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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Predicting signatures of anisotropic resonance energy transfer in dye-functionalized nanoparticles | Resonance energy transfer (RET) is an inherently anisotropic process. Even
the simplest, well-known Förster theory, based on the transition
dipole-dipole coupling, implicitly incorporates the anisotropic character of
RET. In this theoretical work, we study possible signatures of the fundamental
anisotropic character ... | 0 | 1 | 0 | 0 | 0 | 0 |
Matrix Completion and Performance Guarantees for Single Individual Haplotyping | Single individual haplotyping is an NP-hard problem that emerges when
attempting to reconstruct an organism's inherited genetic variations using data
typically generated by high-throughput DNA sequencing platforms. Genomes of
diploid organisms, including humans, are organized into homologous pairs of
chromosomes that... | 0 | 0 | 0 | 1 | 1 | 0 |
Simulation and analysis of $γ$-Ni cellular growth during laser powder deposition of Ni-based superalloys | Cellular or dendritic microstructures that result as a function of additive
manufacturing solidification conditions in a Ni-based melt pool are simulated
in the present work using three-dimensional phase-field simulations. A
macroscopic thermal model is used to obtain the temperature gradient $G$ and
the solidificati... | 0 | 1 | 0 | 0 | 0 | 0 |
Localization of Extended Quantum Objects | A quantum system of particles can exist in a localized phase, exhibiting
ergodicity breaking and maintaining forever a local memory of its initial
conditions. We generalize this concept to a system of extended objects, such as
strings and membranes, arguing that such a system can also exhibit localization
in the pres... | 0 | 1 | 0 | 0 | 0 | 0 |
The next-to-minimal weights of binary projective Reed-Muller codes | Projective Reed-Muller codes were introduced by Lachaud, in 1988 and their
dimension and minimum distance were determined by Serre and S{\o}rensen in
1991. In coding theory one is also interested in the higher Hamming weights, to
study the code performance. Yet, not many values of the higher Hamming weights
are known... | 1 | 0 | 1 | 0 | 0 | 0 |
Big Data Classification Using Augmented Decision Trees | We present an algorithm for classification tasks on big data. Experiments
conducted as part of this study indicate that the algorithm can be as accurate
as ensemble methods such as random forests or gradient boosted trees. Unlike
ensemble methods, the models produced by the algorithm can be easily
interpreted. The al... | 1 | 0 | 0 | 1 | 0 | 0 |
Special tilting modules for algebras with positive dominant dimension | We study a set of uniquely determined tilting and cotilting modules for an
algebra with positive dominant dimension, with the property that they are
generated or cogenerated (and usually both) by projective-injectives. These
modules have various interesting properties, for example that their
endomorphism algebras alw... | 0 | 0 | 1 | 0 | 0 | 0 |
The dynamical structure of political corruption networks | Corruptive behaviour in politics limits economic growth, embezzles public
funds, and promotes socio-economic inequality in modern democracies. We analyse
well-documented political corruption scandals in Brazil over the past 27 years,
focusing on the dynamical structure of networks where two individuals are
connected ... | 1 | 0 | 0 | 1 | 0 | 0 |
Maxent-Stress Optimization of 3D Biomolecular Models | Knowing a biomolecule's structure is inherently linked to and a prerequisite
for any detailed understanding of its function. Significant effort has gone
into developing technologies for structural characterization. These
technologies do not directly provide 3D structures; instead they typically
yield noisy and errone... | 1 | 1 | 0 | 0 | 0 | 0 |
Enhanced Quantum Synchronization via Quantum Machine Learning | We study the quantum synchronization between a pair of two-level systems
inside two coupled cavities. By using a digital-analog decomposition of the
master equation that rules the system dynamics, we show that this approach
leads to quantum synchronization between both two-level systems. Moreover, we
can identify in ... | 1 | 0 | 0 | 1 | 0 | 0 |
Engineering phonon leakage in nanomechanical resonators | We propose and experimentally demonstrate a technique for coupling phonons
out of an optomechanical crystal cavity. By designing a perturbation that
breaks a symmetry in the elastic structure, we selectively induce phonon
leakage without affecting the optical properties. It is shown experimentally
via cryogenic measu... | 0 | 1 | 0 | 0 | 0 | 0 |
Entropy generation and momentum transfer in the superconductor-normal and normal-superconductor phase transformations and the consistency of the conventional theory of superconductivity | Since the discovery of the Meissner effect the superconductor to normal (S-N)
phase transition in the presence of a magnetic field is understood to be a
first order phase transformation that is reversible under ideal conditions and
obeys the laws of thermodynamics. The reverse (N-S) transition is the Meissner
effect.... | 0 | 1 | 0 | 0 | 0 | 0 |
A Local Faber-Krahn inequality and Applications to Schrödinger's Equation | We prove a local Faber-Krahn inequality for solutions $u$ to the Dirichlet
problem for $\Delta + V$ on an arbitrary domain $\Omega$ in $\mathbb{R}^n$.
