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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Riemann-Langevin Particle Filtering in Track-Before-Detect | Track-before-detect (TBD) is a powerful approach that consists in providing
the tracker with sensor measurements directly without pre-detection. Due to the
measurement model non-linearities, online state estimation in TBD is most
commonly solved via particle filtering. Existing particle filters for TBD do
not incorpo... | 0 | 0 | 0 | 1 | 0 | 0 |
The universal connection for principal bundles over homogeneous spaces and twistor space of coadjoint orbits | Given a holomorphic principal bundle $Q\, \longrightarrow\, X$, the universal
space of holomorphic connections is a torsor $C_1(Q)$ for $\text{ad} Q \otimes
T^*X$ such that the pullback of $Q$ to $C_1(Q)$ has a tautological holomorphic
connection. When $X\,=\, G/P$, where $P$ is a parabolic subgroup of a complex
simp... | 0 | 0 | 1 | 0 | 0 | 0 |
Equivariance Through Parameter-Sharing | We propose to study equivariance in deep neural networks through parameter
symmetries. In particular, given a group $\mathcal{G}$ that acts discretely on
the input and output of a standard neural network layer $\phi_{W}: \Re^{M} \to
\Re^{N}$, we show that $\phi_{W}$ is equivariant with respect to
$\mathcal{G}$-action... | 1 | 0 | 0 | 1 | 0 | 0 |
Quantum light in curved low dimensional hexagonal boron nitride systems | Low-dimensional wide bandgap semiconductors open a new playing field in
quantum optics using sub-bandgap excitation. In this field, hexagonal boron
nitride (h-BN) has been reported to host single quantum emitters (QEs), linking
QE density to perimeters. Furthermore, curvature/perimeters in transition metal
dichalcoge... | 0 | 1 | 0 | 0 | 0 | 0 |
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation | While recent developments in autonomous vehicle (AV) technology highlight
substantial progress, we lack tools for rigorous and scalable testing.
Real-world testing, the $\textit{de facto}$ evaluation environment, places the
public in danger, and, due to the rare nature of accidents, will require
billions of miles in ... | 1 | 0 | 0 | 0 | 0 | 0 |
Exact time-dependent exchange-correlation potential in electron scattering processes | We identify peak and valley structures in the exact exchange-correlation
potential of time-dependent density functional theory that are crucial for
time-resolved electron scattering in a model one-dimensional system. These
structures are completely missed by adiabatic approximations which consequently
significantly u... | 0 | 1 | 0 | 0 | 0 | 0 |
Polynomial-Time Algorithms for Sliding Tokens on Cactus Graphs and Block Graphs | Given two independent sets $I, J$ of a graph $G$, and imagine that a token
(coin) is placed at each vertex of $I$. The Sliding Token problem asks if one
could transform $I$ to $J$ via a sequence of elementary steps, where each step
requires sliding a token from one vertex to one of its neighbors so that the
resulting... | 1 | 0 | 0 | 0 | 0 | 0 |
Summarized Network Behavior Prediction | This work studies the entity-wise topical behavior from massive network logs.
Both the temporal and the spatial relationships of the behavior are explored
with the learning architectures combing the recurrent neural network (RNN) and
the convolutional neural network (CNN). To make the behavioral data appropriate
for ... | 1 | 0 | 0 | 1 | 0 | 0 |
Stabiliser states are efficiently PAC-learnable | The exponential scaling of the wave function is a fundamental property of
quantum systems with far reaching implications in our ability to process
quantum information. A problem where these are particularly relevant is quantum
state tomography. State tomography, whose objective is to obtain a full
description of a qu... | 1 | 0 | 0 | 0 | 0 | 0 |
A bound for the shortest reset words for semisimple synchronizing automata via the packing number | We show that if a semisimple synchronizing automaton with $n$ states has a
minimal reachable non-unary subset of cardinality $r\ge 2$, then there is a
reset word of length at most $(n-1)D(2,r,n)$, where $D(2,r,n)$ is the
$2$-packing number for families of $r$-subsets of $[1,n]$.
