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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Fermi bubbles: high latitude X-ray supersonic shell | The nature of the bipolar, $\gamma$-ray Fermi bubbles (FB) is still unclear,
in part because their faint, high-latitude X-ray counterpart has until now
eluded a clear detection. We stack ROSAT data at varying distances from the FB
edges, thus boosting the signal and identifying an expanding shell behind the
southwest... | 0 | 1 | 0 | 0 | 0 | 0 |
Passivity-Based Generalization of Primal-Dual Dynamics for Non-Strictly Convex Cost Functions | In this paper, we revisit primal-dual dynamics for convex optimization and
present a generalization of the dynamics based on the concept of passivity. It
is then proved that supplying a stable zero to one of the integrators in the
dynamics allows one to eliminate the assumption of strict convexity on the cost
functio... | 1 | 0 | 0 | 0 | 0 | 0 |
An integral formula for the powered sum of the independent, identically and normally distributed random variables | The distribution of the sum of r-th power of standard normal random variables
is a generalization of the chi-squared distribution. In this paper, we
represent the probability density function of the random variable by an
one-dimensional absolutely convergent integral with the characteristic
function. Our integral for... | 0 | 0 | 1 | 0 | 0 | 0 |
A Dynamic Boosted Ensemble Learning Method Based on Random Forest | We propose a dynamic boosted ensemble learning method based on random forest
(DBRF), a novel ensemble algorithm that incorporates the notion of hard example
mining into Random Forest (RF) and thus combines the high accuracy of Boosting
algorithm with the strong generalization of Bagging algorithm. Specifically, we
pr... | 0 | 0 | 0 | 1 | 0 | 0 |
Inter-Operator Resource Management for Millimeter Wave, Multi-Hop Backhaul Networks | In this paper, a novel framework is proposed for optimizing the operation and
performance of a large-scale, multi-hop millimeter wave (mmW) backhaul within a
wireless small cell network (SCN) that encompasses multiple mobile network
operators (MNOs). The proposed framework enables the small base stations (SBSs)
to jo... | 1 | 0 | 0 | 0 | 0 | 0 |
An Online Learning Approach to Generative Adversarial Networks | We consider the problem of training generative models with a Generative
Adversarial Network (GAN). Although GANs can accurately model complex
distributions, they are known to be difficult to train due to instabilities
caused by a difficult minimax optimization problem. In this paper, we view the
problem of training G... | 1 | 0 | 0 | 1 | 0 | 0 |
Weakly supervised CRNN system for sound event detection with large-scale unlabeled in-domain data | Sound event detection (SED) is typically posed as a supervised learning
problem requiring training data with strong temporal labels of sound events.
However, the production of datasets with strong labels normally requires
unaffordable labor cost. It limits the practical application of supervised SED
methods. The rece... | 1 | 0 | 0 | 0 | 0 | 0 |
Revealing the Coulomb interaction strength in a cuprate superconductor | We study optimally doped
Bi$_{2}$Sr$_{2}$Ca$_{0.92}$Y$_{0.08}$Cu$_{2}$O$_{8+\delta}$ (Bi2212) using
angle-resolved two-photon photoemission spectroscopy. Three spectral features
are resolved near 1.5, 2.7, and 3.6 eV above the Fermi level. By tuning the
photon energy, we determine that the 2.7-eV feature arises predo... | 0 | 1 | 0 | 0 | 0 | 0 |
Ordering dynamics of self-propelled particles in an inhomogeneous medium | Ordering dynamics of self-propelled particles in an inhomogeneous medium in
two-dimensions is studied. We write coarse-grained hydrodynamic equations of
motion for coarse-grained density and velocity fields in the presence of an
external random disorder field, which is quenched in time. The strength of
inhomogeneity ... | 0 | 1 | 0 | 0 | 0 | 0 |
Inflationary preheating dynamics with ultracold atoms | We discuss the amplification of loop corrections in quantum many-body systems
through dynamical instabilities. As an example, we investigate both
analytically and numerically a two-component ultracold atom system in one
spatial dimension. The model features a tachyonic instability, which
incorporates characteristic a... | 0 | 1 | 0 | 0 | 0 | 0 |
Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement Learning and Multi-task Reinforcement Learning | Reinforcement learning (RL), while often powerful, can suffer from slow
learning speeds, particularly in high dimensional spaces. The autonomous
decomposition of tasks and use of hierarchical methods hold the potential to
significantly speed up learning in such domains. This paper proposes a novel
practical method th... | 1 | 0 | 0 | 0 | 0 | 0 |
Quantification of tumour evolution and heterogeneity via Bayesian epiallele detection | Motivation: Epigenetic heterogeneity within a tumour can play an important
role in tumour evolution and the emergence of resistance to treatment. It is
increasingly recognised that the study of DNA methylation (DNAm) patterns along
the genome -- so-called `epialleles' -- offers greater insight into epigenetic
dynamic... | 0 | 0 | 1 | 1 | 0 | 0 |
A bootstrap test to detect prominent Granger-causalities across frequencies | Granger-causality in the frequency domain is an emerging tool to analyze the
causal relationship between two time series. We propose a bootstrap test on
unconditional and conditional Granger-causality spectra, as well as on their
difference, to catch particularly prominent causality cycles in relative terms.
