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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A Result of Uniqueness of Solutions of the Shigesada-Kawasaki-Teramoto Equations | We derive the uniqueness of weak solutions to the Shigesada-Kawasaki-Teramoto
(SKT) systems using the adjoint problem argument. Combining with [PT17] we then
derive the well-posedness for the SKT systems in space dimension $d\le 4$
| 0 | 0 | 1 | 0 | 0 | 0 |
Mind the Gap: A Well Log Data Analysis | The main task in oil and gas exploration is to gain an understanding of the
distribution and nature of rocks and fluids in the subsurface. Well logs are
records of petro-physical data acquired along a borehole, providing direct
information about what is in the subsurface. The data collected by logging
wells can have ... | 1 | 0 | 0 | 1 | 0 | 0 |
Inconsistency of Template Estimation with the Fr{é}chet mean in Quotient Space | We tackle the problem of template estimation when data have been randomly
transformed under an isometric group action in the presence of noise. In order
to estimate the template, one often minimizes the variance when the influence
of the transformations have been removed (computation of the Fr{é}chet mean
in quotient... | 0 | 0 | 1 | 1 | 0 | 0 |
All-optical switching and unidirectional plasmon launching with electron-hole plasma driven silicon nanoantennas | High-index dielectric nanoparticles have become a powerful platform for
modern light science, enabling various fascinating applications, especially in
nonlinear nanophotonics for which they enable special types of optical
nonlinearity, such as electron-hole plasma photoexcitation, which are not
inherent to plasmonic ... | 0 | 1 | 0 | 0 | 0 | 0 |
Group chasing tactics: how to catch a faster prey? | We propose a bio-inspired, agent-based approach to describe the natural
phenomenon of group chasing in both two and three dimensions. Using a set of
local interaction rules we created a continuous-space and discrete-time model
with time delay, external noise and limited acceleration. We implemented a
unique collectiv... | 0 | 1 | 0 | 1 | 0 | 0 |
On solving a restricted linear congruence using generalized Ramanujan sums | Consider the linear congruence equation $x_1+\ldots+x_k \equiv b\,(\text{mod
} n)$ for $b,n\in\mathbb{Z}$. By $(a,b)_s$, we mean the largest
$l^s\in\mathbb{N}$ which divides $a$ and $b$ simultaneously. For each $d_j|n$,
define $\mathcal{C}_{j,s} = \{1\leq x\leq n^s | (x,n^s)_s = d^s_j\}$. Bibak et
al. gave a formula ... | 0 | 0 | 1 | 0 | 0 | 0 |
Magnetization spin dynamics in a (LuBi)3Fe5O12 (BLIG) epitaxial film | Bismuth substituted lutetium iron garnet (BLIG) films exhibit larger Faraday
rotation, and have a higher Curie temperature than yttrium iron garnet. We have
observed magnetic stripe domains and measured domain widths of 1.4 {\mu}{\mu}m
using Fourier domain polarization microscopy, Faraday rotation experiments
yield a... | 0 | 1 | 0 | 0 | 0 | 0 |
Probing for sparse and fast variable selection with model-based boosting | We present a new variable selection method based on model-based gradient
boosting and randomly permuted variables. Model-based boosting is a tool to fit
a statistical model while performing variable selection at the same time. A
drawback of the fitting lies in the need of multiple model fits on slightly
altered data ... | 0 | 0 | 0 | 1 | 0 | 0 |
A surface-hopping method for semiclassical calculations of cross sections for radiative association with electronic transitions | A semicalssical method based on surface-hopping techniques is developed to
model the dynamics of radiative association with electronic transitions in
arbitrary polyatomic systems. It can be proven that our method is an extension
of the established semiclassical formula used in the characterization of
diatomic molecul... | 0 | 1 | 0 | 0 | 0 | 0 |
Holographic coherent states from random tensor networks | Random tensor networks provide useful models that incorporate various
important features of holographic duality. A tensor network is usually defined
for a fixed graph geometry specified by the connection of tensors. In this
paper, we generalize the random tensor network approach to allow quantum
superposition of diff... | 0 | 1 | 0 | 0 | 0 | 0 |
Persistent Spread Measurement for Big Network Data Based on Register Intersection | Persistent spread measurement is to count the number of distinct elements
that persist in each network flow for predefined time periods. It has many
practical applications, including detecting long-term stealthy network
activities in the background of normal-user activities, such as stealthy DDoS
attack, stealthy net... | 1 | 0 | 0 | 0 | 0 | 0 |
High-dimensional Linear Regression for Dependent Observations with Application to Nowcasting | In the last few years, an extensive literature has been focused on the