Suppose a solution $u$ assumes a global maximum at some point $x_0 \in \Omega$
and $u(x_0)>0$. Let $T(x_0)$ be the smallest time at which a Brownian motion,
started at... | 0 | 0 | 1 | 0 | 0 | 0 |
Étale groupoids and their $C^*$-algebras | These notes were written as supplementary material for a five-hour lecture
series presented at the Centre de Recerca Mathemàtica at the Universitat
Autònoma de Barcelona from the 13th to the 17th of March 2017. The intention
of these notes is to give a brief overview of some key topics in the area of
$C^*$-algebras a... | 0 | 0 | 1 | 0 | 0 | 0 |
Semi-classical limit of the Levy-Lieb functional in Density Functional Theory | In a recent work, Bindini and De Pascale have introduced a regularization of
$N$-particle symmetric probabilities which preserves their one-particle
marginals. In this short note, we extend their construction to mixed quantum
fermionic states. This enables us to prove the convergence of the Levy-Lieb
functional in De... | 0 | 1 | 1 | 0 | 0 | 0 |
A characterization of cellular motivic spectra | Let $ \alpha: \mathcal{C} \to \mathcal{D}$ be a symmetric monoidal functor
from a stable presentable symmetric monoidal $\infty$-category $\mathcal{C} $
compactly generated by the tensorunit to a stable presentable symmetric
monoidal $\infty$-category $ \mathcal{D} $ with compact tensorunit. Let $\beta:
\mathcal{D} \... | 0 | 0 | 1 | 0 | 0 | 0 |
The Impedance of Flat Metallic Plates with Small Corrugations | Summarizes recent work on the wakefields and impedances of flat, metallic
plates with small corrugations
| 0 | 1 | 0 | 0 | 0 | 0 |
The Computer Science and Physics of Community Detection: Landscapes, Phase Transitions, and Hardness | Community detection in graphs is the problem of finding groups of vertices
which are more densely connected than they are to the rest of the graph. This
problem has a long history, but it is undergoing a resurgence of interest due
to the need to analyze social and biological networks. While there are many
ways to for... | 1 | 1 | 1 | 0 | 0 | 0 |
Characterizing the spread of exaggerated news content over social media | In this paper, we consider a dataset comprising press releases about health
research from different universities in the UK along with a corresponding set
of news articles. First, we do an exploratory analysis to understand how the
basic information published in the scientific journals get exaggerated as they
are repo... | 1 | 0 | 0 | 0 | 0 | 0 |
Aerodynamic noise from rigid trailing edges with finite porous extensions | This paper investigates the effects of finite flat porous extensions to
semi-infinite impermeable flat plates in an attempt to control trailing-edge
noise through bio-inspired adaptations. Specifically the problem of sound
generated by a gust convecting in uniform mean steady flow scattering off the
trailing edge and... | 0 | 1 | 1 | 0 | 0 | 0 |
99% of Parallel Optimization is Inevitably a Waste of Time | It is well known that many optimization methods, including SGD, SAGA, and
Accelerated SGD for over-parameterized models, do not scale linearly in the
parallel setting. In this paper, we present a new version of block coordinate
descent that solves this issue for a number of methods. The core idea is to
make the sampl... | 1 | 0 | 0 | 1 | 0 | 0 |
Tuning the effective spin-orbit coupling in molecular semiconductors | The control of spins and spin to charge conversion in organics requires
understanding the molecular spin-orbit coupling (SOC), and a means to tune its
strength. However, quantifying SOC strengths indirectly through spin relaxation
effects has proven diffi- cult due to competing relaxation mechanisms. Here we
present ... | 0 | 1 | 0 | 0 | 0 | 0 |
How Deep Are Deep Gaussian Processes? | Recent research has shown the potential utility of Deep Gaussian Processes.
These deep structures are probability distributions, designed through
hierarchical construction, which are conditionally Gaussian. In this paper, the
current published body of work is placed in a common framework and, through
recursion, sever... | 0 | 0 | 1 | 1 | 0 | 0 |
Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors | While single measurement vector (SMV) models have been widely studied in
signal processing, there is a surging interest in addressing the multiple
measurement vectors (MMV) problem. In the MMV setting, more than one
measurement vector is available and the multiple signals to be recovered share
some commonalities such... | 1 | 0 | 0 | 0 | 0 | 0 |
Exploiting ITO colloidal nanocrystals for ultrafast pulse generation | Dynamical materials that capable of responding to optical stimuli have always
been pursued for designing novel photonic devices and functionalities, of which
the response speed and amplitude as well as integration adaptability and energy
effectiveness are especially critical. Here we show ultrafast pulse generation
b... | 0 | 1 | 0 | 0 | 0 | 0 |
A quantum dynamic belief model to explain the interference effects of categorization on decision making | Categorization is necessary for many decision making tasks. However, the
categorization process may interfere the decision making result and the law of
total probability can be violated in some situations. To predict the
interference effect of categorization, some model based on quantum probability
has been proposed.... | 1 | 0 | 0 | 0 | 0 | 0 |
Throughput Optimal Beam Alignment in Millimeter Wave Networks | Millimeter wave communications rely on narrow-beam transmissions to cope with
the strong signal attenuation at these frequencies, thus demanding precise beam
alignment between transmitter and receiver. The communication overhead incurred
to achieve beam alignment may become a severe impairment in mobile networks.
