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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Gradient descent GAN optimization is locally stable | Despite the growing prominence of generative adversarial networks (GANs),
optimization in GANs is still a poorly understood topic. In this paper, we
analyze the "gradient descent" form of GAN optimization i.e., the natural
setting where we simultaneously take small gradient steps in both generator and
discriminator p... | 1 | 0 | 1 | 1 | 0 | 0 |
Transition rates and radiative lifetimes of Ca I | We tabulate spontaneous emission rates for all possible 811
electric-dipole-allowed transitions between the 75 lowest-energy states of Ca
I. These involve the $4sns$ ($n=4-8$), $4snp$ ($n=4-7$), $4snd$ ($n=3-6$),
$4snf$ ($n=4-6$), $4p^2$, and $3d4p$ electronic configurations. We compile the
transition rates by carryi... | 0 | 1 | 0 | 0 | 0 | 0 |
Defect entropies and enthalpies in Barium Fluoride | Various experimental techniques, have revealed that the predominant intrinsic
point defects in BaF$_2$ are anion Frenkel defects. Their formation enthalpy
and entropy as well as the corresponding parameters for the fluorine vacancy
and fluorine interstitial motion have been determined. In addition, low
temperature di... | 0 | 1 | 0 | 0 | 0 | 0 |
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning | Exploration in complex domains is a key challenge in reinforcement learning,
especially for tasks with very sparse rewards. Recent successes in deep
reinforcement learning have been achieved mostly using simple heuristic
exploration strategies such as $\epsilon$-greedy action selection or Gaussian
control noise, but ... | 1 | 0 | 0 | 0 | 0 | 0 |
Local and collective magnetism of EuFe$_2$As$_2$ | We present an experimental study of the local and collective magnetism of
$\mathrm{EuFe_2As_2}$, that is isostructural with the high temperature
superconductor parent compound $\mathrm{BaFe_2As_2}$. In contrast to
$\mathrm{BaFe_2As_2}$, where only Fe spins order, $\mathrm{EuFe_2As_2}$ has an
additional magnetic trans... | 0 | 1 | 0 | 0 | 0 | 0 |
Newton slopes for twisted Artin--Schreier--Witt Towers | We fix a monic polynomial $f(x) \in \mathbb F_q[x]$ over a finite field of
characteristic $p$ of degree relatively prime to $p$. Let $a\mapsto \omega(a)$
be the Teichmüller lift of $\mathbb F_q$, and let $\chi:\mathbb{Z}\to \mathbb
C_p^\times$ be a finite character of $\mathbb Z_p$. The $L$-function associated
to the... | 0 | 0 | 1 | 0 | 0 | 0 |
Active model learning and diverse action sampling for task and motion planning | The objective of this work is to augment the basic abilities of a robot by
learning to use new sensorimotor primitives to enable the solution of complex
long-horizon problems. Solving long-horizon problems in complex domains
requires flexible generative planning that can combine primitive abilities in
novel combinati... | 1 | 0 | 0 | 1 | 0 | 0 |
End-to-end distance and contour length distribution functions of DNA helices | We present a computational method to evaluate the end-to-end and the contour
length distribution functions of short DNA molecules described by a mesoscopic
Hamiltonian. The method generates a large statistical ensemble of possible
configurations for each dimer in the sequence, selects the global equilibrium
twist con... | 0 | 0 | 0 | 0 | 1 | 0 |
Online Estimation of Multiple Dynamic Graphs in Pattern Sequences | Many time-series data including text, movies, and biological signals can be
represented as sequences of correlated binary patterns. These patterns may be
described by weighted combinations of a few dominant structures that underpin
specific interactions among the binary elements. To extract the dominant
correlation s... | 1 | 0 | 0 | 1 | 1 | 0 |
Fluid Communities: A Competitive, Scalable and Diverse Community Detection Algorithm | We introduce a community detection algorithm (Fluid Communities) based on the
idea of fluids interacting in an environment, expanding and contracting as a
result of that interaction. Fluid Communities is based on the propagation
methodology, which represents the state-of-the-art in terms of computational
cost and sca... | 1 | 1 | 0 | 0 | 0 | 0 |
Identification of Dynamic Systems with Interval Arithmetic | This paper aims to identify three electrical systems: a series RLC circuit, a
motor/generator coupled system, and the Duffing-Ueda oscillator. In order to
obtain the system's models was used the error reduction ratio and the Akaike
information criterion. Our approach to handle the numerical errors was the
interval ar... | 1 | 0 | 0 | 0 | 0 | 0 |
Four Fundamental Questions in Probability Theory and Statistics | This study has the purpose of addressing four questions that lie at the base
of the probability theory and statistics, and includes two main steps. As
first, we conduct the textual analysis of the most significant works written by
eminent probability theorists. The textual analysis turns out to be a rather
innovative... | 0 | 0 | 0 | 1 | 0 | 0 |
Connections on parahoric torsors over curves | We define parahoric $\cG$--torsors for certain Bruhat--Tits group scheme
$\cG$ on a smooth complex projective curve $X$ when the weights are real, and
also define connections on them. We prove that a $\cG$--torsor is given by a
homomorphism from $\pi_1(X\setminus D)$ to a maximal compact subgroup of $G$,
where $D\, \... | 0 | 0 | 1 | 0 | 0 | 0 |
On Reduced Input-Output Dynamic Mode Decomposition | The identification of reduced-order models from high-dimensional data is a
challenging task, and even more so if the identified system should not only be
