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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Plasma-based wakefield accelerators as sources of axion-like particles | We estimate the average flux density of minimally-coupled axion-like
particles generated by a laser-driven plasma wakefield propagating along a
constant strong magnetic field. Our calculations suggest that a terrestrial
source based on this approach could generate a pulse of axion-like particles
whose flux density is... | 0 | 1 | 0 | 0 | 0 | 0 |
The Large D Limit of Planar Diagrams | We show that in $\text{O}(D)$ invariant matrix theories containing a large
number $D$ of complex or Hermitian matrices, one can define a
$D\rightarrow\infty$ limit for which the sum over planar diagrams truncates to
a tractable, yet non-trivial, sum over melon diagrams. In particular, results
obtained recently in SYK... | 0 | 0 | 1 | 0 | 0 | 0 |
Trajectory Tracking Control of a Flexible Spine Robot, With and Without a Reference Input | The Underactuated Lightweight Tensegrity Robotic Assistive Spine (ULTRA
Spine) project is an ongoing effort to develop a flexible, actuated backbone
for quadruped robots. In this work, model-predictive control is used to track a
trajectory in the robot's state space, in simulation. The state trajectory used
here corr... | 1 | 0 | 0 | 0 | 0 | 0 |
Noncoherent Analog Network Coding using LDPC-coded FSK | Analog network coding (ANC) is a throughput increasing technique for the
two-way relay channel (TWRC) whereby two end nodes transmit simultaneously to a
relay at the same time and band, followed by the relay broadcasting the
received sum of signals to the end nodes. Coherent reception under ANC is
challenging due to ... | 1 | 0 | 0 | 0 | 0 | 0 |
Feature selection in weakly coherent matrices | A problem of paramount importance in both pure (Restricted Invertibility
problem) and applied mathematics (Feature extraction) is the one of selecting a
submatrix of a given matrix, such that this submatrix has its smallest singular
value above a specified level. Such problems can be addressed using
perturbation anal... | 0 | 0 | 0 | 1 | 0 | 0 |
Learning to Detect and Mitigate Cross-layer Attacks in Wireless Networks: Framework and Applications | Security threats such as jamming and route manipulation can have significant
consequences on the performance of modern wireless networks. To increase the
efficacy and stealthiness of such threats, a number of extremely challenging,
cross-layer attacks have been recently unveiled. Although existing research has
thorou... | 1 | 0 | 0 | 0 | 0 | 0 |
MHD Turbulence in spin-down flows of liquid metals | Intense spin-down flows allow one to reach high Rm in relatively small
laboratory setups using moderate mass of liquid metals. The spin-down flow in
toroidal channels was the first flow configuration used for studying dynamo
effects in non-stationary flows. In this paper, we estimate the effect of
small-scale dynamo ... | 0 | 1 | 0 | 0 | 0 | 0 |
Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks | The multi-agent path-finding (MAPF) problem has recently received a lot of
attention. However, it does not capture important characteristics of many
real-world domains, such as automated warehouses, where agents are constantly
engaged with new tasks. In this paper, we therefore study a lifelong version of
the MAPF pr... | 1 | 0 | 0 | 0 | 0 | 0 |
Examples of finite dimensional algebras which do not satisfy the derived Jordan--Hölder property | We construct a matrix algebra $\Lambda(A,B)$ from two given finite
dimensional elementary algebras $A$ and $B$ and give some sufficient conditions
on $A$ and $B$ under which the derived Jordan--Hölder property (DJHP) fails
for $\Lambda(A,B)$. This provides finite dimensional algebras of finite global
dimension which ... | 0 | 0 | 1 | 0 | 0 | 0 |
Learning retrosynthetic planning through self-play | The problem of retrosynthetic planning can be framed as one player game, in
which the chemist (or a computer program) works backwards from a molecular
target to simpler starting materials though a series of choices regarding which
reactions to perform. This game is challenging as the combinatorial space of
possible c... | 1 | 0 | 0 | 1 | 0 | 0 |
Real-space analysis of scanning tunneling microscopy topography datasets using sparse modeling approach | A sparse modeling approach is proposed for analyzing scanning tunneling
microscopy topography data, which contains numerous peaks corresponding to
surface atoms. The method, based on the relevance vector machine with
$\mathrm{L}_1$ regularization and $k$-means clustering, enables separation of
the peaks and atomic ce... | 0 | 1 | 0 | 0 | 0 | 0 |
Scattered light intensity measurements of plasma treated Polydimethylsiloxane films: A measure to detect surface modification | Polydimethylsiloxane (PDMS) films possess different chemical and physical
properties based on surface modification. The bond structure of pristine PDMS
films and plasma treated PDMS films differ in a particular region of silicate
bonds. We have studied the surface physical properties of pristine PDMS films
and plasma... | 0 | 1 | 0 | 0 | 0 | 0 |
A hierarchical Bayesian model for predicting ecological interactions using evolutionary relationships | Identifying undocumented or potential future interactions among species is a
challenge facing modern ecologists. Recent link prediction methods rely on