Thi... | 1 | 0 | 0 | 0 | 0 | 0 |
Behavioural Change Support Intelligent Transportation Applications | This workshop invites researchers and practitioners to participate in
exploring behavioral change support intelligent transportation applications. We
welcome submissions that explore intelligent transportation systems (ITS),
which interact with travelers in order to persuade them or nudge them towards
sustainable tra... | 1 | 0 | 0 | 0 | 0 | 0 |
SU(2) Pfaffian systems and gauge theory | Motivated by the description of Nurowski's conformal structure for maximally
symmetric homogeneous examples of bracket-generating rank 2 distributions in
dimension 5, aka $(2,3,5)$-distributions, we consider a rank $3$ Pfaffian
system in dimension 5 with $SU(2)$ symmetry. We find the conditions for which
this Pfaffia... | 0 | 0 | 1 | 0 | 0 | 0 |
Correlation effects in superconducting quantum dot systems | We study the effect of electron correlations on a system consisting of a
single-level quantum dot with local Coulomb interaction attached to two
superconducting leads. We use the single-impurity Anderson model with BCS
superconducting baths to study the interplay between the proximity induced
electron pairing and the... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning non-parametric Markov networks with mutual information | We propose a method for learning Markov network structures for continuous
data without invoking any assumptions about the distribution of the variables.
The method makes use of previous work on a non-parametric estimator for mutual
information which is used to create a non-parametric test for multivariate
conditional... | 1 | 0 | 0 | 1 | 0 | 0 |
Online Adaptive Machine Learning Based Algorithm for Implied Volatility Surface Modeling | In this work, we design a machine learning based method, online adaptive
primal support vector regression (SVR), to model the implied volatility surface
(IVS). The algorithm proposed is the first derivation and implementation of an
online primal kernel SVR. It features enhancements that allow efficient online
adaptiv... | 1 | 0 | 0 | 1 | 0 | 0 |
Hybrid control strategy for a semi active suspension system using fuzzy logic and bio-inspired chaotic fruit fly algorithm | This study proposes a control strategy for the efficient semi active
suspension systems utilizing a novel hybrid PID-fuzzy logic control scheme .In
the control architecture, we employ the Chaotic Fruit Fly Algorithm for PID
tuning since it can avoid local minima by chaotic search. A novel linguistic
rule based fuzzy ... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms | We demonstrate that, for a range of state-of-the-art machine learning
algorithms, the differences in generalisation performance obtained using
default parameter settings and using parameters tuned via cross-validation can
be similar in magnitude to the differences in performance observed between
state-of-the-art and ... | 1 | 0 | 0 | 1 | 0 | 0 |
Coaction functors, II | In further study of the application of crossed-product functors to the
Baum-Connes Conjecture, Buss, Echterhoff, and Willett introduced various other
properties that crossed-product functors may have. Here we introduce and study
analogues of these properties for coaction functors, making sure that the
properties are ... | 0 | 0 | 1 | 0 | 0 | 0 |
Classification of Casimirs in 2D hydrodynamics | We describe a complete list of Casimirs for 2D Euler hydrodynamics on a
surface without boundary: we define generalized enstrophies which, along with
circulations, form a complete set of invariants for coadjoint orbits of
area-preserving diffeomorphisms on a surface. We also outline a possible
extension of main notio... | 0 | 1 | 1 | 0 | 0 | 0 |
Novel Compliant omnicrawler-wheel transforming module | This paper presents a novel design of a crawler robot which is capable of
transforming its chassis from an Omni crawler mode to a large-sized wheel mode
using a novel mechanism. The transformation occurs without any additional
actuators. Interestingly the robot can transform into a large diameter and
small width whee... | 1 | 0 | 0 | 0 | 0 | 0 |
Bifurcation of solutions to Hamiltonian boundary value problems | A bifurcation is a qualitative change in a family of solutions to an equation
produced by varying parameters. In contrast to the local bifurcations of
dynamical systems that are often related to a change in the number or stability
of equilibria, bifurcations of boundary value problems are global in nature and
may not... | 0 | 0 | 1 | 0 | 0 | 0 |
Trespassing the Boundaries: Labeling Temporal Bounds for Object Interactions in Egocentric Video | Manual annotations of temporal bounds for object interactions (i.e. start and
end times) are typical training input to recognition, localization and
detection algorithms. For three publicly available egocentric datasets, we
uncover inconsistencies in ground truth temporal bounds within and across
annotators and datas... | 1 | 0 | 0 | 0 | 0 | 0 |
Dynamical transport measurement of the Luttinger parameter in helical edges states of 2D topological insulators | One-dimensional (1D) electron systems in the presence of Coulomb interaction
