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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Propagation of self-localised Q-ball solitons in the $^3$He universe | In relativistic quantum field theories, compact objects of interacting bosons
can become stable owing to conservation of an additive quantum number $Q$.
Discovering such $Q$-balls propagating in the Universe would confirm
supersymmetric extensions of the standard model and may shed light on the
mysteries of dark matt... | 0 | 1 | 0 | 0 | 0 | 0 |
Improving the staggered grid Lagrangian hydrodynamics for modeling multi-material flows | In this work, we make two improvements on the staggered grid hydrodynamics
(SGH) Lagrangian scheme for modeling 2-dimensional compressible multi-material
flows on triangular mesh. The first improvement is the construction of a
dynamic local remeshing scheme for preventing mesh distortion. The remeshing
scheme is simi... | 0 | 1 | 0 | 0 | 0 | 0 |
Reinforcement Learning-based Thermal Comfort Control for Vehicle Cabins | Vehicle climate control systems aim to keep passengers thermally comfortable.
However, current systems control temperature rather than thermal comfort and
tend to be energy hungry, which is of particular concern when considering
electric vehicles. This paper poses energy-efficient vehicle comfort control as
a Markov ... | 1 | 0 | 0 | 0 | 0 | 0 |
A functional model for the Fourier--Plancherel operator truncated on the positive half-axis | The truncated Fourier operator $\mathscr{F}_{\mathbb{R^{+}}}$, $$
(\mathscr{F}_{\mathbb{R^{+}}}x)(t)=\frac{1}{\sqrt{2\pi}}
\int\limits_{\mathbb{R^{+}}}x(\xi)e^{it\xi}\,d\xi\,,\ \ \
t\in{}{\mathbb{R^{+}}}, $$ is studied. The operator
$\mathscr{F}_{\mathbb{R^{+}}}$ is considered as an operator acting in the space
$L^2(... | 0 | 0 | 1 | 0 | 0 | 0 |
Mapping $n$ grid points onto a square forces an arbitrarily large Lipschitz constant | We prove that the regular $n\times n$ square grid of points in the integer
lattice $\mathbb{Z}^{2}$ cannot be recovered from an arbitrary $n^{2}$-element
subset of $\mathbb{Z}^{2}$ via a mapping with prescribed Lipschitz constant
(independent of $n$). This answers negatively a question of Feige from 2002.
Our resolut... | 1 | 0 | 1 | 0 | 0 | 0 |
An FPT algorithm for planar multicuts with sources and sinks on the outer face | Given a list of k source-sink pairs in an edge-weighted graph G, the minimum
multicut problem consists in selecting a set of edges of minimum total weight
in G, such that removing these edges leaves no path from each source to its
corresponding sink. To the best of our knowledge, no non-trivial FPT result for
special... | 1 | 0 | 0 | 0 | 0 | 0 |
Calibration with Bias-Corrected Temperature Scaling Improves Domain Adaptation Under Label Shift in Modern Neural Networks | Label shift refers to the phenomenon where the marginal probability p(y) of
observing a particular class changes between the training and test
distributions while the conditional probability p(x|y) stays fixed. This is
relevant in settings such as medical diagnosis, where a classifier trained to
predict disease based... | 1 | 0 | 0 | 1 | 0 | 0 |
Propagation Networks for Model-Based Control Under Partial Observation | There has been an increasing interest in learning dynamics simulators for
model-based control. Compared with off-the-shelf physics engines, a learnable
simulator can quickly adapt to unseen objects, scenes, and tasks. However,
existing models like interaction networks only work for fully observable
systems; they also... | 1 | 0 | 0 | 0 | 0 | 0 |
High-redshift galaxies and black holes in the eyes of JWST: a population synthesis model from infrared to X-rays | The first billion years of the Universe is a pivotal time: stars, black holes
(BHs) and galaxies form and assemble, sowing the seeds of galaxies as we know
them today. Detecting, identifying and understand- ing the first galaxies and
BHs is one of the current observational and theoretical challenges in galaxy
formati... | 0 | 1 | 0 | 0 | 0 | 0 |
Soft Label Memorization-Generalization for Natural Language Inference | Often when multiple labels are obtained for a training example it is assumed
that there is an element of noise that must be accounted for. It has been shown
that this disagreement can be considered signal instead of noise. In this work
we investigate using soft labels for training data to improve generalization in
ma... | 1 | 0 | 0 | 0 | 0 | 0 |
Floquet Topological Magnons | We introduce the concept of Floquet topological magnons --- a mechanism by
which a synthetic tunable Dzyaloshinskii-Moriya interaction (DMI) can be
generated in quantum magnets using circularly polarized electric (laser) field.
