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 |
|---|---|---|---|---|---|---|---|
Local asymptotic equivalence of pure quantum states ensembles and quantum Gaussian white noise | Quantum technology is increasingly relying on specialised statistical
inference methods for analysing quantum measurement data. This motivates the
development of "quantum statistics", a field that is shaping up at the overlap
of quantum physics and "classical" statistics. One of the less investigated
topics to date i... | 0 | 0 | 1 | 1 | 0 | 0 |
Training DNNs with Hybrid Block Floating Point | The wide adoption of DNNs has given birth to unrelenting computing
requirements, forcing datacenter operators to adopt domain-specific
accelerators to train them. These accelerators typically employ densely packed
full precision floating-point arithmetic to maximize performance per area.
Ongoing research efforts seek... | 1 | 0 | 0 | 1 | 0 | 0 |
Unified Spectral Clustering with Optimal Graph | Spectral clustering has found extensive use in many areas. Most traditional
spectral clustering algorithms work in three separate steps: similarity graph
construction; continuous labels learning; discretizing the learned labels by
k-means clustering. Such common practice has two potential flaws, which may
lead to sev... | 1 | 0 | 0 | 1 | 0 | 0 |
The Effect of Mixing on the Observed Metallicity of the Smith Cloud | Measurements of high-velocity clouds' metallicities provide important clues
about their origins, and hence on whether they play a role in fueling ongoing
star formation in the Galaxy. However, accurate interpretation of these
measurements requires compensating for the galactic material that has been
mixed into the cl... | 0 | 1 | 0 | 0 | 0 | 0 |
Semi-Supervised Generation with Cluster-aware Generative Models | Deep generative models trained with large amounts of unlabelled data have
proven to be powerful within the domain of unsupervised learning. Many real
life data sets contain a small amount of labelled data points, that are
typically disregarded when training generative models. We propose the
Cluster-aware Generative M... | 1 | 0 | 0 | 1 | 0 | 0 |
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks | We present a generalization bound for feedforward neural networks in terms of
the product of the spectral norm of the layers and the Frobenius norm of the
weights. The generalization bound is derived using a PAC-Bayes analysis.
| 1 | 0 | 0 | 0 | 0 | 0 |
Tidal viscosity of Enceladus | In the preceding paper (Efroimsky 2017), we derived an expression for the
tidal dissipation rate in a homogeneous near-spherical Maxwell body librating
in longitude. Now, by equating this expression to the outgoing energy flux due
to the vapour plumes, we estimate the mean tidal viscosity of Enceladus, under
the assu... | 0 | 1 | 0 | 0 | 0 | 0 |
MOROCO: The Moldavian and Romanian Dialectal Corpus | In this work, we introduce the MOldavian and ROmanian Dialectal COrpus
(MOROCO), which is freely available for download at
this https URL. The corpus contains 33564 samples of
text (with over 10 million tokens) collected from the news domain. The samples
belong to one of the following six topics: culture, finance, po... | 1 | 0 | 0 | 0 | 0 | 0 |
Linearized Einstein's field equations | From the Einstein field equations, in a weak-field approximation and for
speeds small compared to the speed of light in vacuum, the following system is
obtained \begin{align*}
\nabla \times \overrightarrow{E_g} & =
-\frac{1}{c} \frac{\partial \overrightarrow{B_g}}{\partial t},
\nabla \cdot \overrightarrow{E_g} \;\; &... | 0 | 1 | 0 | 0 | 0 | 0 |
Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted Representations | We propose a novel tree classification system called Treelogy, that fuses
deep representations with hand-crafted features obtained from leaf images to
perform leaf-based plant classification. Key to this system are segmentation of
the leaf from an untextured background, using convolutional neural networks
(CNNs) for ... | 1 | 0 | 0 | 0 | 0 | 0 |
Simulation and stability analysis of oblique shock wave/boundary layer interactions at Mach 5.92 | We investigate flow instability created by an oblique shock wave impinging on
a Mach 5.92 laminar boundary layer at a transitional Reynolds number. The
adverse pressure gradient of the oblique shock causes the boundary layer to
separate from the wall, resulting in the formation of a recirculation bubble.
