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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Acceleration and Averaging in Stochastic Mirror Descent Dynamics | We formulate and study a general family of (continuous-time) stochastic
dynamics for accelerated first-order minimization of smooth convex functions.
Building on an averaging formulation of accelerated mirror descent, we propose
a stochastic variant in which the gradient is contaminated by noise, and study
the result... | 0 | 0 | 1 | 1 | 0 | 0 |
Electrothermal Feedback in Kinetic Inductance Detectors | In Kinetic Inductance Detectors (KIDs) and other similar applications of
superconducting microresonators, both the large and small-signal behaviour of
the device may be affected by electrothermal feedback. Microwave power applied
to read out the device is absorbed by and heats the superconductor
quasiparticles, chang... | 0 | 1 | 0 | 0 | 0 | 0 |
Comparison of Modified Kneser-Ney and Witten-Bell Smoothing Techniques in Statistical Language Model of Bahasa Indonesia | Smoothing is one technique to overcome data sparsity in statistical language
model. Although in its mathematical definition there is no explicit dependency
upon specific natural language, different natures of natural languages result
in different effects of smoothing techniques. This is true for Russian language
as s... | 1 | 0 | 0 | 0 | 0 | 0 |
Social evolution of structural discrimination | Structural discrimination appears to be a persistent phenomenon in social
systems. We here outline the hypothesis that it can result from the
evolutionary dynamics of the social system itself. We study the evolutionary
dynamics of agents with neutral badges in a simple social game and find that
the badges are readily... | 0 | 1 | 0 | 0 | 0 | 0 |
Decentralized Control of a Hexapod Robot Using a Wireless Time Synchronized Network | Robots and control systems rely upon precise timing of sensors and actuators
in order to operate intelligently. We present a functioning hexapod robot that
walks with a dual tripod gait; each tripod is actuated using its own local
controller running on a separate wireless node. We compare and report the
results of op... | 1 | 0 | 0 | 0 | 0 | 0 |
Domain wall motion by localized temperature gradients | Magnetic domain wall (DW) motion induced by a localized Gaussian temperature
profile is studied in a Permalloy nanostrip within the framework of the
stochastic Landau-Lifshitz-Bloch equation. The different contributions to
thermally induced DW motion, entropic torque and magnonic spin transfer torque,
are isolated an... | 0 | 1 | 0 | 0 | 0 | 0 |
Generation of High Dynamic Range Illumination from a Single Image for the Enhancement of Undesirably Illuminated Images | This paper presents an algorithm that enhances undesirably illuminated images
by generating and fusing multi-level illuminations from a single image.The
input image is first decomposed into illumination and reflectance components by
using an edge-preserving smoothing filter. Then the reflectance component is
scaled u... | 1 | 0 | 0 | 0 | 0 | 0 |
Replace or Retrieve Keywords In Documents at Scale | In this paper we introduce, the FlashText algorithm for replacing keywords or
finding keywords in a given text. FlashText can search or replace keywords in
one pass over a document. The time complexity of this algorithm is not
dependent on the number of terms being searched or replaced. For a document of
size N (char... | 1 | 0 | 0 | 0 | 0 | 0 |
A Multi Objective Reliable Location-Inventory Capacitated Disruption Facility Problem with Penalty Cost Solve with Efficient Meta Historic Algorithms | Logistics network is expected that opened facilities work continuously for a
long time horizon without any failure, but in real world problems, facilities
may face disruptions. This paper studies a reliable joint inventory location
problem to optimize the cost of facility locations, customers assignment, and
inventor... | 1 | 0 | 0 | 1 | 0 | 0 |
Formation of Galactic Prominence in Galactic Central Region | We carried out 2.5-dimensional resistive MHD simulations to study the
formation mechanism of molecular loops observed by Fukui et al. (2006) at
Galactic central region. Since it is hard to form molecular loops by uplifting
dense molecular gas, we study the formation mechanism of molecular gas in
rising magnetic arcad... | 0 | 1 | 0 | 0 | 0 | 0 |
Joint Probabilistic Linear Discriminant Analysis | Standard probabilistic linear discriminant analysis (PLDA) for speaker
recognition assumes that the sample's features (usually, i-vectors) are given
by a sum of three terms: a term that depends on the speaker identity, a term
that models the within-speaker variability and is assumed independent across
samples, and a ... | 1 | 0 | 0 | 1 | 0 | 0 |
Adversarial Attack on Graph Structured Data | Deep learning on graph structures has shown exciting results in various
applications. However, few attentions have been paid to the robustness of such
models, in contrast to numerous research work for image or text adversarial
attack and defense. In this paper, we focus on the adversarial attacks that
fool the model ... | 1 | 0 | 0 | 1 | 0 | 0 |
Uncertainty quantification for kinetic models in socio-economic and life sciences | Kinetic equations play a major rule in modeling large systems of interacting
particles. Recently the legacy of classical kinetic theory found novel
applications in socio-economic and life sciences, where processes characterized
by large groups of agents exhibit spontaneous emergence of social structures.