| 1 | 0 | 1 | 0 | 0 | 0 |
HyperENTM: Evolving Scalable Neural Turing Machines through HyperNEAT | Recent developments within memory-augmented neural networks have solved
sequential problems requiring long-term memory, which are intractable for
traditional neural networks. However, current approaches still struggle to
scale to large memory sizes and sequence lengths. In this paper we show how
access to memory can ... | 1 | 0 | 0 | 0 | 0 | 0 |
X-Ray and Gamma-Ray Emission from Middle-aged Supernova Remnants in Cavities. I. Spherical Symmetry | We present analytical and numerical studies of models of supernova-remnant
(SNR) blast waves expanding into uniform media and interacting with a denser
cavity wall, in one spatial dimension. We predict the nonthermal emission from
such blast waves: synchrotron emission at radio and X-ray energies, and
bremsstrahlung,... | 0 | 1 | 0 | 0 | 0 | 0 |
An adverse selection approach to power pricing | We study the optimal design of electricity contracts among a population of
consumers with different needs. This question is tackled within the framework
of Principal-Agent problems in presence of adverse selection. The particular
features of electricity induce an unusual structure on the production cost,
with no decr... | 0 | 0 | 1 | 0 | 0 | 0 |
Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains | We consider the minimization of an objective function given access to
unbiased estimates of its gradient through stochastic gradient descent (SGD)
with constant step-size. While the detailed analysis was only performed for
quadratic functions, we provide an explicit asymptotic expansion of the moments
of the averaged... | 0 | 0 | 1 | 1 | 0 | 0 |
Learning Overcomplete HMMs | We study the problem of learning overcomplete HMMs---those that have many
hidden states but a small output alphabet. Despite having significant practical
importance, such HMMs are poorly understood with no known positive or negative
results for efficient learning. In this paper, we present several new
results---both ... | 1 | 0 | 0 | 1 | 0 | 0 |
Migration barriers for surface diffusion on a rigid lattice: challenges and solutions | Atomistic rigid lattice Kinetic Monte Carlo is an efficient method for
simulating nano-objects and surfaces at timescales much longer than those
accessible by molecular dynamics. A laborious part of constructing any Kinetic
Monte Carlo model is, however, to calculate all migration barriers that are
needed to give the... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Quest for an Acyclic Graph | The paper aims at finding acyclic graphs under a given set of constraints.
More specifically, given a propositional formula {\phi} over edges of a
fixed-size graph, the objective is to find a model of {\phi} that corresponds
to a graph that is acyclic. The paper proposes several encodings of the problem
and compares ... | 1 | 0 | 0 | 0 | 0 | 0 |
Robust Matrix Elastic Net based Canonical Correlation Analysis: An Effective Algorithm for Multi-View Unsupervised Learning | This paper presents a robust matrix elastic net based canonical correlation
analysis (RMEN-CCA) for multiple view unsupervised learning problems, which
emphasizes the combination of CCA and the robust matrix elastic net (RMEN) used
as coupled feature selection. The RMEN-CCA leverages the strength of the RMEN
to disti... | 1 | 0 | 0 | 1 | 0 | 0 |
C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset | Visual Question Answering (VQA) has received a lot of attention over the past
couple of years. A number of deep learning models have been proposed for this
task. However, it has been shown that these models are heavily driven by
superficial correlations in the training data and lack compositionality -- the
ability to... | 1 | 0 | 0 | 0 | 0 | 0 |
Spherical Planetary Robot for Rugged Terrain Traversal | Wheeled planetary rovers such as the Mars Exploration Rovers (MERs) and Mars
Science Laboratory (MSL) have provided unprecedented, detailed images of the
Mars surface. However, these rovers are large and are of high-cost as they need
to carry sophisticated instruments and science laboratories. We propose the
developm... | 1 | 1 | 0 | 0 | 0 | 0 |
Active Learning for Accurate Estimation of Linear Models | We explore the sequential decision making problem where the goal is to
estimate uniformly well a number of linear models, given a shared budget of
random contexts independently sampled from a known distribution. The decision
maker must query one of the linear models for each incoming context, and
receives an observat... | 1 | 0 | 0 | 1 | 0 | 0 |
Revisiting Frequency Reuse towards Supporting Ultra-Reliable Ubiquitous-Rate Communication | One of the goals of 5G wireless systems stated by the NGMN alliance is to
provide moderate rates (50+ Mbps) everywhere and with very high reliability. We
term this service Ultra-Reliable Ubiquitous-Rate Communication (UR2C). This
paper investigates the role of frequency reuse in supporting UR2C in the
downlink. To th... | 1 | 0 | 0 | 0 | 0 | 0 |
Local isometric immersions of pseudo-spherical surfaces and k-th order evolution equations | We consider the class of evolution equations that describe pseudo-spherical
surfaces of the form u\_t = F (u, $\partial$u/$\partial$x, ..., $\partial$^k
u/$\partial$x^k), k $\ge$ 2 classified by Chern-Tenenblat. This class of
equations is characterized by the property that to each solution of a
differential equation ... | 0 | 0 | 1 | 0 | 0 | 0 |
Integrating Flexible Normalization into Mid-Level Representations of Deep Convolutional Neural Networks | Deep convolutional neural networks (CNNs) are becoming increasingly popular
models to predict neural responses in visual cortex. However, contextual
effects, which are prevalent in neural processing and in perception, are not
explicitly handled by current CNNs, including those used for neural prediction.
