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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Continuous Authentication of Smartphones Based on Application Usage | An empirical investigation of active/continuous authentication for
smartphones is presented in this paper by exploiting users' unique application
usage data, i.e., distinct patterns of use, modeled by a Markovian process.
Variations of Hidden Markov Models (HMMs) are evaluated for continuous user
verification, and ch... | 0 | 0 | 0 | 1 | 0 | 0 |
On the Universality of Invariant Networks | Constraining linear layers in neural networks to respect symmetry
transformations from a group $G$ is a common design principle for invariant
networks that has found many applications in machine learning.
In this paper, we consider a fundamental question that has received little
attention to date: Can these networks ... | 1 | 0 | 0 | 1 | 0 | 0 |
Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms? | We study how the behavior of deep policy gradient algorithms reflects the
conceptual framework motivating their development. We propose a fine-grained
analysis of state-of-the-art methods based on key aspects of this framework:
gradient estimation, value prediction, optimization landscapes, and trust
region enforceme... | 1 | 0 | 0 | 0 | 0 | 0 |
Achieving Privacy in the Adversarial Multi-Armed Bandit | In this paper, we improve the previously best known regret bound to achieve
$\epsilon$-differential privacy in oblivious adversarial bandits from
$\mathcal{O}{(T^{2/3}/\epsilon)}$ to $\mathcal{O}{(\sqrt{T} \ln T /\epsilon)}$.
This is achieved by combining a Laplace Mechanism with EXP3. We show that
though EXP3 is alr... | 1 | 0 | 0 | 0 | 0 | 0 |
Proximity Variational Inference | Variational inference is a powerful approach for approximate posterior
inference. However, it is sensitive to initialization and can be subject to
poor local optima. In this paper, we develop proximity variational inference
(PVI). PVI is a new method for optimizing the variational objective that
constrains subsequent... | 1 | 0 | 0 | 1 | 0 | 0 |
Mandarin tone modeling using recurrent neural networks | We propose an Encoder-Classifier framework to model the Mandarin tones using
recurrent neural networks (RNN). In this framework, extracted frames of
features for tone classification are fed in to the RNN and casted into a fixed
dimensional vector (tone embedding) and then classified into tone types using a
softmax la... | 1 | 0 | 0 | 0 | 0 | 0 |
Shallow water models with constant vorticity | We modify the nonlinear shallow water equations, the Korteweg-de Vries
equation, and the Whitham equation, to permit constant vorticity, and examine
wave breaking, or the lack thereof. By wave breaking, we mean that the solution
remains bounded but its slope becomes unbounded in finite time. We show that a
solution o... | 0 | 1 | 1 | 0 | 0 | 0 |
Tensor Balancing on Statistical Manifold | We solve tensor balancing, rescaling an Nth order nonnegative tensor by
multiplying N tensors of order N - 1 so that every fiber sums to one. This
generalizes a fundamental process of matrix balancing used to compare matrices
in a wide range of applications from biology to economics. We present an
efficient balancing... | 1 | 0 | 0 | 1 | 0 | 0 |
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach | We consider the problem of learning an unknown Markov Decision Process (MDP)
that is weakly communicating in the infinite horizon setting. We propose a
Thompson Sampling-based reinforcement learning algorithm with dynamic episodes
(TSDE). At the beginning of each episode, the algorithm generates a sample from
the pos... | 1 | 0 | 0 | 0 | 0 | 0 |
Models of Random Knots | The study of knots and links from a probabilistic viewpoint provides insight
into the behavior of "typical" knots, and opens avenues for new constructions
of knots and other topological objects with interesting properties. The
knotting of random curves arises also in applications to the natural sciences,
such as in t... | 0 | 0 | 1 | 0 | 0 | 0 |
Revival structures of coherent states for Xm exceptional orthogonal polynomials of the Scarf I potential within position-dependent effective mass | The revival structures for the X_m exceptional orthogonal polynomials of the
Scarf I potential endowed with position-dependent effective mass is studied in
the context of the generalized Gazeau-Klauder coherent states. It is shown that
in the case of the constant mass, the deduced coherent states mimic full and
fract... | 0 | 0 | 1 | 0 | 0 | 0 |
Autonomous drone cinematographer: Using artistic principles to create smooth, safe, occlusion-free trajectories for aerial filming | Autonomous aerial cinematography has the potential to enable automatic
capture of aesthetically pleasing videos without requiring human intervention,
empowering individuals with the capability of high-end film studios. Current
approaches either only handle off-line trajectory generation, or offer
strategies that reas... | 1 | 0 | 0 | 0 | 0 | 0 |
Fifth order finite volume WENO in general orthogonally-curvilinear coordinates | High order reconstruction in the finite volume (FV) approach is achieved by a
more fundamental form of the fifth order WENO reconstruction in the framework
of orthogonally-curvilinear coordinates, for solving the hyperbolic
conservation equations. The derivation employs a piecewise parabolic polynomial
approximation ... | 0 | 1 | 0 | 0 | 0 | 0 |
Traffic Minimizing Caching and Latent Variable Distributions of Order Statistics | Given a statistical model for the request frequencies and sizes of data
objects in a caching system, we derive the probability density of the size of
the file that accounts for the largest amount of data traffic. This is
equivalent to finding the required size of the cache for a caching placement
that maximizes the e... | 1 | 0 | 0 | 0 | 0 | 0 |
Maximizing the information learned from finite data selects a simple model | We use the language of uninformative Bayesian prior choice to study the
selection of appropriately simple effective models. We advocate for the prior
which maximizes the mutual information between parameters and predictions,
learning as much as possible from limited data. When many parameters are poorly
constrained b... | 0 | 0 | 1 | 1 | 0 | 0 |
Aging Feynman-Kac Equation | Aging, the process of growing old or maturing, is one of the most widely seen
natural phenomena in the world. For the stochastic processes, sometimes the
influence of aging can not be ignored. For example, in this paper, by analyzing
the functional distribution of the trajectories of aging particles performing
anomal... | 0 | 1 | 0 | 0 | 0 | 0 |
Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods | We present and apply a general-purpose, multi-start algorithm for improving
the performance of low-energy samplers used for solving optimization problems.
