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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Transductive Zero-Shot Learning with Adaptive Structural Embedding | Zero-shot learning (ZSL) endows the computer vision system with the
inferential capability to recognize instances of a new category that has never
seen before. Two fundamental challenges in it are visual-semantic embedding and
domain adaptation in cross-modality learning and unseen class prediction steps,
respectivel... | 1 | 0 | 0 | 0 | 0 | 0 |
A geometric attractor mechanism for self-organization of entorhinal grid modules | Grid cells in the medial entorhinal cortex (mEC) respond when an animal
occupies a periodic lattice of "grid fields" in the environment. The grids are
organized in modules with spatial periods clustered around discrete values
separated by constant ratios reported in the range 1.3-1.8. We propose a
mechanism for dynam... | 0 | 0 | 0 | 0 | 1 | 0 |
Attacking Strategies and Temporal Analysis Involving Facebook Discussion Groups | Online social network (OSN) discussion groups are exerting significant
effects on political dialogue. In the absence of access control mechanisms, any
user can contribute to any OSN thread. Individuals can exploit this
characteristic to execute targeted attacks, which increases the potential for
subsequent malicious ... | 1 | 0 | 0 | 0 | 0 | 0 |
Perception-based energy functions in seam-cutting | Image stitching is challenging in consumer-level photography, due to
alignment difficulties in unconstrained shooting environment. Recent studies
show that seam-cutting approaches can effectively relieve artifacts generated
by local misalignment. Normally, seam-cutting is described in terms of energy
minimization, ho... | 1 | 0 | 0 | 0 | 0 | 0 |
Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo | Probabilistic modeling provides the capability to represent and manipulate
uncertainty in data, models, predictions and decisions. We are concerned with
the problem of learning probabilistic models of dynamical systems from measured
data. Specifically, we consider learning of probabilistic nonlinear state-space
model... | 1 | 0 | 0 | 1 | 0 | 0 |
Deep Projective 3D Semantic Segmentation | Semantic segmentation of 3D point clouds is a challenging problem with
numerous real-world applications. While deep learning has revolutionized the
field of image semantic segmentation, its impact on point cloud data has been
limited so far. Recent attempts, based on 3D deep learning approaches
(3D-CNNs), have achiev... | 1 | 0 | 0 | 0 | 0 | 0 |
Dynamic Pricing with Finitely Many Unknown Valuations | Motivated by posted price auctions where buyers are grouped in an unknown
number of latent types characterized by their private values for the good on
sale, we investigate revenue maximization in stochastic dynamic pricing when
the distribution of buyers' private values is supported on an unknown set of
points in [0,... | 0 | 0 | 0 | 1 | 0 | 0 |
Haar systems, KMS states on von Neumann algebras and $C^*$-algebras on dynamically defined groupoids and Noncommutative Integration | We analyse certain Haar systems associated to groupoids obtained by certain
natural equivalence relations of dynamical nature on sets like
$\{1,2,...,d\}^\mathbb{Z}$, $\{1,2,...,d\}^\mathbb{N}$, $S^1\times S^1$, or
$(S^1)^\mathbb{N}$, where $S^1$ is the unitary circle. We also describe
properties of transverse functi... | 0 | 0 | 1 | 0 | 0 | 0 |
Restoring a smooth function from its noisy integrals | Numerical (and experimental) data analysis often requires the restoration of
a smooth function from a set of sampled integrals over finite bins. We present
the bin hierarchy method that efficiently computes the maximally smooth
function from the sampled integrals using essentially all the information
contained in the... | 0 | 1 | 0 | 1 | 0 | 0 |
Adversarial Active Learning for Deep Networks: a Margin Based Approach | We propose a new active learning strategy designed for deep neural networks.
