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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Miraculous cancellations for quantum $SL_2$ | In earlier work, Helen Wong and the author discovered certain "miraculous
cancellations" for the quantum trace map connecting the Kauffman bracket skein
algebra of a surface to its quantum Teichmueller space, occurring when the
quantum parameter $q$ is a root of unity. The current paper is devoted to
giving a more re... | 0 | 0 | 1 | 0 | 0 | 0 |
Energy and time measurements with high-granular silicon devices | This note is a short summary of the workshop on "Energy and time measurements
with high-granular silicon devices" that took place on the 13/6/16 and the
14/6/16 at DESY/Hamburg in the frame of the first AIDA-2020 Annual Meeting.
This note tries to put forward trends that could be spotted and to emphasise in
particula... | 0 | 1 | 0 | 0 | 0 | 0 |
Action Tubelet Detector for Spatio-Temporal Action Localization | Current state-of-the-art approaches for spatio-temporal action localization
rely on detections at the frame level that are then linked or tracked across
time. In this paper, we leverage the temporal continuity of videos instead of
operating at the frame level. We propose the ACtion Tubelet detector
(ACT-detector) tha... | 1 | 0 | 0 | 0 | 0 | 0 |
Significance of Side Information in the Graph Matching Problem | Percolation based graph matching algorithms rely on the availability of seed
vertex pairs as side information to efficiently match users across networks.
Although such algorithms work well in practice, there are other types of side
information available which are potentially useful to an attacker. In this
paper, we c... | 1 | 1 | 0 | 0 | 0 | 0 |
Extended Gray-Wyner System with Complementary Causal Side Information | We establish the rate region of an extended Gray-Wyner system for 2-DMS
$(X,Y)$ with two additional decoders having complementary causal side
information. This extension is interesting because in addition to the
operationally significant extreme points of the Gray-Wyner rate region, which
include Wyner's common infor... | 1 | 0 | 1 | 0 | 0 | 0 |
Learning Powers of Poisson Binomial Distributions | We introduce the problem of simultaneously learning all powers of a Poisson
Binomial Distribution (PBD). A PBD of order $n$ is the distribution of a sum of
$n$ mutually independent Bernoulli random variables $X_i$, where
$\mathbb{E}[X_i] = p_i$. The $k$'th power of this distribution, for $k$ in a
range $[m]$, is the ... | 1 | 0 | 1 | 1 | 0 | 0 |
Geometry of simplices in Minkowski spaces | There are many problems and configurations in Euclidean geometry that were
never extended to the framework of (normed or) finite dimensional real Banach
spaces, although their original versions are inspiring for this type of
generalization, and the analogous definitions for normed spaces represent a
promising topic. ... | 0 | 0 | 1 | 0 | 0 | 0 |
DLR : Toward a deep learned rhythmic representation for music content analysis | In the use of deep neural networks, it is crucial to provide appropriate
input representations for the network to learn from. In this paper, we propose
an approach to learn a representation that focus on rhythmic representation
which is named as DLR (Deep Learning Rhythmic representation). The proposed
approach aims ... | 1 | 0 | 0 | 0 | 0 | 0 |
Phylogeny-based tumor subclone identification using a Bayesian feature allocation model | Tumor cells acquire different genetic alterations during the course of
evolution in cancer patients. As a result of competition and selection, only a
few subgroups of cells with distinct genotypes survive. These subgroups of
cells are often referred to as subclones. In recent years, many statistical and
computational... | 0 | 0 | 0 | 1 | 1 | 0 |
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning | Predicting properties of nodes in a graph is an important problem with
applications in a variety of domains. Graph-based Semi-Supervised Learning
(SSL) methods aim to address this problem by labeling a small subset of the
nodes as seeds and then utilizing the graph structure to predict label scores
for the rest of th... | 1 | 0 | 0 | 1 | 0 | 0 |
Long-range fluctuations and multifractality in connectivity density time series of a wind speed monitoring network | This paper studies the daily connectivity time series of a wind
speed-monitoring network using multifractal detrended fluctuation analysis. It
investigates the long-range fluctuation and multifractality in the residuals of
the connectivity time series. Our findings reveal that the daily connectivity
of the correlatio... | 0 | 0 | 0 | 1 | 0 | 0 |
The Dynamics of Norm Change in the Cultural Evolution of Language | What happens when a new social convention replaces an old one? While the
possible forces favoring norm change - such as institutions or committed
activists - have been identified since a long time, little is known about how a
population adopts a new convention, due to the difficulties of finding
representative data. ... | 0 | 0 | 0 | 0 | 1 | 0 |
Bayesian Joint Spike-and-Slab Graphical Lasso | In this article, we propose a new class of priors for Bayesian inference with
multiple Gaussian graphical models. We introduce fully Bayesian treatments of
two popular procedures, the group graphical lasso and the fused graphical
lasso, and extend them to a continuous spike-and-slab framework to allow
self-adaptive s... | 0 | 0 | 0 | 1 | 0 | 0 |
Variations on the theme of the uniform boundary condition | The uniform boundary condition in a normed chain complex asks for a uniform