$\ell_1$ penalized least squares (Lasso) estimators of high dimensional linear
regression when the number of covariates $p$ is considerably larger than the
sample size $n$. However, there is limited attention paid to the properties of
the estimato... | 0 | 0 | 1 | 1 | 0 | 0 |
Dynamic control of the optical emission from GaN/InGaN nanowire quantum dots by surface acoustic waves | The optical emission of InGaN quantum dots embedded in GaN nanowires is
dynamically controlled by a surface acoustic wave (SAW). The emission energy of
both the exciton and biexciton lines is modulated over a 1.5 meV range at ~330
MHz. A small but systematic difference in the exciton and biexciton spectral
modulation... | 0 | 1 | 0 | 0 | 0 | 0 |
Robust Tracking and Behavioral Modeling of Movements of Biological Collectives from Ordinary Video Recordings | We propose a novel computational method to extract information about
interactions among individuals with different behavioral states in a biological
collective from ordinary video recordings. Assuming that individuals are acting
as finite state machines, our method first detects discrete behavioral states
of those in... | 1 | 1 | 0 | 0 | 0 | 0 |
Understanding Membership Inferences on Well-Generalized Learning Models | Membership Inference Attack (MIA) determines the presence of a record in a
machine learning model's training data by querying the model. Prior work has
shown that the attack is feasible when the model is overfitted to its training
data or when the adversary controls the training algorithm. However, when the
model is ... | 0 | 0 | 0 | 1 | 0 | 0 |
Identification of Near-Infrared [Se III] and [Kr VI] Emission Lines in Planetary Nebulae | We identify [Se III] 1.0994 micron in the planetary nebula (PN) NGC 5315 and
[Kr VI] 1.2330 micron in three PNe, from spectra obtained with the FIRE
spectrometer on the 6.5-m Baade Telescope. Se and Kr are the two most
widely-detected neutron-capture elements in astrophysical nebulae, and can be
enriched by s-process... | 0 | 1 | 0 | 0 | 0 | 0 |
On reduction of differential inclusions and Lyapunov stability | In this paper, locally Lipschitz regular functions are utilized to identify
and remove infeasible directions from differential inclusions. The resulting
reduced differential inclusion is point-wise smaller (in the sense of set
containment) than the original differential inclusion. The reduced inclusion is
utilized to... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Generative Networks For Sequence Prediction | This thesis investigates unsupervised time series representation learning for
sequence prediction problems, i.e. generating nice-looking input samples given
a previous history, for high dimensional input sequences by decoupling the
static input representation from the recurrent sequence representation. We
introduce t... | 0 | 0 | 0 | 1 | 0 | 0 |
Composite Behavioral Modeling for Identity Theft Detection in Online Social Networks | In this work, we aim at building a bridge from poor behavioral data to an
effective, quick-response, and robust behavior model for online identity theft
detection. We concentrate on this issue in online social networks (OSNs) where
users usually have composite behavioral records, consisting of
multi-dimensional low-q... | 1 | 0 | 0 | 0 | 0 | 0 |
Asymptotic properties of the set of systoles of arithmetic Riemann surfaces | The purpose this article is to try to understand the mysterious coincidence
between the asymptotic behavior of the volumes of the Moduli Space of closed
hyperbolic surfaces of genus $g$ with respect to the Weil-Petersson metric and
the asymptotic behavior of the number of arithmetic closed hyperbolic surfaces
of genu... | 0 | 0 | 1 | 0 | 0 | 0 |
Nonlinear elliptic equations on Carnot groups | This article concerns a class of elliptic equations on Carnot groups
depending on one real positive parameter and involving a subcritical
nonlinearity (for the critical case we refer to G. Molica Bisci and D.
Repovš, Yamabe-type equations on Carnot groups, Potential Anal. 46:2
(2017), 369-383; arXiv:1705.10100 [math.... | 0 | 0 | 1 | 0 | 0 | 0 |
Raptor Codes for Higher-Order Modulation Using a Multi-Edge Framework | In this paper, we represent Raptor codes as multi-edge type low-density
parity-check (MET-LDPC) codes, which gives a general framework to design them
for higher-order modulation using MET density evolution. We then propose an
efficient Raptor code design method for higher-order modulation, where we
design distinct de... | 1 | 0 | 1 | 0 | 0 | 0 |
A Tidy Data Model for Natural Language Processing using cleanNLP | The package cleanNLP provides a set of fast tools for converting a textual
corpus into a set of normalized tables. The underlying natural language
processing pipeline utilizes Stanford's CoreNLP library, exposing a number of
annotation tasks for text written in English, French, German, and Spanish.