are described by Luttinger liquid theory. The strength of Coulomb interaction
in the Luttinger liquid, as parameterized by the Luttinger parameter K, is in
general difficult to measure. This is because K is usually hidden in powerlaw
depende... | 0 | 1 | 0 | 0 | 0 | 0 |
Controlling thermal emission of phonon by magnetic metasurfaces | Our experiment shows that the thermal emission of phonon can be controlled by
magnetic resonance (MR) mode in a metasurface (MTS). Through changing the
structural parameter of metasurface, the MR wavelength can be tuned to the
phonon resonance wavelength. This introduces a strong coupling between phonon
and MR, which... | 0 | 1 | 0 | 0 | 0 | 0 |
Distributed Average Tracking of Heterogeneous Physical Second-order Agents With No Input Signals Constraint | This paper addresses distributed average tracking of physical second-order
agents with heterogeneous nonlinear dynamics, where there is no constraint on
input signals. The nonlinear terms in agents' dynamics are heterogeneous,
satisfying a Lipschitz-like condition that will be defined later and is more
general than t... | 0 | 0 | 1 | 0 | 0 | 0 |
Bound states of the two-dimensional Dirac equation for an energy-dependent hyperbolic Scarf potential | We study the two-dimensional massless Dirac equation for a potential that is
allowed to depend on the energy and on one of the spatial variables. After
determining a modified orthogonality relation and norm for such systems, we
present an application involving an energy-dependent version of the hyperbolic
Scarf poten... | 0 | 1 | 0 | 0 | 0 | 0 |
Beyond Planar Symmetry: Modeling human perception of reflection and rotation symmetries in the wild | Humans take advantage of real world symmetries for various tasks, yet
capturing their superb symmetry perception mechanism with a computational model
remains elusive. Motivated by a new study demonstrating the extremely high
inter-person accuracy of human perceived symmetries in the wild, we have
constructed the firs... | 1 | 0 | 0 | 1 | 0 | 0 |
Sharp Threshold of Blow-up and Scattering for the fractional Hartree equation | We consider the fractional Hartree equation in the $L^2$-supercritical case,
and we find a sharp threshold of the scattering versus blow-up dichotomy for
radial data: If $
M[u_{0}]^{\frac{s-s_c}{s_c}}E[u_{0}<M[Q]^{\frac{s-s_c}{s_c}}E[Q]$ and
$M[u_{0}]^{\frac{s-s_c}{s_c}}\|u_{0}\|^2_{\dot H^s}<M[Q]^{\frac{s-s_c}{s_c}}... | 0 | 0 | 1 | 0 | 0 | 0 |
GP-SUM. Gaussian Processes Filtering of non-Gaussian Beliefs | This work studies the problem of stochastic dynamic filtering and state
propagation with complex beliefs. The main contribution is GP-SUM, a filtering
algorithm tailored to dynamic systems and observation models expressed as
Gaussian Processes (GP), and to states represented as a weighted sum of
Gaussians. The key at... | 1 | 0 | 0 | 1 | 0 | 0 |
A Dynamic Programming Principle for Distribution-Constrained Optimal Stopping | We consider an optimal stopping problem where a constraint is placed on the
distribution of the stopping time. Reformulating the problem in terms of
so-called measure-valued martingales allows us to transform the marginal
constraint into an initial condition and view the problem as a stochastic
control problem; we es... | 0 | 0 | 1 | 0 | 0 | 0 |
Spectral algebra models of unstable v_n-periodic homotopy theory | We give a survey of a generalization of Quillen-Sullivan rational homotopy
theory which gives spectral algebra models of unstable v_n-periodic homotopy
types. In addition to describing and contextualizing our original approach, we
sketch two other recent approaches which are of a more conceptual nature, due
to Arone-... | 0 | 0 | 1 | 0 | 0 | 0 |
The length of excitable knots | The FitzHugh-Nagumo equation provides a simple mathematical model of cardiac
tissue as an excitable medium hosting spiral wave vortices. Here we present
extensive numerical simulations studying long-term dynamics of knotted vortex
string solutions for all torus knots up to crossing number 11. We demonstrate
that Fitz... | 0 | 1 | 1 | 0 | 0 | 0 |
The Bane of Low-Dimensionality Clustering | In this paper, we give a conditional lower bound of $n^{\Omega(k)}$ on
running time for the classic k-median and k-means clustering objectives (where
n is the size of the input), even in low-dimensional Euclidean space of
dimension four, assuming the Exponential Time Hypothesis (ETH). We also
consider k-median (and k... | 1 | 0 | 0 | 0 | 0 | 0 |
Blue-detuned magneto-optical trap | We present the properties and advantages of a new magneto-optical trap (MOT)
where blue-detuned light drives `type-II' transitions that have dark ground
states. Using $^{87}$Rb, we reach a radiation-pressure-limited density
exceeding $10^{11}$cm$^{-3}$ and a temperature below 30$\mu$K. The phase-space
density is high... | 0 | 1 | 0 | 0 | 0 | 0 |
Polishness of some topologies related to word or tree automata | We prove that the Büchi topology and the automatic topology are Polish. We
also show that this cannot be fully extended to the case of a space of infinite
labelled binary trees; in particular the Büchi and the Muller topologies are
not Polish in this case.