In primary v... | 0 | 0 | 0 | 0 | 1 | 0 |
Moments and non-vanishing of Hecke $L$-functions with quadratic characters in $\mathbb{Q}(i)$ at the central point | In this paper, we study the moments of central values of Hecke $L$-functions
associated with quadratic characters in $\mq(i)$, and establish quantitative
non-vanishing result for the $L$-values.
| 0 | 0 | 1 | 0 | 0 | 0 |
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning | Graphs are a commonly used construct for representing relationships between
elements in complex high dimensional datasets. Many real-world phenomenon are
dynamic in nature, meaning that any graph used to represent them is inherently
temporal. However, many of the machine learning models designed to capture
knowledge ... | 1 | 0 | 0 | 0 | 0 | 0 |
Decentralized Tube-based Model Predictive Control of Uncertain Nonlinear Multi-Agent Systems | This paper addresses the problem of decentralized tube-based nonlinear Model
Predictive Control (NMPC) for a class of uncertain nonlinear continuous-time
multi-agent systems with additive and bounded disturbance. In particular, the
problem of robust navigation of a multi-agent system to predefined states of
the works... | 1 | 0 | 0 | 0 | 0 | 0 |
Cognition of the circle in ancient India | We discuss the understanding of geometry of the circle in ancient India, in
terms of enunciation of various principles, constructions, applications etc.
during various phases of history and cultural contexts.
| 0 | 0 | 1 | 0 | 0 | 0 |
Estimates for $π(x)$ for large values of $x$ and Ramanujan's prime counting inequality | In this paper we use refined approximations for Chebyshev's
$\vartheta$-function to establish new explicit estimates for the prime counting
function $\pi(x)$, which improve the current best estimates for large values of
$x$. As an application we find an upper bound for the number $H_0$ which is
defined to be the smal... | 0 | 0 | 1 | 0 | 0 | 0 |
Unveiled electric profiles within hydrogen bonds suggest DNA base pairs with similar bond strengths | Electrical forces are the background of all the interactions occurring in
biochemical systems. From here and by using a combination of ab-initio and
ad-hoc models, we introduce the first description of electric field profiles
with intrabond resolution to support a characterization of single bond forces
attending to i... | 0 | 0 | 0 | 0 | 1 | 0 |
Mimetization of the elastic properties of cancellous bone via a parameterized cellular material | Bone tissue mechanical properties and trabecular microarchitecture are the
main factors that determine the biomechanical properties of cancellous bone.
Artificial cancellous microstructures, typically described by a reduced number
of geometrical parameters, can be designed to obtain a mechanical behavior
mimicking th... | 0 | 1 | 0 | 0 | 0 | 0 |
Extended Vertical Lists for Temporal Pattern Mining from Multivariate Time Series | Temporal Pattern Mining (TPM) is the problem of mining predictive complex
temporal patterns from multivariate time series in a supervised setting. We
develop a new method called the Fast Temporal Pattern Mining with Extended
Vertical Lists. This method utilizes an extension of the Apriori property which
requires a mo... | 0 | 0 | 0 | 1 | 0 | 0 |
PowerAlert: An Integrity Checker using Power Measurement | We propose PowerAlert, an efficient external integrity checker for untrusted
hosts. Current attestation systems suffer from shortcomings in requiring
complete checksum of the code segment, being static, use of timing information
sourced from the untrusted machine, or use of timing information with high
error (network... | 1 | 0 | 0 | 0 | 0 | 0 |
Extension complexities of Cartesian products involving a pyramid | It is an open question whether the linear extension complexity of the
Cartesian product of two polytopes P, Q is the sum of the extension
complexities of P and Q. We give an affirmative answer to this question for the
case that one of the two polytopes is a pyramid.
| 1 | 0 | 1 | 0 | 0 | 0 |
Speech recognition for medical conversations | In this work we explored building automatic speech recognition models for
transcribing doctor patient conversation. We collected a large scale dataset of
clinical conversations ($14,000$ hr), designed the task to represent the real
word scenario, and explored several alignment approaches to iteratively improve
data q... | 1 | 0 | 0 | 1 | 0 | 0 |
Changing users' security behaviour towards security questions: A game based learning approach | Fallback authentication is used to retrieve forgotten passwords. Security
questions are one of the main techniques used to conduct fallback
authentication. In this paper, we propose a serious game design that uses
system-generated security questions with the aim of improving the usability of