The algorithm iteratively fixes the value of a large portion of the variables
to values that have a high probability of being optimal. The resulting problems
are s... | 1 | 1 | 0 | 0 | 0 | 0 |
BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning | We introduce a novel method to train agents of reinforcement learning (RL) by
sharing knowledge in a way similar to the concept of using a book. The recorded
information in the form of a book is the main means by which humans learn
knowledge. Nevertheless, the conventional deep RL methods have mainly focused
either o... | 1 | 0 | 0 | 0 | 0 | 0 |
A global scavenging and circulation ocean model of thorium-230 and protactinium-231 with realistic particle dynamics (NEMO-ProThorP 0.1) | In this paper, we set forth a 3-D ocean model of the radioactive trace
isotopes Th-230 and Pa-231. The interest arises from the fact that these
isotopes are extensively used for investigating particle transport in the ocean
and reconstructing past ocean circulation. The tracers are reversibly scavenged
by biogenic an... | 1 | 1 | 0 | 0 | 0 | 0 |
The Dynamic Geometry of Interaction Machine: A Call-by-need Graph Rewriter | Girard's Geometry of Interaction (GoI), a semantics designed for linear logic
proofs, has been also successfully applied to programming language semantics.
One way is to use abstract machines that pass a token on a fixed graph along a
path indicated by the GoI. These token-passing abstract machines are space
efficien... | 1 | 0 | 0 | 0 | 0 | 0 |
Classification of finite W-groups | We determine the structure of the W-group $\mathcal{G}_F$, the small Galois
quotient of the absolute Galois group $G_F$ of the Pythagorean formally real
field $F$ when the space of orderings $X_F$ has finite order. Based on
Marshall's work (1979), we reduce the structure of $\mathcal{G}_F$ to that of
$\mathcal{G}_{\b... | 0 | 0 | 1 | 0 | 0 | 0 |
A Batch-Incremental Video Background Estimation Model using Weighted Low-Rank Approximation of Matrices | Principal component pursuit (PCP) is a state-of-the-art approach for
background estimation problems. Due to their higher computational cost, PCP
algorithms, such as robust principal component analysis (RPCA) and its
variants, are not feasible in processing high definition videos. To avoid the
curse of dimensionality ... | 1 | 0 | 1 | 0 | 0 | 0 |
Chromospheric Activity of HAT-P-11: an Unusually Active Planet-Hosting K Star | Kepler photometry of the hot Neptune host star HAT-P-11 suggests that its
spot latitude distribution is comparable to the Sun's near solar maximum. We
search for evidence of an activity cycle in the CaII H & K chromospheric
emission $S$-index with archival Keck/HIRES spectra and observations from the
echelle spectrog... | 0 | 1 | 0 | 0 | 0 | 0 |
Automated Detection of Serializability Violations under Weak Consistency | While a number of weak consistency mechanisms have been developed in recent
years to improve performance and ensure availability in distributed, replicated
systems, ensuring correctness of transactional applications running on top of
such systems remains a difficult and important problem. Serializability is a
well-un... | 1 | 0 | 0 | 0 | 0 | 0 |
Andreev reflection in 2D relativistic materials with realistic tunneling transparency in normal-metal-superconductor junctions | The Andreev conductance across 2d normal metal (N)/superconductor (SC)
junctions with relativistic Dirac spectrum is investigated theoretically in the
Blonder-Tinkham-Klapwijk formalism. It is shown that for relativistic
materials, due to the Klein tunneling instead of impurity potentials, the local
strain in the jun... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-Task Learning for Contextual Bandits | Contextual bandits are a form of multi-armed bandit in which the agent has
access to predictive side information (known as the context) for each arm at
each time step, and have been used to model personalized news recommendation,
ad placement, and other applications. In this work, we propose a multi-task
learning fra... | 1 | 0 | 0 | 1 | 0 | 0 |
Admissible topologies on $C(Y,Z)$ and ${\cal O}_Z(Y)$ | Let $Y$ and $Z$ be two given topological spaces, ${\cal O}(Y)$ (respectively,
${\cal O}(Z)$) the set of all open subsets of $Y$ (respectively, $Z$), and
$C(Y,Z)$ the set of all continuous maps from $Y$ to $Z$. We study Scott type
topologies on ${\mathcal O}(Y)$ and we construct admissible topologies on
$C(Y,Z)$ and $... | 0 | 0 | 1 | 0 | 0 | 0 |
Weighted spherical means generated by generalized translation and general Euler-Poisson-Darboux equation | We consider the spherical mean generated by a multidimensional generalized
translation and general Euler-Poisson-Darboux equation corresponding to this
mean. The Asgeirsson property of solutions of the ultrahyperbolic equation that
includes singular differential Bessel operators acting by each variable is
provided.