The resulting effect is that Dirac magnons and nodal magnons in two-dimensional
(2D) and t... | 0 | 1 | 0 | 0 | 0 | 0 |
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds | Inspired by recent interests of developing machine learning and data mining
algorithms on hypergraphs, we investigate in this paper the semi-supervised
learning algorithm of propagating "soft labels" (e.g. probability
distributions, class membership scores) over hypergraphs, by means of optimal
transportation. Borrow... | 0 | 0 | 0 | 1 | 0 | 0 |
Psychological and Personality Profiles of Political Extremists | Global recruitment into radical Islamic movements has spurred renewed
interest in the appeal of political extremism. Is the appeal a rational
response to material conditions or is it the expression of psychological and
personality disorders associated with aggressive behavior, intolerance,
conspiratorial imagination,... | 1 | 1 | 0 | 0 | 0 | 0 |
Techniques for Interpretable Machine Learning | Interpretable machine learning tackles the important problem that humans
cannot understand the behaviors of complex machine learning models and how
these models arrive at a particular decision. Although many approaches have
been proposed, a comprehensive understanding of the achievements and challenges
is still lacki... | 0 | 0 | 0 | 1 | 0 | 0 |
New Models and Methods for Formation and Analysis of Social Networks | This doctoral work focuses on three main problems related to social networks:
(1) Orchestrating Network Formation: We consider the problem of orchestrating
formation of a social network having a certain given topology that may be
desirable for the intended usecases. Assuming the social network nodes to be
strategic i... | 1 | 1 | 0 | 0 | 0 | 0 |
Identifying networks with common organizational principles | Many complex systems can be represented as networks, and the problem of
network comparison is becoming increasingly relevant. There are many techniques
for network comparison, from simply comparing network summary statistics to
sophisticated but computationally costly alignment-based approaches. Yet it
remains challe... | 1 | 1 | 0 | 1 | 0 | 0 |
Image-based Proof of Work Algorithm for the Incentivization of Blockchain Archival of Interesting Images | A new variation of blockchain proof of work algorithm is proposed to
incentivize the timely execution of image processing algorithms. A sample image
processing algorithm is proposed to determine interesting images using analysis
of the entropy of pixel subsets within images. The efficacy of the image
processing algor... | 1 | 0 | 0 | 0 | 0 | 0 |
Multi-Lane Perception Using Feature Fusion Based on GraphSLAM | An extensive, precise and robust recognition and modeling of the environment
is a key factor for next generations of Advanced Driver Assistance Systems and
development of autonomous vehicles. In this paper, a real-time approach for the
perception of multiple lanes on highways is proposed. Lane markings detected by
ca... | 1 | 0 | 0 | 0 | 0 | 0 |
Stability analysis and stabilization of LPV systems with jumps and (piecewise) differentiable parameters using continuous and sampled-data controllers | Linear Parameter-Varying (LPV) systems with jumps and piecewise
differentiable parameters is a class of hybrid LPV systems for which no
tailored stability analysis and stabilization conditions have been obtained so
far. We fill this gap here by proposing an approach relying on the
reformulation of the considered LPV ... | 1 | 0 | 1 | 0 | 0 | 0 |
Identity Testing and Interpolation from High Powers of Polynomials of Large Degree over Finite Fields | We consider the problem of identity testing and recovering (that is,
interpolating) of a "hidden" monic polynomials $f$, given an oracle access to
$f(x)^e$ for $x\in\mathbb F_q$, where $\mathbb F_q$ is the finite field of $q$
elements and an extension fields access is not permitted.
The naive interpolation algorithm ... | 1 | 0 | 1 | 0 | 0 | 0 |
A bird's eye view on the flat and conic band world of the honeycomb and Kagome lattices: Towards an understanding of 2D Metal-Organic Frameworks electronic structure | We present a thorough tight-binding analysis of the band structure of a wide
variety of lattices belonging to the class of honeycomb and Kagome systems
including several mixed forms combining both lattices. The band structure of
these systems are made of a combination of dispersive and flat bands. The
dispersive band... | 0 | 1 | 0 | 0 | 0 | 0 |
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis | An increasing number of sensors on mobile, Internet of things (IoT), and
wearable devices generate time-series measurements of physical activities.
Though access to the sensory data is critical to the success of many beneficial
applications such as health monitoring or activity recognition, a wide range of
potentiall... | 1 | 0 | 0 | 1 | 0 | 0 |
Application of the Mixed Time-averaging Semiclassical Initial Value Representation method to Complex Molecular Spectra | The recently introduced mixed time-averaging semiclassical initial value
representation molecular dynamics method for spectroscopic calculations [M.
