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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QuanFuzz: Fuzz Testing of Quantum Program | Nowadays, quantum program is widely used and quickly developed. However, the
absence of testing methodology restricts their quality. Different input format
and operator from traditional program make this issue hard to resolve.
In this paper, we present QuanFuzz, a search-based test input generator for
quantum program... | 1 | 0 | 0 | 0 | 0 | 0 |
Option Pricing Models Driven by the Space-Time Fractional Diffusion: Series Representation and Applications | In this paper, we focus on option pricing models based on space-time
fractional diffusion. We briefly revise recent results which show that the
option price can be represented in the terms of rapidly converging
double-series and apply these results to the data from real markets. We focus
on estimation of model parame... | 0 | 0 | 0 | 0 | 0 | 1 |
Anticipation: an effective evolutionary strategy for a sub-optimal population in a cyclic environment | We built a two-state model of an asexually reproducing organism in a periodic
environment endowed with the capability to anticipate an upcoming environmental
change and undergo pre-emptive switching. By virtue of these anticipatory
transitions, the organism oscillates between its two states that is a time
$\theta$ ou... | 0 | 0 | 0 | 0 | 1 | 0 |
Unravelling Airbnb Predicting Price for New Listing | This paper analyzes Airbnb listings in the city of San Francisco to better
understand how different attributes such as bedrooms, location, house type
amongst others can be used to accurately predict the price of a new listing
that optimal in terms of the host's profitability yet affordable to their
guests. This model... | 0 | 0 | 0 | 0 | 0 | 1 |
Finding, Hitting and Packing Cycles in Subexponential Time on Unit Disk Graphs | We give algorithms with running time $2^{O({\sqrt{k}\log{k}})} \cdot
n^{O(1)}$ for the following problems. Given an $n$-vertex unit disk graph $G$
and an integer $k$, decide whether $G$ contains (1) a path on exactly/at least
$k$ vertices, (2) a cycle on exactly $k$ vertices, (3) a cycle on at least $k$
vertices, (4)... | 1 | 0 | 0 | 0 | 0 | 0 |
The self-referring DNA and protein: a remark on physical and geometrical aspects | All known life forms are based upon a hierarchy of interwoven feedback loops,
operating over a cascade of space, time and energy scales. Among the most basic
loops are those connecting DNA and proteins. For example, in genetic networks,
DNA genes are expressed as proteins, which may bind near the same genes and
there... | 0 | 0 | 0 | 0 | 1 | 0 |
Optimal input design for system identification using spectral decomposition | The aim of this paper is to design a band-limited optimal input with power
constraints for identifying a linear multi-input multi-output system. It is
assumed that the nominal system parameters are specified. The key idea is to
use the spectral decomposition theorem and write the power spectrum as
$\phi_{u}(j\omega)=... | 1 | 0 | 1 | 0 | 0 | 0 |
Creating a Web Analysis and Visualization Environment | Due to the rapid growth of the World Wide Web, resource discovery becomes an
increasing problem. As an answer to the demand for information management, a
third generation of World-Wide Web tools will evolve: information gathering and
processing agents. This paper describes WAVE (Web Analysis and Visualization
Environ... | 1 | 0 | 0 | 0 | 0 | 0 |
Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners | Supervised learning has been very successful for automatic segmentation of
images from a single scanner. However, several papers report deteriorated
performances when using classifiers trained on images from one scanner to
segment images from other scanners. We propose a transfer learning classifier
that adapts to di... | 1 | 0 | 0 | 1 | 0 | 0 |
Service Providers of the Sharing Economy: Who Joins and Who Benefits? | Many "sharing economy" platforms, such as Uber and Airbnb, have become
increasingly popular, providing consumers with more choices and suppliers a
chance to make profit. They, however, have also brought about emerging issues
regarding regulation, tax obligation, and impact on urban environment, and have
generated hea... | 1 | 0 | 0 | 0 | 0 | 0 |
The generalized Fermat equation with exponents 2, 3, n | We study the Generalized Fermat Equation $x^2 + y^3 = z^p$, to be solved in
coprime integers, where $p \ge 7$ is prime. Using modularity and level lowering
techniques, the problem can be reduced to the determination of the sets of
rational points satisfying certain 2-adic and 3-adic conditions on a finite set
of twis... | 0 | 0 | 1 | 0 | 0 | 0 |
On the image of the almost strict Morse n-category under almost strict n-functors | In an earlier work, we constructed the almost strict Morse $n$-category
$\mathcal X$ which extends Cohen $\&$ Jones $\&$ Segal's flow category. In this
article, we define two other almost strict $n$-categories $\mathcal V$ and
$\mathcal W$ where $\mathcal V$ is based on homomorphisms between real vector
spaces and $\... | 0 | 0 | 1 | 0 | 0 | 0 |