For sufficie... | 0 | 1 | 0 | 0 | 0 | 0 |
Notes on rate equations in nonlinear continuum mechanics | The paper gives an introduction to rate equations in nonlinear continuum
mechanics which should obey specific transformation rules. Emphasis is placed
on the geometrical nature of the operations involved in order to clarify the
different concepts. The paper is particularly concerned with common classes of
constitutiv... | 1 | 1 | 0 | 0 | 0 | 0 |
Streaming PCA and Subspace Tracking: The Missing Data Case | For many modern applications in science and engineering, data are collected
in a streaming fashion carrying time-varying information, and practitioners
need to process them with a limited amount of memory and computational
resources in a timely manner for decision making. This often is coupled with
the missing data p... | 0 | 0 | 0 | 1 | 0 | 0 |
Do altmetrics correlate with the quality of papers? A large-scale empirical study based on F1000Prime data | In this study, we address the question whether (and to what extent,
respectively) altmetrics are related to the scientific quality of papers (as
measured by peer assessments). Only a few studies have previously investigated
the relationship between altmetrics and assessments by peers. In the first
step, we analyse th... | 1 | 0 | 0 | 0 | 0 | 0 |
Introduction to the declination function for gerrymanders | The declination is a quantitative method for identifying possible partisan
gerrymanders by analyzing vote distributions. In this expository note we
explain and motivate the definition of the declination. The minimal computer
code required for computing the declination is included. We end by computing
its value on sev... | 0 | 0 | 0 | 1 | 0 | 0 |
TFDASH: A Fairness, Stability, and Efficiency Aware Rate Control Approach for Multiple Clients over DASH | Dynamic adaptive streaming over HTTP (DASH) has recently been widely deployed
in the Internet and adopted in the industry. It, however, does not impose any
adaptation logic for selecting the quality of video fragments requested by
clients and suffers from lackluster performance with respect to a number of
desirable p... | 1 | 0 | 0 | 0 | 0 | 0 |
Predicting language diversity with complex network | Evolution and propagation of the world's languages is a complex phenomenon,
driven, to a large extent, by social interactions. Multilingual society can be
seen as a system of interacting agents, where the interaction leads to a
modification of the language spoken by the individuals. Two people can reach
the state of ... | 1 | 1 | 0 | 0 | 0 | 0 |
The paradox of Vito Volterra's predator-prey model | This article is dedicated to the late Giorgio Israel. R{é}sum{é}. The aim
of this article is to propose on the one hand a brief history of modeling
starting from the works of Fibonacci, Robert Malthus, Pierre Francis Verhulst
and then Vito Volterra and, on the other hand, to present the main hypotheses
of the very fa... | 0 | 0 | 0 | 0 | 1 | 0 |
Distributive Minimization Comprehensions and the Polynomial Hierarchy | A categorical point of view about minimization in subrecursive classes is
presented by extending the concept of Symmetric Monoidal Comprehension to that
of Distributive Minimization Comprehension. This is achieved by endowing the
former with coproducts and a finality condition for coalgebras over the
endofunctor send... | 1 | 0 | 1 | 0 | 0 | 0 |
On the differentiability of hairs for Zorich maps | Devaney and Krych showed that for the exponential family $\lambda e^z$, where
$0<\lambda <1/e$, the Julia set consists of uncountably many pairwise disjoint
simple curves tending to $\infty$. Viana proved that these curves are smooth.
In this article we consider a quasiregular counterpart of the exponential map,
the ... | 0 | 0 | 1 | 0 | 0 | 0 |
On the Real-time Vehicle Placement Problem | Motivated by ride-sharing platforms' efforts to reduce their riders' wait
times for a vehicle, this paper introduces a novel problem of placing vehicles
to fulfill real-time pickup requests in a spatially and temporally changing
environment. The real-time nature of this problem makes it fundamentally
different from o... | 1 | 0 | 0 | 0 | 0 | 0 |
Energy Harvesting Communication Using Finite-Capacity Batteries with Internal Resistance | Modern systems will increasingly rely on energy harvested from their
environment. Such systems utilize batteries to smoothen out the random
fluctuations in harvested energy. These fluctuations induce highly variable
battery charge and discharge rates, which affect the efficiencies of practical
batteries that typicall... | 1 | 0 | 1 | 0 | 0 | 0 |
A Novel Algorithm for Optimal Electricity Pricing in a Smart Microgrid Network | The evolution of smart microgrid and its demand-response characteristics not
only will change the paradigms of the century-old electric grid but also will
shape the electricity market. In this new market scenario, once always energy
consumers, now may act as sellers due to the excess of energy generated from
newly de... | 1 | 0 | 0 | 0 | 0 | 0 |
A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving | Our premise is that autonomous vehicles must optimize communications and
motion planning jointly. Specifically, a vehicle must adapt its motion plan
staying cognizant of communications rate related constraints and adapt the use
of communications while being cognizant of motion planning related restrictions
that may b... | 1 | 0 | 0 | 0 | 0 | 0 |