suitable for a certain data set, but generally approximate the input-output
behavior of the data source. In this work, we consider the input-output dynamic
mode dec... | 1 | 0 | 0 | 0 | 0 | 0 |
Safety-Aware Apprenticeship Learning | Apprenticeship learning (AL) is a kind of Learning from Demonstration
techniques where the reward function of a Markov Decision Process (MDP) is
unknown to the learning agent and the agent has to derive a good policy by
observing an expert's demonstrations. In this paper, we study the problem of
how to make AL algori... | 1 | 0 | 0 | 0 | 0 | 0 |
Solitary wave solutions and their interactions for fully nonlinear water waves with surface tension in the generalized Serre equations | Some effects of surface tension on fully-nonlinear, long, surface water waves
are studied by numerical means. The differences between various solitary waves
and their interactions in subcritical and supercritical surface tension regimes
are presented. Analytical expressions for new peaked travelling wave solutions
ar... | 0 | 1 | 1 | 0 | 0 | 0 |
Relative weak mixing of W*-dynamical systems via joinings | A characterization of relative weak mixing in W*-dynamical systems in terms
of a relatively independent joining is proven.
| 0 | 0 | 1 | 0 | 0 | 0 |
An assessment of Fe XX - Fe XXII emission lines in SDO/EVE data as diagnostics for high density solar flare plasmas using EUVE stellar observations | The Extreme Ultraviolet Variability Experiment (EVE) on the Solar Dynamics
Observatory obtains extreme-ultraviolet (EUV) spectra of the full-disk Sun at a
spectral resolution of ~1 A and cadence of 10 s. Such a spectral resolution
would normally be considered to be too low for the reliable determination of
electron d... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-Scale Spatially Weighted Local Histograms in O(1) | Weighting pixel contribution considering its location is a key feature in
many fundamental image processing tasks including filtering, object modeling
and distance matching. Several techniques have been proposed that incorporate
Spatial information to increase the accuracy and boost the performance of
detection, trac... | 1 | 0 | 0 | 0 | 0 | 0 |
A note on minimal dispersion of point sets in the unit cube | We study the dispersion of a point set, a notion closely related to the
discrepancy. Given a real $r\in (0,1)$ and an integer $d\geq 2$, let $N(r,d)$
denote the minimum number of points inside the $d$-dimensional unit cube
$[0,1]^d$ such that they intersect every axis-aligned box inside $[0,1]^d$ of
volume greater th... | 1 | 0 | 0 | 0 | 0 | 0 |
Limit theorems in bi-free probability theory | In this paper additive bi-free convolution is defined for general Borel
probability measures, and the limiting distributions for sums of bi-free pairs
of selfadjoint commuting random variables in an infinitesimal triangular array
are determined. These distributions are characterized by their bi-freely
infinite divisi... | 0 | 0 | 1 | 0 | 0 | 0 |
Axiomatisability and hardness for universal Horn classes of hypergraphs | We characterise finite axiomatisability and intractability of deciding
membership for universal Horn classes generated by finite loop-free
hypergraphs.
| 1 | 0 | 1 | 0 | 0 | 0 |
Snyder Like Modified Gravity in Newton's Spacetime | This work is focused on searching a geodesic interpretation of the dynamics
of a particle under the effects of a Snyder like deformation in the background
of the Kepler problem. In order to accomplish that task, a newtonian spacetime
is used. Newtonian spacetime is not a metric manifold, but allows to introduce
a tor... | 0 | 1 | 0 | 0 | 0 | 0 |
Dissipatively Coupled Waveguide Networks for Coherent Diffusive Photonics | A photonic circuit is generally described as a structure in which light
propagates by unitary exchange and transfers reversibly between channels. In
contrast, the term `diffusive' is more akin to a chaotic propagation in
scattering media, where light is driven out of coherence towards a thermal
mixture. Based on the ... | 0 | 1 | 0 | 0 | 0 | 0 |
Inadequate Risk Analysis Might Jeopardize The Functional Safety of Modern Systems | In the early 90s, researchers began to focus on security as an important
property to address in combination with safety. Over the years, researchers
have proposed approaches to harmonize activities within the safety and security
disciplines. Despite the academic efforts to identify interdependencies and to
propose co... | 1 | 0 | 0 | 0 | 0 | 0 |
Simultaneous determination of the drift and diffusion coefficients in stochastic differential equations | In this work, we consider a one-dimensional It{ô} diffusion process X t
with possibly nonlinear drift and diffusion coefficients. We show that, when
the diffusion coefficient is known, the drift coefficient is uniquely
determined by an observation of the expectation of the process during a small
time interval, and st... | 0 | 0 | 1 | 0 | 0 | 0 |
A compactness theorem for four-dimensional shrinking gradient Ricci solitons | Haslhofer and Müller proved a compactness Theorem for four-dimensional
shrinking gradient Ricci solitons, with the only assumption being that the
entropy is uniformly bounded from below. However, the limit in their result
could possibly be an orbifold Ricci shrinker. In this paper we prove a
compactness theorem for n... | 0 | 0 | 1 | 0 | 0 | 0 |
Demand-Independent Optimal Tolls | Wardrop equilibria in nonatomic congestion games are in general inefficient
as they do not induce an optimal flow that minimizes the total travel time.
