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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Quandle rings | In this paper, a theory of quandle rings is proposed for quandles analogous
to the classical theory of group rings for groups, and interconnections between
quandles and associated quandle rings are explored.
| 0 | 0 | 1 | 0 | 0 | 0 |
On the application of Laguerre's method to the polynomial eigenvalue problem | The polynomial eigenvalue problem arises in many applications and has
received a great deal of attention over the last decade. The use of
root-finding methods to solve the polynomial eigenvalue problem dates back to
the work of Kublanovskaya (1969, 1970) and has received a resurgence due to the
work of Bini and Nofer... | 0 | 0 | 1 | 0 | 0 | 0 |
Limiting Behaviour of the Teichmüller Harmonic Map Flow | In this paper we study the Teichmüller harmonic map flow as introduced by
Rupflin and Topping [15]. It evolves pairs of maps and metrics $(u,g)$ into
branched minimal immersions, or equivalently into weakly conformal harmonic
maps, where $u$ maps from a fixed closed surface $M$ with metric $g$ to a
general target man... | 0 | 0 | 1 | 0 | 0 | 0 |
Invariant measures for the actions of the modular group | In this note, we give a nature action of the modular group on the ends of the
infinite (p + 1)-cayley tree, for each prime p. We show that there is a unique
invariant probability measure for each p.
| 0 | 0 | 1 | 0 | 0 | 0 |
Cartesian Fibrations and Representability | In higher category theory, we use fibrations to model presheaves. In this
paper we introduce a new method to build such fibrations. Concretely, for
suitable reflective subcategories of simplicial spaces, we build fibrations
that model presheaves valued in that subcategory. Using this we can build
Cartesian fibrations... | 0 | 0 | 1 | 0 | 0 | 0 |
Signal coupling to embedded pitch adapters in silicon sensors | We have examined the effects of embedded pitch adapters on signal formation
in n-substrate silicon microstrip sensors with data from beam tests and
simulation. According to simulation, the presence of the pitch adapter metal
layer changes the electric field inside the sensor, resulting in slowed signal
formation on t... | 0 | 1 | 0 | 0 | 0 | 0 |
Winds and radiation in unison: a new semi-analytic feedback model for cloud dissolution | Star clusters interact with the interstellar medium (ISM) in various ways,
most importantly in the destruction of molecular star-forming clouds, resulting
in inefficient star formation on galactic scales. On cloud scales, ionizing
radiation creates \hii regions, while stellar winds and supernovae drive the
ISM into t... | 0 | 1 | 0 | 0 | 0 | 0 |
Analysis-of-marginal-Tail-Means (ATM): a robust method for discrete black-box optimization | We present a new method, called Analysis-of-marginal-Tail-Means (ATM), for
effective robust optimization of discrete black-box problems. ATM has important
applications to many real-world engineering problems (e.g., manufacturing
optimization, product design, molecular engineering), where the objective to
optimize is ... | 0 | 0 | 0 | 1 | 0 | 0 |
Modular System for Shelves and Coasts (MOSSCO v1.0) - a flexible and multi-component framework for coupled coastal ocean ecosystem modelling | Shelf and coastal sea processes extend from the atmosphere through the water
column and into the sea bed. These processes are driven by physical, chemical,
and biological interactions at local scales, and they are influenced by
transport and cross strong spatial gradients. The linkages between domains and
many differ... | 0 | 1 | 0 | 0 | 0 | 0 |
How big was Galileo's impact? Percussion in the Sixth Day of the "Two New Sciences" | The Giornata Sesta about the Force of Percussion is a relatively less known
Chapter from the Galileo's masterpiece "Discourse about Two New Sciences". It
was first published lately (1718), long after the first edition of the Two New
Sciences (1638) and Galileo's death (1642). The Giornata Sesta focuses on how
to quan... | 0 | 1 | 0 | 0 | 0 | 0 |
Radar, without tears | A brief introduction to radar: principles, Doppler effect, antennas,
waveforms, power budget - and future radars. [13 pages]
| 0 | 1 | 0 | 0 | 0 | 0 |
A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation | One of the challenges in computational acoustics is the identification of
models that can simulate and predict the physical behavior of a system
generating an acoustic signal. Whenever such models are used for commercial
applications an additional constraint is the time-to-market, making automation
of the sound desig... | 1 | 0 | 0 | 1 | 0 | 0 |
A Warped Product Splitting Theorem Through Weak KAM Theory | In this paper, we strengthen the splitting theorem proved in [14, 15] and
provide a different approach using ideas from the weak KAM theory.
