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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Mixed Bohr radius in several variables | Let $K(B_{\ell_p^n},B_{\ell_q^n}) $ be the $n$-dimensional $(p,q)$-Bohr
radius for holomorphic functions on $\mathbb C^n$. That is,
$K(B_{\ell_p^n},B_{\ell_q^n}) $ denotes the greatest constant $r\geq 0$ such
that for every entire function $f(z)=\sum_{\alpha} c_{\alpha} z^{\alpha}$ in
$n$-complex variables, we have t... | 0 | 0 | 1 | 0 | 0 | 0 |
Adversarial Examples: Attacks and Defenses for Deep Learning | With rapid progress and significant successes in a wide spectrum of
applications, deep learning is being applied in many safety-critical
environments. However, deep neural networks have been recently found vulnerable
to well-designed input samples, called adversarial examples. Adversarial
examples are imperceptible t... | 1 | 0 | 0 | 1 | 0 | 0 |
Auto-Keras: Efficient Neural Architecture Search with Network Morphism | Neural architecture search (NAS) has been proposed to automatically tune deep
neural networks, but existing search algorithms usually suffer from expensive
computational cost. Network morphism, which keeps the functionality of a neural
network while changing its neural architecture, could be helpful for NAS by
enabli... | 0 | 0 | 0 | 1 | 0 | 0 |
Distributed Representation of Subgraphs | Network embeddings have become very popular in learning effective feature
representations of networks. Motivated by the recent successes of embeddings in
natural language processing, researchers have tried to find network embeddings
in order to exploit machine learning algorithms for mining tasks like node
classifica... | 1 | 0 | 0 | 1 | 0 | 0 |
The right tool for the right question --- beyond the encoding versus decoding dichotomy | There are two major questions that neuroimaging studies attempt to answer:
First, how are sensory stimuli represented in the brain (which we term the
stimulus-based setting)? And, second, how does the brain generate cognition
(termed the response-based setting)? There has been a lively debate in the
neuroimaging comm... | 0 | 0 | 0 | 1 | 0 | 0 |
Recognising Axionic Dark Matter by Compton and de-Broglie Scale Modulation of Pulsar Timing | Light Axionic Dark Matter, motivated by string theory, is increasingly
favored for the "no-WIMP era". Galaxy formation is suppressed below a Jeans
scale, of $\simeq 10^8 M_\odot$ by setting the axion mass to, $m_B \sim
10^{-22}$eV, and the large dark cores of dwarf galaxies are explained as
solitons on the de-Broglie... | 0 | 1 | 0 | 0 | 0 | 0 |
Core of communities in bipartite networks | We use the information present in a bipartite network to detect cores of
communities of each set of the bipartite system. Cores of communities are found
by investigating statistically validated projected networks obtained using
information present in the bipartite network. Cores of communities are highly
informative ... | 1 | 1 | 0 | 0 | 0 | 0 |
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling | In textual information extraction and other sequence labeling tasks it is now
common to use recurrent neural networks (such as LSTM) to form rich embedded
representations of long-term input co-occurrence patterns. Representation of
output co-occurrence patterns is typically limited to a hand-designed graphical
model,... | 1 | 0 | 0 | 0 | 0 | 0 |
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications | In this paper, we design and analyze a new zeroth-order online algorithm,
namely, the zeroth-order online alternating direction method of multipliers
(ZOO-ADMM), which enjoys dual advantages of being gradient-free operation and
employing the ADMM to accommodate complex structured regularizers. Compared to
the first-o... | 1 | 0 | 0 | 1 | 0 | 0 |
Stationary solutions for stochastic damped Navier-Stokes equations in $\mathbb R^d$ | We consider the stochastic damped Navier-Stokes equations in $\mathbb R^d$
($d=2,3$), assuming as in our previous work [4] that the covariance of the
noise is not too regular, so Itô calculus cannot be applied in the space of
finite energy vector fields. We prove the existence of an invariant measure
when $d=2$ and o... | 0 | 0 | 1 | 0 | 0 | 0 |
On compact packings of the plane with circles of three radii | A compact circle-packing $P$ of the Euclidean plane is a set of circles which
bound mutually disjoint open discs with the property that, for every circle
$S\in P$, there exists a maximal indexed set $\{A_{0},\ldots,A_{n-1}\}\subseteq
P$ so that, for every $i\in\{0,\ldots,n-1\}$, the circle $A_{i}$ is tangent to
both ... | 0 | 0 | 1 | 0 | 0 | 0 |
Next Basket Prediction using Recurring Sequential Patterns | Nowadays, a hot challenge for supermarket chains is to offer personalized
services for their customers. Next basket prediction, i.e., supplying the
customer a shopping list for the next purchase according to her current needs,
is one of these services. Current approaches are not capable to capture at the
same time th... | 1 | 0 | 0 | 0 | 0 | 0 |
Solving nonlinear circuits with pulsed excitation by multirate partial differential equations | In this paper the concept of Multirate Partial Differential Equations (MPDEs)