Short-term Memory of Deep RNN | The extension of deep learning towards temporal data processing is gaining an
increasing research interest. In this paper we investigate the properties of
state dynamics developed in successive levels of deep recurrent neural networks
(RNNs) in terms of short-term memory abilities. Our results reveal interesting
insi... | 0 | 0 | 0 | 1 | 0 | 0 |
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge | We consider the use of Deep Learning methods for modeling complex phenomena
like those occurring in natural physical processes. With the large amount of
data gathered on these phenomena the data intensive paradigm could begin to
challenge more traditional approaches elaborated over the years in fields like
maths or p... | 1 | 0 | 0 | 1 | 0 | 0 |
Neutron Stars in Screened Modified Gravity: Chameleon vs Dilaton | We consider the scalar field profile around relativistic compact objects such
as neutron stars for a range of modified gravity models with screening
mechanisms of the chameleon and Damour-Polyakov types. We focus primarily on
inverse power law chameleons and the environmentally dependent dilaton as
examples of both m... | 0 | 1 | 0 | 0 | 0 | 0 |
Spin pumping into superconductors: A new probe of spin dynamics in a superconducting thin film | Spin pumping refers to the microwave-driven spin current injection from a
ferromagnet into the adjacent target material. We theoretically investigate the
spin pumping into superconductors by fully taking account of impurity
spin-orbit scattering that is indispensable to describe diffusive spin
transport with finite s... | 0 | 1 | 0 | 0 | 0 | 0 |
Evidence of Eta Aquariid Outbursts Recorded in the Classic Maya Hieroglyphic Script Using Orbital Integrations | No firm evidence has existed that the ancient Maya civilization recorded
specific occurrences of meteor showers or outbursts in the corpus of Maya
hieroglyphic inscriptions. In fact, there has been no evidence of any
pre-Hispanic civilization in the Western Hemisphere recording any observations
of any meteor showers ... | 0 | 1 | 0 | 0 | 0 | 0 |
Degenerations of NURBS curves while all of weights approaching infinity | NURBS curve is widely used in Computer Aided Design and Computer Aided
Geometric Design. When a single weight approaches infinity, the limit of a
NURBS curve tends to the corresponding control point. In this paper, a kind of
control structure of a NURBS curve, called regular control curve, is defined.
We prove that t... | 1 | 0 | 0 | 0 | 0 | 0 |
A Convex Parametrization of a New Class of Universal Kernel Functions for use in Kernel Learning | We propose a new class of universal kernel functions which admit a linear
parametrization using positive semidefinite matrices. These kernels are
generalizations of the Sobolev kernel and are defined by piecewise-polynomial
functions. The class of kernels is termed "tessellated" as the resulting
discriminant is defin... | 1 | 0 | 0 | 1 | 0 | 0 |
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries | Large batch size training of Neural Networks has been shown to incur accuracy
loss when trained with the current methods. The exact underlying reasons for
this are still not completely understood. Here, we study large batch size
training through the lens of the Hessian operator and robust optimization. In
particular,... | 0 | 0 | 0 | 1 | 0 | 0 |
Sparse-Group Bayesian Feature Selection Using Expectation Propagation for Signal Recovery and Network Reconstruction | We present a Bayesian method for feature selection in the presence of
grouping information with sparsity on the between- and within group level.
Instead of using a stochastic algorithm for parameter inference, we employ
expectation propagation, which is a deterministic and fast algorithm. Available
methods for featur... | 0 | 0 | 0 | 1 | 0 | 0 |
A Simple, Fast and Fully Automated Approach for Midline Shift Measurement on Brain Computed Tomography | Brain CT has become a standard imaging tool for emergent evaluation of brain
condition, and measurement of midline shift (MLS) is one of the most important
features to address for brain CT assessment. We present a simple method to
estimate MLS and propose a new alternative parameter to MLS: the ratio of MLS
over the ... | 1 | 1 | 0 | 0 | 0 | 0 |
Anisotropic Dielectric Relaxation in Single Crystal H$_{2}$O Ice Ih from 80-250 K | Three properties of the dielectric relaxation in ultra-pure single
crystalline H$_{2}$O ice Ih were probed at temperatures between 80-250 K; the
thermally stimulated depolarization current, static electrical conductivity,
and dielectric relaxation time. The measurements were made with a guarded
parallel-plate capacit... | 0 | 1 | 0 | 0 | 0 | 0 |
Design of Improved Quasi-Cyclic Protograph-Based Raptor-Like LDPC Codes for Short Block-Lengths | Protograph-based Raptor-like low-density parity-check codes (PBRL codes) are
a recently proposed family of easily encodable and decodable rate-compatible
LDPC (RC-LDPC) codes. These codes have an excellent iterative decoding
threshold and performance across all design rates. PBRL codes designed thus
far, for both lon... | 1 | 0 | 0 | 0 | 0 | 0 |