| 0 | 0 | 1 | 0 | 0 | 0 |
Learning Instance Segmentation by Interaction | We present an approach for building an active agent that learns to segment
its visual observations into individual objects by interacting with its
environment in a completely self-supervised manner. The agent uses its current
segmentation model to infer pixels that constitute objects and refines the
segmentation mode... | 1 | 0 | 0 | 1 | 0 | 0 |
On convergence rate of stochastic proximal point algorithm without strong convexity, smoothness or bounded gradients | Significant parts of the recent learning literature on stochastic
optimization algorithms focused on the theoretical and practical behaviour of
stochastic first order schemes under different convexity properties. Due to its
simplicity, the traditional method of choice for most supervised machine
learning problems is ... | 1 | 0 | 0 | 1 | 0 | 0 |
Learning Texture Manifolds with the Periodic Spatial GAN | This paper introduces a novel approach to texture synthesis based on
generative adversarial networks (GAN) (Goodfellow et al., 2014). We extend the
structure of the input noise distribution by constructing tensors with
different types of dimensions. We call this technique Periodic Spatial GAN
(PSGAN). The PSGAN has s... | 1 | 0 | 0 | 1 | 0 | 0 |
Generating Representative Executions [Extended Abstract] | Analyzing the behaviour of a concurrent program is made difficult by the
number of possible executions. This problem can be alleviated by applying the
theory of Mazurkiewicz traces to focus only on the canonical representatives of
the equivalence classes of the possible executions of the program. This paper
presents ... | 1 | 0 | 0 | 0 | 0 | 0 |
Extended periodic links and HOMFLYPT polynomial | Extended strongly periodic links have been introduced by Przytycki and
Sokolov as a symmetric surgery presentation of three-manifolds on which the
finite cyclic group acts without fixed points. The purpose of this paper is to
prove that the symmetry of these links is reflected by the first coefficients
of the HOMFLYP... | 0 | 0 | 1 | 0 | 0 | 0 |
Exploring Cross-Domain Data Dependencies for Smart Homes to Improve Energy Efficiency | Over the past decade, the idea of smart homes has been conceived as a
potential solution to counter energy crises or to at least mitigate its
intensive destructive consequences in the residential building sector.
| 1 | 0 | 0 | 0 | 0 | 0 |
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters | Deep learning models can take weeks to train on a single GPU-equipped
machine, necessitating scaling out DL training to a GPU-cluster. However,
current distributed DL implementations can scale poorly due to substantial
parameter synchronization over the network, because the high throughput of GPUs
allows more data ba... | 1 | 0 | 0 | 1 | 0 | 0 |
A closed formula for illiquid corporate bonds and an application to the European market | We deduce a simple closed formula for illiquid corporate coupon bond prices
when liquid bonds with similar characteristics (e.g. maturity) are present in
the market for the same issuer. The key model parameter is the
time-to-liquidate a position, i.e. the time that an experienced bond trader
takes to liquidate a give... | 0 | 0 | 0 | 0 | 0 | 1 |
Toric Codes, Multiplicative Structure and Decoding | Long linear codes constructed from toric varieties over finite fields, their
multiplicative structure and decoding. The main theme is the inherent
multiplicative structure on toric codes. The multiplicative structure allows
for \emph{decoding}, resembling the decoding of Reed-Solomon codes and aligns
with decoding by... | 1 | 0 | 1 | 0 | 0 | 0 |
Outlier Detection by Consistent Data Selection Method | Often the challenge associated with tasks like fraud and spam detection[1] is
the lack of all likely patterns needed to train suitable supervised learning
models. In order to overcome this limitation, such tasks are attempted as
outlier or anomaly detection tasks. We also hypothesize that out- liers have
behavioral p... | 1 | 0 | 0 | 1 | 0 | 0 |
Basic quantizations of $D=4$ Euclidean, Lorentz, Kleinian and quaternionic $\mathfrak{o}^{\star}(4)$ symmetries | We construct firstly the complete list of five quantum deformations of $D=4$
complex homogeneous orthogonal Lie algebra $\mathfrak{o}(4;\mathbb{C})\cong
\mathfrak{o}(3;\mathbb{C})\oplus \mathfrak{o}(3;\mathbb{C})$, describing
quantum rotational symmetry of four-dimensional complex space-time, in
particular we provide... | 0 | 0 | 1 | 0 | 0 | 0 |
Supervising Unsupervised Learning with Evolutionary Algorithm in Deep Neural Network | A method to control results of gradient descent unsupervised learning in a
deep neural network by using evolutionary algorithm is proposed. To process
crossover of unsupervisedly trained models, the algorithm evaluates pointwise
fitness of individual nodes in neural network. Labeled training data is
randomly sampled ... | 0 | 0 | 0 | 1 | 0 | 0 |
Inductive Representation Learning in Large Attributed Graphs | Graphs (networks) are ubiquitous and allow us to model entities (nodes) and
the dependencies (edges) between them. Learning a useful feature representation
from graph data lies at the heart and success of many machine learning tasks
such as classification, anomaly detection, link prediction, among many others.