Network tolls are a prominent and popular way to induce an optimum flow in
equilibrium. The classical approach to find such tolls is marginal cost pricing
which requi... | 1 | 0 | 0 | 0 | 0 | 0 |
An analytic formulation for positive-unlabeled learning via weighted integral probability metric | We consider the problem of learning a binary classifier from only positive
and unlabeled observations (PU learning). Although recent research in PU
learning has succeeded in showing theoretical and empirical performance, most
existing algorithms need to solve either a convex or a non-convex optimization
problem and t... | 1 | 0 | 0 | 1 | 0 | 0 |
Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor | Knights Landing (KNL) is the code name for the second-generation Intel Xeon
Phi product family. KNL has generated significant interest in the data analysis
and machine learning communities because its new many-core architecture targets
both of these workloads. The KNL many-core vector processor design enables it
to e... | 1 | 1 | 0 | 0 | 0 | 0 |
A Proof of the Conjecture of Lehmer and of the Conjecture of Schinzel-Zassenhaus | The conjecture of Lehmer is proved to be true. The proof mainly relies upon:
(i) the properties of the Parry Upper functions $f_{house(\alpha)}(z)$
associated with the dynamical zeta functions $\zeta_{house(\alpha)}(z)$ of the
Rényi--Parry arithmetical dynamical systems, for $\alpha$ an algebraic
integer $\alpha$ of ... | 0 | 0 | 1 | 0 | 0 | 0 |
Pseudo asymptotically periodic solutions for fractional integro-differential neutral equations | In this paper, we study the existence and uniqueness of pseudo
$S$-asymptotically $\omega$-periodic mild solutions of class $r$ for fractional
integro-differential neutral equations. An example is presented to illustrate
the application of the abstract results.
| 0 | 0 | 1 | 0 | 0 | 0 |
Updating the silent speech challenge benchmark with deep learning | The 2010 Silent Speech Challenge benchmark is updated with new results
obtained in a Deep Learning strategy, using the same input features and
decoding strategy as in the original article. A Word Error Rate of 6.4% is
obtained, compared to the published value of 17.4%. Additional results
comparing new auto-encoder-ba... | 1 | 0 | 0 | 0 | 0 | 0 |
Magnetic field control of cycloidal domains and electric polarization in multiferroic BiFeO$_3$ | The magnetic field induced rearrangement of the cycloidal spin structure in
ferroelectric mono-domain single crystals of the room-temperature multiferroic
BiFeO$_3$ is studied using small-angle neutron scattering (SANS). The cycloid
propagation vectors are observed to rotate when magnetic fields applied
perpendicular... | 0 | 1 | 0 | 0 | 0 | 0 |
DepQBF 6.0: A Search-Based QBF Solver Beyond Traditional QCDCL | We present the latest major release version 6.0 of the quantified Boolean
formula (QBF) solver DepQBF, which is based on QCDCL. QCDCL is an extension of
the conflict-driven clause learning (CDCL) paradigm implemented in state of the
art propositional satisfiability (SAT) solvers. The Q-resolution calculus
(QRES) is a... | 1 | 0 | 0 | 0 | 0 | 0 |
On Optimization of Radiative Dipole Body Array Coils for 7 Tesla MRI | In this contribution we present numerical and experimental results of a
parametric study of radiative dipole antennas in a phased array configuration
for efficient body magnetic resonance imaging at 7T via parallel transmit. For
magnetic resonance imaging (MRI) at ultrahigh fields (7T and higher) dipole
antennas are ... | 0 | 1 | 0 | 0 | 0 | 0 |
Speaking Style Authentication Using Suprasegmental Hidden Markov Models | The importance of speaking style authentication from human speech is gaining
an increasing attention and concern from the engineering community. The
importance comes from the demand to enhance both the naturalness and efficiency
of spoken language human-machine interface. Our work in this research focuses
on proposin... | 1 | 0 | 0 | 0 | 0 | 0 |
A fixed point formula and Harish-Chandra's character formula | The main result in this paper is a fixed point formula for equivariant
indices of elliptic differential operators, for proper actions by connected
semisimple Lie groups on possibly noncompact manifolds, with compact quotients.