| 0 | 0 | 1 | 0 | 0 | 0 |
K-Means Clustering using Tabu Search with Quantized Means | The Tabu Search (TS) metaheuristic has been proposed for K-Means clustering
as an alternative to Lloyd's algorithm, which for all its ease of
implementation and fast runtime, has the major drawback of being trapped at
local optima. While the TS approach can yield superior performance, it involves
a high computational... | 1 | 0 | 0 | 0 | 0 | 0 |
In-silico Feedback Control of a MIMO Synthetic Toggle Switch via Pulse-Width Modulation | The synthetic toggle switch, first proposed by Gardner & Collins [1] is a
MIMO control system that can be controlled by varying the concentrations of two
inducer molecules, aTc and IPTG, to achieve a desired level of expression of
the two genes it comprises. It has been shown [2] that this can be accomplished
through... | 1 | 0 | 0 | 0 | 0 | 0 |
Holomorphic foliations tangent to Levi-flat subsets | We study Segre varieties associated to Levi-flat subsets in complex manifolds
and apply them to establish local and global results on the integration of
tangent holomorphic foliations.
| 0 | 0 | 1 | 0 | 0 | 0 |
Real-Time Panoramic Tracking for Event Cameras | Event cameras are a paradigm shift in camera technology. Instead of full
frames, the sensor captures a sparse set of events caused by intensity changes.
Since only the changes are transferred, those cameras are able to capture quick
movements of objects in the scene or of the camera itself. In this work we
propose a ... | 1 | 0 | 0 | 0 | 0 | 0 |
Halo nonlinear reconstruction | We apply the nonlinear reconstruction method to simulated halo fields. For
halo number density $2.77\times 10^{-2}$ $(h^{-1} {\rm Mpc})^{-3}$ at $z=0$,
corresponding to the SDSS main sample density, we find the scale where the
noise saturates the linear signal is improved to $k\gtrsim0.36\ h {\rm
Mpc}^{-1}$, a factor... | 0 | 1 | 0 | 0 | 0 | 0 |
Molecular semimetallic hydrogen | Establishing metallic hydrogen is a goal of intensive theoretical and
experimental work since 1935 when Wigner and Hungtinton [1] predicted that
insulating molecular hydrogen will dissociate at high pressures and transform
to a metal. This metal is predicted to be a superconductor with very high
critical temperature ... | 0 | 1 | 0 | 0 | 0 | 0 |
Order-Sensitivity and Equivariance of Scoring Functions | The relative performance of competing point forecasts is usually measured in
terms of loss or scoring functions. It is widely accepted that these scoring
function should be strictly consistent in the sense that the expected score is
minimized by the correctly specified forecast for a certain statistical
functional su... | 0 | 0 | 1 | 1 | 0 | 0 |
Light in Power: A General and Parameter-free Algorithm for Caustic Design | We present in this paper a generic and parameter-free algorithm to
efficiently build a wide variety of optical components, such as mirrors or
lenses, that satisfy some light energy constraints. In all of our problems, one
is given a collimated or point light source and a desired illumination after
reflection or refra... | 1 | 0 | 0 | 0 | 0 | 0 |
Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data | In this paper, we investigate the potential of estimating the soil-moisture
content based on VNIR hyperspectral data combined with LWIR data. Measurements
from a multi-sensor field campaign represent the benchmark dataset which
contains measured hyperspectral, LWIR, and soil-moisture data conducted on
grassland site.... | 0 | 0 | 0 | 1 | 0 | 0 |
Distilling a Neural Network Into a Soft Decision Tree | Deep neural networks have proved to be a very effective way to perform
classification tasks. They excel when the input data is high dimensional, the
relationship between the input and the output is complicated, and the number of
labeled training examples is large. But it is hard to explain why a learned
network makes... | 1 | 0 | 0 | 1 | 0 | 0 |
A General Scheme Implicit Force Control for a Flexible-Link Manipulator | In this paper we propose an implicit force control scheme for a one-link
flexible manipulator that interact with a compliant environment. The controller
was based in the mathematical model of the manipulator, considering the
dynamics of the beam flexible and the gravitational force. With this method,
the controller p... | 1 | 1 | 0 | 0 | 0 | 0 |
CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments | Casual conversations involving multiple speakers and noises from surrounding
devices are part of everyday environments and pose challenges for automatic
speech recognition systems. These challenges in speech recognition are target
for the CHiME-5 challenge. In the present study, an attempt is made to overcome
these c... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision | Tool manipulation is vital for facilitating robots to complete challenging