Many e... | 1 | 0 | 0 | 1 | 0 | 0 |
Evidence for Two Hot Jupiter Formation Paths | Disk migration and high-eccentricity migration are two well-studied theories
to explain the formation of hot Jupiters. The former predicts that these
planets can migrate up until the planet-star Roche separation ($a_{Roche}$) and
the latter predicts they will tidally circularize at a minimum distance of
2$a_{Roche}$.... | 0 | 1 | 0 | 0 | 0 | 0 |
High-resolution Spectroscopy and Spectropolarimetry of Selected Delta Scuti Pulsating Variables | The combination of photometry, spectroscopy and spectropolarimetry of the
chemically peculiar stars often aims to study the complex physical phenomena
such as stellar pulsation, chemical inhomogeneity, magnetic field and their
interplay with stellar atmosphere and circumstellar environment. The prime
objective of the... | 0 | 1 | 0 | 0 | 0 | 0 |
Majority and Minority Voted Redundancy for Safety-Critical Applications | A new majority and minority voted redundancy (MMR) scheme is proposed that
can provide the same degree of fault tolerance as N-modular redundancy (NMR)
but with fewer function units and a less sophisticated voting logic. Example
NMR and MMR circuits were implemented using a 32/28nm CMOS process and
compared. The resu... | 1 | 0 | 0 | 0 | 0 | 0 |
Tight Analysis for the 3-Majority Consensus Dynamics | We present a tight analysis for the well-studied randomized 3-majority
dynamics of stabilizing consensus, hence answering the main open question of
Becchetti et al. [SODA'16].
Consider a distributed system of n nodes, each initially holding an opinion
in {1, 2, ..., k}. The system should converge to a setting where a... | 1 | 0 | 0 | 0 | 0 | 0 |
Large-scale chromosome folding versus genomic DNA sequences: A discrete double Fourier transform technique | Using state-of-the-art techniques combining imaging methods and
high-throughput genomic mapping tools leaded to the significant progress in
detailing chromosome architecture of various organisms. However, a gap still
remains between the rapidly growing structural data on the chromosome folding
and the large-scale gen... | 0 | 1 | 0 | 0 | 0 | 0 |
Superlinear scaling in the urban system of England of Wales. A comparison with US cities | According to the theory of urban scaling, urban indicators scale with city
size in a predictable fashion. In particular, indicators of social and economic
productivity are expected to have a superlinear relation. This behavior was
verified for many urban systems, but recent findings suggest that this pattern
may not ... | 0 | 1 | 0 | 0 | 0 | 0 |
Extensile actomyosin? | Living cells move thanks to assemblies of actin filaments and myosin motors
that range from very organized striated muscle tissue to disordered
intracellular bundles. The mechanisms powering these disordered structures are
debated, and all models studied so far predict that they are contractile. We
reexamine this pre... | 0 | 1 | 0 | 0 | 0 | 0 |
Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities | There is an increasing interest in exploiting mobile sensing technologies and
machine learning techniques for mental health monitoring and intervention.
Researchers have effectively used contextual information, such as mobility,
communication and mobile phone usage patterns for quantifying individuals' mood
and wellb... | 1 | 0 | 0 | 1 | 0 | 0 |
Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning | Cardiac indices estimation is of great importance during identification and
diagnosis of cardiac disease in clinical routine. However, estimation of
multitype cardiac indices with consistently reliable and high accuracy is still
a great challenge due to the high variability of cardiac structures and
complexity of tem... | 1 | 0 | 0 | 0 | 0 | 0 |
Noncommutative hyperbolic metrics | We characterize certain noncommutative domains in terms of noncommutative
holomorphic equivalence via a pseudometric that we define in purely algebraic
terms. We prove some properties of this pseudometric and provide an application
to free probability.
| 0 | 0 | 1 | 0 | 0 | 0 |
Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing | We consider the problem of estimating a regression function in the common
situation where the number of features is small, where interpretability of the
model is a high priority, and where simple linear or additive models fail to
provide adequate performance. To address this problem, we present Maximum
Variance Total... | 0 | 0 | 0 | 1 | 0 | 0 |
Basin stability for chimera states | Chimera states, namely complex spatiotemporal patterns that consist of
coexisting domains of spatially coherent and incoherent dynamics, are
investigated in a network of coupled identical oscillators. These intriguing
spatiotemporal patterns were first reported in nonlocally coupled phase
oscillators, and it was show... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Usage of Databases of Educational Materials in Macedonian Education | Technologies have become important part of our lives. The steps for
introducing ICTs in education vary from country to country. The Republic of
Macedonia has invested with a lot in installment of hardware and software in
education and in teacher training. This research was aiming to determine the
situation of usage o... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching | We study the neural-linear bandit model for solving sequential
decision-making problems with high dimensional side information. Neural-linear
bandits leverage the representation power of deep neural networks and combine
it with efficient exploration mechanisms, designed for linear contextual
bandits, on top of the la... | 1 | 0 | 0 | 1 | 0 | 0 |
Breaking mean-motion resonances during Type I planet migration | We present two-dimensional hydrodynamical simulations of pairs of planets
migrating simultaneously in the Type I regime in a protoplanetary disc.
