ID int64 1 16.8k | TITLE stringlengths 7 239 | ABSTRACT stringlengths 7 2.59k | Computer Science int64 0 1 | Physics int64 0 1 | Mathematics int64 0 1 | Statistics int64 0 1 | Quantitative Biology int64 0 1 | Quantitative Finance int64 0 1 |
|---|---|---|---|---|---|---|---|---|
201 | Jastrow form of the Ground State Wave Functions for Fractional Quantum Hall States | The topological morphology--order of zeros at the positions of electrons with
respect to a specific electron--of Laughlin state at filling fractions $1/m$
($m$ odd) is homogeneous as every electron feels zeros of order $m$ at the
positions of other electrons. Although fairly accurate ground state wave
functions for m... | 0 | 1 | 0 | 0 | 0 | 0 |
202 | On a common refinement of Stark units and Gross-Stark units | The purpose of this paper is to formulate and study a common refinement of a
version of Stark's conjecture and its $p$-adic analogue, in terms of Fontaine's
$p$-adic period ring and $p$-adic Hodge theory. We construct period-ring-valued
functions under a generalization of Yoshida's conjecture on the transcendental
pa... | 0 | 0 | 1 | 0 | 0 | 0 |
203 | An Integrated Decision and Control Theoretic Solution to Multi-Agent Co-Operative Search Problems | This paper considers the problem of autonomous multi-agent cooperative target
search in an unknown environment using a decentralized framework under a
no-communication scenario. The targets are considered as static targets and the
agents are considered to be homogeneous. The no-communication scenario
translates as th... | 1 | 0 | 0 | 0 | 0 | 0 |
204 | Chain effects of clean water: The Mills-Reincke phenomenon in early twentieth-century Japan | This study explores the validity of chain effects of clean water, which are
known as the "Mills-Reincke phenomenon," in early twentieth-century Japan.
Recent studies have reported that water purifications systems are responsible
for huge contributions to human capital. Although a few studies have
investigated the sho... | 0 | 0 | 0 | 1 | 1 | 0 |
205 | Learning Transferable Architectures for Scalable Image Recognition | Developing neural network image classification models often requires
significant architecture engineering. In this paper, we study a method to learn
the model architectures directly on the dataset of interest. As this approach
is expensive when the dataset is large, we propose to search for an
architectural building ... | 1 | 0 | 0 | 0 | 0 | 0 |
206 | Fast Multi-frame Stereo Scene Flow with Motion Segmentation | We propose a new multi-frame method for efficiently computing scene flow
(dense depth and optical flow) and camera ego-motion for a dynamic scene
observed from a moving stereo camera rig. Our technique also segments out
moving objects from the rigid scene. In our method, we first estimate the
disparity map and the 6-... | 1 | 0 | 0 | 0 | 0 | 0 |
207 | Pointed $p^2q$-dimensional Hopf algebras in positive characteristic | Let $\K$ be an algebraically closed field of positive characteristic $p$. We
mainly classify pointed Hopf algebras over $\K$ of dimension $p^2q$, $pq^2$ and
$pqr$ where $p,q,r$ are distinct prime numbers. We obtain a complete
classification of such Hopf algebras except two subcases when they are not
generated by the ... | 0 | 0 | 1 | 0 | 0 | 0 |
208 | Weak Form of Stokes-Dirac Structures and Geometric Discretization of Port-Hamiltonian Systems | We present the mixed Galerkin discretization of distributed parameter
port-Hamiltonian systems. On the prototypical example of hyperbolic systems of
two conservation laws in arbitrary spatial dimension, we derive the main
contributions: (i) A weak formulation of the underlying geometric
(Stokes-Dirac) structure with ... | 1 | 0 | 0 | 0 | 0 | 0 |
209 | Clamped seismic metamaterials: Ultra-low broad frequency stop-bands | The regularity of earthquakes, their destructive power, and the nuisance of
ground vibration in urban environments, all motivate designs of defence
structures to lessen the impact of seismic and ground vibration waves on
buildings. Low frequency waves, in the range $1$ to $10$ Hz for earthquakes and
up to a few tens ... | 0 | 1 | 0 | 0 | 0 | 0 |
210 | Difference analogue of second main theorems for meromorphic mapping into algebraic variety | In this paper, we prove some difference analogue of second main theorems of
meromorphic mapping from Cm into an algebraic variety V intersecting a finite
set of fixed hypersurfaces in subgeneral position. As an application, we prove
a result on algebraically degenerate of holomorphic curves intersecting
hypersurfaces... | 0 | 0 | 1 | 0 | 0 | 0 |
211 | An Effective Way to Improve YouTube-8M Classification Accuracy in Google Cloud Platform | Large-scale datasets have played a significant role in progress of neural
network and deep learning areas. YouTube-8M is such a benchmark dataset for
general multi-label video classification. It was created from over 7 million
YouTube videos (450,000 hours of video) and includes video labels from a
vocabulary of 4716... | 1 | 0 | 0 | 1 | 0 | 0 |
212 | Experimental Design of a Prescribed Burn Instrumentation | Observational data collected during experiments, such as the planned Fire and