Buchholz, F. Grossmann, and M. Ceotto, J. Chem. Phys. 144, 094102 (2016)] is
applied to systems with up to 61 dimensions, ruled by a condensed phase
Caldeira-Leggett mod... | 0 | 1 | 0 | 0 | 0 | 0 |
Bounds on layer potentials with rough inputs for higher order elliptic equations | In this paper we establish square-function estimates on the double and single
layer potentials with rough inputs for divergence form elliptic operators, of
arbitrary even order 2m, with variable t-independent coefficients in the upper
half-space.
| 0 | 0 | 1 | 0 | 0 | 0 |
From support $τ$-tilting posets to algebras | The aim of this paper is to study a poset isomorphism between two support
$\tau$-tilting posets. We take several algebraic information from combinatorial
properties of support $\tau$-tilting posets. As an application, we treat a
certain class of basic algebras which contains preprojective algebras of type
$A$, Nakaya... | 0 | 0 | 1 | 0 | 0 | 0 |
Measuring the reionization 21 cm fluctuations using clustering wedges | One of the main challenges in probing the reionization epoch using the
redshifted 21 cm line is that the magnitude of the signal is several orders
smaller than the astrophysical foregrounds. One of the methods to deal with the
problem is to avoid a wedge-shaped region in the Fourier $k_{\perp} -
k_{\parallel}$ space ... | 0 | 1 | 0 | 0 | 0 | 0 |
Sensing-Constrained LQG Control | Linear-Quadratic-Gaussian (LQG) control is concerned with the design of an
optimal controller and estimator for linear Gaussian systems with imperfect
state information. Standard LQG assumes the set of sensor measurements, to be
fed to the estimator, to be given. However, in many problems, arising in
networked system... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Residual Learning for Instrument Segmentation in Robotic Surgery | Detection, tracking, and pose estimation of surgical instruments are crucial
tasks for computer assistance during minimally invasive robotic surgery. In the
majority of cases, the first step is the automatic segmentation of surgical
tools. Prior work has focused on binary segmentation, where the objective is to
label... | 1 | 0 | 0 | 0 | 0 | 0 |
Computing Constrained Approximate Equilibria in Polymatrix Games | This paper is about computing constrained approximate Nash equilibria in
polymatrix games, which are succinctly represented many-player games defined by
an interaction graph between the players. In a recent breakthrough, Rubinstein
showed that there exists a small constant $\epsilon$, such that it is
PPAD-complete to... | 1 | 0 | 0 | 0 | 0 | 0 |
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks | A promising paradigm for achieving highly efficient deep neural networks is
the idea of evolutionary deep intelligence, which mimics biological evolution
processes to progressively synthesize more efficient networks. A crucial design
factor in evolutionary deep intelligence is the genetic encoding scheme used to
simu... | 1 | 0 | 0 | 1 | 0 | 0 |
Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods | The problem of Non-Gaussian Component Analysis (NGCA) is about finding a
maximal low-dimensional subspace $E$ in $\mathbb{R}^n$ so that data points
projected onto $E$ follow a non-gaussian distribution. Although this is an
appropriate model for some real world data analysis problems, there has been
little progress on... | 1 | 0 | 0 | 1 | 0 | 0 |
ARABIS: an Asynchronous Acoustic Indoor Positioning System for Mobile Devices | Acoustic ranging based indoor positioning solutions have the advantage of
higher ranging accuracy and better compatibility with commercial-off-the-self
consumer devices. However, similar to other time-domain based approaches using
Time-of-Arrival and Time-Difference-of-Arrival, they suffer from performance
degradatio... | 1 | 0 | 0 | 0 | 0 | 0 |
Realistic Evaluation of Deep Semi-Supervised Learning Algorithms | Semi-supervised learning (SSL) provides a powerful framework for leveraging
unlabeled data when labels are limited or expensive to obtain. SSL algorithms
based on deep neural networks have recently proven successful on standard
benchmark tasks. However, we argue that these benchmarks fail to address many
issues that ... | 0 | 0 | 0 | 1 | 0 | 0 |
Recovering piecewise constant refractive indices by a single far-field pattern | We are concerned with the inverse scattering problem of recovering an
inhomogeneous medium by the associated acoustic wave measurement. We prove that
under certain assumptions, a single far-field pattern determines the values of
a perturbation to the refractive index on the corners of its support. These
assumptions a... | 0 | 0 | 1 | 0 | 0 | 0 |
On Bezout Inequalities for non-homogeneous Polynomial Ideals | We introduce a "workable" notion of degree for non-homogeneous polynomial
ideals and formulate and prove ideal theoretic Bézout Inequalities for the
sum of two ideals in terms of this notion of degree and the degree of
generators. We compute probabilistically the degree of an equidimensional
ideal.