Differentially Private High Dimensional Sparse Covariance Matrix Estimation | In this paper, we study the problem of estimating the covariance matrix under
differential privacy, where the underlying covariance matrix is assumed to be
sparse and of high dimensions. We propose a new method, called DP-Thresholding,
to achieve a non-trivial $\ell_2$-norm based error bound, which is
significantly b... | 1 | 0 | 0 | 1 | 0 | 0 |
Stochastic Functional Gradient Path Planning in Occupancy Maps | Planning safe paths is a major building block in robot autonomy. It has been
an active field of research for several decades, with a plethora of planning
methods. Planners can be generally categorised as either trajectory optimisers
or sampling-based planners. The latter is the predominant planning paradigm for
occup... | 1 | 0 | 0 | 0 | 0 | 0 |
MM2RTB: Bringing Multimedia Metrics to Real-Time Bidding | In display advertising, users' online ad experiences are important for the
advertising effectiveness. However, users have not been well accommodated in
real-time bidding (RTB). This further influences their site visits and
perception of the displayed banner ads. In this paper, we propose a novel
computational framewo... | 1 | 0 | 0 | 0 | 0 | 0 |
Generic coexistence of Fermi arcs and Dirac cones on the surface of time-reversal invariant Weyl semimetals | The hallmark of Weyl semimetals is the existence of open constant-energy
contours on their surface -- the so-called Fermi arcs -- connecting Weyl
points. Here, we show that for time-reversal symmetric realizations of Weyl
semimetals these Fermi arcs in many cases coexist with closed Fermi pockets
originating from sur... | 0 | 1 | 0 | 0 | 0 | 0 |
Superfluid Field response to Edge dislocation motion | We study the dynamic response of a superfluid field to a moving edge
dislocation line to which the field is minimally coupled. We use a dissipative
Gross-Pitaevskii equation, and determine the initial conditions by solving the
equilibrium version of the model. We consider the subsequent time evolution of
the field fo... | 0 | 1 | 0 | 0 | 0 | 0 |
Koopman Operator Spectrum and Data Analysis | We examine spectral operator-theoretic properties of linear and nonlinear
dynamical systems with equilibrium and quasi-periodic attractors and use such
properties to characterize a class of datasets and introduce a new notion of
the principal dimension of the data.
| 0 | 1 | 1 | 0 | 0 | 0 |
Exploiting Physical Dynamics to Detect Actuator and Sensor Attacks in Mobile Robots | Mobile robots are cyber-physical systems where the cyberspace and the
physical world are strongly coupled. Attacks against mobile robots can
transcend cyber defenses and escalate into disastrous consequences in the
physical world. In this paper, we focus on the detection of active attacks that
are capable of directly... | 1 | 0 | 0 | 0 | 0 | 0 |
Unsupervised Neural Machine Translation | In spite of the recent success of neural machine translation (NMT) in
standard benchmarks, the lack of large parallel corpora poses a major practical
problem for many language pairs. There have been several proposals to alleviate
this issue with, for instance, triangulation and semi-supervised learning
techniques, bu... | 1 | 0 | 0 | 0 | 0 | 0 |
Geometric Methods for Robust Data Analysis in High Dimension | Machine learning and data analysis now finds both scientific and industrial
application in biology, chemistry, geology, medicine, and physics. These
applications rely on large quantities of data gathered from automated sensors
and user input. Furthermore, the dimensionality of many datasets is extreme:
more details a... | 1 | 0 | 0 | 0 | 0 | 0 |
Modules Over the Ring of Ponderation functions with Applications to a Class of Integral Operators | In this paper we introduce new modules over the ring of ponderation
functions, so we recover old results in harmonic analysis from the side of ring
theory.
Moreover, we prove that Laplace transform, Fourier transform and Hankel
transform generate some kind of modules over the ring of ponderation functions.
| 0 | 0 | 1 | 0 | 0 | 0 |
Strict monotonicity of principal eigenvalues of elliptic operators in $\mathbb{R}^d$ and risk-sensitive control | This paper studies the eigenvalue problem on $\mathbb{R}^d$ for a class of
second order, elliptic operators of the form $\mathscr{L} =
a^{ij}\partial_{x_i}\partial_{x_j} + b^{i}\partial_{x_i} + f$, associated with
non-degenerate diffusions. We show that strict monotonicity of the principal
eigenvalue of the operator ... | 0 | 0 | 1 | 0 | 0 | 0 |
Best Practices for Applying Deep Learning to Novel Applications | This report is targeted to groups who are subject matter experts in their
application but deep learning novices. It contains practical advice for those
interested in testing the use of deep neural networks on applications that are
novel for deep learning. We suggest making your project more manageable by
dividing it ... | 1 | 0 | 0 | 0 | 0 | 0 |
Precision Interfaces | Building interactive tools to support data analysis is hard because it is not
always clear what to build and how to build it. To address this problem, we
present Precision Interfaces, a semi-automatic system to generate task-specific
data analytics interfaces. Precision Interface can turn a log of executed
programs i... | 1 | 0 | 0 | 0 | 0 | 0 |
Gaussian Approximation of a Risk Model with Stationary Hawkes Arrivals of Claims | We consider a classical risk process with arrival of claims following a
