infinite hierarchy of universes (also known as sorts), Type$_0$ :
Type$_1$ : $\cdots$ . Such type systems are called cumulative if for any type
$A$ we have tha... | 1 | 0 | 0 | 0 | 0 | 0 |
Private Information Retrieval from MDS Coded Data with Colluding Servers: Settling a Conjecture by Freij-Hollanti et al. | A $(K, N, T, K_c)$ instance of the MDS-TPIR problem is comprised of $K$
messages and $N$ distributed servers. Each message is separately encoded
through a $(K_c, N)$ MDS storage code. A user wishes to retrieve one message,
as efficiently as possible, while revealing no information about the desired
message index to a... | 1 | 0 | 0 | 0 | 0 | 0 |
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation | Deep Neural Networks (DNNs) and Convolutional Neural Networks (CNNs) are
useful for many practical tasks in machine learning. Synaptic weights, as well
as neuron activation functions within the deep network are typically stored
with high-precision formats, e.g. 32 bit floating point. However, since storage
capacity i... | 1 | 0 | 0 | 0 | 0 | 0 |
Graph Attention Networks | We present graph attention networks (GATs), novel neural network
architectures that operate on graph-structured data, leveraging masked
self-attentional layers to address the shortcomings of prior methods based on
graph convolutions or their approximations. By stacking layers in which nodes
are able to attend over th... | 1 | 0 | 0 | 1 | 0 | 0 |
Social Media Would Not Lie: Prediction of the 2016 Taiwan Election via Online Heterogeneous Data | The prevalence of online media has attracted researchers from various domains
to explore human behavior and make interesting predictions. In this research,
we leverage heterogeneous social media data collected from various online
platforms to predict Taiwan's 2016 presidential election. In contrast to most
existing r... | 1 | 0 | 0 | 1 | 0 | 0 |
The stratified micro-randomized trial design: sample size considerations for testing nested causal effects of time-varying treatments | Technological advancements in the field of mobile devices and wearable
sensors have helped overcome obstacles in the delivery of care, making it
possible to deliver behavioral treatments anytime and anywhere. Increasingly
the delivery of these treatments is triggered by predictions of risk or
engagement which may hav... | 0 | 0 | 0 | 1 | 0 | 0 |
Multiplicative Convolution of Real Asymmetric and Real Antisymmetric Matrices | The singular values of products of standard complex Gaussian random matrices,
or sub-blocks of Haar distributed unitary matrices, have the property that
their probability distribution has an explicit, structured form referred to as
a polynomial ensemble. It is furthermore the case that the corresponding
bi-orthogonal... | 0 | 0 | 1 | 0 | 0 | 0 |
An approach to Griffiths conjecture | The Griffiths conjecture asserts that every ample vector bundle $E$ over a
compact complex manifold $S$ admits a hermitian metric with positive curvature
in the sense of Griffiths. In this article we give a sufficient condition for a
positive hermitian metric on $\mathcal{O}_{\mathbb{P}(E^*)}(1)$ to induce a
Griffith... | 0 | 0 | 1 | 0 | 0 | 0 |
On Detecting Adversarial Perturbations | Machine learning and deep learning in particular has advanced tremendously on
perceptual tasks in recent years. However, it remains vulnerable against
adversarial perturbations of the input that have been crafted specifically to
fool the system while being quasi-imperceptible to a human. In this work, we
propose to a... | 1 | 0 | 0 | 1 | 0 | 0 |
It's Time to Consider "Time" when Evaluating Recommender-System Algorithms [Proposal] | In this position paper, we question the current practice of calculating
evaluation metrics for recommender systems as single numbers (e.g. precision
p=.28 or mean absolute error MAE = 1.21). We argue that single numbers express
only average effectiveness over a usually rather long period (e.g. a year or
even longer),... | 1 | 0 | 0 | 0 | 0 | 0 |
Anomalous metals -- failed superconductors | The observation of metallic ground states in a variety of two-dimensional
electronic systems poses a fundamental challenge for the theory of electron
fluids. Here, we analyze evidence for the existence of a regime, which we call
the "anomalous metal regime," in diverse 2D superconducting systems driven
through a quan... | 0 | 1 | 0 | 0 | 0 | 0 |
Energy Optimization of Automatic Hybrid Sailboat | Autonomous Surface Vehicles (ASVs) provide an effective way to actualize
applications such as environment monitoring, search and rescue, and scientific
researches. However, the conventional ASVs depends overly on the stored energy.
