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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Rectangular Photonic Crystal Nanobeam Cavities in Bulk Diamond | We demonstrate the fabrication of photonic crystal nanobeam cavities with
rectangular cross section into bulk diamond. In simulation, these cavities have
an unloaded quality factor (Q) of over 1 million. Measured cavity resonances
show fundamental modes with spectrometer-limited quality factors larger than
14,000 wit... | 0 | 1 | 0 | 0 | 0 | 0 |
Accelerated Primal-Dual Proximal Block Coordinate Updating Methods for Constrained Convex Optimization | Block Coordinate Update (BCU) methods enjoy low per-update computational
complexity because every time only one or a few block variables would need to
be updated among possibly a large number of blocks. They are also easily
parallelized and thus have been particularly popular for solving problems
involving large-scal... | 1 | 0 | 1 | 1 | 0 | 0 |
Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields | Overhead depth map measurements capture sufficient amount of information to
enable human experts to track pedestrians accurately. However, fully automating
this process using image analysis algorithms can be challenging. Even though
hand-crafted image analysis algorithms are successful in many common cases,
they fail... | 1 | 1 | 0 | 0 | 0 | 0 |
Absence of magnetic long range order in Ba$_3$ZnRu$_2$O$_9$: A spin-liquid candidate in the $S=3/2$ dimer lattice | We have discovered a novel candidate for a spin liquid state in a ruthenium
oxide composed of dimers of $S = $ 3/2 spins of Ru$^{5+}$,Ba$_3$ZnRu$_2$O$_9$.
This compound lacks a long range order down to 37 mK, which is a temperature
5000-times lower than the magnetic interaction scale of around 200 K. Partial
substitu... | 0 | 1 | 0 | 0 | 0 | 0 |
Deforming Representations of SL(2,R) | The spherical principal series representations $\pi(\nu)$ of SL(2,$\mathbb
R$) is a family of infinite dimensional representations parametrized by
$\nu\in\mathbb C$. The representation $\pi(\nu)$ is irreducible unless $\nu$ is
an odd integer, in which case it is indecomposable. We find a new continuous
family of repr... | 0 | 0 | 1 | 0 | 0 | 0 |
3D Reconstruction & Assessment Framework based on affordable 2D Lidar | Lidar is extensively used in the industry and mass-market. Due to its
measurement accuracy and insensitivity to illumination compared to cameras, It
is applied onto a broad range of applications, like geodetic engineering, self
driving cars or virtual reality. But the 3D Lidar with multi-beam is very
expensive, and t... | 1 | 0 | 0 | 0 | 0 | 0 |
Probabilistic Relational Reasoning via Metrics | The Fuzz programming language [Reed and Pierce, 2010] uses an elegant linear
type system combined with a monad-like type to express and reason about
probabilistic sensitivity properties, most notably $\epsilon$-differential
privacy. We show how to extend Fuzz to capture more general relational
properties of probabili... | 1 | 0 | 0 | 0 | 0 | 0 |
Upper bounds for constant slope $p$-adic families of modular forms | We study $p$-adic families of eigenforms for which the $p$-th Hecke
eigenvalue $a_p$ has constant $p$-adic valuation ("constant slope families").
We prove two separate upper bounds for the size of such families. The first is
in terms of the logarithmic derivative of $a_p$ while the second depends only
on the slope of... | 0 | 0 | 1 | 0 | 0 | 0 |
Size dependence of the surface tension of a free surface of an isotropic fluid | We report on the size dependence of the surface tension of a free surface of
an isotropic fluid. The size dependence of the surface tension is evaluated
based on the Gibbs-Tolman-Koenig-Buff equation for positive and negative values
of curvatures and the Tolman lengths. For all combinations of positive and
negative s... | 0 | 1 | 0 | 0 | 0 | 0 |
Bayesian Belief Updating of Spatiotemporal Seizure Dynamics | Epileptic seizure activity shows complicated dynamics in both space and time.
To understand the evolution and propagation of seizures spatially extended sets
of data need to be analysed. We have previously described an efficient
filtering scheme using variational Laplace that can be used in the Dynamic
Causal Modelli... | 1 | 0 | 0 | 1 | 0 | 0 |
Split, Send, Reassemble: A Formal Specification of a CAN Bus Protocol Stack | We present a formal model for a fragmentation and a reassembly protocol
running on top of the standardised CAN bus, which is widely used in automotive
and aerospace applications. Although the CAN bus comes with an in-built
mechanism for prioritisation, we argue that this is not sufficient and provide
another protocol... | 1 | 0 | 0 | 0 | 0 | 0 |
An extinction free AGN selection by 18-band SED fitting in mid-infrared in the AKARI NEP deep field | We have developed an efficient Active Galactic Nucleus (AGN) selection method
using 18-band Spectral Energy Distribution (SED) fitting in mid-infrared
(mid-IR). AGNs are often obscured by gas and dust, and those obscured AGNs tend
to be missed in optical, UV and soft X-ray observations. Mid-IR light can help
us to re... | 0 | 1 | 0 | 0 | 0 | 0 |
Spatial point processes intensity estimation with a diverging number of covariates | Feature selection procedures for spatial point processes parametric intensity
estimation have been recently developed since more and more applications
involve a large number of covariates. In this paper, we investigate the setting
where the number of covariates diverges as the domain of observation increases.