stationary Hawkes process. We study the asymptotic regime when the premium rate
and the baseline intensity of the claims arrival process are large, and claim
size is small. The main goal of this article is to establish a diffusion
approximation b... | 0 | 0 | 0 | 0 | 0 | 1 |
Data Modelling for the Evaluation of Virtualized Network Functions Resource Allocation Algorithms | To conduct a more realistic evaluation on Virtualized Network Functions
resource allocation algorithms, researches needed data on: (1) potential NFs
chains (policies), (2) traffic flows passing through these NFs chains, (3) how
the dynamic traffic changes affect the NFs (scale out/in) and (4) different
data center ar... | 1 | 0 | 0 | 0 | 0 | 0 |
Understanding Negations in Information Processing: Learning from Replicating Human Behavior | Information systems experience an ever-growing volume of unstructured data,
particularly in the form of textual materials. This represents a rich source of
information from which one can create value for people, organizations and
businesses. For instance, recommender systems can benefit from automatically
understandi... | 1 | 0 | 0 | 1 | 0 | 0 |
A study of sliding motion of a solid body on a rough surface with asymmetric friction | Recent studies show interest in materials with asymmetric friction forces. We
investigate terminal motion of a solid body with circular contact area. We
assume that friction forces are asymmetric orthotropic. Two cases of pressure
distribution are analyzed: Hertz and Boussinesq laws. Equations for friction
force and ... | 0 | 1 | 0 | 0 | 0 | 0 |
Fisher information matrix of binary time series | A common approach to analyzing categorical correlated time series data is to
fit a generalized linear model (GLM) with past data as covariate inputs. There
remain challenges to conducting inference for short time series length. By
treating the historical data as covariate inputs, standard errors of estimates
of GLM p... | 0 | 0 | 1 | 1 | 0 | 0 |
A Fourier analytic approach to inhomogeneous Diophantine approximation | In this paper, we study inhomogeneous Diophantine approximation with rational
numbers of reduced form. The central object to study is the set $W(f,\theta)$
as follows, \begin{eqnarray*} \left\{x\in [0,1]:\left
|x-\frac{m+\theta(n)}{n}\right|<\frac{f(n)}{n}\text{ for infinitely many
coprime pairs of numbers } m,n\righ... | 0 | 0 | 1 | 0 | 0 | 0 |
Screening in perturbative approaches to LSS | A specific value for the cosmological constant, \Lambda, can account for
late-time cosmic acceleration. However, motivated by the so-called cosmological
constant problem(s), several alternative mechanisms have been explored. To
date, a host of well-studied dynamical dark energy and modified gravity models
exists. Goi... | 0 | 1 | 0 | 0 | 0 | 0 |
Thin films with precisely engineered nanostructures | Synthesis of rationally designed nanostructured materials with optimized
mechanical properties, e.g., high strength with considerable ductility,
requires rigorous control of diverse microstructural parameters including the
mean size, size dispersion and spatial distribution of grains. However,
currently available syn... | 0 | 1 | 0 | 0 | 0 | 0 |
End-to-End Network Delay Guarantees for Real-Time Systems using SDN | We propose a novel framework that reduces the management and integration
overheads for real-time network flows by leveraging the capabilities
(especially global visibility and management) of software-defined networking
(SDN) architectures. Given the specifications of flows that must meet hard
real-time requirements, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Efficient cold outflows driven by cosmic rays in high redshift galaxies and their global effects on the IGM | We present semi-analytical models of galactic outflows in high redshift
galaxies driven by both hot thermal gas and non-thermal cosmic rays. Thermal
pressure alone may not sustain a large scale outflow in low mass galaxies (i.e
$M\sim 10^8$~M$_\odot$), in the presence of supernovae (SNe) feedback with
large mass load... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers | Learning algorithms that learn linear models often have high representation
bias on real-world problems. In this paper, we show that this representation
bias can be greatly reduced by discretization. Discretization is a common
procedure in machine learning that is used to convert a quantitative attribute
into a quali... | 1 | 0 | 0 | 0 | 0 | 0 |
Kustaanheimo-Stiefel transformation with an arbitrary defining vector | Kustaanheimo-Stiefel (KS) transformation depends on the choice of some
preferred direction in the Cartesian 3D space. This choice, seldom explicitly
mentioned, amounts typically to the direction of the first or the third
coordinate axis in celestial mechanics and atomic physics, respectively. The
present work develop... | 0 | 0 | 1 | 0 | 0 | 0 |
A dynamic game approach to distributionally robust safety specifications for stochastic systems | This paper presents a new safety specification method that is robust against
errors in the probability distribution of disturbances. Our proposed
distributionally robust safe policy maximizes the probability of a system
remaining in a desired set for all times, subject to the worst possible
disturbance distribution i... | 1 | 0 | 1 | 0 | 0 | 0 |
Entity Linking for Queries by Searching Wikipedia Sentences | We present a simple yet effective approach for linking entities in queries.