Annotators include... | 1 | 0 | 0 | 1 | 0 | 0 |
Relaxation of the EM Algorithm via Quantum Annealing for Gaussian Mixture Models | We propose a modified expectation-maximization algorithm by introducing the
concept of quantum annealing, which we call the deterministic quantum annealing
expectation-maximization (DQAEM) algorithm. The expectation-maximization (EM)
algorithm is an established algorithm to compute maximum likelihood estimates
and ap... | 0 | 1 | 0 | 1 | 0 | 0 |
Multiband Superconductivity in the time reversal symmetry broken superconductor Re6Zr | We report point contact Andreev Reflection (PCAR) measurements on a
high-quality single crystal of the non-centrosymmetric superconductor Re6Zr. We
observe that the PCAR spectra can be fitted by taking two isotropic
superconducting gaps with Delta_1 ~ 0.79 meV and Delta_2 ~ 0.22 meV
respectively, suggesting that ther... | 0 | 1 | 0 | 0 | 0 | 0 |
Influence of broken-pair excitations on the exact pair wavefunction | Doubly occupied configuration interaction (DOCI), the exact diagonalization
of the Hamiltonian in the paired (seniority zero) sector of the Hilbert space,
is a combinatorial cost wave function that can be very efficiently approximated
by pair coupled cluster doubles (pCCD) at mean-field computational cost. As
such, i... | 0 | 1 | 0 | 0 | 0 | 0 |
Dynamical regularities of US equities opening and closing auctions | We first investigate the evolution of opening and closing auctions volumes of
US equities along the years. We then report dynamical properties of pre-auction
periods: the indicative match price is strongly mean-reverting because the
imbalance is; the final auction price reacts to a single auction order
placement or c... | 0 | 0 | 0 | 0 | 0 | 1 |
Comment on "Laser cooling of $^{173}$Yb for isotope separation and precision hyperfine spectroscopy" | We present measurements of the hyperfine splitting in the Yb-173
$6s6p~^1P_1^{\rm o} (F^{\prime}=3/2,7/2)$ states that disagree significantly
with those measured previously by Das and Natarajan [Phys. Rev. A 76, 062505
(2007)]. We point out inconsistencies in their measurements and suggest that
their error is due to ... | 0 | 1 | 0 | 0 | 0 | 0 |
Training GANs with Optimism | We address the issue of limit cycling behavior in training Generative
Adversarial Networks and propose the use of Optimistic Mirror Decent (OMD) for
training Wasserstein GANs. Recent theoretical results have shown that
optimistic mirror decent (OMD) can enjoy faster regret rates in the context of
zero-sum games. WGAN... | 1 | 0 | 0 | 1 | 0 | 0 |
New concepts of inertial measurements with multi-species atom interferometry | In the field of cold atom inertial sensors, we present and analyze innovative
configurations for improving their measurement range and sensitivity,
especially attracting for onboard applications. These configurations rely on
multi-species atom interferometry, involving the simultaneous manipulation of
different atomi... | 0 | 1 | 0 | 0 | 0 | 0 |
LAMN in a class of parametric models for null recurrent diffusion | We study statistical models for one-dimensional diffusions which are
recurrent null. A first parameter in the drift is the principal one, and
determines regular varying rates of convergence for the score and the
information process. A finite number of other parameters, of secondary
importance, introduces additional f... | 0 | 0 | 1 | 1 | 0 | 0 |
A recipe for topological observables of density matrices | Meaningful topological invariants for mixed quantum states are challenging to
identify as there is no unique way to define them, and most choices do not
directly relate to physical observables. Here, we propose a simple pragmatic
approach to construct topological invariants of mixed states while preserving a
connecti... | 0 | 1 | 0 | 0 | 0 | 0 |
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning | Deep learning (DL) advances state-of-the-art reinforcement learning (RL), by
incorporating deep neural networks in learning representations from the input
to RL. However, the conventional deep neural network architecture is limited in
learning representations for multi-task RL (MT-RL), as multiple tasks can refer
to ... | 1 | 0 | 0 | 1 | 0 | 0 |
On a class of infinitely differentiable functions in ${\mathbb R}^n$ admitting holomorphic extension in ${\mathbb C}^n$ | A space $G(M, \varPhi)$ of infinitely differentiable functions in ${\mathbb
R}^n$ constructed with a help of a family
$\varPhi=\{\varphi_m\}_{m=1}^{\infty}$ of real-valued functions $\varphi_m
\in~C({\mathbb R}^n)$ and a logarithmically convex sequence $M$ of positive
numbers is considered in the article. In view of ... | 0 | 0 | 1 | 0 | 0 | 0 |
Spatially resolved, energy-filtered imaging of core level and valence band photoemission of highly p and n doped silicon patterns | An accurate description of spatial variations in the energy levels of
patterned semiconductor substrates on the micron and sub-micron scale as a
function of local doping is an important technological challenge for the
microelectronics industry. Spatially resolved surface analysis by photoelectron
spectromicroscopy ca... | 0 | 1 | 0 | 0 | 0 | 0 |
Effects of Degree Correlations in Interdependent Security: Good or Bad? | We study the influence of degree correlations or network mixing in
interdependent security. We model the interdependence in security among agents
using a dependence graph and employ a population game model to capture the
interaction among many agents when they are strategic and have various security
measures they can... | 1 | 1 | 0 | 0 | 0 | 0 |
Towards more Reliable Transfer Learning | Multi-source transfer learning has been proven effective when within-target
labeled data is scarce. Previous work focuses primarily on exploiting domain
similarities and assumes that source domains are richly or at least comparably
labeled. While this strong assumption is never true in practice, this paper
relaxes it... | 0 | 0 | 0 | 1 | 0 | 0 |
Forming short-period Wolf-Rayet X-ray binaries and double black holes through stable mass transfer | We show that black-hole High-Mass X-ray Binaries (HMXBs) with O- or B-type
donor stars and relatively short orbital periods, of order one week to several
months may survive spiral in, to then form Wolf-Rayet (WR) X-ray binaries with
orbital periods of order a day to a few days; while in systems where the
compact star... | 0 | 1 | 0 | 0 | 0 | 0 |
Syzygies of Cohen-Macaulay modules over one dimensional Cohen-Macaulay local rings | We study syzygies of (maximal) Cohen-Macaulay modules over one dimensional