Well-known e... | 0 | 1 | 0 | 0 | 0 | 0 |
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? | The meteoric rise of deep learning models in computer vision research, having
achieved human-level accuracy in image recognition tasks is firm evidence of
the impact of representation learning of deep neural networks. In the chemistry
domain, recent advances have also led to the development of similar CNN models,
suc... | 1 | 0 | 0 | 1 | 0 | 0 |
Accelerated Computing in Magnetic Resonance Imaging -- Real-Time Imaging Using Non-Linear Inverse Reconstruction | Purpose: To develop generic optimization strategies for image reconstruction
using graphical processing units (GPUs) in magnetic resonance imaging (MRI) and
to exemplarily report about our experience with a highly accelerated
implementation of the non-linear inversion algorithm (NLINV) for dynamic MRI
with high frame... | 1 | 1 | 0 | 0 | 0 | 0 |
Exploiting Color Name Space for Salient Object Detection | In this paper, we will investigate the contribution of color names for
salient object detection. Each input image is first converted to the color name
space, which is consisted of 11 probabilistic channels. By exploring the
topological structure relationship between the figure and the ground, we obtain
a saliency map... | 1 | 0 | 0 | 0 | 0 | 0 |
Possibility to realize spin-orbit-induced correlated physics in iridium fluorides | Recent theoretical predictions of "unprecedented proximity" of the electronic
ground state of iridium fluorides to the SU(2) symmetric $j_{\mathrm{eff}}=1/2$
limit, relevant for superconductivity in iridates, motivated us to investigate
their crystal and electronic structure. To this aim, we performed
high-resolution... | 0 | 1 | 0 | 0 | 0 | 0 |
Numerical Investigation of Unsteady Aerodynamic Effects on Thick Flatback Airfoils | The unsteady characteristics of the flow over thick flatback airfoils have
been investigated by means of CFD calculations. Sandia airfoils which have 35%
maximum thickness with three different trailing edge thicknesses were selected.
The calculations provided good results compared with available experimental
data wit... | 0 | 1 | 0 | 0 | 0 | 0 |
Development of a passive Rehabilitation Robot for the wrist joint through the implementation of an Arduino UNO microcontroller | In this research was implemented the use of an Arduino UNO R3 microcontroller
to control the movements of a prototype robotic functional developed to perform
rehabilitation exercises in the wrist joint; This device can be used to assist
the physiatrist to rehabilitate the tendinitis, synovitis, rheumatoid arthritis
a... | 1 | 1 | 0 | 0 | 0 | 0 |
PHOEG Helps Obtaining Extremal Graphs | Extremal Graph Theory aims to determine bounds for graph invariants as well
as the graphs attaining those bounds.
We are currently developping PHOEG, an ecosystem of tools designed to help
researchers in Extremal Graph Theory.
It uses a big relational database of undirected graphs and works with the
convex hull of th... | 1 | 0 | 0 | 0 | 0 | 0 |
Crime Prediction by Data-Driven Green's Function method | We develop an algorithm that forecasts cascading events, by employing a
Green's function scheme on the basis of the self-exciting point process model.
This method is applied to open data of 10 types of crimes happened in Chicago.
It shows a good prediction accuracy superior to or comparable to the standard
methods wh... | 1 | 1 | 0 | 1 | 0 | 0 |
DZ Cha: a bona fide photoevaporating disc | DZ Cha is a weak-lined T Tauri star (WTTS) surrounded by a bright
protoplanetary disc with evidence of inner disc clearing. Its narrow $\Ha$ line
and infrared spectral energy distribution suggest that DZ Cha may be a
photoevaporating disc. We aim to analyse the DZ Cha star + disc system to
identify the mechanism driv... | 0 | 1 | 0 | 0 | 0 | 0 |
A Bayesian Filtering Algorithm for Gaussian Mixture Models | A Bayesian filtering algorithm is developed for a class of state-space
systems that can be modelled via Gaussian mixtures. In general, the exact
solution to this filtering problem involves an exponential growth in the number
of mixture terms and this is handled here by utilising a Gaussian mixture
reduction step afte... | 1 | 0 | 0 | 1 | 0 | 0 |
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems | We propose a generic algorithmic building block to accelerate training of
machine learning models on heterogeneous compute systems. Our scheme allows to
efficiently employ compute accelerators such as GPUs and FPGAs for the training
of large-scale machine learning models, when the training data exceeds their
memory c... | 1 | 0 | 0 | 1 | 0 | 0 |
Fast Autonomous Flight in Warehouses for Inventory Applications | The past years have shown a remarkable growth in use-cases for micro aerial
vehicles (MAVs). Conceivable indoor applications require highly robust
environment perception, fast reaction to changing situations, and stable
navigation, but reliable sources of absolute positioning like GNSS or compass
measurements are una... | 1 | 0 | 0 | 0 | 0 | 0 |
Cosmological solutions in generalized hybrid metric-Palatini gravity | We construct exact solutions representing a
Friedmann-Lemaître-Robsertson-Walker (FLRW) universe in a generalized hybrid
metric-Palatini theory. By writing the gravitational action in a scalar-tensor
representation, the new solutions are obtained by either making an ansatz on
the scale factor or on the effective pote... | 0 | 1 | 0 | 0 | 0 | 0 |
Ultimate Boundedness for Switched Systems with Multiple Equilibria Under Disturbances | In this paper, we investigate the robustness to external disturbances of
switched discrete and continuous systems with multiple equilibria. It is shown
that if each subsystem of the switched system is Input-to-State Stable (ISS),
then under switching signals that satisfy an average dwell-time bound, the
solutions are... | 1 | 0 | 0 | 0 | 0 | 0 |
The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics | The singular value matrix decomposition plays a ubiquitous role throughout
statistics and related fields. Myriad applications including clustering,
classification, and dimensionality reduction involve studying and exploiting
the geometric structure of singular values and singular vectors.