Hybrid Sailboat, mainly powered by the wind, can solve this problem by using an
auxili... | 1 | 0 | 0 | 0 | 0 | 0 |
Estimating the Operating Characteristics of Ensemble Methods | In this paper we present a technique for using the bootstrap to estimate the
operating characteristics and their variability for certain types of ensemble
methods. Bootstrapping a model can require a huge amount of work if the
training data set is large. Fortunately in many cases the technique lets us
determine the e... | 0 | 0 | 0 | 1 | 0 | 0 |
Plasma turbulence at ion scales: a comparison between PIC and Eulerian hybrid-kinetic approaches | Kinetic-range turbulence in magnetized plasmas and, in particular, in the
context of solar-wind turbulence has been extensively investigated over the
past decades via numerical simulations. Among others, one of the widely adopted
reduced plasma model is the so-called hybrid-kinetic model, where the ions are
fully kin... | 0 | 1 | 0 | 0 | 0 | 0 |
Computational determination of the largest lattice polytope diameter | A lattice (d, k)-polytope is the convex hull of a set of points in dimension
d whose coordinates are integers between 0 and k. Let {\delta}(d, k) be the
largest diameter over all lattice (d, k)-polytopes. We develop a computational
framework to determine {\delta}(d, k) for small instances. We show that
{\delta}(3, 4)... | 1 | 0 | 0 | 0 | 0 | 0 |
A high resolution ion microscope for cold atoms | We report on an ion-optical system that serves as a microscope for ultracold
ground state and Rydberg atoms. The system is designed to achieve a
magnification of up to 1000 and a spatial resolution in the 100 nm range,
thereby surpassing many standard imaging techniques for cold atoms. The
microscope consists of four... | 0 | 1 | 0 | 0 | 0 | 0 |
Lock-Free Parallel Perceptron for Graph-based Dependency Parsing | Dependency parsing is an important NLP task. A popular approach for
dependency parsing is structured perceptron. Still, graph-based dependency
parsing has the time complexity of $O(n^3)$, and it suffers from slow training.
To deal with this problem, we propose a parallel algorithm called parallel
perceptron. The para... | 1 | 0 | 0 | 0 | 0 | 0 |
Finite groups with systems of $K$-$\frak{F}$-subnormal subgroups | Let $\frak {F}$ be a class of group. A subgroup $A$ of a finite group $G$ is
said to be $K$-$\mathfrak{F}$-subnormal in $G$ if there is a subgroup chain
$$A=A_{0} \leq A_{1} \leq \cdots \leq A_{n}=G$$ such that either $A_{i-1}
\trianglelefteq A_{i}$ or $A_{i}/(A_{i-1})_{A_{i}} \in \mathfrak{F}$ for all
$i=1, \ldots ,... | 0 | 0 | 1 | 0 | 0 | 0 |
Actions Speak Louder Than Goals: Valuing Player Actions in Soccer | Assessing the impact of the individual actions performed by soccer players
during games is a crucial aspect of the player recruitment process.
Unfortunately, most traditional metrics fall short in addressing this task as
they either focus on rare events like shots and goals alone or fail to account
for the context in... | 0 | 0 | 0 | 1 | 0 | 0 |
Partitioning the Outburst Energy of a Low Eddington Accretion Rate AGN at the Center of an Elliptical Galaxy: the Recent 12 Myr History of the Supermassive Black Hole in M87 | M87, the active galaxy at the center of the Virgo cluster, is ideal for
studying the interaction of a supermassive black hole (SMBH) with a hot,
gas-rich environment. A deep Chandra observation of M87 exhibits an
approximately circular shock front (13 kpc radius, in projection) driven by the
expansion of the central ... | 0 | 1 | 0 | 0 | 0 | 0 |
On the missing link between pressure drop, viscous dissipation, and the turbulent energy spectrum | After decades of experimental, theoretical, and numerical research in fluid
dynamics, many aspects of turbulence remain poorly understood. The main reason
for this is often attributed to the multiscale nature of turbulent flows, which
poses a formidable challenge. There are, however, properties of these flows
whose r... | 0 | 1 | 0 | 0 | 0 | 0 |
Discrete Local Induction Equation | The local induction equation, or the binormal flow on space curves is a
well-known model of deformation of space curves as it describes the dynamics of
vortex filaments, and the complex curvature is governed by the nonlinear
Schrödinger equation. In this paper, we present its discrete analogue,
namely, a model of def... | 0 | 1 | 1 | 0 | 0 | 0 |
A sharp lower bound for the lifespan of small solutions to the Schrödinger equation with a subcritical power nonlinearity | Let $T_{\epsilon}$ be the lifespan for the solution to the Schrödinger
equation on $\mathbb{R}^d$ with a power nonlinearity $\lambda |u|^{2\theta/d}u$
($\lambda \in \mathbb{C}$, $0<\theta<1$) and the initial data in the form
$\epsilon \varphi(x)$. We provide a sharp lower bound estimate for
$T_{\epsilon}$ as $\epsilo... | 0 | 0 | 1 | 0 | 0 | 0 |
State Space Reduction for Reachability Graph of CSM Automata | Classical CTL temporal logics are built over systems with interleaving model
concurrency. Many attempts are made to fight a state space explosion problem
(for instance, compositional model checking). There are some methods of
reduction of a state space based on independence of actions. However, in CSM
model, which is... | 1 | 0 | 0 | 0 | 0 | 0 |
Permission Inference for Array Programs | Information about the memory locations accessed by a program is, for
instance, required for program parallelisation and program verification.