Comparing the Finite-Time Performance of Simulation-Optimization Algorithms | We empirically evaluate the finite-time performance of several
simulation-optimization algorithms on a testbed of problems with the goal of
motivating further development of algorithms with strong finite-time
performance. We investigate if the observed performance of the algorithms can
be explained by properties of t... | 0 | 0 | 1 | 1 | 0 | 0 |
On the Constituent Attributes of Software and Organisational Resilience | Our societies are increasingly dependent on services supplied by computers &
their software. New technology only exacerbates this dependence by increasing
the number, performance, and degree of autonomy and inter-connectivity of
software-empowered computers and cyber-physical "things", which translates into
unprecede... | 1 | 0 | 0 | 0 | 0 | 0 |
Borcherds-Bozec algebras, root multiplicities and the Schofield construction | Using the twisted denominator identity, we derive a closed form root
multiplicity formula for all symmetrizable Borcherds-Bozec algebras and discuss
its applications including the case of Monster Borcherds-Bozec algebra. In the
second half of the paper, we provide the Schofield constuction of symmetric
Borcherds-Boze... | 0 | 0 | 1 | 0 | 0 | 0 |
Pressure-induced spin pairing transition of Fe$^{3+}$ in oxygen octahedra | High pressure can provoke spin transitions in transition metal-bearing
compounds. These transitions are of high interest not only for fundamental
physics and chemistry, but also may have important implications for
geochemistry and geophysics of the Earth and planetary interiors. Here we have
carried out a comparative... | 0 | 1 | 0 | 0 | 0 | 0 |
LSH on the Hypercube Revisited | LSH (locality sensitive hashing) had emerged as a powerful technique in
nearest-neighbor search in high dimensions [IM98, HIM12]. Given a point set $P$
in a metric space, and given parameters $r$ and $\varepsilon > 0$, the task is
to preprocess the point set, such that given a query point $q$, one can quickly
decide ... | 1 | 0 | 0 | 0 | 0 | 0 |
A Novel Metamaterial-Inspired RF-coil for Preclinical Dual-Nuclei MRI | In this paper we propose, design and test a new dual-nuclei RF-coil inspired
by wire metamaterial structures. The coil operates due to resonant excitation
of hybridized eigenmodes in multimode flat periodic structures comprising
several coupled thin metal strips. It was shown that the field distribution of
the coil (... | 0 | 1 | 0 | 0 | 0 | 0 |
A biofilm and organomineralisation model for the growth and limiting size of ooids | Ooids are typically spherical sediment grains characterised by concentric
layers encapsulating a core. There is no universally accepted explanation for
ooid genesis, though factors such as agitation, abiotic and/or microbial
mineralisation and size limitation have been variously invoked. We develop a
mathematical mod... | 0 | 1 | 0 | 0 | 0 | 0 |
Spectral Filtering for General Linear Dynamical Systems | We give a polynomial-time algorithm for learning latent-state linear
dynamical systems without system identification, and without assumptions on the
spectral radius of the system's transition matrix. The algorithm extends the
recently introduced technique of spectral filtering, previously applied only to
systems with... | 0 | 0 | 0 | 1 | 0 | 0 |
Markov $L_2$-inequality with the Laguerre weight | Let $w_\alpha(t) := t^{\alpha}\,e^{-t}$, where $\alpha > -1$, be the Laguerre
weight function, and let $\|\cdot\|_{w_\alpha}$ be the associated $L_2$-norm,
$$ \|f\|_{w_\alpha} = \left\{\int_{0}^{\infty} |f(x)|^2
w_\alpha(x)\,dx\right\}^{1/2}\,. $$ By $\mathcal{P}_n$ we denote the set of
algebraic polynomials of degre... | 0 | 0 | 1 | 0 | 0 | 0 |
Intrusion Prevention and Detection in Grid Computing - The ALICE Case | Grids allow users flexible on-demand usage of computing resources through
remote communication networks. A remarkable example of a Grid in High Energy
Physics (HEP) research is used in the ALICE experiment at European Organization
for Nuclear Research CERN. Physicists can submit jobs used to process the huge
amount o... | 1 | 0 | 0 | 0 | 0 | 0 |
Evolution-Preserving Dense Trajectory Descriptors | Recently Trajectory-pooled Deep-learning Descriptors were shown to achieve
state-of-the-art human action recognition results on a number of datasets. This
paper improves their performance by applying rank pooling to each trajectory,
encoding the temporal evolution of deep learning features computed along the
trajecto... | 1 | 0 | 0 | 0 | 0 | 0 |
Multilingual and Cross-lingual Timeline Extraction | In this paper we present an approach to extract ordered timelines of events,
their participants, locations and times from a set of multilingual and
cross-lingual data sources. Based on the assumption that event-related
information can be recovered from different documents written in different
languages, we extend the... | 1 | 0 | 0 | 0 | 0 | 0 |
Mixture modeling on related samples by $ψ$-stick breaking and kernel perturbation | There has been great interest recently in applying nonparametric kernel
mixtures in a hierarchical manner to model multiple related data samples
