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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High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks | Advances in deep learning for natural images have prompted a surge of
interest in applying similar techniques to medical images. The majority of the
initial attempts focused on replacing the input of a deep convolutional neural
network with a medical image, which does not take into consideration the
fundamental diffe... | 1 | 0 | 0 | 1 | 0 | 0 |
Adaptive posterior contraction rates for the horseshoe | We investigate the frequentist properties of Bayesian procedures for
estimation based on the horseshoe prior in the sparse multivariate normal means
model. Previous theoretical results assumed that the sparsity level, that is,
the number of signals, was known. We drop this assumption and characterize the
behavior of ... | 0 | 0 | 1 | 1 | 0 | 0 |
A Convex Optimization Approach to Dynamic Programming in Continuous State and Action Spaces | A convex optimization-based method is proposed to numerically solve dynamic
programs in continuous state and action spaces. This approach using a
discretization of the state space has the following salient features. First, by
introducing an auxiliary optimization variable that assigns the contribution of
each grid po... | 1 | 0 | 0 | 0 | 0 | 0 |
Investigating Enactive Learning for Autonomous Intelligent Agents | The enactive approach to cognition is typically proposed as a viable
alternative to traditional cognitive science. Enactive cognition displaces the
explanatory focus from the internal representations of the agent to the direct
sensorimotor interaction with its environment. In this paper, we investigate
enactive learn... | 1 | 0 | 0 | 0 | 0 | 0 |
Computability of semicomputable manifolds in computable topological spaces | We study computable topological spaces and semicomputable and computable sets
in these spaces. In particular, we investigate conditions under which
semicomputable sets are computable. We prove that a semicomputable compact
manifold $M$ is computable if its boundary $\partial M$ is computable. We also
show how this re... | 1 | 0 | 1 | 0 | 0 | 0 |
Acoustic streaming and its suppression in inhomogeneous fluids | We present a theoretical and experimental study of boundary-driven acoustic
streaming in an inhomogeneous fluid with variations in density and
compressibility. In a homogeneous fluid this streaming results from dissipation
in the boundary layers (Rayleigh streaming). We show that in an inhomogeneous
fluid, an additio... | 0 | 1 | 0 | 0 | 0 | 0 |
Predicting Pulsar Scintillation from Refractive Plasma Sheets | The dynamic and secondary spectra of many pulsars show evidence for
long-lived, aligned images of the pulsar that are stationary on a thin
scattering sheet. One explanation for this phenomenon considers the effects of
wave crests along sheets in the ionized interstellar medium, such as those due
to Alfvén waves propa... | 0 | 1 | 0 | 0 | 0 | 0 |
Disruptive Behavior Disorder (DBD) Rating Scale for Georgian Population | In the presented study Parent/Teacher Disruptive Behavior Disorder (DBD)
rating scale based on the Diagnostic and Statistical Manual of Mental Disorders
(DSM-IV-TR [APA, 2000]) which was developed by Pelham and his colleagues
(Pelham et al., 1992) was translated and adopted for assessment of childhood
behavioral abno... | 0 | 0 | 0 | 1 | 0 | 0 |
A GPU Poisson-Fermi Solver for Ion Channel Simulations | The Poisson-Fermi model is an extension of the classical Poisson-Boltzmann
model to include the steric and correlation effects of ions and water treated
as nonuniform spheres in aqueous solutions. Poisson-Boltzmann electrostatic
calculations are essential but computationally very demanding for molecular
dynamics or c... | 0 | 1 | 0 | 0 | 0 | 0 |
Quantum Monte Carlo with variable spins: fixed-phase and fixed-node approximations | We study several aspects of the recently introduced fixed-phase spin-orbit
diffusion Monte Carlo (FPSODMC) method, in particular, its relation to the
fixed-node method and its potential use as a general approach for electronic
structure calculations. We illustrate constructions of spinor-based wave
functions with the... | 0 | 1 | 0 | 0 | 0 | 0 |
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise | We introduce coroICA, confounding-robust independent component analysis, a
novel ICA algorithm which decomposes linearly mixed multivariate observations
into independent components that are corrupted (and rendered dependent) by
hidden group-wise stationary confounding. It extends the ordinary ICA model in
a theoretic... | 0 | 0 | 0 | 1 | 1 | 0 |
Diversification-Based Learning in Computing and Optimization | Diversification-Based Learning (DBL) derives from a collection of principles
and methods introduced in the field of metaheuristics that have broad
applications in computing and optimization. We show that the DBL framework goes
significantly beyond that of the more recent Opposition-based learning (OBL)
framework intr... | 1 | 0 | 0 | 0 | 0 | 0 |
A Tutorial on Canonical Correlation Methods | Canonical correlation analysis is a family of multivariate statistical
methods for the analysis of paired sets of variables. Since its proposition,
canonical correlation analysis has for instance been extended to extract
relations between two sets of variables when the sample size is insufficient in
relation to the d... | 1 | 0 | 0 | 1 | 0 | 0 |
Towards Neural Co-Processors for the Brain: Combining Decoding and Encoding in Brain-Computer Interfaces | The field of brain-computer interfaces is poised to advance from the
traditional goal of controlling prosthetic devices using brain signals to
combining neural decoding and encoding within a single neuroprosthetic device.