Smoke Model Evaluation Experiment (FASMEE), are critical for progressing and
transitioning coupled fire-atmosphere models like WRF-SFIRE and WRF-SFIRE-CHEM
into operational use. Historical meteorological data, representing typical
weather c... | 0 | 0 | 0 | 1 | 0 | 0 |
213 | Seifert surgery on knots via Reidemeister torsion and Casson-Walker-Lescop invariant III | For a knot $K$ in a homology $3$-sphere $\Sigma$, let $M$ be the result of
$2/q$-surgery on $K$, and let $X$ be the universal abelian covering of $M$. Our
first theorem is that if the first homology of $X$ is finite cyclic and $M$ is
a Seifert fibered space with $N\ge 3$ singular fibers, then $N\ge 4$ if and
only if ... | 0 | 0 | 1 | 0 | 0 | 0 |
214 | Sparse mean localization by information theory | Sparse feature selection is necessary when we fit statistical models, we have
access to a large group of features, don't know which are relevant, but assume
that most are not. Alternatively, when the number of features is larger than
the available data the model becomes over parametrized and the sparse feature
select... | 0 | 0 | 0 | 1 | 0 | 0 |
215 | Joint Power and Admission Control based on Channel Distribution Information: A Novel Two-Timescale Approach | In this letter, we consider the joint power and admission control (JPAC)
problem by assuming that only the channel distribution information (CDI) is
available. Under this assumption, we formulate a new chance (probabilistic)
constrained JPAC problem, where the signal to interference plus noise ratio
(SINR) outage pro... | 1 | 0 | 1 | 0 | 0 | 0 |
216 | A Closer Look at the Alpha Persei Coronal Conundrum | A ROSAT survey of the Alpha Per open cluster in 1993 detected its brightest
star, mid-F supergiant Alpha Persei: the X-ray luminosity and spectral hardness
were similar to coronally active late-type dwarf members. Later, in 2010, a
Hubble Cosmic Origins Spectrograph SNAPshot of Alpha Persei found
far-ultraviolet coro... | 0 | 1 | 0 | 0 | 0 | 0 |
217 | The challenge of realistic music generation: modelling raw audio at scale | Realistic music generation is a challenging task. When building generative
models of music that are learnt from data, typically high-level representations
such as scores or MIDI are used that abstract away the idiosyncrasies of a
particular performance. But these nuances are very important for our perception
of music... | 0 | 0 | 0 | 1 | 0 | 0 |
218 | Interpretations of family size distributions: The Datura example | Young asteroid families are unique sources of information about fragmentation
physics and the structure of their parent bodies, since their physical
properties have not changed much since their birth. Families have different
properties such as age, size, taxonomy, collision severity and others, and
understanding the ... | 0 | 1 | 0 | 0 | 0 | 0 |
219 | Intersections of $ω$ classes in $\overline{\mathcal{M}}_{g,n}$ | We provide a graph formula which describes an arbitrary monomial in {\omega}
classes (also referred to as stable {\psi} classes) in terms of a simple family
of dual graphs (pinwheel graphs) with edges decorated by rational functions in
{\psi} classes. We deduce some numerical consequences and in particular a
combinat... | 0 | 0 | 1 | 0 | 0 | 0 |
220 | GENFIRE: A generalized Fourier iterative reconstruction algorithm for high-resolution 3D imaging | Tomography has made a radical impact on diverse fields ranging from the study
of 3D atomic arrangements in matter to the study of human health in medicine.
Despite its very diverse applications, the core of tomography remains the same,
that is, a mathematical method must be implemented to reconstruct the 3D
structure... | 0 | 1 | 0 | 0 | 0 | 0 |
221 | GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium | Generative Adversarial Networks (GANs) excel at creating realistic images
with complex models for which maximum likelihood is infeasible. However, the
convergence of GAN training has still not been proved. We propose a two
time-scale update rule (TTUR) for training GANs with stochastic gradient
descent on arbitrary G... | 1 | 0 | 0 | 1 | 0 | 0 |
222 | SPIRou Input Catalog: Activity, Rotation and Magnetic Field of Cool Dwarfs | Based on optical high-resolution spectra obtained with CFHT/ESPaDOnS, we
present new measurements of activity and magnetic field proxies of 442 low-mass
K5-M7 dwarfs. The objects were analysed as potential targets to search for
planetary-mass companions with the new spectropolarimeter and high-precision
velocimeter, ... | 0 | 1 | 0 | 0 | 0 | 0 |
223 | Objective Procedure for Reconstructing Couplings in Complex Systems | Inferring directional connectivity from point process data of multiple
elements is desired in various scientific fields such as neuroscience,
geography, economics, etc. Here, we propose an inference procedure for this
goal based on the kinetic Ising model. The procedure is composed of two steps:
(1) determination of ... | 0 | 0 | 0 | 0 | 1 | 0 |
224 | Iteratively-Reweighted Least-Squares Fitting of Support Vector Machines: A Majorization--Minimization Algorithm Approach | Support vector machines (SVMs) are an important tool in modern data analysis.