The key idea is to search sentences similar to a query from Wikipedia articles
and directly use the human-annotated entities in the similar sentences as
candidate entities for the query. Then, we employ a rich set of features, such
as link-pr... | 1 | 0 | 0 | 0 | 0 | 0 |
Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest | Reinforcement Learning AI commonly uses reward/penalty signals that are
objective and explicit in an environment -- e.g. game score, completion time,
etc. -- in order to learn the optimal strategy for task performance. However,
Human-AI interaction for such AI agents should include additional reinforcement
that is im... | 1 | 0 | 0 | 1 | 0 | 0 |
Relational recurrent neural networks | Memory-based neural networks model temporal data by leveraging an ability to
remember information for long periods. It is unclear, however, whether they
also have an ability to perform complex relational reasoning with the
information they remember. Here, we first confirm our intuitions that standard
memory architect... | 0 | 0 | 0 | 1 | 0 | 0 |
A Scalable Discrete-Time Survival Model for Neural Networks | There is currently great interest in applying neural networks to prediction
tasks in medicine. It is important for predictive models to be able to use
survival data, where each patient has a known follow-up time and
event/censoring indicator. This avoids information loss when training the model
and enables generation... | 0 | 0 | 0 | 1 | 0 | 0 |
A driven-dissipative spin chain model based on exciton-polariton condensates | An infinite chain of driven-dissipative condensate spins with uniform
nearest-neighbor coherent coupling is solved analytically and investigated
numerically. Above a critical occupation threshold the condensates undergo
spontaneous spin bifurcation (becoming magnetized) forming a binary chain of
spin-up or spin-down ... | 0 | 1 | 0 | 0 | 0 | 0 |
Projected Primal-Dual Gradient Flow of Augmented Lagrangian with Application to Distributed Maximization of the Algebraic Connectivity of a Network | In this paper, a projected primal-dual gradient flow of augmented Lagrangian
is presented to solve convex optimization problems that are not necessarily
strictly convex. The optimization variables are restricted by a convex set with
computable projection operation on its tangent cone as well as equality
constraints. ... | 0 | 0 | 1 | 0 | 0 | 0 |
A Short Note on Almost Sure Convergence of Bayes Factors in the General Set-Up | Although there is a significant literature on the asymptotic theory of Bayes
factor, the set-ups considered are usually specialized and often involves
independent and identically distributed data. Even in such specialized cases,
mostly weak consistency results are available. In this article, for the first
time ever, ... | 0 | 0 | 1 | 1 | 0 | 0 |
Rainbow matchings in properly-coloured multigraphs | Aharoni and Berger conjectured that in any bipartite multigraph that is
properly edge-coloured by $n$ colours with at least $n + 1$ edges of each
colour there must be a matching that uses each colour exactly once. In this
paper we consider the same question without the bipartiteness assumption. We
show that in any mu... | 1 | 0 | 0 | 0 | 0 | 0 |
Recursive computation of the invariant distribution of Markov and Feller processes | This paper provides a general and abstract approach to approximate ergodic
regimes of Markov and Feller processes. More precisely, we show that the
recursive algorithm presented in Lamberton & Pages (2002) and based on
simulation algorithms of stochastic schemes with decreasing step can be used to
build invariant mea... | 0 | 0 | 1 | 0 | 0 | 0 |
Secondary resonances and the boundary of effective stability of Trojan motions | One of the most interesting features in the libration domain of co-orbital
motions is the existence of secondary resonances. For some combinations of
physical parameters, these resonances occupy a large fraction of the domain of
stability and rule the dynamics within the stable tadpole region. In this work,
we presen... | 0 | 1 | 0 | 0 | 0 | 0 |
Qualitative Measurements of Policy Discrepancy for Return-based Deep Q-Network | The deep Q-network (DQN) and return-based reinforcement learning are two
promising algorithms proposed in recent years. DQN brings advances to complex
sequential decision problems, while return-based algorithms have advantages in
making use of sample trajectories. In this paper, we propose a general
framework to comb... | 0 | 0 | 0 | 1 | 0 | 0 |
Probabilistic Constraints on the Mass and Composition of Proxima b | Recent studies regarding the habitability, observability, and possible
orbital evolution of the indirectly detected exoplanet Proxima b have mostly
assumed a planet with $M \sim 1.3$ $M_\oplus$, a rocky composition, and an
Earth-like atmosphere or none at all. In order to assess these assumptions, we
use previous stu... | 0 | 1 | 0 | 0 | 0 | 0 |
Explicit Salem sets, Fourier restriction, and metric Diophantine approximation in the $p$-adic numbers | We exhibit the first explicit examples of Salem sets in $\mathbb{Q}_p$ of
every dimension $0 < \alpha < 1$ by showing that certain sets of
