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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Calabi-Yau metrics on canonical bundles of complex flag manifolds | In the present paper we provide a description of complete Calabi-Yau metrics
on the canonical bundle of generalized complex flag manifolds. By means of Lie
theory we give an explicit description of complete Ricci-flat Kähler metrics
obtained through the Calabi ansatz technique. We use this approach to provide
several... | 0 | 0 | 1 | 0 | 0 | 0 |
The ratio of normalizing constants for Bayesian graphical Gaussian model selection | Many graphical Gaussian selection methods in a Bayesian framework use the
G-Wishart as the conjugate prior on the precision matrix. The Bayes factor to
compare a model governed by a graph G and a model governed by the neighboring
graph G-e, derived from G by deleting an edge e, is a function of the ratios of
prior an... | 0 | 0 | 1 | 1 | 0 | 0 |
Angiogenic Factors produced by Hypoxic Cells are a leading driver of Anastomoses in Sprouting Angiogenesis---a computational study | Angiogenesis - the growth of new blood vessels from a pre-existing
vasculature - is key in both physiological processes and on several
pathological scenarios such as cancer progression or diabetic retinopathy. For
the new vascular networks to be functional, it is required that the growing
sprouts merge either with an... | 0 | 0 | 0 | 0 | 1 | 0 |
Henri Bénard: Thermal convection and vortex shedding | We present in this article the work of Henri Bénard (1874-1939), French
physicist who began the systematic experimental study of two hydrodynamic
systems: the thermal convection of fluids heated from below (the
Rayleigh-Bénard convection and the Bénard-Marangoni convection) and the
periodical vortex shedding behind a... | 0 | 1 | 0 | 0 | 0 | 0 |
Surjective H-Colouring: New Hardness Results | A homomorphism from a graph G to a graph H is a vertex mapping f from the
vertex set of G to the vertex set of H such that there is an edge between
vertices f(u) and f(v) of H whenever there is an edge between vertices u and v
of G. The H-Colouring problem is to decide whether or not a graph G allows a
homomorphism t... | 1 | 0 | 1 | 0 | 0 | 0 |
Subband adaptive filter trained by differential evolution for channel estimation | The normalized subband adaptive filter (NSAF) is widely accepted as a
preeminent adaptive filtering algorithm because of its efficiency under the
colored excitation. However, the convergence rate of NSAF is slow. To address
this drawback, in this paper, a variant of the NSAF, called the differential
evolution (DE)-NS... | 1 | 0 | 0 | 0 | 0 | 0 |
Distributionally Robust Games: f-Divergence and Learning | In this paper we introduce the novel framework of distributionally robust
games. These are multi-player games where each player models the state of
nature using a worst-case distribution, also called adversarial distribution.
Thus each player's payoff depends on the other players' decisions and on the
decision of a v... | 1 | 0 | 1 | 0 | 0 | 0 |
Modeling and Reasoning About Wireless Networks: A Graph-based Calculus Approach | We propose a graph-based process calculus for modeling and reasoning about
wireless networks with local broadcasts. Graphs are used at syntactical level
to describe the topological structures of networks. This calculus is equipped
with a reduction semantics and a labelled transition semantics. The former is
used to d... | 1 | 0 | 0 | 0 | 0 | 0 |
Weyl's law on $RCD^*(K,N)$ metric measure spaces | In this paper, we will prove the Weyl's law for the asymptotic formula of
Dirichlet eigenvalues on metric measure spaces with generalized Ricci curvature
bounded from below.
| 0 | 0 | 1 | 0 | 0 | 0 |
The area of the Mandelbrot set and Zagier's conjecture | We prove Zagier's conjecture regarding the 2-adic valuation of the
coefficients $\{b_m\}$ that appear in Ewing and Schober's series formula for
the area of the Mandelbrot set in the case where $m\equiv 2 \mod 4$.
| 0 | 0 | 1 | 0 | 0 | 0 |
Accelerating Cross-Validation in Multinomial Logistic Regression with $\ell_1$-Regularization | We develop an approximate formula for evaluating a cross-validation estimator
of predictive likelihood for multinomial logistic regression regularized by an
$\ell_1$-norm. This allows us to avoid repeated optimizations required for
literally conducting cross-validation; hence, the computational time can be
significan... | 0 | 1 | 0 | 1 | 0 | 0 |
Realizing an optimization approach inspired from Piagets theory on cognitive development | The objective of this paper is to introduce an artificial intelligence based
optimization approach, which is inspired from Piagets theory on cognitive
development. The approach has been designed according to essential processes
that an individual may experience while learning something new or improving his
/ her know... | 1 | 0 | 1 | 0 | 0 | 0 |
Catalyst design using actively learned machine with non-ab initio input features towards CO2 reduction reactions | In conventional chemisorption model, the d-band center theory (augmented
sometimes with the upper edge of d-band for imporved accuarcy) plays a central
role in predicting adsorption energies and catalytic activity as a function of
d-band center of the solid surfaces, but it requires density functional
calculations th... | 0 | 1 | 0 | 1 | 0 | 0 |
Clustering with Temporal Constraints on Spatio-Temporal Data of Human Mobility | Extracting significant places or places of interest (POIs) using individuals'
spatio-temporal data is of fundamental importance for human mobility analysis.