Traditionally, support vector machines have been fitted via quadratic
programming, either using purpose-built or off-the-shelf algorithms. We present
an alternative approach to SVM fitting via the majorization--minimization (MM)
paradigm. A... | 1 | 0 | 0 | 1 | 0 | 0 |
225 | Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries | Estimating vaccination uptake is an integral part of ensuring public health.
It was recently shown that vaccination uptake can be estimated automatically
from web data, instead of slowly collected clinical records or population
surveys. All prior work in this area assumes that features of vaccination
uptake collected... | 1 | 0 | 0 | 1 | 0 | 0 |
226 | Over Recurrence for Mixing Transformations | We show that every invertible strong mixing transformation on a Lebesgue
space has strictly over-recurrent sets. Also, we give an explicit procedure for
constructing strong mixing transformations with no under-recurrent sets. This
answers both parts of a question of V. Bergelson.
We define $\epsilon$-over-recurrence ... | 0 | 0 | 1 | 0 | 0 | 0 |
227 | Joint Atlas-Mapping of Multiple Histological Series combined with Multimodal MRI of Whole Marmoset Brains | Development of a mesoscale neural circuitry map of the common marmoset is an
essential task due to the ideal characteristics of the marmoset as a model
organism for neuroscience research. To facilitate this development there is a
need for new computational tools to cross-register multi-modal data sets
containing MRI ... | 0 | 0 | 0 | 0 | 1 | 0 |
228 | A Practical Approach for Successive Omniscience | The system that we study in this paper contains a set of users that observe a
discrete memoryless multiple source and communicate via noise-free channels
with the aim of attaining omniscience, the state that all users recover the
entire multiple source. We adopt the concept of successive omniscience (SO),
i.e., letti... | 1 | 0 | 0 | 0 | 0 | 0 |
229 | Scholars on Twitter: who and how many are they? | In this paper we present a novel methodology for identifying scholars with a
Twitter account. By combining bibliometric data from Web of Science and Twitter
users identified by Altmetric.com we have obtained the largest set of
individual scholars matched with Twitter users made so far. Our methodology
consists of a c... | 1 | 0 | 0 | 0 | 0 | 0 |
230 | General notions of regression depth function | As a measure for the centrality of a point in a set of multivariate data,
statistical depth functions play important roles in multivariate analysis,
because one may conveniently construct descriptive as well as inferential
procedures relying on them. Many depth notions have been proposed in the
literature to fit to d... | 0 | 0 | 0 | 1 | 0 | 0 |
231 | Photonic topological pumping through the edges of a dynamical four-dimensional quantum Hall system | When a two-dimensional electron gas is exposed to a perpendicular magnetic
field and an in-plane electric field, its conductance becomes quantized in the
transverse in-plane direction: this is known as the quantum Hall (QH) effect.
This effect is a result of the nontrivial topology of the system's electronic
band str... | 0 | 1 | 0 | 0 | 0 | 0 |
232 | On Scalable Inference with Stochastic Gradient Descent | In many applications involving large dataset or online updating, stochastic
gradient descent (SGD) provides a scalable way to compute parameter estimates
and has gained increasing popularity due to its numerical convenience and
memory efficiency. While the asymptotic properties of SGD-based estimators have
been estab... | 1 | 0 | 0 | 1 | 0 | 0 |
233 | The g-Good-Neighbor Conditional Diagnosability of Locally Twisted Cubes | In the work of Peng et al. in 2012, a new measure was proposed for fault
diagnosis of systems: namely, g-good-neighbor conditional diagnosability, which
requires that any fault-free vertex has at least g fault-free neighbors in the
system. In this paper, we establish the g-good-neighbor conditional
diagnosability of ... | 1 | 0 | 1 | 0 | 0 | 0 |
234 | Coherence for lenses and open games | Categories of polymorphic lenses in computer science, and of open games in
compositional game theory, have a curious structure that is reminiscent of
compact closed categories, but differs in some crucial ways. Specifically they
have a family of morphisms that behave like the counits of a compact closed
category, but... | 1 | 0 | 0 | 0 | 0 | 0 |
235 | Streaming Algorithm for Euler Characteristic Curves of Multidimensional Images | We present an efficient algorithm to compute Euler characteristic curves of
gray scale images of arbitrary dimension. In various applications the Euler
characteristic curve is used as a descriptor of an image.