trait data, however large species interaction databases are typically sparse
and covariates are limited to only a fraction of species. On the other hand,
evolutionary... | 0 | 0 | 0 | 1 | 0 | 0 |
Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images | Pathological lung segmentation (PLS) is an important, yet challenging,
medical image application due to the wide variability of pathological lung
appearance and shape. Because PLS is often a pre-requisite for other imaging
analytics, methodological simplicity and generality are key factors in
usability. Along those l... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Helium fingers in the intracluster medium | In this paper we investigate the convection phenomenon in the intracluster
medium (the weakly-collisional magnetized inhomogeneous plasma permeating
galaxy clusters) where the concentration gradient of the Helium ions is not
ignorable. To this end, we build upon the general machinery employed to study
the salt finger... | 0 | 1 | 0 | 0 | 0 | 0 |
Absolute frequency determination of molecular transition in the Doppler regime at kHz level of accuracy | We present absolute frequency measurement of the unperturbed P7 P7 O$_2$
B-band transition with relative standard uncertainty of $2\times10^{-11}$. We
reached the level of accuracy typical for Doppler-free techniques, with
Doppler-limited spectroscopy. The Doppler-limited shapes of the P7 P7 spectral
line were measur... | 0 | 1 | 0 | 0 | 0 | 0 |
Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification | Similarity search is essential to many important applications and often
involves searching at scale on high-dimensional data based on their similarity
to a query. In biometric applications, recent vulnerability studies have shown
that adversarial machine learning can compromise biometric recognition systems
by exploi... | 1 | 0 | 0 | 0 | 0 | 0 |
Sublinear elliptic problems under radiality. Harmonic $NA$ groups and Euclidean spaces | Let $\L $ be the Laplace operator on $\R ^d$, $d\geq 3$ or the Laplace
Beltrami operator on the harmonic $NA$ group (in particular on a rank one
noncompact symmetric space).
For the equation $ \L u - \varphi(\cdot,u)=0$ we give necessary and
sufficient conditions for the existence of entire bounded or large solutions... | 0 | 0 | 1 | 0 | 0 | 0 |
Bayesian Uncertainty Directed Trial Designs | Most Bayesian response-adaptive designs unbalance randomization rates towards
the most promising arms with the goal of increasing the number of positive
treatment outcomes during the study, even though the primary aim of the trial
is different. We discuss Bayesian uncertainty directed designs (BUD), a class
of Bayesi... | 0 | 0 | 0 | 1 | 0 | 0 |
Wasserstein Learning of Deep Generative Point Process Models | Point processes are becoming very popular in modeling asynchronous sequential
data due to their sound mathematical foundation and strength in modeling a
variety of real-world phenomena. Currently, they are often characterized via
intensity function which limits model's expressiveness due to unrealistic
assumptions on... | 1 | 0 | 0 | 1 | 0 | 0 |
Interior Structures and Tidal Heating in the TRAPPIST-1 Planets | With seven planets, the TRAPPIST-1 system has the largest number of
exoplanets discovered in a single system so far. The system is of
astrobiological interest, because three of its planets orbit in the habitable
zone of the ultracool M dwarf. Assuming the planets are composed of
non-compressible iron, rock, and H$_2$... | 0 | 1 | 0 | 0 | 0 | 0 |
A Driver-in-the Loop Fuel Economic Control Strategy for Connected Vehicles in Urban Roads | In this paper, we focus on developing driver-in-the loop fuel economic
control strategy for multiple connected vehicles. The control strategy is
considered to work in a driver assistance framework where the controller gives
command to a driver to follow while considering the ability of the driver in
following control... | 1 | 0 | 0 | 0 | 0 | 0 |
A General and Adaptive Robust Loss Function | We present a generalization of the Cauchy/Lorentzian, Geman-McClure,
Welsch/Leclerc, generalized Charbonnier, Charbonnier/pseudo-Huber/L1-L2, and L2
loss functions. By introducing robustness as a continous parameter, our loss
function allows algorithms built around robust loss minimization to be
generalized, which im... | 1 | 0 | 0 | 1 | 0 | 0 |
Asymptotically Efficient Estimation of Smooth Functionals of Covariance Operators | Let $X$ be a centered Gaussian random variable in a separable Hilbert space
${\mathbb H}$ with covariance operator $\Sigma.$ We study a problem of
estimation of a smooth functional of $\Sigma$ based on a sample $X_1,\dots
,X_n$ of $n$ independent observations of $X.$ More specifically, we are
interested in functional... | 0 | 0 | 1 | 1 | 0 | 0 |
Evolution of magnetic and dielectric properties in Sr-substituted high temperature multiferroic YBaCuFeO5 | We report the evolution of structural, magnetic and dielectric properties due
to partial substitution of Ba by Sr in the high temperature multiferroic
YBaCuFeO5. This compound exhibits ferroelectric and antiferromagnetic
transitions around 200 K and these two phenomena are presumed to be coupled
with each other. Our ... | 0 | 1 | 0 | 0 | 0 | 0 |
Regular Intersecting Families | We call a family of sets intersecting, if any two sets in the family
intersect. In this paper we investigate intersecting families $\mathcal{F}$ of
$k$-element subsets of $[n]:=\{1,\ldots, n\},$ such that every element of $[n]$