Such a device acts as a "co-processor" for the brain, with applications ranging
from inducing He... | 0 | 0 | 0 | 0 | 1 | 0 |
Enhanced conservation properties of Vlasov codes through coupling with conservative fluid models | Many phenomena in collisionless plasma physics require a kinetic description.
The evolution of the phase space density can be modeled by means of the Vlasov
equation, which has to be solved numerically in most of the relevant cases. One
of the problems that often arise in such simulations is the violation of
importan... | 0 | 1 | 0 | 0 | 0 | 0 |
A note on $p^λ$-convex set in a complete Riemannian manifold | In this paper we have generalized the notion of $\lambda$-radial contraction
in complete Riemannian manifold and developed the concept of $p^\lambda$-convex
function. We have also given a counter example proving the fact that in general
$\lambda$-radial contraction of a geodesic is not necessarily a geodesic. We
have... | 0 | 0 | 1 | 0 | 0 | 0 |
Bounded cohomology and virtually free hyperbolically embedded subgroups | Using a probabilistic argument we show that the second bounded cohomology of
an acylindrically hyperbolic group $G$ (e.g., a non-elementary hyperbolic or
relatively hyperbolic group, non-exceptional mapping class group, ${\rm
Out}(F_n)$, \dots) embeds via the natural restriction maps into the inverse
limit of the sec... | 0 | 0 | 1 | 0 | 0 | 0 |
Transpiling Programmable Computable Functions to Answer Set Programs | Programming Computable Functions (PCF) is a simplified programming language
which provides the theoretical basis of modern functional programming
languages. Answer set programming (ASP) is a programming paradigm focused on
solving search problems. In this paper we provide a translation from PCF to
ASP. Using this tra... | 1 | 0 | 0 | 0 | 0 | 0 |
Scattering polarization of the $d$-states of ions and solar magnetic field: Effects of isotropic collisions | Analysis of solar magnetic fields using observations as well as theoretical
interpretations of the scattering polarization is commonly designated as a high
priority area of the solar research. The interpretation of the observed
polarization raises a serious theoretical challenge to the researchers involved
in this fi... | 0 | 1 | 0 | 0 | 0 | 0 |
Persistence Codebooks for Topological Data Analysis | Topological data analysis, such as persistent homology has shown beneficial
properties for machine learning in many tasks. Topological representations,
such as the persistence diagram (PD), however, have a complex structure
(multiset of intervals) which makes it difficult to combine with typical
machine learning work... | 0 | 0 | 0 | 1 | 0 | 0 |
Multivariate Analysis for Computing Maxima in High Dimensions | We study the problem of computing the \textsc{Maxima} of a set of $n$
$d$-dimensional points. For dimensions 2 and 3, there are algorithms to solve
the problem with order-oblivious instance-optimal running time. However, in
higher dimensions there is still room for improvements. We present an algorithm
sensitive to t... | 1 | 0 | 0 | 0 | 0 | 0 |
Generalized multi-Galileons, covariantized new terms, and the no-go theorem for non-singular cosmologies | It has been pointed out that non-singular cosmological solutions in
second-order scalar-tensor theories generically suffer from gradient
instabilities. We extend this no-go result to second-order gravitational
theories with an arbitrary number of interacting scalar fields. Our proof
follows directly from the action o... | 0 | 1 | 0 | 0 | 0 | 0 |
Tonic activation of extrasynaptic NMDA receptors decreases intrinsic excitability and promotes bistability in a model of neuronal activity | NMDA receptors (NMDA-R) typically contribute to excitatory synaptic
transmission in the central nervous system. While calcium influx through NMDA-R
plays a critical role in synaptic plasticity, indirect experimental evidence
also exists demonstrating actions of NMDAR-mediated calcium influx on neuronal
excitability t... | 0 | 0 | 0 | 0 | 1 | 0 |
Using Minimum Path Cover to Boost Dynamic Programming on DAGs: Co-Linear Chaining Extended | Aligning sequencing reads on graph representations of genomes is an important
ingredient of pan-genomics. Such approaches typically find a set of local
anchors that indicate plausible matches between substrings of a read to
subpaths of the graph. These anchor matches are then combined to form a
(semi-local) alignment... | 1 | 0 | 0 | 0 | 0 | 0 |
Visual Integration of Data and Model Space in Ensemble Learning | Ensembles of classifier models typically deliver superior performance and can
outperform single classifier models given a dataset and classification task at
hand. However, the gain in performance comes together with the lack in
comprehensibility, posing a challenge to understand how each model affects the
classificat... | 1 | 0 | 0 | 1 | 0 | 0 |
Steady States of Rotating Stars and Galaxies | A rotating continuum of particles attracted to each other by gravity may be
modeled by the Euler-Poisson system. The existence of solutions is a very
classical problem. Here it is proven that a curve of solutions exists,
parametrized by the rotation speed, with a fixed mass independent of the speed.