Our algorithm is the first streaming algorithm for Euler characteristic
curves. The usage of streaming remov... | 1 | 0 | 1 | 0 | 0 | 0 |
236 | An automata group of intermediate growth and exponential activity | We give a new example of an automata group of intermediate growth. It is
generated by an automaton with 4 states on an alphabet with 8 letters. This
automata group has exponential activity and its limit space is not simply
connected.
| 0 | 0 | 1 | 0 | 0 | 0 |
237 | Tuning across the BCS-BEC crossover in the multiband superconductor Fe$_{1+y}$Se$_x$Te$_{1-x}$ : An angle-resolved photoemission study | The crossover from Bardeen-Cooper-Schrieffer (BCS) superconductivity to
Bose-Einstein condensation (BEC) is difficult to realize in quantum materials
because, unlike in ultracold atoms, one cannot tune the pairing interaction. We
realize the BCS-BEC crossover in a nearly compensated semimetal
Fe$_{1+y}$Se$_x$Te$_{1-x... | 0 | 1 | 0 | 0 | 0 | 0 |
238 | GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking | Model compression is essential for serving large deep neural nets on devices
with limited resources or applications that require real-time responses. As a
case study, a state-of-the-art neural language model usually consists of one or
more recurrent layers sandwiched between an embedding layer used for
representing i... | 0 | 0 | 0 | 1 | 0 | 0 |
239 | Morphological characterization of Ge ion implanted SiO2 matrix using multifractal technique | 200 nm thick SiO2 layers grown on Si substrates and Ge ions of 150 keV energy
were implanted into SiO2 matrix with Different fluences. The implanted samples
were annealed at 950 C for 30 minutes in Ar ambience. Topographical studies of
implanted as well as annealed samples were captured by the atomic force
microscopy... | 0 | 1 | 0 | 0 | 0 | 0 |
240 | Preliminary corrosion studies of IN-RAFM steel with stagnant Lead Lithium at 550 C | Corrosion of Indian RAFMS (reduced activation ferritic martensitic steel)
material with liquid metal, Lead Lithium ( Pb-Li) has been studied under static
condition, maintaining Pb-Li at 550 C for different time durations, 2500, 5000
and 9000 hours. Corrosion rate was calculated from weight loss measurements.
Microstr... | 0 | 1 | 0 | 0 | 0 | 0 |
241 | Magnetocapillary self-assemblies: locomotion and micromanipulation along a liquid interface | This paper presents an overview and discussion of magnetocapillary
self-assemblies. New results are presented, in particular concerning the
possible development of future applications. These self-organizing structures
possess the notable ability to move along an interface when powered by an
oscillatory, uniform magne... | 0 | 1 | 0 | 0 | 0 | 0 |
242 | On asymptotically minimax nonparametric detection of signal in Gaussian white noise | For the problem of nonparametric detection of signal in Gaussian white noise
we point out strong asymptotically minimax tests. The sets of alternatives are
a ball in Besov space $B^r_{2\infty}$ with "small" balls in $L_2$ removed.
| 0 | 0 | 1 | 1 | 0 | 0 |
243 | Bayesian Metabolic Flux Analysis reveals intracellular flux couplings | Metabolic flux balance analyses are a standard tool in analysing metabolic
reaction rates compatible with measurements, steady-state and the metabolic
reaction network stoichiometry. Flux analysis methods commonly place
unrealistic assumptions on fluxes due to the convenience of formulating the
problem as a linear pr... | 0 | 0 | 0 | 1 | 0 | 0 |
244 | Robust Estimation of Change-Point Location | We introduce a robust estimator of the location parameter for the
change-point in the mean based on the Wilcoxon statistic and establish its
consistency for $L_1$ near epoch dependent processes. It is shown that the
consistency rate depends on the magnitude of change. A simulation study is
performed to evaluate finit... | 0 | 0 | 1 | 1 | 0 | 0 |
245 | Growing length scale accompanying the vitrification: A perspective based on non-singular density fluctuations | In glass forming liquids close to the glass transition point, even a very
slight increase in the macroscopic density results in a dramatic slowing down
of the macroscopic relaxation. Concomitantly, the local density itself
fluctuates in space. Therefore, one can imagine that even very small local
density variations c... | 0 | 1 | 0 | 0 | 0 | 0 |
246 | Many-Objective Pareto Local Search | We propose a new Pareto Local Search Algorithm for the many-objective
combinatorial optimization. Pareto Local Search proved to be a very effective
tool in the case of the bi-objective combinatorial optimization and it was used
in a number of the state-of-the-art algorithms for problems of this kind. On
the other han... | 1 | 0 | 0 | 0 | 0 | 0 |
247 | From Natural to Artificial Camouflage: Components and Systems | We identify the components of bio-inspired artificial camouflage systems
including actuation, sensing, and distributed computation. After summarizing
recent results in understanding the physiology and system-level performance of
a variety of biological systems, we describe computational algorithms that can
generate s... | 1 | 0 | 0 | 0 | 1 | 0 |
248 | Bayesian nonparametric inference for the M/G/1 queueing systems based on the marked departure process | In the present work we study Bayesian nonparametric inference for the
continuous-time M/G/1 queueing system. In the focus of the study is the
unobservable service time distribution. We assume that the only available data