well-approximable $p$-adic numbers are Salem sets. We construct measures
supported on these sets that satisfy essentially optimal Fourier decay and
upper regularity conditions, an... | 0 | 0 | 1 | 0 | 0 | 0 |
Tunneling of the hard-core model on finite triangular lattices | We consider the hard-core model on finite triangular lattices with Metropolis
dynamics. Under suitable conditions on the triangular lattice dimensions, this
interacting particle system has three maximum-occupancy configurations and we
investigate its high-fugacity behavior by studying tunneling times, i.e., the
first... | 0 | 1 | 1 | 0 | 0 | 0 |
Spectral State Compression of Markov Processes | Model reduction of the Markov process is a basic problem in modeling
state-transition systems. Motivated by the state aggregation approach rooted in
control theory, we study the statistical state compression of a finite-state
Markov chain from empirical trajectories. Through the lens of spectral
decomposition, we stu... | 0 | 0 | 0 | 1 | 0 | 0 |
Multi-band characterization of the hot Jupiters: WASP-5b, WASP-44b and WASP-46b | We have carried out a campaign to characterize the hot Jupiters WASP-5b,
WASP-44b and WASP-46b using multiband photometry collected at the
Observatório do Pico Dos Dias in Brazil. We have determined the planetary
physical properties and new transit ephemerides for these systems. The new
orbital parameters and physica... | 0 | 1 | 0 | 0 | 0 | 0 |
Non-Fermi liquid at the FFLO quantum critical point | When a 2D superconductor is subjected to a strong in-plane magnetic field,
Zeeman polarization of the Fermi surface can give rise to inhomogeneous FFLO
order with a spatially modulated gap. Further increase of the magnetic field
eventually drives the system into a normal metal state. Here, we perform a
renormalizatio... | 0 | 1 | 0 | 0 | 0 | 0 |
Unsupervised Ensemble Regression | Consider a regression problem where there is no labeled data and the only
observations are the predictions $f_i(x_j)$ of $m$ experts $f_{i}$ over many
samples $x_j$. With no knowledge on the accuracy of the experts, is it still
possible to accurately estimate the unknown responses $y_{j}$? Can one still
detect the le... | 1 | 0 | 0 | 1 | 0 | 0 |
Accurate approximation of the distributions of the 3D Poisson-Voronoi typical cell geometrical features | Although Poisson-Voronoi diagrams have interesting mathematical properties,
there is still much to discover about the geometrical properties of its grains.
Through simulations, many authors were able to obtain numerical approximations
of the moments of the distributions of more or less all geometrical
characteristics... | 0 | 0 | 0 | 1 | 0 | 0 |
Flux-Stabilized Majorana Zero Modes in Coupled One-Dimensional Fermi Wires | One promising avenue to study one-dimensional ($1$D) topological phases is to
realize them in synthetic materials such as cold atomic gases. Intriguingly, it
is possible to realize Majorana boundary modes in a $1$D number-conserving
system consisting of two fermionic chains coupled only by pair-hopping
processes. It ... | 0 | 1 | 0 | 0 | 0 | 0 |
Nonlinear Kalman Filtering for Censored Observations | The use of Kalman filtering, as well as its nonlinear extensions, for the
estimation of system variables and parameters has played a pivotal role in many
fields of scientific inquiry where observations of the system are restricted to
a subset of variables. However in the case of censored observations, where
measureme... | 0 | 0 | 1 | 1 | 0 | 0 |
Advances in Atomic Resolution In Situ Environmental Transmission Electron Microscopy and 1 Angstrom Aberration Corrected In Situ Electron Microscopy | Advances in atomic resolution in situ environmental transmission electron
microscopy for direct probing of gas-solid reactions, including at very high
temperatures are described. In addition, recent developments of dynamic real
time in situ studies at the Angstrom level using a hot stage in an aberration
corrected en... | 0 | 1 | 0 | 0 | 0 | 0 |
An improved high order finite difference method for non-conforming grid interfaces for the wave equation | This paper presents an extension of a recently developed high order finite
difference method for the wave equation on a grid with non-conforming
interfaces. The stability proof of the existing methods relies on the
interpolation operators being norm-contracting, which is satisfied by the
second and fourth order opera... | 0 | 0 | 1 | 0 | 0 | 0 |
Refined estimates for simple blow-ups of the scalar curvature equation on S^n | In their work on a sharp compactness theorem for the Yamabe problem, Khuri,
Marques and Schoen apply a refined blow-up analysis (what we call `second order
blow-up argument' in this article) to obtain highly accurate approximate
solutions for the Yamabe equation. As for the conformal scalar curvature
equation on S^n ... | 0 | 0 | 1 | 0 | 0 | 0 |
The discrete logarithm problem over prime fields: the safe prime case. The Smart attack, non-canonical lifts and logarithmic derivatives | In this brief note we connect the discrete logarithm problem over prime
fields in the safe prime case to the logarithmic derivative.