linear bound on fillings of null-homologous cycles. For the $\ell^1$-norm on
the singular chain complex, Matsumoto and Morita established a characterisation
of the uniform boundary condition in terms of bounded cohomology. In
particular, spac... | 0 | 0 | 1 | 0 | 0 | 0 |
revisit: a Workflow Tool for Data Science | In recent years there has been widespread concern in the scientific community
over a reproducibility crisis. Among the major causes that have been identified
is statistical: In many scientific research the statistical analysis (including
data preparation) suffers from a lack of transparency and methodological
problem... | 1 | 0 | 0 | 1 | 0 | 0 |
Programmatically Interpretable Reinforcement Learning | We present a reinforcement learning framework, called Programmatically
Interpretable Reinforcement Learning (PIRL), that is designed to generate
interpretable and verifiable agent policies. Unlike the popular Deep
Reinforcement Learning (DRL) paradigm, which represents policies by neural
networks, PIRL represents pol... | 1 | 0 | 0 | 1 | 0 | 0 |
Kinetic Simulation of Collisional Magnetized Plasmas with Semi-Implicit Time Integration | Plasmas with varying collisionalities occur in many applications, such as
tokamak edge regions, where the flows are characterized by significant
variations in density and temperature. While a kinetic model is necessary for
weakly-collisional high-temperature plasmas, high collisionality in colder
regions render the e... | 1 | 1 | 0 | 0 | 0 | 0 |
VC-dimension of short Presburger formulas | We study VC-dimension of short formulas in Presburger Arithmetic, defined to
have a bounded number of variables, quantifiers and atoms. We give both lower
and upper bounds, which are tight up to a polynomial factor in the bit length
of the formula.
| 1 | 0 | 1 | 0 | 0 | 0 |
Real-time Traffic Accident Risk Prediction based on Frequent Pattern Tree | Traffic accident data are usually noisy, contain missing values, and
heterogeneous. How to select the most important variables to improve real-time
traffic accident risk prediction has become a concern of many recent studies.
This paper proposes a novel variable selection method based on the Frequent
Pattern tree (FP... | 1 | 0 | 0 | 1 | 0 | 0 |
Do Developers Update Their Library Dependencies? An Empirical Study on the Impact of Security Advisories on Library Migration | Third-party library reuse has become common practice in contemporary software
development, as it includes several benefits for developers. Library
dependencies are constantly evolving, with newly added features and patches
that fix bugs in older versions. To take full advantage of third-party reuse,
developers should... | 1 | 0 | 0 | 0 | 0 | 0 |
Is Smaller Better: A Proposal To Consider Bacteria For Biologically Inspired Modeling | Bacteria are easily characterizable model organisms with an impressively
complicated set of capabilities. Among their capabilities is quorum sensing, a
detailed cell-cell signaling system that may have a common origin with
eukaryotic cell-cell signaling. Not only are the two phenomena similar, but
quorum sensing, as ... | 1 | 0 | 0 | 0 | 0 | 0 |
A Bayesian Data Augmentation Approach for Learning Deep Models | Data augmentation is an essential part of the training process applied to
deep learning models. The motivation is that a robust training process for deep
learning models depends on large annotated datasets, which are expensive to be
acquired, stored and processed. Therefore a reasonable alternative is to be
able to a... | 1 | 0 | 0 | 0 | 0 | 0 |
Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach | Knowledge bases are employed in a variety of applications from natural
language processing to semantic web search; alas, in practice their usefulness
is hurt by their incompleteness. Embedding models attain state-of-the-art
accuracy in knowledge base completion, but their predictions are notoriously
hard to interpret... | 0 | 0 | 0 | 1 | 0 | 0 |
Parameterized complexity of machine scheduling: 15 open problems | Machine scheduling problems are a long-time key domain of algorithms and
complexity research. A novel approach to machine scheduling problems are
fixed-parameter algorithms. To stimulate this thriving research direction, we
propose 15 open questions in this area whose resolution we expect to lead to
the discovery of ... | 1 | 0 | 0 | 0 | 0 | 0 |
Potential Conditional Mutual Information: Estimators, Properties and Applications | The conditional mutual information I(X;Y|Z) measures the average information
that X and Y contain about each other given Z. This is an important primitive
in many learning problems including conditional independence testing, graphical
model inference, causal strength estimation and time-series problems. In
several ap... | 1 | 0 | 0 | 1 | 0 | 0 |
A new approach to divergences in quantum electrodynamics, concrete examples | An interesting attempt for solving infrared divergence problems via the
theory of generalized wave operators was made by P. Kulish and L. Faddeev. Our
method of using the ideas from the theory of generalized wave operators is
essentially different. We assume that the unperturbed operator $A_0$ is known
and that the s... | 0 | 0 | 1 | 0 | 0 | 0 |
Indefinite boundary value problems on graphs | We consider the spectral structure of indefinite second order boundary-value
problems on graphs. A variational formulation for such boundary-value problems
on graphs is given and we obtain both full and half-range completeness results.