of the system are the marked departure process of customers with the marks
being the queue length... | 0 | 0 | 1 | 1 | 0 | 0 |
249 | On some polynomials and series of Bloch-Polya Type | We will show that $(1-q)(1-q^2)\dots (1-q^m)$ is a polynomial in $q$ with
coefficients from $\{-1,0,1\}$ iff $m=1,\ 2,\ 3,$ or $5$ and explore some
interesting consequences of this result. We find explicit formulas for the
$q$-series coefficients of $(1-q^2)(1-q^3)(1-q^4)(1-q^5)\dots$ and
$(1-q^3)(1-q^4)(1-q^5)(1-q^6... | 0 | 0 | 1 | 0 | 0 | 0 |
250 | Improvement in the UAV position estimation with low-cost GPS, INS and vision-based system: Application to a quadrotor UAV | In this paper, we develop a position estimation system for Unmanned Aerial
Vehicles formed by hardware and software. It is based on low-cost devices: GPS,
commercial autopilot sensors and dense optical flow algorithm implemented in an
onboard microcomputer. Comparative tests were conducted using our approach and
the ... | 1 | 0 | 0 | 0 | 0 | 0 |
251 | Structured low rank decomposition of multivariate Hankel matrices | We study the decomposition of a multivariate Hankel matrix H\_$\sigma$ as a
sum of Hankel matrices of small rank in correlation with the decomposition of
its symbol $\sigma$ as a sum of polynomial-exponential series. We present a new
algorithm to compute the low rank decomposition of the Hankel operator and the
decom... | 0 | 0 | 1 | 0 | 0 | 0 |
252 | Linear time-periodic dynamical systems: An H2 analysis and a model reduction framework | Linear time-periodic (LTP) dynamical systems frequently appear in the
modeling of phenomena related to fluid dynamics, electronic circuits, and
structural mechanics via linearization centered around known periodic orbits of
nonlinear models. Such LTP systems can reach orders that make repeated
simulation or other nec... | 1 | 0 | 0 | 0 | 0 | 0 |
253 | Software metadata: How much is enough? | Broad efforts are underway to capture metadata about research software and
retain it across services; notable in this regard is the CodeMeta project. What
metadata are important to have about (research) software? What metadata are
useful for searching for codes? What would you like to learn about astronomy
software? ... | 1 | 1 | 0 | 0 | 0 | 0 |
254 | A Categorical Approach for Recognizing Emotional Effects of Music | Recently, digital music libraries have been developed and can be plainly
accessed. Latest research showed that current organization and retrieval of
music tracks based on album information are inefficient. Moreover, they
demonstrated that people use emotion tags for music tracks in order to search
and retrieve them. ... | 1 | 0 | 0 | 1 | 0 | 0 |
255 | Utilizing artificial neural networks to predict demand for weather-sensitive products at retail stores | One key requirement for effective supply chain management is the quality of
its inventory management. Various inventory management methods are typically
employed for different types of products based on their demand patterns,
product attributes, and supply network. In this paper, our goal is to develop
robust demand ... | 1 | 0 | 0 | 1 | 0 | 0 |
256 | Deformable Generator Network: Unsupervised Disentanglement of Appearance and Geometry | We propose a deformable generator model to disentangle the appearance and
geometric information from images into two independent latent vectors. The
appearance generator produces the appearance information, including color,
illumination, identity or category, of an image. The geometric generator
produces displacement... | 0 | 0 | 0 | 1 | 0 | 0 |
257 | Gaussian Kernel in Quantum Paradigm | The Gaussian kernel is a very popular kernel function used in many
machine-learning algorithms, especially in support vector machines (SVM). For
nonlinear training instances in machine learning, it often outperforms
polynomial kernels in model accuracy. We use Gaussian kernel profoundly in
formulating nonlinear class... | 1 | 0 | 0 | 0 | 0 | 0 |
258 | Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems | Security, privacy, and fairness have become critical in the era of data
science and machine learning. More and more we see that achieving universally
secure, private, and fair systems is practically impossible. We have seen for
example how generative adversarial networks can be used to learn about the
expected privat... | 1 | 0 | 0 | 1 | 0 | 0 |
259 | Performance of Energy Harvesting Receivers with Power Optimization | The difficulty of modeling energy consumption in communication systems leads
to challenges in energy harvesting (EH) systems, in which nodes scavenge energy
from their environment. An EH receiver must harvest enough energy for
demodulating and decoding. The energy required depends upon factors, like code
rate and sig... | 1 | 0 | 0 | 0 | 0 | 0 |
260 | On Convergence Rate of a Continuous-Time Distributed Self-Appraisal Model with Time-Varying Relative Interaction Matrices | This paper studies a recently proposed continuous-time distributed
self-appraisal model with time-varying interactions among a network of $n$
individuals which are characterized by a sequence of time-varying relative
interaction matrices. The model describes the evolution of the
social-confidence levels of the indivi... | 0 | 0 | 1 | 0 | 0 | 0 |
261 | Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration | When the brain receives input from multiple sensory systems, it is faced with
the question of whether it is appropriate to process the inputs in combination,