Classical clustering methods have been used in prior work for detecting POIs,
but without considering temporal constraints. Usually, the involved parameters
for ... | 0 | 0 | 0 | 1 | 0 | 0 |
The maximum number of zeros of $r(z) - \overline{z}$ revisited | Generalizing several previous results in the literature on rational harmonic
functions, we derive bounds on the maximum number of zeros of functions $f(z) =
\frac{p(z)}{q(z)} - \overline{z}$, which depend on both $\mathrm{deg}(p)$ and
$\mathrm{deg}(q)$. Furthermore, we prove that any function that attains one of
thes... | 0 | 0 | 1 | 0 | 0 | 0 |
High Luminosity Large Hadron Collider HL-LHC | HL-LHC federates the efforts and R&D of a large international community
towards the ambitious HL- LHC objectives and contributes to establishing the
European Research Area (ERA) as a focal point of global research cooperation
and a leader in frontier knowledge and technologies. HL-LHC relies on strong
participation f... | 0 | 1 | 0 | 0 | 0 | 0 |
Adversarial Discriminative Sim-to-real Transfer of Visuo-motor Policies | Various approaches have been proposed to learn visuo-motor policies for
real-world robotic applications. One solution is first learning in simulation
then transferring to the real world. In the transfer, most existing approaches
need real-world images with labels. However, the labelling process is often
expensive or ... | 1 | 0 | 0 | 0 | 0 | 0 |
Algebraic Bethe ansatz for the trigonometric sl(2) Gaudin model with triangular boundary | In the derivation of the generating function of the Gaudin Hamiltonians with
boundary terms, we follow the same approach used previously in the rational
case, which in turn was based on Sklyanin's method in the periodic case. Our
derivation is centered on the quasi-classical expansion of the linear
combination of the... | 0 | 1 | 0 | 0 | 0 | 0 |
Marked Temporal Dynamics Modeling based on Recurrent Neural Network | We are now witnessing the increasing availability of event stream data, i.e.,
a sequence of events with each event typically being denoted by the time it
occurs and its mark information (e.g., event type). A fundamental problem is to
model and predict such kind of marked temporal dynamics, i.e., when the next
event w... | 1 | 0 | 0 | 0 | 0 | 0 |
A Bayesian framework for distributed estimation of arrival rates in asynchronous networks | In this paper we consider a network of agents monitoring a spatially
distributed arrival process. Each node measures the number of arrivals seen at
its monitoring point in a given time-interval with the objective of estimating
the unknown local arrival rate. We propose an asynchronous distributed approach
based on a ... | 1 | 0 | 1 | 0 | 0 | 0 |
Rigidity of branching microstructures in shape memory alloys | We analyze generic sequences for which the geometrically linear energy
\[E_\eta(u,\chi):= \eta^{-\frac{2}{3}}\int_{B_{0}(1)} \left| e(u)-
\sum_{i=1}^3 \chi_ie_i\right|^2 d x+\eta^\frac{1}{3} \sum_{i=1}^3
|D\chi_i|(B_{0}(1))\] remains bounded in the limit $\eta \to 0$. Here $ e(u)
:=1/2(Du + Du^T)$ is the (linearized)... | 0 | 0 | 1 | 0 | 0 | 0 |
Study and Observation of the Variation of Accuracies of KNN, SVM, LMNN, ENN Algorithms on Eleven Different Datasets from UCI Machine Learning Repository | Machine learning qualifies computers to assimilate with data, without being
solely programmed [1, 2]. Machine learning can be classified as supervised and
unsupervised learning. In supervised learning, computers learn an objective
that portrays an input to an output hinged on training input-output pairs [3].
Most eff... | 0 | 0 | 0 | 1 | 0 | 0 |
Network Classification in Temporal Networks Using Motifs | Network classification has a variety of applications, such as detecting
communities within networks and finding similarities between those representing
different aspects of the real world. However, most existing work in this area
focus on examining static undirected networks without considering directed
edges or temp... | 1 | 0 | 0 | 0 | 0 | 0 |
The strength of Ramsey's theorem for pairs and arbitrarily many colors | In this paper, we show that $\mathrm{RT}^{2}+\mathsf{WKL}_0$ is a
$\Pi^{1}_{1}$-conservative extension of $\mathrm{B}\Sigma^0_3$.