is applied to obtain an efficient solution for nonlinear low-frequency
electrical circuits with pulsed excitation. The MPDEs are solved by a Galerkin
approach and a conventional time discretization. Nonlinearities are efficiently
accounted ... | 1 | 0 | 0 | 0 | 0 | 0 |
Optimal modification of the LRT for the equality of two high-dimensional covariance matrices | This paper considers the optimal modification of the likelihood ratio test
(LRT) for the equality of two high-dimensional covariance matrices. The
classical LRT is not well defined when the dimensions are larger than or equal
to one of the sample sizes. In this paper, an optimally modified test that
works well in cas... | 0 | 0 | 1 | 1 | 0 | 0 |
Feature uncertainty bounding schemes for large robust nonlinear SVM classifiers | We consider the binary classification problem when data are large and subject
to unknown but bounded uncertainties. We address the problem by formulating the
nonlinear support vector machine training problem with robust optimization. To
do so, we analyze and propose two bounding schemes for uncertainties associated
t... | 1 | 0 | 0 | 1 | 0 | 0 |
Impact of carrier localization on recombination in InGaN quantum wells and the efficiency of nitride light-emitting diodes: insights from theory and numerical simulations | We examine the effect of carrier localization due to random alloy
fluctuations on the radiative and Auger recombination rates in InGaN quantum
wells as a function of alloy composition, crystal orientation, carrier density,
and temperature. Our results show that alloy fluctuations reduce individual
transition matrix e... | 0 | 1 | 0 | 0 | 0 | 0 |
A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines | Information in neural networks is represented as weighted connections, or
synapses, between neurons. This poses a problem as the primary computational
bottleneck for neural networks is the vector-matrix multiply when inputs are
multiplied by the neural network weights. Conventional processing architectures
are not we... | 1 | 0 | 0 | 1 | 0 | 0 |
Volume of representations and mapping degree | Given a connected real Lie group and a contractible homogeneous proper
$G$--space $X$ furnished with a $G$--invariant volume form, a real valued
volume can be assigned to any representation $\rho\colon \pi_1(M)\to G$ for any
oriented closed smooth manifold $M$ of the same dimension as $X$. Suppose that
$G$ contains a... | 0 | 0 | 1 | 0 | 0 | 0 |
Transiting Planets with LSST III: Detection Rate per Year of Operation | The Large Synoptic Survey Telescope (LSST) will generate light curves for
approximately 1 billion stars. Our previous work has demonstrated that, by the
end of the LSST 10 year mission, large numbers of transiting exoplanetary
systems could be recovered using the LSST "deep drilling" cadence. Here we
extend our previ... | 0 | 1 | 0 | 0 | 0 | 0 |
Summing coincidence in rare event gamma-ray measurements under an ultra-low background environment | A Monte Carlo method based on the GEANT4 toolkit has been developed to
correct the full-energy peak (FEP) efficiencies of a high purity germanium
(HPGe) detector equipped with a low background shielding system, and moreover
evaluated using summing peaks in a numerical way. It is found that the FEP
efficiencies of $^{... | 0 | 1 | 0 | 0 | 0 | 0 |
Free constructions and coproducts of d-frames | A general theory of presentations for d-frames does not yet exist. We review
the difficulties and give sufficient conditions for when they can be overcome.
As an application we prove that the category of d-frames is closed under
coproducts.
| 1 | 0 | 1 | 0 | 0 | 0 |
Trace Expressiveness of Timed and Probabilistic Automata | Automata expressiveness is an essential feature in understanding which of the
formalisms available should be chosen for modelling a particular problem.
Probabilistic and stochastic automata are suitable for modelling systems
exhibiting probabilistic behavior and their expressiveness has been studied
relative to non-p... | 1 | 0 | 0 | 0 | 0 | 0 |
Open data, open review and open dialogue in making social sciences plausible | Nowadays, protecting trust in social sciences also means engaging in open
community dialogue, which helps to safeguard robustness and improve efficiency
of research methods. The combination of open data, open review and open
dialogue may sound simple but implementation in the real world will not be
straightforward. H... | 0 | 0 | 0 | 1 | 0 | 0 |
The isoperimetric problem in the 2-dimensional Finsler space forms with k = 0. II | This paper is a continuation of the second author's previous work. We
investigate the isoperimetric problem in the 2-dimensional Finsler space form
$(F_B, B^2(1))$ with $k=0$ by using the Holmes-Thompson area and prove that the
circle centered the origin achieves the local maximum area of the isoperimetric
problem.
| 0 | 0 | 1 | 0 | 0 | 0 |
Estimating Buildings' Parameters over Time Including Prior Knowledge | Modeling buildings' heat dynamics is a complex process which depends on
various factors including weather, building thermal capacity, insulation
preservation, and residents' behavior. Gray-box models offer a causal inference
of those dynamics expressed in few parameters specific to built environments.