jointly. In such settings several data features are commonly present: (i) the
related samples often share some, if not all, of the mixture components but
with differing weig... | 0 | 0 | 0 | 1 | 0 | 0 |
Optimal segmentation of directed graph and the minimum number of feedback arcs | The minimum feedback arc set problem asks to delete a minimum number of arcs
(directed edges) from a digraph (directed graph) to make it free of any
directed cycles. In this work we approach this fundamental cycle-constrained
optimization problem by considering a generalized task of dividing the digraph
into D layers... | 1 | 1 | 0 | 0 | 0 | 0 |
Ensemble of Neural Classifiers for Scoring Knowledge Base Triples | This paper describes our approach for the triple scoring task at the WSDM Cup
2017. The task required participants to assign a relevance score for each pair
of entities and their types in a knowledge base in order to enhance the ranking
results in entity retrieval tasks. We propose an approach wherein the outputs
of ... | 1 | 0 | 0 | 0 | 0 | 0 |
A Game-Theoretic Data-Driven Approach for Pseudo-Measurement Generation in Distribution System State Estimation | In this paper, we present an efficient computational framework with the
purpose of generating weighted pseudo-measurements to improve the quality of
Distribution System State Estimation (DSSE) and provide observability with
Advanced Metering Infrastructure (AMI) against unobservable customers and
missing data. The pr... | 1 | 0 | 0 | 0 | 0 | 0 |
Nonsparse learning with latent variables | As a popular tool for producing meaningful and interpretable models,
large-scale sparse learning works efficiently when the underlying structures
are indeed or close to sparse. However, naively applying the existing
regularization methods can result in misleading outcomes due to model
misspecification. In particular,... | 0 | 0 | 1 | 1 | 0 | 0 |
The Role of Network Analysis in Industrial and Applied Mathematics | Many problems in industry --- and in the social, natural, information, and
medical sciences --- involve discrete data and benefit from approaches from
subjects such as network science, information theory, optimization,
probability, and statistics. The study of networks is concerned explicitly with
connectivity betwee... | 1 | 1 | 0 | 0 | 0 | 0 |
Automated Detection, Exploitation, and Elimination of Double-Fetch Bugs using Modern CPU Features | Double-fetch bugs are a special type of race condition, where an unprivileged
execution thread is able to change a memory location between the time-of-check
and time-of-use of a privileged execution thread. If an unprivileged attacker
changes the value at the right time, the privileged operation becomes
inconsistent,... | 1 | 0 | 0 | 0 | 0 | 0 |
Fano resonances and fluorescence enhancement of a dipole emitter near a plasmonic nanoshell | We analytically study the spontaneous emission of a single optical dipole
emitter in the vicinity of a plasmonic nanoshell, based on the Lorenz-Mie
theory. We show that the fluorescence enhancement due to the coupling between
optical emitter and sphere can be tuned by the aspect ratio of the core-shell
nanosphere and... | 0 | 1 | 0 | 0 | 0 | 0 |
Unoriented Spectral Triples | Any oriented Riemannian manifold with a Spin-structure defines a spectral
triple, so the spectral triple can be regarded as a noncommutative
Spin-manifold. Otherwise for any unoriented Riemannian manifold there is the
two-fold covering by oriented Riemannian manifold. Moreover there are
noncommutative generalizations... | 0 | 0 | 1 | 0 | 0 | 0 |
Gradient-enhanced kriging for high-dimensional problems | Surrogate models provide a low computational cost alternative to evaluating
expensive functions. The construction of accurate surrogate models with large
numbers of independent variables is currently prohibitive because it requires a
large number of function evaluations. Gradient-enhanced kriging has the
potential to... | 1 | 0 | 0 | 1 | 0 | 0 |
Contagion dynamics of extremist propaganda in social networks | Recent terrorist attacks carried out on behalf of ISIS on American and
European soil by lone wolf attackers or sleeper cells remind us of the
importance of understanding the dynamics of radicalization mediated by social
media communication channels. In this paper, we shed light on the social media
activity of a group... | 1 | 1 | 0 | 0 | 0 | 0 |
Estimate exponential memory decay in Hidden Markov Model and its applications | Inference in hidden Markov model has been challenging in terms of scalability
due to dependencies in the observation data. In this paper, we utilize the
inherent memory decay in hidden Markov models, such that the forward and
backward probabilities can be carried out with subsequences, enabling efficient
inference ov... | 0 | 0 | 0 | 1 | 0 | 0 |
Fabrication of antenna-coupled KID array for Cosmic Microwave Background detection | Kinetic Inductance Detectors (KIDs) have become an attractive alternative to
traditional bolometers in the sub-mm and mm observing community due to their
innate frequency multiplexing capabilities and simple lithographic processes.