This paper provides a novel ... | 0 | 0 | 1 | 1 | 0 | 0 |
Variational Bayesian Complex Network Reconstruction | Complex network reconstruction is a hot topic in many fields. A popular
data-driven reconstruction framework is based on lasso. However, it is found
that, in the presence of noise, it may be inefficient for lasso to determine
the network topology. This paper builds a new framework to cope with this
problem. The key i... | 1 | 0 | 0 | 0 | 0 | 0 |
Renormalization of the two-dimensional stochastic nonlinear wave equations | We study the two-dimensional stochastic nonlinear wave equations (SNLW) with
an additive space-time white noise forcing. In particular, we introduce a
time-dependent renor- malization and prove that SNLW is pathwise locally
well-posed. As an application of the local well-posedness argument, we also
establish a weak u... | 0 | 0 | 1 | 0 | 0 | 0 |
Generation of High-Purity Millimeter-Wave Orbital Angular Momentum Modes Using Horn Antenna: Theory and Implementation | Twisted electromagnetic waves, of which the helical phase front is called
orbital angular momentum (OAM), have been recently explored for quantum
information, high speed communication and radar detections. In this context,
generation of high purity waves carrying OAM is of great significance and
challenge from low fr... | 0 | 1 | 0 | 0 | 0 | 0 |
CFT: A Cluster-based File Transfer Scheme for Highway | Effective file transfer between vehicles is fundamental to many emerging
vehicular infotainment applications in the highway Vehicular Ad Hoc Networks
(VANETs), such as content distribution and social networking. However, due to
fast mobility, the connection between vehicles tends to be short-lived and
lossy, which ma... | 1 | 0 | 0 | 0 | 0 | 0 |
Empirical priors and posterior concentration rates for a monotone density | In a Bayesian context, prior specification for inference on monotone
densities is conceptually straightforward, but proving posterior convergence
theorems is complicated by the fact that desirable prior concentration
properties often are not satisfied. In this paper, I first develop a new prior
designed specifically ... | 0 | 0 | 1 | 1 | 0 | 0 |
PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review | We consider the problem of automated assignment of papers to reviewers in
conference peer review, with a focus on fairness and statistical accuracy. Our
fairness objective is to maximize the review quality of the most disadvantaged
paper, in contrast to the commonly used objective of maximizing the total
quality over... | 0 | 0 | 0 | 1 | 0 | 0 |
CT Image Reconstruction in a Low Dimensional Manifold | Regularization methods are commonly used in X-ray CT image reconstruction.
Different regularization methods reflect the characterization of different
prior knowledge of images. In a recent work, a new regularization method called
a low-dimensional manifold model (LDMM) is investigated to characterize the
low-dimensio... | 1 | 1 | 0 | 0 | 0 | 0 |
Deep Unsupervised Clustering Using Mixture of Autoencoders | Unsupervised clustering is one of the most fundamental challenges in machine
learning. A popular hypothesis is that data are generated from a union of
low-dimensional nonlinear manifolds; thus an approach to clustering is
identifying and separating these manifolds. In this paper, we present a novel
approach to solve ... | 1 | 0 | 0 | 1 | 0 | 0 |
Enabling a Pepper Robot to provide Automated and Interactive Tours of a Robotics Laboratory | The Pepper robot has become a widely recognised face for the perceived
potential of social robots to enter our homes and businesses. However, to date,
commercial and research applications of the Pepper have been largely restricted
to roles in which the robot is able to remain stationary. This restriction is
the resul... | 1 | 0 | 0 | 0 | 0 | 0 |
The Ensemble Kalman Filter: A Signal Processing Perspective | The ensemble Kalman filter (EnKF) is a Monte Carlo based implementation of
the Kalman filter (KF) for extremely high-dimensional, possibly nonlinear and
non-Gaussian state estimation problems. Its ability to handle state dimensions
in the order of millions has made the EnKF a popular algorithm in different
geoscienti... | 1 | 0 | 0 | 1 | 0 | 0 |
Simultaneous Transmit and Receive Operation in Next Generation IEEE 802.11 WLANs: A MAC Protocol Design Approach | Full-duplex (FD) technology is likely to be adopted in various legacy
communications standards. The IEEE 802.11ax working group has been considering
a simultaneous transmit and receive (STR) mode for the next generation wireless
local area networks (WLANs). Enabling STR mode (FD communication mode) in
802.11 networks... | 1 | 0 | 0 | 0 | 0 | 0 |
Transfer Learning-Based Crack Detection by Autonomous UAVs | Unmanned Aerial Vehicles (UAVs) have recently shown great performance
collecting visual data through autonomous exploration and mapping in building
inspection. Yet, the number of studies is limited considering the post
processing of the data and its integration with autonomous UAVs. These will
enable huge steps onwar... | 1 | 0 | 0 | 0 | 0 | 0 |
A Separation Between Run-Length SLPs and LZ77 | In this paper we give an infinite family of strings for which the length of
the Lempel-Ziv'77 parse is a factor $\Omega(\log n/\log\log n)$ smaller than
the smallest run-length grammar.