These parameter... | 1 | 0 | 0 | 1 | 0 | 0 |
Decentralized Connectivity-Preserving Deployment of Large-Scale Robot Swarms | We present a decentralized and scalable approach for deployment of a robot
swarm. Our approach tackles scenarios in which the swarm must reach multiple
spatially distributed targets, and enforce the constraint that the robot
network cannot be split. The basic idea behind our work is to construct a
logical tree topolo... | 1 | 0 | 0 | 0 | 0 | 0 |
Bell's Inequality and Entanglement in Qubits | We propose an alternative evaluation of quantum entanglement by measuring the
maximum violation of the Bell's inequality without performing a partial trace
operation. This proposal is demonstrated by bridging the maximum violation of
the Bell's inequality and the concurrence of a pure state in an $n$-qubit
system, in... | 0 | 1 | 0 | 0 | 0 | 0 |
Stochastic Conjugate Gradient Algorithm with Variance Reduction | Conjugate gradient (CG) methods are a class of important methods for solving
linear equations and nonlinear optimization problems. In this paper, we propose
a new stochastic CG algorithm with variance reduction and we prove its linear
convergence with the Fletcher and Reeves method for strongly convex and smooth
func... | 1 | 0 | 0 | 1 | 0 | 0 |
Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization | Kalman filters are routinely used for many data fusion applications including
navigation, tracking, and simultaneous localization and mapping problems.
However, significant time and effort is frequently required to tune various
Kalman filter model parameters, e.g. process noise covariance, pre-whitening
filter models... | 1 | 0 | 0 | 1 | 0 | 0 |
Ultra-wide plasmonic tuning of semiconductor metasurface resonators on epsilon near zero media | Fully reconfigurable metasurfaces would enable new classes of optical devices
that provide unprecedented control of electromagnetic beamforms. The principal
challenge for achieving reconfigurability is the need to generate large
tunability of subwavelength, low-Q metasurface resonators. Here, we demonstrate
large ref... | 0 | 1 | 0 | 0 | 0 | 0 |
A Method for Analysis of Patient Speech in Dialogue for Dementia Detection | We present an approach to automatic detection of Alzheimer's type dementia
based on characteristics of spontaneous spoken language dialogue consisting of
interviews recorded in natural settings. The proposed method employs additive
logistic regression (a machine learning boosting method) on content-free
features extr... | 1 | 0 | 0 | 0 | 0 | 0 |
Resilient Transmission Grid Design: AC Relaxation vs. DC approximation | As illustrated in recent years (Superstorm Sandy, the Northeast Ice Storm of
1998, etc.), extreme weather events pose an enormous threat to the electric
power transmission systems and the associated socio-economic systems that
depend on reliable delivery of electric power. Besides inevitable malfunction
of power grid... | 1 | 0 | 1 | 0 | 0 | 0 |
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives | We present a new technique for learning visual-semantic embeddings for
cross-modal retrieval. Inspired by hard negative mining, the use of hard
negatives in structured prediction, and ranking loss functions, we introduce a
simple change to common loss functions used for multi-modal embeddings. That,
combined with fin... | 1 | 0 | 0 | 0 | 0 | 0 |
The cooling-off effect of price limits in the Chinese stock markets | In this paper, we investigate the cooling-off effect (opposite to the magnet
effect) from two aspects. Firstly, from the viewpoint of dynamics, we study the
existence of the cooling-off effect by following the dynamical evolution of
some financial variables over a period of time before the stock price hits its
limit.... | 0 | 0 | 0 | 0 | 0 | 1 |
When Anderson localization makes quantum particles move backward | We unveil a novel and unexpected manifestation of Anderson localization of
matter wave packets that carry a finite average velocity: after an initial
ballistic motion, the packet center-of-mass experiences a retroreflection and
slowly returns to its initial position. We describe this effect both
numerically and analy... | 0 | 1 | 0 | 0 | 0 | 0 |
On the origin of super-diffusive behavior in a class of non-equilibrium systems | Experiments and simulations have established that dynamics in a class of
living and abiotic systems that are far from equilibrium exhibit super
diffusive behavior at long times, which in some cases (for example evolving
tumor) is preceded by slow glass-like dynamics. By using the evolution of a
collection of tumor ce... | 0 | 0 | 0 | 0 | 1 | 0 |
Statistical analysis of the first passage path ensemble of jump processes | The transition mechanism of jump processes between two different subsets in
state space reveals important dynamical information of the processes and
therefore has attracted considerable attention in the past years. In this
paper, we study the first passage path ensemble of both discrete-time and
continuous-time jump ... | 0 | 0 | 1 | 0 | 0 | 0 |