These advantages make KIDs a viable option for the $O(500,000)$ detectors
needed for t... | 0 | 1 | 0 | 0 | 0 | 0 |
The biglasso Package: A Memory- and Computation-Efficient Solver for Lasso Model Fitting with Big Data in R | Penalized regression models such as the lasso have been extensively applied
to analyzing high-dimensional data sets. However, due to memory limitations,
existing R packages like glmnet and ncvreg are not capable of fitting
lasso-type models for ultrahigh-dimensional, multi-gigabyte data sets that are
increasingly see... | 0 | 0 | 0 | 1 | 0 | 0 |
Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local Minimizers | Many optimization algorithms converge to stationary points. When the
underlying problem is nonconvex, they may get trapped at local minimizers and
occasionally stagnate near saddle points. We propose the Run-and-Inspect
Method, which adds an "inspect" phase to existing algorithms that helps escape
from non-global sta... | 1 | 0 | 0 | 1 | 0 | 0 |
Hierarchical Adversarially Learned Inference | We propose a novel hierarchical generative model with a simple Markovian
structure and a corresponding inference model. Both the generative and
inference model are trained using the adversarial learning paradigm. We
demonstrate that the hierarchical structure supports the learning of
progressively more abstract repre... | 0 | 0 | 0 | 1 | 0 | 0 |
Demonstration of a quantum key distribution network in urban fibre-optic communication lines | We report the results of the implementation of a quantum key distribution
(QKD) network using standard fibre communication lines in Moscow. The developed
QKD network is based on the paradigm of trusted repeaters and allows a common
secret key to be generated between users via an intermediate trusted node. The
main fe... | 1 | 0 | 0 | 0 | 0 | 0 |
ZhuSuan: A Library for Bayesian Deep Learning | In this paper we introduce ZhuSuan, a python probabilistic programming
library for Bayesian deep learning, which conjoins the complimentary advantages
of Bayesian methods and deep learning. ZhuSuan is built upon Tensorflow. Unlike
existing deep learning libraries, which are mainly designed for deterministic
neural ne... | 1 | 0 | 0 | 1 | 0 | 0 |
UntrimmedNets for Weakly Supervised Action Recognition and Detection | Current action recognition methods heavily rely on trimmed videos for model
training. However, it is expensive and time-consuming to acquire a large-scale
trimmed video dataset. This paper presents a new weakly supervised
architecture, called UntrimmedNet, which is able to directly learn action
recognition models fro... | 1 | 0 | 0 | 0 | 0 | 0 |
Flatness of Minima in Random Inflationary Landscapes | We study the likelihood which relative minima of random polynomial potentials
support the slow-roll conditions for inflation. Consistent with
renormalizability and boundedness, the coefficients that appear in the
potential are chosen to be order one with respect to the energy scale at which
inflation transpires. Inve... | 0 | 1 | 0 | 0 | 0 | 0 |
Deconvolutional Latent-Variable Model for Text Sequence Matching | A latent-variable model is introduced for text matching, inferring sentence
representations by jointly optimizing generative and discriminative objectives.
To alleviate typical optimization challenges in latent-variable models for
text, we employ deconvolutional networks as the sequence decoder (generator),
providing... | 1 | 0 | 0 | 1 | 0 | 0 |
Magneto-elastic coupling model of deformable anisotropic superconductors | We develop a magneto-elastic (ME) coupling model for the interaction between
the vortex lattice and crystal elasticity. The theory extends the Kogan-Clem's
anisotropic Ginzburg-Landau (GL) model to include the elasticity effect. The
anisotropies in superconductivity and elasticity are simultaneously considered
in the... | 0 | 1 | 0 | 0 | 0 | 0 |
Sparse Phase Retrieval via Sparse PCA Despite Model Misspecification: A Simplified and Extended Analysis | We consider the problem of high-dimensional misspecified phase retrieval.
This is where we have an $s$-sparse signal vector $\mathbf{x}_*$ in
$\mathbb{R}^n$, which we wish to recover using sampling vectors
$\textbf{a}_1,\ldots,\textbf{a}_m$, and measurements $y_1,\ldots,y_m$, which
are related by the equation $f(\lef... | 1 | 0 | 1 | 0 | 0 | 0 |
Convex Optimization with Unbounded Nonconvex Oracles using Simulated Annealing | We consider the problem of minimizing a convex objective function $F$ when
one can only evaluate its noisy approximation $\hat{F}$. Unless one assumes
some structure on the noise, $\hat{F}$ may be an arbitrary nonconvex function,
making the task of minimizing $F$ intractable. To overcome this, prior work has
often fo... | 1 | 0 | 0 | 1 | 0 | 0 |
Online $^{222}$Rn removal by cryogenic distillation in the XENON100 experiment | We describe the purification of xenon from traces of the radioactive noble
gas radon using a cryogenic distillation column. The distillation column is
integrated into the gas purification loop of the XENON100 detector for online
radon removal. This enabled us to significantly reduce the constant $^{222}$Rn
background... | 0 | 1 | 0 | 0 | 0 | 0 |
The Kite Graph is Determined by Its Adjacency Spectrum | The Kite graph $Kite_{p}^{q}$ is obtained by appending the complete graph
$K_{p}$ to a pendant vertex of the path $P_{q}$. In this paper, the kite graph
is proved to be determined by the spectrum of its adjacency matrix.