This leads to a max-min principle and as a consequence we can formulate an
analogu... | 0 | 0 | 1 | 0 | 0 | 0 |
Integral curvatures of Finsler manifolds and applications | In this paper, we study the integral curvatures of Finsler manifolds. Some
Bishop-Gromov relative volume comparisons and several Myers type theorems are
obtained. We also establish a Gromov type precompactness theorem and a
Yamaguchi type finiteness theorem. Furthermore, the isoperimetric and Sobolev
constants of a c... | 0 | 0 | 1 | 0 | 0 | 0 |
L-functions and sharp resonances of infinite index congruence subgroups of $SL_2(\mathbb{Z})$ | For convex co-compact subgroups of SL2(Z) we consider the "congruence
subgroups" for p prime. We prove a factorization formula for the Selberg zeta
function in term of L-functions related to irreducible representations of the
Galois group SL2(Fp) of the covering, together with a priori bounds and
analytic continuatio... | 0 | 0 | 1 | 0 | 0 | 0 |
An Enhanced Lumped Element Electrical Model of a Double Barrier Memristive Device | The massive parallel approach of neuromorphic circuits leads to effective
methods for solving complex problems. It has turned out that resistive
switching devices with a continuous resistance range are potential candidates
for such applications. These devices are memristive systems - nonlinear
resistors with memory. ... | 1 | 1 | 0 | 0 | 0 | 0 |
Non-perturbative positive Lyapunov exponent of Schrödinger equations and its applications to skew-shift | We first study the discrete Schrödinger equations with analytic potentials
given by a class of transformations. It is shown that if the coupling number is
large, then its logarithm equals approximately to the Lyapunov exponents. When
the transformation becomes the skew-shift, we prove that the Lyapunov exponent
is we... | 0 | 0 | 1 | 0 | 0 | 0 |
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees | Greedy optimization methods such as Matching Pursuit (MP) and Frank-Wolfe
(FW) algorithms regained popularity in recent years due to their simplicity,
effectiveness and theoretical guarantees. MP and FW address optimization over
the linear span and the convex hull of a set of atoms, respectively. In this
paper, we co... | 1 | 0 | 0 | 1 | 0 | 0 |
Probing the accretion disc structure by the twin kHz QPOs and spins of neutron stars in LMXBs | We analyze the relation between the emission radii of twin kilohertz
quasi-periodic oscillations (kHz QPOs) and the co-rotation radii of the 12
neutron star low mass X-ray binaries (NS-LMXBs) which are simultaneously
detected with the twin kHz QPOs and NS spins. We find that the average
co-rotation radius of these so... | 0 | 1 | 0 | 0 | 0 | 0 |
Can scientists and their institutions become their own open access publishers? | This article offers a personal perspective on the current state of academic
publishing, and posits that the scientific community is beset with journals
that contribute little valuable knowledge, overload the community's capacity
for high-quality peer review, and waste resources. Open access publishing can
offer solut... | 1 | 0 | 0 | 0 | 0 | 0 |
Character sums for elliptic curve densities | If $E$ is an elliptic curve over $\mathbb{Q}$, then it follows from work of
Serre and Hooley that, under the assumption of the Generalized Riemann
Hypothesis, the density of primes $p$ such that the group of
$\mathbb{F}_p$-rational points of the reduced curve $\tilde{E}(\mathbb{F}_p)$
is cyclic can be written as an i... | 0 | 0 | 1 | 0 | 0 | 0 |
A monolithic fluid-structure interaction formulation for solid and liquid membranes including free-surface contact | A unified fluid-structure interaction (FSI) formulation is presented for
solid, liquid and mixed membranes. Nonlinear finite elements (FE) and the
generalized-alpha scheme are used for the spatial and temporal discretization.
The membrane discretization is based on curvilinear surface elements that can
describe large... | 1 | 1 | 0 | 0 | 0 | 0 |
Different Non-extensive Models for heavy-ion collisions | The transverse momentum ($p_T$) spectra from heavy-ion collisions at
intermediate momenta are described by non-extensive statistical models.