as if they originated from the same event, or separately, as if they originated
from distinct events. Furthermore, it must also have a mechanism through which
i... | 0 | 0 | 0 | 0 | 1 | 0 |
262 | Block CUR: Decomposing Matrices using Groups of Columns | A common problem in large-scale data analysis is to approximate a matrix
using a combination of specifically sampled rows and columns, known as CUR
decomposition. Unfortunately, in many real-world environments, the ability to
sample specific individual rows or columns of the matrix is limited by either
system constra... | 1 | 0 | 0 | 1 | 0 | 0 |
263 | Synchronous Observation on the Spontaneous Transformation of Liquid Metal under Free Falling Microgravity Situation | The unusually high surface tension of room temperature liquid metal is
molding it as unique material for diverse newly emerging areas. However, unlike
its practices on earth, such metal fluid would display very different behaviors
when working in space where gravity disappears and surface property dominates
the major... | 0 | 1 | 0 | 0 | 0 | 0 |
264 | Continuously tempered Hamiltonian Monte Carlo | Hamiltonian Monte Carlo (HMC) is a powerful Markov chain Monte Carlo (MCMC)
method for performing approximate inference in complex probabilistic models of
continuous variables. In common with many MCMC methods, however, the standard
HMC approach performs poorly in distributions with multiple isolated modes. We
presen... | 0 | 0 | 0 | 1 | 0 | 0 |
265 | Automated Synthesis of Safe Digital Controllers for Sampled-Data Stochastic Nonlinear Systems | We present a new method for the automated synthesis of digital controllers
with formal safety guarantees for systems with nonlinear dynamics, noisy output
measurements, and stochastic disturbances. Our method derives digital
controllers such that the corresponding closed-loop system, modeled as a
sampled-data stochas... | 1 | 0 | 0 | 0 | 0 | 0 |
266 | Magnus integrators on multicore CPUs and GPUs | In the present paper we consider numerical methods to solve the discrete
Schrödinger equation with a time dependent Hamiltonian (motivated by problems
encountered in the study of spin systems). We will consider both short-range
interactions, which lead to evolution equations involving sparse matrices, and
long-range ... | 1 | 1 | 0 | 0 | 0 | 0 |
267 | High Dimensional Estimation and Multi-Factor Models | This paper re-investigates the estimation of multiple factor models relaxing
the convention that the number of factors is small and using a new approach for
identifying factors. We first obtain the collection of all possible factors and
then provide a simultaneous test, security by security, of which factors are
sign... | 0 | 0 | 0 | 1 | 0 | 1 |
268 | Scaling Law for Three-body Collisions in Identical Fermions with $p$-wave Interactions | We experimentally confirmed the threshold behavior and scattering length
scaling law of the three-body loss coefficients in an ultracold spin-polarized
gas of $^6$Li atoms near a $p$-wave Feshbach resonance. We measured the
three-body loss coefficients as functions of temperature and scattering volume,
and found that... | 0 | 1 | 0 | 0 | 0 | 0 |
269 | An Expanded Local Variance Gamma model | The paper proposes an expanded version of the Local Variance Gamma model of
Carr and Nadtochiy by adding drift to the governing underlying process. Still
in this new model it is possible to derive an ordinary differential equation
for the option price which plays a role of Dupire's equation for the standard
local vol... | 0 | 0 | 0 | 0 | 0 | 1 |
270 | An attentive neural architecture for joint segmentation and parsing and its application to real estate ads | In processing human produced text using natural language processing (NLP)
techniques, two fundamental subtasks that arise are (i) segmentation of the
plain text into meaningful subunits (e.g., entities), and (ii) dependency
parsing, to establish relations between subunits. In this paper, we develop a
relatively simpl... | 1 | 0 | 0 | 0 | 0 | 0 |
271 | Multilevel maximum likelihood estimation with application to covariance matrices | The asymptotic variance of the maximum likelihood estimate is proved to
decrease when the maximization is restricted to a subspace that contains the
true parameter value. Maximum likelihood estimation allows a systematic fitting
of covariance models to the sample, which is important in data assimilation.
The hierarch... | 0 | 0 | 1 | 1 | 0 | 0 |
272 | Auto-Meta: Automated Gradient Based Meta Learner Search | Fully automating machine learning pipelines is one of the key challenges of
current artificial intelligence research, since practical machine learning
often requires costly and time-consuming human-powered processes such as model
design, algorithm development, and hyperparameter tuning. In this paper, we
verify that ... | 0 | 0 | 0 | 1 | 0 | 0 |
273 | Convergence of the Forward-Backward Algorithm: Beyond the Worst Case with the Help of Geometry | We provide a comprehensive study of the convergence of forward-backward
algorithm under suitable geometric conditions leading to fast rates. We present
several new results and collect in a unified view a variety of results
scattered in the literature, often providing simplified proofs. Novel
contributions include the... | 0 | 0 | 1 | 1 | 0 | 0 |
274 | Calibration-Free Relaxation-Based Multi-Color Magnetic Particle Imaging | Magnetic Particle Imaging (MPI) is a novel imaging modality with important
applications such as angiography, stem cell tracking, and cancer imaging.