fallback authentication. ... | 1 | 0 | 0 | 0 | 0 | 0 |
Understanding Web Archiving Services and Their (Mis)Use on Social Media | Web archiving services play an increasingly important role in today's
information ecosystem, by ensuring the continuing availability of information,
or by deliberately caching content that might get deleted or removed. Among
these, the Wayback Machine has been proactively archiving, since 2001, versions
of a large nu... | 1 | 0 | 0 | 0 | 0 | 0 |
Mining a Sub-Matrix of Maximal Sum | Biclustering techniques have been widely used to identify homogeneous
subgroups within large data matrices, such as subsets of genes similarly
expressed across subsets of patients. Mining a max-sum sub-matrix is a related
but distinct problem for which one looks for a (non-necessarily contiguous)
rectangular sub-matr... | 1 | 0 | 0 | 1 | 0 | 0 |
Training Deep Networks without Learning Rates Through Coin Betting | Deep learning methods achieve state-of-the-art performance in many
application scenarios. Yet, these methods require a significant amount of
hyperparameters tuning in order to achieve the best results. In particular,
tuning the learning rates in the stochastic optimization process is still one
of the main bottlenecks... | 1 | 0 | 1 | 1 | 0 | 0 |
Joint Beamforming and Antenna Selection for Sum Rate Maximization in Cognitive Radio Networks | This letter studies joint transmit beamforming and antenna selection at a
secondary base station (BS) with multiple primary users (PUs) in an underlay
cognitive radio multiple-input single-output broadcast channel. The objective
is to maximize the sum rate subject to the secondary BS transmit power, minimum
required ... | 1 | 0 | 0 | 0 | 0 | 0 |
Multi-sequence segmentation via score and higher-criticism tests | We propose local segmentation of multiple sequences sharing a common time- or
location-index, building upon the single sequence local segmentation methods of
Niu and Zhang (2012) and Fang, Li and Siegmund (2016). We also propose reverse
segmentation of multiple sequences that is new even in the single sequence
contex... | 0 | 0 | 1 | 1 | 0 | 0 |
Evidence for structural transition in crystalline tantalum pentoxide films grown by RF magnetron sputtering | We investigate the effect of annealing temperature on the crystalline
structure and physical properties of tantalum-pentoxide films grown by radio
frequency magnetron sputtering. For this purpose, several tantalum films were
deposited and the Ta$_2$O$_5$ crystalline phase was induced by exposing the
samples to heat t... | 0 | 1 | 0 | 0 | 0 | 0 |
Emergence and Reductionism: an awkward Baconian alliance | This article discusses the relationship between emergence and reductionism
from the perspective of a condensed matter physicist. Reductionism and
emergence play an intertwined role in the everyday life of the physicist, yet
we rarely stop to contemplate their relationship: indeed, the two are often
regarded as confli... | 0 | 1 | 0 | 0 | 0 | 0 |
Pipelined Parallel FFT Architecture | In this paper, an optimized efficient VLSI architecture of a pipeline Fast
Fourier transform (FFT) processor capable of producing the reverse output order
sequence is presented. Paper presents Radix-2 multipath delay architecture for
FFT calculation. The implementation of FFT in hardware is very critical because
for ... | 1 | 0 | 1 | 0 | 0 | 0 |
Global smoothing of a subanalytic set | We give rather simple answers to two long-standing questions in real-analytic
geometry, on global smoothing of a subanalytic set, and on transformation of a
proper real-analytic mapping to a mapping with equidimensional fibres by global
blowings-up of the target. These questions are related: a positive answer to
the ... | 0 | 0 | 1 | 0 | 0 | 0 |
Coupled Compound Poisson Factorization | We present a general framework, the coupled compound Poisson factorization
(CCPF), to capture the missing-data mechanism in extremely sparse data sets by
coupling a hierarchical Poisson factorization with an arbitrary data-generating
model. We derive a stochastic variational inference algorithm for the resulting
mode... | 1 | 0 | 0 | 1 | 0 | 0 |
A model bridging chimera state and explosive synchronization | Global and partial synchronization are the two distinctive forms of
synchronization in coupled oscillators and have been well studied in the past
decades. Recent attention on synchronization is focused on the chimera state
(CS) and explosive synchronization (ES), but little attention has been paid to
their relationsh... | 0 | 1 | 0 | 0 | 0 | 0 |
Spatial modeling of shot conversion in soccer to single out goalscoring ability | Goals are results of pin-point shots and it is a pivotal decision in soccer
when, how and where to shoot. The main contribution of this study is two-fold.