Convergent migration naturally leads to the trapping of these planets in
mean-motion resonances. Once in resonance the planets' eccentricity grows
rapidly, and disc-planet ... | 0 | 1 | 0 | 0 | 0 | 0 |
The Stretch to Stray on Time: Resonant Length of Random Walks in a Transient | First-passage times in random walks have a vast number of diverse
applications in physics, chemistry, biology, and finance. In general,
environmental conditions for a stochastic process are not constant on the time
scale of the average first-passage time, or control might be applied to reduce
noise. We investigate mo... | 0 | 0 | 0 | 0 | 1 | 1 |
Hierarchical Model for Long-term Video Prediction | Video prediction has been an active topic of research in the past few years.
Many algorithms focus on pixel-level predictions, which generates results that
blur and disintegrate within a few frames. In this project, we use a
hierarchical approach for long-term video prediction. We aim at estimating
high-level structu... | 1 | 0 | 0 | 0 | 0 | 0 |
Classical Music Clustering Based on Acoustic Features | In this paper we cluster 330 classical music pieces collected from MusicNet
database based on their musical note sequence. We use shingling and chord
trajectory matrices to create signature for each music piece and performed
spectral clustering to find the clusters. Based on different resolution, the
output clusters ... | 1 | 0 | 0 | 0 | 0 | 0 |
Many-Body-Localization : Strong Disorder perturbative approach for the Local Integrals of Motion | For random quantum spin models, the strong disorder perturbative expansion of
the Local Integrals of Motion (LIOMs) around the real-spin operators is
revisited. The emphasis is on the links with other properties of the
Many-Body-Localized phase, in particular the memory in the dynamics of the
local magnetizations and... | 0 | 1 | 0 | 0 | 0 | 0 |
Semi-supervised Learning for Discrete Choice Models | We introduce a semi-supervised discrete choice model to calibrate discrete
choice models when relatively few requests have both choice sets and stated
preferences but the majority only have the choice sets. Two classic
semi-supervised learning algorithms, the expectation maximization algorithm and
the cluster-and-lab... | 0 | 0 | 0 | 1 | 0 | 0 |
An Analytic Criterion for Turbulent Disruption of Planetary Resonances | Mean motion commensurabilities in multi-planet systems are an expected
outcome of protoplanetary disk-driven migration, and their relative dearth in
the observational data presents an important challenge to current models of
planet formation and dynamical evolution. One natural mechanism that can lead
to the dissolut... | 0 | 1 | 1 | 0 | 0 | 0 |
Electronic structure of transferred graphene/h-BN van der Waals heterostructures with nonzero stacking angles by nano-ARPES | In van der Waals heterostructures, the periodic potential from the Moiré
superlattice can be used as a control knob to modulate the electronic structure
of the constituent materials. Here we present a nanoscale angle-resolved
photoemission spectroscopy (Nano-ARPES) study of transferred graphene/h-BN
heterostructures ... | 0 | 1 | 0 | 0 | 0 | 0 |
Automatic sequences and generalised polynomials | We conjecture that bounded generalised polynomial functions cannot be
generated by finite automata, except for the trivial case when they are
ultimately periodic.
Using methods from ergodic theory, we are able to partially resolve this
conjecture, proving that any hypothetical counterexample is periodic away from
a v... | 1 | 0 | 1 | 0 | 0 | 0 |
Robust Regulation of Infinite-Dimensional Port-Hamiltonian Systems | We will give general sufficient conditions under which a controller achieves
robust regulation for a boundary control and observation system. Utilizing
these conditions we construct a minimal order robust controller for an
arbitrary order impedance passive linear port-Hamiltonian system. The
theoretical results are i... | 0 | 0 | 1 | 0 | 0 | 0 |
Existence of travelling waves and high activation energy limits for a onedimensional thermo-diffusive lean spray flame model | We provide a mathematical analysis of a thermo-diffusive combustion model of
lean spray flames, for which we prove the existence of travelling waves. In the
high activation energy singular limit we show the existence of two distinct
combustion regimes with a sharp transition -- the diffusion limited regime and
the va... | 0 | 0 | 1 | 0 | 0 | 0 |
The Motion of Small Bodies in Space-time | We consider the motion of small bodies in general relativity. The key result
captures a sense in which such bodies follow timelike geodesics (or, in the
case of charged bodies, Lorentz-force curves). This result clarifies the
relationship between approaches that model such bodies as distributions
supported on a curve... | 0 | 1 | 1 | 0 | 0 | 0 |
Extracting urban impervious surface from GF-1 imagery using one-class classifiers | Impervious surface area is a direct consequence of the urbanization, which
also plays an important role in urban planning and environmental management.