In part... | 0 | 0 | 1 | 1 | 0 | 0 |
A novel methodology on distributed representations of proteins using their interacting ligands | The effective representation of proteins is a crucial task that directly
affects the performance of many bioinformatics problems. Related proteins
usually bind to similar ligands. Chemical characteristics of ligands are known
to capture the functional and mechanistic properties of proteins suggesting
that a ligand ba... | 0 | 0 | 0 | 1 | 1 | 0 |
Distributed Robust Set-Invariance for Interconnected Linear Systems | We introduce a class of distributed control policies for networks of
discrete-time linear systems with polytopic additive disturbances. The
objective is to restrict the network-level state and controls to user-specified
polyhedral sets for all times. This problem arises in many safety-critical
applications. We consid... | 1 | 0 | 0 | 0 | 0 | 0 |
Liouville's theorem and comparison results for solutions of degenerate elliptic equations in exterior domains | A version of Liouville's theorem is proved for solutions of some degenerate
elliptic equations defined in $\mathbb{R}^n\backslash K$, where $K$ is a
compact set, provided the structure of this equation and the dimension $n$ are
related. This result is a correction of a previous one established by Serrin,
since some a... | 0 | 0 | 1 | 0 | 0 | 0 |
An Optimal Control Problem for the Steady Nonhomogeneous Asymmetric Fluids | We study an optimal boundary control problem for the two-dimensional
stationary micropolar fluids system with variable density. We control the
system by considering boundary controls, for the velocity vector and angular
velocity of rotation of particles, on parts of the boundary of the flow domain.
On the remaining p... | 0 | 0 | 1 | 0 | 0 | 0 |
A thermodynamic view of dusty protoplanetary disks | Small solids embedded in gaseous protoplanetary disks are subject to strong
dust-gas friction. Consequently, tightly-coupled dust particles almost follow
the gas flow. This near conservation of dust-to-gas ratio along streamlines is
analogous to the near conservation of entropy along flows of (dust-free) gas
with wea... | 0 | 1 | 0 | 0 | 0 | 0 |
Stable determination of a Lamé coefficient by one internal measurement of displacement | In this paper we show that the shear modulus $\mu$ of an isotropic elastic
body can be stably recovered by the knowledge of one single displacement field
whose boundary data can be assigned independently of the unknown elasticity
tensor.
| 0 | 0 | 1 | 0 | 0 | 0 |
Mordell-Weil Groups of Linear Systems and the Hitchin Fibration | In this paper, we study rational sections of the relative Picard scheme of a
linear system on a smooth projective variety. We prove that if the linear
system is basepoint-free and the locus of non-integral divisors has codimension
at least two, then all rational sections of the relative Picard scheme come
from restri... | 0 | 0 | 1 | 0 | 0 | 0 |
Subgradients of Minimal Time Functions without Calmness | In recent years there has been great interest in variational analysis of a
class of nonsmooth functions called the minimal time function. In this paper we
continue this line of research by providing new results on generalized
differentiation of this class of functions, relaxing assumptions imposed on the
functions an... | 0 | 0 | 1 | 0 | 0 | 0 |
Multiple Kernel Learning and Automatic Subspace Relevance Determination for High-dimensional Neuroimaging Data | Alzheimer's disease is a major cause of dementia. Its diagnosis requires
accurate biomarkers that are sensitive to disease stages. In this respect, we
regard probabilistic classification as a method of designing a probabilistic
biomarker for disease staging. Probabilistic biomarkers naturally support the
interpretati... | 1 | 0 | 0 | 1 | 0 | 0 |
Optimal bounds and extremal trajectories for time averages in nonlinear dynamical systems | For any quantity of interest in a system governed by ordinary differential
equations, it is natural to seek the largest (or smallest) long-time average
among solution trajectories, as well as the extremal trajectories themselves.
Upper bounds on time averages can be proved a priori using auxiliary functions,
the opti... | 0 | 1 | 1 | 0 | 0 | 0 |
Unsupervised Learning with Stein's Unbiased Risk Estimator | Learning from unlabeled and noisy data is one of the grand challenges of
machine learning. As such, it has seen a flurry of research with new ideas
proposed continuously. In this work, we revisit a classical idea: Stein's
Unbiased Risk Estimator (SURE). We show that, in the context of image recovery,
SURE and its gen... | 0 | 0 | 0 | 1 | 0 | 0 |
Cellular function given parametric variation: excitability in the Hodgkin-Huxley model | How is reliable physiological function maintained in cells despite
considerable variability in the values of key parameters of multiple
interacting processes that govern that function? Here we use the classic
Hodgkin-Huxley formulation of the squid giant axon action potential to propose
a possible approach to this pr... | 0 | 0 | 0 | 0 | 1 | 0 |
P4K: A Formal Semantics of P4 and Applications | Programmable packet processors and P4 as a programming language for such
devices have gained significant interest, because their flexibility enables
rapid development of a diverse set of applications that work at line rate.
