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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Trigonometric integrators for quasilinear wave equations | Trigonometric time integrators are introduced as a class of explicit
numerical methods for quasilinear wave equations. Second-order convergence for
the semi-discretization in time with these integrators is shown for a
sufficiently regular exact solution. The time integrators are also combined
with a Fourier spectral ... | 0 | 0 | 1 | 0 | 0 | 0 |
La leggenda del quanto centenario | Around year 2000 the centenary of Planck's thermal radiation formula awakened
interest in the origins of quantum theory, traditionally traced back to the
Planck's conference on 14 December 1900 at the Berlin Academy of Sciences. A
lot of more accurate historical reconstructions, conducted under the stimulus
of that r... | 0 | 1 | 0 | 0 | 0 | 0 |
A Highly Efficient Polarization-Independent Metamaterial-Based RF Energy-Harvesting Rectenna for Low-Power Applications | A highly-efficient multi-resonant RF energy-harvesting rectenna based on a
metamaterial perfect absorber featuring closely-spaced polarization-independent
absorption modes is presented. Its effective area is larger than its physical
area, and so efficiencies of 230% and 130% are measured at power densities of
10 uW/c... | 0 | 1 | 0 | 0 | 0 | 0 |
Mixed Graphical Models for Causal Analysis of Multi-modal Variables | Graphical causal models are an important tool for knowledge discovery because
they can represent both the causal relations between variables and the
multivariate probability distributions over the data. Once learned, causal
graphs can be used for classification, feature selection and hypothesis
generation, while reve... | 1 | 0 | 0 | 1 | 0 | 0 |
Estimation of quantile oriented sensitivity indices | The paper concerns quantile oriented sensitivity analysis. We rewrite the
corresponding indices using the Conditional Tail Expectation risk measure.
Then, we use this new expression to built estimators.
| 0 | 0 | 1 | 1 | 0 | 0 |
Electromagnetically Induced Transparency (EIT) Amplitude Noise Spectroscopy | Intensity noise cross-correlation of the polarization eigenstates of light
emerging from an atomic vapor cell in the Hanle configuration allows one to
perform high resolution spectroscopy with free- running semiconductor lasers.
Such an approach has shown promise as an inexpensive, simpler approach to
magnetometry an... | 0 | 1 | 0 | 0 | 0 | 0 |
Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences | Amino acid sequence portrays most intrinsic form of a protein and expresses
primary structure of protein. The order of amino acids in a sequence enables a
protein to acquire a particular stable conformation that is responsible for the
functions of the protein. This relationship between a sequence and its function
mot... | 0 | 0 | 0 | 0 | 1 | 0 |
Helicity of convective flows from localized heat source in a rotating layer | Experimental and numerical study of the steady-state cyclonic vortex from
isolated heat source in a rotating fluid layer is described. The structure of
laboratory cyclonic vortex is similar to the typical structure of tropical
cyclones from observational data and numerical modelling including secondary
flows in the b... | 0 | 1 | 0 | 0 | 0 | 0 |
Tunable $φ$-Josephson junction with a quantum anomalous Hall insulator | We theoretically study the Josephson current in a superconductor/quantum
anomalous Hall insulator/superconductor junction by using the lattice Green
function technique. When an in-plane external Zeeman field is applied to the
quantum anomalous Hall insulator, the Josephson current $J$ flows without a
phase difference... | 0 | 1 | 0 | 0 | 0 | 0 |
What kind of content are you prone to tweet? Multi-topic Preference Model for Tweeters | According to tastes, a person could show preference for a given category of
content to a greater or lesser extent. However, quantifying people's amount of
interest in a certain topic is a challenging task, especially considering the
massive digital information they are exposed to. For example, in the context of
Twitt... | 1 | 0 | 0 | 0 | 0 | 0 |
Fine-Gray competing risks model with high-dimensional covariates: estimation and Inference | The purpose of this paper is to construct confidence intervals for the
regression coefficients in the Fine-Gray model for competing risks data with
random censoring, where the number of covariates can be larger than the sample
size. Despite strong motivation from biostatistics applications,
high-dimensional Fine-Gray... | 0 | 0 | 1 | 1 | 0 | 0 |
The Godunov Method for a 2-Phase Model | We consider the Godunov numerical method to the phase-transition traffic
model, proposed in [6], by Colombo, Marcellini, and Rascle. Numerical tests are