Cohen-Macaulay local rings. We compare these modules to Cohen-Macaulay modules
over the endomorphism ring of the maximal ideal. After this comparison, we give
several characterizations of almost Gorenstein rings in terms of syzygies of
Cohen-M... | 0 | 0 | 1 | 0 | 0 | 0 |
Chirality provides a direct fitness advantage and facilitates intermixing in cellular aggregates | Chirality in shape and motility can evolve rapidly in microbes and cancer
cells. To determine how chirality affects cell fitness, we developed a model of
chiral growth in compact aggregates such as microbial colonies and solid
tumors. Our model recapitulates previous experimental findings and shows that
mutant cells ... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning to Draw Samples with Amortized Stein Variational Gradient Descent | We propose a simple algorithm to train stochastic neural networks to draw
samples from given target distributions for probabilistic inference. Our method
is based on iteratively adjusting the neural network parameters so that the
output changes along a Stein variational gradient direction (Liu & Wang, 2016)
that maxi... | 0 | 0 | 0 | 1 | 0 | 0 |
Preconditioned dynamic mode decomposition and mode selection algorithms for large datasets using incremental proper orthogonal decomposition | This note proposes a simple and general framework of dynamic mode
decomposition (DMD) and a mode selection for large datasets. The proposed
framework explicitly introduces a preconditioning step using an incremental
proper orthogonal decomposition to DMD and mode selection algorithms. By
performing the preconditionin... | 0 | 1 | 0 | 0 | 0 | 0 |
A functional perspective on emergent supersymmetry | We investigate the emergence of ${\cal N}=1$ supersymmetry in the long-range
behavior of three-dimensional parity-symmetric Yukawa systems. We discuss a
renormalization approach that manifestly preserves supersymmetry whenever such
symmetry is realized, and use it to prove that supersymmetry-breaking operators
are ir... | 0 | 1 | 0 | 0 | 0 | 0 |
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds | Adaptive gradient methods have become recently very popular, in particular as
they have been shown to be useful in the training of deep neural networks. In
this paper we have analyzed RMSProp, originally proposed for the training of
deep neural networks, in the context of online convex optimization and show
$\sqrt{T}... | 1 | 0 | 0 | 1 | 0 | 0 |
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions | We study connections between Dykstra's algorithm for projecting onto an
intersection of convex sets, the augmented Lagrangian method of multipliers or
ADMM, and block coordinate descent. We prove that coordinate descent for a
regularized regression problem, in which the (separable) penalty functions are
seminorms, is... | 0 | 0 | 1 | 1 | 0 | 0 |
A Topological Perspective on Interacting Algebraic Theories | Techniques from higher categories and higher-dimensional rewriting are
becoming increasingly important for understanding the finer, computational
properties of higher algebraic theories that arise, among other fields, in
quantum computation. These theories have often the property of containing
simpler sub-theories, w... | 1 | 0 | 1 | 0 | 0 | 0 |
Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation | We introduce dynamic nested sampling: a generalisation of the nested sampling
algorithm in which the number of "live points" varies to allocate samples more
efficiently. In empirical tests the new method significantly improves
calculation accuracy compared to standard nested sampling with the same number
of samples; ... | 0 | 1 | 0 | 1 | 0 | 0 |
Multistage Adaptive Testing of Sparse Signals | Multistage design has been used in a wide range of scientific fields. By
allocating sensing resources adaptively, one can effectively eliminate null
locations and localize signals with a smaller study budget. We formulate a
decision-theoretic framework for simultaneous multi- stage adaptive testing and
study how to m... | 0 | 0 | 0 | 1 | 0 | 0 |
On the commutativity of the powerspace constructions | We investigate powerspace constructions on topological spaces, with a
particular focus on the category of quasi-Polish spaces. We show that the upper
and lower powerspaces commute on all quasi-Polish spaces, and show more
generally that this commutativity is equivalent to the topological property of
consonance. We th... | 1 | 0 | 1 | 0 | 0 | 0 |
Bounds on poloidal kinetic energy in plane layer convection | A numerical method is presented which conveniently computes upper bounds on
heat transport and poloidal energy in plane layer convection for infinite and
finite Prandtl numbers. The bounds obtained for the heat transport coincide
with earlier results. These bounds imply upper bounds for the poloidal energy
which foll... | 0 | 1 | 0 | 0 | 0 | 0 |
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data | We prove near-tight concentration of measure for polynomial functions of the
Ising model under high temperature. For any degree $d$, we show that a
degree-$d$ polynomial of a $n$-spin Ising model exhibits exponential tails that
scale as $\exp(-r^{2/d})$ at radius $r=\tilde{\Omega}_d(n^{d/2})$. Our
concentration radiu... | 1 | 0 | 1 | 1 | 0 | 0 |
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning | This paper proposes an exploration method for deep reinforcement learning
based on parameter space noise. Recent studies have experimentally shown that
parameter space noise results in better exploration than the commonly used
action space noise. Previous methods devised a way to update the diagonal
covariance matrix... | 0 | 0 | 0 | 1 | 0 | 0 |
Fast and high-accuracy measuring technique for transmittance spectrum in VIS-NIR | In this paper, based on the framework of traditional spectrophotometry, we
put forward a novel fast and high-accuracy technique for measuring
transmittance spectrum in VIS-NIR wave range, its key feature is that during
the measurement procedure, the output wavelength of the grating monochromator
is kept increasing co... | 0 | 1 | 0 | 0 | 0 | 0 |
The solution to the initial value problem for the ultradiscrete Somos-4 and 5 equations | We propose a method to solve the initial value problem for the ultradiscrete
Somos-4 and Somos-5 equations by expressing terms in the equations as convex
polygons and regarding max-plus algebras as those on polygons.