| 1 | 0 | 0 | 0 | 0 | 0 |
A Model that Predicts the Material Recognition Performance of Thermal Tactile Sensing | Tactile sensing can enable a robot to infer properties of its surroundings,
such as the material of an object. Heat transfer based sensing can be used for
material recognition due to differences in the thermal properties of materials.
While data-driven methods have shown promise for this recognition problem, many
fac... | 1 | 0 | 0 | 0 | 0 | 0 |
The Value of Inferring the Internal State of Traffic Participants for Autonomous Freeway Driving | Safe interaction with human drivers is one of the primary challenges for
autonomous vehicles. In order to plan driving maneuvers effectively, the
vehicle's control system must infer and predict how humans will behave based on
their latent internal state (e.g., intentions and aggressiveness). This
research uses a simp... | 1 | 0 | 0 | 0 | 0 | 0 |
Long range scattering for nonlinear Schrödinger equations with critical homogeneous nonlinearity in three space dimensions | In this paper, we consider the final state problem for the nonlinear
Schrödinger equation with a homogeneous nonlinearity of the critical order
which is not necessarily a polynomial. In [10], the first and the second
authors consider one- and two-dimensional cases and gave a sufficient condition
on the nonlinearity f... | 0 | 0 | 1 | 0 | 0 | 0 |
SegMap: 3D Segment Mapping using Data-Driven Descriptors | When performing localization and mapping, working at the level of structure
can be advantageous in terms of robustness to environmental changes and
differences in illumination. This paper presents SegMap: a map representation
solution to the localization and mapping problem based on the extraction of
segments in 3D p... | 1 | 0 | 0 | 0 | 0 | 0 |
The Hesse curve of a Lefschtz pencil of plane curves | We prove that for a generic Lefschetz pencil of plane curves of degree $d\geq
3$ there exists a curve $H$ (called the Hesse curve of the pencil) of degree
$6(d-1)$ and genus $3(4d^2-13d+8)+1$, and such that: $(i)$ $H$ has $d^2$
singular points of multiplicity three at the base points of the pencil and
$3(d-1)^2$ ordi... | 0 | 0 | 1 | 0 | 0 | 0 |
Markov State Models from short non-Equilibrium Simulations - Analysis and Correction of Estimation Bias | Many state of the art methods for the thermodynamic and kinetic
characterization of large and complex biomolecular systems by simulation rely
on ensemble approaches, where data from large numbers of relatively short
trajectories are integrated. In this context, Markov state models (MSMs) are
extremely popular because... | 0 | 1 | 1 | 0 | 0 | 0 |
Principal series for general linear groups over finite commutative rings | We construct, for any finite commutative ring $R$, a family of
representations of the general linear group $\mathrm{GL}_n(R)$ whose
intertwining properties mirror those of the principal series for
$\mathrm{GL}_n$ over a finite field.