With the rapidly technical development of remote sensing, monitoring urban
impervious surface via high spatial resolution (HSR) images has attracted
unprecedented att... | 1 | 0 | 0 | 0 | 0 | 0 |
Positive and nodal single-layered solutions to supercritical elliptic problems above the higher critical exponents | We study the problem% \[ -\Delta v+\lambda v=| v| ^{p-2}v\text{ in }\Omega
,\text{\qquad}v=0\text{ on $\partial\Omega$},\text{ }% \] for
$\lambda\in\mathbb{R}$ and supercritical exponents $p,$ in domains of the form%
\[ \Omega:=\{(y,z)\in\mathbb{R}^{N-m-1}\times\mathbb{R}^{m+1}:(y,| z|
)\in\Theta\}, \] where $m\geq1,... | 0 | 0 | 1 | 0 | 0 | 0 |
Robust, Deep and Inductive Anomaly Detection | PCA is a classical statistical technique whose simplicity and maturity has
seen it find widespread use as an anomaly detection technique. However, it is
limited in this regard by being sensitive to gross perturbations of the input,
and by seeking a linear subspace that captures normal behaviour. The first
issue has b... | 1 | 0 | 0 | 1 | 0 | 0 |
Understanding Organizational Approach towards End User Privacy | End user privacy is a critical concern for all organizations that collect,
process and store user data as a part of their business. Privacy concerned
users, regulatory bodies and privacy experts continuously demand organizations
provide users with privacy protection. Current research lacks an understanding
of organiz... | 1 | 0 | 0 | 0 | 0 | 0 |
Baryonic impact on the dark matter orbital properties of Milky Way-sized haloes | We study the orbital properties of dark matter haloes by combining a spectral
method and cosmological simulations of Milky Way-sized galaxies. We compare the
dynamics and orbits of individual dark matter particles from both hydrodynamic
and $N$-body simulations, and find that the fraction of box, tube and resonant
or... | 0 | 1 | 0 | 0 | 0 | 0 |
Extreme Value Analysis Without the Largest Values: What Can Be Done? | In this paper we are concerned with the analysis of heavy-tailed data when a
portion of the extreme values is unavailable. This research was motivated by an
analysis of the degree distributions in a large social network. The degree
distributions of such networks tend to have power law behavior in the tails. We
focus ... | 0 | 0 | 1 | 0 | 0 | 0 |
Controlling light in complex media beyond the acoustic diffraction-limit using the acousto-optic transmission matrix | Studying the internal structure of complex samples with light is an important
task, but a difficult challenge due to light scattering. While the complex
optical distortions induced by multiple scattering can be effectively undone
with the knowledge of the medium's scattering-matrix, this matrix is generally
unknown, ... | 0 | 1 | 0 | 0 | 0 | 0 |
Uniqueness and stability of Ricci flow through singularities | We verify a conjecture of Perelman, which states that there exists a
canonical Ricci flow through singularities starting from an arbitrary compact
Riemannian 3-manifold. Our main result is a uniqueness theorem for such flows,
which, together with an earlier existence theorem of Lott and the second named
author, impli... | 0 | 0 | 1 | 0 | 0 | 0 |
Reciprocal space engineering with hyperuniform gold metasurfaces | Hyperuniform geometries feature correlated disordered topologies which follow
from a tailored k-space design. Here we study gold plasmonic hyperuniform
metasurfaces and we report evidence of the effectiveness of k-space engineering
on both light scattering and light emission experiments. The metasurfaces
possess inte... | 0 | 1 | 0 | 0 | 0 | 0 |
STFT spectral loss for training a neural speech waveform model | This paper proposes a new loss using short-time Fourier transform (STFT)
spectra for the aim of training a high-performance neural speech waveform model
that predicts raw continuous speech waveform samples directly. Not only
amplitude spectra but also phase spectra obtained from generated speech
waveforms are used to... | 1 | 0 | 0 | 0 | 0 | 0 |
Spectral Properties of Continuum Fibonacci Schrödinger Operators | We study continuum Schrödinger operators on the real line whose potentials
are comprised of two compactly supported square-integrable functions
concatenated according to an element of the Fibonacci substitution subshift