In parti... | 0 | 0 | 0 | 1 | 0 | 1 |
Optimal segregation of proteins: phase transitions and symmetry breaking | Asymmetric segregation of key proteins at cell division -- be it a beneficial
or deleterious protein -- is ubiquitous in unicellular organisms and often
considered as an evolved trait to increase fitness in a stressed environment.
Here, we provide a general framework to describe the evolutionary origin of
this asymme... | 0 | 0 | 0 | 0 | 1 | 0 |
Optimal make-take fees for market making regulation | We consider an exchange who wishes to set suitable make-take fees to attract
liquidity on its platform. Using a principal-agent approach, we are able to
describe in quasi-explicit form the optimal contract to propose to a market
maker. This contract depends essentially on the market maker inventory
trajectory and on ... | 0 | 0 | 0 | 0 | 0 | 1 |
Spontaneous symmetry breaking due to the trade-off between attractive and repulsive couplings | Spontaneous symmetry breaking (SSB) is an important phenomenon observed in
various fields including physics and biology. In this connection, we here show
that the trade-off between attractive and repulsive couplings can induce
spontaneous symmetry breaking in a homogeneous system of coupled oscillators.
With a simple... | 0 | 1 | 0 | 0 | 0 | 0 |
Evolutionary Image Composition Using Feature Covariance Matrices | Evolutionary algorithms have recently been used to create a wide range of
artistic work. In this paper, we propose a new approach for the composition of
new images from existing ones, that retain some salient features of the
original images. We introduce evolutionary algorithms that create new images
based on a fitne... | 1 | 0 | 0 | 0 | 0 | 0 |
Community Detection with Colored Edges | In this paper, we prove a sharp limit on the community detection problem with
colored edges. We assume two equal-sized communities and there are $m$
different types of edges. If two vertices are in the same community, the
distribution of edges follows $p_i=\alpha_i\log{n}/n$ for $1\leq i \leq m$,
otherwise the distri... | 1 | 1 | 0 | 0 | 0 | 0 |
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling | Nonlocal neural networks have been proposed and shown to be effective in
several computer vision tasks, where the nonlocal operations can directly
capture long-range dependencies in the feature space. In this paper, we study
the nature of diffusion and damping effect of nonlocal networks by doing
spectrum analysis on... | 0 | 0 | 0 | 1 | 0 | 0 |
Proof of FLT by Algebra Identities and Linear Algebra | The main aim of the present paper is to represent an exact and simple proof
for FLT by using properties of the algebra identities and linear algebra.
| 0 | 0 | 1 | 0 | 0 | 0 |
An Observational Diagnostic for Distinguishing Between Clouds and Haze in Hot Exoplanet Atmospheres | The nature of aerosols in hot exoplanet atmospheres is one of the primary
vexing questions facing the exoplanet field. The complex chemistry, multiple
formation pathways, and lack of easily identifiable spectral features
associated with aerosols make it especially challenging to constrain their key
properties. We pro... | 0 | 1 | 0 | 0 | 0 | 0 |
$\mathcal{P}$-schemes and Deterministic Polynomial Factoring over Finite Fields | We introduce a family of mathematical objects called $\mathcal{P}$-schemes,
where $\mathcal{P}$ is a poset of subgroups of a finite group $G$. A
$\mathcal{P}$-scheme is a collection of partitions of the right coset spaces
$H\backslash G$, indexed by $H\in\mathcal{P}$, that satisfies a list of axioms.
These objects ge... | 1 | 0 | 1 | 0 | 0 | 0 |
Similarity Preserving Representation Learning for Time Series Analysis | A considerable amount of machine learning algorithms take instance-feature
matrices as their inputs. As such, they cannot directly analyze time series
data due to its temporal nature, usually unequal lengths, and complex
properties. This is a great pity since many of these algorithms are effective,
robust, efficient,... | 1 | 0 | 0 | 0 | 0 | 0 |
Modeling Social Organizations as Communication Networks | We identify the "organization" of a human social group as the communication
network(s) within that group. We then introduce three theoretical approaches to
analyzing what determines the structures of human organizations. All three
approaches adopt a group-selection perspective, so that the group's network
structure i... | 1 | 1 | 0 | 0 | 0 | 0 |
The Ricci flow on solvmanifolds of real type | We show that for any solvable Lie group of real type, any homogeneous Ricci
flow solution converges in Cheeger-Gromov topology to a unique non-flat
solvsoliton, which is independent of the initial left-invariant metric. As an
application, we obtain results on the isometry groups of non-flat solvsoliton
metrics and Ei... | 0 | 0 | 1 | 0 | 0 | 0 |
Model-based clustering of multi-tissue gene expression data | Recently, it has become feasible to generate large-scale, multi-tissue gene
expression data, where expression profiles are obtained from multiple tissues
or organs sampled from dozens to hundreds of individuals. When traditional
clustering methods are applied to this type of data, important information is
lost, becau... | 0 | 0 | 0 | 0 | 1 | 0 |
Fastest Convergence for Q-learning | The Zap Q-learning algorithm introduced in this paper is an improvement of
Watkins' original algorithm and recent competitors in several respects. It is a
matrix-gain algorithm designed so that its asymptotic variance is optimal.