| 0 | 0 | 1 | 0 | 0 | 0 |
Matchability of heterogeneous networks pairs | We consider the problem of graph matchability in non-identically distributed
networks. In a general class of edge-independent networks, we demonstrate that
graph matchability is almost surely lost when matching the networks directly,
and is almost perfectly recovered when first centering the networks using
Universal ... | 1 | 0 | 1 | 1 | 0 | 0 |
Visual Progression Analysis of Student Records Data | University curriculum, both on a campus level and on a per-major level, are
affected in a complex way by many decisions of many administrators and faculty
over time. As universities across the United States share an urgency to
significantly improve student success and success retention, there is a
pressing need to be... | 1 | 0 | 0 | 0 | 0 | 0 |
A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction | While linear mixed model (LMM) has shown a competitive performance in
correcting spurious associations raised by population stratification, family
structures, and cryptic relatedness, more challenges are still to be addressed
regarding the complex structure of genotypic and phenotypic data. For example,
geneticists h... | 1 | 0 | 0 | 1 | 0 | 0 |
Capacity Releasing Diffusion for Speed and Locality | Diffusions and related random walk procedures are of central importance in
many areas of machine learning, data analysis, and applied mathematics. Because
they spread mass agnostically at each step in an iterative manner, they can
sometimes spread mass "too aggressively," thereby failing to find the "right"
clusters.... | 1 | 0 | 0 | 0 | 0 | 0 |
Two-term spectral asymptotics for the Dirichlet pseudo-relativistic kinetic energy operator on a bounded domain | Continuing the series of works following Weyl's one-term asymptotic formula
for the counting function $N(\lambda)=\sum_{n=1}^\infty(\lambda_n{-}\lambda)_-$
of the eigenvalues of the Dirichlet Laplacian and the much later found two-term
expansion on domains with highly regular boundary by Ivrii and Melrose, we
prove a... | 0 | 0 | 1 | 0 | 0 | 0 |
Exact Good-Turing characterization of the two-parameter Poisson-Dirichlet superpopulation model | Large sample size equivalence between the celebrated {\it approximated}
Good-Turing estimator of the probability to discover a species already observed
a certain number of times (Good, 1953) and the modern Bayesian nonparametric
counterpart has been recently established by virtue of a particular smoothing
rule based ... | 0 | 0 | 1 | 1 | 0 | 0 |
Uniform deviation and moment inequalities for random polytopes with general densities in arbitrary convex bodies | We prove an exponential deviation inequality for the convex hull of a finite
sample of i.i.d. random points with a density supported on an arbitrary convex
body in $\R^d$, $d\geq 2$. When the density is uniform, our result yields rate
optimal upper bounds for all the moments of the missing volume of the convex
hull, ... | 0 | 0 | 1 | 1 | 0 | 0 |
On the Efficiency of Connection Charges---Part II: Integration of Distributed Energy Resources | This two-part paper addresses the design of retail electricity tariffs for
distribution systems with distributed energy resources (DERs). Part I presents
a framework to optimize an ex-ante two-part tariff for a regulated monopolistic
retailer who faces stochastic wholesale prices on the one hand and stochastic
demand... | 0 | 0 | 1 | 0 | 0 | 0 |
Simplified Gating in Long Short-term Memory (LSTM) Recurrent Neural Networks | The standard LSTM recurrent neural networks while very powerful in long-range
dependency sequence applications have highly complex structure and relatively
large (adaptive) parameters. In this work, we present empirical comparison
between the standard LSTM recurrent neural network architecture and three new
parameter... | 1 | 0 | 0 | 1 | 0 | 0 |
Transition Jitter in Heat Assisted Magnetic Recording by Micromagnetic Simulation | In this paper we apply an extended Landau-Lifschitz equation, as introduced
by Baňas et al. for the simulation of heat-assisted magnetic recording.
This equation has similarities with the Landau-Lifshitz-Bloch equation. The
Baňas equation is supposed to be used in a continuum setting with sub-grain
discretization by ... | 0 | 1 | 0 | 0 | 0 | 0 |
Complexity of human response delay in intermittent control: The case of virtual stick balancing | Response delay is an inherent and essential part of human actions. In the
context of human balance control, the response delay is traditionally modeled
using the formalism of delay-differential equations, which adopts the
approximation of fixed delay. However, experimental studies revealing
substantial variability, a... | 0 | 0 | 0 | 0 | 1 | 0 |
Algebraic cycles on some special hyperkähler varieties | This note contains some examples of hyperkähler varieties $X$ having a
group $G$ of non-symplectic automorphisms, and such that the action of $G$ on
certain Chow groups of $X$ is as predicted by Bloch's conjecture. The examples
range in dimension from $6$ to $132$. For each example, the quotient $Y=X/G$ is
a Calabi-Y... | 0 | 0 | 1 | 0 | 0 | 0 |
On recurrence in G-spaces | We introduce and analyze the following general concept of recurrence. Let $G$
be a group and let $X$ be a G-space with the action $G\times X\longrightarrow
X$, $(g,x)\longmapsto gx$. For a family $\mathfrak{F}$ of subset of $X$ and
$A\in \mathfrak{F}$, we denote $\Delta_{\mathfrak{F}}(A)=\{g\in G: gB\subseteq
A$ for ... | 0 | 0 | 1 | 0 | 0 | 0 |
Deep adversarial neural decoding | Here, we present a novel approach to solve the problem of reconstructing
perceived stimuli from brain responses by combining probabilistic inference
with deep learning. Our approach first inverts the linear transformation from
latent features to brain responses with maximum a posteriori estimation and
then inverts th... | 1 | 0 | 0 | 1 | 0 | 0 |
Optimally Guarding 2-Reflex Orthogonal Polyhedra by Reflex Edge Guards | We study the problem of guarding an orthogonal polyhedron having reflex edges
in just two directions (as opposed to three) by placing guards on reflex edges
only.