task goals. It requires reasoning about the desired effect of the task and thus
properly grasping and manipulating the tool to achieve the task. Task-agnostic
grasping optimizes for grasp robustness while ignoring crucial task-specific
constra... | 1 | 0 | 0 | 1 | 0 | 0 |
Classification of Minimal Separating Sets in Low Genus Surfaces | Consider a surface $S$ and let $M\subset S$. If $S\setminus M$ is not
connected, then we say $M$ \emph{separates} $S$, and we refer to $M$ as a
\emph{separating set} of $S$. If $M$ separates $S$, and no proper subset of $M$
separates $S$, then we say $M$ is a \emph{minimal separating set} of $S$. In
this paper we use... | 0 | 0 | 1 | 0 | 0 | 0 |
A feasibility study on SSVEP-based interaction with motivating and immersive virtual and augmented reality | Non-invasive steady-state visual evoked potential (SSVEP) based
brain-computer interface (BCI) systems offer high bandwidth compared to other
BCI types and require only minimal calibration and training. Virtual reality
(VR) has been already validated as effective, safe, affordable and motivating
feedback modality for... | 1 | 0 | 0 | 0 | 0 | 0 |
Intelligent User Interfaces - A Tutorial | IUIs aim to incorporate intelligent automated capabilities in human computer
interaction, where the net impact is a human-computer interaction that improves
performance or usability in critical ways. It also involves designing and
implementing an artificial intelligence (AI) component that effectively
leverages human... | 1 | 0 | 0 | 0 | 0 | 0 |
Graph Partitioning with Acyclicity Constraints | Graphs are widely used to model execution dependencies in applications. In
particular, the NP-complete problem of partitioning a graph under constraints
receives enormous attention by researchers because of its applicability in
multiprocessor scheduling. We identified the additional constraint of acyclic
dependencies... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning Sublinear-Time Indexing for Nearest Neighbor Search | Most of the efficient sublinear-time indexing algorithms for the
high-dimensional nearest neighbor search problem (NNS) are based on space
partitions of the ambient space $\mathbb{R}^d$. Inspired by recent theoretical
work on NNS for general metric spaces [Andoni, Naor, Nikolov, Razenshteyn,
Waingarten STOC 2018, FOC... | 1 | 0 | 0 | 1 | 0 | 0 |
Lempel-Ziv Jaccard Distance, an Effective Alternative to Ssdeep and Sdhash | Recent work has proposed the Lempel-Ziv Jaccard Distance (LZJD) as a method
to measure the similarity between binary byte sequences for malware
classification. We propose and test LZJD's effectiveness as a similarity digest
hash for digital forensics. To do so we develop a high performance Java
implementation with th... | 1 | 0 | 0 | 0 | 0 | 0 |
Graded Steinberg algebras and their representations | We study the category of left unital graded modules over the Steinberg
algebra of a graded ample Hausdorff groupoid. In the first part of the paper,
we show that this category is isomorphic to the category of unital left modules
over the Steinberg algebra of the skew-product groupoid arising from the
grading. To do t... | 0 | 0 | 1 | 0 | 0 | 0 |
Movement of time-delayed hot spots in Euclidean space for special initial states | We consider the Cauchy problem for the damped wave equation under the initial
state that the sum of an initial position and an initial velocity vanishes.
When the initial position is non-zero, non-negative and compactly supported, we
study the large time behavior of the spatial null, critical, maximum and
minimum set... | 0 | 0 | 1 | 0 | 0 | 0 |
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction | Time series prediction has been studied in a variety of domains. However, it
is still challenging to predict future series given historical observations and
past exogenous data. Existing methods either fail to consider the interactions
among different components of exogenous variables which may affect the
prediction ... | 0 | 0 | 0 | 1 | 0 | 0 |
Mass distribution and skewness for passive scalar transport in pipes with polygonal and smooth cross-sections | We extend our previous results characterizing the loading properties of a
diffusing passive scalar advected by a laminar shear flow in ducts and channels
to more general cross-sectional shapes, including regular polygons and smoothed
corner ducts originating from deformations of ellipses. For the case of the
triangle... | 0 | 1 | 0 | 0 | 0 | 0 |
An Optics-Based Approach to Thermal Management of Photovoltaics: Selective-Spectral and Radiative Cooling | For commercial one-sun solar modules, up to 80% of the incoming sunlight may
be dissipated as heat, potentially raising the temperature 20 C - 30 C higher
than the ambient. In the long term, extreme self-heating erodes efficiency and
shortens lifetime, thereby dramatically reducing the total energy output.