Recently, there have been efforts to increase the functionality of MPI via
multi-color imaging methods that can distinguish the responses of different
nanoparticles, or ... | 0 | 1 | 0 | 0 | 0 | 0 |
275 | Neural Machine Translation | Draft of textbook chapter on neural machine translation. a comprehensive
treatment of the topic, ranging from introduction to neural networks,
computation graphs, description of the currently dominant attentional
sequence-to-sequence model, recent refinements, alternative architectures and
challenges. Written as chap... | 1 | 0 | 0 | 0 | 0 | 0 |
276 | On algebraically integrable domains in Euclidean spaces | Let $D$ be a bounded domain $D$ in $\mathbb R^n $ with infinitely smooth
boundary and $n$ is odd. We prove that if the volume cut off from the domain by
a hyperplane is an algebraic function of the hyperplane, free of real singular
points, then the domain is an ellipsoid. This partially answers a question of
V.I. Arn... | 0 | 0 | 1 | 0 | 0 | 0 |
277 | Vocabulary-informed Extreme Value Learning | The novel unseen classes can be formulated as the extreme values of known
classes. This inspired the recent works on open-set recognition
\cite{Scheirer_2013_TPAMI,Scheirer_2014_TPAMIb,EVM}, which however can have no
way of naming the novel unseen classes. To solve this problem, we propose the
Extreme Value Learning ... | 1 | 0 | 1 | 1 | 0 | 0 |
278 | Cross-layer optimized routing with low duty cycle TDMA across multiple wireless body area networks | In this paper, we study the performance of two cross-layer optimized dynamic
routing techniques for radio interference mitigation across multiple coexisting
wireless body area networks (BANs), based on real-life measurements. At the
network layer, the best route is selected according to channel state
information from... | 1 | 0 | 0 | 0 | 0 | 0 |
279 | A Team-Formation Algorithm for Faultline Minimization | In recent years, the proliferation of online resumes and the need to evaluate
large populations of candidates for on-site and virtual teams have led to a
growing interest in automated team-formation. Given a large pool of candidates,
the general problem requires the selection of a team of experts to complete a
given ... | 1 | 0 | 0 | 0 | 0 | 0 |
280 | A Survey of Model Compression and Acceleration for Deep Neural Networks | Deep convolutional neural networks (CNNs) have recently achieved great
success in many visual recognition tasks. However, existing deep neural network
models are computationally expensive and memory intensive, hindering their
deployment in devices with low memory resources or in applications with strict
latency requi... | 1 | 0 | 0 | 0 | 0 | 0 |
281 | Non-Parametric Calibration of Probabilistic Regression | The task of calibration is to retrospectively adjust the outputs from a
machine learning model to provide better probability estimates on the target
variable. While calibration has been investigated thoroughly in classification,
it has not yet been well-established for regression tasks. This paper considers
the probl... | 0 | 0 | 0 | 1 | 0 | 0 |
282 | Cyclotron resonant scattering feature simulations. II. Description of the CRSF simulation process | Cyclotron resonant scattering features (CRSFs) are formed by scattering of
X-ray photons off quantized plasma electrons in the strong magnetic field (of
the order 10^12 G) close to the surface of an accreting X-ray pulsar. The line
profiles of CRSFs cannot be described by an analytic expression. Numerical
methods suc... | 0 | 1 | 0 | 0 | 0 | 0 |
283 | New quantum mds constacylıc codes | This paper is devoted to the study of the construction of new quantum MDS
codes. Based on constacyclic codes over Fq2 , we derive four new families of
quantum MDS codes, one of which is an explicit generalization of the
construction given in Theorem 7 in [22]. We also extend the result of Theorem
3:3 given in [17].
| 1 | 0 | 0 | 0 | 0 | 0 |
284 | Infinitary first-order categorical logic | We present a unified categorical treatment of completeness theorems for
several classical and intuitionistic infinitary logics with a proposed
axiomatization. This provides new completeness theorems and subsumes previous
ones by Gödel, Kripke, Beth, Karp, Joyal, Makkai and Fourman/Grayson. As an
application we prove,... | 0 | 0 | 1 | 0 | 0 | 0 |
285 | Stochastic Gradient Monomial Gamma Sampler | Recent advances in stochastic gradient techniques have made it possible to
estimate posterior distributions from large datasets via Markov Chain Monte
Carlo (MCMC). However, when the target posterior is multimodal, mixing
performance is often poor. This results in inadequate exploration of the
posterior distribution.... | 1 | 0 | 0 | 1 | 0 | 0 |
286 | Gini estimation under infinite variance | We study the problems related to the estimation of the Gini index in presence
of a fat-tailed data generating process, i.e. one in the stable distribution
class with finite mean but infinite variance (i.e. with tail index
$\alpha\in(1,2)$). We show that, in such a case, the Gini coefficient cannot be
reliably estimat... | 0 | 0 | 0 | 1 | 0 | 0 |
287 | Training Neural Networks Using Features Replay | Training a neural network using backpropagation algorithm requires passing
error gradients sequentially through the network. The backward locking prevents
us from updating network layers in parallel and fully leveraging the computing
resources. Recently, there are several works trying to decouple and parallelize