For compact groups and manifolds, this reduces to the Atiyah-Segal-Singer fixed
point formu... | 0 | 0 | 1 | 0 | 0 | 0 |
The phonon softening due to melting of the ferromagnetic order in elemental iron | We study the fundamental question of the lattice dynamics of a metallic
ferromagnet in the regime where the static long range magnetic order is
replaced by the fluctuating local moments embedded in a metallic host. We use
the \textit{ab initio} Density Functional Theory(DFT)+embedded Dynamical
Mean-Field Theory(eDMFT... | 0 | 1 | 0 | 0 | 0 | 0 |
Decomposing manifolds into Cartesian products | The decomposability of a Cartesian product of two nondecomposable manifolds
into products of lower dimensional manifolds is studied. For 3-manifolds we
obtain an analog of a result due to Borsuk for surfaces, and in higher
dimensions we show that similar analogs do not exist unless one imposes further
restrictions su... | 0 | 0 | 1 | 0 | 0 | 0 |
Performance of the MAGIC telescopes under moonlight | MAGIC, a system of two imaging atmospheric Cherenkov telescopes, achieves its
best performance under dark conditions, i.e. in absence of moonlight or
twilight. Since operating the telescopes only during dark time would severely
limit the duty cycle, observations are also performed when the Moon is present
in the sky.... | 0 | 1 | 0 | 0 | 0 | 0 |
Mastering Heterogeneous Behavioural Models | Heterogeneity is one important feature of complex systems, leading to the
complexity of their construction and analysis. Moving the heterogeneity at
model level helps in mastering the difficulty of composing heterogeneous models
which constitute a large system. We propose a method made of an algebra and
structure mor... | 1 | 0 | 0 | 0 | 0 | 0 |
Approximation and Convergence Properties of Generative Adversarial Learning | Generative adversarial networks (GAN) approximate a target data distribution
by jointly optimizing an objective function through a "two-player game" between
a generator and a discriminator. Despite their empirical success, however, two
very basic questions on how well they can approximate the target distribution
rema... | 1 | 0 | 0 | 1 | 0 | 0 |
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks | The World Health Organization (WHO) reported 1.25 million deaths yearly due
to road traffic accidents worldwide and the number has been continuously
increasing over the last few years. Nearly fifth of these accidents are caused
by distracted drivers. Existing work of distracted driver detection is
concerned with a sm... | 1 | 0 | 0 | 1 | 0 | 0 |
Driver Action Prediction Using Deep (Bidirectional) Recurrent Neural Network | Advanced driver assistance systems (ADAS) can be significantly improved with
effective driver action prediction (DAP). Predicting driver actions early and
accurately can help mitigate the effects of potentially unsafe driving
behaviors and avoid possible accidents. In this paper, we formulate driver
action prediction... | 1 | 0 | 0 | 1 | 0 | 0 |
A simple neural network module for relational reasoning | Relational reasoning is a central component of generally intelligent
behavior, but has proven difficult for neural networks to learn. In this paper
we describe how to use Relation Networks (RNs) as a simple plug-and-play module
to solve problems that fundamentally hinge on relational reasoning. We tested
RN-augmented... | 1 | 0 | 0 | 0 | 0 | 0 |
Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD | We propose a new algorithm for the computation of a singular value
decomposition (SVD) low-rank approximation of a matrix in the Matrix Product
Operator (MPO) format, also called the Tensor Train Matrix format. Our tensor
network randomized SVD (TNrSVD) algorithm is an MPO implementation of the
randomized SVD algorit... | 1 | 0 | 0 | 0 | 0 | 0 |
Path Cover and Path Pack Inequalities for the Capacitated Fixed-Charge Network Flow Problem | Capacitated fixed-charge network flows are used to model a variety of
problems in telecommunication, facility location, production planning and
supply chain management. In this paper, we investigate capacitated path
substructures and derive strong and easy-to-compute \emph{path cover and path
pack inequalities}. Thes... | 1 | 0 | 1 | 0 | 0 | 0 |
Bridging the Gap Between Value and Policy Based Reinforcement Learning | We establish a new connection between value and policy based reinforcement
learning (RL) based on a relationship between softmax temporal value
consistency and policy optimality under entropy regularization. Specifically,
we show that softmax consistent action values correspond to optimal entropy
regularized policy p... | 1 | 0 | 0 | 1 | 0 | 0 |
Chalcogenide Glass-on-Graphene Photonics | Two-dimensional (2-D) materials are of tremendous interest to integrated
photonics given their singular optical characteristics spanning light emission,
modulation, saturable absorption, and nonlinear optics. To harness their
optical properties, these atomically thin materials are usually attached onto
prefabricated ... | 0 | 1 | 0 | 0 | 0 | 0 |
Speaker verification using end-to-end adversarial language adaptation | In this paper we investigate the use of adversarial domain adaptation for
addressing the problem of language mismatch between speaker recognition
corpora. In the context of speaker verification, adversarial domain adaptation
methods aim at minimizing certain divergences between the distribution that the
utterance-lev... | 1 | 0 | 0 | 0 | 0 | 0 |
Real elliptic curves and cevian geometry | We study the elliptic curve $E_a: (ax+1)y^2+(ax+1)(x-1)y+x^2-x=0$, which we
call the geometric normal form of an elliptic curve. We show that any elliptic
curve whose $j$-invariant is real is isomorphic to a curve $E_a$ in geometric
normal form, and show that for $a \notin \{0, -1, -9\}$, the points on $E_a$,
minus a... | 0 | 0 | 1 | 0 | 0 | 0 |
Omni $n$-Lie algebras and linearization of higher analogues of Courant algebroids | In this paper, we introduce the notion of an omni $n$-Lie algebra and show
that they are linearization of higher analogues of standard Courant algebroids.