| 0 | 0 | 1 | 0 | 0 | 0 |
Constraining Radon Backgrounds in LZ | The LZ dark matter detector, like many other rare-event searches, will suffer
from backgrounds due to the radioactive decay of radon daughters. In order to
achieve its science goals, the concentration of radon within the xenon should
not exceed $2\mu$Bq/kg, or 20 mBq total within its 10 tonnes. The LZ
collaboration i... | 0 | 1 | 0 | 0 | 0 | 0 |
Single-particle dispersion in stably stratified turbulence | We present models for single-particle dispersion in vertical and horizontal
directions of stably stratified flows. The model in the vertical direction is
based on the observed Lagrangian spectrum of the vertical velocity, while the
model in the horizontal direction is a combination of a continuous-time
eddy-constrain... | 0 | 1 | 0 | 0 | 0 | 0 |
Pili mediated intercellular forces shape heterogeneous bacterial microcolonies prior to multicellular differentiation | Microcolonies are aggregates of a few dozen to a few thousand cells exhibited
by many bacteria. The formation of microcolonies is a crucial step towards the
formation of more mature bacterial communities known as biofilms, but also
marks a significant change in bacterial physiology. Within a microcolony,
bacteria for... | 0 | 1 | 0 | 0 | 0 | 0 |
Accurate Inference for Adaptive Linear Models | Estimators computed from adaptively collected data do not behave like their
non-adaptive brethren. Rather, the sequential dependence of the collection
policy can lead to severe distributional biases that persist even in the
infinite data limit. We develop a general method -- $\mathbf{W}$-decorrelation
-- for transfor... | 1 | 0 | 0 | 1 | 0 | 0 |
Distribution on Warp Maps for Alignment of Open and Closed Curves | Alignment of curve data is an integral part of their statistical analysis,
and can be achieved using model- or optimization-based approaches. The
parameter space is usually the set of monotone, continuous warp maps of a
domain. Infinite-dimensional nature of the parameter space encourages sampling
based approaches, w... | 0 | 0 | 1 | 1 | 0 | 0 |
Unbiased and Consistent Nested Sampling via Sequential Monte Carlo | We introduce a new class of sequential Monte Carlo methods called Nested
Sampling via Sequential Monte Carlo (NS-SMC), which reframes the Nested
Sampling method of Skilling (2006) in terms of sequential Monte Carlo
techniques. This new framework allows convergence results to be obtained in the
setting when Markov cha... | 0 | 0 | 0 | 1 | 0 | 0 |
Cuntz semigroups of compact-type Hopf C*-algebras | The classical Cuntz semigroup has an important role in the study of
C*-algebras, being one of the main invariants used to classify recalcitrant
C*-algebras up to isomorphism. We consider C*-algebras that have Hopf algebra
structure, and find additional structure in their Cuntz semigroups, thus
generalizing the equiva... | 0 | 0 | 1 | 0 | 0 | 0 |
City-Scale Intelligent Systems and Platforms | As of 2014, 54% of the earth's population resides in urban areas, and it is
steadily increasing, expecting to reach 66% by 2050. Urban areas range from
small cities with tens of thousands of people to megacities with greater than
10 million people. Roughly 12% of the global population today lives in 28
megacities, an... | 1 | 0 | 0 | 0 | 0 | 0 |
A simulated comparison between profile and areal surface parameters: $R_a$ as an estimate of $S_a$ | Direct comparison of areal and profile roughness measurement values is not
advisable due to fundamental differences in the measurement techniques. However
researchers may wish to compare between laboratories with differing equipment,
or against literature values. This paper investigates how well the profile
arithmeti... | 0 | 1 | 0 | 0 | 0 | 0 |
The VLA-COSMOS 3 GHz Large Project: Continuum data and source catalog release | We present the VLA-COSMOS 3 GHz Large Project based on 384 hours of
observations with the Karl G. Jansky Very Large Array (VLA) at 3 GHz (10 cm)
toward the two square degree Cosmic Evolution Survey (COSMOS) field. The final
mosaic reaches a median rms of 2.3 uJy/beam over the two square degrees at an
angular resoluti... | 0 | 1 | 0 | 0 | 0 | 0 |
DeepSource: Point Source Detection using Deep Learning | Point source detection at low signal-to-noise is challenging for astronomical
surveys, particularly in radio interferometry images where the noise is
correlated. Machine learning is a promising solution, allowing the development
of algorithms tailored to specific telescope arrays and science cases. We
present DeepSou... | 0 | 0 | 0 | 1 | 0 | 0 |
Co-design of aperiodic sampled-data min-jumping rules for linear impulsive, switched impulsive and sampled-data systems | Co-design conditions for the design of a jumping-rule and a sampled-data
control law for impulsive and impulsive switched systems subject to aperiodic
sampled-data measurements are provided. Semi-infinite discrete-time
Lyapunov-Metzler conditions are first obtained. As these conditions are
difficult to check and gene... | 1 | 0 | 1 | 0 | 0 | 0 |
Coalescence of Two Impurities in a Trapped One-dimensional Bose Gas | We study the ground state of a one-dimensional (1D) trapped Bose gas with two
mobile impurity particles. To investigate this set-up, we develop a variational
procedure in which the coordinates of the impurity particles are slow-like
variables. We validate our method using the exact results obtained for small
systems.... | 0 | 1 | 0 | 0 | 0 | 0 |
Rust Distilled: An Expressive Tower of Languages | Rust represents a major advancement in production programming languages
because of its success in bridging the gap between high-level application
programming and low-level systems programming. At the heart of its design lies
a novel approach to ownership that remains highly programmable.