Therefore,... | 0 | 1 | 0 | 0 | 0 | 0 |
GOLDRUSH. II. Clustering of Galaxies at $z\sim 4-6$ Revealed with the Half-Million Dropouts Over the 100 deg$^2$ Area Corresponding to 1 Gpc$^3$ | We present clustering properties from 579,492 Lyman break galaxies (LBGs) at
z~4-6 over the 100 deg^2 sky (corresponding to a 1.4 Gpc^3 volume) identified
in early data of the Hyper Suprime-Cam (HSC) Subaru strategic program survey.
We derive angular correlation functions (ACFs) of the HSC LBGs with
unprecedentedly h... | 0 | 1 | 0 | 0 | 0 | 0 |
The Least-Area Tetrahedral Tile of Space | We prove the least-area, unit-volume, tetrahedral tile of Euclidean space,
without the assumption of Gallagher et al. that the tiling uses only
orientation-preserving images of the tile. The winner remains Sommerville's
type 4v.
| 0 | 0 | 1 | 0 | 0 | 0 |
Renormalization group theory for percolation in time-varying networks | Motivated by multi-hop communication in unreliable wireless networks, we
present a percolation theory for time-varying networks. We develop a
renormalization group theory for a prototypical network on a regular grid,
where individual links switch stochastically between active and inactive
states. The question whether... | 1 | 1 | 0 | 0 | 0 | 0 |
Spectral properties and breathing dynamics of a few-body Bose-Bose mixture in a 1D harmonic trap | We investigate a few-body mixture of two bosonic components, each consisting
of two particles confined in a quasi one-dimensional harmonic trap. By means of
exact diagonalization with a correlated basis approach we obtain the low-energy
spectrum and eigenstates for the whole range of repulsive intra- and
inter-compon... | 0 | 1 | 0 | 0 | 0 | 0 |
Study of secondary neutron interactions with $^{232}$Th, $^{129}$I, and $^{127}$I nuclei with the uranium assembly "QUINTA" at 2, 4, and 8 GeV deuteron beams of the JINR Nuclotron accelerator | The natural uranium assembly, "QUINTA", was irradiated with 2, 4, and 8 GeV
deuterons. The $^{232}$Th, $^{127}$I, and $^{129}$I samples have been exposed
to secondary neutrons produced in the assembly at a 20-cm radial distance from
the deuteron beam axis. The spectra of gamma rays emitted by the activated
$^{232}$Th... | 0 | 1 | 0 | 0 | 0 | 0 |
Short Proofs for Slow Consistency | Let $\operatorname{Con}(\mathbf T)\!\restriction\!x$ denote the finite
consistency statement "there are no proofs of contradiction in $\mathbf T$ with
$\leq x$ symbols". For a large class of natural theories $\mathbf T$, Pudlák
has shown that the lengths of the shortest proofs of
$\operatorname{Con}(\mathbf T)\!\rest... | 0 | 0 | 1 | 0 | 0 | 0 |
Response to Comment on "Cell nuclei have lower refractive index and mass density than cytoplasm" | In a recent study entitled "Cell nuclei have lower refractive index and mass
density than cytoplasm", we provided strong evidence indicating that the
nuclear refractive index (RI) is lower than the RI of the cytoplasm for several
cell lines. In a complementary study in 2017, entitled "Is the nuclear
refractive index ... | 0 | 0 | 0 | 0 | 1 | 0 |
On the composition of an arbitrary collection of $SU(2)$ spins: An Enumerative Combinatoric Approach | The whole enterprise of spin compositions can be recast as simple enumerative
combinatoric problems. We show here that enumerative combinatorics
(EC)\citep{book:Stanley-2011} is a natural setting for spin composition, and
easily leads to very general analytic formulae -- many of which hitherto not
present in the lite... | 1 | 0 | 1 | 0 | 0 | 0 |
Perceived Performance of Webpages In the Wild: Insights from Large-scale Crowdsourcing of Above-the-Fold QoE | Clearly, no one likes webpages with poor quality of experience (QoE). Being
perceived as slow or fast is a key element in the overall perceived QoE of web
applications. While extensive effort has been put into optimizing web
applications (both in industry and academia), not a lot of work exists in
characterizing what... | 1 | 0 | 0 | 1 | 0 | 0 |
Entanglement and exotic superfluidity in spin-imbalanced lattices | We investigate the properties of entanglement in one-dimensional fermionic
lattices at the Fulde-Ferrell-Larkin-Ovchinnikov (FFLO) superfluid regime. By
analyzing occupation probabilities, which are concepts closely related to FFLO
and entanglement, we obtain approximate analytical expressions for the
spin-flip proce... | 0 | 1 | 0 | 0 | 0 | 0 |
Informed Non-convex Robust Principal Component Analysis with Features | We revisit the problem of robust principal component analysis with features
acting as prior side information. To this aim, a novel, elegant, non-convex
optimization approach is proposed to decompose a given observation matrix into
a low-rank core and the corresponding sparse residual. Rigorous theoretical
analysis of... | 0 | 0 | 0 | 1 | 0 | 0 |
A note on self orbit equivalences of Anosov flows and bundles with fiberwise Anosov flows | We show that a self orbit equivalence of a transitive Anosov flow on a
$3$-manifold which is homotopic to identity has to either preserve every orbit
or the Anosov flow is $\mathbb{R}$-covered and the orbit equivalence has to be
of a specific type. This result shows that one can remove a relatively
unnatural assumpti... | 0 | 0 | 1 | 0 | 0 | 0 |
The Metallicity of the Intracluster Medium Over Cosmic Time: Further Evidence for Early Enrichment | We use Chandra X-ray data to measure the metallicity of the intracluster
medium (ICM) in 245 massive galaxy clusters selected from X-ray and
Sunyaev-Zel'dovich (SZ) effect surveys, spanning redshifts $0<z<1.2$.