over two letters. We show that the Hausdorff dimension of the spectrum tends to
one in the small-c... | 0 | 0 | 1 | 0 | 0 | 0 |
Species tree inference from genomic sequences using the log-det distance | The log-det distance between two aligned DNA sequences was introduced as a
tool for statistically consistent inference of a gene tree under simple
non-mixture models of sequence evolution. Here we prove that the log-det
distance, coupled with a distance-based tree construction method, also permits
consistent inferenc... | 0 | 0 | 0 | 0 | 1 | 0 |
Structure preserving schemes for nonlinear Fokker-Planck equations and applications | In this paper we focus on the construction of numerical schemes for nonlinear
Fokker-Planck equations that preserve the structural properties, like non
negativity of the solution, entropy dissipation and large time behavior. The
methods here developed are second order accurate, they do not require any
restriction on ... | 0 | 1 | 1 | 0 | 0 | 0 |
A Markov decision process approach to optimizing cancer therapy using multiple modalities | There are several different modalities, e.g., surgery, chemotherapy, and
radiotherapy, that are currently used to treat cancer. It is common practice to
use a combination of these modalities to maximize clinical outcomes, which are
often measured by a balance between maximizing tumor damage and minimizing
normal tiss... | 0 | 1 | 1 | 0 | 0 | 0 |
Complex Contagions with Timers | A great deal of effort has gone into trying to model social influence ---
including the spread of behavior, norms, and ideas --- on networks. Most models
of social influence tend to assume that individuals react to changes in the
states of their neighbors without any time delay, but this is often not true in
social c... | 1 | 1 | 0 | 0 | 0 | 0 |
Random Networks, Graphical Models, and Exchangeability | We study conditional independence relationships for random networks and their
interplay with exchangeability. We show that, for finitely exchangeable network
models, the empirical subgraph densities are maximum likelihood estimates of
their theoretical counterparts. We then characterize all possible Markov
structures... | 0 | 0 | 1 | 1 | 0 | 0 |
Long-Term Inertial Navigation Aided by Dynamics of Flow Field Features | A current-aided inertial navigation framework is proposed for small
autonomous underwater vehicles in long-duration operations (> 1 hour), where
neither frequent surfacing nor consistent bottom-tracking are available. We
instantiate this concept through mid-depth, underwater navigation. This
strategy mitigates dead-r... | 1 | 0 | 0 | 0 | 0 | 0 |
Catching Zika Fever: Application of Crowdsourcing and Machine Learning for Tracking Health Misinformation on Twitter | In February 2016, World Health Organization declared the Zika outbreak a
Public Health Emergency of International Concern. With developing evidence it
can cause birth defects, and the Summer Olympics coming up in the worst
affected country, Brazil, the virus caught fire on social media. In this work,
use Zika as a ca... | 1 | 0 | 0 | 0 | 0 | 0 |
Monte Carlo determination of the low-energy constants for a two-dimensional spin-1 Heisenberg model with spatial anisotropy | The low-energy constants, namely the spin stiffness $\rho_s$, the staggered
magnetization density ${\cal M}_s$ per area, and the spinwave velocity $c$ of
the two-dimensional (2D) spin-1 Heisenberg model on the square and rectangular
lattices are determined using the first principles Monte Carlo method. In
particular,... | 0 | 1 | 0 | 0 | 0 | 0 |
Explaining Parochialism: A Causal Account for Political Polarization in Changing Economic Environments | Political and social polarization are a significant cause of conflict and
poor governance in many societies, thus understanding their causes is of
considerable importance. Here we demonstrate that shifts in socialization
strategy similar to political polarization and/or identity politics could be a
constructive respo... | 0 | 0 | 0 | 0 | 1 | 1 |
A Secular Resonant Origin for the Loneliness of Hot Jupiters | Despite decades of inquiry, the origin of giant planets residing within a few
tenths of an astronomical unit from their host stars remains unclear.