The rotation is a... | 0 | 0 | 1 | 0 | 0 | 0 |
Critical properties of the contact process with quenched dilution | We have studied the critical properties of the contact process on a square
lattice with quenched site dilution by Monte Carlo simulations. This was
achieved by generating in advance the percolating cluster, through the use of
an appropriate epidemic model, and then by the simulation of the contact
process on the top ... | 0 | 1 | 0 | 0 | 0 | 0 |
A Unified Strouhal-Reynolds Number Relationship for Laminar Vortex Streets Generated by Different Shaped Obstacles | A new Strouhal-Reynolds number relationship, $St=1/(A+B/Re)$, has been
recently proposed based on observations of laminar vortex shedding from
circular cylinders in a flowing soap film. Since the new $St$-$Re$ relation was
derived from a general physical consideration, it raises the possibility that
it may be applica... | 0 | 1 | 0 | 0 | 0 | 0 |
On Data-Dependent Random Features for Improved Generalization in Supervised Learning | The randomized-feature approach has been successfully employed in large-scale
kernel approximation and supervised learning. The distribution from which the
random features are drawn impacts the number of features required to
efficiently perform a learning task. Recently, it has been shown that employing
data-dependen... | 1 | 0 | 0 | 1 | 0 | 0 |
Anomalous electron spectrum and its relation to peak structure of electron scattering rate in cuprate superconductors | The recent discovery of a direct link between the sharp peak in the electron
quasiparticle scattering rate of cuprate superconductors and the well-known
peak-dip-hump structure in the electron quasiparticle excitation spectrum is
calling for an explanation. Within the framework of the kinetic-energy driven
supercondu... | 0 | 1 | 0 | 0 | 0 | 0 |
New goodness-of-fit diagnostics for conditional discrete response models | This paper proposes new specification tests for conditional models with
discrete responses, which are key to apply efficient maximum likelihood
methods, to obtain consistent estimates of partial effects and to get
appropriate predictions of the probability of future events. In particular, we
test the static and dynam... | 0 | 0 | 1 | 1 | 0 | 0 |
Tailoring Heterovalent Interface Formation with Light | Integrating different semiconductor materials into an epitaxial device
structure offers additional degrees of freedom to select for optimal material
properties in each layer. However, interface between materials with different
valences (i.e. III-V, II-VI and IV semiconductors) can be difficult to form
with high quali... | 0 | 1 | 0 | 0 | 0 | 0 |
Looking backward: From Euler to Riemann | We survey the main ideas in the early history of the subjects on which
Riemann worked and that led to some of his most important discoveries. The
subjects discussed include the theory of functions of a complex variable,
elliptic and Abelian integrals, the hypergeometric series, the zeta function,
topology, differenti... | 0 | 0 | 1 | 0 | 0 | 0 |
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper | In this paper we investigate an emerging application, 3D scene understanding,
likely to be significant in the mobile space in the near future. The goal of
this exploration is to reduce execution time while meeting our quality of
result objectives. In previous work we showed for the first time that it is
possible to m... | 1 | 0 | 0 | 0 | 0 | 0 |
A comparison theorem for MW-motivic cohomology | We prove that for a finitely generated field over an infinite perfect field
k, and for any integer n, the (n,n)-th MW-motivic cohomology group identifies
with the n-th Milnor-Witt K-theory group of that field
| 0 | 0 | 1 | 0 | 0 | 0 |
Wiener Filtering for Passive Linear Quantum Systems | This paper considers a version of the Wiener filtering problem for
equalization of passive quantum linear quantum systems. We demonstrate that
taking into consideration the quantum nature of the signals involved leads to
features typically not encountered in classical equalization problems. Most
significantly, findin... | 1 | 0 | 0 | 0 | 0 | 0 |
Robust Navigation In GNSS Degraded Environment Using Graph Optimization | Robust navigation in urban environments has received a considerable amount of
both academic and commercial interest over recent years. This is primarily due
to large commercial organizations such as Google and Uber stepping into the
autonomous navigation market. Most of this research has shied away from Global
Naviga... | 1 | 0 | 0 | 0 | 0 | 0 |
On reproduction of On the regularization of Wasserstein GANs | This report has several purposes. First, our report is written to investigate
the reproducibility of the submitted paper On the regularization of Wasserstein
GANs (2018). Second, among the experiments performed in the submitted paper,
five aspects were emphasized and reproduced: learning speed, stability,
robustness ... | 1 | 0 | 0 | 1 | 0 | 0 |
Density Estimation with Contaminated Data: Minimax Rates and Theory of Adaptation | This paper studies density estimation under pointwise loss in the setting of
contamination model. The goal is to estimate $f(x_0)$ at some
$x_0\in\mathbb{R}$ with i.i.d. observations, $$ X_1,\dots,X_n\sim
(1-\epsilon)f+\epsilon g, $$ where $g$ stands for a contamination distribution.