| 0 | 1 | 0 | 0 | 0 | 0 |
Width-tuned magnetic order oscillation on zigzag edges of honeycomb nanoribbons | Quantum confinement and interference often generate exotic properties in
nanostructures. One recent highlight is the experimental indication of a
magnetic phase transition in zigzag-edged graphene nanoribbons at the critical
ribbon width of about 7 nm [G. Z. Magda et al., Nature \textbf{514}, 608
(2014)]. Here we sho... | 0 | 1 | 0 | 0 | 0 | 0 |
Fast and accurate approximation of the full conditional for gamma shape parameters | The gamma distribution arises frequently in Bayesian models, but there is not
an easy-to-use conjugate prior for the shape parameter of a gamma. This
inconvenience is usually dealt with by using either Metropolis-Hastings moves,
rejection sampling methods, or numerical integration. However, in models with a
large num... | 0 | 0 | 0 | 1 | 0 | 0 |
Two variants of the Froiduire-Pin Algorithm for finite semigroups | In this paper, we present two algorithms based on the Froidure-Pin Algorithm
for computing the structure of a finite semigroup from a generating set. As was
the case with the original algorithm of Froidure and Pin, the algorithms
presented here produce the left and right Cayley graphs, a confluent
terminating rewriti... | 1 | 0 | 1 | 0 | 0 | 0 |
Holon Wigner Crystal in a Lightly Doped Kagome Quantum Spin Liquid | We address the problem of a lightly doped spin-liquid through a large-scale
density-matrix renormalization group (DMRG) study of the $t$-$J$ model on a
Kagome lattice with a small but non-zero concentration, $\delta$, of doped
holes. It is now widely accepted that the undoped ($\delta=0$) spin 1/2
Heisenberg antiferr... | 0 | 1 | 0 | 0 | 0 | 0 |
Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics | Nonconvex optimization problems arise in different research fields and arouse
lots of attention in signal processing, statistics and machine learning. In
this work, we explore the accelerated proximal gradient method and some of its
variants which have been shown to converge under nonconvex context recently. We
show ... | 1 | 0 | 0 | 1 | 0 | 0 |
Phase retrieval using alternating minimization in a batch setting | This paper considers the problem of phase retrieval, where the goal is to
recover a signal $z\in C^n$ from the observations $y_i=|a_i^* z|$,
$i=1,2,\cdots,m$. While many algorithms have been proposed, the alternating
minimization algorithm has been one of the most commonly used methods, and it
is very simple to imple... | 0 | 0 | 1 | 1 | 0 | 0 |
Inverse statistical problems: from the inverse Ising problem to data science | Inverse problems in statistical physics are motivated by the challenges of
`big data' in different fields, in particular high-throughput experiments in
biology. In inverse problems, the usual procedure of statistical physics needs
to be reversed: Instead of calculating observables on the basis of model
parameters, we... | 0 | 1 | 0 | 0 | 0 | 0 |
Static structure of chameleon dark Matter as an explanation of dwarf spheroidal galactic core | We propose a novel mechanism which explains cored dark matter density profile
in recently observed dark matter rich dwarf spheroidal galaxies. In our
scenario, dark matter particle mass decreases gradually as function of distance
towards the center of a dwarf galaxy due to its interaction with a chameleon
scalar. At ... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-Stakeholder Recommendation: Applications and Challenges | Recommender systems have been successfully applied to assist decision making
by producing a list of item recommendations tailored to user preferences.