Traditionally, these objects are thought to have formed further out before
subsequently migrating inwards. However, the necessity of migration has been
recently called in... | 0 | 1 | 0 | 0 | 0 | 0 |
An Incremental Slicing Method for Functional Programs | Several applications of slicing require a program to be sliced with respect
to more than one slicing criterion. Program specialization, parallelization and
cohesion measurement are examples of such applications. These applications can
benefit from an incremental static slicing method in which a significant extent
of ... | 1 | 0 | 0 | 0 | 0 | 0 |
Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters | Physicists at the Large Hadron Collider (LHC) rely on detailed simulations of
particle collisions to build expectations of what experimental data may look
like under different theory modeling assumptions. Petabytes of simulated data
are needed to develop analysis techniques, though they are expensive to
generate usin... | 0 | 0 | 0 | 1 | 0 | 0 |
A study of ancient Khmer ephemerides | We study ancient Khmer ephemerides described in 1910 by the French engineer
Faraut, in order to determine whether they rely on observations carried out in
Cambodia. These ephemerides were found to be of Indian origin and have been
adapted for another longitude, most likely in Burma. A method for estimating
the date a... | 0 | 1 | 1 | 0 | 0 | 0 |
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure | Model-based compression is an effective, facilitating, and expanded model of
neural network models with limited computing and low power. However,
conventional models of compression techniques utilize crafted features [2,3,12]
and explore specialized areas for exploration and design of large spaces in
terms of size, s... | 0 | 0 | 0 | 1 | 0 | 0 |
Infinite Sparse Structured Factor Analysis | Matrix factorisation methods decompose multivariate observations as linear
combinations of latent feature vectors. The Indian Buffet Process (IBP)
provides a way to model the number of latent features required for a good
approximation in terms of regularised reconstruction error. Previous work has
focussed on latent ... | 0 | 0 | 0 | 1 | 0 | 0 |
RuntimeSearch: Ctrl+F for a Running Program | Developers often try to find occurrences of a certain term in a software
system. Traditionally, a text search is limited to static source code files. In
this paper, we introduce a simple approach, RuntimeSearch, where the given term
is searched in the values of all string expressions in a running program. When
a matc... | 1 | 0 | 0 | 0 | 0 | 0 |
Accurate and Efficient Evaluation of Characteristic Modes | A new method to improve the accuracy and efficiency of characteristic mode
(CM) decomposition for perfectly conducting bodies is presented. The method
uses the expansion of the Green dyadic in spherical vector waves. This
expansion is utilized in the method of moments (MoM) solution of the electric
field integral equ... | 0 | 1 | 0 | 0 | 0 | 0 |
MUFASA: The assembly of the red sequence | We examine the growth and evolution of quenched galaxies in the Mufasa
cosmological hydrodynamic simulations that include an evolving halo mass-based
quenching prescription, with galaxy colours computed accounting for
line-of-sight extinction to individual star particles. Mufasa reproduces the
observed present-day re... | 0 | 1 | 0 | 0 | 0 | 0 |
Symmetric calorons and the rotation map | We study $SU(2)$ calorons, also known as periodic instantons, and consider
invariance under isometries of $S^1\times\mathbb{R}^3$ coupled with a
non-spatial isometry called the rotation map. In particular, we investigate the
fixed points under various cyclic symmetry groups. Our approach utilises a
construction akin ... | 0 | 0 | 1 | 0 | 0 | 0 |
Deep Learning for Accelerated Reliability Analysis of Infrastructure Networks | Natural disasters can have catastrophic impacts on the functionality of
infrastructure systems and cause severe physical and socio-economic losses.
Given budget constraints, it is crucial to optimize decisions regarding
mitigation, preparedness, response, and recovery practices for these systems.
This requires accura... | 1 | 0 | 0 | 1 | 0 | 0 |
IMLS-SLAM: scan-to-model matching based on 3D data | The Simultaneous Localization And Mapping (SLAM) problem has been well
studied in the robotics community, especially using mono, stereo cameras or
depth sensors. 3D depth sensors, such as Velodyne LiDAR, have proved in the
last 10 years to be very useful to perceive the environment in autonomous
driving, but few meth... | 1 | 0 | 0 | 0 | 0 | 0 |
Cooperative Online Learning: Keeping your Neighbors Updated | We study an asynchronous online learning setting with a network of agents. At
each time step, some of the agents are activated, requested to make a
prediction, and pay the corresponding loss. The loss function is then revealed
to these agents and also to their neighbors in the network. When activations
are stochastic... | 1 | 0 | 0 | 1 | 0 | 0 |
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis | Convolutional neural networks (CNNs) have massively impacted visual
recognition in 2D images, and are now ubiquitous in state-of-the-art
approaches. CNNs do not easily extend, however, to data that are not
represented by regular grids, such as 3D shape meshes or other graph-structured
data, to which traditional local... | 1 | 0 | 0 | 0 | 0 | 0 |
On a minimal counterexample to Brauer's $k(B)$-conjecture | We study Brauer's long-standing $k(B)$-conjecture on the number of characters
in $p$-blocks for finite quasi-simple groups and show that their blocks do not
occur as a minimal counterexample for $p\ge5$ nor in the case of abelian