| 0 | 0 | 1 | 0 | 0 | 0 |
Joint Power Allocation and Beamforming for Energy-Efficient Two-Way Multi-Relay Communications | This paper considers the joint design of user power allocation and relay
beamforming in relaying communications, in which multiple pairs of
single-antenna users exchange information with each other via multiple-antenna
relays in two time slots. All users transmit their signals to the relays in the
first time slot whi... | 1 | 0 | 0 | 0 | 0 | 0 |
Forecasting Internally Displaced Population Migration Patterns in Syria and Yemen | Armed conflict has led to an unprecedented number of internally displaced
persons (IDPs) - individuals who are forced out of their homes but remain
within their country. IDPs often urgently require shelter, food, and
healthcare, yet prediction of when large fluxes of IDPs will cross into an area
remains a major chall... | 0 | 0 | 0 | 1 | 0 | 0 |
Entropy? Honest! | Here we deconstruct, and then in a reasoned way reconstruct, the concept of
"entropy of a system," paying particular attention to where the randomness may
be coming from. We start with the core concept of entropy as a COUNT associated
with a DESCRIPTION; this count (traditionally expressed in logarithmic form for
a n... | 0 | 1 | 0 | 0 | 0 | 0 |
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors | We study the problem of generating adversarial examples in a black-box
setting in which only loss-oracle access to a model is available. We introduce
a framework that conceptually unifies much of the existing work on black-box
attacks, and we demonstrate that the current state-of-the-art methods are
optimal in a natu... | 0 | 0 | 0 | 1 | 0 | 0 |
A Dynamic Model of Central Counterparty Risk | We introduce a dynamic model of the default waterfall of derivatives CCPs and
propose a risk sensitive method for sizing the initial margin (IM), and the
default fund (DF) and its allocation among clearing members. Using a Markovian
structure model of joint credit migrations, our evaluation of DF takes into
account t... | 0 | 0 | 0 | 0 | 0 | 1 |
Half-Duplex Base Station with Adaptive Scheduling of the in-Band Uplink-Receptions and Downlink-Transmissions | In this paper, we propose a novel reception/transmission scheme for
half-duplex base stations (BSs). In particular, we propose a half-duplex BS
that employes in-band uplink-receptions from user 1 and downlink-transmissions
to user 2, which occur in different time slots. Furthermore, we propose optimal
adaptive schedu... | 1 | 0 | 0 | 0 | 0 | 0 |
HAT-P-26b: A Neptune-Mass Exoplanet with a Well Constrained Heavy Element Abundance | A correlation between giant-planet mass and atmospheric heavy elemental
abundance was first noted in the past century from observations of planets in
our own Solar System, and has served as a cornerstone of planet formation
theory. Using data from the Hubble and Spitzer Space Telescopes from 0.5 to 5
microns, we cond... | 0 | 1 | 0 | 0 | 0 | 0 |
Robust Localization Using Range Measurements with Unknown and Bounded Errors | Cooperative geolocation has attracted significant research interests in
recent years. A large number of localization algorithms rely on the
availability of statistical knowledge of measurement errors, which is often
difficult to obtain in practice. Compared with the statistical knowledge of
measurement errors, it can... | 0 | 0 | 0 | 1 | 0 | 0 |
Intuitionistic Non-Normal Modal Logics: A general framework | We define a family of intuitionistic non-normal modal logics; they can bee
seen as intuitionistic counterparts of classical ones. We first consider
monomodal logics, which contain only one between Necessity and Possibility. We
then consider the more important case of bimodal logics, which contain both
modal operators... | 1 | 0 | 0 | 0 | 0 | 0 |
Externalities in Socially-Based Resource Sharing Network | This paper investigates the impact of link formation between a pair of agents
on resource availability of other agents in a social cloud network, which is a
special case of socially-based resource sharing systems. Specifically, we study
the correlation between externalities, network size, and network density.
We firs... | 1 | 0 | 0 | 0 | 0 | 0 |
Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits | Consider the problem: given data pair $(\mathbf{x}, \mathbf{y})$ drawn from a
population with $f_*(x) = \mathbf{E}[\mathbf{y} | \mathbf{x} = x]$, specify a
neural network and run gradient flow on the weights over time until reaching
any stationarity. How does $f_t$, the function computed by the neural network
at time... | 1 | 0 | 1 | 1 | 0 | 0 |
On utility maximization without passing by the dual problem | We treat utility maximization from terminal wealth for an agent with utility
function $U:\mathbb{R}\to\mathbb{R}$ who dynamically invests in a
continuous-time financial market and receives a possibly unbounded random
endowment. We prove the existence of an optimal investment without introducing
the associated dual pr... | 0 | 0 | 1 | 0 | 0 | 0 |