However, this flexibility, combined with the complexity of devices and
networks, increases the... | 1 | 0 | 0 | 0 | 0 | 0 |
Global aspects of polarization optics and coset space geometry | We use group theoretic ideas and coset space methods to deal with problems in
polarization optics of a global nature. These include the possibility of a
globally smooth phase convention for electric fields for all points on the
Poincaré sphere, and a similar possibility of real or complex bases of
transverse electric... | 0 | 1 | 0 | 0 | 0 | 0 |
Nonlinear Large Deviations: Beyond the Hypercube | We present a framework to calculate large deviations for nonlinear functions
of independent random variables supported on compact sets in Banach spaces, by
extending the result in Chatterjee and Dembo [6]. Previous research on
nonlinear large deviations has only focused on random variables supported on
$\{-1,+1\}^{n}... | 0 | 0 | 1 | 0 | 0 | 0 |
Force and torque of a string on a pulley | Every university introductory physics course considers the problem of
Atwood's machine taking into account the mass of the pulley. In the usual
treatment the tensions at the two ends of the string are offhandedly taken to
act on the pulley and be responsible for its rotation. However such a free-body
diagram of the f... | 0 | 1 | 0 | 0 | 0 | 0 |
Imagining Probabilistic Belief Change as Imaging (Technical Report) | Imaging is a form of probabilistic belief change which could be employed for
both revision and update. In this paper, we propose a new framework for
probabilistic belief change based on imaging, called Expected Distance Imaging
(EDI). EDI is sufficiently general to define Bayesian conditioning and other
forms of imag... | 1 | 0 | 0 | 0 | 0 | 0 |
Sparse Rational Function Interpolation with Finitely Many Values for the Coefficients | In this paper, we give new sparse interpolation algorithms for black box
univariate and multivariate rational functions h=f/g whose coefficients are
integers with an upper bound. The main idea is as follows: choose a proper
integer beta and let h(beta) = a/b with gcd(a,b)=1. Then f and g can be
computed by solving th... | 1 | 0 | 0 | 0 | 0 | 0 |
Research Opportunities and Visions for Smart and Pervasive Health | Improving the health of the nation's population and increasing the
capabilities of the US healthcare system to support diagnosis, treatment, and
prevention of disease is a critical national and societal priority. In the past
decade, tremendous advances in expanding computing capabilities--sensors, data
analytics, net... | 1 | 0 | 0 | 0 | 0 | 0 |
Training L1-Regularized Models with Orthant-Wise Passive Descent Algorithms | The $L_1$-regularized models are widely used for sparse regression or
classification tasks. In this paper, we propose the orthant-wise passive
descent algorithm (OPDA) for optimizing $L_1$-regularized models, as an
improved substitute of proximal algorithms, which are the standard tools for
optimizing the models nowa... | 1 | 0 | 0 | 1 | 0 | 0 |
Zero-Delay Source-Channel Coding with a One-Bit ADC Front End and Correlated Side Information at the Receiver | Zero-delay transmission of a Gaussian source over an additive white Gaussian
noise (AWGN) channel is considered with a one-bit analog-to-digital converter
(ADC) front end and a correlated side information at the receiver. The design
of the optimal encoder and decoder is studied for two performance criteria,
namely, t... | 1 | 0 | 0 | 0 | 0 | 0 |
Non-Oscillatory Pattern Learning for Non-Stationary Signals | This paper proposes a novel non-oscillatory pattern (NOP) learning scheme for
several oscillatory data analysis problems including signal decomposition,
super-resolution, and signal sub-sampling. To the best of our knowledge, the
proposed NOP is the first algorithm for these problems with fully
non-stationary oscilla... | 0 | 0 | 0 | 1 | 0 | 0 |
Analysis of Set-Valued Stochastic Approximations: Applications to Noisy Approximate Value and Fixed point Iterations | The main aim of this paper is the development of Lyapunov function based
sufficient conditions for stability (almost sure boundedness) and convergence
of stochastic approximation algorithms (SAAs) with set-valued mean-fields, a
class of model-free algorithms that have become important in recent times. In
this paper w... | 1 | 0 | 0 | 1 | 0 | 0 |
Predicting Surgery Duration with Neural Heteroscedastic Regression | Scheduling surgeries is a challenging task due to the fundamental uncertainty
of the clinical environment, as well as the risks and costs associated with
under- and over-booking. We investigate neural regression algorithms to
estimate the parameters of surgery case durations, focusing on the issue of
heteroscedastici... | 1 | 0 | 0 | 1 | 0 | 0 |
Multichannel End-to-end Speech Recognition | The field of speech recognition is in the midst of a paradigm shift:
end-to-end neural networks are challenging the dominance of hidden Markov
models as a core technology. Using an attention mechanism in a recurrent
encoder-decoder architecture solves the dynamic time alignment problem,
allowing joint end-to-end trai... | 1 | 0 | 0 | 0 | 0 | 0 |
Universal Rules for Fooling Deep Neural Networks based Text Classification | Recently, deep learning based natural language processing techniques are
being extensively used to deal with spam mail, censorship evaluation in social
networks, among others. However, there is only a couple of works evaluating the
vulnerabilities of such deep neural networks. Here, we go beyond attacks to
investigat... | 1 | 0 | 0 | 1 | 0 | 0 |
Synthetic Observations of 21cm HI Line Profiles from Inhomogeneous Turbulent Interstellar HI Gas with Magnetic Field | We carried out synthetic observations of interstellar atomic hydrogen at 21cm
wavelength by utilizing the magneto-hydrodynamical numerical simulations of the
inhomogeneous turbulent interstellar medium (ISM) Inoue and Inutsuka (2012).