| 1 | 0 | 1 | 0 | 0 | 0 |
Emulating satellite drag from large simulation experiments | Obtaining accurate estimates of satellite drag coefficients in low Earth
orbit is a crucial component in positioning and collision avoidance. Simulators
can produce accurate estimates, but their computational expense is much too
large for real-time application. A pilot study showed that Gaussian process
(GP) surrogat... | 0 | 0 | 0 | 1 | 0 | 0 |
Rescaling and other forms of unsupervised preprocessing introduce bias into cross-validation | Cross-validation of predictive models is the de-facto standard for model
selection and evaluation. In proper use, it provides an unbiased estimate of a
model's predictive performance. However, data sets often undergo a preliminary
data-dependent transformation, such as feature rescaling or dimensionality
reduction, p... | 1 | 0 | 0 | 1 | 0 | 0 |
Causal Inference on Discrete Data via Estimating Distance Correlations | In this paper, we deal with the problem of inferring causal directions when
the data is on discrete domain. By considering the distribution of the cause
$P(X)$ and the conditional distribution mapping cause to effect $P(Y|X)$ as
independent random variables, we propose to infer the causal direction via
comparing the ... | 0 | 0 | 0 | 1 | 0 | 0 |
A Class of Exponential Sequences with Shift-Invariant Discriminators | The discriminator of an integer sequence s = (s(i))_{i>=0}, introduced by
Arnold, Benkoski, and McCabe in 1985, is the function D_s(n) that sends n to
the least integer m such that the numbers s(0), s(1), ..., s(n-1) are pairwise
incongruent modulo m. In this note we present a class of exponential sequences
that have... | 1 | 0 | 1 | 0 | 0 | 0 |
Contraction par Frobenius et modules de Steinberg | For a reductive group G defined over an algebraically closed field of
positive characteristic, we show that the Frobenius contraction functor of
G-modules is right adjoint to the Frobenius twist of the modules tensored with
the Steinberg module twice. It follows that the Frobenius contraction functor
preserves inject... | 0 | 0 | 1 | 0 | 0 | 0 |
SafeDrive: A Robust Lane Tracking System for Autonomous and Assisted Driving Under Limited Visibility | We present an approach towards robust lane tracking for assisted and
autonomous driving, particularly under poor visibility. Autonomous detection of
lane markers improves road safety, and purely visual tracking is desirable for
widespread vehicle compatibility and reducing sensor intrusion, cost, and
energy consumpti... | 1 | 0 | 0 | 0 | 0 | 0 |
On the analysis of personalized medication response and classification of case vs control patients in mobile health studies: the mPower case study | In this work we provide a couple of contributions to the analysis of
longitudinal data collected by smartphones in mobile health applications.
First, we propose a novel statistical approach to disentangle personalized
treatment and "time-of-the-day" effects in observational studies. Under the
assumption of no unmeasu... | 0 | 0 | 0 | 1 | 0 | 0 |
Exponential Integrators in Time-Dependent Density Functional Calculations | The integrating factor and exponential time differencing methods are
implemented and tested for solving the time-dependent Kohn--Sham equations.
Popular time propagation methods used in physics, as well as other robust
numerical approaches, are compared to these exponential integrator methods in
order to judge the re... | 0 | 1 | 0 | 0 | 0 | 0 |
A Distributed Scheduling Algorithm to Provide Quality-of-Service in Multihop Wireless Networks | Control of multihop Wireless networks in a distributed manner while providing
end-to-end delay requirements for different flows, is a challenging problem.