lies in the same (or approximately the same) number of members of
$\mathcal{F}$. In partic... | 1 | 0 | 0 | 0 | 0 | 0 |
Stochastic Maximum Likelihood Optimization via Hypernetworks | This work explores maximum likelihood optimization of neural networks through
hypernetworks. A hypernetwork initializes the weights of another network, which
in turn can be employed for typical functional tasks such as regression and
classification. We optimize hypernetworks to directly maximize the conditional
likel... | 1 | 0 | 0 | 1 | 0 | 0 |
Magnetic resonance of rubidium atoms passing through a multi-layered transmission magnetic grating | We measured the magnetic resonance of rubidium atoms passing through periodic
magnetic fields generated by two types of multilayered transmission magnetic
grating. One of the gratings reported here was assembled by stacking four
layers of magnetic films so that the direction of magnetization alternated at
each level.... | 0 | 1 | 0 | 0 | 0 | 0 |
Fast multi-output relevance vector regression | This paper aims to decrease the time complexity of multi-output relevance
vector regression from O(VM^3) to O(V^3+M^3), where V is the number of output
dimensions, M is the number of basis functions, and V<M. The experimental
results demonstrate that the proposed method is more competitive than the
existing method, w... | 1 | 0 | 0 | 1 | 0 | 0 |
Computing LPMLN Using ASP and MLN Solvers | LPMLN is a recent addition to probabilistic logic programming languages. Its
main idea is to overcome the rigid nature of the stable model semantics by
assigning a weight to each rule in a way similar to Markov Logic is defined. We
present two implementations of LPMLN, $\text{LPMLN2ASP}$ and
$\text{LPMLN2MLN}$. Syste... | 1 | 0 | 0 | 0 | 0 | 0 |
Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences | In his seminal book `The Inmates are Running the Asylum: Why High-Tech
Products Drive Us Crazy And How To Restore The Sanity' [2004, Sams
Indianapolis, IN, USA], Alan Cooper argues that a major reason why software is
often poorly designed (from a user perspective) is that programmers are in
charge of design decisions... | 1 | 0 | 0 | 0 | 0 | 0 |
Building Emotional Machines: Recognizing Image Emotions through Deep Neural Networks | An image is a very effective tool for conveying emotions. Many researchers
have investigated in computing the image emotions by using various features
extracted from images. In this paper, we focus on two high level features, the
object and the background, and assume that the semantic information of images
is a good ... | 1 | 0 | 0 | 0 | 0 | 0 |
Soft Rough Graphs | Soft set theory and rough set theory are mathematical tools to deal with
uncertainties. In [3], authors combined these concepts and introduced soft
rough sets. In this paper, we introduce the concepts of soft rough graphs,
vertex and edge induced soft rough graphs and soft rough trees. We define some
products with ex... | 0 | 0 | 1 | 0 | 0 | 0 |
PPMF: A Patient-based Predictive Modeling Framework for Early ICU Mortality Prediction | To date, developing a good model for early intensive care unit (ICU)
mortality prediction is still challenging. This paper presents a patient based
predictive modeling framework (PPMF) to improve the performance of ICU
mortality prediction using data collected during the first 48 hours of ICU
admission. PPMF consists... | 1 | 0 | 0 | 0 | 0 | 0 |
Zeros of real random polynomials spanned by OPUC | Let \( \{\varphi_i\}_{i=0}^\infty \) be a sequence of orthonormal polynomials
on the unit circle with respect to a probability measure \( \mu \). We study
zero distribution of random linear combinations of the form \[
P_n(z)=\sum_{i=0}^{n-1}\eta_i\varphi_i(z), \] where \( \eta_0,\dots,\eta_{n-1}
\) are i.i.d. standar... | 0 | 0 | 1 | 0 | 0 | 0 |
Indirect observation of molecular disassociation in solid benzene at low temperatures | The molecular dynamics of solid benzene are extremely complex; especially
below 77 K, its inner mechanics remain mostly unexplored. Benzene is also a
prototypical molecular crystal that becomes energetically frustrated at low
temperatures and usually unusual phenomena accompanies such scenarios. We
performed dielectr... | 0 | 1 | 0 | 0 | 0 | 0 |
Green's function-based control-oriented modeling of electric field for dielectrophoresis | In this paper, we propose a novel approach to obtaining a reliable and simple
mathematical model of a dielectrophoretic force for model-based feedback
micromanipulation. Any such model is expected to sufficiently accurately relate
the voltages (electric potentials) applied to the electrodes to the resulting
forces ex... | 0 | 1 | 0 | 0 | 0 | 0 |
Hilbert Bases and Lecture Hall Partitions | In the interest of finding the minimum additive generating set for the set of
$\boldsymbol{s}$-lecture hall partitions, we compute the Hilbert bases for the
$\boldsymbol{s}$-lecture hall cones in certain cases. In particular, we compute
the Hilbert bases for two well-studied families of sequences, namely the $1\mod
k... | 0 | 0 | 1 | 0 | 0 | 0 |
CLUBB-SILHS: A parameterization of subgrid variability in the atmosphere | This document provides a detailed overview of the CLUBB-SILHS cloud and
turbulence parameterization, including theoretical background, model equations,
closure assumptions, simulation results, comparison with other parameterization
methods, FAQs, and source code documentation.