The cold neutral medium (CNM) shows significantly clumpy distribution with a
small ... | 0 | 1 | 0 | 0 | 0 | 0 |
Clarifying Trust in Social Internet of Things | A social approach can be exploited for the Internet of Things (IoT) to manage
a large number of connected objects. These objects operate as autonomous agents
to request and provide information and services to users. Establishing
trustworthy relationships among the objects greatly improves the effectiveness
of node in... | 1 | 0 | 0 | 0 | 0 | 0 |
The Leave-one-out Approach for Matrix Completion: Primal and Dual Analysis | In this paper, we introduce a powerful technique, Leave-One-Out, to the
analysis of low-rank matrix completion problems. Using this technique, we
develop a general approach for obtaining fine-grained, entry-wise bounds on
iterative stochastic procedures. We demonstrate the power of this approach in
analyzing two of t... | 0 | 0 | 0 | 1 | 0 | 0 |
Weyl calculus with respect to the Gaussian measure and restricted $L^p$-$L^q$ boundedness of the Ornstein-Uhlenbeck semigroup in complex time | In this paper, we introduce a Weyl functional calculus $a \mapsto a(Q,P)$ for
the position and momentum operators $Q$ and $P$ associated with the
Ornstein-Uhlenbeck operator $ L = -\Delta + x\cdot \nabla$, and give a simple
criterion for restricted $L^p$-$L^q$ boundedness of operators in this
functional calculus. The... | 0 | 0 | 1 | 0 | 0 | 0 |
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning | Recent model-free reinforcement learning algorithms have proposed
incorporating learned dynamics models as a source of additional data with the
intention of reducing sample complexity. Such methods hold the promise of
incorporating imagined data coupled with a notion of model uncertainty to
accelerate the learning of... | 0 | 0 | 0 | 1 | 0 | 0 |
A new method of joint nonparametric estimation of probability density and its support | In this paper we propose a new method of joint nonparametric estimation of
probability density and its support. As is well known, nonparametric kernel
density estimator has "boundary bias problem" when the support of the
population density is not the whole real line. To avoid the unknown boundary
effects, our estimat... | 0 | 0 | 1 | 1 | 0 | 0 |
An OpenCL(TM) Deep Learning Accelerator on Arria 10 | Convolutional neural nets (CNNs) have become a practical means to perform
vision tasks, particularly in the area of image classification. FPGAs are well
known to be able to perform convolutions efficiently, however, most recent
efforts to run CNNs on FPGAs have shown limited advantages over other devices
such as GPUs... | 1 | 0 | 0 | 0 | 0 | 0 |
Two-channel conduction in YbPtBi | We investigated transport, magnetotransport, and broadband optical properties
of the half-Heusler compound YbPtBi. Hall measurements evidence two types of
charge carriers: highly mobile electrons with a temperature-dependent
concentration and low-mobile holes; their concentration stays almost constant
within the inve... | 0 | 1 | 0 | 0 | 0 | 0 |
Cosmological constraints on scalar-tensor gravity and the variation of the gravitational constant | We present cosmological constraints on the scalar-tensor theory of gravity by
analyzing the angular power spectrum data of the cosmic microwave background
obtained from the Planck 2015 results together with the baryon acoustic
oscillations (BAO) data. We find that the inclusion of the BAO data improves
the constraint... | 0 | 1 | 0 | 0 | 0 | 0 |
Extending Bayesian structural time-series estimates of causal impact to many-household conservation initiatives | Government agencies offer economic incentives to citizens for conservation
actions, such as rebates for installing efficient appliances and compensation
for modifications to homes. The intention of these conservation actions is
frequently to reduce the consumption of a utility. Measuring the conservation
impact of in... | 0 | 0 | 0 | 1 | 0 | 0 |
Absorption probabilities for Gaussian polytopes, and regular spherical simplices | The Gaussian polytope $\mathcal P_{n,d}$ is the convex hull of $n$
independent standard normally distributed points in $\mathbb R^d$. We derive
explicit expressions for the probability that $\mathcal P_{n,d}$ contains a
fixed point $x\in\mathbb R^d$ as a function of the Euclidean norm of $x$, and
the probability that... | 0 | 0 | 1 | 0 | 0 | 0 |
Modeling news spread as an SIR process over temporal networks | News spread in internet media outlets can be seen as a contagious process
generating temporal networks representing the influence between published
articles. In this article we propose a methodology based on the application of
natural language analysis of the articles to reconstruct the spread network.