In the context of multiple testin... | 0 | 0 | 1 | 1 | 0 | 0 |
A uniform bound on the Brauer groups of certain log K3 surfaces | Let U be the complement of a smooth anticanonical divisor in a del Pezzo
surface of degree at most 7 over a number field k. We show that there is an
effective uniform bound for the size of the Brauer group of U in terms of the
degree of k.
| 0 | 0 | 1 | 0 | 0 | 0 |
Composable Deep Reinforcement Learning for Robotic Manipulation | Model-free deep reinforcement learning has been shown to exhibit good
performance in domains ranging from video games to simulated robotic
manipulation and locomotion. However, model-free methods are known to perform
poorly when the interaction time with the environment is limited, as is the
case for most real-world ... | 1 | 0 | 0 | 1 | 0 | 0 |
Stimulated Raman Scattering Imposes Fundamental Limits to the Duration and Bandwidth of Temporal Cavity Solitons | Temporal cavity solitons (CS) are optical pulses that can persist in passive
resonators, and they play a key role in the generation of coherent
microresonator frequency combs. In resonators made of amorphous materials, such
as fused silica, they can exhibit a spectral red-shift due to stimulated Raman
scattering. Her... | 0 | 1 | 0 | 0 | 0 | 0 |
Investigation of Using VAE for i-Vector Speaker Verification | New system for i-vector speaker recognition based on variational autoencoder
(VAE) is investigated. VAE is a promising approach for developing accurate deep
nonlinear generative models of complex data. Experiments show that VAE provides
speaker embedding and can be effectively trained in an unsupervised manner. LLR
e... | 1 | 0 | 0 | 1 | 0 | 0 |
A Unifying Framework for Convergence Analysis of Approximate Newton Methods | Many machine learning models are reformulated as optimization problems. Thus,
it is important to solve a large-scale optimization problem in big data
applications. Recently, subsampled Newton methods have emerged to attract much
attention for optimization due to their efficiency at each iteration, rectified
a weaknes... | 1 | 0 | 0 | 0 | 0 | 0 |
A Newman property for BLD-mappings | We define a Newman property for BLD-mappings and study its connections to the
porosity of the branch set in the setting of generalized manifolds equipped
with complete path metrics.
| 0 | 0 | 1 | 0 | 0 | 0 |
Learning to Use Learners' Advice | In this paper, we study a variant of the framework of online learning using
expert advice with limited/bandit feedback. We consider each expert as a
learning entity, seeking to more accurately reflecting certain real-world
applications. In our setting, the feedback at any time $t$ is limited in a
sense that it is onl... | 1 | 0 | 0 | 0 | 0 | 0 |
Fast and Accurate Time Series Classification with WEASEL | Time series (TS) occur in many scientific and commercial applications,
ranging from earth surveillance to industry automation to the smart grids. An
important type of TS analysis is classification, which can, for instance,
improve energy load forecasting in smart grids by detecting the types of
electronic devices bas... | 1 | 0 | 0 | 1 | 0 | 0 |
Deep Neural Network Architectures for Modulation Classification | In this work, we investigate the value of employing deep learning for the
task of wireless signal modulation recognition. Recently in [1], a framework
has been introduced by generating a dataset using GNU radio that mimics the
imperfections in a real wireless channel, and uses 10 different modulation
types. Further, ... | 1 | 0 | 0 | 1 | 0 | 0 |
Stack Overflow Considered Harmful? The Impact of Copy&Paste on Android Application Security | Online programming discussion platforms such as Stack Overflow serve as a
rich source of information for software developers. Available information
include vibrant discussions and oftentimes ready-to-use code snippets.
Anecdotes report that software developers copy and paste code snippets from
those information sourc... | 1 | 0 | 0 | 0 | 0 | 0 |
United Nations Digital Blue Helmets as a Starting Point for Cyber Peacekeeping | Prior works, such as the Tallinn manual on the international law applicable
to cyber warfare, focus on the circumstances of cyber warfare. Many
organizations are considering how to conduct cyber warfare, but few have
discussed methods to reduce, or even prevent, cyber conflict. A recent series
of publications started... | 1 | 0 | 0 | 0 | 0 | 0 |
Motives of derived equivalent K3 surfaces | We observe that derived equivalent K3 surfaces have isomorphic Chow motives.