Moreover, an ODE analysis suggests that the transient behavior is a close match
to a det... | 1 | 0 | 1 | 0 | 0 | 0 |
New Bounds on the Field Size for Maximally Recoverable Codes Instantiating Grid-like Topologies | In recent years, the rapidly increasing amounts of data created and processed
through the internet resulted in distributed storage systems employing erasure
coding based schemes. Aiming to balance the tradeoff between data recovery for
correlated failures and efficient encoding and decoding, distributed storage
syste... | 1 | 0 | 0 | 0 | 0 | 0 |
Two-Step Disentanglement for Financial Data | In this work, we address the problem of disentanglement of factors that
generate a given data into those that are correlated with the labeling and
those that are not. Our solution is simpler than previous solutions and employs
adversarial training in a straightforward manner. We demonstrate the new method
on visual d... | 1 | 0 | 0 | 1 | 0 | 0 |
Optimal control of a Vlasov-Poisson plasma by an external magnetic field - Analysis of a tracking type optimal control problem | In the paper "Optimal control of a Vlasov-Poisson plasma by an external
magnetic field - The basics for variational calculus" [arXiv:1708.02464] we
have already introduced a set of admissible magnetic fields and we have proved
that each of those fields induces a unique strong solution of the
Vlasov-Poisson system. We... | 0 | 0 | 1 | 0 | 0 | 0 |
Towards an algebraic natural proofs barrier via polynomial identity testing | We observe that a certain kind of algebraic proof - which covers essentially
all known algebraic circuit lower bounds to date - cannot be used to prove
lower bounds against VP if and only if what we call succinct hitting sets exist
for VP. This is analogous to the Razborov-Rudich natural proofs barrier in
Boolean cir... | 1 | 0 | 1 | 0 | 0 | 0 |
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference | In recent years, a great deal of interest has focused on conducting inference
on the parameters in a linear model in the high-dimensional setting. In this
paper, we consider a simple and very naïve two-step procedure for this
task, in which we (i) fit a lasso model in order to obtain a subset of the
variables; and (i... | 0 | 0 | 1 | 1 | 0 | 0 |
Asymptotic Analysis of Plausible Tree Hash Modes for SHA-3 | Discussions about the choice of a tree hash mode of operation for a
standardization have recently been undertaken. It appears that a single tree
mode cannot address adequately all possible uses and specifications of a
system. In this paper, we review the tree modes which have been proposed, we
discuss their problems ... | 1 | 0 | 0 | 0 | 0 | 0 |
Neurally Plausible Model of Robot Reaching Inspired by Infant Motor Babbling | In this paper we present a neurally plausible model of robot reaching
inspired by human infant reaching that is based on embodied artificial
intelligence, which emphasizes the importance of the sensory-motor interaction
of an agent and the world. This model encompasses both learning sensory-motor
correlations through... | 1 | 0 | 0 | 0 | 0 | 0 |
When Will AI Exceed Human Performance? Evidence from AI Experts | Advances in artificial intelligence (AI) will transform modern life by
reshaping transportation, health, science, finance, and the military. To adapt
public policy, we need to better anticipate these advances. Here we report the
results from a large survey of machine learning researchers on their beliefs
about progre... | 1 | 0 | 0 | 0 | 0 | 0 |
E-PUR: An Energy-Efficient Processing Unit for Recurrent Neural Networks | Recurrent Neural Networks (RNNs) are a key technology for emerging
applications such as automatic speech recognition, machine translation or image
description. Long Short Term Memory (LSTM) networks are the most successful RNN
implementation, as they can learn long term dependencies to achieve high
accuracy. Unfortun... | 1 | 0 | 0 | 0 | 0 | 0 |
Increasing Geminid meteor shower activity | Mathematical modelling has shown that activity of the Geminid meteor shower
should rise with time, and that was confirmed by analysis of visual
observations 1985--2016. We do not expect any outburst activity of the Geminid
shower in 2017, even though the asteroid (3200) Phaethon has close approach to
Earth in Decembe... | 0 | 1 | 0 | 0 | 0 | 0 |
The Bennett-Orlicz norm | Lederer and van de Geer (2013) introduced a new Orlicz norm, the
Bernstein-Orlicz norm, which is connected to Bernstein type inequalities. Here
we introduce another Orlicz norm, the Bennett-Orlicz norm, which is connected
to Bennett type inequalities. The new Bennett-Orlicz norm yields inequalities
for expectations o... | 0 | 0 | 1 | 1 | 0 | 0 |
Temporal Justification Logic | Justification logics are modal-like logics with the additional capability of
recording the reason, or justification, for modalities in syntactic structures,
called justification terms. Justification logics can be seen as explicit