From the recon... | 1 | 1 | 0 | 0 | 0 | 0 |
Price dynamics on a risk-averse market with asymmetric information | A market with asymmetric information can be viewed as a repeated exchange
game between the informed sector and the uninformed one. In a market with
risk-neutral agents, De Meyer [2010] proves that the price process should be a
particular kind of Brownian martingale called CMMV. This type of dynamics is
due to the str... | 1 | 0 | 1 | 0 | 0 | 0 |
Learning to Generalize: Meta-Learning for Domain Generalization | Domain shift refers to the well known problem that a model trained in one
source domain performs poorly when applied to a target domain with different
statistics. {Domain Generalization} (DG) techniques attempt to alleviate this
issue by producing models which by design generalize well to novel testing
domains. We pr... | 1 | 0 | 0 | 0 | 0 | 0 |
Divide and Conquer: Recovering Contextual Information of Behaviors in Android Apps around Limited-quantity Audit Logs | Android users are now suffering serious threats from various unwanted apps.
The analysis of apps' audit logs is one of the critical methods for some device
manufactures to unveil the underlying malice of apps. We propose and implement
DroidHolmes, a novel system that recovers contextual information around
limited-qua... | 1 | 0 | 0 | 0 | 0 | 0 |
Homotopy Theoretic Classification of Symmetry Protected Phases | We classify a number of symmetry protected phases using Freed-Hopkins'
homotopy theoretic classification. Along the way we compute the low-dimensional
homotopy groups of a number of novel cobordism spectra.
| 0 | 1 | 1 | 0 | 0 | 0 |
Automatic Renal Segmentation in DCE-MRI using Convolutional Neural Networks | Kidney function evaluation using dynamic contrast-enhanced MRI (DCE-MRI)
images could help in diagnosis and treatment of kidney diseases of children.
Automatic segmentation of renal parenchyma is an important step in this
process. In this paper, we propose a time and memory efficient fully automated
segmentation meth... | 0 | 0 | 0 | 1 | 0 | 0 |
Self-adjoint approximations of degenerate Schrodinger operator | The problem of construction a quantum mechanical evolution for the
Schrodinger equation with a degenerate Hamiltonian which is a symmetric
operator that does not have self-adjoint extensions is considered. Self-adjoint
regularization of the Hamiltonian does not lead to a preserving probability
limiting evolution for ... | 0 | 0 | 1 | 0 | 0 | 0 |
Inelastic deformation during sill and laccolith emplacement: Insights from an analytic elastoplastic model | Numerous geological observations evidence that inelastic deformation occurs
during sills and laccoliths emplacement. However, most models of sill and
laccolith emplacement neglect inelastic processes by assuming purely elastic
deformation of the host rock. This assumption has never been tested, so that
the role of in... | 0 | 1 | 0 | 0 | 0 | 0 |
On the magnetic shield for a Vlasov-Poisson plasma | We study the screening of a bounded body $\Gamma$ against the effect of a
wind of charged particles, by means of a shield produced by a magnetic field
which becomes infinite on the border of $\Gamma$. The charged wind is modeled
by a Vlasov-Poisson plasma, the bounded body by a torus, and the external
magnetic field ... | 0 | 0 | 1 | 0 | 0 | 0 |
Judicious partitions of uniform hypergraphs | The vertices of any graph with $m$ edges may be partitioned into two parts so
that each part meets at least $\frac{2m}{3}$ edges. Bollobás and Thomason
conjectured that the vertices of any $r$-uniform hypergraph with $m$ edges may
likewise be partitioned into $r$ classes such that each part meets at least
$\frac{r}{2... | 0 | 0 | 1 | 0 | 0 | 0 |
Full and maximal squashed flat antichains of minimum weight | A full squashed flat antichain (FSFA) in the Boolean lattice $B_n$ is a
family $\mathcal{A}\cup\mathcal{B}$ of subsets of $[n]=\{1,2,\dots,n\}$ such
that, for some $k\in [n]$ and $0\le m\le \binom n k$, $\mathcal{A}$ is the
family of the first $m$ $k$-sets in squashed (reverse-lexicographic) order and
$\mathcal{B}$ c... | 1 | 0 | 0 | 0 | 0 | 0 |
On the phantom barrier crossing and the bounds on the speed of sound in non-minimal derivative coupling theories | In this paper we investigate the so called "phantom barrier crossing" issue
in a cosmological model based in the scalar-tensor theory with non-minimal
derivative coupling to the Einstein's tensor. Special attention will be paid to
the physical bounds on the squared sound speed. The numeric results are
geometrically i... | 0 | 1 | 0 | 0 | 0 | 0 |
Detecting tropical defects of polynomial equations | We introduce the notion of tropical defects, certificates that a system of
polynomial equations is not a tropical basis, and provide algorithms for
finding them around affine spaces of complementary dimension to the zero set.