| 0 | 0 | 1 | 0 | 0 | 0 |
Robust Dual View Deep Agent | Motivated by recent advance of machine learning using Deep Reinforcement
Learning this paper proposes a modified architecture that produces more robust
agents and speeds up the training process. Our architecture is based on
Asynchronous Advantage Actor-Critic (A3C) algorithm where the total input
dimensionality is ha... | 0 | 0 | 0 | 1 | 0 | 0 |
Microplasma generation by slow microwave in an electromagnetically induced transparency-like metasurface | Microplasma generation using microwaves in an electromagnetically induced
transparency (EIT)-like metasurface composed of two types of radiatively
coupled cut-wire resonators with slightly different resonance frequencies is
investigated. Microplasma is generated in either of the gaps of the cut-wire
resonators as a r... | 0 | 1 | 0 | 0 | 0 | 0 |
K-theory of group Banach algebras and Banach property RD | We investigate Banach algebras of convolution operators on the $L^p$ spaces
of a locally compact group, and their K-theory. We show that for a discrete
group, the corresponding K-theory groups depend continuously on $p$ in an
inductive sense. Via a Banach version of property RD, we show that for a large
class of grou... | 0 | 0 | 1 | 0 | 0 | 0 |
A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule | Spiking neural networks (SNNs) possess energy-efficient potential due to
event-based computation. However, supervised training of SNNs remains a
challenge as spike activities are non-differentiable. Previous SNNs training
methods can basically be categorized into two classes, backpropagation-like
training methods and... | 0 | 0 | 0 | 0 | 1 | 0 |
Learning from various labeling strategies for suicide-related messages on social media: An experimental study | Suicide is an important but often misunderstood problem, one that researchers
are now seeking to better understand through social media. Due in large part to
the fuzzy nature of what constitutes suicidal risks, most supervised approaches
for learning to automatically detect suicide-related activity in social media
re... | 1 | 0 | 0 | 0 | 0 | 0 |
Modeling Information Flow Through Deep Neural Networks | This paper proposes a principled information theoretic analysis of
classification for deep neural network structures, e.g. convolutional neural
networks (CNN). The output of convolutional filters is modeled as a random
variable Y conditioned on the object class C and network filter bank F. The
conditional entropy (CE... | 1 | 0 | 0 | 1 | 0 | 0 |
Scalable Twin Neural Networks for Classification of Unbalanced Data | Twin Support Vector Machines (TWSVMs) have emerged an efficient alternative
to Support Vector Machines (SVM) for learning from imbalanced datasets. The
TWSVM learns two non-parallel classifying hyperplanes by solving a couple of
smaller sized problems. However, it is unsuitable for large datasets, as it
involves matr... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition | Recurrent Neural Networks (RNNs) are powerful sequence modeling tools.
However, when dealing with high dimensional inputs, the training of RNNs
becomes computational expensive due to the large number of model parameters.
This hinders RNNs from solving many important computer vision tasks, such as
Action Recognition i... | 1 | 0 | 0 | 1 | 0 | 0 |
Deep Learning applied to Road Traffic Speed forecasting | In this paper, we propose deep learning architectures (FNN, CNN and LSTM) to
forecast a regression model for time dependent data. These algorithm's are
designed to handle Floating Car Data (FCD) historic speeds to predict road
traffic data. For this we aggregate the speeds into the network inputs in an
innovative way... | 1 | 0 | 0 | 1 | 0 | 0 |
Wait For It: Identifying "On-Hold" Self-Admitted Technical Debt | Self-admitted technical debt refers to situations where a software developer
knows that their current implementation is not optimal and indicates this using
a source code comment. In this work, we hypothesize that it is possible to
develop automated techniques to understand a subset of these comments in more
detail, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Real time observation of granular rock analogue material deformation and failure using nonlinear laser interferometry | A better understanding and anticipation of natural processes such as
landsliding or seismic fault activity requires detailed theoretical and
experimental analysis of rock mechanics and geomaterial dynamics. These last
decades, considerable progress has been made towards understanding deformation
and fracture process ... | 0 | 1 | 0 | 0 | 0 | 0 |
Virtual link and knot invariants from non-abelian Yang-Baxter 2-cocycle pairs | For a given $(X,S,\beta)$, where $S,\beta\colon X\times X\to X\times X$ are
set theoretical solutions of Yang-Baxter equation with a compatibility
condition, we define an invariant for virtual (or classical) knots/links using
non commutative 2-cocycles pairs $(f,g)$ that generalizes the one defined in
[FG2]. We also ... | 0 | 0 | 1 | 0 | 0 | 0 |
An extensible cluster-graph taxonomy for open set sound scene analysis | We present a new extensible and divisible taxonomy for open set sound scene
analysis. This new model allows complex scene analysis with tangible
descriptors and perception labels. Its novel structure is a cluster graph such
that each cluster (or subset) can stand alone for targeted analyses such as