| 0 | 1 | 0 | 0 | 0 | 0 |
Relative Entropy in CFT | By using Araki's relative entropy, Lieb's convexity and the theory of
singular integrals, we compute the mutual information associated with free
fermions, and we deduce many results about entropies for chiral CFT's which are
embedded into free fermions, and their extensions. Such relative entropies in
CFT are here co... | 0 | 0 | 1 | 0 | 0 | 0 |
Approximate Supermodularity Bounds for Experimental Design | This work provides performance guarantees for the greedy solution of
experimental design problems. In particular, it focuses on A- and E-optimal
designs, for which typical guarantees do not apply since the mean-square error
and the maximum eigenvalue of the estimation error covariance matrix are not
supermodular. To ... | 1 | 0 | 1 | 1 | 0 | 0 |
A new precision measurement of the α-decay half-life of 190Pt | A laboratory measurement of the $\alpha$-decay half-life of $^{190}$Pt has
been performed using a low background Frisch grid ionisation chamber. A total
amount of 216.60(17) mg of natural platinum has been measured for 75.9 days.
The resulting half-life is $(4.97\pm0.16)\times 10^{11}$ years, with a total
uncertainty... | 0 | 1 | 0 | 0 | 0 | 0 |
Online Inverse Reinforcement Learning via Bellman Gradient Iteration | This paper develops an online inverse reinforcement learning algorithm aimed
at efficiently recovering a reward function from ongoing observations of an
agent's actions. To reduce the computation time and storage space in reward
estimation, this work assumes that each observed action implies a change of the
Q-value d... | 1 | 0 | 0 | 0 | 0 | 0 |
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions | Deep learning has the potential to revolutionize quantum chemistry as it is
ideally suited to learn representations for structured data and speed up the
exploration of chemical space. While convolutional neural networks have proven
to be the first choice for images, audio and video data, the atoms in molecules
are no... | 0 | 1 | 0 | 1 | 0 | 0 |
Generalized magnetic mirrors | We propose generalized magnetic mirrors that can be achieved by excitations
of sole electric resonances. Conventional approaches to obtain magnetic mirrors
rely heavily on exciting the fundamental magnetic dipoles, whereas here we
reveal that besides magnetic resonances, electric resonances of higher orders
can be al... | 0 | 1 | 0 | 0 | 0 | 0 |
Cryogenic readout for multiple VUV4 Multi-Pixel Photon Counters in liquid xenon | We present the performances and characterization of an array made of
S13370-3050CN (VUV4 generation) Multi-Pixel Photon Counters manufactured by
Hamamatsu and equipped with a low power consumption preamplifier operating at
liquid xenon temperature (~ 175 K). The electronics is designed for the readout
of a matrix of ... | 0 | 1 | 0 | 0 | 0 | 0 |
A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting | One of the key technologies for future large-scale location-aware services
covering a complex of multi-story buildings --- e.g., a big shopping mall and a
university campus --- is a scalable indoor localization technique. In this
paper, we report the current status of our investigation on the use of deep
neural netwo... | 1 | 0 | 0 | 1 | 0 | 0 |
A latent spatial factor approach for synthesizing opioid associated deaths and treatment admissions in Ohio counties | Background: Opioid misuse is a major public health issue in the United States
and in particular Ohio. However, the burden of the epidemic is challenging to
quantify as public health surveillance measures capture different aspects of
the problem. Here we synthesize county-level death and treatment counts to
compare th... | 0 | 0 | 0 | 1 | 0 | 0 |
The Cost of Transportation : Spatial Analysis of US Fuel Prices | The geography of fuel prices has many various implications, from its
significant impact on accessibility to being an indicator of territorial equity
and transportation policy. In this paper, we study the spatio-temporal patterns
of fuel price in the US at a very high resolution using a newly constructed
dataset colle... | 0 | 1 | 0 | 1 | 0 | 0 |
Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based Shape Priors | Shape priors have been widely utilized in medical image segmentation to
improve segmentation accuracy and robustness. A major way to encode such a
prior shape model is to use a mesh representation, which is prone to causing
self-intersection or mesh folding. Those problems require complex and expensive
algorithms to ... | 1 | 0 | 0 | 0 | 0 | 0 |
Discovery of water at high spectral resolution in the atmosphere of 51 Peg b | We report the detection of water absorption features in the dayside spectrum
of the first-known hot Jupiter, 51 Peg b, confirming the star-planet system to
be a double-lined spectroscopic binary. We used high-resolution (R~100,000),
3.2 micron spectra taken with CRIRES/VLT to trace the radial-velocity shift of
the wa... | 0 | 1 | 0 | 0 | 0 | 0 |
A strengthened inequality of Alon-Babai-Suzuki's conjecture on set systems with restricted intersections modulo p | Let $K=\{k_1,k_2,\ldots,k_r\}$ and $L=\{l_1,l_2,\ldots,l_s\}$ be disjoint