The SLUGGS Survey: Dark matter fractions at large radii and assembly epochs of early-type galaxies from globular cluster kinematics | We use globular cluster kinematics data, primarily from the SLUGGS survey, to
measure the dark matter fraction ($f_{\rm DM}$) and the average dark matter
density ($\left< \rho_{\rm DM} \right>$) within the inner 5 effective radii
($R_{\rm e}$) for 32 nearby early--type galaxies (ETGs) with stellar mass log
$(M_*/\rm ... | 0 | 1 | 0 | 0 | 0 | 0 |
Wave packet dynamics of Bogoliubov quasiparticles: quantum metric effects | We study the dynamics of the Bogoliubov wave packet in superconductors and
calculate the supercurrent carried by the wave packet. We discover an anomalous
contribution to the supercurrent, related to the quantum metric of the Bloch
wave function. This anomalous contribution is most important for flat or
quasiflat ban... | 0 | 1 | 0 | 0 | 0 | 0 |
The search for superheavy elements: Historical and philosophical perspectives | The heaviest of the transuranic elements known as superheavy elements (SHE)
are produced in nuclear reactions in a few specialized laboratories located in
Germany, the U.S., Russia, and Japan. The history of this branch of physical
science provides several case studies of interest to the philosophy and
sociology of m... | 0 | 1 | 0 | 0 | 0 | 0 |
MuLoG, or How to apply Gaussian denoisers to multi-channel SAR speckle reduction? | Speckle reduction is a longstanding topic in synthetic aperture radar (SAR)
imaging. Since most current and planned SAR imaging satellites operate in
polarimetric, interferometric or tomographic modes, SAR images are
multi-channel and speckle reduction techniques must jointly process all
channels to recover polarimet... | 0 | 0 | 1 | 1 | 0 | 0 |
Radon Transform for Sheaves | We define the Radon transform functor for sheaves and prove that it is an
equivalence after suitable microlocal localizations. As a result, the sheaf
category associated to a Legendrian is invariant under the Radon transform. We
also manage to place the Radon transform and other transforms in microlocal
sheaf theory ... | 0 | 0 | 1 | 0 | 0 | 0 |
A type theory for synthetic $\infty$-categories | We propose foundations for a synthetic theory of $(\infty,1)$-categories
within homotopy type theory. We axiomatize a directed interval type, then
define higher simplices from it and use them to probe the internal categorical
structures of arbitrary types. We define Segal types, in which binary
composites exist uniqu... | 0 | 0 | 1 | 0 | 0 | 0 |
Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression | High-order parametric models that include terms for feature interactions are
applied to various data mining tasks, where ground truth depends on
interactions of features. However, with sparse data, the high- dimensional
parameters for feature interactions often face three issues: expensive
computation, difficulty in ... | 1 | 0 | 0 | 0 | 0 | 0 |
On the relationship of Mathematics to the real world | In this article, I discuss the relationship of mathematics to the physical
world, and to other spheres of human knowledge. In particular, I argue that
Mathematics is created by human beings, and the number $\pi$ can not be said to
have existed $100,000$ years ago, using the conventional meaning of the word
`exist'.
| 0 | 1 | 1 | 0 | 0 | 0 |
$\mathsf{LLF}_{\cal P}$: a logical framework for modeling external evidence, side conditions, and proof irrelevance using monads | We extend the constructive dependent type theory of the Logical Framework
$\mathsf{LF}$ with monadic, dependent type constructors indexed with predicates
over judgements, called Locks. These monads capture various possible proof
attitudes in establishing the judgment of the object logic encoded by an
$\mathsf{LF}$ ty... | 1 | 0 | 0 | 0 | 0 | 0 |
Laplace equation for the Dirac, Euler and the harmonic oscillator | In this article, we give the explicit solutions to the Laplace equations
associated to the Dirac operator, Euler operator and the harmonic oscillator in
R.
| 0 | 0 | 1 | 0 | 0 | 0 |
Quantifying the Reality Gap in Robotic Manipulation Tasks | We quantify the accuracy of various simulators compared to a real world
robotic reaching and interaction task. Simulators are used in robotics to
design solutions for real world hardware without the need for physical access.
The `reality gap' prevents solutions developed or learnt in simulation from
performing well, ... | 1 | 0 | 0 | 0 | 0 | 0 |
On the character degrees of a Sylow $p$-subgroup of a finite Chevalley group $G(p^f)$ over a bad prime | Let $q$ be a power of a prime $p$ and let $U(q)$ be a Sylow $p$-subgroup of a
finite Chevalley group $G(q)$ defined over the field with $q$ elements. We
first give a parametrization of the set $\text{Irr}(U(q))$ of irreducible
characters of $U(q)$ when $G(q)$ is of type $\mathrm{G}_2$. This is uniform for
primes $p \... | 0 | 0 | 1 | 0 | 0 | 0 |
Zero-Delay Rate Distortion via Filtering for Vector-Valued Gaussian Sources | We deal with zero-delay source coding of a vector-valued Gauss-Markov source
subject to a mean-squared error (MSE) fidelity criterion characterized by the
operational zero-delay vector-valued Gaussian rate distortion function (RDF).