Existing inference techniques for this information provide only partial
solutions for the important class of array-manipulating programs. In this
paper, we present a static ana... | 1 | 0 | 0 | 0 | 0 | 0 |
Generating Query Suggestions to Support Task-Based Search | We address the problem of generating query suggestions to support users in
completing their underlying tasks (which motivated them to search in the first
place). Given an initial query, these query suggestions should provide a
coverage of possible subtasks the user might be looking for. We propose a
probabilistic mod... | 1 | 0 | 0 | 0 | 0 | 0 |
Application of Spin-Exchange Relaxation-Free Magnetometry to the Cosmic Axion Spin Precession Experiment | The Cosmic Axion Spin Precession Experiment (CASPEr) seeks to measure
oscillating torques on nuclear spins caused by axion or axion-like-particle
(ALP) dark matter via nuclear magnetic resonance (NMR) techniques. A sample
spin-polarized along a leading magnetic field experiences a resonance when the
Larmor frequency ... | 0 | 1 | 0 | 0 | 0 | 0 |
Symmetry and the Geometric Phase in Ultracold Hydrogen-Exchange Reactions | Quantum reactive scattering calculations are reported for the ultracold
hydrogen-exchange reaction and its non-reactive atom-exchange isotopic
counterparts, proceeding from excited rotational states. It is shown that while
the geometric phase (GP) does not necessarily control the reaction to all final
states one can ... | 0 | 1 | 0 | 0 | 0 | 0 |
Characterization and Photometric Performance of the Hyper Suprime-Cam Software Pipeline | The Subaru Strategic Program (SSP) is an ambitious multi-band survey using
the Hyper Suprime-Cam (HSC) on the Subaru telescope. The Wide layer of the SSP
is both wide and deep, reaching a detection limit of i~26.0 mag. At these
depths, it is challenging to achieve accurate, unbiased, and consistent
photometry across ... | 0 | 1 | 0 | 0 | 0 | 0 |
Information Geometry Approach to Parameter Estimation in Hidden Markov Models | We consider the estimation of hidden Markovian process by using information
geometry with respect to transition matrices. We consider the case when we use
only the histogram of $k$-memory data. Firstly, we focus on a partial
observation model with Markovian process and we show that the asymptotic
estimation error of ... | 0 | 0 | 1 | 1 | 0 | 0 |
Parallel transport in principal 2-bundles | A nice differential-geometric framework for (non-abelian) higher gauge theory
is provided by principal 2-bundles, i.e. categorified principal bundles. Their
total spaces are Lie groupoids, local trivializations are kinds of Morita
equivalences, and connections are Lie-2-algebra-valued 1-forms. In this
article, we con... | 0 | 0 | 1 | 0 | 0 | 0 |
Gotta Learn Fast: A New Benchmark for Generalization in RL | In this report, we present a new reinforcement learning (RL) benchmark based
on the Sonic the Hedgehog (TM) video game franchise. This benchmark is intended
to measure the performance of transfer learning and few-shot learning
algorithms in the RL domain. We also present and evaluate some baseline
algorithms on the n... | 0 | 0 | 0 | 1 | 0 | 0 |
Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit | Observations of astrophysical objects such as galaxies are limited by various
sources of random and systematic noise from the sky background, the optical
system of the telescope and the detector used to record the data. Conventional
deconvolution techniques are limited in their ability to recover features in
imaging ... | 0 | 1 | 0 | 1 | 0 | 0 |
Trends in European flood risk over the past 150 years | Flood risk changes in time and is influenced by both natural and
socio-economic trends and interactions. In Europe, previous studies of
historical flood losses corrected for demographic and economic growth
("normalized") have been limited in temporal and spatial extent, leading to an
incomplete representation in tren... | 0 | 0 | 0 | 1 | 0 | 0 |
Kinetic Trans-assembly of DNA Nanostructures | The central dogma of molecular biology is the principal framework for
understanding how nucleic acid information is propagated and used by living
systems to create complex biomolecules. Here, by integrating the structural and
dynamic paradigms of DNA nanotechnology, we present a rationally designed
synthetic platform... | 0 | 0 | 0 | 0 | 1 | 0 |
Synthesis and analysis in total variation regularization | We generalize the bridge between analysis and synthesis estimators by Elad,
Milanfar and Rubinstein (2007) to rank deficient cases. This is a starting
point for the study of the connection between analysis and synthesis for total
variation regularized estimators. In particular, the case of first order total
variation... | 0 | 0 | 1 | 1 | 0 | 0 |