We also introduce the notion of a nonabelian omni $n$-Lie algebra and show that
they are linearization of higher analogues of Courant algebroids associated to
Namb... | 0 | 0 | 1 | 0 | 0 | 0 |
Musical Instrument Recognition Using Their Distinctive Characteristics in Artificial Neural Networks | In this study an Artificial Neural Network was trained to classify musical
instruments, using audio samples transformed to the frequency domain. Different
features of the sound, in both time and frequency domain, were analyzed and
compared in relation to how much information that could be derived from that
limited da... | 1 | 0 | 0 | 1 | 0 | 0 |
Revealing structure components of the retina by deep learning networks | Deep convolutional neural networks (CNNs) have demonstrated impressive
performance on visual object classification tasks. In addition, it is a useful
model for predication of neuronal responses recorded in visual system. However,
there is still no clear understanding of what CNNs learn in terms of visual
neuronal cir... | 0 | 0 | 0 | 1 | 0 | 0 |
Generalized Yangians and their Poisson counterparts | By a generalized Yangian we mean a Yangian-like algebra of one of two
classes. One of these classes consists of the so-called braided Yangians,
introduced in our previous paper. The braided Yangians are in a sense similar
to the reflection equation algebra. The generalized Yangians of second class,
called the Yangian... | 0 | 0 | 1 | 0 | 0 | 0 |
Asymptotics of Hankel determinants with a one-cut regular potential and Fisher-Hartwig singularities | We obtain asymptotics of large Hankel determinants whose weight depends on a
one-cut regular potential and any number of Fisher-Hartwig singularities. This
generalises two results: 1) a result of Berestycki, Webb and Wong [5] for
root-type singularities, and 2) a result of Its and Krasovsky [37] for a
Gaussian weight... | 0 | 0 | 1 | 0 | 0 | 0 |
Beyond linear galaxy alignments | Galaxy intrinsic alignments (IA) are a critical uncertainty for current and
future weak lensing measurements. We describe a perturbative expansion of IA,
analogous to the treatment of galaxy biasing. From an astrophysical
perspective, this model includes the expected large-scale alignment mechanisms
for galaxies that... | 0 | 1 | 0 | 0 | 0 | 0 |
Modelling thermo-electro-mechanical effects in orthotropic cardiac tissue | In this paper we introduce a new mathematical model for the active
contraction of cardiac muscle, featuring different thermo-electric and
nonlinear conductivity properties. The passive hyperelastic response of the
tissue is described by an orthotropic exponential model, whereas the ionic
activity dictates active cont... | 0 | 0 | 0 | 0 | 1 | 0 |
Debt-Prone Bugs: Technical Debt in Software Maintenance | Fixing bugs is an important phase in software development and maintenance. In
practice, the process of bug fixing may conflict with the release schedule.
Such confliction leads to a trade-off between software quality and release
schedule, which is known as the technical debt metaphor. In this article, we
propose the ... | 1 | 0 | 0 | 0 | 0 | 0 |
Khovanov-Rozansky homology and higher Catalan sequences | We give a simple recursion which computes the triply graded Khovanov-Rozansky
homology of several infinite families of knots and links, including the
$(n,nm\pm 1)$ and $(n,nm)$ torus links for $n,m\geq 1$. We interpret our
results in terms of Catalan combinatorics, proving a conjecture of Gorsky's.