In this talk, we will describ... | 1 | 0 | 0 | 0 | 0 | 0 |
Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends | Game Theory (GT) has been used with significant success to formulate, and
either design or optimize, the operation of many representative communications
and networking scenarios. The games in these scenarios involve, as usual,
diverse players with conflicting goals. This paper primarily surveys the
literature that ha... | 1 | 0 | 0 | 0 | 0 | 0 |
General description of spin motion in storage rings in presence of oscillating horizontal fields | The general theoretical description of the influence of oscillating
horizontal magnetic and quasimagnetic fields on the spin evolution in storage
rings is presented. Previous results are generalized to the case when both of
the horizontal components of the oscillating field are nonzero and the vector
of this field ci... | 0 | 1 | 0 | 0 | 0 | 0 |
Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning | Robots performing manipulation tasks must operate under uncertainty about
both their pose and the dynamics of the system. In order to remain robust to
modeling error and shifts in payload dynamics, agents must simultaneously
perform estimation and control tasks. However, the optimal estimation actions
are often not t... | 1 | 0 | 0 | 0 | 0 | 0 |
An exploratory factor analysis model for slum severity index in Mexico City | In Mexico, 25 per cent of the urban population now lives in informal
settlements with varying degree of depravity. Although some informal
neighbourhoods have contributed to the upward mobility of the inhabitants, the
majority still lack basic services. Mexico City and the conurbation around it,
form a mega city of 21... | 0 | 0 | 0 | 1 | 0 | 0 |
An Estimate of the First Eigenvalue of a Schrödinger Operator on Closed Surfaces | Based on the work of Schoen-Yau, we derive an estimate of the first
eigenvalue of a Schrödinger Operator (the Jaocbi operator of minimal surfaces
in flat 3-spaces) on surfaces.
| 0 | 0 | 1 | 0 | 0 | 0 |
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads | We present ease.ml, a declarative machine learning service platform we built
to support more than ten research groups outside the computer science
departments at ETH Zurich for their machine learning needs. With ease.ml, a
user defines the high-level schema of a machine learning application and
submits the task via a... | 1 | 0 | 0 | 1 | 0 | 0 |
Computation on Encrypted Data using Data Flow Authentication | Encrypting data before sending it to the cloud protects it against hackers
and malicious insiders, but requires the cloud to compute on encrypted data.
Trusted (hardware) modules, e.g., secure enclaves like Intel's SGX, can very
efficiently run entire programs in encrypted memory. However, it already has
been demonst... | 1 | 0 | 0 | 0 | 0 | 0 |
Analytic and Numerical Analysis of Singular Cauchy integrals with exponential-type weights | Let $I=(c,d)$, $c < 0 < d$, $Q\in C^1: I\rightarrow[0,\infty)$ be a function
with given regularity behavior on $I$. Write $w:=\exp(-Q)$ on $I$ and assume
that $\int_I x^nw^2(x)dx<\infty$ for all $n=0,1,2,\ldots$. For $x\in I$, we
consider the problem of the analytic and numerical approximation of the Cauchy
principal... | 0 | 0 | 1 | 0 | 0 | 0 |
Observation of a new field-induced phase transition and its concomitant quantum critical fluctuations in CeCo(In$_{1-x}$Zn$_x$)$_5$ | We demonstrate a close connection between observed field-induced
antiferromagnetic (AFM) order and quantum critical fluctuation (QCF) in the
Zn7%-doped heavy-fermion superconductor CeCoIn5. Magnetization, specific heat,
and electrical resistivity at low temperatures all show the presence of new
field-induced AFM orde... | 0 | 1 | 0 | 0 | 0 | 0 |
Two-dimensional magneto-optical trap as a source for cold strontium atoms | We report on the realization of a transversely loaded two-dimensional
magneto-optical trap serving as a source for cold strontium atoms. We analyze
the dependence of the source's properties on various parameters, in particular
the intensity of a pushing beam accelerating the atoms out of the source. An
atomic flux ex... | 0 | 1 | 0 | 0 | 0 | 0 |
Loading a linear Paul trap to saturation from a magneto-optical trap | We present experimental measurements of the steady-state ion number in a
linear Paul trap (LPT) as a function of the ion-loading rate. These
measurements, taken with (a) constant Paul trap stability parameter $q$, (b)
constant radio-frequency (rf) amplitude, or (c) constant rf frequency, show
nonlinear behavior. At t... | 0 | 1 | 0 | 0 | 0 | 0 |
Early warning signals in plant disease outbreaks | Summary
1. Infectious disease outbreaks in plants threaten ecosystems, agricultural
crops and food trade. Currently, several fungal diseases are affecting forests
worldwide, posing a major risk to tree species, habitats and consequently
ecosystem decay. Prediction and control of disease spread are difficult, mainly
d... | 0 | 0 | 0 | 0 | 1 | 0 |
Predicting the Gender of Indonesian Names | We investigated a way to predict the gender of a name using character-level
Long-Short Term Memory (char-LSTM). We compared our method with some
conventional machine learning methods, namely Naive Bayes, logistic regression,
and XGBoost with n-grams as the features. We evaluated the models on a dataset
consisting of ... | 1 | 0 | 0 | 0 | 0 | 0 |
Exploring Students Blended Learning Through Social Media | Information technology (IT) has been used widely in many aspects of our daily
life. After discuss politics related aspects for some articles. In this article
author would like to discuss social media for students learning environment.