office sound event... | 1 | 0 | 0 | 0 | 0 | 0 |
CREATE: Multimodal Dataset for Unsupervised Learning, Generative Modeling and Prediction of Sensory Data from a Mobile Robot in Indoor Environments | The CREATE database is composed of 14 hours of multimodal recordings from a
mobile robotic platform based on the iRobot Create. The various sensors cover
vision, audition, motors and proprioception. The dataset has been designed in
the context of a mobile robot that can learn multimodal representations of its
environ... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep learning enhanced mobile-phone microscopy | Mobile-phones have facilitated the creation of field-portable, cost-effective
imaging and sensing technologies that approach laboratory-grade instrument
performance. However, the optical imaging interfaces of mobile-phones are not
designed for microscopy and produce spatial and spectral distortions in imaging
microsc... | 1 | 1 | 0 | 0 | 0 | 0 |
On convergence of the sample correlation matrices in high-dimensional data | In this paper, we consider an estimation problem concerning the matrix of
correlation coefficients in context of high dimensional data settings. In
particular, we revisit some results in Li and Rolsalsky [Li, D. and Rolsalsky,
A. (2006). Some strong limit theorems for the largest entries of sample
correlation matrice... | 0 | 0 | 1 | 1 | 0 | 0 |
Minimal Controllability of Conjunctive Boolean Networks is NP-Complete | Given a conjunctive Boolean network (CBN) with $n$ state-variables, we
consider the problem of finding a minimal set of state-variables to directly
affect with an input so that the resulting conjunctive Boolean control network
(CBCN) is controllable. We give a necessary and sufficient condition for
controllability of... | 1 | 0 | 1 | 0 | 0 | 0 |
Consensus report on 25 years of searches for damped Ly$α$ galaxies in emission: Confirming their metallicity-luminosity relation at $z \gtrsim 2$ | Starting from a summary of detection statistics of our recent X-shooter
campaign, we review the major surveys, both space and ground based, for
emission counterparts of high-redshift damped Ly$\alpha$ absorbers (DLAs)
carried out since the first detection 25 years ago. We show that the detection
rates of all surveys ... | 0 | 1 | 0 | 0 | 0 | 0 |
D-optimal designs for complex Ornstein-Uhlenbeck processes | Complex Ornstein-Uhlenbeck (OU) processes have various applications in
statistical modelling. They play role e.g. in the description of the motion of
a charged test particle in a constant magnetic field or in the study of
rotating waves in time-dependent reaction diffusion systems, whereas Kolmogorov
used such a proc... | 0 | 0 | 1 | 1 | 0 | 0 |
On Stein's Identity and Near-Optimal Estimation in High-dimensional Index Models | We consider estimating the parametric components of semi-parametric multiple
index models in a high-dimensional and non-Gaussian setting. Such models form a
rich class of non-linear models with applications to signal processing, machine
learning and statistics. Our estimators leverage the score function based first
a... | 0 | 0 | 1 | 1 | 0 | 0 |
Self-adjointness and spectral properties of Dirac operators with magnetic links | We define Dirac operators on $\mathbb{S}^3$ (and $\mathbb{R}^3$) with
magnetic fields supported on smooth, oriented links and prove self-adjointness
of certain (natural) extensions. We then analyze their spectral properties and
show, among other things, that these operators have discrete spectrum. Certain
examples, s... | 0 | 0 | 1 | 0 | 0 | 0 |
Latent tree models | Latent tree models are graphical models defined on trees, in which only a
subset of variables is observed. They were first discussed by Judea Pearl as
tree-decomposable distributions to generalise star-decomposable distributions
such as the latent class model. Latent tree models, or their submodels, are
widely used i... | 0 | 0 | 1 | 1 | 0 | 0 |
Program Synthesis from Visual Specification | Program synthesis is the process of automatically translating a specification
into computer code. Traditional synthesis settings require a formal, precise
specification. Motivated by computer education applications where a student
learns to code simple turtle-style drawing programs, we study a novel synthesis
setting... | 1 | 0 | 0 | 0 | 0 | 0 |
Towards a Knowledge Graph based Speech Interface | Applications which use human speech as an input require a speech interface
with high recognition accuracy. The words or phrases in the recognised text are
annotated with a machine-understandable meaning and linked to knowledge graphs
for further processing by the target application. These semantic annotations of
reco... | 1 | 0 | 0 | 0 | 0 | 0 |
An asymptotic equipartition property for measures on model spaces | Let $G$ be a sofic group, and let $\Sigma = (\sigma_n)_{n\geq 1}$ be a sofic
approximation to it. For a probability-preserving $G$-system, a variant of the
sofic entropy relative to $\Sigma$ has recently been defined in terms of
sequences of measures on its model spaces that `converge' to the system in a
certain sens... | 1 | 0 | 1 | 0 | 0 | 0 |
Dynamic Objects Segmentation for Visual Localization in Urban Environments | Visual localization and mapping is a crucial capability to address many
challenges in mobile robotics. It constitutes a robust, accurate and
cost-effective approach for local and global pose estimation within prior maps.