We address this problem by considering the nonanticipative RDF (NRDF) which is
a lowe... | 1 | 0 | 0 | 0 | 0 | 0 |
Damping of gravitational waves by matter | We develop a unified description, via the Boltzmann equation, of damping of
gravitational waves by matter, incorporating collisions. We identify two
physically distinct damping mechanisms -- collisional and Landau damping. We
first consider damping in flat spacetime, and then generalize the results to
allow for cosmo... | 0 | 1 | 0 | 0 | 0 | 0 |
Calibrations for minimal networks in a covering space setting | In this paper we define a notion of calibration for an equivalent approach to
the classical Steiner problem in a covering space setting and we give some
explicit examples. Moreover we introduce the notion of calibration in families:
the idea is to divide the set of competitors in a suitable way, defining an
appropria... | 0 | 0 | 1 | 0 | 0 | 0 |
Universal 3D Wearable Fingerprint Targets: Advancing Fingerprint Reader Evaluations | We present the design and manufacturing of high fidelity universal 3D
fingerprint targets, which can be imaged on a variety of fingerprint sensing
technologies, namely capacitive, contact-optical, and contactless-optical.
Universal 3D fingerprint targets enable, for the first time, not only a
repeatable and controlle... | 1 | 0 | 0 | 0 | 0 | 0 |
The Velocity of the Propagating Wave for Spatially Coupled Systems with Applications to LDPC Codes | We consider the dynamics of message passing for spatially coupled codes and,
in particular, the set of density evolution equations that tracks the profile
of decoding errors along the spatial direction of coupling. It is known that,
for suitable boundary conditions and after a transient phase, the error profile
exhib... | 1 | 1 | 1 | 0 | 0 | 0 |
Voevodsky's conjecture for cubic fourfolds and Gushel-Mukai fourfolds via noncommutative K3 surfaces | In the first part of this paper we will prove the Voevodsky's nilpotence
conjecture for smooth cubic fourfolds and ordinary generic Gushel-Mukai
fourfolds. Then, making use of noncommutative motives, we will prove the
Voevodsky's nilpotence conjecture for generic Gushel-Mukai fourfolds containing
a $\tau$-plane $\G(2... | 0 | 0 | 1 | 0 | 0 | 0 |
Projection-Free Bandit Convex Optimization | In this paper, we propose the first computationally efficient projection-free
algorithm for bandit convex optimization (BCO). We show that our algorithm
achieves a sublinear regret of $O(nT^{4/5})$ (where $T$ is the horizon and $n$
is the dimension) for any bounded convex functions with uniformly bounded
gradients. W... | 0 | 0 | 0 | 1 | 0 | 0 |
The Recommendation System to SNS Community for Tourists by Using Altruistic Behaviors | We have already developed the recommendation system of sightseeing
information on SNS by using smartphone based user participatory sensing system.
The system can post the attractive information for tourists to the specified
Facebook page by our developed smartphone application. The users in Facebook,
who are interest... | 1 | 0 | 0 | 0 | 0 | 0 |
Constructive Stabilization and Pole Placement by Arbitrary Decentralized Architectures | A seminal result in decentralized control is the development of fixed modes
by Wang and Davison in 1973 - that plant modes which cannot be moved with a
static decentralized controller cannot be moved by a dynamic one either, and
that the other modes which can be moved can be shifted to any chosen location
with arbitr... | 1 | 0 | 0 | 0 | 0 | 0 |
Hyperpolarizability and operational magic wavelength in an optical lattice clock | Optical clocks benefit from tight atomic confinement enabling extended
interrogation times as well as Doppler- and recoil-free operation. However,
these benefits come at the cost of frequency shifts that, if not properly
controlled, may degrade clock accuracy. Numerous theoretical studies have
predicted optical latti... | 0 | 1 | 0 | 0 | 0 | 0 |
A Unified Approach to Configuration-based Dynamic Analysis of Quadcopters for Optimal Stability | A special type of rotary-wing Unmanned Aerial Vehicles (UAV), called
Quadcopter have prevailed to the civilian use for the past decade. They have
gained significant amount of attention within the UAV community for their
redundancy and ease of control, despite the fact that they fall under an
under-actuated system cat... | 1 | 0 | 0 | 0 | 0 | 0 |
Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection | Traffic congestion is a widespread problem. Dynamic traffic routing systems
and congestion pricing are getting importance in recent research. Lane
prediction and vehicle density estimation is an important component of such
systems. We introduce a novel problem of vehicle self-positioning which