At first, after showing that there exists high spatial correlation in the data
of shots across games, we introduce a spatial process in the error structure to
mode... | 0 | 0 | 0 | 1 | 0 | 0 |
Metrics for Formal Structures, with an Application to Kripke Models and their Dynamics | This report introduces and investigates a family of metrics on sets of
pointed Kripke models. The metrics are generalizations of the Hamming distance
applicable to countably infinite binary strings and, by extension, logical
theories or semantic structures. We first study the topological properties of
the resulting m... | 0 | 0 | 1 | 0 | 0 | 0 |
Hyperbolic Dispersion Dominant Regime Identified through Spontaneous Emission Variations near Metamaterial Interfaces | Surface plasmon polariton, hyberbolic dispersion of energy and momentum, and
emission interference provide opportunities to control photoluminescence
properties. However, the interplays between these regimes need to be understood
to take advantage of them in optoelectronic applications. Here, we investigate
broadband... | 0 | 1 | 0 | 0 | 0 | 0 |
Legendrian Satellites and Decomposable Concordances | We investigate the ramifications of the Legendrian satellite construction on
the relation of Lagrangian cobordism between Legendrian knots. Under a simple
hypothesis, we construct a Lagrangian concordance between two Legendrian
satellites by stacking up a sequence of elementary cobordisms. This
construction narrows t... | 0 | 0 | 1 | 0 | 0 | 0 |
Plausible Deniability for Privacy-Preserving Data Synthesis | Releasing full data records is one of the most challenging problems in data
privacy. On the one hand, many of the popular techniques such as data
de-identification are problematic because of their dependence on the background
knowledge of adversaries. On the other hand, rigorous methods such as the
exponential mechan... | 1 | 0 | 0 | 1 | 0 | 0 |
The Co-Evolution of Test Maintenance and Code Maintenance through the lens of Fine-Grained Semantic Changes | Automatic testing is a widely adopted technique for improving software
quality. Software developers add, remove and update test methods and test
classes as part of the software development process as well as during the
evolution phase, following the initial release. In this work we conduct a large
scale study of 61 p... | 1 | 0 | 0 | 0 | 0 | 0 |
Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning | Autonomous vehicles (AVs) are on the road. To safely and efficiently interact
with other road participants, AVs have to accurately predict the behavior of
surrounding vehicles and plan accordingly. Such prediction should be
probabilistic, to address the uncertainties in human behavior. Such prediction
should also be ... | 1 | 0 | 0 | 1 | 0 | 0 |
Fast-slow asymptotics for a Markov chain model of fast sodium current | We explore the feasibility of using fast-slow asymptotic to eliminate the
computational stiffness of the discrete-state, continuous-time deterministic
Markov chain models of ionic channels underlying cardiac excitability. We focus
on a Markov chain model of the fast sodium current, and investigate its
asymptotic beha... | 0 | 1 | 0 | 0 | 0 | 0 |
Beating the bookies with their own numbers - and how the online sports betting market is rigged | The online sports gambling industry employs teams of data analysts to build
forecast models that turn the odds at sports games in their favour. While
several betting strategies have been proposed to beat bookmakers, from expert
prediction models and arbitrage strategies to odds bias exploitation, their
returns have b... | 1 | 0 | 0 | 1 | 0 | 0 |
Fixation probabilities for the Moran process in evolutionary games with two strategies: graph shapes and large population asymptotics | This paper is based on the complete classification of evolutionary scenarios
for the Moran process with two strategies given by Taylor et al. (B. Math.
Biol. 66(6): 1621--1644, 2004). Their classification is based on whether each
strategy is a Nash equilibrium and whether the fixation probability for a
single individ... | 0 | 0 | 0 | 0 | 1 | 0 |
FPGA Design Techniques for Stable Cryogenic Operation | In this paper we show how a deep-submicron FPGA can be modified to operate at
extremely low temperatures through modifications in the supporting hardware and
in the firmware programming it. Though FPGAs are not designed to operate at a
few Kelvin, it is possible to do so on virtue of the extremely high doping
levels ... | 0 | 1 | 0 | 0 | 0 | 0 |
Curvature-aided Incremental Aggregated Gradient Method | We propose a new algorithm for finite sum optimization which we call the
curvature-aided incremental aggregated gradient (CIAG) method. Motivated by the
problem of training a classifier for a d-dimensional problem, where the number
of training data is $m$ and $m \gg d \gg 1$, the CIAG method seeks to
accelerate incre... | 1 | 0 | 0 | 1 | 0 | 0 |
The composition of Solar system asteroids and Earth/Mars moons, and the Earth-Moon composition similarity | [abridged] In the typical giant-impact scenario for the Moon formation most
of the Moon's material originates from the impactor. Any Earth-impactor
composition difference should, therefore, correspond to a comparable Earth-Moon
composition difference. Analysis of Moon rocks shows a close Earth-Moon
composition simila... | 0 | 1 | 0 | 0 | 0 | 0 |
Maximum Margin Interval Trees | Learning a regression function using censored or interval-valued output data
is an important problem in fields such as genomics and medicine. The goal is to
learn a real-valued prediction function, and the training output labels
indicate an interval of possible values. Whereas most existing algorithms for
this task a... | 1 | 0 | 0 | 1 | 0 | 0 |
Provable and practical approximations for the degree distribution using sublinear graph samples | The degree distribution is one of the most fundamental properties used in the
analysis of massive graphs. There is a large literature on graph sampling,
where the goal is to estimate properties (especially the degree distribution)
of a large graph through a small, random sample. The degree distribution
estimation pos... | 1 | 0 | 1 | 0 | 0 | 0 |
Efficient and Robust Polylinear Analysis of Noisy Time Series | A method is proposed to generate an optimal fit of a number of connected
linear trend segments onto time-series data. To be able to efficiently handle