| 1 | 0 | 1 | 0 | 0 | 0 |
Joint Mixability of Elliptical Distributions and Related Families | In this paper, we further develop the theory of complete mixability and joint
mixability for some distribution families. We generalize a result of
Rüschendorf and Uckelmann (2002) related to complete mixability of continuous
distribution function having a symmetric and unimodal density. Two different
proofs to a resu... | 0 | 0 | 1 | 1 | 0 | 0 |
Secure uniform random number extraction via incoherent strategies | To guarantee the security of uniform random numbers generated by a quantum
random number generator, we study secure extraction of uniform random numbers
when the environment of a given quantum state is controlled by the third party,
the eavesdropper. Here we restrict our operations to incoherent strategies that
are c... | 1 | 0 | 0 | 0 | 0 | 0 |
Mobile Encryption Gateway (MEG) for Email Encryption | Email cryptography applications often suffer from major problems that prevent
their widespread implementation. MEG, or the Mobile Encryption Gateway aims to
fix the issues associated with email encryption by ensuring that encryption is
easy to perform while still maintaining data security. MEG performs automatic
decr... | 1 | 0 | 0 | 0 | 0 | 0 |
Nematic Skyrmions in Odd-Parity Superconductors | We study topological excitations in two-component nematic superconductors,
with a particular focus on Cu$_x$Bi$_2$Se$_3$ as a candidate material. We find
that the lowest-energy topological excitations are coreless vortices: a bound
state of two spatially separated half-quantum vortices. These objects are
nematic Skyr... | 0 | 1 | 0 | 0 | 0 | 0 |
Concentration and consistency results for canonical and curved exponential-family models of random graphs | Statistical inference for exponential-family models of random graphs with
dependent edges is challenging. We stress the importance of additional
structure and show that additional structure facilitates statistical inference.
A simple example of a random graph with additional structure is a random graph
with neighborh... | 0 | 0 | 1 | 1 | 0 | 0 |
Bayesian Network Learning via Topological Order | We propose a mixed integer programming (MIP) model and iterative algorithms
based on topological orders to solve optimization problems with acyclic
constraints on a directed graph. The proposed MIP model has a significantly
lower number of constraints compared to popular MIP models based on cycle
elimination constrai... | 1 | 0 | 0 | 1 | 0 | 0 |
The nature of the giant exomoon candidate Kepler-1625 b-i | The recent announcement of a Neptune-sized exomoon candidate around the
transiting Jupiter-sized object Kepler-1625 b could indicate the presence of a
hitherto unknown kind of gas giant moons, if confirmed. Three transits have
been observed, allowing radius estimates of both objects. Here we investigate
possible mass... | 0 | 1 | 0 | 0 | 0 | 0 |
Generative Adversarial Privacy | We present a data-driven framework called generative adversarial privacy
(GAP). Inspired by recent advancements in generative adversarial networks
(GANs), GAP allows the data holder to learn the privatization mechanism
directly from the data. Under GAP, finding the optimal privacy mechanism is
formulated as a constra... | 0 | 0 | 0 | 1 | 0 | 0 |
Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans | Eradicating hunger and malnutrition is a key development goal of the 21st
century. We address the problem of optimally identifying seed varieties to
reliably increase crop yield within a risk-sensitive decision-making framework.
Specifically, we introduce a novel hierarchical machine learning mechanism for
predicting... | 1 | 0 | 0 | 1 | 0 | 0 |
A Clinical and Finite Elements Study of Stress Urinary Incontinence in Women Using Fluid-Structure Interactions | Stress Urinary Incontinence (SUI) or urine leakage from urethra occurs due to
an increase in abdominal pressure resulting from stress like a cough or jumping
height. SUI is more frequent among post-menopausal women. In the absence of
bladder contraction, vesical pressure exceeds from urethral pressure leading to
urin... | 1 | 0 | 0 | 0 | 0 | 0 |
The n-term Approximation of Periodic Generalized Lévy Processes | In this paper, we study the compressibility of random processes and fields,
called generalized Lévy processes, that are solutions of stochastic
differential equations driven by $d$-dimensional periodic Lévy white noises.
Our results are based on the estimation of the Besov regularity of Lévy white
noises and generali... | 0 | 0 | 1 | 0 | 0 | 0 |
Sliced rotated sphere packing designs | Space-filling designs are popular choices for computer experiments. A sliced
design is a design that can be partitioned into several subdesigns. We propose
a new type of sliced space-filling design called sliced rotated sphere packing
designs. Their full designs and subdesigns are rotated sphere packing designs.
They... | 0 | 0 | 1 | 1 | 0 | 0 |
On the Convergence of Weighted AdaGrad with Momentum for Training Deep Neural Networks | Adaptive stochastic gradient descent methods, such as AdaGrad, RMSProp, Adam,
AMSGrad, etc., have been demonstrated efficacious in solving non-convex
stochastic optimization, such as training deep neural networks. However, their
convergence rates have not been touched under the non-convex stochastic
circumstance exce... | 1 | 0 | 0 | 1 | 0 | 0 |
Cyclic Dominance in the Spatial Coevolutionary Optional Prisoner's Dilemma Game | This paper studies scenarios of cyclic dominance in a coevolutionary spatial
model in which game strategies and links between agents adaptively evolve over
time. The Optional Prisoner's Dilemma (OPD) game is employed. The OPD is an
extended version of the traditional Prisoner's Dilemma where players have a
third opti... | 1 | 1 | 1 | 0 | 0 | 0 |
Analysis of universal adversarial perturbations | Deep networks have recently been shown to be vulnerable to universal
perturbations: there exist very small image-agnostic perturbations that cause
most natural images to be misclassified by such classifiers. In this paper, we
propose the first quantitative analysis of the robustness of classifiers to
universal pertur... | 1 | 0 | 0 | 1 | 0 | 0 |
Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks | We investigate anomaly detection in an unsupervised framework and introduce
Long Short Term Memory (LSTM) neural network based algorithms. In particular,
given variable length data sequences, we first pass these sequences through our
LSTM based structure and obtain fixed length sequences. We then find a decision
func... | 1 | 0 | 0 | 1 | 0 | 0 |
Wearable Health Monitoring Using Capacitive Voltage-Mode Human Body Communication | Rapid miniaturization and cost reduction of computing, along with the
availability of wearable and implantable physiological sensors have led to the
growth of human Body Area Network (BAN) formed by a network of such sensors and
computing devices. One promising application of such a network is wearable
health monitor... | 1 | 0 | 0 | 0 | 0 | 0 |
Electromagnetically Induced Transparency (EIT) and Autler-Townes (AT) splitting in the Presence of Band-Limited White Gaussian Noise | We investigate the effect of band-limited white Gaussian noise (BLWGN) on
electromagnetically induced transparency (EIT) and Autler-Townes (AT)
splitting, when performing atom-based continuous-wave (CW) radio-frequency (RF)
electric (E) field strength measurements with Rydberg atoms in an atomic vapor.