counterparts to modal logics. The behavior and interaction of agents in
distributed syst... | 1 | 0 | 0 | 0 | 0 | 0 |
Simultaneous Multiparty Communication Complexity of Composed Functions | In the Number On the Forehead (NOF) multiparty communication model, $k$
players want to evaluate a function $F : X_1 \times\cdots\times X_k\rightarrow
Y$ on some input $(x_1,\dots,x_k)$ by broadcasting bits according to a
predetermined protocol. The input is distributed in such a way that each player
$i$ sees all of ... | 1 | 0 | 0 | 0 | 0 | 0 |
Online Learning for Changing Environments using Coin Betting | A key challenge in online learning is that classical algorithms can be slow
to adapt to changing environments. Recent studies have proposed "meta"
algorithms that convert any online learning algorithm to one that is adaptive
to changing environments, where the adaptivity is analyzed in a quantity called
the strongly-... | 1 | 0 | 0 | 1 | 0 | 0 |
On the global sup-norm of GL(3) cusp forms | Let $\phi$ be a spherical Hecke-Maass cusp form on the non-compact space
$\mathrm{PGL}_3(\mathbb{Z})\backslash\mathrm{PGL}_3(\mathbb{R})$. We establish
various pointwise upper bounds for $\phi$ in terms of its Laplace eigenvalue
$\lambda_\phi$. These imply, for $\phi$ arithmetically normalized and tempered
at the arc... | 0 | 0 | 1 | 0 | 0 | 0 |
Four revolutions in physics and the second quantum revolution -- a unification of force and matter by quantum information | Newton's mechanical revolution unifies the motion of planets in the sky and
falling of apple on earth. Maxwell's electromagnetic revolution unifies
electricity, magnetism, and light. Einstein's relativity revolution unifies
space with time, and gravity with space-time distortion. The quantum revolution
unifies partic... | 0 | 1 | 0 | 0 | 0 | 0 |
Concept Drift Learning with Alternating Learners | Data-driven predictive analytics are in use today across a number of
industrial applications, but further integration is hindered by the requirement
of similarity among model training and test data distributions. This paper
addresses the need of learning from possibly nonstationary data streams, or
under concept drif... | 1 | 0 | 0 | 1 | 0 | 0 |
A new proof of the competitive exclusion principle in the chemostat | We give an new proof of the well-known competitive exclusion principle in the
chemostat model with $n$ species competing for a single resource, for any set
of increasing growth functions. The proof is constructed by induction on the
number of the species, after being ordered. It uses elementary analysis and
compariso... | 0 | 0 | 1 | 0 | 0 | 0 |
From Random Differential Equations to Structural Causal Models: the stochastic case | Random Differential Equations provide a natural extension of Ordinary
Differential Equations to the stochastic setting. We show how, and under which
conditions, every equilibrium state of a Random Differential Equation (RDE) can
be described by a Structural Causal Model (SCM), while pertaining the causal
semantics. T... | 0 | 0 | 0 | 1 | 0 | 0 |
Ties That Bind - Characterizing Classes by Attributes and Social Ties | Given a set of attributed subgraphs known to be from different classes, how
can we discover their differences? There are many cases where collections of
subgraphs may be contrasted against each other. For example, they may be
assigned ground truth labels (spam/not-spam), or it may be desired to directly
compare the b... | 1 | 1 | 0 | 0 | 0 | 0 |
Probing dark matter with star clusters: a dark matter core in the ultra-faint dwarf Eridanus II | We present a new technique to probe the central dark matter (DM) density
profile of galaxies that harnesses both the survival and observed properties of
star clusters. As a first application, we apply our method to the `ultra-faint'
dwarf Eridanus II (Eri II) that has a lone star cluster ~45 pc from its centre.
Using... | 0 | 1 | 0 | 0 | 0 | 0 |
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s) | We propose the ambiguity problem for the foreground object segmentation task
and motivate the importance of estimating and accounting for this ambiguity
when designing vision systems. Specifically, we distinguish between images
which lead multiple annotators to segment different foreground objects
(ambiguous) versus ... | 1 | 0 | 0 | 0 | 0 | 0 |
On Some Generalized Polyhedral Convex Constructions | Generalized polyhedral convex sets, generalized polyhedral convex functions
on locally convex Hausdorff topological vector spaces, and the related
constructions such as sum of sets, sum of functions, directional derivative,
infimal convolution, normal cone, conjugate function, subdifferential, are
studied thoroughly ... | 0 | 0 | 1 | 0 | 0 | 0 |
mGPfusion: Predicting protein stability changes with Gaussian process kernel learning and data fusion | Proteins are commonly used by biochemical industry for numerous processes.