Using the notions of Draining Time and Discrete Review from the theory of fluid
limits of queues, an algorithm that meets delay requirements to various flows
in a ... | 1 | 0 | 0 | 0 | 0 | 0 |
A Multi-task Deep Learning Architecture for Maritime Surveillance using AIS Data Streams | In a world of global trading, maritime safety, security and efficiency are
crucial issues. We propose a multi-task deep learning framework for vessel
monitoring using Automatic Identification System (AIS) data streams. We combine
recurrent neural networks with latent variable modeling and an embedding of AIS
messages... | 0 | 0 | 0 | 1 | 0 | 0 |
The CCI30 Index | We describe the design of the CCI30 cryptocurrency index.
| 0 | 0 | 0 | 0 | 0 | 1 |
Training Probabilistic Spiking Neural Networks with First-to-spike Decoding | Third-generation neural networks, or Spiking Neural Networks (SNNs), aim at
harnessing the energy efficiency of spike-domain processing by building on
computing elements that operate on, and exchange, spikes. In this paper, the
problem of training a two-layer SNN is studied for the purpose of
classification, under a ... | 1 | 0 | 0 | 1 | 0 | 0 |
An Effective Training Method For Deep Convolutional Neural Network | In this paper, we propose the nonlinearity generation method to speed up and
stabilize the training of deep convolutional neural networks. The proposed
method modifies a family of activation functions as nonlinearity generators
(NGs). NGs make the activation functions linear symmetric for their inputs to
lower model ... | 1 | 0 | 0 | 1 | 0 | 0 |
A Multi-Layer K-means Approach for Multi-Sensor Data Pattern Recognition in Multi-Target Localization | Data-target association is an important step in multi-target localization for
the intelligent operation of un- manned systems in numerous applications such
as search and rescue, traffic management and surveillance. The objective of
this paper is to present an innovative data association learning approach named
multi-... | 1 | 0 | 0 | 1 | 0 | 0 |
Investigation of Monaural Front-End Processing for Robust ASR without Retraining or Joint-Training | In recent years, monaural speech separation has been formulated as a
supervised learning problem, which has been systematically researched and shown
the dramatical improvement of speech intelligibility and quality for human
listeners. However, it has not been well investigated whether the methods can
be employed as t... | 1 | 0 | 0 | 0 | 0 | 0 |
Average treatment effects in the presence of unknown interference | We investigate large-sample properties of treatment effect estimators under
unknown interference in randomized experiments. The inferential target is a
generalization of the average treatment effect estimand that marginalizes over
potential spillover effects. We show that estimators commonly used to estimate
treatmen... | 0 | 0 | 1 | 1 | 0 | 0 |
Spatial localization for nonlinear dynamical stochastic models for excitable media | Nonlinear dynamical stochastic models are ubiquitous in different areas.
Excitable media models are typical examples with large state dimensions. Their
statistical properties are often of great interest but are also very
challenging to compute. In this article, a theoretical framework to understand
the spatial locali... | 0 | 0 | 1 | 1 | 0 | 0 |
Nonlinear photoionization of transparent solids: a nonperturbative theory obeying selection rules | We provide a nonperturbative theory for photoionization of transparent
solids. By applying a particular steepest-descent method, we derive analytical
expressions for the photoionization rate within the two-band structure model,
which consistently account for the $selection$ $rules$ related to the parity of
the number... | 0 | 1 | 0 | 0 | 0 | 0 |
Quantifying the Model Risk Inherent in the Calibration and Recalibration of Option Pricing Models | We focus on two particular aspects of model risk: the inability of a chosen
model to fit observed market prices at a given point in time (calibration
error) and the model risk due to recalibration of model parameters (in
contradiction to the model assumptions). In this context, we follow the
approach of Glasserman an... | 0 | 0 | 0 | 0 | 0 | 1 |
CN rings in full protoplanetary disks around young stars as probes of disk structure | Bright ring-like structure emission of the CN molecule has been observed in
protoplanetary disks. We investigate whether such structures are due to the
morphology of the disk itself or if they are instead an intrinsic feature of CN
emission. With the intention of using CN as a diagnostic, we also address to
which phy... | 0 | 1 | 0 | 0 | 0 | 0 |
A Trio Neural Model for Dynamic Entity Relatedness Ranking | Measuring entity relatedness is a fundamental task for many natural language
processing and information retrieval applications. Prior work often studies
entity relatedness in static settings and an unsupervised manner. However,
entities in real-world are often involved in many different relationships,
consequently en... | 0 | 0 | 0 | 1 | 0 | 0 |
Dynamic k-Struve Sumudu Solutions for Fractional Kinetic Equations | In this present study, we investigate solutions for fractional kinetic
equations, involving k-Struve functions using Sumudu transform. The methodology
and results can be considered and applied to various related fractional
problems in mathematical physics.