Assuming a fixed relative variance of the temperature fluctuating event by
event or alternatively a fixed mean multiplicity in a negative binomial
distribution (NBD), two differ... | 0 | 1 | 0 | 0 | 0 | 0 |
Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees | Toxicity prediction of chemical compounds is a grand challenge. Lately, it
achieved significant progress in accuracy but using a huge set of features,
implementing a complex blackbox technique such as a deep neural network, and
exploiting enormous computational resources. In this paper, we strongly argue
for the mode... | 1 | 0 | 0 | 1 | 0 | 0 |
Minmax Hierarchies and Minimal Surfaces in Manifolds | We introduce a general scheme that permits to generate successive min-max
problems for producing critical points of higher and higher indices to
Palais-Smale Functionals in Banach manifolds equipped with Finsler structures.
We call the resulting tree of minmax problems a minmax hierarchy. Using the
viscosity approach... | 0 | 0 | 1 | 0 | 0 | 0 |
Nonseparable Multinomial Choice Models in Cross-Section and Panel Data | Multinomial choice models are fundamental for empirical modeling of economic
choices among discrete alternatives. We analyze identification of binary and
multinomial choice models when the choice utilities are nonseparable in
observed attributes and multidimensional unobserved heterogeneity with
cross-section and pan... | 0 | 0 | 0 | 1 | 0 | 0 |
Corona limits of tilings : Periodic case | We study the limit shape of successive coronas of a tiling, which models the
growth of crystals. We define basic terminologies and discuss the existence and
uniqueness of corona limits, and then prove that corona limits are completely
characterized by directional speeds. As an application, we give another proof
that ... | 0 | 0 | 1 | 0 | 0 | 0 |
The Spatial Range of Conformity | Properties of galaxies like their absolute magnitude and their stellar mass
content are correlated. These correlations are tighter for close pairs of
galaxies, which is called galactic conformity. In hierarchical structure
formation scenarios, galaxies form within dark matter halos. To explain the
amplitude and the s... | 0 | 1 | 0 | 0 | 0 | 0 |
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis | Stochastic Gradient Langevin Dynamics (SGLD) is a popular variant of
Stochastic Gradient Descent, where properly scaled isotropic Gaussian noise is
added to an unbiased estimate of the gradient at each iteration. This modest
change allows SGLD to escape local minima and suffices to guarantee asymptotic
convergence to... | 1 | 0 | 1 | 1 | 0 | 0 |
Multilevel preconditioner of Polynomial Chaos Method for quantifying uncertainties in a blood pump | More than 23 million people are suffered by Heart failure worldwide. Despite
the modern transplant operation is well established, the lack of heart
donations becomes a big restriction on transplantation frequency. With respect
to this matter, ventricular assist devices (VADs) can play an important role in
supporting ... | 0 | 1 | 0 | 0 | 0 | 0 |
Superradiant Mott Transition | The combination of strong correlation and emergent lattice can be achieved
when quantum gases are confined in a superradiant Fabry-Perot cavity. In
addition to the discoveries of exotic phases, such as density wave ordered Mott
insulator and superfluid, a surprising kink structure is found in the slope of
the cavity ... | 0 | 1 | 0 | 0 | 0 | 0 |
Communication via FRET in Nanonetworks of Mobile Proteins | A practical, biologically motivated case of protein complexes (immunoglobulin
G and FcRII receptors) moving on the surface of mastcells, that are common
parts of an immunological system, is investigated. Proteins are considered as
nanomachines creating a nanonetwork. Accurate molecular models of the proteins
and the ... | 0 | 0 | 0 | 0 | 1 | 0 |
Multivariate generalized Pareto distributions: parametrizations, representations, and properties | Multivariate generalized Pareto distributions arise as the limit
distributions of exceedances over multivariate thresholds of random vectors in
the domain of attraction of a max-stable distribution. These distributions can
be parametrized and represented in a number of different ways. Moreover,
generalized Pareto dis... | 0 | 0 | 1 | 1 | 0 | 0 |
Invertibility of spectral x-ray data with pileup--two dimension-two spectrum case | In the Alvarez-Macovski method, the line integrals of the x-ray basis set
coefficients are computed from measurements with multiple spectra. An important
question is whether the transformation from measurements to line integrals is
invertible. This paper presents a proof that for a system with two spectra and
a photo... | 0 | 1 | 0 | 0 | 0 | 0 |
Steinberg representations and harmonic cochains for split adjoint quasi-simple groups | Let $G$ be an adjoint quasi-simple group defined and split over a
non-archimedean local field $K$. We prove that the dual of the Steinberg
representation of $G$ is isomorphic to a certain space of harmonic cochains on
the Bruhat-Tits building of $G$. The Steinberg representation is considered
with coefficients in any... | 0 | 0 | 1 | 0 | 0 | 0 |
Lorentzian surfaces and the curvature of the Schmidt metric | The b-boundary is a mathematical tool used to attach a topological boundary
to incomplete Lorentzian manifolds using a Riemaniann metric called the Schmidt
metric on the frame bundle. In this paper, we give the general form of the
Schmidt metric in the case of Lorentzian surfaces. Furthermore, we write the
Ricci scal... | 0 | 0 | 1 | 0 | 0 | 0 |
Mixed Precision Solver Scalable to 16000 MPI Processes for Lattice Quantum Chromodynamics Simulations on the Oakforest-PACS System | Lattice Quantum Chromodynamics (Lattice QCD) is a quantum field theory on a
finite discretized space-time box so as to numerically compute the dynamics of
quarks and gluons to explore the nature of subatomic world. Solving the
equation of motion of quarks (quark solver) is the most compute-intensive part
of the latti... | 0 | 1 | 0 | 0 | 0 | 0 |