shown to prove the validity of the method. Moreover we highlight the
differences between such model and the one proposed in [1], by Blandin, Work,
Goatin, Piccoli, a... | 0 | 0 | 1 | 0 | 0 | 0 |
Cartan's Conjecture for Moving Hypersurfaces | Let $f$ be a holomorphic curve in $\mathbb{P}^n({\mathbb{C}})$ and let
$\mathcal{D}=\{D_1,\ldots,D_q\}$ be a family of moving hypersurfaces defined by
a set of homogeneous polynomials $\mathcal{Q}=\{Q_1,\ldots,Q_q\}$. For
$j=1,\ldots,q$, denote by
$Q_j=\sum\limits_{i_0+\cdots+i_n=d_j}a_{j,I}(z)x_0^{i_0}\cdots x_n^{i_... | 0 | 0 | 1 | 0 | 0 | 0 |
Safe Active Feature Selection for Sparse Learning | We present safe active incremental feature selection~(SAIF) to scale up the
computation of LASSO solutions. SAIF does not require a solution from a heavier
penalty parameter as in sequential screening or updating the full model for
each iteration as in dynamic screening. Different from these existing screening
method... | 0 | 0 | 0 | 1 | 0 | 0 |
Cobwebs from the Past and Present: Extracting Large Social Networks using Internet Archive Data | Social graph construction from various sources has been of interest to
researchers due to its application potential and the broad range of technical
challenges involved. The World Wide Web provides a huge amount of continuously
updated data and information on a wide range of topics created by a variety of
content pro... | 1 | 1 | 0 | 0 | 0 | 0 |
A Fluid-Flow Interpretation of SCED Scheduling | We show that a fluid-flow interpretation of Service Curve Earliest Deadline
First (SCED) scheduling simplifies deadline derivations for this scheduler. By
exploiting the recently reported isomorphism between min-plus and max-plus
network calculus, and expressing deadlines in a max-plus algebra, deadline
computations ... | 1 | 0 | 0 | 0 | 0 | 0 |
Emergence of Topological Nodal Lines and Type II Weyl Nodes in Strong Spin--Orbit Coupling System InNbX2(X=S,Se) | Using first--principles density functional calculations, we systematically
investigate electronic structures and topological properties of InNbX2 (X=S,
Se). In the absence of spin--orbit coupling (SOC), both compounds show nodal
lines protected by mirror symmetry. Including SOC, the Dirac rings in InNbS2
split into t... | 0 | 1 | 0 | 0 | 0 | 0 |
Number-conserving interacting fermion models with exact topological superconducting ground states | We present a method to construct number-conserving Hamiltonians whose ground
states exactly reproduce an arbitrarily chosen BCS-type mean-field state. Such
parent Hamiltonians can be constructed not only for the usual $s$-wave BCS
state, but also for more exotic states of this form, including the ground
states of Kit... | 0 | 1 | 0 | 0 | 0 | 0 |
JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction | We present a new parallel corpus, JHU FLuency-Extended GUG corpus (JFLEG) for
developing and evaluating grammatical error correction (GEC). Unlike other
corpora, it represents a broad range of language proficiency levels and uses
holistic fluency edits to not only correct grammatical errors but also make the
original... | 1 | 0 | 0 | 0 | 0 | 0 |
Scheduling with regular performance measures and optional job rejection on a single machine | We address single machine problems with optional jobs - rejection, studied
recently in Zhang et al. [21] and Cao et al. [2]. In these papers, the authors
focus on minimizing regular performance measures, i.e., functions that are
non-decreasing in the jobs completion time, subject to the constraint that the
total reje... | 1 | 0 | 0 | 0 | 0 | 0 |
Data-Driven Stochastic Robust Optimization: A General Computational Framework and Algorithm for Optimization under Uncertainty in the Big Data Era | A novel data-driven stochastic robust optimization (DDSRO) framework is
proposed for optimization under uncertainty leveraging labeled multi-class
uncertainty data. Uncertainty data in large datasets are often collected from
various conditions, which are encoded by class labels. Machine learning methods
including Dir... | 1 | 0 | 1 | 0 | 0 | 0 |
Algebraic multiscale method for flow in heterogeneous porous media with embedded discrete fractures (F-AMS) | This paper introduces an Algebraic MultiScale method for simulation of flow
in heterogeneous porous media with embedded discrete Fractures (F-AMS). First,
multiscale coarse grids are independently constructed for both porous matrix
and fracture networks. Then, a map between coarse- and fine-scale is obtained
by algeb... | 1 | 1 | 0 | 0 | 0 | 0 |
From Pragmatic to Systematic Software Process Improvement: An Evaluated Approach | Software processes improvement (SPI) is a challenging task, as many different
stakeholders, project settings, and contexts and goals need to be considered.