Stochastic Generative Hashing | Learning-based binary hashing has become a powerful paradigm for fast search
and retrieval in massive databases. However, due to the requirement of discrete
outputs for the hash functions, learning such functions is known to be very
challenging. In addition, the objective functions adopted by existing hashing
techniq... | 1 | 0 | 0 | 1 | 0 | 0 |
Nonlinear learning and learning advantages in evolutionary games | The idea of incompetence as a learning or adaptation function was introduced
in the context of evolutionary games as a fixed parameter. However, live
organisms usually perform different nonlinear adaptation functions such as a
power law or exponential fitness growth. Here, we examine how the functional
form of the le... | 0 | 0 | 0 | 0 | 1 | 0 |
Information-theoretic Limits for Community Detection in Network Models | We analyze the information-theoretic limits for the recovery of node labels
in several network models. This includes the Stochastic Block Model, the
Exponential Random Graph Model, the Latent Space Model, the Directed
Preferential Attachment Model, and the Directed Small-world Model. For the
Stochastic Block Model, t... | 1 | 0 | 0 | 1 | 0 | 0 |
Proofs of life: molecular-biology reasoning simulates cell behaviors from first principles | We axiomatize the molecular-biology reasoning style, verify compliance of the
standard reference: Ptashne, A Genetic Switch, and present proof-theory-induced
technologies to predict phenotypes and life cycles from genotypes. The key is
to note that `reductionist discipline' entails constructive reasoning, i.e.,
that ... | 0 | 0 | 0 | 0 | 1 | 0 |
Beyond recursion operators | We briefly recall the history of the Nijenhuis torsion of (1,1)-tensors on
manifolds and of the lesser-known Haantjes torsion. We then show how the
Haantjes manifolds of Magri and the symplectic-Haantjes structures of Tempesta
and Tondo generalize the classical approach to integrable systems in the
bi-hamiltonian and... | 0 | 0 | 1 | 0 | 0 | 0 |
On Classical Integrability of the Hydrodynamics of Quantum Integrable Systems | Recently, a hydrodynamic description of local equilibrium dynamics in quantum
integrable systems was discovered. In the diffusionless limit, this is
equivalent to a certain "Bethe-Boltzmann" kinetic equation, which has the form
of an integro-differential conservation law in $(1+1)$D. The purpose of the
present work i... | 0 | 1 | 0 | 0 | 0 | 0 |
Transition to turbulence when the Tollmien-Schlichting and bypass routes coexist | Plane Poiseuille flow, the pressure driven flow between parallel plates,
shows a route to turbulence connected with a linear instability to
Tollmien-Schlichting (TS) waves, and another one, the bypass transition, that
is triggered with finite amplitude perturbation. We use direct numerical
simulations to explore the ... | 0 | 1 | 0 | 0 | 0 | 0 |
Interactive Exploration and Discovery of Scientific Publications with PubVis | With an exponentially growing number of scientific papers published each
year, advanced tools for exploring and discovering publications of interest are
becoming indispensable. To empower users beyond a simple keyword search
provided e.g. by Google Scholar, we present the novel web application PubVis.
Powered by a va... | 1 | 0 | 0 | 0 | 0 | 0 |
Improving phase II oncology trials using best observed RECIST response as an endpoint by modelling continuous tumour measurements | In many phase II trials in solid tumours, patients are assessed using
endpoints based on the Response Evaluation Criteria in Solid Tumours (RECIST)
scale. Often, analyses are based on the response rate. This is the proportion
of patients who have an observed tumour shrinkage above a pre-defined level and
no new tumou... | 0 | 0 | 0 | 1 | 0 | 0 |
Evans-Selberg potential on planar domains | We provide explicit formulas of Evans kernels, Evans-Selberg potentials and
fundamental metrics on potential-theoretically parabolic planar domains.
| 0 | 0 | 1 | 0 | 0 | 0 |
Bridging the Gap Between Computational Photography and Visual Recognition | What is the current state-of-the-art for image restoration and enhancement
applied to degraded images acquired under less than ideal circumstances? Can
the application of such algorithms as a pre-processing step to improve image
interpretability for manual analysis or automatic visual recognition to
classify scene co... | 1 | 0 | 0 | 0 | 0 | 0 |
On some conjectures of Samuels and Feige | Let $\mu_1 \ge \dotsc \ge \mu_n > 0$ and $\mu_1 + \dotsm + \mu_n = 1$. Let
$X_1, \dotsc, X_n$ be independent non-negative random variables with $EX_1 =
\dotsc = EX_n = 1$, and let $Z = \sum_{i=1}^n \mu_i X_i$. Let $M = \max_{1 \le
i \le n} \mu_i = \mu_1$, and let $\delta > 0$ and $T = 1 + \delta$. Both
Samuels and Fe... | 0 | 0 | 1 | 0 | 0 | 0 |
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States | Making the right decision in traffic is a challenging task that is highly
dependent on individual preferences as well as the surrounding environment.