| 1 | 0 | 1 | 0 | 0 | 0 |
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model | Convolutional neural networks (CNNs) can be applied to graph similarity
matching, in which case they are called graph CNNs. Graph CNNs are attracting
increasing attention due to their effectiveness and efficiency. However, the
existing convolution approaches focus only on regular data forms and require
the transfer o... | 1 | 0 | 0 | 1 | 0 | 0 |
Profile Estimation for Partial Functional Partially Linear Single-Index Model | This paper studies a \textit{partial functional partially linear single-index
model} that consists of a functional linear component as well as a linear
single-index component. This model generalizes many well-known existing models
and is suitable for more complicated data structures. However, its estimation
inherits ... | 0 | 0 | 1 | 1 | 0 | 0 |
Optimal $k$-Coverage Charging Problem | Wireless rechargeable sensor networks, consisting of sensor nodes with
rechargeable batteries and mobile chargers to replenish their batteries, have
gradually become a promising solution to the bottleneck of energy limitation
that hinders the wide deployment of wireless sensor networks (WSN). In this
paper, we focus ... | 1 | 0 | 0 | 0 | 0 | 0 |
Facebook's gender divide | Online social media are information resources that can have a transformative
power in society. While the Web was envisioned as an equalizing force that
allows everyone to access information, the digital divide prevents large
amounts of people from being present online. Online social media in particular
are prone to g... | 1 | 0 | 0 | 0 | 0 | 0 |
Knowing the past improves cooperation in the future | Cooperation is the cornerstone of human evolutionary success. Like no other
species, we champion the sacrifice of personal benefits for the common good,
and we work together to achieve what we are unable to achieve alone. Knowledge
and information from past generations is thereby often instrumental in ensuring
we kee... | 1 | 0 | 0 | 0 | 1 | 0 |
BMO estimate of lacunary Fourier series on nonabelian discrete groups | We show that the classical equivalence between the BMO norm and the $L^2$
norm of a lacunary Fourier series has an analogue on any discrete group $G$
equipped with a conditionally negative function.
| 0 | 0 | 1 | 0 | 0 | 0 |
Multi-objective training of Generative Adversarial Networks with multiple discriminators | Recent literature has demonstrated promising results for training Generative
Adversarial Networks by employing a set of discriminators, in contrast to the
traditional game involving one generator against a single adversary. Such
methods perform single-objective optimization on some simple consolidation of
the losses,... | 1 | 0 | 0 | 1 | 0 | 0 |
Application of Surface Coil for Nuclear Magnetic Resonance Studies of Semi-conducting Thin Films | We conduct a comprehensive set of tests of performance of surface coils used
for nuclear magnetic resonance (NMR) study of quasi 2-dimensional samples. We
report ${^{115} \rm{In}}$ and ${^{31} \rm{P}}$ NMR measurements on InP,
semi-conducting thin substrate samples. Surface coils of both zig-zag
meander-line and conc... | 0 | 1 | 0 | 0 | 0 | 0 |
A universal coarse K-theory | In this paper, we construct an equivariant coarse homology theory with values
in the category of non-commutative motives of Blumberg, Gepner and Tabuada,
with coefficients in any small additive category. Equivariant coarse K-theory
is obtained from the latter by passing to global sections. The present
construction ex... | 0 | 0 | 1 | 0 | 0 | 0 |
Parameters of Three Selected Model Galactic Potentials Based on the Velocities of Objects at Distances up to 200 kpc | This paper is a continuation of our recent paper devoted to refining the
parameters of three component (bulge, disk, halo) axisymmetric model Galactic
gravitational potentials differing by the expression for the dark matter halo
using the velocities of distant objects. In all models the bulge and disk
potentials are ... | 0 | 1 | 0 | 0 | 0 | 0 |
Giant Thermal Conductivity Enhancement in Multilayer MoS2 under Highly Compressive Strain | Multilayer MoS2 possesses highly anisotropic thermal conductivities along
in-plane and cross-plane directions that could hamper heat dissipation in
electronics. With about 9% cross-plane compressive strain created by
hydrostatic pressure in a diamond anvil cell, we observed about 12 times
increase in the cross-plane ... | 0 | 1 | 0 | 0 | 0 | 0 |
Interrogation of spline surfaces with application to isogeometric design and analysis of lattice-skin structures | A novel surface interrogation technique is proposed to compute the
intersection of curves with spline surfaces in isogeometric analysis. The
intersection points are determined in one-shot without resorting to a
Newton-Raphson iteration or successive refinement. Surface-curve intersection
requires usually the solution... | 1 | 0 | 0 | 0 | 0 | 0 |
On recursive computation of coprime factorizations of rational matrices | We propose general computational procedures based on descriptor state-space
realizations to compute coprime factorizations of rational matrices with
minimum degree denominators. Enhanced recursive pole dislocation techniques are