Metallicities were measured in three different radial ranges, spanning cluster
cores through their outskirt... | 0 | 1 | 0 | 0 | 0 | 0 |
Graphical Models: An Extension to Random Graphs, Trees, and Other Objects | In this work, we consider an extension of graphical models to random graphs,
trees, and other objects. To do this, many fundamental concepts for
multivariate random variables (e.g., marginal variables, Gibbs distribution,
Markov properties) must be extended to other mathematical objects; it turns out
that this extens... | 1 | 0 | 0 | 1 | 0 | 0 |
Boundary Control method and De Branges spaces. Schrödinger equation, Dirac system and Discrete Schrödinger operator | In the framework of the application of the Boundary Control method to solving
the inverse dynamical problems for the one-dimensional Schrödinger and Dirac
operators on the half-line and semi-infinite discrete Schrödinger operator,
we establish the connections with the method of De Branges: for each of the
system we c... | 0 | 0 | 1 | 0 | 0 | 0 |
On the evolution of galaxy spin in a cosmological hydrodynamic simulation of galaxy clusters | The traditional view of the morphology-spin connection is being challenged by
recent integral-field-unit observations, as the majority of early-type galaxies
are found to have a rotational component that is often as large as a dispersion
component. Mergers are often suspected to be critical in galaxy spin evolution,
... | 0 | 1 | 0 | 0 | 0 | 0 |
Diagrammatic Approach to Multiphoton Scattering | We present a method to systematically study multi-photon transmission in one
dimensional systems comprised of correlated quantum emitters coupled to input
and output waveguides. Within the Green's function approach of the scattering
matrix (S-matrix), we develop a diagrammatic technique to analytically obtain
the sys... | 0 | 1 | 0 | 0 | 0 | 0 |
Efficient Computation of Feedback Control for Constrained Systems | A method is presented for solving the discrete-time finite-horizon Linear
Quadratic Regulator (LQR) problem subject to auxiliary linear equality
constraints, such as fixed end-point constraints. The method explicitly
determines an affine relationship between the control and state variables, as
in standard Riccati rec... | 1 | 0 | 0 | 0 | 0 | 0 |
A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations | As the size of modern data sets exceeds the disk and memory capacities of a
single computer, machine learning practitioners have resorted to parallel and
distributed computing. Given that optimization is one of the pillars of machine
learning and predictive modeling, distributed optimization methods have
recently gar... | 0 | 0 | 0 | 1 | 0 | 0 |
Unified Model of D-Term Inflation | Hybrid inflation, driven by a Fayet-Iliopoulos (FI) D term, is an intriguing
inflationary model. In its usual formulation, it however suffers from several
shortcomings. These pertain to the origin of the FI mass scale, the stability
of scalar fields during inflation, gravitational corrections in supergravity,
as well... | 0 | 1 | 0 | 0 | 0 | 0 |
Signal Recovery from Unlabeled Samples | In this paper, we study the recovery of a signal from a set of noisy linear
projections (measurements), when such projections are unlabeled, that is, the
correspondence between the measurements and the set of projection vectors
(i.e., the rows of the measurement matrix) is not known a priori. We consider a
special ca... | 1 | 0 | 0 | 1 | 0 | 0 |
Piecewise linear generalized Alexander's theorem in dimension at most 5 | We study piecewise linear co-dimension two embeddings of closed oriented
manifolds in Euclidean space, and show that any such embedding can always be
isotoped to be a closed braid as long as the ambient dimension is at most five,
extending results of Alexander (in ambient dimension three), and Viro and
independently ... | 0 | 0 | 1 | 0 | 0 | 0 |
Sample complexity of population recovery | The problem of population recovery refers to estimating a distribution based
on incomplete or corrupted samples. Consider a random poll of sample size $n$
conducted on a population of individuals, where each pollee is asked to answer
$d$ binary questions. We consider one of the two polling impediments: (a) in
lossy p... | 1 | 0 | 1 | 1 | 0 | 0 |
Asymptotic Exponentiality of the First Exit Time of the Shiryaev-Roberts Diffusion with Constant Positive Drift | We consider the first exit time of a Shiryaev-Roberts diffusion with constant
positive drift from the interval $[0,A]$ where $A>0$. We show that the moment
generating function (Laplace transform) of a suitably standardized version of
the first exit time converges to that of the unit-mean exponential distribution
as $... | 0 | 0 | 1 | 1 | 0 | 0 |
Learning to Teach Reinforcement Learning Agents | In this article we study the transfer learning model of action advice under a
budget. We focus on reinforcement learning teachers providing action advice to
heterogeneous students playing the game of Pac-Man under a limited advice