Therefore it is hard to model solely based on expert knowledge. In this work we
use Deep Reinforcement Learning to learn maneuver decisions based on a compact
semantic ... | 1 | 0 | 0 | 1 | 0 | 0 |
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows | We present Sequential Neural Likelihood (SNL), a new method for Bayesian
inference in simulator models, where the likelihood is intractable but
simulating data from the model is possible. SNL trains an autoregressive flow
on simulated data in order to learn a model of the likelihood in the region of
high posterior de... | 0 | 0 | 0 | 1 | 0 | 0 |
Creativity: Generating Diverse Questions using Variational Autoencoders | Generating diverse questions for given images is an important task for
computational education, entertainment and AI assistants. Different from many
conventional prediction techniques is the need for algorithms to generate a
diverse set of plausible questions, which we refer to as "creativity". In this
paper we propo... | 1 | 0 | 0 | 0 | 0 | 0 |
Cooling dynamics of a single trapped ion via elastic collisions with small-mass atoms | We demonstrated sympathetic cooling of a single ion in a buffer gas of
ultracold atoms with small mass. Efficient collisional cooling was realized by
suppressing collision-induced heating. We attempt to explain the experimental
results with a simple rate equation model and provide a quantitative discussion
of the coo... | 0 | 1 | 0 | 0 | 0 | 0 |
Modulational instability in the full-dispersion Camassa-Holm equation | We determine the stability and instability of a sufficiently small and
periodic traveling wave to long wavelength perturbations, for a nonlinear
dispersive equation which extends a Camassa-Holm equation to include all the
dispersion of water waves and the Whitham equation to include nonlinearities of
medium amplitude... | 0 | 1 | 1 | 0 | 0 | 0 |
Evaluating and Modelling Hanabi-Playing Agents | Agent modelling involves considering how other agents will behave, in order
to influence your own actions. In this paper, we explore the use of agent
modelling in the hidden-information, collaborative card game Hanabi. We
implement a number of rule-based agents, both from the literature and of our
own devising, in ad... | 1 | 0 | 0 | 0 | 0 | 0 |
Rank-related dimension bounds for subspaces of bilinear forms over finite fields | Let q be a power of a prime and let V be a vector space of finite dimension n
over the field of order q. Let Bil(V) denote the set of all bilinear forms
defined on V x V, let Symm(V) denote the subspace of Bil(V) consisting of
symmetric bilinear forms, and Alt(V) denote the subspace of alternating
bilinear forms. Let... | 0 | 0 | 1 | 0 | 0 | 0 |
Multi-objective optimization to explicitly account for model complexity when learning Bayesian Networks | Bayesian Networks have been widely used in the last decades in many fields,
to describe statistical dependencies among random variables. In general,
learning the structure of such models is a problem with considerable
theoretical interest that still poses many challenges. On the one hand, this is
a well-known NP-comp... | 0 | 0 | 0 | 1 | 0 | 0 |
Simultaneous Localization and Layout Model Selection in Manhattan Worlds | In this paper, we will demonstrate how Manhattan structure can be exploited
to transform the Simultaneous Localization and Mapping (SLAM) problem, which is
typically solved by a nonlinear optimization over feature positions, into a
model selection problem solved by a convex optimization over higher order
layout struc... | 1 | 0 | 0 | 0 | 0 | 0 |
Robust method for finding sparse solutions to linear inverse problems using an L2 regularization | We analyzed the performance of a biologically inspired algorithm called the
Corrected Projections Algorithm (CPA) when a sparseness constraint is required
to unambiguously reconstruct an observed signal using atoms from an
overcomplete dictionary. By changing the geometry of the estimation problem,
CPA gives an analy... | 1 | 0 | 0 | 1 | 0 | 0 |
Humanoid Robot-Application and Influence | Application of humanoid robots has been common in the field of healthcare and
education. It has been recurrently used to improve social behavior and mollify
distress level among children with autism, cancer and cerebral palsy. This
article discusses the same from a human factors perspective. It shows how
people of di... | 1 | 0 | 0 | 0 | 0 | 0 |
Onsager's Conjecture for the Incompressible Euler Equations in Bounded Domains | The goal of this note is to show that, also in a bounded domain $\Omega
\subset \mathbb{R}^n$, with $\partial \Omega\in C^2$, any weak solution,
$(u(x,t),p(x,t))$, of the Euler equations of ideal incompressible fluid in
$\Omega\times (0,T) \subset \mathbb{R}^n\times\mathbb{R}_t$, with the
impermeability boundary cond... | 0 | 1 | 1 | 0 | 0 | 0 |
Fuzzy logic based approaches for gene regulatory network inference | The rapid advancement in high-throughput techniques has fueled the generation
of large volume of biological data rapidly with low cost. Some of these
techniques are microarray and next generation sequencing which provides genome
level insight of living cells. As a result, the size of most of the biological
databases,... | 0 | 0 | 0 | 0 | 1 | 0 |
Instrumentation for nuclear magnetic resonance in zero and ultralow magnetic field | We review instrumentation for nuclear magnetic resonance (NMR) in zero and
ultra-low magnetic field (ZULF, below 0.1 $\mu$T) where detection is based on a
low-cost, non-cryogenic, spin-exchange relaxation free (SERF) $^{87}$Rb atomic
magnetometer. The typical sensitivity is 20-30 fT/Hz$^{1/2}$ for signal
frequencies ... | 0 | 1 | 0 | 0 | 0 | 0 |
Countable dense homogeneity and the Cantor set | It is shown that CH implies the existence of a compact Hausdorff space that
is countable dense homogeneous, crowded and does not contain topological copies
of the Cantor set. This contrasts with a previous result by the author which
says that for any crowded Hausdorff space $X$ of countable $\pi$-weight, if
${}^\omeg... | 0 | 0 | 1 | 0 | 0 | 0 |
Dimension Estimation Using Random Connection Models | Information about intrinsic dimension is crucial to perform dimensionality
reduction, compress information, design efficient algorithms, and do
statistical adaptation. In this paper we propose an estimator for the intrinsic
dimension of a data set. The estimator is based on binary neighbourhood
information about the ... | 0 | 0 | 1 | 1 | 0 | 0 |
Optimal projection of observations in a Bayesian setting | Optimal dimensionality reduction methods are proposed for the Bayesian
inference of a Gaussian linear model with additive noise in presence of
overabundant data. Three different optimal projections of the observations are
proposed based on information theory: the projection that minimizes the
Kullback-Leibler diverge... | 0 | 0 | 1 | 1 | 0 | 0 |
Notes on the Multiplicative Ergodic Theorem | The Oseledets Multiplicative Ergodic theorem is a basic result with numerous
applications throughout dynamical systems. These notes provide an introduction
to this theorem, as well as subsequent generalizations. They are based on
lectures at summer schools in Brazil, France, and Russia.