Traditional recommender systems only focus on optimizing the utility of the end
users who are the receiver of the recommendations. By contrast,
multi-stakeholder recom... | 1 | 0 | 0 | 0 | 0 | 0 |
Unbalancing Sets and an Almost Quadratic Lower Bound for Syntactically Multilinear Arithmetic Circuits | We prove a lower bound of $\Omega(n^2/\log^2 n)$ on the size of any
syntactically multilinear arithmetic circuit computing some explicit
multilinear polynomial $f(x_1, \ldots, x_n)$. Our approach expands and improves
upon a result of Raz, Shpilka and Yehudayoff ([RSY08]), who proved a lower
bound of $\Omega(n^{4/3}/\... | 1 | 0 | 0 | 0 | 0 | 0 |
Saturated absorption competition microscopy | We introduce the concept of saturated absorption competition (SAC) microscopy
as a means of providing sub-diffraction spatial resolution in fluorescence
imaging. Unlike the post-competition process between stimulated and spontaneous
emission that is used in stimulated emission depletion (STED) microscopy, SAC
microsc... | 0 | 1 | 0 | 0 | 0 | 0 |
Topological and non inertial effects on the interbank light absorption | In this work, we investigate the combined influence of the nontrivial
topology introduced by a disclination and non inertial effects due to rotation,
in the energy levels and the wave functions of a noninteracting electron gas
confined to a two-dimensional pseudoharmonic quantum dot, under the influence
of an externa... | 0 | 1 | 0 | 0 | 0 | 0 |
Evolution of antiferromagnetic domains in the all-in-all-out ordered pyrochlore Nd$_2$Zr$_2$O$_7$ | We report the observation of magnetic domains in the exotic,
antiferromagnetically ordered all-in-all-out state of Nd$_2$Zr$_2$O$_7$,
induced by spin canting. The all-in-all-out state can be realized by Ising-like
spins on a pyrochlore lattice and is established in Nd$_2$Zr$_2$O$_7$ below
0.31 K for external magnetic... | 0 | 1 | 0 | 0 | 0 | 0 |
Phylogenetic networks that are their own fold-ups | Phylogenetic networks are becoming of increasing interest to evolutionary
biologists due to their ability to capture complex non-treelike evolutionary
processes. From a combinatorial point of view, such networks are certain types
of rooted directed acyclic graphs whose leaves are labelled by, for example,
species. A ... | 0 | 0 | 0 | 0 | 1 | 0 |
Hyperbolic inverse mean curvature flow | In this paper, we prove the short-time existence of hyperbolic inverse (mean)
curvature flow (with or without the specified forcing term) under the
assumption that the initial compact smooth hypersurface of $\mathbb{R}^{n+1}$
($n\geqslant2$) is mean convex and star-shaped. Several interesting examples
and some hyperb... | 0 | 0 | 1 | 0 | 0 | 0 |
Theoretically Principled Trade-off between Robustness and Accuracy | We identify a trade-off between robustness and accuracy that serves as a
guiding principle in the design of defenses against adversarial examples.
Although the problem has been widely studied empirically, much remains unknown
concerning the theory underlying this trade-off. In this work, we quantify the
trade-off in ... | 1 | 0 | 0 | 1 | 0 | 0 |
A new charge reconstruction algorithm for the DAMPE silicon microstrip detector | The DArk Matter Particle Explorer (DAMPE) is one of the four satellites
within the Strategic Pioneer Research Program in Space Science of the Chinese
Academy of Science (CAS). The Silicon-Tungsten Tracker (STK), which is composed
of 768 singled-sided silicon microstrip detectors, is one of the four
subdetectors in DA... | 0 | 1 | 0 | 0 | 0 | 0 |
The Structure Transfer Machine Theory and Applications | Representation learning is a fundamental but challenging problem, especially
when the distribution of data is unknown. We propose a new representation
learning method, termed Structure Transfer Machine (STM), which enables feature
learning process to converge at the representation expectation in a
probabilistic way. ... | 0 | 0 | 0 | 1 | 0 | 0 |
Inverse Fractional Knapsack Problem with Profits and Costs Modification | We address in this paper the problem of modifying both profits and costs of a
fractional knapsack problem optimally such that a prespecified solution becomes
an optimal solution with prespect to new parameters. This problem is called the
inverse fractional knapsack problem. Concerning the $l_1$-norm, we first prove
t... | 1 | 0 | 1 | 0 | 0 | 0 |
Large dimensional analysis of general margin based classification methods | Margin-based classifiers have been popular in both machine learning and
statistics for classification problems. Since a large number of classifiers are
available, one natural question is which type of classifiers should be used
given a particular classification task. We aim to answering this question by
investigating... | 1 | 0 | 0 | 1 | 0 | 0 |
Complete reducibility, Kulshammer's question, conjugacy classes: a D_4 example | Let $k$ be a nonperfect separably closed field. Let $G$ be a connected
reductive algebraic group defined over $k$. We study rationality problems for
Serre's notion of complete reducibility of subgroups of $G$. In particular, we
present a new example of subgroup $H$ of $G$ of type $D_4$ in characteristic
$2$ such that... | 0 | 0 | 1 | 0 | 0 | 0 |
Covariance structure associated with an equality between two general ridge estimators | In a general linear model, this paper derives a necessary and sufficient
condition under which two general ridge estimators coincide with each other.