| 0 | 0 | 1 | 0 | 0 | 0 |
Does mitigating ML's impact disparity require treatment disparity? | Following related work in law and policy, two notions of disparity have come
to shape the study of fairness in algorithmic decision-making. Algorithms
exhibit treatment disparity if they formally treat members of protected
subgroups differently; algorithms exhibit impact disparity when outcomes differ
across subgroup... | 1 | 0 | 0 | 1 | 0 | 0 |
Topological Terms and Phases of Sigma Models | We study boundary conditions of topological sigma models with the goal of
generalizing the concepts of anomalous symmetry and symmetry protected
topological order. We find a version of 't Hooft's anomaly matching conditions
on the renormalization group flow of boundaries of invertible topological sigma
models and dis... | 0 | 1 | 0 | 0 | 0 | 0 |
A commuting-vector-field approach to some dispersive estimates | We prove the pointwise decay of solutions to three linear equations: (i) the
transport equation in phase space generalizing the classical Vlasov equation,
(ii) the linear Schrodinger equation, (iii) the Airy (linear KdV) equation. The
usual proofs use explicit representation formulae, and either obtain
$L^1$---$L^\in... | 0 | 0 | 1 | 0 | 0 | 0 |
The connected countable spaces of Bing and Ritter are topologically homogeneous | Answering a problem posed by the second author on Mathoverflow, we prove that
the connected countable Hausdorff spaces constructed by Bing and Ritter are
topologically homogeneous.
| 0 | 0 | 1 | 0 | 0 | 0 |
Dynamic Graph Convolutional Networks | Many different classification tasks need to manage structured data, which are
usually modeled as graphs. Moreover, these graphs can be dynamic, meaning that
the vertices/edges of each graph may change during time. Our goal is to jointly
exploit structured data and temporal information through the use of a neural
netw... | 1 | 0 | 0 | 1 | 0 | 0 |
Robust and Efficient Parametric Spectral Estimation in Atomic Force Microscopy | An atomic force microscope (AFM) is capable of producing ultra-high
resolution measurements of nanoscopic objects and forces. It is an
indispensable tool for various scientific disciplines such as molecular
engineering, solid-state physics, and cell biology. Prior to a given
experiment, the AFM must be calibrated by ... | 0 | 0 | 0 | 1 | 0 | 0 |
A Robotic Auto-Focus System based on Deep Reinforcement Learning | Considering its advantages in dealing with high-dimensional visual input and
learning control policies in discrete domain, Deep Q Network (DQN) could be an
alternative method of traditional auto-focus means in the future. In this
paper, based on Deep Reinforcement Learning, we propose an end-to-end approach
that can ... | 1 | 0 | 0 | 0 | 0 | 0 |
Wall modeling via function enrichment: extension to detached-eddy simulation | We extend the approach of wall modeling via function enrichment to
detached-eddy simulation. The wall model aims at using coarse cells in the
near-wall region by modeling the velocity profile in the viscous sublayer and
log-layer. However, unlike other wall models, the full Navier-Stokes equations
are still discretel... | 0 | 1 | 0 | 0 | 0 | 0 |
Existence and uniqueness of periodic solution of nth-order Equations with delay in Banach space having Fourier type | The aim of this work is to study the existence of a periodic solutions of
nth-order differential equations with delay d dt x(t) + d 2 dt 2 x(t) + d 3 dt
3 x(t) + ... + d n dt n x(t) = Ax(t) + L(xt) + f (t). Our approach is based on
the M-boundedness of linear operators, Fourier type, B s p,q-multipliers and
Besov spa... | 0 | 0 | 1 | 0 | 0 | 0 |
A proof of Hilbert's theorem on ternary quartic forms with the ladder technique | This paper proposes a totally constructive approach for the proof of
Hilbert's theorem on ternary quartic forms. The main contribution is the ladder
technique, with which the Hilbert's theorem is proved vividly.
| 1 | 0 | 1 | 0 | 0 | 0 |
Data-driven Job Search Engine Using Skills and Company Attribute Filters | According to a report online, more than 200 million unique users search for
jobs online every month. This incredibly large and fast growing demand has
enticed software giants such as Google and Facebook to enter this space, which
was previously dominated by companies such as LinkedIn, Indeed and
CareerBuilder. Recent... | 1 | 0 | 0 | 0 | 0 | 0 |
The universal DAHA of type $(C_1^\vee,C_1)$ and Leonard pairs of $q$-Racah type | A Leonard pair is a pair of diagonalizable linear transformations of a
finite-dimensional vector space, each of which acts in an irreducible
tridiagonal fashion on an eigenbasis for the other one. Let $\mathbb F$ denote
an algebraically closed field, and fix a nonzero $q \in \mathbb F$ that is not
a root of unity. Th... | 0 | 0 | 1 | 0 | 0 | 0 |
Deep Learning for Computational Chemistry | The rise and fall of artificial neural networks is well documented in the
scientific literature of both computer science and computational chemistry. Yet
almost two decades later, we are now seeing a resurgence of interest in deep
learning, a machine learning algorithm based on multilayer neural networks.
Within the ... | 1 | 0 | 0 | 1 | 0 | 0 |
Causal Interventions for Fairness | Most approaches in algorithmic fairness constrain machine learning methods so
the resulting predictions satisfy one of several intuitive notions of fairness.