| 0 | 0 | 1 | 0 | 0 | 0 |
Targeted Learning with Daily EHR Data | Electronic health records (EHR) data provide a cost and time-effective
opportunity to conduct cohort studies of the effects of multiple time-point
interventions in the diverse patient population found in real-world clinical
settings. Because the computational cost of analyzing EHR data at daily (or
more granular) sca... | 0 | 0 | 0 | 1 | 0 | 0 |
Stripe-Based Fragility Analysis of Concrete Bridge Classes Using Machine Learning Techniques | A framework for the generation of bridge-specific fragility utilizing the
capabilities of machine learning and stripe-based approach is presented in this
paper. The proposed methodology using random forests helps to generate or
update fragility curves for a new set of input parameters with less
computational effort a... | 0 | 0 | 0 | 1 | 0 | 0 |
Accountability of AI Under the Law: The Role of Explanation | The ubiquity of systems using artificial intelligence or "AI" has brought
increasing attention to how those systems should be regulated. The choice of
how to regulate AI systems will require care. AI systems have the potential to
synthesize large amounts of data, allowing for greater levels of
personalization and pre... | 1 | 0 | 0 | 1 | 0 | 0 |
Frequency-oriented sub-sampling by photonic Fourier transform and I/Q demodulation | Sub-sampling can acquire directly a passband within a broad radio frequency
(RF) range, avoiding down-conversion and low-phase-noise tunable local
oscillation (LO). However, sub-sampling suffers from band folding and
self-image interference. In this paper we propose a frequency-oriented
sub-sampling to solve the two ... | 0 | 1 | 0 | 0 | 0 | 0 |
A moment map picture of relative balanced metrics on extremal Kähler manifolds | We give a moment map interpretation of some relatively balanced metrics. As
an application, we extend a result of S. K. Donaldson on constant scalar
curvature Kähler metrics to the case of extremal metrics. Namely, we show
that a given extremal metric is the limit of some specific relatively balanced
metrics. As a co... | 0 | 0 | 1 | 0 | 0 | 0 |
Traffic models with adversarial vehicle behaviour | We examine the impact of adversarial actions on vehicles in traffic. Current
advances in assisted/autonomous driving technologies are supposed to reduce the
number of casualties, but this seems to be desired despite the recently proved
insecurity of in-vehicle communication buses or components. Fortunately to some
ex... | 1 | 0 | 0 | 0 | 0 | 0 |
Robust Cooperative Manipulation without Force/Torque Measurements: Control Design and Experiments | This paper presents two novel control methodologies for the cooperative
manipulation of an object by N robotic agents. Firstly, we design an adaptive
control protocol which employs quaternion feedback for the object orientation
to avoid potential representation singularities. Secondly, we propose a control
protocol t... | 1 | 0 | 0 | 0 | 0 | 0 |
Conditionally conjugate mean-field variational Bayes for logistic models | Variational Bayes (VB) is a common strategy for approximate Bayesian
inference, but simple methods are only available for specific classes of models
including, in particular, representations having conditionally conjugate
constructions within an exponential family. Models with logit components are an
apparently notab... | 0 | 0 | 1 | 1 | 0 | 0 |
A $\frac{3}{2}$-Approximation Algorithm for Tree Augmentation via Chvátal-Gomory Cuts | The weighted tree augmentation problem (WTAP) is a fundamental network design
problem. We are given an undirected tree $G = (V,E)$, an additional set of
edges $L$ called links and a cost vector $c \in \mathbb{R}^L_{\geq 1}$. The
goal is to choose a minimum cost subset $S \subseteq L$ such that $G = (V, E
\cup S)$ is ... | 1 | 0 | 0 | 0 | 0 | 0 |
On Identifying Disaster-Related Tweets: Matching-based or Learning-based? | Social media such as tweets are emerging as platforms contributing to
situational awareness during disasters. Information shared on Twitter by both
affected population (e.g., requesting assistance, warning) and those outside
the impact zone (e.g., providing assistance) would help first responders,
decision makers, an... | 1 | 0 | 0 | 0 | 0 | 0 |
Self-Stabilizing Disconnected Components Detection and Rooted Shortest-Path Tree Maintenance in Polynomial Steps | We deal with the problem of maintaining a shortest-path tree rooted at some
process r in a network that may be disconnected after topological changes. The
goal is then to maintain a shortest-path tree rooted at r in its connected
component, V\_r, and make all processes of other components detecting that r is
not part... | 1 | 0 | 0 | 0 | 0 | 0 |
Optimizing wearable assistive devices with neuromuscular models and optimal control | The coupling of human movement dynamics with the function and design of