Social media as a leading application on the internet has changed many aspects
of l... | 1 | 0 | 0 | 0 | 0 | 0 |
Thompson Sampling for a Fatigue-aware Online Recommendation System | In this paper we consider an online recommendation setting, where a platform
recommends a sequence of items to its users at every time period. The users
respond by selecting one of the items recommended or abandon the platform due
to fatigue from seeing less useful items. Assuming a parametric stochastic
model of use... | 1 | 0 | 0 | 1 | 0 | 0 |
Finding Large Primes | In this paper we present and expand upon procedures for obtaining large d
digit prime number to an arbitrary probability. We use a layered approach. The
first step is to limit the pool of random number to exclude numbers that are
obviously composite. We first remove any number ending in 1,3,7 or 9. We then
exclude nu... | 0 | 0 | 1 | 0 | 0 | 0 |
D-optimal Designs for Multinomial Logistic Models | We consider optimal designs for general multinomial logistic models, which
cover baseline-category, cumulative, adjacent-categories, and
continuation-ratio logit models, with proportional odds, non-proportional odds,
or partial proportional odds assumption. We derive the corresponding Fisher
information matrices in t... | 0 | 0 | 1 | 1 | 0 | 0 |
Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces | Learning to optimize - the idea that we can learn from data algorithms that
optimize a numerical criterion - has recently been at the heart of a growing
number of research efforts. One of the most challenging issues within this
approach is to learn a policy that is able to optimize over classes of
functions that are ... | 0 | 0 | 0 | 1 | 0 | 0 |
Reordering of the Logistic Map with a Nonlinear Growth Rate | In the well known logistic map, the parameter of interest is weighted by a
coefficient that decreases linearly when this parameter increases. Since such a
linear decrease forms a specific case, we consider the more general case where
this coefficient decreases nonlinearly as in a hyperbolic tangent relaxation of
a sy... | 0 | 1 | 1 | 0 | 0 | 0 |
Tensor network factorizations: Relationships between brain structural connectomes and traits | Advanced brain imaging techniques make it possible to measure individuals'
structural connectomes in large cohort studies non-invasively. The structural
connectome is initially shaped by genetics and subsequently refined by the
environment. It is extremely interesting to study relationships between
structural connect... | 0 | 0 | 0 | 1 | 0 | 0 |
Model-free prediction of noisy chaotic time series by deep learning | We present a deep neural network for a model-free prediction of a chaotic
dynamical system from noisy observations. The proposed deep learning model aims
to predict the conditional probability distribution of a state variable. The
Long Short-Term Memory network (LSTM) is employed to model the nonlinear
dynamics and a... | 1 | 1 | 0 | 0 | 0 | 0 |
Robust XVA | We introduce an arbitrage-free framework for robust valuation adjustments. An
investor trades a credit default swap portfolio with a risky counterparty, and
hedges credit risk by taking a position in the counterparty bond. The investor
does not know the expected rate of return of the counterparty bond, but he is
conf... | 0 | 0 | 0 | 0 | 0 | 1 |
Rarefaction Waves for the Toda Equation via Nonlinear Steepest Descent | We apply the method of nonlinear steepest descent to compute the long-time
asymptotics of the Toda lattice with steplike initial data corresponding to a
rarefaction wave.