subsets of $\{0,1,\ldots,p-1\}$, where $p$ is a prime and
$A=\{A_1,A_2,\ldots,A_m\}$ be a family of subsets of $[n]$ such that
$|A_i|\pmod{p}\in K$ for all $A_i\in A$ and $|A_i\cap A_j|\pmod{p}\in L$ for
$i\ne j$. In 1991, Alon, Babai and Suzuk... | 0 | 0 | 1 | 0 | 0 | 0 |
Traditional and Heavy-Tailed Self Regularization in Neural Network Models | Random Matrix Theory (RMT) is applied to analyze the weight matrices of Deep
Neural Networks (DNNs), including both production quality, pre-trained models
such as AlexNet and Inception, and smaller models trained from scratch, such as
LeNet5 and a miniature-AlexNet. Empirical and theoretical results clearly
indicate ... | 1 | 0 | 0 | 1 | 0 | 0 |
Interfacial Mechanical Behaviors in Carbon Nanotube Assemblies | Interface widely exists in carbon nanotube (CNT) assembly materials, taking
place at different length scales. It determines severely the mechanical
properties of these assembly materials. Here I assess the mechanical properties
of individual CNTs and CNT bundles, the inter-layer or inter-shell mechanics in
multi-wall... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning a Latent Space of Multitrack Measures | Discovering and exploring the underlying structure of multi-instrumental
music using learning-based approaches remains an open problem. We extend the
recent MusicVAE model to represent multitrack polyphonic measures as vectors in
a latent space. Our approach enables several useful operations such as
generating plausi... | 0 | 0 | 0 | 1 | 0 | 0 |
Multimodal Affect Analysis for Product Feedback Assessment | Consumers often react expressively to products such as food samples, perfume,
jewelry, sunglasses, and clothing accessories. This research discusses a
multimodal affect recognition system developed to classify whether a consumer
likes or dislikes a product tested at a counter or kiosk, by analyzing the
consumer's fac... | 1 | 0 | 0 | 0 | 0 | 0 |
Distributed Learning for Cooperative Inference | We study the problem of cooperative inference where a group of agents
interact over a network and seek to estimate a joint parameter that best
explains a set of observations. Agents do not know the network topology or the
observations of other agents. We explore a variational interpretation of the
Bayesian posterior ... | 1 | 0 | 1 | 1 | 0 | 0 |
Selection of training populations (and other subset selection problems) with an accelerated genetic algorithm (STPGA: An R-package for selection of training populations with a genetic algorithm) | Optimal subset selection is an important task that has numerous algorithms
designed for it and has many application areas. STPGA contains a special
genetic algorithm supplemented with a tabu memory property (that keeps track of
previously tried solutions and their fitness for a number of iterations), and
with a regre... | 0 | 0 | 0 | 1 | 0 | 0 |
CERES in Propositional Proof Schemata | Cut-elimination is one of the most famous problems in proof theory, and it
was defined and solved for first-order sequent calculus by Gentzen in his
celebrated Hauptsatz. Ceres is a different cut-elimination algorithm for first-
and higher-order classical logic. Ceres was extended to proof schemata, which
are templat... | 1 | 0 | 1 | 0 | 0 | 0 |
A Schur decomposition reveals the richness of structure in homogeneous, isotropic turbulence as a consequence of localised shear | An improved understanding of turbulence is essential for the effective
modelling and control of industrial and geophysical processes. Homogeneous,
isotropic turbulence (HIT) is the archetypal field for developing turbulence
physics theory. Based on the Schur transform, we introduce an additive
decomposition of the ve... | 0 | 1 | 0 | 0 | 0 | 0 |
Parametrizing filters of a CNN with a GAN | It is commonly agreed that the use of relevant invariances as a good
statistical bias is important in machine-learning. However, most approaches
that explicitly incorporate invariances into a model architecture only make use
of very simple transformations, such as translations and rotations. Hence,
there is a need fo... | 1 | 0 | 0 | 1 | 0 | 0 |
Monolayer FeSe on SrTiO$_3$ | Epitaxial engineering of solid-state heterointerfaces is a leading avenue to
realizing enhanced or novel electronic states of matter. As a recent example,
bulk FeSe is an unconventional superconductor with a modest transition
temperature ($T_c$) of 9 K. When a single atomic layer of FeSe is grown on
SrTiO$_3$, howeve... | 0 | 1 | 0 | 0 | 0 | 0 |
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models | Estimating multiple sparse Gaussian Graphical Models (sGGMs) jointly for many
related tasks (large $K$) under a high-dimensional (large $p$) situation is an
important task. Most previous studies for the joint estimation of multiple
sGGMs rely on penalized log-likelihood estimators that involve expensive and
difficult... | 1 | 0 | 0 | 1 | 0 | 0 |
Quantum Spin Liquids Unveil the Genuine Mott State | The Widom line identifies the locus in the phase diagram where a