The condition is given as a structure of the dispersion matrix of the error
term. Since the class of estimators considered here contains linear unbiased
estimators such... | 0 | 0 | 1 | 1 | 0 | 0 |
Three natural subgroups of the Brauer-Picard group of a Hopf algebra with applications | In this article we construct three explicit natural subgroups of the
Brauer-Picard group of the category of representations of a finite-dimensional
Hopf algebra. In examples the Brauer Picard group decomposes into an ordered
product of these subgroups, somewhat similar to a Bruhat decomposition.
Our construction retu... | 0 | 0 | 1 | 0 | 0 | 0 |
UAV Visual Teach and Repeat Using Only Semantic Object Features | We demonstrate the use of semantic object detections as robust features for
Visual Teach and Repeat (VTR). Recent CNN-based object detectors are able to
reliably detect objects of tens or hundreds of categories in a video at frame
rates. We show that such detections are repeatable enough to use as landmarks
for VTR, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Towards a Deep Reinforcement Learning Approach for Tower Line Wars | There have been numerous breakthroughs with reinforcement learning in the
recent years, perhaps most notably on Deep Reinforcement Learning successfully
playing and winning relatively advanced computer games. There is undoubtedly an
anticipation that Deep Reinforcement Learning will play a major role when the
first A... | 1 | 0 | 0 | 0 | 0 | 0 |
A Case for an Atmosphere on Super-Earth 55 Cancri e | One of the primary questions when characterizing Earth-sized and
super-Earth-sized exoplanets is whether they have a substantial atmosphere like
Earth and Venus or a bare-rock surface like Mercury. Phase curves of the
planets in thermal emission provide clues to this question, because a
substantial atmosphere would t... | 0 | 1 | 0 | 0 | 0 | 0 |
From LiDAR to Underground Maps via 5G - Business Models Enabling a System-of-Systems Approach to Mapping the Kankberg Mine | With ever-increasing productivity targets in mining operations, there is a
growing interest in mining automation. The PIMM project addresses the
fundamental challenge of network communication by constructing a pilot 5G
network in the underground mine Kankberg. In this report, we discuss how such a
5G network could co... | 1 | 0 | 0 | 0 | 0 | 0 |
The number of realizations of a Laman graph | Laman graphs model planar frameworks that are rigid for a general choice of
distances between the vertices. There are finitely many ways, up to isometries,
to realize a Laman graph in the plane. Such realizations can be seen as
solutions of systems of quadratic equations prescribing the distances between
pairs of poi... | 1 | 0 | 1 | 0 | 0 | 0 |
UV Detector based on InAlN/GaN-on-Si HEMT Stack with Photo-to-Dark Current Ratio > 107 | We demonstrate an InAlN/GaN-on-Si HEMT based UV detector with photo to dark
current ratio > 107. Ti/Al/Ni/Au metal stack was evaporated and rapid thermal
annealed for Ohmic contacts to the 2D electron gas (2DEG) at the InAlN/GaN
interface while the channel + barrier was recess etched to a depth of 20 nm to
pinch-off ... | 0 | 1 | 0 | 0 | 0 | 0 |
Deep Reinforcement Learning for Inquiry Dialog Policies with Logical Formula Embeddings | This paper is the first attempt to learn the policy of an inquiry dialog
system (IDS) by using deep reinforcement learning (DRL). Most IDS frameworks
represent dialog states and dialog acts with logical formulae. In order to make
learning inquiry dialog policies more effective, we introduce a logical formula
embeddin... | 1 | 0 | 0 | 0 | 0 | 0 |
Proof of Time's Arrow with Perfectly Chaotic Superdiffusion | The problem of Time's Arrow is rigorously solved in a certain microscopic
system associated with a Hamiltonian using only information about the
microscopic system. This microscopic system obeys an equation with time
reversal symmetry. In detail, we prove that a symplectic map with time reversal
symmetry is an Anosov ... | 0 | 1 | 0 | 0 | 0 | 0 |
Using Phone Sensors and an Artificial Neural Network to Detect Gait Changes During Drinking Episodes in the Natural Environment | Phone sensors could be useful in assessing changes in gait that occur with
alcohol consumption. This study determined (1) feasibility of collecting
gait-related data during drinking occasions in the natural environment, and (2)
how gait-related features measured by phone sensors relate to estimated blood
alcohol conc... | 1 | 0 | 0 | 1 | 0 | 0 |
A Lattice Model of Charge-Pattern-Dependent Polyampholyte Phase Separation | In view of recent intense experimental and theoretical interests in the
biophysics of liquid-liquid phase separation (LLPS) of intrinsically disordered
proteins (IDPs), heteropolymer models with chain molecules configured as
self-avoiding walks on the simple cubic lattice are constructed to study how
phase behaviors ... | 0 | 0 | 0 | 0 | 1 | 0 |
"Noiseless" thermal noise measurement of atomic force microscopy cantilevers | When measuring quadratic values representative of random fluctuations, such
as the thermal noise of Atomic Force Microscopy (AFM) cantilevers, the
background measurement noise cannot be averaged to zero. We present a signal