developed, which allow to successively place all poles of the factors into a
given "good"... | 1 | 0 | 1 | 0 | 0 | 0 |
On Dark Matter Interactions with the Standard Model through an Anomalous $Z'$ | We study electroweak scale Dark Matter (DM) whose interactions with baryonic
matter are mediated by a heavy anomalous $Z'$. We emphasize that when the DM is
a Majorana particle, its low-velocity annihilations are dominated by loop
suppressed annihilations into the gauge bosons, rather than by p-wave or
chirally suppr... | 0 | 1 | 0 | 0 | 0 | 0 |
Spin diffusion from an inhomogeneous quench in an integrable system | Generalised hydrodynamics predicts universal ballistic transport in
integrable lattice systems when prepared in generic inhomogeneous initial
states. However, the ballistic contribution to transport can vanish in systems
with additional discrete symmetries. Here we perform large scale numerical
simulations of spin dy... | 0 | 1 | 0 | 0 | 0 | 0 |
Morphological Simplification of Archaeological Fracture Surfaces | We propose to employ scale spaces of mathematical morphology to
hierarchically simplify fracture surfaces of complementarily fitting
archaeological fragments. This representation preserves contact and is
insensitive to different kinds of abrasion affecting the exact complementarity
of the original fragments. We prese... | 1 | 0 | 0 | 0 | 0 | 0 |
A note on a separating system of rational invariants for finite dimensional generic algebras | The paper deals with a construction of a separating system of rational
invariants for finite dimensional generic algebras. In the process of dealing
an approach to a rough classification of finite dimensional algebras is offered
by attaching them some quadratic forms.
| 0 | 0 | 1 | 0 | 0 | 0 |
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning | In this paper we present a method for simultaneously segmenting brain tumors
and an extensive set of organs-at-risk for radiation therapy planning of
glioblastomas. The method combines a contrast-adaptive generative model for
whole-brain segmentation with a new spatial regularization model of tumor shape
using convol... | 0 | 0 | 0 | 1 | 0 | 0 |
Protein Pattern Formation | Protein pattern formation is essential for the spatial organization of many
intracellular processes like cell division, flagellum positioning, and
chemotaxis. A prominent example of intracellular patterns are the oscillatory
pole-to-pole oscillations of Min proteins in \textit{E. coli} whose biological
function is to... | 0 | 0 | 0 | 0 | 1 | 0 |
What do we need to build explainable AI systems for the medical domain? | Artificial intelligence (AI) generally and machine learning (ML) specifically
demonstrate impressive practical success in many different application domains,
e.g. in autonomous driving, speech recognition, or recommender systems. Deep
learning approaches, trained on extremely large data sets or using
reinforcement le... | 1 | 0 | 0 | 1 | 0 | 0 |
Targeted matrix completion | Matrix completion is a problem that arises in many data-analysis settings
where the input consists of a partially-observed matrix (e.g., recommender
systems, traffic matrix analysis etc.). Classical approaches to matrix
completion assume that the input partially-observed matrix is low rank. The
success of these metho... | 1 | 0 | 0 | 1 | 0 | 0 |
Coresets for Dependency Networks | Many applications infer the structure of a probabilistic graphical model from
data to elucidate the relationships between variables. But how can we train
graphical models on a massive data set? In this paper, we show how to construct
coresets -compressed data sets which can be used as proxy for the original data
and ... | 1 | 0 | 0 | 1 | 0 | 0 |
Relative stability of a ferroelectric state in (Na0.5Bi0.5)TiO3-based compounds under substitutions: Role of a tolerance factor in expansion of the temperature interval of stable ferroelectric state | The influence of the B-site ion substitutions in
(1-x)(Bi1/2Na1/2)TiO3-xBaTiO3 system of solid solutions on the relative
stability of the ferroelectric and antiferroelectric phases has been studied.
The ions of zirconium, tin, along with (In0.5Nb0.5), (Fe0.5Nb0.5), (Al0.5V0.5)
ion complexes have been used as substitu... | 0 | 1 | 0 | 0 | 0 | 0 |
Data-driven modelling and validation of aircraft inbound-stream at some major European airports | This paper presents an exhaustive study on the arrivals process at eight
important European airports. Using inbound traffic data, we define, compare,
and contrast a data-driven Poisson and PSRA point process. Although, there is
sufficient evidence that the interarrivals might follow an exponential
distribution, this ... | 0 | 0 | 0 | 1 | 0 | 0 |
Exact evolution equation for the effective potential | We derive a new exact evolution equation for the scale dependence of an
effective action. The corresponding equation for the effective potential
permits a useful truncation. This allows one to deal with the infrared problems
of theories with massless modes in less than four dimensions which are relevant
for the high ... | 0 | 1 | 0 | 0 | 0 | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.