wearable assistive devices is vital to better understand the interaction
between the two. Advanced neuromuscular models and optimal control formulations
provide the possibility to study and improve this interaction. In addition,
optimal control c... | 1 | 0 | 0 | 0 | 0 | 0 |
Preferential placement for community structure formation | Various models have been recently proposed to reflect and predict different
properties of complex networks. However, the community structure, which is one
of the most important properties, is not well studied and modeled. In this
paper, we suggest a principle called "preferential placement", which allows to
model a r... | 1 | 1 | 0 | 0 | 0 | 0 |
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization | In this paper, we consider the problem of sequentially optimizing a black-box
function $f$ based on noisy samples and bandit feedback. We assume that $f$ is
smooth in the sense of having a bounded norm in some reproducing kernel Hilbert
space (RKHS), yielding a commonly-considered non-Bayesian form of Gaussian
proces... | 1 | 0 | 0 | 1 | 0 | 0 |
Hirota bilinear equations for Painlevé transcendents | We present some observations on the tau-function for the fourth Painlevé
equation. By considering a Hirota bilinear equation of order four for this
tau-function, we describe the general form of the Taylor expansion around an
arbitrary movable zero. The corresponding Taylor series for the tau-functions
of the first an... | 0 | 1 | 1 | 0 | 0 | 0 |
Gradient-based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data | Representational Similarity Analysis (RSA) aims to explore similarities
between neural activities of different stimuli. Classical RSA techniques employ
the inverse of the covariance matrix to explore a linear model between the
neural activities and task events. However, calculating the inverse of a
large-scale covari... | 0 | 0 | 0 | 1 | 1 | 0 |
Diffeomorphic random sampling using optimal information transport | In this article we explore an algorithm for diffeomorphic random sampling of
nonuniform probability distributions on Riemannian manifolds. The algorithm is
based on optimal information transport (OIT)---an analogue of optimal mass
transport (OMT). Our framework uses the deep geometric connections between the
Fisher-R... | 0 | 0 | 1 | 1 | 0 | 0 |
On approximations by trigonometric polynomials of classes of functions defined by moduli of smoothness | In this paper, we give a characterization of Nikol'ski\u{\i}-Besov type
classes of functions, given by integral representations of moduli of
smoothness, in terms of series over the moduli of smoothness. Also, necessary
and sufficient conditions in terms of monotone or lacunary Fourier coefficients
for a function to b... | 0 | 0 | 1 | 0 | 0 | 0 |
Topologically protected Dirac plasmons in graphene | Topological optical states exhibit unique immunity to defects and the ability
to propagate without losses rendering them ideal for photonic applications.A
powerful class of such states is based on time-reversal symmetry breaking of
the optical response.However, existing proposals either involve sophisticated
and bulk... | 0 | 1 | 0 | 0 | 0 | 0 |
The K-Nearest Neighbour UCB algorithm for multi-armed bandits with covariates | In this paper we propose and explore the k-Nearest Neighbour UCB algorithm
for multi-armed bandits with covariates. We focus on a setting where the
covariates are supported on a metric space of low intrinsic dimension, such as
a manifold embedded within a high dimensional ambient feature space. The
algorithm is conce... | 0 | 0 | 0 | 1 | 0 | 0 |
Proportional Mean Residual Life Model with Censored Survival Data under Case-cohort Design | Proportional mean residual life model is studied for analysing survival data
from the case-cohort design. To simultaneously estimate the regression
parameters and the baseline mean residual life function, weighted estimating
equations based on an inverse selection probability are proposed. The resulting
regression co... | 0 | 0 | 1 | 1 | 0 | 0 |
Shape differentiation of a steady-state reaction-diffusion problem arising in Chemical Engineering: the case of non-smooth kinetic with dead core | In this paper we consider an extension of the results in shape
differentiation of semilinear equations with smooth nonlinearity presented in
J.I. Díaz and D. Gómez-Castro: An Application of Shape Differentiation to
the Effectiveness of a Steady State Reaction-Diffusion Problem Arising in
Chemical Engineering. Electro... | 0 | 0 | 1 | 0 | 0 | 0 |
Analytic evaluation of Coulomb integrals for one, two and three-electron distance operators, $R_{C1}^{-n}R_{D1}^{-m}$, $R_{C1}^{-n}r_{12}^{-m}$ and $r_{12}^{-n}r_{13}^{-m}$ with $n, m=0,1,2$ | The state of the art for integral evaluation is that analytical solutions to
integrals are far more useful than numerical solutions. We evaluate certain
integrals analytically that are necessary in some approaches in quantum