SPI projects are often operated in a complex and volatile environment and,
thus, require a sound management that is resource-intensive requiring many
stakeholders... | 1 | 0 | 0 | 0 | 0 | 0 |
A Bayesian Mixture Model for Clustering on the Stiefel Manifold | Analysis of a Bayesian mixture model for the Matrix Langevin distribution on
the Stiefel manifold is presented. The model exploits a particular
parametrization of the Matrix Langevin distribution, various aspects of which
are elaborated on. A general, and novel, family of conjugate priors, and an
efficient Markov cha... | 0 | 0 | 0 | 1 | 0 | 0 |
Discrete Cycloids from Convex Symmetric Polygons | Cycloids, hipocycloids and epicycloids have an often forgotten common
property: they are homothetic to their evolutes. But what if use convex
symmetric polygons as unit balls, can we define evolutes and cycloids which are
genuinely discrete? Indeed, we can! We define discrete cycloids as eigenvectors
of a discrete do... | 0 | 0 | 1 | 0 | 0 | 0 |
Multi-color image compression-encryption algorithm based on chaotic system and fuzzy transform | In this paper an algorithm for multi-color image compression-encryption is
introduced. For compression step fuzzy transform based on exponential b-spline
function is used. In encryption step, a novel combination chaotic system based
on Sine and Tent systems is proposed. Also in the encryption algorithm, 3D
shift base... | 1 | 0 | 0 | 0 | 0 | 0 |
Gaussian Graphical Models: An Algebraic and Geometric Perspective | Gaussian graphical models are used throughout the natural sciences, social
sciences, and economics to model the statistical relationships between
variables of interest in the form of a graph. We here provide a pedagogic
introduction to Gaussian graphical models and review recent results on maximum
likelihood estimati... | 0 | 0 | 1 | 1 | 0 | 0 |
The Dynamical History of Chariklo and its Rings | Chariklo is the only small Solar system body confirmed to have rings. Given
the instability of its orbit, the presence of rings is surprising, and their
origin remains poorly understood. In this work, we study the dynamical history
of the Chariklo system by integrating almost 36,000 Chariklo clones backwards
in time ... | 0 | 1 | 0 | 0 | 0 | 0 |
THAP: A Matlab Toolkit for Learning with Hawkes Processes | As a powerful tool of asynchronous event sequence analysis, point processes
have been studied for a long time and achieved numerous successes in different
fields. Among various point process models, Hawkes process and its variants
attract many researchers in statistics and computer science these years because
they ca... | 1 | 0 | 0 | 1 | 0 | 0 |
Studies of the Response of the SiD Silicon-Tungsten ECal | Studies of the response of the SiD silicon-tungsten electromagnetic
calorimeter (ECal) are presented. Layers of highly granular (13 mm^2 pixels)
silicon detectors embedded in thin gaps (~ 1 mm) between tungsten alloy plates
give the SiD ECal the ability to separate electromagnetic showers in a crowded
environment. A ... | 0 | 1 | 0 | 0 | 0 | 0 |
Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views | In this study, a multiple hypothesis tracking (MHT) algorithm for
multi-target multi-camera tracking (MCT) with disjoint views is proposed. Our
method forms track-hypothesis trees, and each branch of them represents a
multi-camera track of a target that may move within a camera as well as move
across cameras. Further... | 1 | 0 | 0 | 0 | 0 | 0 |
Smooth positon solutions of the focusing modified Korteweg-de Vries equation | The $n$-fold Darboux transformation $T_{n}$ of the focusing real mo\-di\-fied
Kor\-te\-weg-de Vries (mKdV) equation is expressed in terms of the determinant
representation. Using this representation, the $n$-soliton solutions of the
mKdV equation are also expressed by determinants whose elements consist of the
eigenv... | 0 | 1 | 0 | 0 | 0 | 0 |
On discrimination between two close distribution tails | The goodness-of-fit test for discrimination of two tail distribution using
higher order statistics is proposed. The consistency of proposed test is proved
for two different alternatives. We do not assume belonging the corresponding
distribution function to a maximum domain of attraction.
| 0 | 0 | 1 | 1 | 0 | 0 |
Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow | Belief Propagation algorithms are instruments used broadly to solve graphical
model optimization and statistical inference problems. In the general case of a
loopy Graphical Model, Belief Propagation is a heuristic which is quite
successful in practice, even though its empirical success, typically, lacks
theoretical ... | 1 | 0 | 0 | 1 | 0 | 0 |
Sharper and Simpler Nonlinear Interpolants for Program Verification | Interpolation of jointly infeasible predicates plays important roles in
various program verification techniques such as invariant synthesis and CEGAR.
Intrigued by the recent result by Dai et al.\ that combines real algebraic
geometry and SDP optimization in synthesis of polynomial interpolants, the
current paper con... | 1 | 0 | 0 | 0 | 0 | 0 |
Quantized Laplacian growth, III: On conformal field theories of Laplacian growth | A one-parametric stochastic dynamics of the interface in the quantized
Laplacian growth with zero surface tension is introduced. The quantization
procedure regularizes the growth by preventing the formation of cusps at the
interface, and makes the interface dynamics chaotic. In a long time asymptotic,
by coupling a c... | 0 | 1 | 0 | 0 | 0 | 0 |
Supervised Saliency Map Driven Segmentation of the Lesions in Dermoscopic Images | Lesion segmentation is the first step in most automatic melanoma recognition
systems. Deficiencies and difficulties in dermoscopic images such as color
inconstancy, hair occlusion, dark corners and color charts make lesion
segmentation an intricate task. In order to detect the lesion in the presence
of these problems... | 1 | 0 | 0 | 0 | 0 | 0 |
The Mean and Median Criterion for Automatic Kernel Bandwidth Selection for Support Vector Data Description | Support vector data description (SVDD) is a popular technique for detecting
anomalies. The SVDD classifier partitions the whole space into an inlier
region, which consists of the region near the training data, and an outlier
region, which consists of points away from the training data. The computation
of the SVDD cla... | 1 | 0 | 0 | 1 | 0 | 0 |
Understanding the Impact of Label Granularity on CNN-based Image Classification | In recent years, supervised learning using Convolutional Neural Networks
(CNNs) has achieved great success in image classification tasks, and large
scale labeled datasets have contributed significantly to this achievement.