We use these techniques to solve open problems regarding del Pezzo surfaces of
degree 3 and ... | 1 | 0 | 0 | 0 | 0 | 0 |
Wasserstein Variational Inference | This paper introduces Wasserstein variational inference, a new form of
approximate Bayesian inference based on optimal transport theory. Wasserstein
variational inference uses a new family of divergences that includes both
f-divergences and the Wasserstein distance as special cases. The gradients of
the Wasserstein v... | 0 | 0 | 0 | 1 | 0 | 0 |
Comptage probabiliste sur la frontière de Furstenberg | Let $G$ be a real linear semisimple algebraic group without compact factors
and $\Gamma$ a Zariski dense subgroup of $G$. In this paper, we use a
probabilistic counting in order to study the asymptotic properties of $\Gamma$
acting on the Furstenberg boundary of $G$. First, we show that the $K$
components of the elem... | 0 | 0 | 1 | 0 | 0 | 0 |
Bures-Hall Ensemble: Spectral Densities and Average Entropies | We consider an ensemble of random density matrices distributed according to
the Bures measure. The corresponding joint probability density of eigenvalues
is described by the fixed trace Bures-Hall ensemble of random matrices which,
in turn, is related to its unrestricted trace counterpart via a Laplace
transform. We ... | 0 | 0 | 0 | 1 | 0 | 0 |
Electron and Nucleon Localization Functions of Oganesson: Approaching the Thomas-Fermi Limit | Fermion localization functions are used to discuss electronic and nucleonic
shell structure effects in the superheavy element oganesson, the heaviest
element discovered to date. Spin-orbit splitting in the $7p$ electronic shell
becomes so large ($\sim$ 10 eV) that Og is expected to show uniform-gas-like
behavior in t... | 0 | 1 | 0 | 0 | 0 | 0 |
Constrained Bayesian Optimization with Noisy Experiments | Randomized experiments are the gold standard for evaluating the effects of
changes to real-world systems. Data in these tests may be difficult to collect
and outcomes may have high variance, resulting in potentially large measurement
error. Bayesian optimization is a promising technique for efficiently
optimizing mul... | 1 | 0 | 0 | 1 | 0 | 0 |
On synthetic data with predetermined subject partitioning and cluster profiling, and pre-specified categorical variable marginal dependence structure | A standard approach for assessing the performance of partition or mixture
models is to create synthetic data sets with a pre-specified clustering
structure, and assess how well the model reveals this structure. A common
format is that subjects are assigned to different clusters, with variable
observations simulated s... | 0 | 0 | 0 | 1 | 0 | 0 |
Multi-Agent Diverse Generative Adversarial Networks | We propose MAD-GAN, an intuitive generalization to the Generative Adversarial
Networks (GANs) and its conditional variants to address the well known problem
of mode collapse. First, MAD-GAN is a multi-agent GAN architecture
incorporating multiple generators and one discriminator. Second, to enforce
that different gen... | 1 | 0 | 0 | 1 | 0 | 0 |
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data | The aetiology of polygenic obesity is multifactorial, which indicates that
life-style and environmental factors may influence multiples genes to aggravate
this disorder. Several low-risk single nucleotide polymorphisms (SNPs) have
been associated with BMI. However, identified loci only explain a small
proportion of t... | 0 | 0 | 0 | 0 | 1 | 0 |
Packet Throughput Analysis of Static and Dynamic TDD in Small Cell Networks | We develop an analytical framework for the perfor- mance comparison of small
cell networks operating under static time division duplexing (S-TDD) and
dynamic TDD (D-TDD). While in S-TDD downlink/uplink (DL/UL) cell transmissions
are synchronized, in D-TDD each cell dynamically allocates resources to the
most demandin... | 1 | 0 | 0 | 0 | 0 | 0 |
False Discovery Rate Control via Debiased Lasso | We consider the problem of variable selection in high-dimensional statistical
models where the goal is to report a set of variables, out of many predictors
$X_1, \dotsc, X_p$, that are relevant to a response of interest. For linear
high-dimensional model, where the number of parameters exceeds the number of
samples $... | 0 | 0 | 0 | 1 | 0 | 0 |
Relativistic Astronomy | The "Breakthrough Starshot" aims at sending near-speed-of-light cameras to
nearby stellar systems in the future. Due to the relativistic effects, a
trans-relativistic camera naturally serves as a spectrograph, a lens, and a
wide-field camera. We demonstrate this through a simulation of the optical-band
image of the n... | 0 | 1 | 0 | 0 | 0 | 0 |
Connection between Fermi contours of zero-field electrons and $ν=\frac12$ composite fermions in two-dimensional systems | We investigate the relation between the Fermi sea (FS) of zero-field carriers