Our computations a... | 0 | 0 | 1 | 0 | 0 | 0 |
New face of multifractality: Multi-branched left-sidedness and phase transitions in multifractality of interevent times | We develop an extended multifractal analysis based on the Legendre-Fenchel
transform rather than the routinely used Legendre transform. We apply this
analysis to studying time series consisting of inter-event times. As a result,
we discern the non-monotonic behavior of the generalized Hurst exponent - the
fundamental... | 0 | 0 | 0 | 0 | 0 | 1 |
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions | By building up on the recent theory that established the connection between
implicit generative modeling and optimal transport, in this study, we propose a
novel parameter-free algorithm for learning the underlying distributions of
complicated datasets and sampling from them. The proposed algorithm is based on
a func... | 0 | 0 | 0 | 1 | 0 | 0 |
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization | Iterative Hard Thresholding (IHT) is a class of projected gradient descent
methods for optimizing sparsity-constrained minimization models, with the best
known efficiency and scalability in practice. As far as we know, the existing
IHT-style methods are designed for sparse minimization in primal form. It
remains open... | 1 | 0 | 0 | 1 | 0 | 0 |
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? | Binary neural networks (BNN) have been studied extensively since they run
dramatically faster at lower memory and power consumption than floating-point
networks, thanks to the efficiency of bit operations. However, contemporary
BNNs whose weights and activations are both single bits suffer from severe
accuracy degrad... | 0 | 0 | 0 | 1 | 0 | 0 |
Generalized connected sum formula for the Arnold invariants of generic plane curves | We define the generalized connected sum for generic closed plane curves,
generalizing the strange sum defined by Arnold, and completely describe how the
Arnold invariants $J^{\pm}$ and $\mathit{St}$ behave under the generalized
connected sums.
| 0 | 0 | 1 | 0 | 0 | 0 |
Smart patterned surfaces with programmable thermal emissivity and their design through combinatorial strategies | The emissivity of common materials remains constant with temperature
variations, and cannot drastically change. However, it is possible to design
its entire behaviour as a function of temperature, and to significantly modify
the thermal emissivity of a surface through the combination of different
materials and patter... | 0 | 1 | 0 | 0 | 0 | 0 |
STAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse Representation and Conditional Random Fields | Satellite radar altimetry is one of the most powerful techniques for
measuring sea surface height variations, with applications ranging from
operational oceanography to climate research. Over open oceans, altimeter
return waveforms generally correspond to the Brown model, and by inversion,
estimated shape parameters ... | 0 | 1 | 0 | 0 | 0 | 0 |
Magnetization jump in one dimensional $J-Q_{2}$ model with anisotropic exchange | We investigate the adiabatic magnetization process of the one-dimensional
$J-Q_{2}$ model with XXZ anisotropy $g$ in an external magnetic field $h$ by
using density matrix renormalization group (DMRG) method. According to the
characteristic of the magnetization curves, we draw a magnetization phase
diagram consisting... | 0 | 1 | 0 | 0 | 0 | 0 |
CoMID: Context-based Multi-Invariant Detection for Monitoring Cyber-Physical Software | Cyber-physical software continually interacts with its physical environment
for adaptation in order to deliver smart services. However, the interactions
can be subject to various errors when the software's assumption on its
environment no longer holds, thus leading to unexpected misbehavior or even
failure. To addres... | 1 | 0 | 0 | 0 | 0 | 0 |
Asymptotics of multivariate contingency tables with fixed marginals | We consider the asymptotic distribution of a cell in a 2 x ... x 2
contingency table as the fixed marginal totals tend to infinity. The asymptotic
order of the cell variance is derived and a useful diagnostic is given for
determining whether the cell has a Poisson limit or a Gaussian limit. There are
three forms of P... | 0 | 0 | 1 | 1 | 0 | 0 |
On the Faithfulness of 1-dimensional Topological Quantum Field Theories | This paper explores 1-dimensional topological quantum field theories. We
separately deal with strict and strong 1-dimensional topological quantum field
theories. The strict one is regarded as a symmetric monoidal functor between
the category of 1-cobordisms and the category of matrices, and the strong one
is a symmet... | 0 | 0 | 1 | 0 | 0 | 0 |
Distribution of the periodic points of the Farey map | We expand the cross section of the geodesic flow in the tangent bundle of the
modular surface given by Series to produce another section whose return map
under the geodesic flow is a double cover of the natural extension of the Farey
map. We use this cross section to extend the correspondence between the closed
geode... | 0 | 0 | 1 | 0 | 0 | 0 |
Marangoni effects on a thin liquid film coating a sphere with axial or radial thermal gradients | We study the time evolution of a thin liquid film coating the outer surface
of a sphere in the presence of gravity, surface tension and thermal gradients.
We derive the fourth-order nonlinear partial differential equation that models
the thin film dynamics, including Marangoni terms arising from the dependence
of sur... | 0 | 1 | 0 | 0 | 0 | 0 |
Fooling the classifier: Ligand antagonism and adversarial examples | Machine learning algorithms are sensitive to so-called adversarial
perturbations. This is reminiscent of cellular decision-making where antagonist
ligands may prevent correct signaling, like during the early immune response.