However, the definition of a label is often application dependent. For example,
an image of a c... | 1 | 0 | 0 | 0 | 0 | 0 |
Monte Carlo modified profile likelihood in models for clustered data | The main focus of the analysts who deal with clustered data is usually not on
the clustering variables, and hence the group-specific parameters are treated
as nuisance. If a fixed effects formulation is preferred and the total number
of clusters is large relative to the single-group sizes, classical frequentist
techn... | 0 | 0 | 0 | 1 | 0 | 0 |
Anisotropic spin-density distribution and magnetic anisotropy of strained La$_{1-x}$Sr$_x$MnO$_3$ thin films: Angle-dependent x-ray magnetic circular dichroism | Magnetic anisotropies of ferromagnetic thin films are induced by epitaxial
strain from the substrate via strain-induced anisotropy in the orbital magnetic
moment and that in the spatial distribution of spin-polarized electrons.
However, the preferential orbital occupation in ferromagnetic metallic
La$_{1-x}$Sr$_x$MnO... | 0 | 1 | 0 | 0 | 0 | 0 |
An Annotated Corpus of Relational Strategies in Customer Service | We create and release the first publicly available commercial customer
service corpus with annotated relational segments. Human-computer data from
three live customer service Intelligent Virtual Agents (IVAs) in the domains of
travel and telecommunications were collected, and reviewers marked all text
that was deemed... | 1 | 0 | 0 | 0 | 0 | 0 |
Putting gravity in control | The aim of the present manuscript is to present a novel proposal in Geometric
Control Theory inspired in the principles of General Relativity and
energy-shaping control.
| 0 | 0 | 1 | 0 | 0 | 0 |
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples | Sometimes it is not enough for a DNN to produce an outcome. For example, in
applications such as healthcare, users need to understand the rationale of the
decisions. Therefore, it is imperative to develop algorithms to learn models
with good interpretability (Doshi-Velez 2017). An important factor that leads
to the l... | 1 | 0 | 0 | 1 | 0 | 0 |
Learning a Hierarchical Latent-Variable Model of 3D Shapes | We propose the Variational Shape Learner (VSL), a generative model that
learns the underlying structure of voxelized 3D shapes in an unsupervised
fashion. Through the use of skip-connections, our model can successfully learn
and infer a latent, hierarchical representation of objects. Furthermore,
realistic 3D objects... | 1 | 0 | 0 | 0 | 0 | 0 |
Maximally rotating waves in AdS and on spheres | We study the cubic wave equation in AdS_(d+1) (and a closely related cubic
wave equation on S^3) in a weakly nonlinear regime. Via time-averaging, these
systems are accurately described by simplified infinite-dimensional quartic
Hamiltonian systems, whose structure is mandated by the fully resonant spectrum
of linear... | 0 | 1 | 1 | 0 | 0 | 0 |
Taming Wild High Dimensional Text Data with a Fuzzy Lash | The bag of words (BOW) represents a corpus in a matrix whose elements are the
frequency of words. However, each row in the matrix is a very high-dimensional
sparse vector. Dimension reduction (DR) is a popular method to address sparsity
and high-dimensionality issues. Among different strategies to develop DR
method, ... | 1 | 0 | 0 | 1 | 0 | 0 |
Spatial structure of shock formation | The formation of a singularity in a compressible gas, as described by the
Euler equation, is characterized by the steepening, and eventual overturning of
a wave. Using a self-similar description in two space dimensions, we show that
the spatial structure of this process, which starts at a point, is equivalent
to the ... | 0 | 1 | 1 | 0 | 0 | 0 |
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks) | This paper investigates how far a very deep neural network is from attaining
close to saturating performance on existing 2D and 3D face alignment datasets.