many lines, the method employs a stochastic search procedure to determine
optimal transition point locations. Traditional methods use exhaustive grid
searches, which s... | 0 | 0 | 0 | 1 | 0 | 0 |
On the optimal design of wall-to-wall heat transport | We consider the problem of optimizing heat transport through an
incompressible fluid layer. Modeling passive scalar transport by
advection-diffusion, we maximize the mean rate of total transport by a
divergence-free velocity field. Subject to various boundary conditions and
intensity constraints, we prove that the ma... | 0 | 1 | 0 | 0 | 0 | 0 |
On the decay rate for the wave equation with viscoelastic boundary damping | We consider the wave equation with a boundary condition of memory type. Under
natural conditions on the acoustic impedance $\hat{k}$ of the boundary one can
define a corresponding semigroup of contractions (Desch, Fasangova, Milota,
Probst 2010). With the help of Tauberian theorems we establish energy decay
rates via... | 0 | 0 | 1 | 0 | 0 | 0 |
Code Reuse With Transformation Objects | We present an approach for a lightweight datatype-generic programming in
Objective Caml programming language aimed at better code reuse. We show, that a
large class of transformations usually expressed via recursive functions with
pattern matching can be implemented using the single per-type traversal
function and th... | 1 | 0 | 0 | 0 | 0 | 0 |
Fixed effects testing in high-dimensional linear mixed models | Many scientific and engineering challenges -- ranging from pharmacokinetic
drug dosage allocation and personalized medicine to marketing mix (4Ps)
recommendations -- require an understanding of the unobserved heterogeneity in
order to develop the best decision making-processes. In this paper, we develop
a hypothesis ... | 1 | 0 | 1 | 1 | 0 | 0 |
Ubiquitous quasi-Fuchsian surfaces in cusped hyperbolic 3-manifolds | This paper proves that every finite volume hyperbolic 3-manifold M contains a
ubiquitous collection of closed, immersed, quasi-Fuchsian surfaces. These
surfaces are ubiquitous in the sense that their preimages in the universal
cover separate any pair of disjoint, non-asymptotic geodesic planes. The proof
relies in a ... | 0 | 0 | 1 | 0 | 0 | 0 |
Generic Cospark of a Matrix Can Be Computed in Polynomial Time | The cospark of a matrix is the cardinality of the sparsest vector in the
column space of the matrix. Computing the cospark of a matrix is well known to
be an NP hard problem. Given the sparsity pattern (i.e., the locations of the
non-zero entries) of a matrix, if the non-zero entries are drawn from
independently dist... | 1 | 0 | 0 | 0 | 0 | 0 |
Generative Adversarial Network based Speaker Adaptation for High Fidelity WaveNet Vocoder | Neural networks based vocoders, typically the WaveNet, have achieved
spectacular performance for text-to-speech (TTS) in recent years. Although
state-of-the-art parallel WaveNet has addressed the issue of real-time waveform
generation, there remains problems. Firstly, due to the noisy input signal of
the model, there... | 1 | 0 | 0 | 0 | 0 | 0 |
CitizenGrid: An Online Middleware for Crowdsourcing Scientific Research | In the last few years, contributions of the general public in scientific
projects has increased due to the advancement of communication and computing
technologies. Internet played an important role in connecting scientists and
volunteers who are interested in participating in their scientific projects.
However, despi... | 1 | 0 | 0 | 0 | 0 | 0 |
Singular sensitivity in a Keller-Segel-fluid system | In bounded smooth domains $\Omega\subset\mathbb{R}^N$, $N\in\{2,3\}$,
considering the chemotaxis--fluid system
\[ \begin{cases} \begin{split} & n_t + u\cdot \nabla n &= \Delta n - \chi
\nabla \cdot(\frac{n}{c}\nabla c) &\\ & c_t + u\cdot \nabla c &= \Delta c - c +
n &\\ & u_t + \kappa (u\cdot \nabla) u &= \Delta u + ... | 0 | 0 | 1 | 0 | 0 | 0 |
Asymptotic theory of multiple-set linear canonical analysis | This paper deals with asymptotics for multiple-set linear canonical analysis
(MSLCA). A definition of this analysis, that adapts the classical one to the
context of Euclidean random variables, is given and properties of the related
canonical coefficients are derived. Then, estimators of the MSLCA's elements,
based on... | 0 | 0 | 1 | 1 | 0 | 0 |
Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography | The rapid development of deep learning, a family of machine learning
techniques, has spurred much interest in its application to medical imaging
problems. Here, we develop a deep learning algorithm that can accurately detect
breast cancer on screening mammograms using an "end-to-end" training approach
that efficientl... | 1 | 0 | 0 | 1 | 0 | 0 |
Nviz - A General Purpse Visualization tool for Wireless Sensor Networks | In a Wireless Sensor Network (WSN), data manipulation and representation is a
crucial part and can take a lot of time to be developed from scratch. Although
various visualization tools have been created for certain projects so far,
these tools can only be used in certain scenarios, due to their hard-coded
packet form... | 1 | 0 | 0 | 0 | 0 | 0 |
Transient photon echoes from donor-bound excitons in ZnO epitaxial layers | The coherent optical response from 140~nm and 65~nm thick ZnO epitaxial
layers is studied using transient four-wave-mixing spectroscopy with picosecond
temporal resolution. Resonant excitation of neutral donor-bound excitons
results in two-pulse and three-pulse photon echoes. For the donor-bound A
exciton (D$^0$X$_\t... | 0 | 1 | 0 | 0 | 0 | 0 |
The Quasar Luminosity Function at Redshift 4 with Hyper Suprime-Cam Wide Survey | We present the luminosity function of z=4 quasars based on the Hyper
Suprime-Cam Subaru Strategic Program Wide layer imaging data in the g, r, i, z,
and y bands covering 339.8 deg^2. From stellar objects, 1666 z~4 quasar
candidates are selected by the g-dropout selection down to i=24.0 mag. Their
photometric redshift... | 0 | 1 | 0 | 0 | 0 | 0 |
Towards Industry 4.0: Gap Analysis between Current Automotive MES and Industry Standards using Model-Based Requirement Engineering | The dawn of the fourth industrial revolution, Industry 4.0 has created great
enthusiasm among companies and researchers by giving them an opportunity to
pave the path towards the vision of a connected smart factory ecosystem.