Yet, in highly dynamic environments, like crowded city streets, problems arise
as major parts of ... | 1 | 0 | 0 | 0 | 0 | 0 |
Gradient Masking Causes CLEVER to Overestimate Adversarial Perturbation Size | A key problem in research on adversarial examples is that vulnerability to
adversarial examples is usually measured by running attack algorithms. Because
the attack algorithms are not optimal, the attack algorithms are prone to
overestimating the size of perturbation needed to fool the target model. In
other words, t... | 0 | 0 | 0 | 1 | 0 | 0 |
Gaussian process regression for forest attribute estimation from airborne laser scanning data | While the analysis of airborne laser scanning (ALS) data often provides
reliable estimates for certain forest stand attributes -- such as total volume
or basal area -- there is still room for improvement, especially in estimating
species-specific attributes. Moreover, while information on the estimate
uncertainty wou... | 0 | 0 | 0 | 1 | 0 | 0 |
Quantum capacitance of double-layer graphene | We study the ground-state properties of a double layer graphene system with
the Coulomb interlayer electron-electron interaction modeled within the random
phase approximation. We first obtain an expression of the quantum capacitance
of a two layer system. In addition, we calculate the many-body
exchange-correlation e... | 0 | 1 | 0 | 0 | 0 | 0 |
DeepTriangle: A Deep Learning Approach to Loss Reserving | We propose a novel approach for loss reserving based on deep neural networks.
The approach allows for jointly modeling of paid losses and claims outstanding,
and incorporation of heterogenous inputs. We validate the models on loss
reserving data across lines of business, and show that they attain or exceed
the predic... | 0 | 0 | 0 | 1 | 0 | 1 |
Distributed Time Synchronization for Networks with Random Delays and Measurement Noise | In this paper a new distributed asynchronous algorithm is proposed for time
synchronization in networks with random communication delays, measurement noise
and communication dropouts. Three different types of the drift correction
algorithm are introduced, based on different kinds of local time increments.
Under nonre... | 1 | 0 | 0 | 0 | 0 | 0 |
Using High-Rising Cities to Visualize Performance in Real-Time | For developers concerned with a performance drop or improvement in their
software, a profiler allows a developer to quickly search and identify
bottlenecks and leaks that consume much execution time. Non real-time profilers
analyze the history of already executed stack traces, while a real-time
profiler outputs the r... | 1 | 0 | 0 | 0 | 0 | 0 |
Controller Synthesis for Discrete-time Hybrid Polynomial Systems via Occupation Measures | We present a novel controller synthesis approach for discrete-time hybrid
polynomial systems, a class of systems that can model a wide variety of
interactions between robots and their environment. The approach is rooted in
recently developed techniques that use occupation measures to formulate the
controller synthesi... | 1 | 0 | 0 | 0 | 0 | 0 |
Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning | Recently, research on accelerated stochastic gradient descent methods (e.g.,
SVRG) has made exciting progress (e.g., linear convergence for strongly convex
problems). However, the best-known methods (e.g., Katyusha) requires at least
two auxiliary variables and two momentum parameters. In this paper, we propose
a fas... | 1 | 0 | 1 | 1 | 0 | 0 |
A vertex-weighted-Least-Squares gradient reconstruction | Gradient reconstruction is a key process for the spatial accuracy and
robustness of finite volume method, especially in industrial aerodynamic
applications in which grid quality affects reconstruction methods
significantly. A novel gradient reconstruction method for cell-centered finite
volume scheme is introduced. T... | 0 | 1 | 0 | 0 | 0 | 0 |
The reverse mathematics of theorems of Jordan and Lebesgue | The Jordan decomposition theorem states that every function $f \colon [0,1]
\to \mathbb{R}$ of bounded variation can be written as the difference of two
non-decreasing functions. Combining this fact with a result of Lebesgue, every
function of bounded variation is differentiable almost everywhere in the sense
of Lebe... | 0 | 0 | 1 | 0 | 0 | 0 |
Semiflat Orbifold Projections | We compute the semiflat positive cone $K_0^{+SF}(A_\theta^\sigma)$ of the
$K_0$-group of the irrational rotation orbifold $A_\theta^\sigma$ under the
noncommutative Fourier transform $\sigma$ and show that it is determined by
classes of positive trace and the vanishing of two topological invariants. The
semiflat orbi... | 0 | 0 | 1 | 0 | 0 | 0 |
Magnetization process of the S = 1/2 two-leg organic spin-ladder compound BIP-BNO | We have measured the magnetization of the organic compound BIP-BNO
(3,5'-bis(N-tert-butylaminoxyl)-3',5-dibromobiphenyl) up to 76 T where the
magnetization is saturated. The S = 1/2 antiferromagnetic Heisenberg two-leg