chemistry. In the title, where R stands for nucleus-electron and r for
electron-electron dist... | 0 | 1 | 0 | 0 | 0 | 0 |
Herschel-PACS photometry of faint stars | Our aims are to determine flux densities and their photometric accuracy for a
set of seventeen stars that range in flux from intermediately bright (<2.5 Jy)
to faint (>5 mJy) in the far-infrared (FIR). We also aim to derive
signal-to-noise dependence with flux and time, and compare the results with
predictions from t... | 0 | 1 | 0 | 0 | 0 | 0 |
Role of zero synapses in unsupervised feature learning | Synapses in real neural circuits can take discrete values, including zero
(silent or potential) synapses. The computational role of zero synapses in
unsupervised feature learning of unlabeled noisy data is still unclear, thus it
is important to understand how the sparseness of synaptic activity is shaped
during learn... | 1 | 1 | 0 | 0 | 0 | 0 |
On the Pervasiveness of Difference-Convexity in Optimization and Statistics | With the increasing interest in applying the methodology of
difference-of-convex (dc) optimization to diverse problems in engineering and
statistics, this paper establishes the dc property of many well-known functions
not previously known to be of this class. Motivated by a quadratic programming
based recourse functi... | 0 | 0 | 1 | 0 | 0 | 0 |
Stochastic Dynamic Optimal Power Flow in Distribution Network with Distributed Renewable Energy and Battery Energy Storage | The penetration of distributed renewable energy (DRE) greatly raises the risk
of distribution network operation such as peak shaving and voltage stability.
Battery energy storage (BES) has been widely accepted as the most potential
application to cope with the challenge of high penetration of DRE. To cope with
the un... | 0 | 0 | 1 | 0 | 0 | 0 |
Achievable Rate Region of the Zero-Forcing Precoder in a 2 X 2 MU-MISO Broadcast VLC Channel with Per-LED Peak Power Constraint and Dimming Control | In this paper, we consider the 2 X 2 multi-user multiple-input-single-output
(MU-MISO) broadcast visible light communication (VLC) channel with two light
emitting diodes (LEDs) at the transmitter and a single photo diode (PD) at each
of the two users. We propose an achievable rate region of the Zero-Forcing (ZF)
prec... | 1 | 0 | 1 | 0 | 0 | 0 |
Autonomous Electric Race Car Design | Autonomous driving and electric vehicles are nowadays very active research
and development areas. In this paper we present the conversion of a standard
Kyburz eRod into an autonomous vehicle that can be operated in challenging
environments such as Swiss mountain passes. The overall hardware and software
architectures... | 1 | 0 | 0 | 0 | 0 | 0 |
Temporal Stable Community in Time-Varying Networks | Identifying community structure of a complex network provides insight to the
interdependence between the network topology and emergent collective behaviors
of networks, while detecting such invariant communities in a time-varying
network is more challenging. In this paper, we define the temporal stable
community and ... | 0 | 0 | 0 | 0 | 1 | 0 |
The shape of a rapidly rotating polytrope with index unity | We show that the solutions obtained in the paper `An exact solution for
arbitrarily rotating gaseous polytropes with index unity' by Kong, Zhang, and
Schubert represent only approximate solutions of the free-boundary
Euler-Poisson system of equations describing uniformly rotating,
self-gravitating polytropes with ind... | 0 | 1 | 0 | 0 | 0 | 0 |
Measurement of the Planck constant at the National Institute of Standards and Technology from 2015 to 2017 | Researchers at the National Institute of Standards and Technology(NIST) have
measured the value of the Planck constant to be $h =6.626\,069\,934(89)\times
10^{-34}\,$J$\,$s (relative standard uncertainty $13\times 10^{-9}$). The
result is based on over 10$\,$000 weighings of masses with nominal values
ranging from 0.... | 0 | 1 | 0 | 0 | 0 | 0 |
Event Stream-Based Process Discovery using Abstract Representations | The aim of process discovery, originating from the area of process mining, is
to discover a process model based on business process execution data. A
majority of process discovery techniques relies on an event log as an input. An
event log is a static source of historical data capturing the execution of a
business pr... | 1 | 0 | 0 | 1 | 0 | 0 |
On $C$-bases, partition pairs and filtrations for induced or restricted Specht modules | We obtain alternative explicit Specht filtrations for the induced and the
restricted Specht modules in the Hecke algebra of the symmetric group (defined
over the ring $A=\mathbb Z[q^{1/2},q^{-1/2}]$ where $q$ is an indeterminate)
using $C$-bases for these modules. Moreover, we provide a link between a
certain $C$-bas... | 0 | 0 | 1 | 0 | 0 | 0 |
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