However, in context of automotive industry there is an evident gap between the
requirements ... | 1 | 0 | 0 | 0 | 0 | 0 |
A Constrained Conditional Likelihood Approach for Estimating the Means of Selected Populations | Given p independent normal populations, we consider the problem of estimating
the mean of those populations, that based on the observed data, give the
strongest signals. We explicitly condition on the ranking of the sample means,
and consider a constrained conditional maximum likelihood (CCMLE) approach,
avoiding the... | 0 | 0 | 0 | 1 | 0 | 0 |
Phase transition in the spiked random tensor with Rademacher prior | We consider the problem of detecting a deformation from a symmetric Gaussian
random $p$-tensor $(p\geq 3)$ with a rank-one spike sampled from the Rademacher
prior. Recently in Lesieur et al. (2017), it was proved that there exists a
critical threshold $\beta_p$ so that when the signal-to-noise ratio exceeds
$\beta_p$... | 0 | 0 | 1 | 0 | 0 | 0 |
Extended depth-range profilometry using the phase-difference and phase-sum of two close-sensitivity projected fringes | We propose a high signal-to-noise extended depth-range three-dimensional (3D)
profilometer projecting two linear-fringes with close phase-sensitivity. We use
temporal phase-shifting algorithms (PSAs) to phase-demodulate the two close
sensitivity phases. Then we calculate their phase-difference and their
phase-sum. If... | 0 | 1 | 0 | 0 | 0 | 0 |
A Language for Probabilistically Oblivious Computation | An oblivious computation is one that is free of direct and indirect
information leaks, e.g., due to observable differences in timing and memory
access patterns. This paper presents Lobliv, a core language whose type system
enforces obliviousness. Prior work on type-enforced oblivious computation has
focused on determ... | 1 | 0 | 0 | 0 | 0 | 0 |
Single shot, double differential spectral measurements of inverse Compton scattering in linear and nonlinear regimes | Inverse Compton scattering (ICS) is a unique mechanism for producing fast
pulses - picosecond and below - of bright X- to gamma-rays. These nominally
narrow spectral bandwidth electromagnetic radiation pulses are efficiently
produced in the interaction between intense, well-focused electron and laser
beams. The spect... | 0 | 1 | 0 | 0 | 0 | 0 |
Yarkovsky Drift Detections for 159 Near-Earth Asteroids | The Yarkovsky effect is a thermal process acting upon the orbits of small
celestial bodies, which can cause these orbits to slowly expand or contract
with time. The effect is subtle -- typical drift rates lie near $10^{-4}$ au/My
for a $\sim$1 km diameter object -- and is thus generally difficult to measure.
However,... | 0 | 1 | 0 | 0 | 0 | 0 |
A short note on Godbersen's Conjecture | In this short note we improve the best to date bound in Godbersen's
conjecture, and show some implications for unbalanced difference bodies.