in two-dimensional systems and the FS of the corresponding composite fermions
which emerge in a high magnetic field at filling $\nu = \frac{1}{2}$, as the
kinetic energy dispersion is varied. We study cases both with and without
rotational ... | 0 | 1 | 0 | 0 | 0 | 0 |
An instrumental intelligibility metric based on information theory | We propose a monaural intrusive instrumental intelligibility metric called
speech intelligibility in bits (SIIB). SIIB is an estimate of the amount of
information shared between a talker and a listener in bits per second. Unlike
existing information theoretic intelligibility metrics, SIIB accounts for
talker variabil... | 1 | 0 | 0 | 0 | 0 | 0 |
Scattering of kinks in a non-polynomial model | We study a model described by a single real scalar field in the
two-dimensional space-time. The model is specified by a potential which is
non-polynomial and supports analytical kink-like solutions that are similar to
the standard kink-like solutions that appear in the $\varphi^4$ model when it
develops spontaneous s... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Specification of Constraints for Dynamic Architectures | In dynamic architectures, component activation and connections between
components may vary over time. With the emergence of mobile computing such
architectures became increasingly important and several techniques emerged to
support in their specification. These techniques usually allow for the
specification of concre... | 1 | 0 | 0 | 0 | 0 | 0 |
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks | Forward-looking sonar can capture high resolution images of underwater
scenes, but their interpretation is complex. Generic object detection in such
images has not been solved, specially in cases of small and unknown objects. In
comparison, detection proposal algorithms have produced top performing object
detectors i... | 1 | 0 | 0 | 0 | 0 | 0 |
Rgtsvm: Support Vector Machines on a GPU in R | Rgtsvm provides a fast and flexible support vector machine (SVM)
implementation for the R language. The distinguishing feature of Rgtsvm is that
support vector classification and support vector regression tasks are
implemented on a graphical processing unit (GPU), allowing the libraries to
scale to millions of exampl... | 1 | 0 | 0 | 1 | 0 | 0 |
Geometric Bijections for Regular Matroids, Zonotopes, and Ehrhart Theory | Let $M$ be a regular matroid. The Jacobian group ${\rm Jac}(M)$ of $M$ is a
finite abelian group whose cardinality is equal to the number of bases of $M$.
This group generalizes the definition of the Jacobian group (also known as the
critical group or sandpile group) ${\rm Jac}(G)$ of a graph $G$ (in which case
bases... | 0 | 0 | 1 | 0 | 0 | 0 |
Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping | Collaborative Filtering (CF) is a widely adopted technique in recommender
systems. Traditional CF models mainly focus on predicting a user's preference
to the items in a single domain such as the movie domain or the music domain. A
major challenge for such models is the data sparsity problem, and especially,
CF canno... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Interest Network for Click-Through Rate Prediction | Click-through rate prediction is an essential task in industrial
applications, such as online advertising. Recently deep learning based models
have been proposed, which follow a similar Embedding\&MLP paradigm. In these
methods large scale sparse input features are first mapped into low dimensional
embedding vectors,... | 1 | 0 | 0 | 1 | 0 | 0 |
Nonlinear Dirac Cones | Physics arising from two-dimensional~(2D) Dirac cones has been a topic of
great theoretical and experimental interest to studies of gapless topological
phases and to simulations of relativistic systems. Such $2$D Dirac cones are
often characterized by a $\pi$ Berry phase and are destroyed by a perturbative
mass term.... | 0 | 1 | 0 | 0 | 0 | 0 |
Portfolio Optimization in Fractional and Rough Heston Models | We consider a fractional version of the Heston volatility model which is
inspired by [16]. Within this model we treat portfolio optimization problems
for power utility functions. Using a suitable representation of the fractional
part, followed by a reasonable approximation we show that it is possible to
cast the prob... | 0 | 0 | 0 | 0 | 0 | 1 |
Vanishing in stable motivic homotopy sheaves | We determine systematic regions in which the bigraded homotopy sheaves of the
motivic sphere spectrum vanish.
| 0 | 0 | 1 | 0 | 0 | 0 |
Classifying Character Degree Graphs With 6 Vertices | We investigate prime character degree graphs of solvable groups that have six
vertices. There are one hundred twelve non-isomorphic connected graphs with six
vertices, of which all except nine are classified in this paper. We also
completely classify the disconnected graphs with six vertices.