Refining these proteins' properties via mutations causes stability effects as
well. Accurate computational method to predict how mutations affect protein
stability are necessary to facilitate efficient protein design. However,
accuracy of pred... | 0 | 0 | 0 | 1 | 1 | 0 |
How Do Software Startups Pivot? Empirical Results from a Multiple Case Study | In order to handle intense time pressure and survive in dynamic market,
software startups have to make crucial decisions constantly on whether to
change directions or stay on chosen courses, or in the terms of Lean Startup,
to pivot or to persevere. The existing research and knowledge on software
startup pivots are v... | 1 | 0 | 0 | 0 | 0 | 0 |
Some criteria for Wind Riemannian completeness and existence of Cauchy hypersurfaces | Recently, a link between Lorentzian and Finslerian Geometries has been
carried out, leading to the notion of wind Riemannian structure (WRS), a
generalization of Finslerian Randers metrics. Here, we further develop this
notion and its applications to spacetimes, by introducing some
characterizations and criteria for ... | 0 | 0 | 1 | 0 | 0 | 0 |
A generalization of Schönemann's theorem via a graph theoretic method | Recently, Grynkiewicz et al. [{\it Israel J. Math.} {\bf 193} (2013),
359--398], using tools from additive combinatorics and group theory, proved
necessary and sufficient conditions under which the linear congruence
$a_1x_1+\cdots +a_kx_k\equiv b \pmod{n}$, where $a_1,\ldots,a_k,b,n$ ($n\geq
1$) are arbitrary integer... | 1 | 0 | 0 | 0 | 0 | 0 |
Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning | In order for robots to perform mission-critical tasks, it is essential that
they are able to quickly adapt to changes in their environment as well as to
injuries and or other bodily changes. Deep reinforcement learning has been
shown to be successful in training robot control policies for operation in
complex environ... | 1 | 0 | 0 | 0 | 0 | 0 |
Testing convexity of a discrete distribution | Based on the convex least-squares estimator, we propose two different
procedures for testing convexity of a probability mass function supported on N
with an unknown finite support. The procedures are shown to be asymptotically
calibrated.
| 0 | 0 | 1 | 1 | 0 | 0 |
Small and Strong Formulations for Unions of Convex Sets from the Cayley Embedding | There is often a significant trade-off between formulation strength and size
in mixed integer programming (MIP). When modeling convex disjunctive
constraints (e.g. unions of convex sets), adding auxiliary continuous variables
can sometimes help resolve this trade-off. However, standard formulations that
use such auxi... | 0 | 0 | 1 | 0 | 0 | 0 |
Safe Robotic Grasping: Minimum Impact-Force Grasp Selection | This paper addresses the problem of selecting from a choice of possible
grasps, so that impact forces will be minimised if a collision occurs while the
robot is moving the grasped object along a post-grasp trajectory. Such
considerations are important for safety in human-robot interaction, where even
a certified "hum... | 1 | 0 | 0 | 0 | 0 | 0 |
Nonparametric Kernel Density Estimation for Univariate Curent Status Data | We derive estimators of the density of the event times of current status
data. The estimators are derived for the situations where the distribution of
the observation times is known and where this distribution is unknown. The
density estimators are constructed from kernel estimators of the density of
transformed curr... | 0 | 0 | 1 | 1 | 0 | 0 |
Non-Kähler Mirror Symmetry of the Iwasawa Manifold | We propose a new approach to the Mirror Symmetry Conjecture in a form
suitable to possibly non-Kähler compact complex manifolds whose canonical
bundle is trivial. We apply our methods by proving that the Iwasawa manifold
$X$, a well-known non-Kähler compact complex manifold of dimension $3$, is
its own mirror dual to... | 0 | 0 | 1 | 0 | 0 | 0 |
Estimation and Inference for Moments of Ratios with Robustness against Large Trimming Bias | Empirical researchers often trim observations with small denominator A when
they estimate moments of the form E[B/A]. Large trimming is a common practice
to mitigate variance, but it incurs large trimming bias. This paper provides a
novel method of correcting large trimming bias. If a researcher is willing to
assume ... | 0 | 0 | 0 | 1 | 0 | 0 |
FPGA-based real-time 105-channel data acquisition platform for imaging system | In this paper, a real-time 105-channel data acquisition platform based on
FPGA for imaging will be implemented for mm-wave imaging systems. PC platform
is also realized for imaging results monitoring purpose. Mm-wave imaging
expands our vision by letting us see things under poor visibility conditions.