This EIT/AT-ba... | 0 | 1 | 0 | 0 | 0 | 0 |
SINR Outage Evaluation in Cellular Networks: Saddle Point Approximation (SPA) Using Normal Inverse Gaussian (NIG) Distribution | Signal-to-noise-plus-interference ratio (SINR) outage probability is among
one of the key performance metrics of a wireless cellular network. In this
paper, we propose a semi-analytical method based on saddle point approximation
(SPA) technique to calculate the SINR outage of a wireless system whose SINR
can be model... | 1 | 0 | 1 | 0 | 0 | 0 |
Smart grid modeling and simulation - Comparing GridLAB-D and RAPSim via two Case studies | One of the most important tools for the development of the smart grid is
simulation. Therefore, analyzing, designing, modeling, and simulating the smart
grid will allow to explore future scenarios and support decision making for the
grid's development. In this paper, we compare two open source simulation tools
for th... | 1 | 0 | 0 | 0 | 0 | 0 |
A Large-Scale CNN Ensemble for Medication Safety Analysis | Revealing Adverse Drug Reactions (ADR) is an essential part of post-marketing
drug surveillance, and data from health-related forums and medical communities
can be of a great significance for estimating such effects. In this paper, we
propose an end-to-end CNN-based method for predicting drug safety on user
comments ... | 1 | 0 | 0 | 0 | 0 | 0 |
Solutions to twisted word equations and equations in virtually free groups | It is well-known that the problem to solve equations in virtually free groups
can be reduced to the problem to solve twisted word equations with regular
constraints over free monoids with involution.
In a first part of the paper we prove that the set of all solutions of such a
twisted word equation is an EDT0L langua... | 1 | 0 | 1 | 0 | 0 | 0 |
DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting | Predicting traffic conditions has been recently explored as a way to relieve
traffic congestion. Several pioneering approaches have been proposed based on
traffic observations of the target location as well as its adjacent regions,
but they obtain somewhat limited accuracy due to lack of mining road topology.
To addr... | 1 | 0 | 0 | 0 | 0 | 0 |
On Statistical Optimality of Variational Bayes | The article addresses a long-standing open problem on the justification of
using variational Bayes methods for parameter estimation. We provide general
conditions for obtaining optimal risk bounds for point estimates acquired from
mean-field variational Bayesian inference. The conditions pertain to the
existence of c... | 0 | 0 | 1 | 1 | 0 | 0 |
The Teichmüller Stack | This paper is a comprehensive introduction to the results of [7]. It grew as
an expanded version of a talk given at INdAM Meeting Complex and Symplectic
Geometry, held at Cortona in June 12-18, 2016. It deals with the construction
of the Teichmüller space of a smooth compact manifold M (that is the space of
isomorphi... | 0 | 0 | 1 | 0 | 0 | 0 |
On the Impact of Micro-Packages: An Empirical Study of the npm JavaScript Ecosystem | The rise of user-contributed Open Source Software (OSS) ecosystems
demonstrate their prevalence in the software engineering discipline. Libraries
work together by depending on each other across the ecosystem. From these
ecosystems emerges a minimized library called a micro-package. Micro- packages
become problematic ... | 1 | 0 | 0 | 0 | 0 | 0 |
Location and Orientation Optimisation for Spatially Stretched Tripole Arrays Based on Compressive Sensing | The design of sparse spatially stretched tripole arrays is an important but
also challenging task and this paper proposes for the very first time efficient
solutions to this problem. Unlike for the design of traditional sparse antenna
arrays, the developed approaches optimise both the dipole locations and
orientation... | 1 | 0 | 0 | 0 | 0 | 0 |
Hausdorff dimension of limsup sets of random rectangles in products of regular spaces | The almost sure Hausdorff dimension of the limsup set of randomly distributed
rectangles in a product of Ahlfors regular metric spaces is computed in terms
of the singular value function of the rectangles.