We draw a formal analogy between neural networks used in machine learning and
the general cla... | 0 | 0 | 0 | 1 | 1 | 0 |
A Simplified Approach to Analyze Complementary Sensitivity Trade-offs in Continuous-Time and Discrete-Time Systems | A simplified approach is proposed to investigate the continuous-time and
discrete-time complementary sensitivity Bode integrals (CSBIs) in this note.
For continuous-time feedback systems with unbounded frequency domain, the CSBI
weighted by $1/\omega^2$ is considered, where this simplified method reveals a
more expli... | 1 | 0 | 0 | 0 | 0 | 0 |
Comparing Graph Clusterings: Set partition measures vs. Graph-aware measures | In this paper, we propose a family of graph partition similarity measures
that take the topology of the graph into account. These graph-aware measures
are alternatives to using set partition similarity measures that are not
specifically designed for graph partitions. The two types of measures,
graph-aware and set par... | 0 | 0 | 0 | 1 | 0 | 0 |
Competitive Resource Allocation in HetNets: the Impact of Small-cell Spectrum Constraints and Investment Costs | Heterogeneous wireless networks with small-cell deployments in licensed and
unlicensed spectrum bands are a promising approach for expanding wireless
connectivity and service. As a result, wireless service providers (SPs) are
adding small-cells to augment their existing macro-cell deployments. This added
flexibility ... | 1 | 0 | 0 | 0 | 0 | 0 |
Gradient Reversal Against Discrimination | No methods currently exist for making arbitrary neural networks fair. In this
work we introduce GRAD, a new and simplified method to producing fair neural
networks that can be used for auto-encoding fair representations or directly
with predictive networks. It is easy to implement and add to existing
architectures, h... | 0 | 0 | 0 | 1 | 0 | 0 |
Non-commutative crepant resolutions for some toric singularities I | We give a criterion for the existence of non-commutative crepant resolutions
(NCCR's) for certain toric singularities. In particular we recover Broomhead's
result that a 3-dimensional toric Gorenstein singularity has a NCCR. Our result
also yields the existence of a NCCR for a 4-dimensional toric Gorenstein
singulari... | 0 | 0 | 1 | 0 | 0 | 0 |
High temperature pairing in a strongly interacting two-dimensional Fermi gas | We observe many-body pairing in a two-dimensional gas of ultracold fermionic
atoms at temperatures far above the critical temperature for superfluidity. For
this, we use spatially resolved radio-frequency spectroscopy to measure pairing
energies spanning a wide range of temperatures and interaction strengths. In
the ... | 0 | 1 | 0 | 0 | 0 | 0 |
Untangling the hairball: fitness based asymptotic reduction of biological networks | Complex mathematical models of interaction networks are routinely used for
prediction in systems biology. However, it is difficult to reconcile network
complexities with a formal understanding of their behavior. Here, we propose a
simple procedure (called $\bar \varphi$) to reduce biological models to
functional subm... | 0 | 1 | 0 | 0 | 0 | 0 |
Exotica and the status of the strong cosmic censor conjecture in four dimensions | An immense class of physical counterexamples to the four dimensional strong
cosmic censor conjecture---in its usual broad formulation---is exhibited. More
precisely, out of any closed and simply connected 4-manifold an open Ricci-flat
Lorentzian 4-manifold is constructed which is not globally hyperbolic and no
pertur... | 0 | 0 | 1 | 0 | 0 | 0 |
Centralities in Simplicial Complexes | Complex networks can be used to represent complex systems which originate in
the real world. Here we study a transformation of these complex networks into
simplicial complexes, where cliques represent the simplices of the complex. We
extend the concept of node centrality to that of simplicial centrality and
study sev... | 1 | 1 | 0 | 0 | 0 | 0 |
The Samuel realcompactification | For a uniform space (X, $\mu$), we introduce a realcompactification of X by
means of the family $U_{\mu}(X)$ of all the real-valued uniformly continuous
functions, in the same way that the known Samuel compactification is given by
$U^{*}_{\mu}(X)$ the set of all the bounded functions in $U_{\mu}(X)$. We will
call it ... | 0 | 0 | 1 | 0 | 0 | 0 |
Segmented Terahertz Electron Accelerator and Manipulator (STEAM) | Acceleration and manipulation of ultrashort electron bunches are the basis
behind electron and X-ray devices used for ultrafast, atomic-scale imaging and
spectroscopy. Using laser-generated THz drivers enables intrinsic
synchronization as well as dramatic gains in field strengths, field gradients
and component compac... | 0 | 1 | 0 | 0 | 0 | 0 |
The $2$-nd Hessian type equation on almost Hermitian manifolds | In this paper, we derive the second order estimate to the $2$-nd Hessian type
equation on a compact almost Hermitian manifold.