To this end, we make the following 5 contributions: (a) we construct, for the
first time, a very strong baseline by combining a state-of-the-art architecture
for ... | 1 | 0 | 0 | 0 | 0 | 0 |
Inhabitants of interesting subsets of the Bousfield lattice | The set of Bousfield classes has some important subsets such as the
distributive lattice $\mathbf{DL}$ of all classes $\langle E\rangle$ which are
smash idempotent and the complete Boolean algebra $\mathbf{cBA}$ of closed
classes. We provide examples of spectra that are in $\mathbf{DL}$, but not in
$\mathbf{cBA}$; in... | 0 | 0 | 1 | 0 | 0 | 0 |
A Framework for Implementing Machine Learning on Omics Data | The potential benefits of applying machine learning methods to -omics data
are becoming increasingly apparent, especially in clinical settings. However,
the unique characteristics of these data are not always well suited to machine
learning techniques. These data are often generated across different
technologies in d... | 0 | 0 | 0 | 0 | 1 | 0 |
Actively Calibrated Line Mountable Capacitive Voltage Transducer For Power Systems Applications | A class of Actively Calibrated Line Mounted Capacitive Voltage Transducers
(LMCVT) are introduced as a viable line mountable instrumentation option for
deploying large numbers of voltage transducers onto the medium and high voltage
systems. Active Calibration is shown to reduce the error of line mounted
voltage measu... | 0 | 1 | 0 | 0 | 0 | 0 |
AirCode: Unobtrusive Physical Tags for Digital Fabrication | We present AirCode, a technique that allows the user to tag physically
fabricated objects with given information. An AirCode tag consists of a group
of carefully designed air pockets placed beneath the object surface. These air
pockets are easily produced during the fabrication process of the object,
without any addi... | 1 | 0 | 0 | 0 | 0 | 0 |
Identifying Condition-Action Statements in Medical Guidelines Using Domain-Independent Features | This paper advances the state of the art in text understanding of medical
guidelines by releasing two new annotated clinical guidelines datasets, and
establishing baselines for using machine learning to extract condition-action
pairs. In contrast to prior work that relies on manually created rules, we
report experime... | 1 | 0 | 0 | 0 | 0 | 0 |
Adversarial Learning for Neural Dialogue Generation | In this paper, drawing intuition from the Turing test, we propose using
adversarial training for open-domain dialogue generation: the system is trained
to produce sequences that are indistinguishable from human-generated dialogue
utterances. We cast the task as a reinforcement learning (RL) problem where we
jointly t... | 1 | 0 | 0 | 0 | 0 | 0 |
On the impact origin of Phobos and Deimos III: resulting composition from different impactors | The origin of Phobos and Deimos in a giant impact generated disk is gaining
larger attention. Although this scenario has been the subject of many studies,
an evaluation of the chemical composition of the Mars' moons in this framework
is missing. The chemical composition of Phobos and Deimos is unconstrained. The
larg... | 0 | 1 | 0 | 0 | 0 | 0 |
Dealing with the Dimensionality Curse in Dynamic Pricing Competition: Using Frequent Repricing to Compensate Imperfect Market Anticipations | Most sales applications are characterized by competition and limited demand
information. For successful pricing strategies, frequent price adjustments as
well as anticipation of market dynamics are crucial. Both effects are
challenging as competitive markets are complex and computations of optimized
pricing adjustmen... | 0 | 0 | 0 | 0 | 0 | 1 |
Interleaved Group Convolutions for Deep Neural Networks | In this paper, we present a simple and modularized neural network
architecture, named interleaved group convolutional neural networks (IGCNets).
The main point lies in a novel building block, a pair of two successive
interleaved group convolutions: primary group convolution and secondary group
convolution. The two gr... | 1 | 0 | 0 | 0 | 0 | 0 |
Lower Bounding Diffusion Constant by the Curvature of Drude Weight | We establish a general connection between ballistic and diffusive transport
in systems where the ballistic contribution in canonical ensemble vanishes. A
lower bound on the Green-Kubo diffusion constant is derived in terms of the
curvature of the ideal transport coefficient, the Drude weight, with respect to
the fill... | 0 | 1 | 0 | 0 | 0 | 0 |
Face Detection using Deep Learning: An Improved Faster RCNN Approach | In this report, we present a new face detection scheme using deep learning
and achieve the state-of-the-art detection performance on the well-known FDDB
face detetion benchmark evaluation. In particular, we improve the
state-of-the-art faster RCNN framework by combining a number of strategies,
including feature conca... | 1 | 0 | 0 | 0 | 0 | 0 |
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task | End-to-end control for robot manipulation and grasping is emerging as an
attractive alternative to traditional pipelined approaches. However, end-to-end
methods tend to either be slow to train, exhibit little or no generalisability,
or lack the ability to accomplish long-horizon or multi-stage tasks. In this
paper, w... | 1 | 0 | 0 | 0 | 0 | 0 |
The cosmic spiderweb: equivalence of cosmic, architectural, and origami tessellations | For over twenty years, the term 'cosmic web' has guided our understanding of
the large-scale arrangement of matter in the cosmos, accurately evoking the
concept of a network of galaxies linked by filaments. But the physical
correspondence between the cosmic web and structural-engineering or textile
'spiderwebs' is ev... | 0 | 1 | 0 | 0 | 0 | 0 |
Data-driven polynomial chaos expansion for machine learning regression | We present a regression technique for data driven problems based on
polynomial chaos expansion (PCE). PCE is a popular technique in the field of
uncertainty quantification (UQ), where it is typically used to replace a
runnable but expensive computational model subject to random inputs with an
inexpensive-to-evaluate ... | 0 | 0 | 0 | 1 | 0 | 0 |
Robust Implicit Backpropagation | Arguably the biggest challenge in applying neural networks is tuning the
hyperparameters, in particular the learning rate. The sensitivity to the
learning rate is due to the reliance on backpropagation to train the network.