| 0 | 0 | 1 | 0 | 0 | 0 |
On the Table of Marks of a Direct Product of Finite Groups | We present a method for computing the table of marks of a direct product of
finite groups. In contrast to the character table of a direct product of two
finite groups, its table of marks is not simply the Kronecker product of the
tables of marks of the two groups. Based on a decomposition of the inclusion
order on th... | 0 | 0 | 1 | 0 | 0 | 0 |
An Adiabatic Decomposition of the Hodge Cohomology of Manifolds Fibred over Graphs | In this article we use the combinatorial and geometric structure of manifolds
with embedded cylinders in order to develop an adiabatic decomposition of the
Hodge cohomology of these manifolds. We will on the one hand describe the
adiabatic behaviour of spaces of harmonic forms by means of a certain
Čech-de Rham compl... | 0 | 0 | 1 | 0 | 0 | 0 |
Search Intelligence: Deep Learning For Dominant Category Prediction | Deep Neural Networks, and specifically fully-connected convolutional neural
networks are achieving remarkable results across a wide variety of domains.
They have been trained to achieve state-of-the-art performance when applied to
problems such as speech recognition, image classification, natural language
processing ... | 1 | 0 | 0 | 1 | 0 | 0 |
Grouped Convolutional Neural Networks for Multivariate Time Series | Analyzing multivariate time series data is important for many applications
such as automated control, fault diagnosis and anomaly detection. One of the
key challenges is to learn latent features automatically from dynamically
changing multivariate input. In visual recognition tasks, convolutional neural
networks (CNN... | 1 | 0 | 0 | 0 | 0 | 0 |
A mathematical bridge between discretized gauge theories in quantum physics and approximate reasoning in pairwise comparisons | We describe a mathematical link between aspects of information theory, called
pairwise comparisons, and discretized gauge theories. The link is made by the
notion of holonomy along the edges of a simplex. This correspondance leads to
open questions in both field.
| 0 | 0 | 1 | 0 | 0 | 0 |
Ten Simple Rules for Reproducible Research in Jupyter Notebooks | Reproducibility of computational studies is a hallmark of scientific
methodology. It enables researchers to build with confidence on the methods and
findings of others, reuse and extend computational pipelines, and thereby drive
scientific progress. Since many experimental studies rely on computational
analyses, biol... | 1 | 0 | 0 | 0 | 0 | 0 |
No-But-Semantic-Match: Computing Semantically Matched XML Keyword Search Results | Users are rarely familiar with the content of a data source they are
querying, and therefore cannot avoid using keywords that do not exist in the
data source. Traditional systems may respond with an empty result, causing
dissatisfaction, while the data source in effect holds semantically related
content. In this pape... | 1 | 0 | 0 | 0 | 0 | 0 |
Avalanches and Plastic Flow in Crystal Plasticity: An Overview | Crystal plasticity is mediated through dislocations, which form knotted
configurations in a complex energy landscape. Once they disentangle and move,
they may also be impeded by permanent obstacles with finite energy barriers or
frustrating long-range interactions. The outcome of such complexity is the
emergence of d... | 0 | 1 | 0 | 0 | 0 | 0 |
Explicit expression for the stationary distribution of reflected brownian motion in a wedge | For Brownian motion in a (two-dimensional) wedge with negative drift and
oblique reflection on the axes, we derive an explicit formula for the Laplace
transform of its stationary distribution (when it exists), in terms of Cauchy
integrals and generalized Chebyshev polyno-mials. To that purpose we solve a
Carleman-typ... | 0 | 0 | 1 | 0 | 0 | 0 |
A Data-Driven Framework for Assessing Cold Load Pick-up Demand in Service Restoration | Cold load pick-up (CLPU) has been a critical concern to utilities.
Researchers and industry practitioners have underlined the impact of CLPU on
distribution system design and service restoration. The recent large-scale
deployment of smart meters has provided the industry with a huge amount of data
that is highly gran... | 1 | 0 | 0 | 0 | 0 | 0 |
On the topological complexity of aspherical spaces | The well-known theorem of Eilenberg and Ganea expresses the Lusternik -
Schnirelmann category of an aspherical space as the cohomological dimension of
its fundamental group. In this paper we study a similar problem of determining
algebraically the topological complexity of the Eilenberg-MacLane spaces. One
of our mai... | 0 | 0 | 1 | 0 | 0 | 0 |
Computable Isomorphisms for Certain Classes of Infinite Graphs | We investigate (2,1):1 structures, which consist of a countable set $A$
together with a function $f: A \to A$ such that for every element $x$ in $A$,
$f$ maps either exactly one element or exactly two elements of $A$ to $x$.
These structures extend the notions of injection structures, 2:1 structures,
and (2,0):1 stru... | 0 | 0 | 1 | 0 | 0 | 0 |
Tug-of-War: Observations on Unified Content Handling | Modern applications and Operating Systems vary greatly with respect to how
they register and identify different types of content. These discrepancies lead
to exploits and inconsistencies in user experience. In this paper, we highlight
the issues arising in the modern content handling ecosystem, and examine how
the op... | 1 | 0 | 0 | 0 | 0 | 0 |
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