A spectral/hp element MHD solver | A new MHD solver, based on the Nektar++ spectral/hp element framework, is
presented in this paper. The velocity and electric potential quasi-static MHD
model is used. The Hartmann flow in plane channel and its stability, the
Hartmann flow in rectangular duct, and the stability of Hunt's flow are
explored as examples.... | 0 | 1 | 0 | 0 | 0 | 0 |
Journalists' information needs, seeking behavior, and its determinants on social media | We describe the results of a qualitative study on journalists' information
seeking behavior on social media. Based on interviews with eleven journalists
along with a study of a set of university level journalism modules, we
determined the categories of information need types that lead journalists to
social media. We ... | 1 | 0 | 0 | 0 | 0 | 0 |
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models | The problem of low rank matrix completion is considered in this paper. To
exploit the underlying low-rank structure of the data matrix, we propose a
hierarchical Gaussian prior model, where columns of the low-rank matrix are
assumed to follow a Gaussian distribution with zero mean and a common precision
matrix, and a... | 1 | 0 | 0 | 1 | 0 | 0 |
Emergence of superconductivity in the canonical heavy-electron metal YbRh2Si2 | We report magnetic and calorimetric measurements down to T = 1 mK on the
canonical heavy-electron metal YbRh2Si2. The data reveal the development of
nuclear antiferromagnetic order slightly above 2 mK. The latter weakens the
primary electronic antiferromagnetism, thereby paving the way for
heavy-electron superconduct... | 0 | 1 | 0 | 0 | 0 | 0 |
Obtaining a Proportional Allocation by Deleting Items | We consider the following control problem on fair allocation of indivisible
goods. Given a set $I$ of items and a set of agents, each having strict linear
preference over the items, we ask for a minimum subset of the items whose
deletion guarantees the existence of a proportional allocation in the remaining
instance;... | 1 | 0 | 0 | 0 | 0 | 0 |
DeepFace: Face Generation using Deep Learning | We use CNNs to build a system that both classifies images of faces based on a
variety of different facial attributes and generates new faces given a set of
desired facial characteristics. After introducing the problem and providing
context in the first section, we discuss recent work related to image
generation in Se... | 1 | 0 | 0 | 0 | 0 | 0 |
High quality mesh generation using cross and asterisk fields: Application on coastal domains | This paper presents a method to generate high quality triangular or
quadrilateral meshes that uses direction fields and a frontal point insertion
strategy. Two types of direction fields are considered: asterisk fields and
cross fields. With asterisk fields we generate high quality triangulations,
while with cross fie... | 1 | 0 | 0 | 0 | 0 | 0 |
ELFI: Engine for Likelihood-Free Inference | Engine for Likelihood-Free Inference (ELFI) is a Python software library for
performing likelihood-free inference (LFI). ELFI provides a convenient syntax
for arranging components in LFI, such as priors, simulators, summaries or
distances, to a network called ELFI graph. The components can be implemented in
a wide va... | 1 | 0 | 0 | 1 | 0 | 0 |
Boosting Adversarial Attacks with Momentum | Deep neural networks are vulnerable to adversarial examples, which poses
security concerns on these algorithms due to the potentially severe
consequences. Adversarial attacks serve as an important surrogate to evaluate
the robustness of deep learning models before they are deployed. However, most
of existing adversar... | 1 | 0 | 0 | 1 | 0 | 0 |
Information spreading during emergencies and anomalous events | The most critical time for information to spread is in the aftermath of a
serious emergency, crisis, or disaster. Individuals affected by such situations
can now turn to an array of communication channels, from mobile phone calls and
text messages to social media posts, when alerting social ties. These channels
drast... | 1 | 1 | 0 | 0 | 0 | 0 |
Large-Scale Plant Classification with Deep Neural Networks | This paper discusses the potential of applying deep learning techniques for
plant classification and its usage for citizen science in large-scale
biodiversity monitoring. We show that plant classification using near
state-of-the-art convolutional network architectures like ResNet50 achieves
significant improvements i... | 1 | 0 | 0 | 1 | 0 | 0 |
Deep Reinforcement Learning for General Video Game AI | The General Video Game AI (GVGAI) competition and its associated software
framework provides a way of benchmarking AI algorithms on a large number of
games written in a domain-specific description language. While the competition
has seen plenty of interest, it has so far focused on online planning,
providing a forwar... | 0 | 0 | 0 | 1 | 0 | 0 |
Purely infinite labeled graph $C^*$-algebras | In this paper, we consider pure infiniteness of generalized Cuntz-Krieger
algebras associated to labeled spaces $(E,\mathcal{L},\mathcal{E})$. It is
shown that a $C^*$-algebra $C^*(E,\mathcal{L},\mathcal{E})$ is purely infinite
in the sense that every nonzero hereditary subalgebra contains an infinite
projection (we ... | 0 | 0 | 1 | 0 | 0 | 0 |
From safe screening rules to working sets for faster Lasso-type solvers | Convex sparsity-promoting regularizations are ubiquitous in modern
statistical learning. By construction, they yield solutions with few non-zero
coefficients, which correspond to saturated constraints in the dual
optimization formulation. Working set (WS) strategies are generic optimization
techniques that consist in... | 1 | 0 | 1 | 1 | 0 | 0 |
Exoplanet Radius Gap Dependence on Host Star Type | Exoplanets smaller than Neptune are numerous, but the nature of the planet
populations in the 1-4 Earth radii range remains a mystery. The complete Kepler
sample of Q1-Q17 exoplanet candidates shows a radius gap at ~ 2 Earth radii, as
reported by us in January 2017 in LPSC conference abstract #1576 (Zeng et al.