defect. For $p=3$ we obtain that the principal 3-blocks do not provide minimal
counterex... | 0 | 0 | 1 | 0 | 0 | 0 |
The best fit for the observed galaxy Counts-in-Cell distribution function | The Sloan Digital Sky Survey (SDSS) is the first dense redshift survey
encompassing a volume large enough to find the best analytic probability
density function that fits the galaxy Counts-in-Cells distribution $f_V(N)$,
the frequency distribution of galaxy counts in a volume $V$. Different analytic
functions have be... | 0 | 1 | 0 | 0 | 0 | 0 |
Separator Reconnection at Earth's Dayside Magnetopause: MMS Observations Compared to Global Simulations | We compare a global high resolution resistive magnetohydrodynamics (MHD)
simulation of Earth's magnetosphere with observations from the Magnetospheric
Multiscale (MMS) constellation for a southward IMF magnetopause crossing during
October 16, 2015 that was previously identified as an electron diffusion region
(EDR) e... | 0 | 1 | 0 | 0 | 0 | 0 |
Semi-Supervised Overlapping Community Finding based on Label Propagation with Pairwise Constraints | Algorithms for detecting communities in complex networks are generally
unsupervised, relying solely on the structure of the network. However, these
methods can often fail to uncover meaningful groupings that reflect the
underlying communities in the data, particularly when those structures are
highly overlapping. One... | 1 | 0 | 0 | 0 | 0 | 0 |
Designing Coalition-Proof Reverse Auctions over Continuous Goods | This paper investigates reverse auctions that involve continuous values of
different types of goods, general nonconvex constraints, and second stage
costs. We seek to design the payment rules and conditions under which
coalitions of participants cannot influence the auction outcome in order to
obtain higher collectiv... | 1 | 0 | 0 | 0 | 0 | 0 |
Probabilistic Line Searches for Stochastic Optimization | In deterministic optimization, line searches are a standard tool ensuring
stability and efficiency. Where only stochastic gradients are available, no
direct equivalent has so far been formulated, because uncertain gradients do
not allow for a strict sequence of decisions collapsing the search space. We
construct a pr... | 1 | 0 | 0 | 1 | 0 | 0 |
Quantum Phase transition under pressure in a heavily hydrogen-doped iron-based superconductor LaFeAsO | Hydrogen (H)-doped LaFeAsO is a prototypical iron-based superconductor.
However, its phase diagram extends beyond the standard framework, where a
superconducting (SC) phase follows an antiferromagnetic (AF) phase upon carrier
doping; instead, the SC phase is sandwiched between two AF phases appearing in
lightly and h... | 0 | 1 | 0 | 0 | 0 | 0 |
Hyperboloidal similarity coordinates and a globally stable blowup profile for supercritical wave maps | We consider co-rotational wave maps from (1+3)-dimensional Minkowski space
into the three-sphere. This model exhibits an explicit blowup solution and we
prove the asymptotic nonlinear stability of this solution in the whole space
under small perturbations of the initial data. The key ingredient is the
introduction of... | 0 | 0 | 1 | 0 | 0 | 0 |
Supersymmetry in Closed Chains of Coupled Majorana Modes | We consider a closed chain of even number of Majorana zero modes with
nearest-neighbour couplings which are different site by site generically, thus
no any crystal symmetry. Instead, we demonstrate the possibility of an emergent
supersymmetry (SUSY), which is accompanied by gapless Fermionic excitations. In
particula... | 0 | 1 | 0 | 0 | 0 | 0 |
Renormalized Hennings Invariants and 2+1-TQFTs | We construct non-semisimple $2+1$-TQFTs yielding mapping class group
representations in Lyubashenko's spaces. In order to do this, we first
generalize Beliakova, Blanchet and Geer's logarithmic Hennings invariants based
on quantum $\mathfrak{sl}_2$ to the setting of finite-dimensional
non-degenerate unimodular ribbon... | 0 | 0 | 1 | 0 | 0 | 0 |
On Improving Deep Reinforcement Learning for POMDPs | Deep Reinforcement Learning (RL) recently emerged as one of the most
competitive approaches for learning in sequential decision making problems with
fully observable environments, e.g., computer Go. However, very little work has
been done in deep RL to handle partially observable environments. We propose a
new archit... | 1 | 0 | 0 | 1 | 0 | 0 |
When to Invest in Security? Empirical Evidence and a Game-Theoretic Approach for Time-Based Security | Games of timing aim to determine the optimal defense against a strategic
attacker who has the technical capability to breach a system in a stealthy
fashion. Key questions arising are when the attack takes place, and when a
defensive move should be initiated to reset the system resource to a known safe
state.
In our w... | 1 | 0 | 0 | 0 | 0 | 0 |
Converting Cascade-Correlation Neural Nets into Probabilistic Generative Models | Humans are not only adept in recognizing what class an input instance belongs
to (i.e., classification task), but perhaps more remarkably, they can imagine
(i.e., generate) plausible instances of a desired class with ease, when
prompted. Inspired by this, we propose a framework which allows transforming
Cascade-Corre... | 1 | 0 | 0 | 1 | 0 | 0 |
Semiclassical "Divide-and-Conquer" Method for Spectroscopic Calculations of High Dimensional Molecular Systems | A new semiclassical "divide-and-conquer" method is presented with the aim of
demonstrating that quantum dynamics simulations of high dimensional molecular
systems are doable. The method is first tested by calculating the quantum
vibrational power spectra of water, methane, and benzene - three molecules of
increasing ... | 0 | 1 | 0 | 0 | 0 | 0 |
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