involves predicting the... | 1 | 0 | 0 | 0 | 0 | 0 |
BPS Algebras, Genus Zero, and the Heterotic Monster | In this note, we expand on some technical issues raised in \cite{PPV} by the
authors, as well as providing a friendly introduction to and summary of our
previous work. We construct a set of heterotic string compactifications to 0+1
dimensions intimately related to the Monstrous moonshine module of Frenkel,
Lepowsky, ... | 0 | 0 | 1 | 0 | 0 | 0 |
Exploiting Nontrivial Connectivity for Automatic Speech Recognition | Nontrivial connectivity has allowed the training of very deep networks by
addressing the problem of vanishing gradients and offering a more efficient
method of reusing parameters. In this paper we make a comparison between
residual networks, densely-connected networks and highway networks on an image
classification t... | 1 | 0 | 0 | 1 | 0 | 0 |
A unified treatment of multiple testing with prior knowledge using the p-filter | There is a significant literature on methods for incorporating knowledge into
multiple testing procedures so as to improve their power and precision. Some
common forms of prior knowledge include (a) beliefs about which hypotheses are
null, modeled by non-uniform prior weights; (b) differing importances of
hypotheses,... | 0 | 0 | 1 | 1 | 0 | 0 |
The flip Markov chain for connected regular graphs | Mahlmann and Schindelhauer (2005) defined a Markov chain which they called
$k$-Flipper, and showed that it is irreducible on the set of all connected
regular graphs of a given degree (at least 3). We study the 1-Flipper chain,
which we call the flip chain, and prove that the flip chain converges rapidly
to the unifor... | 1 | 0 | 1 | 0 | 0 | 0 |
FPGA-based ORB Feature Extraction for Real-Time Visual SLAM | Simultaneous Localization And Mapping (SLAM) is the problem of constructing
or updating a map of an unknown environment while simultaneously keeping track
of an agent's location within it. How to enable SLAM robustly and durably on
mobile, or even IoT grade devices, is the main challenge faced by the industry
today. ... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Transformation of Latent Space in Autoencoders | Noting the importance of the latent variables in inference and learning, we
propose a novel framework for autoencoders based on the homeomorphic
transformation of latent variables --- which could reduce the distance between
vectors in the transformed space, while preserving the topological properties
of the original ... | 1 | 0 | 0 | 1 | 0 | 0 |
Log-Convexity of Weighted Area Integral Means of $H^p$ Functions on the Upper Half-plan | In the present work weighted area integral means $M_{p,\varphi}(f;{\mathrm
{Im}}z)$ are studied and it is proved that the function $y\to \log
M_{p,\varphi}(f;y)$ is convex in the case when $f$ belongs to a Hardy space on
the upper half-plane.
| 0 | 0 | 1 | 0 | 0 | 0 |
From Nodal Chain Semimetal To Weyl Semimetal in HfC | Based on first-principles calculations and effective model analysis, we
propose that the WC-type HfC, in the absence of spin-orbit coupling (SOC), can
host a three-dimensional nodal chain semimetal state. Distinguished from the
previous material IrF4 [T. Bzdusek et al., Nature 538, 75 (2016)], the nodal
chain here is... | 0 | 1 | 0 | 0 | 0 | 0 |
Protein and hydration-water dynamics are decoupled: A new model connecting dynamics and biochemical function is required | Water plays a major role in bio-systems, greatly contributing to determine
their structure, stability and even function. It is well know, for instance,
that proteins require a minimum amount of water to be functionally active.
Since the biological functions of proteins involve changes of conformation, and
sometimes c... | 0 | 1 | 0 | 0 | 0 | 0 |
Lakshmibai-Seshadri paths for hyperbolic Kac-Moody algebras of rank $2$ | Let $\mathfrak{g}$ be a hyperbolic Kac-Moody algebra of rank $2$, and set
$\lambda: = \Lambda_1 - \Lambda_2$, where $\Lambda_1, \Lambda_2$ are the
fundamental weights for $\mathfrak{g}$; note that $\lambda$ is neither dominant
nor antidominant. Let $\mathbb{B}(\lambda)$ be the crystal of all
Lakshmibai-Seshadri paths... | 0 | 0 | 1 | 0 | 0 | 0 |
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization | Affine policies (or control) are widely used as a solution approach in
dynamic optimization where computing an optimal adjustable solution is usually
intractable. While the worst case performance of affine policies can be
significantly bad, the empirical performance is observed to be near-optimal for
a large class of... | 0 | 0 | 1 | 0 | 0 | 0 |
Hausdorff operators on modulation and Wiener amalgam spaces | We give the sharp conditions for boundedness of Hausdorff operators on
certain modulation and Wiener amalgam spaces.