supercritical gas crosses over from gas-like to a more liquid-like behavior. A
similar transition exists in correlated electron liquids, where the interplay
of Coulomb repulsion, bandwidth and temperature triggers between the Mott
insulating state and a... | 0 | 1 | 0 | 0 | 0 | 0 |
Parameter and State Estimation in Queues and Related Stochastic Models: A Bibliography | This is an annotated bibliography on estimation and inference results for
queues and related stochastic models. The purpose of this document is to
collect and categorise works in the field, allowing for researchers and
practitioners to explore the various types of results that exist. This
bibliography attempts to inc... | 1 | 0 | 1 | 1 | 0 | 0 |
Towards a Social Virtual Reality Learning Environment in High Fidelity | Virtual Learning Environments (VLEs) are spaces designed to educate students
remotely via online platforms. Although traditional VLEs such as iSocial have
shown promise in educating students, they offer limited immersion that
diminishes learning effectiveness. This paper outlines a virtual reality
learning environmen... | 1 | 0 | 0 | 0 | 0 | 0 |
L2 Regularization versus Batch and Weight Normalization | Batch Normalization is a commonly used trick to improve the training of deep
neural networks. These neural networks use L2 regularization, also called
weight decay, ostensibly to prevent overfitting. However, we show that L2
regularization has no regularizing effect when combined with normalization.
Instead, regulari... | 1 | 0 | 0 | 1 | 0 | 0 |
Bitwise Operations of Cellular Automaton on Gray-scale Images | Cellular Automata (CA) theory is a discrete model that represents the state
of each of its cells from a finite set of possible values which evolve in time
according to a pre-defined set of transition rules. CA have been applied to a
number of image processing tasks such as Convex Hull Detection, Image Denoising
etc. ... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems | Recently, deep learning approaches with various network architectures have
achieved significant performance improvement over existing iterative
reconstruction methods in various imaging problems. However, it is still
unclear why these deep learning architectures work for specific inverse
problems. To address these is... | 1 | 0 | 0 | 1 | 0 | 0 |
Enhanced bacterial swimming speeds in macromolecular polymer solutions | The locomotion of swimming bacteria in simple Newtonian fluids can
successfully be described within the framework of low Reynolds number
hydrodynamics. The presence of polymers in biofluids generally increases the
viscosity, which is expected to lead to slower swimming for a constant
bacterial motor torque. Surprisin... | 0 | 1 | 0 | 0 | 0 | 0 |
An Algebraic Treatment of Recursion | I review the three principal methods to assign meaning to recursion in
process algebra: the denotational, the operational and the algebraic approach,
and I extend the latter to unguarded recursion.
| 1 | 0 | 0 | 0 | 0 | 0 |
On Approximation for Fractional Stochastic Partial Differential Equations on the Sphere | This paper gives the exact solution in terms of the Karhunen-Loève
expansion to a fractional stochastic partial differential equation on the unit
sphere $\mathbb{S}^{2}\subset \mathbb{R}^{3}$ with fractional Brownian motion
as driving noise and with random initial condition given by a fractional
stochastic Cauchy pro... | 0 | 0 | 1 | 1 | 0 | 0 |
Learning Structural Node Embeddings Via Diffusion Wavelets | Nodes residing in different parts of a graph can have similar structural
roles within their local network topology. The identification of such roles
provides key insight into the organization of networks and can be used for a
variety of machine learning tasks. However, learning structural representations
of nodes is ... | 1 | 0 | 0 | 1 | 0 | 0 |
Excitonic mass gap in uniaxially strained graphene | We study the conditions for spontaneously generating an excitonic mass gap
due to Coulomb interactions between anisotropic Dirac fermions in uniaxially
strained graphene. The mass gap equation is realized as a self-consistent
solution for the self-energy within the Hartree-Fock mean-field and static
random phase appr... | 0 | 1 | 0 | 0 | 0 | 0 |
On spectral properties of high-dimensional spatial-sign covariance matrices in elliptical distributions with applications | Spatial-sign covariance matrix (SSCM) is an important substitute of sample
covariance matrix (SCM) in robust statistics. This paper investigates the SSCM
on its asymptotic spectral behaviors under high-dimensional elliptical
populations, where both the dimension $p$ of observations and the sample size
$n$ tend to inf... | 0 | 0 | 1 | 1 | 0 | 0 |
Decoupled Potential Integral Equations for Electromagnetic Scattering from Dielectric Objects | Recent work on developing novel integral equation formulations has involved
using potentials as opposed to fields. This is a consequence of the additional
flexibility offered by using potentials to develop well conditioned systems.