While this may help private companies comply with non-discrimination laws or
avoid negative publicity, we believe it is often too little, too late. By the
time ... | 0 | 0 | 0 | 1 | 0 | 0 |
Analyzing Hypersensitive AI: Instability in Corporate-Scale Machine Learning | Predictive geometric models deliver excellent results for many Machine
Learning use cases. Despite their undoubted performance, neural predictive
algorithms can show unexpected degrees of instability and variance,
particularly when applied to large datasets. We present an approach to measure
changes in geometric mode... | 0 | 0 | 0 | 1 | 0 | 0 |
Role of the orbital degree of freedom in iron-based superconductors | Almost a decade has passed since the serendipitous discovery of the
iron-based high temperature superconductors (FeSCs) in 2008. The question of
how much similarity the FeSCs have with the copper oxide high temperature
superconductors emerged since the initial discovery of long-range
antiferromagnetism in the FeSCs i... | 0 | 1 | 0 | 0 | 0 | 0 |
Perpetual points: New tool for localization of co-existing attractors in dynamical systems | Perpetual points (PPs) are special critical points for which the magnitude of
acceleration describing dynamics drops to zero, while the motion is still
possible (stationary points are excluded), e.g. considering the motion of the
particle in the potential field, at perpetual point it has zero acceleration
and non-zer... | 0 | 1 | 0 | 0 | 0 | 0 |
Loss Functions in Restricted Parameter Spaces and Their Bayesian Applications | A squared error loss remains the most commonly used loss function for
constructing a Bayes estimator of the parameter of interest. It, however, can
lead to sub-optimal solutions when a parameter is defined on a restricted
space. It can also be an inappropriate choice in the context when an
overestimation and/or under... | 0 | 0 | 1 | 1 | 0 | 0 |
When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum | The study of complex systems benefits from graph models and their analysis.
In particular, the eigendecomposition of the graph Laplacian lets emerge
properties of global organization from local interactions; e.g., the Fiedler
vector has the smallest non-zero eigenvalue and plays a key role for graph
clustering. Graph... | 1 | 0 | 0 | 0 | 0 | 0 |
Colored Image Encryption and Decryption Using Chaotic Lorenz System and DCT2 | In this paper, a scheme for the encryption and decryption of colored images
by using the Lorenz system and the discrete cosine transform in two dimensions
(DCT2) is proposed. Although chaos is random, it has deterministic features
that can be used for encryption; further, the same sequences can be produced at
the tra... | 1 | 0 | 0 | 0 | 0 | 0 |
Self-Gluing formula of the monopole invariant and its application | Given a $4$-manifold $\hat{M}$ and two homeomorphic surfaces $\Sigma_1,
\Sigma_2$ smoothly embedded in $\hat{M}$ with genus more than 1, we remove the
neighborhoods of the surfaces and obtain a new $4$-manifold $M$ from gluing two
boundaries $S^1 \times \Sigma_1$ and $S^1 \times \Sigma_1.$ In this artice, we
prove a ... | 0 | 0 | 1 | 0 | 0 | 0 |
An aptamer-biosensor for azole class antifungal drugs | This report describes the development of an aptamer for sensing azole
antifungal drugs for therapeutic drug monitoring. Modified Synthetic Evolution
of Ligands through Exponential Enrichment (SELEX) was used to discover a DNA
aptamer recognizing azole class antifungal drugs. This aptamer undergoes a
secondary structu... | 0 | 1 | 0 | 0 | 0 | 0 |
Notes on "Einstein metrics on compact simple Lie groups attached to standard triples" | In the paper "Einstein metrics on compact simple Lie groups attached to
standard triples", the authors introduced the definition of standard triples
and proved that every compact simple Lie group $G$ attached to a standard
triple $(G,K,H)$ admits a left-invariant Einstein metric which is not naturally
reductive excep... | 0 | 0 | 1 | 0 | 0 | 0 |
Harmonic quasi-isometric maps II : negatively curved manifolds | We prove that a quasi-isometric map, and more generally a coarse embedding,
between pinched Hadamard manifolds is within bounded distance from a unique
harmonic map.
| 0 | 0 | 1 | 0 | 0 | 0 |
Platform independent profiling of a QCD code | The supercomputing platforms available for high performance computing based
research evolve at a great rate. However, this rapid development of novel
technologies requires constant adaptations and optimizations of the existing
codes for each new machine architecture. In such context, minimizing time of
efficiently po... | 1 | 1 | 0 | 0 | 0 | 0 |
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems | Deep learning (DL) defines a new data-driven programming paradigm that
constructs the internal system logic of a crafted neuron network through a set
of training data. We have seen wide adoption of DL in many safety-critical
scenarios. However, a plethora of studies have shown that the state-of-the-art
DL systems suf... | 0 | 0 | 0 | 1 | 0 | 0 |
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