| 0 | 0 | 1 | 0 | 0 | 0 |
From Deep to Shallow: Transformations of Deep Rectifier Networks | In this paper, we introduce transformations of deep rectifier networks,
enabling the conversion of deep rectifier networks into shallow rectifier
networks. We subsequently prove that any rectifier net of any depth can be
represented by a maximum of a number of functions that can be realized by a
shallow network with ... | 1 | 0 | 0 | 1 | 0 | 0 |
Second-order Convolutional Neural Networks | Convolutional Neural Networks (CNNs) have been successfully applied to many
computer vision tasks, such as image classification. By performing linear
combinations and element-wise nonlinear operations, these networks can be
thought of as extracting solely first-order information from an input image. In
the past, howe... | 1 | 0 | 0 | 0 | 0 | 0 |
On the quasi-sure superhedging duality with frictions | We prove the superhedging duality for a discrete-time financial market with
proportional transaction costs under portfolio constraints and model
uncertainty. Frictions are modeled through solvency cones as in the original
model of [Kabanov, Y., Hedging and liquidation under transaction costs in
currency markets. Fin.... | 0 | 0 | 0 | 0 | 0 | 1 |
The Gaia-ESO Survey: low-alpha element stars in the Galactic Bulge | We take advantage of the Gaia-ESO Survey iDR4 bulge data to search for
abundance anomalies that could shed light on the composite nature of the Milky
Way bulge. The alpha-elements (Mg, Si, and whenever available, Ca) abundances,
and their trends with Fe abundances have been analysed for a total of 776 bulge
stars. In... | 0 | 1 | 0 | 0 | 0 | 0 |
On Kedlaya type inequalities for weighted means | In 2016 we proved that for every symmetric, repetition invariant and Jensen
concave mean $\mathscr{M}$ the Kedlaya-type inequality $$
\mathscr{A}\big(x_1,\mathscr{M}(x_1,x_2),\ldots,\mathscr{M}(x_1,\ldots,x_n)\big)\le
\mathscr{M} \big(x_1,
\mathscr{A}(x_1,x_2),\ldots,\mathscr{A}(x_1,\ldots,x_n)\big) $$ holds for an
a... | 0 | 0 | 1 | 0 | 0 | 0 |
Mesh-free Semi-Lagrangian Methods for Transport on a Sphere Using Radial Basis Functions | We present three new semi-Lagrangian methods based on radial basis function
(RBF) interpolation for numerically simulating transport on a sphere. The
methods are mesh-free and are formulated entirely in Cartesian coordinates,
thus avoiding any irregular clustering of nodes at artificial boundaries on the
sphere and n... | 1 | 0 | 0 | 0 | 0 | 0 |
Spatial Models with the Integrated Nested Laplace Approximation within Markov Chain Monte Carlo | The Integrated Nested Laplace Approximation (INLA) is a convenient way to
obtain approximations to the posterior marginals for parameters in Bayesian
hierarchical models when the latent effects can be expressed as a Gaussian
Markov Random Field (GMRF). In addition, its implementation in the R-INLA
package for the R s... | 0 | 0 | 0 | 1 | 0 | 0 |
Prediction-Constrained Topic Models for Antidepressant Recommendation | Supervisory signals can help topic models discover low-dimensional data
representations that are more interpretable for clinical tasks. We propose a
framework for training supervised latent Dirichlet allocation that balances two
goals: faithful generative explanations of high-dimensional data and accurate
prediction ... | 1 | 0 | 0 | 1 | 0 | 0 |
Casimir-Polder force fluctuations as spatial probes of dissipation in metals | We study the spatial fluctuations of the Casimir-Polder force experienced by
an atom or a small sphere moved above a metallic plate at fixed separation
distance. We demonstrate that unlike the mean force, the magnitude of these
fluctuations crucially relies on the relaxation of conduction electron in the
metallic bul... | 0 | 1 | 0 | 0 | 0 | 0 |
A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels | Non-linear kernel methods can be approximated by fast linear ones using
suitable explicit feature maps allowing their application to large scale
problems. To this end, explicit feature maps of kernels for vectorial data have
been extensively studied. As many real-world data is structured, various
kernels for complex ... | 1 | 0 | 0 | 1 | 0 | 0 |
Predicting Adolescent Suicide Attempts with Neural Networks | Though suicide is a major public health problem in the US, machine learning
methods are not commonly used to predict an individual's risk of
attempting/committing suicide. In the present work, starting with an anonymized
collection of electronic health records for 522,056 unique, California-resident
adolescents, we d... | 1 | 0 | 0 | 1 | 0 | 0 |
Designing RNA Secondary Structures is Hard | An RNA sequence is a word over an alphabet on four elements $\{A,C,G,U\}$
called bases. RNA sequences fold into secondary structures where some bases
match one another while others remain unpaired. Pseudoknot-free secondary
structures can be represented as well-parenthesized expressions with additional
dots, where pa... | 1 | 0 | 0 | 0 | 0 | 0 |
Towards Understanding the Impact of Human Mobility on Police Allocation | Motivated by recent findings that human mobility is proxy for crime behavior
in big cities and that there is a superlinear relationship between the people's
movement and crime, this article aims to evaluate the impact of how these
findings influence police allocation. More precisely, we shed light on the
differences ... | 1 | 1 | 0 | 0 | 0 | 0 |
Normality and Related Properties of Forcing Algebras | We present a sufficient condition for irreducibility of forcing algebras and
study the (non)-reducedness phenomenon. Furthermore, we prove a criterion for
normality for forcing algebras over a polynomial base ring with coefficients in
a perfect field. This gives a geometrical normality criterion for algebraic
(forcin... | 0 | 0 | 1 | 0 | 0 | 0 |
Training Triplet Networks with GAN | Triplet networks are widely used models that are characterized by good
performance in classification and retrieval tasks. In this work we propose to
train a triplet network by putting it as the discriminator in Generative
Adversarial Nets (GANs). We make use of the good capability of representation
learning of the di... | 1 | 0 | 0 | 1 | 0 | 0 |
Recovering Pairwise Interactions Using Neural Networks | Recovering pairwise interactions, i.e. pairs of input features whose joint
effect on an output is different from the sum of their marginal effects, is
central in many scientific applications. We conceptualize a solution to this
problem as a two-stage procedure: first, we model the relationship between the
features an... | 1 | 0 | 0 | 1 | 0 | 0 |
Boundary Algebraic Bethe Ansatz for a nineteen vertex model with $U_{q}[\mathrm{osp}(2|2)^{(2)}] symmetry$ | The boundary algebraic Bethe Ansatz for a supersymmetric nineteen
vertex-model constructed from a three-dimensional representation of the twisted
quantum affine Lie superalgebra $U_{q}[\mathrm{osp}(2|2)^{(2)}]$ is presented.