The Leray transform: factorization, dual $CR$ structures and model hypersurfaces in $\mathbb{C}\mathbb{P}^2$ | We compute the exact norms of the Leray transforms for a family
$\mathcal{S}_{\beta}$ of unbounded hypersurfaces in two complex dimensions. The
$\mathcal{S}_{\beta}$ generalize the Heisenberg group, and provide local
projective approximations to any smooth, strongly $\mathbb{C}$-convex
hypersurface $\mathcal{S}_{\bet... | 0 | 0 | 1 | 0 | 0 | 0 |
A Fast Quantum-safe Asymmetric Cryptosystem Using Extra Superincreasing Sequences | This paper gives the definitions of an extra superincreasing sequence and an
anomalous subset sum, and proposes a fast quantum-safe asymmetric cryptosystem
called JUOAN2. The new cryptosystem is based on an additive multivariate
permutation problem (AMPP) and an anomalous subset sum problem (ASSP) which
parallel a mu... | 1 | 0 | 0 | 0 | 0 | 0 |
Knowledge Transfer for Melanoma Screening with Deep Learning | Knowledge transfer impacts the performance of deep learning -- the state of
the art for image classification tasks, including automated melanoma screening.
Deep learning's greed for large amounts of training data poses a challenge for
medical tasks, which we can alleviate by recycling knowledge from models
trained on... | 1 | 0 | 0 | 0 | 0 | 0 |
Large odd order character sums and improvements of the Pólya-Vinogradov inequality | For a primitive Dirichlet character $\chi$ modulo $q$, we define
$M(\chi)=\max_{t } |\sum_{n \leq t} \chi(n)|$. In this paper, we study this
quantity for characters of a fixed odd order $g\geq 3$. Our main result
provides a further improvement of the classical Pólya-Vinogradov inequality
in this case. More specifical... | 0 | 0 | 1 | 0 | 0 | 0 |
Estimation under group actions: recovering orbits from invariants | Motivated by geometric problems in signal processing, computer vision, and
structural biology, we study a class of orbit recovery problems where we
observe very noisy copies of an unknown signal, each acted upon by a random
element of some group (such as Z/p or SO(3)). The goal is to recover the orbit
of the signal u... | 1 | 0 | 1 | 0 | 0 | 0 |
Crystal field excitations from $\mathrm{Yb^{3+}}$ ions at defective sites in highly stuffed $\rm Yb_2Ti_2O_7$ | The pyrochlore magnet $\rm Yb_2Ti_2O_7$ has been proposed as a quantum spin
ice candidate, a spin liquid state expected to display emergent quantum
electrodynamics with gauge photons among its elementary excitations. However,
$\rm Yb_2Ti_2O_7$'s ground state is known to be very sensitive to its precise
stoichiometry.... | 0 | 1 | 0 | 0 | 0 | 0 |
HOUDINI: Lifelong Learning as Program Synthesis | We present a neurosymbolic framework for the lifelong learning of algorithmic
tasks that mix perception and procedural reasoning. Reusing high-level concepts
across domains and learning complex procedures are key challenges in lifelong
learning. We show that a program synthesis approach that combines gradient
descent... | 1 | 0 | 0 | 1 | 0 | 0 |
Detecting Adversarial Examples via Key-based Network | Though deep neural networks have achieved state-of-the-art performance in
visual classification, recent studies have shown that they are all vulnerable
to the attack of adversarial examples. Small and often imperceptible
perturbations to the input images are sufficient to fool the most powerful deep
neural networks. ... | 0 | 0 | 0 | 1 | 0 | 0 |
Guessing Attacks on Distributed-Storage Systems | The secrecy of a distributed-storage system for passwords is studied. The
encoder, Alice, observes a length-n password and describes it using two hints,
which she stores in different locations. The legitimate receiver, Bob, observes
both hints. In one scenario the requirement is that the expected number of
guesses it... | 1 | 0 | 1 | 0 | 0 | 0 |
Numerical analysis of nonlocal fracture models in Hölder space | In this work, we calculate the convergence rate of the finite difference
approximation for a class of nonlocal fracture models. We consider two point
force interactions characterized by a double well potential. We show the
existence of a evolving displacement field in Hölder space with Hölder
exponent $\gamma \in (0,... | 0 | 0 | 1 | 0 | 0 | 0 |
Iterative Collaborative Filtering for Sparse Matrix Estimation | The sparse matrix estimation problem consists of estimating the distribution
of an $n\times n$ matrix $Y$, from a sparsely observed single instance of this
matrix where the entries of $Y$ are independent random variables. This captures
a wide array of problems; special instances include matrix completion in the
conte... | 0 | 0 | 1 | 1 | 0 | 0 |