spin-ladder model accounts for the obtained experimental data regarding the
magnetization curve, wh... | 0 | 1 | 0 | 0 | 0 | 0 |
Deep Over-sampling Framework for Classifying Imbalanced Data | Class imbalance is a challenging issue in practical classification problems
for deep learning models as well as traditional models. Traditionally
successful countermeasures such as synthetic over-sampling have had limited
success with complex, structured data handled by deep learning models. In this
paper, we propose... | 1 | 0 | 0 | 1 | 0 | 0 |
Failsafe Mechanism Design of Multicopters Based on Supervisory Control Theory | In order to handle undesirable failures of a multicopter which occur in
either the pre-flight process or the in-flight process, a failsafe mechanism
design method based on supervisory control theory is proposed for the
semi-autonomous control mode. Failsafe mechanism is a control logic that guides
what subsequent act... | 1 | 0 | 0 | 0 | 0 | 0 |
Inverse Design of Single- and Multi-Rotor Horizontal Axis Wind Turbine Blades using Computational Fluid Dynamics | A method for inverse design of horizontal axis wind turbines (HAWTs) is
presented in this paper. The direct solver for aerodynamic analysis solves the
Reynolds Averaged Navier Stokes (RANS) equations, where the effect of the
turbine rotor is modeled as momentum sources using the actuator disk model
(ADM); this approa... | 0 | 1 | 0 | 0 | 0 | 0 |
The Double Galaxy Cluster Abell 2465 III. X-ray and Weak-lensing Observations | We report Chandra X-ray observations and optical weak-lensing measurements
from Subaru/Suprime-Cam images of the double galaxy cluster Abell 2465
(z=0.245). The X-ray brightness data are fit to a beta-model to obtain the
radial gas density profiles of the northeast (NE) and southwest (SW)
sub-components, which are se... | 0 | 1 | 0 | 0 | 0 | 0 |
Superdensity Operators for Spacetime Quantum Mechanics | We introduce superdensity operators as a tool for analyzing quantum
information in spacetime. Superdensity operators encode spacetime correlation
functions in an operator framework, and support a natural generalization of
Hilbert space techniques and Dirac's transformation theory as traditionally
applied to standard ... | 0 | 1 | 0 | 0 | 0 | 0 |
Monte Carlo study of magnetic nanoparticles adsorbed on halloysite $Al_2Si_2O_5(OH)_4$ nanotubes | We study properties of magnetic nanoparticles adsorbed on the halloysite
surface. For that a distinct magnetic Hamiltonian with random distribution of
spins on a cylindrical surface was solved by using a nonequilibrium Monte Carlo
method. The parameters for our simulations: anisotropy constant, nanoparticle
size dist... | 0 | 1 | 0 | 0 | 0 | 0 |
Inference in high-dimensional linear regression models | We introduce an asymptotically unbiased estimator for the full
high-dimensional parameter vector in linear regression models where the number
of variables exceeds the number of available observations. The estimator is
accompanied by a closed-form expression for the covariance matrix of the
estimates that is free of t... | 0 | 0 | 1 | 1 | 0 | 0 |
Counterfactual Learning for Machine Translation: Degeneracies and Solutions | Counterfactual learning is a natural scenario to improve web-based machine
translation services by offline learning from feedback logged during user
interactions. In order to avoid the risk of showing inferior translations to
users, in such scenarios mostly exploration-free deterministic logging policies
are in place... | 1 | 0 | 0 | 1 | 0 | 0 |
Conversion of Mersenne Twister to double-precision floating-point numbers | The 32-bit Mersenne Twister generator MT19937 is a widely used random number
generator. To generate numbers with more than 32 bits in bit length, and
particularly when converting into 53-bit double-precision floating-point
numbers in $[0,1)$ in the IEEE 754 format, the typical implementation
concatenates two successi... | 1 | 0 | 0 | 1 | 0 | 0 |
BaHaMAS: A Bash Handler to Monitor and Administrate Simulations | Numerical QCD is often extremely resource demanding and it is not rare to run
hundreds of simulations at the same time. Each of these can last for days or
even months and it typically requires a job-script file as well as an input
file with the physical parameters for the application to be run. Moreover, some
monitor... | 0 | 1 | 0 | 0 | 0 | 0 |
Computational Study of Halide Perovskite-Derived A$_2$BX$_6$ Inorganic Compounds: Chemical Trends in Electronic Structure and Structural Stability | The electronic structure and energetic stability of A$_2$BX$_6$ halide
compounds with the cubic and tetragonal variants of the perovskite-derived
K$_2$PtCl$_6$ prototype structure are investigated computationally within the
frameworks of density-functional-theory (DFT) and hybrid (HSE06) functionals.
The HSE06 calcul... | 0 | 1 | 0 | 0 | 0 | 0 |
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