We show that (r - g)/2 + 1 reflex edge guards are sufficient, where r is the
number of reflex edges in a given polyhedron and g is its genus. This bound is... | 1 | 0 | 0 | 0 | 0 | 0 |
Strongly regular decompositions and symmetric association schemes of a power of two | For any positive integer $m$, the complete graph on $2^{2m}(2^m+2)$ vertices
is decomposed into $2^m+1$ commuting strongly regular graphs, which give rise
to a symmetric association scheme of class $2^{m+2}-2$. Furthermore, the
eigenmatrices of the symmetric association schemes are determined explicitly.
As an applic... | 0 | 0 | 1 | 0 | 0 | 0 |
Resilient Non-Submodular Maximization over Matroid Constraints | The control and sensing of large-scale systems results in combinatorial
problems not only for sensor and actuator placement but also for scheduling or
observability/controllability. Such combinatorial constraints in system design
and implementation can be captured using a structure known as matroids. In
particular, t... | 1 | 0 | 0 | 1 | 0 | 0 |
Tests for comparing time-invariant and time-varying spectra based on the Anderson-Darling statistic | Based on periodogram-ratios of two univariate time series at different
frequency points, two tests are proposed for comparing their spectra. One is an
Anderson-Darling-like statistic for testing the equality of two time-invariant
spectra. The other is the maximum of Anderson-Darling-like statistics for
testing the eq... | 0 | 0 | 0 | 1 | 0 | 0 |
Temperley-Lieb and Birman-Murakami-Wenzl like relations from multiplicity free semi-simple tensor system | In this article we consider conditions under which projection operators in
multiplicity free semi-simple tensor categories satisfy Temperley-Lieb like
relations. This is then used as a stepping stone to prove sufficient conditions
for obtaining a representation of the Birman-Murakami-Wenzl algebra from a
braided mult... | 0 | 0 | 1 | 0 | 0 | 0 |
A Nash Type result for Divergence Parabolic Equation related to Hormander's vector fields | In this paper we consider the divergence parabolic equation with bounded and
measurable coefficients related to Hormander's vector fields and establish a
Nash type result, i.e., the local Holder regularity for weak solutions. After
deriving the parabolic Sobolev inequality, (1,1) type Poincaré inequality of
Horman... | 0 | 0 | 1 | 0 | 0 | 0 |
Wick order, spreadability and exchangeability for monotone commutation relations | We exhibit a Hamel basis for the concrete $*$-algebra $\mathfrak{M}_o$
associated to monotone commutation relations realised on the monotone Fock
space, mainly composed by Wick ordered words of annihilators and creators. We
apply such a result to investigate spreadability and exchangeability of the
stochastic process... | 0 | 0 | 1 | 0 | 0 | 0 |
Visualizing Time-Varying Particle Flows with Diffusion Geometry | The tasks of identifying separation structures and clusters in flow data are
fundamental to flow visualization. Significant work has been devoted to these
tasks in flow represented by vector fields, but there are unique challenges in
addressing these tasks for time-varying particle data. The unstructured nature
of pa... | 1 | 0 | 0 | 0 | 0 | 0 |
Factorization tricks for LSTM networks | We present two simple ways of reducing the number of parameters and
accelerating the training of large Long Short-Term Memory (LSTM) networks: the
first one is "matrix factorization by design" of LSTM matrix into the product
of two smaller matrices, and the second one is partitioning of LSTM matrix, its
inputs and st... | 1 | 0 | 0 | 1 | 0 | 0 |
Pure Rough Mereology and Counting | The study of mereology (parts and wholes) in the context of formal approaches
to vagueness can be approached in a number of ways. In the context of rough
sets, mereological concepts with a set-theoretic or valuation based ontology
acquire complex and diverse behavior. In this research a general rough set
framework ca... | 1 | 0 | 1 | 0 | 0 | 0 |
Relaxation of nonlinear elastic energies involving deformed configuration and applications to nematic elastomers | We start from a variational model for nematic elastomers that involves two
energies: mechanical and nematic. The first one consists of a nonlinear elastic
energy which is influenced by the orientation of the molecules of the nematic
elastomer. The nematic energy is an Oseen--Frank energy in the deformed
configuration... | 0 | 0 | 1 | 0 | 0 | 0 |
A Scalable Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Weight and Workload Balancing | Deep Neural Networks (DNNs) have revolutionized numerous applications, but
the demand for ever more performance remains unabated. Scaling DNN computations
to larger clusters is generally done by distributing tasks in batch mode using
methods such as distributed synchronous SGD. Among the issues with this
approach is ... | 1 | 0 | 0 | 0 | 0 | 0 |
Toward Incorporation of Relevant Documents in word2vec | Recent advances in neural word embedding provide significant benefit to