Parameter Estimation in Finite Mixture Models by Regularized Optimal Transport: A Unified Framework for Hard and Soft Clustering | In this short paper, we formulate parameter estimation for finite mixture
models in the context of discrete optimal transportation with convex
regularization. The proposed framework unifies hard and soft clustering methods
for general mixture models. It also generalizes the celebrated
$k$\nobreakdash-means and expect... | 1 | 0 | 0 | 1 | 0 | 0 |
Robust parameter determination in epidemic models with analytical descriptions of uncertainties | Compartmental equations are primary tools in disease spreading studies. Their
predictions are accurate for large populations but disagree with empirical and
simulated data for finite populations, where uncertainties become a relevant
factor. Starting from the agent-based approach, we investigate the role of
uncertain... | 0 | 0 | 0 | 0 | 1 | 0 |
Direct observation of domain wall surface tension by deflating or inflating a magnetic bubble | The surface energy of a magnetic Domain Wall (DW) strongly affects its static
and dynamic behaviours. However, this effect was seldom directly observed and
many related phenomena have not been well understood. Moreover, a reliable
method to quantify the DW surface energy is still missing. Here, we report a
series of ... | 0 | 1 | 0 | 0 | 0 | 0 |
Unified Halo-Independent Formalism From Convex Hulls for Direct Dark Matter Searches | Using the Fenchel-Eggleston theorem for convex hulls (an extension of the
Caratheodory theorem), we prove that any likelihood can be maximized by either
a dark matter 1- speed distribution $F(v)$ in Earth's frame or 2- Galactic
velocity distribution $f^{\rm gal}(\vec{u})$, consisting of a sum of delta
functions. The ... | 0 | 1 | 0 | 0 | 0 | 0 |
Finite size effects for spiking neural networks with spatially dependent coupling | We study finite-size fluctuations in a network of spiking deterministic
neurons coupled with non-uniform synaptic coupling. We generalize a previously
developed theory of finite size effects for uniform globally coupled neurons.
In the uniform case, mean field theory is well defined by averaging over the
network as t... | 0 | 0 | 0 | 0 | 1 | 0 |
Shape and fission instabilities of ferrofluids in non-uniform magnetic fields | We study static distributions of ferrofluid submitted to non-uniform magnetic
fields. We show how the normal-field instability is modified in the presence of
a weak magnetic field gradient. Then we consider a ferrofluid droplet and show
how the gradient affects its shape. A rich phase transitions phenomenology is
fou... | 0 | 1 | 0 | 0 | 0 | 0 |
Encrypted accelerated least squares regression | Information that is stored in an encrypted format is, by definition, usually
not amenable to statistical analysis or machine learning methods. In this paper
we present detailed analysis of coordinate and accelerated gradient descent
algorithms which are capable of fitting least squares and penalised ridge
regression ... | 1 | 0 | 0 | 1 | 0 | 0 |
Unified Model of Chaotic Inflation and Dynamical Supersymmetry Breaking | The large hierarchy between the Planck scale and the weak scale can be
explained by the dynamical breaking of supersymmetry in strongly coupled gauge
theories. Similarly, the hierarchy between the Planck scale and the energy
scale of inflation may also originate from strong dynamics, which dynamically
generate the in... | 0 | 1 | 0 | 0 | 0 | 0 |
Tuplemax Loss for Language Identification | In many scenarios of a language identification task, the user will specify a
small set of languages which he/she can speak instead of a large set of all
possible languages. We want to model such prior knowledge into the way we train
our neural networks, by replacing the commonly used softmax loss function with
a nove... | 1 | 0 | 0 | 0 | 0 | 0 |
Sparse Data Driven Mesh Deformation | Example-based mesh deformation methods are powerful tools for realistic shape
editing. However, existing techniques typically combine all the example
deformation modes, which can lead to overfitting, i.e. using a overly
complicated model to explain the user-specified deformation. This leads to
implausible or unstable... | 1 | 0 | 0 | 0 | 0 | 0 |
Short Presburger arithmetic is hard | We study the computational complexity of short sentences in Presburger
arithmetic (Short-PA). Here by "short" we mean sentences with a bounded number
of variables, quantifiers, inequalities and Boolean operations; the input
consists only of the integer coefficients involved in the linear inequalities.
We prove that s... | 1 | 0 | 1 | 0 | 0 | 0 |
The Bias of the Log Power Spectrum for Discrete Surveys | A primary goal of galaxy surveys is to tighten constraints on cosmological
parameters, and the power spectrum $P(k)$ is the standard means of doing so.