With this exten... | 1 | 0 | 0 | 0 | 0 | 0 |
Zn-induced in-gap electronic states in La214 probed by uniform magnetic susceptibility: relevance to the suppression of superconducting Tc | Substitution of isovalent non-magnetic defects, such as Zn, in CuO2 plane
strongly modifies the magnetic properties of strongly electron correlated hole
doped cuprate superconductors. The reason for enhanced uniform magnetic
susceptibility, \c{hi}, in Zn substituted cuprates is debatable. So far, the
observed magneti... | 0 | 1 | 0 | 0 | 0 | 0 |
Predicate Specialization for Definitional Higher-order Logic Programs | Higher-order logic programming is an interesting extension of traditional
logic programming that allows predicates to appear as arguments and variables
to be used where predicates typically occur. Higher-order characteristics are
indeed desirable but on the other hand they are also usually more expensive to
support. ... | 1 | 0 | 0 | 0 | 0 | 0 |
Metastability and bifurcation in superconducting nanorings | We describe an approach, based on direct numerical solution of the Usadel
equation, to finding stationary points of the free energy of superconducting
nanorings. We consider both uniform (equilibrium) solutions and the critical
droplets that mediate activated transitions between them. For the uniform
solutions, we co... | 0 | 1 | 0 | 0 | 0 | 0 |
Origin of life in a digital microcosm | While all organisms on Earth descend from a common ancestor, there is no
consensus on whether the origin of this ancestral self-replicator was a one-off
event or whether it was only the final survivor of multiple origins. Here we
use the digital evolution system Avida to study the origin of self-replicating
computer ... | 1 | 1 | 0 | 0 | 0 | 0 |
The equivalence of two tax processes | We introduce two models of taxation, the latent and natural tax processes,
which have both been used to represent loss-carry-forward taxation on the
capital of an insurance company. In the natural tax process, the tax rate is a
function of the current level of capital, whereas in the latent tax process,
the tax rate ... | 0 | 0 | 0 | 0 | 0 | 1 |
Space-Time Geostatistical Models with both Linear and Seasonal Structures in the Temporal Components | We provide a novel approach to model space-time random fields where the
temporal argument is decomposed into two parts. The former captures the linear
argument, which is related, for instance, to the annual evolution of the field.
The latter is instead a circular variable describing, for instance, monthly
observation... | 0 | 0 | 1 | 1 | 0 | 0 |
Stability and Robust Regulation of Passive Linear Systems | We study the stability of coupled impedance passive regular linear systems
under power-preserving interconnections. We present new conditions for strong,
exponential, and non-uniform stability of the closed-loop system. We apply the
stability results to the construction of passive error feedback controllers for
robus... | 0 | 0 | 1 | 0 | 0 | 0 |
Bayes Minimax Competitors of Preliminary Test Estimators in k Sample Problems | In this paper, we consider the estimation of a mean vector of a multivariate
normal population where the mean vector is suspected to be nearly equal to mean
vectors of $k-1$ other populations. As an alternative to the preliminary test
estimator based on the test statistic for testing hypothesis of equal means, we
der... | 0 | 0 | 1 | 1 | 0 | 0 |
Non-orthogonal Multiple Access for High-reliable and Low-latency V2X Communications | In this paper, we consider a dense vehicular communication network where each
vehicle broadcasts its safety information to its neighborhood in each
transmission period. Such applications require low latency and high
reliability, and thus, we propose a non-orthogonal multiple access scheme to
reduce the latency and to... | 1 | 0 | 0 | 0 | 0 | 0 |
Cohomology monoids of monoids with coefficients in semimodules II | We relate the old and new cohomology monoids of an arbitrary monoid $M$ with
coefficients in semimodules over $M$, introduced in the author's previous
papers, to monoid and group extensions. More precisely, the old and new second
cohomology monoids describe Schreier extensions of semimodules by monoids, and
the new t... | 0 | 0 | 1 | 0 | 0 | 0 |
Lower Bounds for Higher-Order Convex Optimization | State-of-the-art methods in convex and non-convex optimization employ
higher-order derivative information, either implicitly or explicitly. We
explore the limitations of higher-order optimization and prove that even for
convex optimization, a polynomial dependence on the approximation guarantee and
higher-order smoot... | 1 | 0 | 0 | 1 | 0 | 0 |
Superconductivity in La1-xCexOBiSSe: carrier doping by mixed valence of Ce ions | We report the effects of Ce substitution on structural, electronic, and
magnetic properties of layered bismuth-chalcogenide La1-xCexOBiSSe (x = 0-0.9),
which are newly obtained in this study. Metallic conductivity was observed for
x > 0.1 because of electron carriers induced by mixed valence of Ce ions, as
revealed b... | 0 | 1 | 0 | 0 | 0 | 0 |
Gaussian Processes Over Graphs | We propose Gaussian processes for signals over graphs (GPG) using the apriori
knowledge that the target vectors lie over a graph. We incorporate this