Most of the work in this arena has wrestled with developing this formulation
for perfe... | 0 | 1 | 0 | 0 | 0 | 0 |
High-field transport properties of a P-doped BaFe2As2 film on technical substrate | High temperature (high-Tc) superconductors like cuprates have superior
critical current properties in magnetic fields over other superconductors.
However, superconducting wires for high-field-magnet applications are still
dominated by low-Tc Nb3Sn due probably to cost and processing issues. The
recent discovery of a ... | 0 | 1 | 0 | 0 | 0 | 0 |
Construction of and efficient sampling from the simplicial configuration model | Simplicial complexes are now a popular alternative to networks when it comes
to describing the structure of complex systems, primarily because they encode
multi-node interactions explicitly. With this new description comes the need
for principled null models that allow for easy comparison with empirical data.
We prop... | 0 | 1 | 1 | 1 | 0 | 0 |
Local and 2-local derivations and automorphisms on simple Leibniz algebras | The present paper is devoted to local and 2-local derivations and
automorphism of complex finite-dimensional simple Leibniz algebras. We prove
that all local derivations and 2-local derivations on a finite-dimensional
complex simple Leibniz algebra are automatically derivations. We show that
nilpotent Leibniz algebra... | 0 | 0 | 1 | 0 | 0 | 0 |
RodFIter: Attitude Reconstruction from Inertial Measurement by Functional Iteration | Rigid motion computation or estimation is a cornerstone in numerous fields.
Attitude computation can be achieved by integrating the angular velocity
measured by gyroscopes, the accuracy of which is crucially important for the
dead-reckoning inertial navigation. The state-of-the-art attitude algorithms
have unexceptio... | 1 | 0 | 0 | 0 | 0 | 0 |
Influence Networks in International Relations | Measuring influence and determining what drives it are persistent questions
in political science and in network analysis more generally. Herein we focus on
the domain of international relations. Our major substantive question is: How
can we determine what characteristics make an actor influential? To address the
topi... | 0 | 1 | 0 | 1 | 0 | 0 |
Incorporating Feedback into Tree-based Anomaly Detection | Anomaly detectors are often used to produce a ranked list of statistical
anomalies, which are examined by human analysts in order to extract the actual
anomalies of interest. Unfortunately, in realworld applications, this process
can be exceedingly difficult for the analyst since a large fraction of
high-ranking anom... | 1 | 0 | 0 | 1 | 0 | 0 |
Towards An Adaptive Compliant Aerial Manipulator for Contact-Based Interaction | As roles for unmanned aerial vehicles (UAV) continue to diversify, the
ability to sense and interact closely with the environment becomes increasingly
important. Within this paper we report on the initial flight tests of a novel
adaptive compliant actuator which will allow a UAV to carry out such tasks as
the "pick a... | 1 | 0 | 0 | 0 | 0 | 0 |
On the number of inequivalent Gabidulin codes | Maximum rank-distance (MRD) codes are extremal codes in the space of $m\times
n$ matrices over a finite field, equipped with the rank metric. Up to
generalizations, the classical examples of such codes were constructed in the
1970s and are today known as Gabidulin codes. Motivated by several recent
approaches to cons... | 1 | 0 | 1 | 0 | 0 | 0 |
A Connection Between Mixing and Kac's Chaos | The Boltzmann equation is an integro-differential equation which describes
the density function of the distribution of the velocities of the molecules of
dilute monoatomic gases under the assumption that the energy is only
transferred via collisions between the molecules. In 1956 Kac studied the
Boltzmann equation an... | 0 | 0 | 1 | 0 | 0 | 0 |
The aCORN Backscatter-Suppressed Beta Spectrometer | Backscatter of electrons from a beta spectrometer, with incomplete energy
deposition, can lead to undesirable effects in many types of experiments. We
present and discuss the design and operation of a backscatter-suppressed beta
spectrometer that was developed as part of a program to measure the
electron-antineutrino... | 0 | 1 | 0 | 0 | 0 | 0 |
Deterministic Browser | Timing attacks have been a continuous threat to users' privacy in modern
browsers. To mitigate such attacks, existing approaches, such as Tor Browser
and Fermata, add jitters to the browser clock so that an attacker cannot
accurately measure an event. However, such defenses only raise the bar for an
attacker but do n... | 1 | 0 | 0 | 0 | 0 | 0 |
Can Transfer Entropy Infer Causality in Neuronal Circuits for Cognitive Processing? | Finding the causes to observed effects and establishing causal relationships
between events is (and has been) an essential element of science and
philosophy. Automated methods that can detect causal relationships would be
very welcome, but practical methods that can infer causality are difficult to
find, and the subj... | 1 | 0 | 0 | 0 | 1 | 0 |
Solvability of the Stokes Immersed Boundary Problem in Two Dimensions | We study coupled motion of a 1-D closed elastic string immersed in a 2-D
Stokes flow, known as the Stokes immersed boundary problem in two dimensions.