However, at translinear scales $P(k)$ is blind to much of these surveys'
information---information which the log density power spectrum recovers. For
discrete fields ... | 0 | 1 | 0 | 0 | 0 | 0 |
Consistent nonparametric change point detection combining CUSUM and marked empirical processes | A weakly dependent time series regression model with multivariate covariates
and univariate observations is considered, for which we develop a procedure to
detect whether the nonparametric conditional mean function is stable in time
against change point alternatives. Our proposal is based on a modified CUSUM
type tes... | 0 | 0 | 1 | 1 | 0 | 0 |
Nonlinear electric field effect on perpendicular magnetic anisotropy in Fe/MgO interfaces | The electric field effect on magnetic anisotropy was studied in an ultrathin
Fe(001) monocrystalline layer sandwiched between Cr buffer and MgO tunnel
barrier layers, mainly through post-annealing temperature and measurement
temperature dependences. A large coefficient of the electric field effect of
more than 200 fJ... | 0 | 1 | 0 | 0 | 0 | 0 |
Local Symmetry and Global Structure in Adaptive Voter Models | "Coevolving" or "adaptive" voter models (AVMs) are natural systems for
modeling the emergence of mesoscopic structure from local networked processes
driven by conflict and homophily. Because of this, many methods for
approximating the long-run behavior of AVMs have been proposed over the last
decade. However, most su... | 1 | 0 | 0 | 0 | 0 | 0 |
A Weighted Model Confidence Set: Applications to Local and Mixture Model Confidence Sets | This article provides a weighted model confidence set, whenever underling
model has been misspecified and some part of support of random variable $X$
conveys some important information about underling true model. Application of
such weighted model confidence set for local and mixture model confidence sets
have been g... | 0 | 0 | 0 | 1 | 0 | 0 |
Poverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico | Mapping the spatial distribution of poverty in developing countries remains
an important and costly challenge. These "poverty maps" are key inputs for
poverty targeting, public goods provision, political accountability, and impact
evaluation, that are all the more important given the geographic dispersion of
the rema... | 1 | 0 | 0 | 1 | 0 | 0 |
Network of sensitive magnetometers for urban studies | The magnetic signature of an urban environment is investigated using a
geographically distributed network of fluxgate magnetometers deployed in and
around Berkeley, California. The system hardware and software are described and
results from initial operation of the network are reported. The sensors sample
the vector ... | 0 | 1 | 0 | 0 | 0 | 0 |
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization | The cooperative hierarchical structure is a common and significant data
structure observed in, or adopted by, many research areas, such as: text mining
(author-paper-word) and multi-label classification (label-instance-feature).
Renowned Bayesian approaches for cooperative hierarchical structure modeling
are mostly b... | 1 | 0 | 0 | 1 | 0 | 0 |
The extended law of star formation: the combined role of gas and stars | We present a model for the origin of the extended law of star formation in
which the surface density of star formation ($\Sigma_{\rm SFR}$) depends not
only on the local surface density of the gas ($\Sigma_{g}$), but also on the
stellar surface density ($\Sigma_{*}$), the velocity dispersion of the stars,
and on the ... | 0 | 1 | 0 | 0 | 0 | 0 |
Local and global similarity of holomorphic matrices | R. Guralnick (Linear Algebra Appl. 99, 85-96, 1988) proved that two
holomorphic matrices on a noncompact connected Riemann surface, which are
locally holomorphically similar, are globally holomorphically similar. We
generalize this to (possibly, non-smooth) one-dimensional Stein spaces. For
Stein spaces of arbitrary ... | 0 | 0 | 1 | 0 | 0 | 0 |
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models | Learning sparse linear models with two-way interactions is desirable in many
application domains such as genomics. l1-regularised linear models are popular
to estimate sparse models, yet standard implementations fail to address
specifically the quadratic explosion of candidate two-way interactions in high
dimensions,... | 0 | 0 | 0 | 1 | 1 | 0 |
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images | Convolutional Neural Networks (CNNs) have achieved state-of-the-art
performance on a variety of computer vision tasks, particularly visual
classification problems, where new algorithms reported to achieve or even
surpass the human performance. In this paper, we examine whether CNNs are
capable of learning the semanti... | 1 | 0 | 0 | 1 | 0 | 0 |
$\aleph_1$ and the modal $μ$-calculus | For a regular cardinal $\kappa$, a formula of the modal $\mu$-calculus is
$\kappa$-continuous in a variable x if, on every model, its interpretation as a
unary function of x is monotone and preserves unions of $\kappa$-directed sets.