| 0 | 0 | 1 | 0 | 0 | 0 |
Thermal Characterization of Microscale Heat Convection under Rare Gas Condition by a Modified Hot Wire Method | As power electronics shrinks down to sub-micron scale, the thermal transport
from a solid surface to environment becomes significant. Under circumstances
when the device works in rare gas environment, the scale for thermal transport
is comparable to the mean free path of molecules, and is difficult to
characterize. I... | 0 | 1 | 0 | 0 | 0 | 0 |
A summation formula for triples of quadratic spaces | Let $V_1,V_2,V_3$ be a triple of even dimensional vector spaces over a number
field $F$ equipped with nondegenerate quadratic forms
$\mathcal{Q}_1,\mathcal{Q}_2,\mathcal{Q}_3$, respectively. Let \begin{align*} Y
\subset \prod_{i=1}V_i \end{align*} be the closed subscheme consisting of
$(v_1,v_2,v_3)$ on which
$\mathc... | 0 | 0 | 1 | 0 | 0 | 0 |
Designing Strassen's algorithm | In 1969, Strassen shocked the world by showing that two n x n matrices could
be multiplied in time asymptotically less than $O(n^3)$. While the recursive
construction in his algorithm is very clear, the key gain was made by showing
that 2 x 2 matrix multiplication could be performed with only 7 multiplications
instea... | 1 | 0 | 1 | 0 | 0 | 0 |
A Software-equivalent SNN Hardware using RRAM-array for Asynchronous Real-time Learning | Spiking Neural Network (SNN) naturally inspires hardware implementation as it
is based on biology. For learning, spike time dependent plasticity (STDP) may
be implemented using an energy efficient waveform superposition on memristor
based synapse. However, system level implementation has three challenges.
First, a cl... | 1 | 0 | 0 | 0 | 0 | 0 |
Max flow vitality in general and $st$-planar graphs | The \emph{vitality} of an arc/node of a graph with respect to the maximum
flow between two fixed nodes $s$ and $t$ is defined as the reduction of the
maximum flow caused by the removal of that arc/node. In this paper we address
the issue of determining the vitality of arcs and/or nodes for the maximum flow
problem. W... | 1 | 0 | 0 | 0 | 0 | 0 |
Between Homomorphic Signal Processing and Deep Neural Networks: Constructing Deep Algorithms for Polyphonic Music Transcription | This paper presents a new approach in understanding how deep neural networks
(DNNs) work by applying homomorphic signal processing techniques. Focusing on
the task of multi-pitch estimation (MPE), this paper demonstrates the
equivalence relation between a generalized cepstrum and a DNN in terms of their
structures an... | 1 | 0 | 0 | 0 | 0 | 0 |
Negative membrane capacitance of outer hair cells: electromechanical coupling near resonance | The ability of the mammalian ear in processing high frequency sounds, up to
$\sim$100 kHz, is based on the capability of outer hair cells (OHCs) responding
to stimulation at high frequencies. These cells show a unique motility in their
cell body coupled with charge movement. With this motile element, voltage
changes ... | 0 | 1 | 0 | 0 | 0 | 0 |
Resonant inelastic x-ray scattering operators for $t_{2g}$ orbital systems | We derive general expressions for resonant inelastic x-ray scattering (RIXS)
operators for $t_{2g}$ orbital systems, which exhibit a rich array of
unconventional magnetism arising from unquenched orbital moments. Within the
fast collision approximation, which is valid especially for 4$d$ and 5$d$
transition metal com... | 0 | 1 | 0 | 0 | 0 | 0 |
Hamiltonian Path in Split Graphs- a Dichotomy | In this paper, we investigate Hamiltonian path problem in the context of
split graphs, and produce a dichotomy result on the complexity of the problem.