budget. First, we examine several critical factors affecting advice quality in
this set... | 1 | 0 | 0 | 0 | 0 | 0 |
Giant room-temperature barocaloric effects in PDMS rubber at low pressures | The barocaloric effect is still an incipient scientific topic, but it has
been attracting an increasing attention in the last years due to the promising
perspectives for its application in alternative cooling devices. Here, we
present giant values of barocaloric entropy change and temperature change
induced by low pr... | 0 | 1 | 0 | 0 | 0 | 0 |
$({\mathfrak{gl}}_M, {\mathfrak{gl}}_N)$-Dualities in Gaudin Models with Irregular Singularities | We establish $({\mathfrak{gl}}_M, {\mathfrak{gl}}_N)$-dualities between
quantum Gaudin models with irregular singularities. Specifically, for any $M, N
\in {\mathbb Z}_{\geq 1}$ we consider two Gaudin models: the one associated
with the Lie algebra ${\mathfrak{gl}}_M$ which has a double pole at infinity
and $N$ poles... | 0 | 0 | 1 | 0 | 0 | 0 |
Dynamic coupling of a finite element solver to large-scale atomistic simulations | We propose a method for efficiently coupling the finite element method with
atomistic simulations, while using molecular dynamics or kinetic Monte Carlo
techniques. Our method can dynamically build an optimized unstructured mesh
that follows the geometry defined by atomistic data. On this mesh, different
multiphysics... | 1 | 1 | 0 | 0 | 0 | 0 |
A study of periodograms standardized using training data sets and application to exoplanet detection | When the noise affecting time series is colored with unknown statistics, a
difficulty for sinusoid detection is to control the true significance level of
the test outcome. This paper investigates the possibility of using training
data sets of the noise to improve this control. Specifically, we analyze the
performance... | 0 | 1 | 1 | 1 | 0 | 0 |
An Efficient Deep Learning Technique for the Navier-Stokes Equations: Application to Unsteady Wake Flow Dynamics | We present an efficient deep learning technique for the model reduction of
the Navier-Stokes equations for unsteady flow problems. The proposed technique
relies on the Convolutional Neural Network (CNN) and the stochastic gradient
descent method. Of particular interest is to predict the unsteady fluid forces
for diff... | 0 | 1 | 0 | 0 | 0 | 0 |
Accurate fast computation of steady two-dimensional surface gravity waves in arbitrary depth | This paper describes an efficient algorithm for computing steady
two-dimensional surface gravity wave in irrotational motion. The algorithm
complexity is O(N log N), N being the number of Fourier modes. The algorithm
allows the arbitrary precision computation of waves in arbitrary depth, i.e.,
it works efficiently fo... | 0 | 1 | 1 | 0 | 0 | 0 |
AutoWIG: Automatic Generation of Python Bindings for C++ Libraries | Most of Python and R scientific packages incorporate compiled scientific
libraries to speed up the code and reuse legacy libraries. While several
semi-automatic solutions exist to wrap these compiled libraries, the process of
wrapping a large library is cumbersome and time consuming. In this paper, we
introduce AutoW... | 1 | 0 | 0 | 0 | 0 | 0 |
Fate of Weyl semimetals in the presence of incommensurate potentials | We investigate the effect of the incommensurate potential on Weyl semimetal,
which is proposed to be realized in ultracold atomic systems trapped in
three-dimensional optical lattices. For the system without the Fermi arc, we
find that the Weyl points are robust against the incommensurate potential and
the system ent... | 0 | 1 | 0 | 0 | 0 | 0 |
Word equations in linear space | Word equations are an important problem on the intersection of formal
languages and algebra. Given two sequences consisting of letters and variables
we are to decide whether there is a substitution for the variables that turns
this equation into true equality of strings. The computational complexity of
this problem r... | 1 | 0 | 0 | 0 | 0 | 0 |
Selective Strong Structural Minimum Cost Resilient Co-Design for Regular Descriptor Linear Systems | This paper addresses the problem of minimum cost resilient
actuation-sensing-communication co-design for regular descriptor systems while
ensuring selective strong structural system's properties. More specifically,
the problem consists of determining the minimum cost deployment of actuation
and sensing technology, as... | 0 | 0 | 1 | 0 | 0 | 0 |
Maximum a Posteriori Policy Optimisation | We introduce a new algorithm for reinforcement learning called Maximum
aposteriori Policy Optimisation (MPO) based on coordinate ascent on a relative
entropy objective. We show that several existing methods can directly be
related to our derivation. We develop two off-policy algorithms and demonstrate
that they are c... | 1 | 0 | 0 | 1 | 0 | 0 |
On Geodesic Completeness for Riemannian Metrics on Smooth Probability Densities | The geometric approach to optimal transport and information theory has
triggered the interpretation of probability densities as an