In this paper we present the first application of Implicit Stochastic Gradient
Descent (ISGD) ... | 0 | 0 | 0 | 1 | 0 | 0 |
Experimental and Theoretical Study of Magnetohydrodynamic Ship Models | Magnetohydrodynamic (MHD) ships represent a clear demonstration of the
Lorentz force in fluids, which explains the number of students practicals or
exercises described on the web. However, the related literature is rather
specific and no complete comparison between theory and typical small scale
experiments is curren... | 0 | 1 | 0 | 0 | 0 | 0 |
Ratio Utility and Cost Analysis for Privacy Preserving Subspace Projection | With a rapidly increasing number of devices connected to the internet, big
data has been applied to various domains of human life. Nevertheless, it has
also opened new venues for breaching users' privacy. Hence it is highly
required to develop techniques that enable data owners to privatize their data
while keeping i... | 0 | 0 | 0 | 1 | 0 | 0 |
Time-optimal control strategies in SIR epidemic models | We investigate the time-optimal control problem in SIR
(Susceptible-Infected-Recovered) epidemic models, focusing on different control
policies: vaccination, isolation, culling, and reduction of transmission.
Applying the Pontryagin's Minimum Principle (PMP) to the unconstrained control
problems (i.e. without costs o... | 0 | 0 | 1 | 0 | 0 | 0 |
On the validity of the formal Edgeworth expansion for posterior densities | We consider a fundamental open problem in parametric Bayesian theory, namely
the validity of the formal Edgeworth expansion of the posterior density. While
the study of valid asymptotic expansions for posterior distributions
constitutes a rich literature, the validity of the formal Edgeworth expansion
has not been ri... | 0 | 0 | 1 | 1 | 0 | 0 |
DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization | Adaptive gradient-based optimization methods such as ADAGRAD, RMSPROP, and
ADAM are widely used in solving large-scale machine learning problems including
deep learning. A number of schemes have been proposed in the literature aiming
at parallelizing them, based on communications of peripheral nodes with a
central no... | 1 | 0 | 0 | 1 | 0 | 0 |
Paramagnetic Meissner effect in ZrB12 single crystal with non-monotonic vortex-vortex interactions | The magnetic response related to paramagnetic Meissner effect (PME) is
studied in a high quality single crystal ZrB12 with non-monotonic vortex-vortex
interactions. We observe the expulsion and penetration of magnetic flux in the
form of vortex clusters with increasing temperature. A vortex phase diagram is
construct... | 0 | 1 | 0 | 0 | 0 | 0 |
Credal Networks under Epistemic Irrelevance | A credal network under epistemic irrelevance is a generalised type of
Bayesian network that relaxes its two main building blocks. On the one hand,
the local probabilities are allowed to be partially specified. On the other
hand, the assessments of independence do not have to hold exactly.
Conceptually, these two feat... | 1 | 0 | 1 | 0 | 0 | 0 |
Resonance fluorescence in the resolvent operator formalism | The Mollow spectrum for the light scattered by a driven two-level atom is
derived in the resolvent operator formalism. The derivation is based on the
construction of a master equation from the resolvent operator of the atom-field
system. We show that the natural linewidth of the excited atomic level remains
essential... | 0 | 1 | 0 | 0 | 0 | 0 |
On the the Berge Conjecture for tunnel number one knots | In this paper we use an approach based on dynamics to prove that if $K\subset
S^3$ is a tunnel number one knot which admits a Dehn filling resulting in a
lens space $L$ then $K$ is either a Berge knot, or $K\subset S^3$ is
$(1,1)$-knot.