Our main result is a deep investigation of the structure of $K_{1,4}$-free
split graphs in the context of Hamiltonian path problem, and as a consequence,
we obtain a ... | 1 | 0 | 0 | 0 | 0 | 0 |
Design Patterns for Fusion-Based Object Retrieval | We address the task of ranking objects (such as people, blogs, or verticals)
that, unlike documents, do not have direct term-based representations. To be
able to match them against keyword queries, evidence needs to be amassed from
documents that are associated with the given object. We present two design
patterns, i... | 1 | 0 | 0 | 0 | 0 | 0 |
Early Routability Assessment in VLSI Floorplans: A Generalized Routing Model | Multiple design iterations are inevitable in nanometer Integrated Circuit
(IC) design flow until desired printability and performance metrics are
achieved. This starts with placement optimization aimed at improving
routability, wirelength, congestion and timing in the design. Contrarily, no
such practice exists on a ... | 1 | 0 | 0 | 0 | 0 | 0 |
Inverse Ising problem in continuous time: A latent variable approach | We consider the inverse Ising problem, i.e. the inference of network
couplings from observed spin trajectories for a model with continuous time
Glauber dynamics. By introducing two sets of auxiliary latent random variables
we render the likelihood into a form, which allows for simple iterative
inference algorithms wi... | 0 | 0 | 0 | 1 | 0 | 0 |
Analysis of the flux growth rate in emerging active regions on the Sun | We studied the emergence process of 42 active region (ARs) by analyzing the
time derivative, R(t), of the total unsigned flux. Line-of-sight magnetograms
acquired by the Helioseismic and Magnetic Imager (HMI) onboard the Solar
Dynamics Observatory (SDO) were used. A continuous piecewise linear fitting to
the R(t)-pro... | 0 | 1 | 0 | 0 | 0 | 0 |
Porosity and Differentiability of Lipschitz Maps from Stratified Groups to Banach Homogeneous Groups | Let $f$ be a Lipschitz map from a subset $A$ of a stratified group to a
Banach homogeneous group. We show that directional derivatives of $f$ act as
homogeneous homomorphisms at density points of $A$ outside a $\sigma$-porous
set. At density points of $A$ we establish a pointwise characterization of
differentiability... | 0 | 0 | 1 | 0 | 0 | 0 |
A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging | Sleep plays a vital role in human health, both mental and physical. Sleep
disorders like sleep apnea are increasing in prevalence, with the rapid
increase in factors like obesity. Sleep apnea is most commonly treated with
Continuous Positive Air Pressure (CPAP) therapy. Presently, however, there is
no mechanism to mo... | 0 | 0 | 0 | 1 | 0 | 0 |
Dominant dimension and tilting modules | We study which algebras have tilting modules that are both generated and
cogenerated by projective-injective modules. Crawley-Boevey and Sauter have
shown that Auslander algebras have such tilting modules; and for algebras of
global dimension $2$, Auslander algebras are classified by the existence of
such tilting mod... | 0 | 0 | 1 | 0 | 0 | 0 |
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method | Deep neural network models used for medical image segmentation are large
because they are trained with high-resolution three-dimensional (3D) images.
Graphics processing units (GPUs) are widely used to accelerate the trainings.
However, the memory on a GPU is not large enough to train the models. A popular
approach t... | 1 | 0 | 0 | 0 | 0 | 0 |
Direct Optical Visualization of Water Transport across Polymer Nano-films | Gaining a detailed understanding of water transport behavior through
ultra-thin polymer membranes is increasingly becoming necessary due to the
recent interest in exploring applications such as water desalination using
nanoporous membranes. Current techniques only measure bulk water transport
rates and do not offer d... | 0 | 1 | 0 | 0 | 0 | 0 |
Hyperbolicity cones and imaginary projections | Recently, the authors and de Wolff introduced the imaginary projection of a
polynomial $f\in\mathbb{C}[\mathbf{z}]$ as the projection of the variety of $f$
onto its imaginary part, $\mathcal{I}(f) \ = \ \{\text{Im}(\mathbf{z}) \, : \,
\mathbf{z} \in \mathcal{V}(f) \}$. Since a polynomial $f$ is stable if and only
if ... | 0 | 0 | 1 | 0 | 0 | 0 |
Fairness-aware Classification: Criterion, Convexity, and Bounds | Fairness-aware classification is receiving increasing attention in the
machine learning fields. Recently research proposes to formulate the
fairness-aware classification as constrained optimization problems. However,
several limitations exist in previous works due to the lack of a theoretical
framework for guiding th... | 0 | 0 | 0 | 1 | 0 | 0 |
Optimal Rates for Community Estimation in the Weighted Stochastic Block Model | Community identification in a network is an important problem in fields such
as social science, neuroscience, and genetics. Over the past decade, stochastic
block models (SBMs) have emerged as a popular statistical framework for this
problem. However, SBMs have an important limitation in that they are suited
only for... | 0 | 0 | 1 | 1 | 0 | 0 |
On Sound Relative Error Bounds for Floating-Point Arithmetic | State-of-the-art static analysis tools for verifying finite-precision code
compute worst-case absolute error bounds on numerical errors. These are,
however, often not a good estimate of accuracy as they do not take into account
the magnitude of the computed values. Relative errors, which compute errors
relative to th... | 1 | 0 | 0 | 0 | 0 | 0 |
Light yield determination in large sodium iodide detectors applied in the search for dark matter | Application of NaI(Tl) detectors in the search for galactic dark matter
particles through their elastic scattering off the target nuclei is well
motivated because of the long standing DAMA/LIBRA highly significant positive
result on annual modulation, still requiring confirmation. For such a goal, it