information using a graph- Laplacian based regularization which enforces the
target vectors to have a specific profile in terms of graph Fourier transform
coeffcients, ... | 0 | 0 | 0 | 1 | 0 | 0 |
Differences of Type I error rates for ANOVA and Multilevel-Linear-Models using SAS and SPSS for repeated measures designs | To derive recommendations on how to analyze longitudinal data, we examined
Type I error rates of Multilevel Linear Models (MLM) and repeated measures
Analysis of Variance (rANOVA) using SAS and SPSS.We performed a simulation with
the following specifications: To explore the effects of high numbers of
measurement occa... | 0 | 0 | 0 | 1 | 0 | 0 |
Efficient algorithms for Bayesian Nearest Neighbor Gaussian Processes | We consider alternate formulations of recently proposed hierarchical Nearest
Neighbor Gaussian Process (NNGP) models (Datta et al., 2016a) for improved
convergence, faster computing time, and more robust and reproducible Bayesian
inference. Algorithms are defined that improve CPU memory management and
exploit existin... | 0 | 0 | 0 | 1 | 0 | 0 |
Variegation and space weathering on asteroid 21 Lutetia | During the flyby in 2010, the OSIRIS camera on-board Rosetta acquired
hundreds of high-resolution images of asteroid Lutetia's surface through a
range of narrow-band filters. While Lutetia appears very bland in the visible
wavelength range, Magrin et al. (2012) tentatively identified UV color
variations in the Baetic... | 0 | 1 | 0 | 0 | 0 | 0 |
Rokhlin dimension for compact quantum group actions | We show that, for a given compact or discrete quantum group $G$, the class of
actions of $G$ on C*-algebras is first-order axiomatizable in the logic for
metric structures. As an application, we extend the notion of Rokhlin property
for $G$-C*-algebra, introduced by Barlak, Szabó, and Voigt in the case when
$G$ is se... | 0 | 0 | 1 | 0 | 0 | 0 |
Parametric Identification Using Weighted Null-Space Fitting | In identification of dynamical systems, the prediction error method using a
quadratic cost function provides asymptotically efficient estimates under
Gaussian noise and additional mild assumptions, but in general it requires
solving a non-convex optimization problem. An alternative class of methods uses
a non-paramet... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning Large-Scale Bayesian Networks with the sparsebn Package | Learning graphical models from data is an important problem with wide
applications, ranging from genomics to the social sciences. Nowadays datasets
often have upwards of thousands---sometimes tens or hundreds of thousands---of
variables and far fewer samples. To meet this challenge, we have developed a
new R package ... | 1 | 0 | 0 | 1 | 0 | 0 |
An Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits | We consider restless multi-armed bandit (RMAB) with a finite horizon and
multiple pulls per period. Leveraging the Lagrangian relaxation, we approximate
the problem with a collection of single arm problems. We then propose an
index-based policy that uses optimal solutions of the single arm problems to
index individua... | 0 | 0 | 1 | 0 | 0 | 0 |
Effective holographic theory of charge density waves | We use Gauge/Gravity duality to write down an effective low energy
holographic theory of charge density waves. We consider a simple gravity model
which breaks translations spontaneously in the dual field theory in a
homogeneous manner, capturing the low energy dynamics of phonons coupled to
conserved currents. We fir... | 0 | 1 | 0 | 0 | 0 | 0 |
Interactive Certificates for Polynomial Matrices with Sub-Linear Communication | We develop and analyze new protocols to verify the correctness of various
computations on matrices over F[x], where F is a field. The properties we
verify concern an F[x]-module and therefore cannot simply rely on
previously-developed linear algebra certificates which work only for vector
spaces. Our protocols are in... | 1 | 0 | 0 | 0 | 0 | 0 |
Cost Functions for Robot Motion Style | We focus on autonomously generating robot motion for day to day physical
tasks that is expressive of a certain style or emotion. Because we seek
generalization across task instances and task types, we propose to capture
style via cost functions that the robot can use to augment its nominal task
cost and task constrai... | 1 | 0 | 0 | 0 | 0 | 0 |
Revealing the basins of convergence in the planar equilateral restricted four-body problem | The planar equilateral restricted four-body problem where two of the
primaries have equal masses is used in order to determine the Newton-Raphson
basins of convergence associated with the equilibrium points. The parametric
variation of the position of the libration points is monitored when the value
of the mass param... | 0 | 1 | 0 | 0 | 0 | 0 |
The Eccentric Kozai-Lidov mechanism for Outer Test Particle | The secular approximation of the hierarchical three body systems has been
proven to be very useful in addressing many astrophysical systems, from
planets, stars to black holes. In such a system two objects are on a tight
orbit, and the tertiary is on a much wider orbit. Here we study the dynamics of
a system by takin... | 0 | 1 | 0 | 0 | 0 | 0 |