We define the fragment $C_{\aleph_1}(x)$ of the modal $\mu$-calculus and prove
that ... | 1 | 0 | 1 | 0 | 0 | 0 |
Optimal Service Elasticity in Large-Scale Distributed Systems | A fundamental challenge in large-scale cloud networks and data centers is to
achieve highly efficient server utilization and limit energy consumption, while
providing excellent user-perceived performance in the presence of uncertain and
time-varying demand patterns. Auto-scaling provides a popular paradigm for
automa... | 1 | 0 | 1 | 0 | 0 | 0 |
Variational Monte Carlo study of spin dynamics in underdoped cuprates | The hour-glass-like dispersion of spin excitations is a common feature of
underdoped cuprates. It was qualitatively explained by the random phase
approximation based on various ordered states with some phenomenological
parameters; however, its origin remains elusive. Here, we present a numerical
study of spin dynamic... | 0 | 1 | 0 | 0 | 0 | 0 |
High brightness electron beam for radiation therapy: A new approach | I propose to use high brightness electron beam with 1 to 100 MeV energy as
tool to combat tumor or cancerous tissues in deep part of body. The method is
to directly deliver the electron beam to the tumor site via a small tube that
connected to a high brightness electron beam accelerator that is commonly
available aro... | 0 | 1 | 0 | 0 | 0 | 0 |
Parabolic equations with divergence-free drift in space $L_{t}^{l}L_{x}^{q}$ | In this paper we study the fundamental solution $\varGamma(t,x;\tau,\xi)$ of
the parabolic operator $L_{t}=\partial_{t}-\Delta+b(t,x)\cdot\nabla$, where for
every $t$, $b(t,\cdot)$ is a divergence-free vector field, and we consider the
case that $b$ belongs to the Lebesgue space
$L^{l}\left(0,T;L^{q}\left(\mathbb{R}^... | 0 | 0 | 1 | 0 | 0 | 0 |
Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation | Our work presented in this paper focuses on the translation of terminological
expressions represented in semantically structured resources, like ontologies
or knowledge graphs. The challenge of translating ontology labels or
terminological expressions represented in knowledge bases lies in the highly
specific vocabul... | 1 | 0 | 0 | 0 | 0 | 0 |
Detecting Arbitrary Attacks Using Continuous Secured Side Information in Wireless Networks | This paper focuses on Byzantine attack detection for Gaussian two-hop one-way
relay network, where an amplify-and-forward relay may conduct Byzantine attacks
by forwarding altered symbols to the destination. For facilitating attack
detection, we utilize the openness of wireless medium to make the destination
observe ... | 1 | 0 | 0 | 0 | 0 | 0 |
Phase Transitions in the Pooled Data Problem | In this paper, we study the pooled data problem of identifying the labels
associated with a large collection of items, based on a sequence of pooled
tests revealing the counts of each label within the pool. In the noiseless
setting, we identify an exact asymptotic threshold on the required number of
tests with optima... | 1 | 0 | 0 | 1 | 0 | 0 |
Graph Convolutional Networks for Classification with a Structured Label Space | It is a usual practice to ignore any structural information underlying
classes in multi-class classification. In this paper, we propose a graph
convolutional network (GCN) augmented neural network classifier to exploit a
known, underlying graph structure of labels. The proposed approach resembles an
(approximate) inf... | 1 | 0 | 0 | 1 | 0 | 0 |
Decoupling of graphene from Ni(111) via oxygen intercalation | The combination of the surface science techniques (STM, XPS, ARPES) and
density-functional theory calculations was used to study the decoupling of
graphene from Ni(111) by oxygen intercalation. The formation of the
antiferromagnetic (AFM) NiO layer at the interface between graphene and
ferromagnetic (FM) Ni is found,... | 0 | 1 | 0 | 0 | 0 | 0 |
Model Risk Measurement under Wasserstein Distance | The paper proposes a new approach to model risk measurement based on the
Wasserstein distance between two probability measures. It formulates the
theoretical motivation resulting from the interpretation of fictitious
adversary of robust risk management. The proposed approach accounts for all
alternative models and in... | 0 | 0 | 0 | 0 | 0 | 1 |
Fast kNN mode seeking clustering applied to active learning | A significantly faster algorithm is presented for the original kNN mode
seeking procedure. It has the advantages over the well-known mean shift
algorithm that it is feasible in high-dimensional vector spaces and results in
uniquely, well defined modes. Moreover, without any additional computational
effort it may yiel... | 1 | 0 | 0 | 1 | 0 | 0 |
Towards a Flow- and Path-Sensitive Information Flow Analysis: Technical Report | This paper investigates a flow- and path-sensitive static information flow
analysis. Compared with security type systems with fixed labels, it has been
shown that flow-sensitive type systems accept more secure programs. We show
that an information flow analysis with fixed labels can be both flow- and
path-sensitive. ... | 1 | 0 | 0 | 0 | 0 | 0 |
Topic supervised non-negative matrix factorization | Topic models have been extensively used to organize and interpret the
contents of large, unstructured corpora of text documents. Although topic
models often perform well on traditional training vs. test set evaluations, it
is often the case that the results of a topic model do not align with human
interpretation. Thi... | 1 | 0 | 0 | 1 | 0 | 0 |
Low-temperature lattice effects in the spin-liquid candidate $κ$-(BEDT-TTF)$_2$Cu$_2$(CN)$_3$ | The quasi-two-dimensional organic charge-transfer salt
$\kappa$-(BEDT-TTF)$_2$Cu$_2$(CN)$_3$ is one of the prime candidates for a
quantum spin-liquid due the strong spin frustration of its anisotropic
triangular lattice in combination with its proximity to the Mott transition.