| 0 | 0 | 1 | 0 | 0 | 0 |
Learning graphs from data: A signal representation perspective | The construction of a meaningful graph topology plays a crucial role in the
effective representation, processing, analysis and visualization of structured
data. When a natural choice of the graph is not readily available from the data
sets, it is thus desirable to infer or learn a graph topology from the data. In
thi... | 1 | 0 | 0 | 1 | 0 | 0 |
Universal edge transport in interacting Hall systems | We study the edge transport properties of $2d$ interacting Hall systems,
displaying single-mode chiral edge currents. For this class of many-body
lattice models, including for instance the interacting Haldane model, we prove
the quantization of the edge charge conductance and the bulk-edge
correspondence. Instead, th... | 0 | 1 | 0 | 0 | 0 | 0 |
Brownian dynamics of elongated particles in a quasi-2D isotropic liquid | We demonstrate experimentally that the long-range hydrodynamic interactions
in an incompressible quasi 2D isotropic fluid result in an anisotropic viscous
drag acting on elongated particles. The anisotropy of the drag is increasing
with increasing ratio of the particle length to the hydrodynamic scale given by
the Sa... | 0 | 1 | 0 | 0 | 0 | 0 |
Photonic Band Structure of Two-dimensional Atomic Lattices | Two-dimensional atomic arrays exhibit a number of intriguing quantum optical
phenomena, including subradiance, nearly perfect reflection of radiation and
long-lived topological edge states. Studies of emission and scattering of
photons in such lattices require complete treatment of the radiation pattern
from individu... | 0 | 1 | 0 | 0 | 0 | 0 |
Multifractal analysis of the time series of daily means of wind speed in complex regions | In this paper, we applied the multifractal detrended fluctuation analysis to
the daily means of wind speed measured by 119 weather stations distributed over
the territory of Switzerland. The analysis was focused on the inner time
fluctuations of wind speed, which could be more linked with the local
conditions of the ... | 0 | 0 | 0 | 1 | 0 | 0 |
Deep Episodic Value Iteration for Model-based Meta-Reinforcement Learning | We present a new deep meta reinforcement learner, which we call Deep Episodic
Value Iteration (DEVI). DEVI uses a deep neural network to learn a similarity
metric for a non-parametric model-based reinforcement learning algorithm. Our
model is trained end-to-end via back-propagation. Despite being trained using
the mo... | 1 | 0 | 0 | 1 | 0 | 0 |
Disproval of the validated planets K2-78b, K2-82b, and K2-92b | Transiting super-Earths orbiting bright stars in short orbital periods are
interesting targets for the study of planetary atmospheres. While selecting
super-Earths suitable for further characterization from the ground among a list
of confirmed and validated exoplanets detected by K2, we found some suspicious
cases th... | 0 | 1 | 0 | 0 | 0 | 0 |
Long-lived mesoscopic entanglement between two damped infinite harmonic chains | We consider two chains, each made of $N$ independent oscillators, immersed in
a common thermal bath and study the dynamics of their mutual quantum
correlations in the thermodynamic, large-$N$ limit. We show that dissipation
and noise due to the presence of the external environment are able to generate
collective quan... | 0 | 1 | 0 | 0 | 0 | 0 |
Measured Multiseries and Integration | A paper by Bruno Salvy and the author introduced measured multiseries and
gave an algorithm to compute these for a large class of elementary functions,
modulo a zero-equivalence method for constants. This gave a theoretical
background for the implementation that Salvy was developing at that time. The
main result of t... | 1 | 0 | 0 | 0 | 0 | 0 |
Spectral Approach to Verifying Non-linear Arithmetic Circuits | This paper presents a fast and effective computer algebraic method for
analyzing and verifying non-linear integer arithmetic circuits using a novel
algebraic spectral model. It introduces a concept of algebraic spectrum, a
numerical form of polynomial expression; it uses the distribution of
coefficients of the monomi... | 1 | 0 | 0 | 0 | 0 | 0 |
Signal-based Bayesian Seismic Monitoring | Detecting weak seismic events from noisy sensors is a difficult perceptual
task. We formulate this task as Bayesian inference and propose a generative
model of seismic events and signals across a network of spatially distributed
stations. Our system, SIGVISA, is the first to directly model seismic
waveforms, allowing... | 1 | 1 | 0 | 0 | 0 | 0 |
Multi-Label Learning with Global and Local Label Correlation | It is well-known that exploiting label correlations is important to
multi-label learning. Existing approaches either assume that the label
correlations are global and shared by all instances; or that the label
correlations are local and shared only by a data subset. In fact, in the
real-world applications, both cases... | 1 | 0 | 0 | 0 | 0 | 0 |
Complexity of Verifying Nonblockingness in Modular Supervisory Control | Complexity analysis becomes a common task in supervisory control. However,
many results of interest are spread across different topics. The aim of this
paper is to bring several interesting results from complexity theory and to
illustrate their relevance to supervisory control by proving new nontrivial
results concer... | 1 | 0 | 0 | 0 | 0 | 0 |
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