the ... | 0 | 0 | 0 | 1 | 0 | 0 |
288 | The anti-spherical category | We study a diagrammatic categorification (the "anti-spherical category") of
the anti-spherical module for any Coxeter group. We deduce that Deodhar's
(sign) parabolic Kazhdan-Lusztig polynomials have non-negative coefficients,
and that a monotonicity conjecture of Brenti's holds. The main technical
observation is a l... | 0 | 0 | 1 | 0 | 0 | 0 |
289 | Trajectories and orbital angular momentum of necklace beams in nonlinear colloidal suspensions | Recently, we have predicted that the modulation instability of optical vortex
solitons propagating in nonlinear colloidal suspensions with exponential
saturable nonlinearity leads to formation of necklace beams (NBs)
[S.~Z.~Silahli, W.~Walasik and N.~M.~Litchinitser, Opt.~Lett., \textbf{40},
5714 (2015)]. Here, we in... | 0 | 1 | 0 | 0 | 0 | 0 |
290 | Unified Treatment of Spin Torques using a Coupled Magnetisation Dynamics and Three-Dimensional Spin Current Solver | A three-dimensional spin current solver based on a generalised spin
drift-diffusion description, including the spin Hall effect, is integrated with
a magnetisation dynamics solver. The resulting model is shown to simultaneously
reproduce the spin-orbit torques generated using the spin Hall effect, spin
pumping torque... | 0 | 1 | 0 | 0 | 0 | 0 |
291 | A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization | This paper aims to explore models based on the extreme gradient boosting
(XGBoost) approach for business risk classification. Feature selection (FS)
algorithms and hyper-parameter optimizations are simultaneously considered
during model training. The five most commonly used FS methods including weight
by Gini, weight... | 1 | 0 | 0 | 1 | 0 | 0 |
292 | Rheology of High-Capillary Number Flow in Porous Media | Immiscible fluids flowing at high capillary numbers in porous media may be
characterized by an effective viscosity. We demonstrate that the effective
viscosity is well described by the Lichtenecker-Rother equation. The exponent
$\alpha$ in this equation takes either the value 1 or 0.6 in two- and 0.5 in
three-dimensi... | 0 | 1 | 0 | 0 | 0 | 0 |
293 | Quantum Charge Pumps with Topological Phases in Creutz Ladder | Quantum charge pumping phenomenon connects band topology through the dynamics
of a one-dimensional quantum system. In terms of a microscopic model, the
Su-Schrieffer-Heeger/Rice-Mele quantum pump continues to serve as a fruitful
starting point for many considerations of topological physics. Here we present
a generali... | 0 | 1 | 0 | 0 | 0 | 0 |
294 | On Deep Neural Networks for Detecting Heart Disease | Heart disease is the leading cause of death, and experts estimate that
approximately half of all heart attacks and strokes occur in people who have
not been flagged as "at risk." Thus, there is an urgent need to improve the
accuracy of heart disease diagnosis. To this end, we investigate the potential
of using data a... | 1 | 0 | 0 | 1 | 0 | 0 |
295 | Exponential Stability Analysis via Integral Quadratic Constraints | The theory of integral quadratic constraints (IQCs) allows verification of
stability and gain-bound properties of systems containing nonlinear or
uncertain elements. Gain bounds often imply exponential stability, but it can
be challenging to compute useful numerical bounds on the exponential decay
rate. This work pre... | 1 | 0 | 1 | 0 | 0 | 0 |
296 | Fermi acceleration of electrons inside foreshock transient cores | Foreshock transients upstream of Earth's bow shock have been recently
observed to accelerate electrons to many times their thermal energy. How such
acceleration occurs is unknown, however. Using THEMIS case studies, we examine
a subset of acceleration events (31 of 247 events) in foreshock transients with
cores that ... | 0 | 1 | 0 | 0 | 0 | 0 |
297 | Quantum Speed Limit is Not Quantum | The quantum speed limit (QSL), or the energy-time uncertainty relation,
describes the fundamental maximum rate for quantum time evolution and has been
regarded as being unique in quantum mechanics. In this study, we obtain a
classical speed limit corresponding to the QSL using the Hilbert space for the
classical Liou... | 0 | 1 | 0 | 0 | 0 | 0 |
298 | Adaptive Diffusion Processes of Time-Varying Local Information on Networks | This paper mainly discusses the diffusion on complex networks with
time-varying couplings. We propose a model to describe the adaptive diffusion
process of local topological and dynamical information, and find that the
Barabasi-Albert scale-free network (BA network) is beneficial to the diffusion
and leads nodes to a... | 1 | 0 | 0 | 0 | 0 | 0 |
299 | ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder | This paper proposes a non-parallel many-to-many voice conversion (VC) method
using a variant of the conditional variational autoencoder (VAE) called an
auxiliary classifier VAE (ACVAE). The proposed method has three key features.
First, it adopts fully convolutional architectures to construct the encoder and
decoder ... | 1 | 0 | 0 | 1 | 0 | 0 |
300 | Spectral analysis of jet turbulence | Informed by LES data and resolvent analysis of the mean flow, we examine the
structure of turbulence in jets in the subsonic, transonic, and supersonic
regimes. Spectral (frequency-space) proper orthogonal decomposition is used to
extract energy spectra and decompose the flow into energy-ranked coherent
structures. T... | 0 | 1 | 0 | 0 | 0 | 0 |
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