| 0 | 0 | 1 | 0 | 0 | 0 |
The derivative NLS equation: global existence with solitons | We extend the global existence result for the derivative NLS equation to the
case when the initial datum includes a finite number of solitons. This is
achieved by an application of the Bäcklund transformation that removes a
finite number of zeros of the scattering coefficient. By means of this
transformation, the Rie... | 0 | 1 | 1 | 0 | 0 | 0 |
Missing dust signature in the cosmic microwave background | I examine a possible spectral distortion of the Cosmic Microwave Background
(CMB) due to its absorption by galactic and intergalactic dust. I show that
even subtle intergalactic opacity of $1 \times 10^{-7}\, \mathrm{mag}\, h\,
\mathrm{Gpc}^{-1}$ at the CMB wavelengths in the local Universe causes
non-negligible CMB ... | 0 | 1 | 0 | 0 | 0 | 0 |
Option market (in)efficiency and implied volatility dynamics after return jumps | In informationally efficient financial markets, option prices and this
implied volatility should immediately be adjusted to new information that
arrives along with a jump in underlying's return, whereas gradual changes in
implied volatility would indicate market inefficiency. Using minute-by-minute
data on S&P 500 in... | 0 | 0 | 0 | 0 | 0 | 1 |
Combining Alchemical Transformation with Physical Pathway to Accurately Compute Absolute Binding Free Energy | We present a new method that combines alchemical transformation with physical
pathway to accurately and efficiently compute the absolute binding free energy
of receptor-ligand complex. Currently, the double decoupling method (DDM) and
the potential of mean force approach (PMF) methods are widely used to compute
the a... | 0 | 0 | 0 | 0 | 1 | 0 |
Embedding Feature Selection for Large-scale Hierarchical Classification | Large-scale Hierarchical Classification (HC) involves datasets consisting of
thousands of classes and millions of training instances with high-dimensional
features posing several big data challenges. Feature selection that aims to
select the subset of discriminant features is an effective strategy to deal
with large-... | 1 | 0 | 0 | 1 | 0 | 0 |
Orientably-regular maps on twisted linear fractional groups | We present an enumeration of orientably-regular maps with automorphism group
isomorphic to the twisted linear fractional group $M(q^2)$ for any odd prime
power $q$.
| 0 | 0 | 1 | 0 | 0 | 0 |
Deep Mean Functions for Meta-Learning in Gaussian Processes | Fitting machine learning models in the low-data limit is challenging. The
main challenge is to obtain suitable prior knowledge and encode it into the
model, for instance in the form of a Gaussian process prior. Recent advances in
meta-learning offer powerful methods for extracting such prior knowledge from
data acqui... | 1 | 0 | 0 | 1 | 0 | 0 |
Projectors separating spectra for $L^2$ on symmetric spaces $GL(n,\C)/GL(n,\R)$ | The Plancherel decomposition of $L^2$ on a pseudo-Riemannian symmetric space
$GL(n,C)/GL(n,R)$ has spectrum of $[n/2]$ types. We write explicitly orthogonal
projectors separating spectrum into uniform pieces
| 0 | 0 | 1 | 0 | 0 | 0 |
On the continued fraction expansion of absolutely normal numbers | We construct an absolutely normal number whose continued fraction expansion
is normal in the sense that it contains all finite patterns of partial
quotients with the expected asymptotic frequency as given by the Gauss-Kuzmin
measure. The construction is based on ideas of Sierpinski and uses a large
deviations theorem... | 0 | 0 | 1 | 0 | 0 | 0 |
Talking Open Data | Enticing users into exploring Open Data remains an important challenge for
the whole Open Data paradigm. Standard stock interfaces often used by Open Data
portals are anything but inspiring even for tech-savvy users, let alone those
without an articulated interest in data science. To address a broader range of
citize... | 1 | 0 | 0 | 0 | 0 | 0 |
Static non-reciprocity in mechanical metamaterials | Reciprocity is a fundamental principle governing various physical systems,
which ensures that the transfer function between any two points in space is
identical, regardless of geometrical or material asymmetries. Breaking this
transmission symmetry offers enhanced control over signal transport, isolation
and source p... | 0 | 1 | 0 | 0 | 0 | 0 |
A forward-adjoint operator pair based on the elastic wave equation for use in transcranial photoacoustic tomography | Photoacoustic computed tomography (PACT) is an emerging imaging modality that
exploits optical contrast and ultrasonic detection principles to form images of
the photoacoustically induced initial pressure distribution within tissue. The
PACT reconstruction problem corresponds to an inverse source problem in which
the... | 0 | 1 | 0 | 0 | 0 | 0 |
Sewing Riemannian Manifolds with Positive Scalar Curvature | We explore to what extent one may hope to preserve geometric properties of
three dimensional manifolds with lower scalar curvature bounds under
Gromov-Hausdorff and Intrinsic Flat limits. We introduce a new construction,
called sewing, of three dimensional manifolds that preserves positive scalar
curvature. We then u... | 0 | 0 | 1 | 0 | 0 | 0 |
Concentration of quadratic forms under a Bernstein moment assumption | A concentration result for quadratic form of independent subgaussian random
variables is derived. If the moments of the random variables satisfy a
"Bernstein condition", then the variance term of the Hanson-Wright inequality
can be improved. The Bernstein condition is satisfied, for instance, by all
log-concave subga... | 0 | 0 | 1 | 1 | 0 | 0 |
Short DNA persistence length in a mesoscopic helical model | The flexibility of short DNA chains is investigated via computation of the
average correlation function between dimers which defines the persistence
length. Path integration techniques have been applied to confine the phase
space available to base pair fluctuations and derive the partition function.
The apparent pers... | 0 | 0 | 0 | 0 | 1 | 0 |
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