2017)... | 0 | 1 | 0 | 0 | 0 | 0 |
Mapping the Invocation Structure of Online Political Interaction | The surge in political information, discourse, and interaction has been one
of the most important developments in social media over the past several years.
There is rich structure in the interaction among different viewpoints on the
ideological spectrum. However, we still have only a limited analytical
vocabulary for... | 1 | 0 | 0 | 0 | 0 | 0 |
Collective decision for open set recognition | In open set recognition (OSR), almost all existing methods are designed
specially for recognizing individual instances, even these instances are
collectively coming in batch. Recognizers in decision either reject or
categorize them to some known class using empirically-set threshold. Thus the
threshold plays a key ro... | 0 | 0 | 0 | 1 | 0 | 0 |
HARPS-N high spectral resolution observations of Cepheids I. The Baade-Wesselink projection factor of δ Cep revisited | The projection factor p is the key quantity used in the Baade-Wesselink (BW)
method for distance determination; it converts radial velocities into pulsation
velocities. Several methods are used to determine p, such as geometrical and
hydrodynamical models or the inverse BW approach when the distance is known. We
anal... | 0 | 1 | 0 | 0 | 0 | 0 |
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US | The United States spends more than $1B each year on initiatives such as the
American Community Survey (ACS), a labor-intensive door-to-door study that
measures statistics relating to race, gender, education, occupation,
unemployment, and other demographic factors. Although a comprehensive source of
data, the lag betw... | 1 | 0 | 0 | 0 | 0 | 0 |
Gaussian Process Neurons Learn Stochastic Activation Functions | We propose stochastic, non-parametric activation functions that are fully
learnable and individual to each neuron. Complexity and the risk of overfitting
are controlled by placing a Gaussian process prior over these functions. The
result is the Gaussian process neuron, a probabilistic unit that can be used as
the bas... | 1 | 0 | 0 | 1 | 0 | 0 |
The short-term price impact of trades is universal | We analyze a proprietary dataset of trades by a single asset manager,
comparing their price impact with that of the trades of the rest of the market.
In the context of a linear propagator model we find no significant difference
between the two, suggesting that both the magnitude and time dependence of
impact are univ... | 0 | 1 | 0 | 0 | 0 | 0 |
Questions on mod p representations of reductive p-adic groups | This is a list of questions raised by our joint work arXiv:1412.0737 and its
sequels.