is mandatory to ... | 0 | 1 | 0 | 0 | 0 | 0 |
A Systematic Approach to Numerical Dispersion in Maxwell Solvers | The finite-difference time-domain (FDTD) method is a well established method
for solving the time evolution of Maxwell's equations. Unfortunately the scheme
introduces numerical dispersion and therefore phase and group velocities which
deviate from the correct values. The solution to Maxwell's equations in more
than ... | 0 | 1 | 0 | 0 | 0 | 0 |
On Synchronous, Asynchronous, and Randomized Best-Response schemes for computing equilibria in Stochastic Nash games | This work considers a stochastic Nash game in which each player solves a
parameterized stochastic optimization problem. In deterministic regimes,
best-response schemes have been shown to be convergent under a suitable
spectral property associated with the proximal best-response map. However, a
direct application of t... | 0 | 0 | 1 | 0 | 0 | 0 |
On the insertion of n-powers | In algebraic terms, the insertion of $n$-powers in words may be modelled at
the language level by considering the pseudovariety of ordered monoids defined
by the inequality $1\le x^n$. We compare this pseudovariety with several other
natural pseudovarieties of ordered monoids and of monoids associated with the
Burnsi... | 1 | 0 | 1 | 0 | 0 | 0 |
The TUS detector of extreme energy cosmic rays on board the Lomonosov satellite | The origin and nature of extreme energy cosmic rays (EECRs), which have
energies above the 50 EeV, the Greisen-Zatsepin-Kuzmin (GZK) energy limit, is
one of the most interesting and complicated problems in modern cosmic-ray
physics. Existing ground-based detectors have helped to obtain remarkable
results in studying ... | 0 | 1 | 0 | 0 | 0 | 0 |
New ellipsometric approach for determining small light ellipticities | We propose a precise ellipsometric method for the investigation of coherent
light with a small ellipticity. The main feature of this method is the use of
compensators with phase delays providing the maximum accuracy of measurements
for the selected range of ellipticities and taking into account the
interference of mu... | 0 | 1 | 0 | 0 | 0 | 0 |
Maximizing the Mutual Information of Multi-Antenna Links Under an Interfered Receiver Power Constraint | Single-user multiple-input / multiple-output (SU-MIMO) communication systems
have been successfully used over the years and have provided a significant
increase on a wireless link's capacity by enabling the transmission of multiple
data streams. Assuming channel knowledge at the transmitter, the maximization
of the m... | 1 | 0 | 0 | 0 | 0 | 0 |
Multistationarity and Bistability for Fewnomial Chemical Reaction Networks | Bistability and multistationarity are properties of reaction networks linked
to switch-like responses and connected to cell memory and cell decision making.
Determining whether and when a network exhibits bistability is a hard and open
mathematical problem. One successful strategy consists of analyzing small
networks... | 1 | 0 | 0 | 0 | 1 | 0 |
Erratum: Link prediction in drug-target interactions network using similarity indices | Background: In silico drug-target interaction (DTI) prediction plays an
integral role in drug repositioning: the discovery of new uses for existing
drugs. One popular method of drug repositioning is network-based DTI
prediction, which uses complex network theory to predict DTIs from a
drug-target network. Currently, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Variable Selection for Highly Correlated Predictors | Penalty-based variable selection methods are powerful in selecting relevant
covariates and estimating coefficients simultaneously. However, variable
selection could fail to be consistent when covariates are highly correlated.
The partial correlation approach has been adopted to solve the problem with
correlated covar... | 0 | 0 | 1 | 1 | 0 | 0 |
Scraping and Preprocessing Commercial Auction Data for Fraud Classification | In the last three decades, we have seen a significant increase in trading
goods and services through online auctions. However, this business created an
attractive environment for malicious moneymakers who can commit different types
of fraud activities, such as Shill Bidding (SB). The latter is predominant
across many... | 0 | 0 | 0 | 1 | 0 | 0 |
Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases | The impact of the maximally possible batch size (for the better runtime) on
performance of graphic processing units (GPU) and tensor processing units (TPU)
during training and inference phases is investigated. The numerous runs of the
selected deep neural network (DNN) were performed on the standard MNIST and
Fashion... | 1 | 0 | 0 | 0 | 0 | 0 |
Minimax Euclidean Separation Rates for Testing Convex Hypotheses in $\mathbb{R}^d$ | We consider composite-composite testing problems for the expectation in the
Gaussian sequence model where the null hypothesis corresponds to a convex
subset $\mathcal{C}$ of $\mathbb{R}^d$. We adopt a minimax point of view and
our primary objective is to describe the smallest Euclidean distance between
the null and a... | 0 | 0 | 1 | 1 | 0 | 0 |
Simple Policy Evaluation for Data-Rich Iterative Tasks | A data-based policy for iterative control task is presented. The proposed
strategy is model-free and can be applied whenever safe input and state
trajectories of a system performing an iterative task are available. These
trajectories, together with a user-defined cost function, are exploited to
construct a piecewise ... | 1 | 0 | 0 | 0 | 0 | 0 |
Proper quadrics in the Euclidean $n$-space | In this paper we investigate the metric properties of quadrics and cones of
the $n$-dimensional Euclidean space. As applications of our formulas we give a
more detailed description of the construction of Chasles and the wire model of
Staude, respectively.
| 0 | 0 | 1 | 0 | 0 | 0 |
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