| 0 | 0 | 1 | 0 | 0 | 0 |
EMRIs and the relativistic loss-cone: The curious case of the fortunate coincidence | Extreme mass ratio inspiral (EMRI) events are vulnerable to perturbations by
the stellar background, which can abort them prematurely by deflecting EMRI
orbits to plunging ones that fall directly into the massive black hole (MBH),
or to less eccentric ones that no longer interact strongly with the MBH. A
coincidental... | 0 | 1 | 0 | 0 | 0 | 0 |
Investigating the configurations in cross-shareholding: a joint copula-entropy approach | --- the companies populating a Stock market, along with their connections,
can be effectively modeled through a directed network, where the nodes
represent the companies, and the links indicate the ownership. This paper deals
with this theme and discusses the concentration of a market. A
cross-shareholding matrix is ... | 0 | 0 | 0 | 0 | 0 | 1 |
The Enemy Among Us: Detecting Hate Speech with Threats Based 'Othering' Language Embeddings | Offensive or antagonistic language targeted at individuals and social groups
based on their personal characteristics (also known as cyber hate speech or
cyberhate) has been frequently posted and widely circulated viathe World Wide
Web. This can be considered as a key risk factor for individual and societal
tension li... | 1 | 0 | 0 | 0 | 0 | 0 |
Linear Programming Formulations of Deterministic Infinite Horizon Optimal Control Problems in Discrete Time | This paper is devoted to a study of infinite horizon optimal control problems
with time discounting and time averaging criteria in discrete time. We
establish that these problems are related to certain infinite-dimensional
linear programming (IDLP) problems. We also establish asymptotic relationships
between the opti... | 0 | 0 | 1 | 0 | 0 | 0 |
Exact diagonalization of cubic lattice models in commensurate Abelian magnetic fluxes and translational invariant non-Abelian potentials | We present a general analytical formalism to determine the energy spectrum of
a quantum particle in a cubic lattice subject to translationally invariant
commensurate magnetic fluxes and in the presence of a general space-independent
non-Abelian gauge potential. We first review and analyze the case of purely
Abelian p... | 0 | 1 | 0 | 0 | 0 | 0 |
Non-normality, reactivity, and intrinsic stochasticity in neural dynamics: a non-equilibrium potential approach | Intrinsic stochasticity can induce highly non-trivial effects on dynamical
systems, including stochastic and coherence resonance, noise induced
bistability, noise-induced oscillations, to name but a few. In this paper we
revisit a mechanism first investigated in the context of neuroscience by which
relatively small d... | 0 | 0 | 0 | 0 | 1 | 0 |
Latent Gaussian Mixture Models for Nationwide Kidney Transplant Center Evaluation | Five year post-transplant survival rate is an important indicator on quality
of care delivered by kidney transplant centers in the United States. To provide
a fair assessment of each transplant center, an effect that represents the
center-specific care quality, along with patient level risk factors, is often
included... | 0 | 0 | 0 | 1 | 0 | 0 |
Small nonlinearities in activation functions create bad local minima in neural networks | We investigate the loss surface of neural networks. We prove that even for
one-hidden-layer networks with "slightest" nonlinearity, the empirical risks
have spurious local minima in most cases. Our results thus indicate that in
general "no spurious local minima" is a property limited to deep linear
networks, and insi... | 0 | 0 | 0 | 1 | 0 | 0 |
Poisson brackets with prescribed family of functions in involution | It is well known that functions in involution with respect to Poisson
brackets have a privileged role in the theory of completely integrable systems.
Finding functionally independent functions in involution with a given function
$h$ on a Poisson manifold is a fundamental problem of this theory and is very
useful for ... | 0 | 0 | 1 | 0 | 0 | 0 |
No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models | For decades, context-dependent phonemes have been the dominant sub-word unit
for conventional acoustic modeling systems. This status quo has begun to be
challenged recently by end-to-end models which seek to combine acoustic,
pronunciation, and language model components into a single neural network. Such
systems, whi... | 1 | 0 | 0 | 1 | 0 | 0 |
Stabilization Bounds for Linear Finite Dynamical Systems | A common problem to all applications of linear finite dynamical systems is
analyzing the dynamics without enumerating every possible state transition. Of
particular interest is the long term dynamical behaviour. In this paper, we
study the number of iterations needed for a system to settle on a fixed set of
elements.... | 0 | 0 | 1 | 0 | 0 | 0 |
Magneto-thermopower in the Weak Ferromagnetic Oxide CaRu0.8Sc0.2O3: An Experimental Test for the Kelvin Formula in a Magnetic Material | We have measured the resistivity, the thermopower, and the specific heat of
the weak ferromagnetic oxide CaRu0.8Sc0.2O3 in external magnetic fields up to
140 kOe below 80 K. We have observed that the thermopower Q is significantly
suppressed by magnetic fields at around the ferromagnetic transition
temperature of 30 ... | 0 | 1 | 0 | 0 | 0 | 0 |
Experimental Two-dimensional Quantum Walk on a Photonic Chip | Quantum walks, in virtue of the coherent superposition and quantum
interference, possess exponential superiority over its classical counterpart in
applications of quantum searching and quantum simulation. The quantum enhanced
power is highly related to the state space of quantum walks, which can be
expanded by enlarg... | 0 | 1 | 0 | 0 | 0 | 0 |