| 0 | 0 | 1 | 0 | 0 | 0 |
Filamentary superconductivity in semiconducting policrystalline ZrSe2 compound with Zr vacancies | ZrSe2 is a band semiconductor studied long time ago. It has interesting
electronic properties, and because its layers structure can be intercalated
with different atoms to change some of the physical properties. In this
investigation we found that Zr deficiencies alter the semiconducting behavior
and the compound can... | 0 | 1 | 0 | 0 | 0 | 0 |
Stochastic Block Model Reveals the Map of Citation Patterns and Their Evolution in Time | In this study we map out the large-scale structure of citation networks of
science journals and follow their evolution in time by using stochastic block
models (SBMs). The SBM fitting procedures are principled methods that can be
used to find hierarchical grouping of journals into blocks that show similar
incoming an... | 1 | 1 | 0 | 0 | 0 | 0 |
Limits on the anomalous speed of gravitational waves from binary pulsars | A large class of modified theories of gravity used as models for dark energy
predict a propagation speed for gravitational waves which can differ from the
speed of light. This difference of propagations speeds for photons and
gravitons has an impact in the emission of gravitational waves by binary
systems. Thus, we r... | 0 | 1 | 0 | 0 | 0 | 0 |
Central limit theorems for entropy-regularized optimal transport on finite spaces and statistical applications | The notion of entropy-regularized optimal transport, also known as Sinkhorn
divergence, has recently gained popularity in machine learning and statistics,
as it makes feasible the use of smoothed optimal transportation distances for
data analysis. The Sinkhorn divergence allows the fast computation of an
entropically... | 0 | 0 | 1 | 1 | 0 | 0 |
Inference for Stochastically Contaminated Variable Length Markov Chains | In this paper, we present a methodology to estimate the parameters of
stochastically contaminated models under two contamination regimes. In both
regimes, we assume that the original process is a variable length Markov chain
that is contaminated by a random noise. In the first regime we consider that
the random noise... | 0 | 0 | 0 | 1 | 0 | 0 |
Variable-Length Resolvability for General Sources and Channels | We introduce the problem of variable-length source resolvability, where a
given target probability distribution is approximated by encoding a
variable-length uniform random number, and the asymptotically minimum average
length rate of the uniform random numbers, called the (variable-length)
resolvability, is investig... | 1 | 0 | 0 | 0 | 0 | 0 |
Diattenuation of Brain Tissue and its Impact on 3D Polarized Light Imaging | 3D-Polarized Light Imaging (3D-PLI) reconstructs nerve fibers in histological
brain sections by measuring their birefringence. This study investigates
another effect caused by the optical anisotropy of brain tissue -
diattenuation. Based on numerical and experimental studies and a complete
analytical description of t... | 0 | 1 | 0 | 0 | 0 | 0 |
Higgs Modes in the Pair Density Wave Superconducting State | The pair density wave (PDW) superconducting state has been proposed to
explain the layer- decoupling effect observed in the compound
La$_{2-x}$Ba$_x$CuO$_4$ at $x=1/8$ (Phys. Rev. Lett. 99, 127003). In this state
the superconducting order parameter is spatially modulated, in contrast with
the usual superconducting (S... | 0 | 1 | 0 | 0 | 0 | 0 |
A Serverless Tool for Platform Agnostic Computational Experiment Management | Neuroscience has been carried into the domain of big data and high
performance computing (HPC) on the backs of initiatives in data collection and
an increasingly compute-intensive tools. While managing HPC experiments
requires considerable technical acumen, platforms and standards have been
developed to ease this bur... | 1 | 0 | 0 | 0 | 0 | 0 |
Traveling-wave parametric amplifier based on three-wave mixing in a Josephson metamaterial | We have developed a recently proposed Josephson traveling-wave parametric
amplifier with three-wave mixing [A. B. Zorin, Phys. Rev. Applied 6, 034006,
2016]. The amplifier consists of a microwave transmission line formed by a
serial array of nonhysteretic one-junction SQUIDs. These SQUIDs are flux-biased
in a way tha... | 0 | 1 | 0 | 0 | 0 | 0 |
Measuring LDA Topic Stability from Clusters of Replicated Runs | Background: Unstructured and textual data is increasing rapidly and Latent
Dirichlet Allocation (LDA) topic modeling is a popular data analysis methods
for it. Past work suggests that instability of LDA topics may lead to
systematic errors. Aim: We propose a method that relies on replicated LDA runs,
clustering, and ... | 1 | 0 | 0 | 0 | 0 | 0 |
Continuum Foreground Polarization and Na~I Absorption in Type Ia SNe | We present a study of the continuum polarization over the 400--600 nm range
of 19 Type Ia SNe obtained with FORS at the VLT. We separate them in those that
show Na I D lines at the velocity of their hosts and those that do not.
Continuum polarization of the sodium sample near maximum light displays a broad
range of v... | 0 | 1 | 0 | 0 | 0 | 0 |
Toward Faultless Content-Based Playlists Generation for Instrumentals | This study deals with content-based musical playlists generation focused on
Songs and Instrumentals. Automatic playlist generation relies on collaborative
filtering and autotagging algorithms. Autotagging can solve the cold start
issue and popularity bias that are critical in music recommender systems.