A more symmetric picture for Kasparov's KK-bifunctor | For C*-algebras $A$ and $B$, we generalize the notion of a quasihomomorphism
from $A$ to $B$, due to Cuntz, by considering quasihomomorphisms from some
C*-algebra $C$ to $B$ such that $C$ surjects onto $A$, and the two maps forming
a quasihomomorphism agree on the kernel of this surjection. Under an additional
assump... | 0 | 0 | 1 | 0 | 0 | 0 |
Spot dynamics in a reaction-diffusion model of plant root hair initiation | We study pattern formation in a 2-D reaction-diffusion (RD) sub-cellular
model characterizing the effect of a spatial gradient of a plant hormone
distribution on a family of G-proteins associated with root-hair (RH)
initiation in the plant cell Arabidopsis thaliana. The activation of these
G-proteins, known as the Rh... | 0 | 1 | 0 | 0 | 0 | 0 |
Incorporating Covariates into Integrated Factor Analysis of Multi-View Data | In modern biomedical research, it is ubiquitous to have multiple data sets
measured on the same set of samples from different views (i.e., multi-view
data). For example, in genetic studies, multiple genomic data sets at different
molecular levels or from different cell types are measured for a common set of
individua... | 0 | 0 | 0 | 1 | 0 | 0 |
Batch-normalized joint training for DNN-based distant speech recognition | Improving distant speech recognition is a crucial step towards flexible
human-machine interfaces. Current technology, however, still exhibits a lack of
robustness, especially when adverse acoustic conditions are met. Despite the
significant progress made in the last years on both speech enhancement and
speech recogni... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects | This paper describes a preliminary study for producing and distributing a
large-scale database of embeddings from the Portuguese Twitter stream. We start
by experimenting with a relatively small sample and focusing on three
challenges: volume of training data, vocabulary size and intrinsic evaluation
metrics. Using a... | 1 | 0 | 0 | 0 | 0 | 0 |
A temperate exo-Earth around a quiet M dwarf at 3.4 parsecs | The combination of high-contrast imaging and high-dispersion spectroscopy,
which has successfully been used to detect the atmosphere of a giant planet, is
one of the most promising potential probes of the atmosphere of Earth-size
worlds. The forthcoming generation of extremely large telescopes (ELTs) may
obtain suffi... | 0 | 1 | 0 | 0 | 0 | 0 |
Manifold Based Low-rank Regularization for Image Restoration and Semi-supervised Learning | Low-rank structures play important role in recent advances of many problems
in image science and data science. As a natural extension of low-rank
structures for data with nonlinear structures, the concept of the
low-dimensional manifold structure has been considered in many data processing
problems. Inspired by this ... | 1 | 0 | 1 | 0 | 0 | 0 |
History-aware Autonomous Exploration in Confined Environments using MAVs | Many scenarios require a robot to be able to explore its 3D environment
online without human supervision. This is especially relevant for inspection
tasks and search and rescue missions. To solve this high-dimensional path
planning problem, sampling-based exploration algorithms have proven successful.
However, these ... | 1 | 0 | 0 | 0 | 0 | 0 |
A factor-model approach for correlation scenarios and correlation stress-testing | In 2012, JPMorgan accumulated a USD~6.2 billion loss on a credit derivatives
portfolio, the so-called `London Whale', partly as a consequence of
de-correlations of non-perfectly correlated positions that were supposed to
hedge each other. Motivated by this case, we devise a factor model for
correlations that allows f... | 0 | 0 | 0 | 0 | 0 | 1 |
Topology data analysis of critical transitions in financial networks | We develop a topology data analysis-based method to detect early signs for
critical transitions in financial data. From the time-series of multiple stock
prices, we build time-dependent correlation networks, which exhibit topological
structures. We compute the persistent homology associated to these structures
in ord... | 0 | 1 | 1 | 0 | 0 | 0 |
Construction of exact constants of motion and effective models for many-body localized systems | One of the defining features of many-body localization is the presence of
extensively many quasi-local conserved quantities. These constants of motion
constitute a corner-stone to an intuitive understanding of much of the
phenomenology of many-body localized systems arising from effective
Hamiltonians. They may be se... | 0 | 1 | 0 | 0 | 0 | 0 |
Toric manifolds over cyclohedra | We study the action of the dihedral group on the (equivariant) cohomology of
the toric manifolds associated with cycle graphs.
| 0 | 0 | 1 | 0 | 0 | 0 |
Use of Genome Information-Based Potentials to Characterize Human Adaptation | As a living information and communications system, the genome encodes
patterns in single nucleotide polymorphisms (SNPs) reflecting human adaption
that optimizes population survival in differing environments. This paper
mathematically models environmentally induced adaptive forces that quantify
changes in the distrib... | 0 | 0 | 0 | 0 | 1 | 0 |
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