The eigenvalues and eigenvectors of Sklyanin's transfer matrix, with diagonal
reflection $K$-... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal cost for strengthening or destroying a given network | Strengthening or destroying a network is a very important issue in designing
resilient networks or in planning attacks against networks including planning
strategies to immunize a network against diseases, viruses etc.. Here we
develop a method for strengthening or destroying a random network with a
minimum cost. We ... | 0 | 1 | 0 | 0 | 0 | 0 |
Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder | Reparameterization of variational auto-encoders with continuous latent spaces
is an effective method for reducing the variance of their gradient estimates.
However, using the same approach when latent variables are discrete is
problematic, due to the resulting non-differentiable objective. In this work,
we present a ... | 0 | 0 | 0 | 1 | 0 | 0 |
Orbit classification in the Hill problem: I. The classical case | The case of the classical Hill problem is numerically investigated by
performing a thorough and systematic classification of the initial conditions
of the orbits. More precisely, the initial conditions of the orbits are
classified into four categories: (i) non-escaping regular orbits; (ii) trapped
chaotic orbits; (ii... | 0 | 1 | 0 | 0 | 0 | 0 |
Bio-Inspired Local Information-Based Control for Probabilistic Swarm Distribution Guidance | This paper addresses a task allocation problem for a large-scale robotic
swarm, namely swarm distribution guidance problem. Unlike most of the existing
frameworks handling this problem, the proposed framework suggests utilising
local information available to generate its time-varying stochastic policies.
As each agen... | 0 | 0 | 1 | 1 | 0 | 0 |
Simultaneous Confidence Band for Partially Linear Panel Data Models with Fixed Effects | In this paper, we construct the simultaneous confidence band (SCB) for the
nonparametric component in partially linear panel data models with fixed
effects. We remove the fixed effects, and further obtain the estimators of
parametric and nonparametric components, which do not depend on the fixed
effects. We establish... | 0 | 0 | 0 | 1 | 0 | 0 |
Tent--Shaped Surface Morphologies of Silicon: Texturization by Metal Induced Etching | Nano--metal/semiconductor junction dependent porosification of silicon (Si)
has been studied here. The silicon (Si) nanostructures (NS) have been textured
on n-- and p-- type silicon wafers using Ag and Au metal nano particles induced
chemical etching. The combinations of n--Si/Ag and p--Si/Au form ohmic contact
and ... | 0 | 1 | 0 | 0 | 0 | 0 |
Attention networks for image-to-text | The paper approaches the problem of image-to-text with attention-based
encoder-decoder networks that are trained to handle sequences of characters
rather than words. We experiment on lines of text from a popular handwriting
database with different attention mechanisms for the decoder. The model trained
with softmax a... | 0 | 0 | 0 | 1 | 0 | 0 |
A Monocular Vision System for Playing Soccer in Low Color Information Environments | Humanoid soccer robots perceive their environment exclusively through
cameras. This paper presents a monocular vision system that was originally
developed for use in the RoboCup Humanoid League, but is expected to be
transferable to other soccer leagues. Recent changes in the Humanoid League
rules resulted in a socce... | 1 | 0 | 0 | 0 | 0 | 0 |
Low-shot learning with large-scale diffusion | This paper considers the problem of inferring image labels from images when
only a few annotated examples are available at training time. This setup is
often referred to as low-shot learning, where a standard approach is to
re-train the last few layers of a convolutional neural network learned on
separate classes for... | 1 | 0 | 0 | 1 | 0 | 0 |
Instrumentation and its Interaction with the Secondary Beam for the Fermilab Muon Campus | The Fermilab Muon Campus will host the Muon g-2 experiment - a world class
experiment dedicated to the search for signals of new physics. Strict demands
are placed on beam diagnostics in order to ensure delivery of high quality
beams to the storage ring with minimal losses. In this study, we briefly
describe the avai... | 0 | 1 | 0 | 0 | 0 | 0 |
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