various information retrieval tasks. However as shown by recent studies,
adapting the embedding models for the needs of IR tasks can bring considerable
further improvements. The embedding models in general define the term
relatedness by exploitin... | 1 | 0 | 0 | 0 | 0 | 0 |
Randomized Load Balancing on Networks with Stochastic Inputs | Iterative load balancing algorithms for indivisible tokens have been studied
intensively in the past. Complementing previous worst-case analyses, we study
an average-case scenario where the load inputs are drawn from a fixed
probability distribution. For cycles, tori, hypercubes and expanders, we obtain
almost matchi... | 1 | 0 | 0 | 0 | 0 | 0 |
The classification of Lagrangians nearby the Whitney immersion | The Whitney immersion is a Lagrangian sphere inside the four-dimensional
symplectic vector space which has a single transverse double point of
self-intersection index $+1.$ This Lagrangian also arises as the Weinstein
skeleton of the complement of a binodal cubic curve inside the projective
plane, and the latter Wein... | 0 | 0 | 1 | 0 | 0 | 0 |
Simulation study of energy resolution, position resolution and $π^0$-$γ$ separation of a sampling electromagnetic calorimeter at high energies | A simulation study of energy resolution, position resolution, and
$\pi^0$-$\gamma$ separation using multivariate methods of a sampling
calorimeter is presented. As a realistic example, the geometry of the
calorimeter is taken from the design geometry of the Shashlik calorimeter which
was considered as a candidate for... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-Round Influence Maximization (Extended Version) | In this paper, we study the Multi-Round Influence Maximization (MRIM)
problem, where influence propagates in multiple rounds independently from
possibly different seed sets, and the goal is to select seeds for each round to
maximize the expected number of nodes that are activated in at least one round.
MRIM problem m... | 1 | 0 | 0 | 0 | 0 | 0 |
Generalisation dynamics of online learning in over-parameterised neural networks | Deep neural networks achieve stellar generalisation on a variety of problems,
despite often being large enough to easily fit all their training data. Here we
study the generalisation dynamics of two-layer neural networks in a
teacher-student setup, where one network, the student, is trained using
stochastic gradient ... | 1 | 0 | 0 | 1 | 0 | 0 |
Nonparametric Testing for Differences in Electricity Prices: The Case of the Fukushima Nuclear Accident | This work is motivated by the problem of testing for differences in the mean
electricity prices before and after Germany's abrupt nuclear phaseout after the
nuclear disaster in Fukushima Daiichi, Japan, in mid-March 2011. Taking into
account the nature of the data and the auction design of the electricity
market, we ... | 0 | 0 | 0 | 1 | 0 | 0 |
Dynamic coupling of ferromagnets via spin Hall magnetoresistance | The synchronized magnetization dynamics in ferromagnets on a nonmagnetic
heavy metal caused by the spin Hall effect is investigated theoretically. The
direct and inverse spin Hall effects near the ferromagnetic/nonmagnetic
interface generate longitudinal and transverse electric currents. The
phenomenon is known as th... | 0 | 1 | 0 | 0 | 0 | 0 |
Exact Combinatorial Inference for Brain Images | The permutation test is known as the exact test procedure in statistics.
However, often it is not exact in practice and only an approximate method since
only a small fraction of every possible permutation is generated. Even for a
small sample size, it often requires to generate tens of thousands
permutations, which c... | 0 | 0 | 0 | 1 | 1 | 0 |
Laser annealing heals radiation damage in avalanche photodiodes | Avalanche photodiodes (APDs) are a practical option for space-based quantum
communications requiring single-photon detection. However, radiation damage to
APDs significantly increases their dark count rates and reduces their useful
lifetimes in orbit. We show that high-power laser annealing of irradiated APDs
of thre... | 0 | 1 | 0 | 0 | 0 | 0 |
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification | We are interested in the development of surrogate models for uncertainty
quantification and propagation in problems governed by stochastic PDEs using a
deep convolutional encoder-decoder network in a similar fashion to approaches
considered in deep learning for image-to-image regression tasks. Since normal
neural net... | 0 | 0 | 0 | 1 | 0 | 0 |
A symmetric monoidal and equivariant Segal infinite loop space machine | In [MMO] (arXiv:1704.03413), we reworked and generalized equivariant infinite
loop space theory, which shows how to construct $G$-spectra from $G$-spaces
with suitable structure. In this paper, we construct a new variant of the
equivariant Segal machine that starts from the category $\scr{F}$ of finite
sets rather th... | 0 | 0 | 1 | 0 | 0 | 0 |
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