Using the fundamental solution of the Stokes equation and the Lagrangian
coordinate of the string, we write the problem into a contour dynamic
formulation, which is a ... | 0 | 0 | 1 | 0 | 0 | 0 |
Nonlinear Field Space Cosmology | We consider the FRW cosmological model in which the matter content of
universe (playing a role of inflaton or quintessence) is given by a novel
generalization of the massive scalar field. The latter is a scalar version of
the recently introduced Nonlinear Field Space Theory (NFST), where physical
phase space of a giv... | 0 | 1 | 0 | 0 | 0 | 0 |
Futuristic Classification with Dynamic Reference Frame Strategy | Classification is one of the widely used analytical techniques in data
science domain across different business to associate a pattern which
contribute to the occurrence of certain event which is predicted with some
likelihood. This Paper address a lacuna of creating some time window before the
prediction actually ha... | 0 | 0 | 0 | 1 | 0 | 0 |
On the normal centrosymmetric Nonnegative inverse eigenvalue problem | We give sufficient conditions of the nonnegative inverse eigenvalue problem
(NIEP) for normal centrosymmetric matrices. These sufficient conditions are
analogous to the sufficient conditions of the NIEP for normal matrices given by
Xu [16] and Julio, Manzaneda and Soto [2].
| 0 | 0 | 1 | 0 | 0 | 0 |
Spectral Dynamics of Learning Restricted Boltzmann Machines | The Restricted Boltzmann Machine (RBM), an important tool used in machine
learning in particular for unsupervized learning tasks, is investigated from
the perspective of its spectral properties. Starting from empirical
observations, we propose a generic statistical ensemble for the weight matrix
of the RBM and charac... | 1 | 1 | 0 | 0 | 0 | 0 |
Local energy decay for Lipschitz wavespeeds | We prove a logarithmic local energy decay rate for the wave equation with a
wavespeed that is a compactly supported Lipschitz perturbation of unity. The
key is to establish suitable resolvent estimates at high and low energy for the
meromorphic continuation of the cutoff resolvent. The decay rate is the same as
that ... | 0 | 0 | 1 | 0 | 0 | 0 |
Linear stability and stability of Lazarsfeld-Mukai bundles | Let $C$ be a smooth irreducible projective curve and let $(L,H^0(C,L))$ be a
complete and generated linear series on $C$. Denote by $M_L$ the kernel of the
evaluation map $H^0(C,L)\otimes\mathcal O_C\to L$. The exact sequence $0\to
M_L\to H^0(C,L)\otimes\mathcal O_C\to L\to 0$ fits into a commutative diagram
that we ... | 0 | 0 | 1 | 0 | 0 | 0 |
Bayesian Optimization Using Domain Knowledge on the ATRIAS Biped | Controllers in robotics often consist of expert-designed heuristics, which
can be hard to tune in higher dimensions. It is typical to use simulation to
learn these parameters, but controllers learned in simulation often don't
transfer to hardware. This necessitates optimization directly on hardware.
However, collecti... | 1 | 0 | 0 | 0 | 0 | 0 |
Comparison of multi-task convolutional neural network (MT-CNN) and a few other methods for toxicity prediction | Toxicity analysis and prediction are of paramount importance to human health
and environmental protection. Existing computational methods are built from a
wide variety of descriptors and regressors, which makes their performance
analysis difficult. For example, deep neural network (DNN), a successful
approach in many... | 1 | 0 | 0 | 1 | 0 | 0 |
SIFM: A network architecture for seamless flow mobility between LTE and WiFi networks - Analysis and Testbed Implementation | This paper deals with cellular (e.g. LTE) networks that selectively offload
the mobile data traffic onto WiFi (IEEE 802.11) networks to improve network
performance. We propose the Seamless Internetwork Flow Mobility (SIFM)
architecture that provides seamless flow-mobility support using concepts of
Software Defined Ne... | 1 | 0 | 0 | 0 | 0 | 0 |
Graph sampling with determinantal processes | We present a new random sampling strategy for k-bandlimited signals defined
on graphs, based on determinantal point processes (DPP). For small graphs, ie,
in cases where the spectrum of the graph is accessible, we exhibit a DPP
sampling scheme that enables perfect recovery of bandlimited signals. For large
graphs, ie... | 1 | 0 | 0 | 1 | 0 | 0 |
Grundy dominating sequences and zero forcing sets | In a graph $G$ a sequence $v_1,v_2,\dots,v_m$ of vertices is Grundy
dominating if for all $2\le i \le m$ we have $N[v_i]\not\subseteq
\cup_{j=1}^{i-1}N[v_j]$ and is Grundy total dominating if for all $2\le i \le
m$ we have $N(v_i)\not\subseteq \cup_{j=1}^{i-1}N(v_j)$. The length of the
longest Grundy (total) dominati... | 0 | 0 | 1 | 0 | 0 | 0 |
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