| 0 | 1 | 1 | 0 | 0 | 0 |
IRA codes derived from Gruenbaum graph | In this paper, we consider coding of short data frames (192 bits) by IRA
codes. A new interleaver for the IRA codes based on a Gruenbaum graph is
proposed. The difference of the proposed algorithm from known methods consists
in the following: permutation is performed by using a match smaller interleaver
which is deri... | 1 | 0 | 1 | 0 | 0 | 0 |
Three- and four-electron integrals involving Gaussian geminals: fundamental integrals, upper bounds and recurrence relations | We report the three main ingredients to calculate three- and four-electron
integrals over Gaussian basis functions involving Gaussian geminal operators:
fundamental integrals, upper bounds, and recurrence relations. In particular,
we consider the three- and four-electron integrals that may arise in
explicitly-correla... | 0 | 1 | 0 | 0 | 0 | 0 |
HARP: Hierarchical Representation Learning for Networks | We present HARP, a novel method for learning low dimensional embeddings of a
graph's nodes which preserves higher-order structural features. Our proposed
method achieves this by compressing the input graph prior to embedding it,
effectively avoiding troublesome embedding configurations (i.e. local minima)
which can p... | 1 | 0 | 0 | 0 | 0 | 0 |
Mixed penalization in convolutive nonnegative matrix factorization for blind speech dereverberation | When a signal is recorded in an enclosed room, it typically gets affected by
reverberation. This degradation represents a problem when dealing with audio
signals, particularly in the field of speech signal processing, such as
automatic speech recognition. Although there are some approaches to deal with
this issue tha... | 1 | 0 | 0 | 0 | 0 | 0 |
Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes | The current generation of radio and millimeter telescopes, particularly the
Atacama Large Millimeter Array (ALMA), offers enormous advances in observing
capabilities. While these advances represent an unprecedented opportunity to
advance scientific understanding, the increased complexity in the spatial and
spectral s... | 1 | 1 | 0 | 0 | 0 | 0 |
The Price of BitCoin: GARCH Evidence from High Frequency Data | This is the first paper that estimates the price determinants of BitCoin in a
Generalised Autoregressive Conditional Heteroscedasticity framework using high
frequency data. Derived from a theoretical model, we estimate BitCoin
transaction demand and speculative demand equations in a GARCH framework using
hourly data ... | 0 | 0 | 0 | 0 | 0 | 1 |
Application of a unified Kenmotsu-type formula for surfaces in Euclidean or Lorentzian three-space | Kenmotsu's formula describes surfaces in Euclidean 3-space by their mean
curvature functions and Gauss maps. In Lorentzian 3-space,
Akutagawa-Nishikawa's formula and Magid's formula are Kenmotsu-type formulas
for spacelike surfaces and for timelike surfaces, respectively. We apply them
to a few problems concerning ro... | 0 | 0 | 1 | 0 | 0 | 0 |
A Vector Matroid-Theoretic Approach in the Study of Structural Controllability Over F(z) | In this paper, the structural controllability of the systems over F(z) is
studied using a new mathematical method-matroids. Firstly, a vector matroid is
defined over F(z). Secondly, the full rank conditions of [sI-A|B] are derived
in terms of the concept related to matroid theory, such as rank, base and
union. Then t... | 1 | 0 | 0 | 0 | 0 | 0 |
From cold Fermi fluids to the hot QGP | Strongly coupled quantum fluids are found in different forms, including
ultracold Fermi gases or tiny droplets of extremely hot Quark-Gluon Plasma.
Although the systems differ in temperature by many orders of magnitude, they
exhibit a similar almost inviscid fluid dynamical behavior. In this work, we
summarize some o... | 0 | 1 | 0 | 0 | 0 | 0 |
Decomposition method related to saturated hyperball packings | In this paper we study the problem of hyperball (hypersphere) packings in
$3$-dimensional hyperbolic space. We introduce a new definition of the
non-compact saturated ball packings and describe to each saturated hyperball
packing, a new procedure to get a decomposition of 3-dimensional hyperbolic
space $\HYP$ into tr... | 0 | 0 | 1 | 0 | 0 | 0 |
Dynamic interdependence and competition in multilayer networks | From critical infrastructure, to physiology and the human brain, complex
systems rarely occur in isolation. Instead, the functioning of nodes in one
system often promotes or suppresses the functioning of nodes in another.
Despite advances in structural interdependence, modeling interdependence and
other interactions ... | 0 | 1 | 0 | 0 | 0 | 0 |
Applications of L systems to group theory | L systems generalise context-free grammars by incorporating parallel
rewriting, and generate languages such as EDT0L and ET0L that are strictly
contained in the class of indexed languages. In this paper we show that many of
the languages naturally appearing in group theory, and that were known to be
indexed or contex... | 1 | 0 | 1 | 0 | 0 | 0 |
'Senator, We Sell Ads': Analysis of the 2016 Russian Facebook Ads Campaign | One of the key aspects of the United States democracy is free and fair
elections that allow for a peaceful transfer of power from one President to the
next. The 2016 US presidential election stands out due to suspected foreign
influence before, during, and after the election. A significant portion of that
suspected i... | 1 | 0 | 0 | 0 | 0 | 0 |
On the k-Means/Median Cost Function | In this work, we study the $k$-means cost function. The (Euclidean) $k$-means
problem can be described as follows: given a dataset $X \subseteq \mathbb{R}^d$
and a positive integer $k$, find a set of $k$ centers $C \subseteq
\mathbb{R}^d$ such that $\Phi(C, X) \stackrel{def}{=} \sum_{x \in X} \min_{c
\in C} ||x - c||... | 1 | 0 | 0 | 0 | 0 | 0 |
Secure and Reconfigurable Network Design for Critical Information Dissemination in the Internet of Battlefield Things (IoBT) | The Internet of things (IoT) is revolutionizing the management and control of
automated systems leading to a paradigm shift in areas such as smart homes,
smart cities, health care, transportation, etc. The IoT technology is also
envisioned to play an important role in improving the effectiveness of military
operation... | 1 | 0 | 0 | 0 | 0 | 0 |
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