Dispersive Magnetic and Electronic Excitations in Iridate Perovskites Probed with Oxygen $K$-Edge Resonant Inelastic X-ray Scattering | Resonant inelastic X-ray scattering (RIXS) experiments performed at the
oxygen-$K$ edge on the iridate perovskites {\SIOS} and {\SION} reveal a
sequence of well-defined dispersive modes over the energy range up to $\sim
0.8$ eV. The momentum dependence of these modes and their variation with the
experimental geometry... | 0 | 1 | 0 | 0 | 0 | 0 |
Reaction-Diffusion Models for Glioma Tumor Growth | Mathematical modelling of tumor growth is one of the most useful and
inexpensive approaches to determine and predict the stage, size and progression
of tumors in realistic geometries. Moreover, these models has been used to get
an insight into cancer growth and invasion and in the analysis of tumor size
and geometry ... | 0 | 1 | 0 | 0 | 0 | 0 |
On reducing the communication cost of the diffusion LMS algorithm | The rise of digital and mobile communications has recently made the world
more connected and networked, resulting in an unprecedented volume of data
flowing between sources, data centers, or processes. While these data may be
processed in a centralized manner, it is often more suitable to consider
distributed strateg... | 1 | 0 | 0 | 1 | 0 | 0 |
Teaching computer code at school | In today's education systems, there is a deep concern about the importance of
teaching code and computer programming in schools. Moving digital learning from
a simple use of tools to understanding the processes of the internal
functioning of these tools is an old / new debate originated with the digital
laboratories ... | 1 | 0 | 0 | 0 | 0 | 0 |
Statistical Inference on Panel Data Models: A Kernel Ridge Regression Method | We propose statistical inferential procedures for panel data models with
interactive fixed effects in a kernel ridge regression framework.Compared with
traditional sieve methods, our method is automatic in the sense that it does
not require the choice of basis functions and truncation parameters.Model
complexity is c... | 0 | 0 | 1 | 1 | 0 | 0 |
Nonconvex penalties with analytical solutions for one-bit compressive sensing | One-bit measurements widely exist in the real world, and they can be used to
recover sparse signals. This task is known as the problem of learning
halfspaces in learning theory and one-bit compressive sensing (1bit-CS) in
signal processing. In this paper, we propose novel algorithms based on both
convex and nonconvex... | 1 | 0 | 0 | 1 | 0 | 0 |
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets | The computational complexity of kernel methods has often been a major barrier
for applying them to large-scale learning problems. We argue that this barrier
can be effectively overcome. In particular, we develop methods to scale up
kernel models to successfully tackle large-scale learning problems that are so
far onl... | 1 | 0 | 0 | 0 | 0 | 0 |
Benchmarking Automatic Machine Learning Frameworks | AutoML serves as the bridge between varying levels of expertise when
designing machine learning systems and expedites the data science process. A
wide range of techniques is taken to address this, however there does not exist
an objective comparison of these techniques. We present a benchmark of current
open source A... | 0 | 0 | 0 | 1 | 0 | 0 |
Layered Based Augmented Complex Kalman Filter for Fast Forecasting-Aided State Estimation of Distribution Networks | In the presence of renewable resources, distribution networks have become
extremely complex to monitor, operate and control. Furthermore, for the real
time applications, active distribution networks require fast real time
distribution state estimation (DSE). Forecasting aided state estimator (FASE),
deploys measured ... | 0 | 0 | 0 | 1 | 0 | 0 |
Multiscale mixing patterns in networks | Assortative mixing in networks is the tendency for nodes with the same
attributes, or metadata, to link to each other. It is a property often found in
social networks manifesting as a higher tendency of links occurring between
people with the same age, race, or political belief. Quantifying the level of
assortativity... | 1 | 0 | 0 | 0 | 0 | 0 |
Single-Queue Decoding for Neural Machine Translation | Neural machine translation models rely on the beam search algorithm for
decoding. In practice, we found that the quality of hypotheses in the search
space is negatively affected owing to the fixed beam size. To mitigate this
problem, we store all hypotheses in a single priority queue and use a universal
score functio... | 1 | 0 | 0 | 0 | 0 | 0 |
Simulation of Parabolic Flow on an Eye-Shaped Domain with Moving Boundary | During the upstroke of a normal eye blink, the upper lid moves and paints a
thin tear film over the exposed corneal and conjunctival surfaces. This thin
tear film may be modeled by a nonlinear fourth-order PDE derived from
lubrication theory. A challenge in the numerical simulation of this model is to
include both th... | 0 | 0 | 1 | 0 | 0 | 0 |
Faster algorithms for 1-mappability of a sequence | In the k-mappability problem, we are given a string x of length n and
integers m and k, and we are asked to count, for each length-m factor y of x,
the number of other factors of length m of x that are at Hamming distance at
most k from y. We focus here on the version of the problem where k = 1. The
fastest known alg... | 1 | 0 | 0 | 0 | 0 | 0 |
PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network | Music creation is typically composed of two parts: composing the musical
score, and then performing the score with instruments to make sounds. While
recent work has made much progress in automatic music generation in the
symbolic domain, few attempts have been made to build an AI model that can
render realistic music... | 1 | 0 | 0 | 0 | 0 | 0 |
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