Despite intensive investigations of the ... | 0 | 1 | 0 | 0 | 0 | 0 |
ECO-AMLP: A Decision Support System using an Enhanced Class Outlier with Automatic Multilayer Perceptron for Diabetes Prediction | With advanced data analytical techniques, efforts for more accurate decision
support systems for disease prediction are on rise. Surveys by World Health
Organization (WHO) indicate a great increase in number of diabetic patients and
related deaths each year. Early diagnosis of diabetes is a major concern among
resear... | 1 | 0 | 0 | 0 | 0 | 0 |
Local approximation of non-holomorphic discs in almost complex manifolds | We provide a local approximation result of non-holomorphic discs with small
d-bar by pseudoholomorphic ones. As an application, we provide a certain gluing
construction.
| 0 | 0 | 1 | 0 | 0 | 0 |
A Tutorial on Deep Learning for Music Information Retrieval | Following their success in Computer Vision and other areas, deep learning
techniques have recently become widely adopted in Music Information Retrieval
(MIR) research. However, the majority of works aim to adopt and assess methods
that have been shown to be effective in other domains, while there is still a
great nee... | 1 | 0 | 0 | 0 | 0 | 0 |
Modeling and control of modern wind turbine systems: An introduction | This chapter provides an introduction to the modeling and control of power
generation from wind turbine systems. In modeling, the focus is on the
electrical components: electrical machine (e.g. permanent-magnet synchronous
generators), back-to-back converter (consisting of machine-side and grid-side
converter sharing... | 1 | 0 | 0 | 0 | 0 | 0 |
Linear algebraic analogues of the graph isomorphism problem and the Erdős-Rényi model | A classical difficult isomorphism testing problem is to test isomorphism of
p-groups of class 2 and exponent p in time polynomial in the group order. It is
known that this problem can be reduced to solving the alternating matrix space
isometry problem over a finite field in time polynomial in the underlying
vector sp... | 1 | 0 | 1 | 0 | 0 | 0 |
A Family of Metrics for Clustering Algorithms | We give the motivation for scoring clustering algorithms and a metric $M : A
\rightarrow \mathbb{N}$ from the set of clustering algorithms to the natural
numbers which we realize as \begin{equation} M(A) = \sum_i \alpha_i |f_i -
\beta_i|^{w_i} \end{equation} where $\alpha_i,\beta_i,w_i$ are parameters used
for scorin... | 1 | 0 | 0 | 0 | 0 | 0 |
A numerical scheme for an improved Green-Naghdi model in the Camassa-Holm regime for the propagation of internal waves | In this paper we introduce a new reformulation of the Green-Naghdi model in
the Camassa-Holm regime for the propagation of internal waves over a flat
topography derived by Duchêne, Israwi and Talhouk. These new Green-Naghdi
systems are adapted to improve the frequency dispersion of the original model,
they share the ... | 0 | 0 | 1 | 0 | 0 | 0 |
General Bayesian Updating and the Loss-Likelihood Bootstrap | In this paper we revisit the weighted likelihood bootstrap, a method that
generates samples from an approximate Bayesian posterior of a parametric model.
We show that the same method can be derived, without approximation, under a
Bayesian nonparametric model with the parameter of interest defined as
minimising an exp... | 0 | 0 | 0 | 1 | 0 | 0 |
Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles | For many applications, an ensemble of base classifiers is an effective
solution. The tuning of its parameters(number of classes, amount of data on
which each classifier is to be trained on, etc.) requires G, the generalization
error of a given ensemble. The efficient estimation of G is the focus of this
paper. The ke... | 1 | 0 | 0 | 1 | 0 | 0 |
Self-consistent calculation of the flux-flow conductivity in diffusive superconductors | In the framework of Keldysh-Usadel kinetic theory, we study the temperature
dependence of flux-flow conductivity (FFC) in diffusive superconductors. By
using self-consistent vortex solutions we find the exact values of
dimensionless parameters that determine the diffusion-controlled FFC both in
the limit of the low t... | 0 | 1 | 0 | 0 | 0 | 0 |
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