infinite-dimensional Riemannian manifold. The most studied Riemannian
structures are Otto's metric, yielding the $L^2$-Wasserstein distance of
optimal mass transport, and the Fisher--Rao ... | 0 | 0 | 1 | 0 | 0 | 0 |
Hacker Combat: A Competitive Sport from Programmatic Dueling & Cyberwarfare | The history of humanhood has included competitive activities of many
different forms. Sports have offered many benefits beyond that of
entertainment. At the time of this article, there exists not a competitive
ecosystem for cyber security beyond that of conventional capture the flag
competitions, and the like. This p... | 1 | 0 | 0 | 0 | 0 | 0 |
Providing Effective Real-time Feedback in Simulation-based Surgical Training | Virtual reality simulation is becoming popular as a training platform in
surgical education. However, one important aspect of simulation-based surgical
training that has not received much attention is the provision of automated
real-time performance feedback to support the learning process. Performance
feedback is ac... | 1 | 0 | 0 | 0 | 0 | 0 |
Large-Scale Classification of Structured Objects using a CRF with Deep Class Embedding | This paper presents a novel deep learning architecture to classify structured
objects in datasets with a large number of visually similar categories. We
model sequences of images as linear-chain CRFs, and jointly learn the
parameters from both local-visual features and neighboring classes. The visual
features are com... | 1 | 0 | 0 | 0 | 0 | 0 |
code2seq: Generating Sequences from Structured Representations of Code | The ability to generate natural language sequences from source code snippets
has a variety of applications such as code summarization, documentation, and
retrieval. Sequence-to-sequence (seq2seq) models, adopted from neural machine
translation (NMT), have achieved state-of-the-art performance on these tasks by
treati... | 1 | 0 | 0 | 1 | 0 | 0 |
Learning Neural Parsers with Deterministic Differentiable Imitation Learning | We explore the problem of learning to decompose spatial tasks into segments,
as exemplified by the problem of a painting robot covering a large object.
Inspired by the ability of classical decision tree algorithms to construct
structured partitions of their input spaces, we formulate the problem of
decomposing object... | 1 | 0 | 0 | 1 | 0 | 0 |
Dimension of the minimum set for the real and complex Monge-Ampère equations in critical Sobolev spaces | We prove that the zero set of a nonnegative plurisubharmonic function that
solves $\det (\partial \overline{\partial} u) \geq 1$ in $\mathbb{C}^n$ and is
in $W^{2, \frac{n(n-k)}{k}}$ contains no analytic sub-variety of dimension $k$
or larger. Along the way we prove an analogous result for the real
Monge-Ampère equat... | 0 | 0 | 1 | 0 | 0 | 0 |
Road Detection Technique Using Filters with Application to Autonomous Driving System | Autonomous driving systems are broadly used equipment in the industries and
in our daily lives, they assist in production, but are majorly used for
exploration in dangerous or unfamiliar locations. Thus, for a successful
exploration, navigation plays a significant role. Road detection is an
essential factor that assi... | 1 | 0 | 0 | 0 | 0 | 0 |
Relativistic Spacecraft Propelled by Directed Energy | Achieving relativistic flight to enable extrasolar exploration is one of the
dreams of humanity and the long term goal of our NASA Starlight program. We
derive a fully relativistic solution for the motion of a spacecraft propelled
by radiation pressure from a directed energy system. Depending on the system
parameters... | 0 | 1 | 0 | 0 | 0 | 0 |
Outward Influence and Cascade Size Estimation in Billion-scale Networks | Estimating cascade size and nodes' influence is a fundamental task in social,
technological, and biological networks. Yet this task is extremely challenging
due to the sheer size and the structural heterogeneity of networks. We
investigate a new influence measure, termed outward influence (OI), defined as
the (expect... | 1 | 0 | 0 | 0 | 0 | 0 |
Estimation of a noisy subordinated Brownian Motion via two-scales power variations | High frequency based estimation methods for a semiparametric pure-jump
subordinated Brownian motion exposed to a small additive microstructure noise
are developed building on the two-scales realized variations approach
originally developed by Zhang et. al. (2005) for the estimation of the
integrated variance of a con... | 0 | 0 | 1 | 1 | 0 | 0 |
Mirror actuation design for the interferometer control of the KAGRA gravitational wave telescope | KAGRA is a 3-km cryogenic interferometric gravitational wave telescope
located at an underground site in Japan. In order to achieve its target
sensitivity, the relative positions of the mirrors of the interferometer must
be finely adjusted with attached actuators. We have developed a model to
simulate the length cont... | 0 | 1 | 0 | 0 | 0 | 0 |
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