processing method that allows to get rid of this limitation using the
ubiquitous optical beam ... | 0 | 1 | 0 | 0 | 0 | 0 |
A Forward Model at Purkinje Cell Synapses Facilitates Cerebellar Anticipatory Control | How does our motor system solve the problem of anticipatory control in spite
of a wide spectrum of response dynamics from different musculo-skeletal
systems, transport delays as well as response latencies throughout the central
nervous system? To a great extent, our highly-skilled motor responses are a
result of a re... | 1 | 0 | 1 | 0 | 0 | 0 |
De Rham and twisted cohomology of Oeljeklaus-Toma manifolds | Oeljeklaus-Toma (OT) manifolds are complex non-Kähler manifolds whose
construction arises from specific number fields. In this note, we compute their
de Rham cohomology in terms of invariants associated to the background number
field. This is done by two distinct approaches, one using invariant cohomology
and the oth... | 0 | 0 | 1 | 0 | 0 | 0 |
Episode-Based Active Learning with Bayesian Neural Networks | We investigate different strategies for active learning with Bayesian deep
neural networks. We focus our analysis on scenarios where new, unlabeled data
is obtained episodically, such as commonly encountered in mobile robotics
applications. An evaluation of different strategies for acquisition, updating,
and final tr... | 1 | 0 | 0 | 1 | 0 | 0 |
Origin of X-ray and gamma-ray emission from the Galactic central region | We study a possible connection between different non-thermal emissions from
the inner few parsecs of the Galaxy. We analyze the origin of the gamma-ray
source 2FGL J1745.6-2858 (or 3FGL J1745.6-2859c) in the Galactic Center and the
diffuse hard X-ray component recently found by NuSTAR, as well as the radio
emission a... | 0 | 1 | 0 | 0 | 0 | 0 |
Freeness and The Partial Transposes of Wishart Random Matrices | We show that the partial transposes of complex Wishart random matrices are
asymptotically free. We also investigate regimes where the number of blocks is
fixed but the size of the blocks increases. This gives a example where the
partial transpose produces freeness at the operator level. Finally we
investigate the cas... | 0 | 0 | 1 | 0 | 0 | 0 |
Coset space construction for the conformal group. I. Unbroken phase | The technique for constructing conformally invariant theories within the
coset space construction is developed. It reproduces all consequences of the
conformal invariance and Lagrangians of widely-known conformal field theories.
The method of induced representations, which plays the key role in the
construction, allo... | 0 | 0 | 1 | 0 | 0 | 0 |
Fixed points of polarity type operators | A well-known result says that the Euclidean unit ball is the unique fixed
point of the polarity operator. This result implies that if, in $\mathbb{R}^n$,
the unit ball of some norm is equal to the unit ball of the dual norm, then the
norm must be Euclidean. Motivated by these results and by relatively recent
results ... | 0 | 0 | 1 | 0 | 0 | 0 |
Multiple Improvements of Multiple Imputation Likelihood Ratio Tests | Multiple imputation (MI) inference handles missing data by first properly
imputing the missing values $m$ times, and then combining the $m$ analysis
results from applying a complete-data procedure to each of the completed
datasets. However, the existing method for combining likelihood ratio tests has
multiple defects... | 0 | 0 | 1 | 1 | 0 | 0 |
Estimating the unseen from multiple populations | Given samples from a distribution, how many new elements should we expect to
find if we continue sampling this distribution? This is an important and
actively studied problem, with many applications ranging from unseen species
estimation to genomics. We generalize this extrapolation and related unseen
estimation prob... | 1 | 0 | 0 | 1 | 0 | 0 |
Continued Fractions and $q$-Series Generating Functions for the Generalized Sum-of-Divisors Functions | We construct new continued fraction expansions of Jacobi-type J-fractions in
$z$ whose power series expansions generate the ratio of the $q$-Pochhamer
symbols, $(a; q)_n / (b; q)_n$, for all integers $n \geq 0$ and where $a,b,q
\in \mathbb{C}$ are non-zero and defined such that $|q| < 1$ and $|b/a| < |z| <
1$. If we ... | 0 | 0 | 1 | 0 | 0 | 0 |
Implications of a wavelength dependent PSF for weak lensing measurements | The convolution of galaxy images by the point-spread function (PSF) is the
dominant source of bias for weak gravitational lensing studies, and an accurate
estimate of the PSF is required to obtain unbiased shape measurements. The PSF
estimate for a galaxy depends on its spectral energy distribution (SED),
because the... | 0 | 1 | 0 | 0 | 0 | 0 |
Improving TSP tours using dynamic programming over tree decomposition | Given a traveling salesman problem (TSP) tour $H$ in graph $G$ a $k$-move is
an operation which removes $k$ edges from $H$, and adds $k$ edges of $G$ so
that a new tour $H'$ is formed. The popular $k$-OPT heuristics for TSP finds a
local optimum by starting from an arbitrary tour $H$ and then improving it by a
sequen... | 1 | 0 | 0 | 0 | 0 | 0 |
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