However, autot... | 1 | 0 | 0 | 0 | 0 | 0 |
Direct observation of the band gap transition in atomically thin ReS$_2$ | ReS$_2$ is considered as a promising candidate for novel electronic and
sensor applications. The low crystal symmetry of the van der Waals compound
ReS$_2$ leads to a highly anisotropic optical, vibrational, and transport
behavior. However, the details of the electronic band structure of this
fascinating material are... | 0 | 1 | 0 | 0 | 0 | 0 |
Lattice embeddings between types of fuzzy sets. Closed-valued fuzzy sets | In this paper we deal with the problem of extending Zadeh's operators on
fuzzy sets (FSs) to interval-valued (IVFSs), set-valued (SVFSs) and type-2
(T2FSs) fuzzy sets. Namely, it is known that seeing FSs as SVFSs, or T2FSs,
whose membership degrees are singletons is not order-preserving. We then
describe a family of ... | 1 | 0 | 0 | 0 | 0 | 0 |
Coupling of Magneto-Thermal and Mechanical Superconducting Magnet Models by Means of Mesh-Based Interpolation | In this paper we present an algorithm for the coupling of magneto-thermal and
mechanical finite element models representing superconducting accelerator
magnets. The mechanical models are used during the design of the mechanical
structure as well as the optimization of the magnetic field quality under
nominal conditio... | 1 | 1 | 0 | 0 | 0 | 0 |
Converging expansions for Lipschitz self-similar perforations of a plane sector | In contrast with the well-known methods of matching asymptotics and
multiscale (or compound) asymptotics, the " functional analytic approach " of
Lanza de Cristoforis (Analysis 28, 2008) allows to prove convergence of
expansions around interior small holes of size $\epsilon$ for solutions of
elliptic boundary value p... | 0 | 0 | 1 | 0 | 0 | 0 |
A Viral Timeline Branching Process to study a Social Network | Bio-inspired paradigms are proving to be useful in analyzing propagation and
dissemination of information in networks. In this paper we explore the use of
multi-type branching processes to analyse viral properties of content in a
social network, with and without competition from other sources. We derive and
compute v... | 1 | 0 | 0 | 0 | 0 | 0 |
Algorithmic Bio-surveillance For Precise Spatio-temporal Prediction of Zoonotic Emergence | Viral zoonoses have emerged as the key drivers of recent pandemics. Human
infection by zoonotic viruses are either spillover events -- isolated
infections that fail to cause a widespread contagion -- or species jumps, where
successful adaptation to the new host leads to a pandemic. Despite expensive
bio-surveillance ... | 0 | 0 | 0 | 1 | 1 | 0 |
Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward | Operationalizing machine learning based security detections is extremely
challenging, especially in a continuously evolving cloud environment.
Conventional anomaly detection does not produce satisfactory results for
analysts that are investigating security incidents in the cloud. Model
evaluation alone presents its o... | 1 | 0 | 0 | 0 | 0 | 0 |
SOI RF Switch for Wireless Sensor Network | The objective of this research was to design a 0-5 GHz RF SOI switch, with
0.18um power Jazz SOI technology by using Cadence software, for health care
applications. This paper introduces the design of a RF switch implemented in
shunt-series topology. An insertion loss of 0.906 dB and an isolation of 30.95
dB were obt... | 1 | 0 | 0 | 0 | 0 | 0 |
The Pentagonal Inequality | Given a positive linear combination of five (respectively seven) cosines,
where the angles are positive and sum to pi, the aim of this article is to
express the sharp bound of the combination as a Positive Real Fraction in the
coefficients (hence cosine-free). The method uses algebraic and arithmetic
manipulations wi... | 0 | 0 | 1 | 0 | 0 | 0 |
The Landscape of Deep Learning Algorithms | This paper studies the landscape of empirical risk of deep neural networks by
theoretically analyzing its convergence behavior to the population risk as well
as its stationary points and properties. For an $l$-layer linear neural
network, we prove its empirical risk uniformly converges to its population risk
at the r... | 1 | 0 | 1 | 1 | 0 | 0 |
The effect of the environment on the structure, morphology and star-formation history of intermediate-redshift galaxies | With the aim of understanding the effect of the environment on the star
formation history and morphological transformation of galaxies, we present a
detailed analysis of the colour, morphology and internal structure of cluster
and field galaxies at $0.4 \le z \le 0.8$. We use {\em HST} data for over 500
galaxies from... | 0 | 1 | 0 | 0 | 0 | 0 |
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning | Recommender systems play a crucial role in mitigating the problem of
information overload by suggesting users' personalized items or services. The
vast majority of traditional recommender systems consider the recommendation
procedure as a static process and make recommendations following a fixed
strategy. In this pap... | 0 | 0 | 0 | 1 | 0 | 0 |
Accumulated Gradient Normalization | This work addresses the instability in asynchronous data parallel
optimization. It does so by introducing a novel distributed optimizer which is
able to efficiently optimize a centralized model under communication
constraints. The optimizer achieves this by pushing a normalized sequence of
first-order gradients to a ... | 1 | 0 | 0 | 1 | 0 | 0 |
An Optimal Algorithm for Changing from Latitudinal to Longitudinal Formation of Autonomous Aircraft Squadrons | This work presents an algorithm for changing from latitudinal to longitudinal
formation of autonomous aircraft squadrons. The maneuvers are defined
dynamically by using a predefined set of 3D basic maneuvers. This formation
changing is necessary when the squadron has to perform tasks which demand both
formations, suc... | 1 | 0 | 0 | 0 | 0 | 0 |
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