The goal is to minimize the number of data annotation queried from an oracle
during training. Previous active learning strategies scalable for deep networks
were mostly based on uncertain sample selection. In this work, we focus on
examples ... | 0 | 0 | 0 | 1 | 0 | 0 |
Improving SIEM capabilities through an enhanced probe for encrypted Skype traffic detection | Nowadays, the Security Information and Event Management (SIEM) systems take
on great relevance in handling security issues for critical infrastructures as
Internet Service Providers. Basically, a SIEM has two main functions: i) the
collection and the aggregation of log data and security information from
disparate net... | 1 | 0 | 0 | 0 | 0 | 0 |
Escaping Saddle Points with Adaptive Gradient Methods | Adaptive methods such as Adam and RMSProp are widely used in deep learning
but are not well understood. In this paper, we seek a crisp, clean and precise
characterization of their behavior in nonconvex settings. To this end, we first
provide a novel view of adaptive methods as preconditioned SGD, where the
preconditi... | 1 | 0 | 0 | 1 | 0 | 0 |
The Effect of Temperature on Cu-K-In-Se Thin Films | Films of Cu-K-In-Se were co-evaporated at varied K/(K+Cu) compositions and
substrate temperatures (with constant (K+Cu)/In ~ 0.85). Increased Na
composition on the substrate's surface and decreased growth temperature were
both found to favor Cu1-xKxInSe2 (CKIS) alloy formation, relative to
mixed-phase CuInSe2 + KInSe... | 0 | 1 | 0 | 0 | 0 | 0 |
Simulations of the Solar System's Early Dynamical Evolution with a Self-Gravitating Planetesimal Disk | Over the course of last decade, the Nice model has dramatically changed our
view of the solar system's formation and early evolution. Within the context of
this model, a transient period of planet-planet scattering is triggered by
gravitational interactions between the giant planets and a massive primordial
planetesi... | 0 | 1 | 0 | 0 | 0 | 0 |
On weak Fraisse limits | Using the natural action of $S_\infty$ we show that a countable hereditary
class $\cC$ of finitely generated structures has the joint embedding property
(JEP) and the weak amalgamation property (WAP) if and only if there is a
structure $M$ whose isomorphism type is comeager in the space of all countable,
infinitely g... | 0 | 0 | 1 | 0 | 0 | 0 |
Promoting Saving for College Through Data Science | The cost of attending college has been steadily rising and in 10 years is
estimated to reach $140,000 for a 4-year public university. Recent surveys
estimate just over half of US families are saving for college. State-operated
529 college savings plans are an effective way for families to plan and save
for future col... | 1 | 0 | 0 | 0 | 0 | 0 |
Rotation Blurring: Use of Artificial Blurring to Reduce Cybersickness in Virtual Reality First Person Shooters | Users of Virtual Reality (VR) systems often experience vection, the
perception of self-motion in the absence of any physical movement. While
vection helps to improve presence in VR, it often leads to a form of motion
sickness called cybersickness. Cybersickness is a major deterrent to large
scale adoption of VR.
Prio... | 1 | 0 | 0 | 0 | 0 | 0 |
Comparative Benchmarking of Causal Discovery Techniques | In this paper we present a comprehensive view of prominent causal discovery
algorithms, categorized into two main categories (1) assuming acyclic and no
latent variables, and (2) allowing both cycles and latent variables, along with
experimental results comparing them from three perspectives: (a) structural
accuracy,... | 1 | 0 | 0 | 1 | 0 | 0 |
Sensitivity of Love and quasi-Rayleigh waves to model parameters | We examine the sensitivity of the Love and the quasi-Rayleigh waves to model
parameters. Both waves are guided waves that propagate in the same model of an
elastic layer above an elastic halfspace. We study their dispersion curves
without any simplifying assumptions, beyond the standard approach of elasticity
theory ... | 0 | 1 | 0 | 0 | 0 | 0 |
The image size of iterated rational maps over finite fields | Let $\varphi:\mathbb{F}_q\to\mathbb{F}_q$ be a rational map on a fixed finite
field. We give explicit asymptotic formulas for the size of image sets
$\varphi^n(\mathbb{F}_q)$ as a function of $n$. This is done by using
properties of the Galois groups of iterated maps, whose connection to the
question of the size of i... | 0 | 0 | 1 | 0 | 0 | 0 |
Noncommutative modular symbols and Eisenstein series | We form real-analytic Eisenstein series twisted by Manin's noncommutative
modular symbols. After developing their basic properties, these series are
shown to have meromorphic continuations to the entire complex plane and satisfy
functional equations in some cases. This theory neatly contains and generalizes
earlier w... | 0 | 0 | 1 | 0 | 0 | 0 |
Some rigidity characterizations on critical metrics for quadratic curvature functionals | We study closed $n$-dimensional manifolds of which the metrics are critical
for quadratic curvature functionals involving the Ricci curvature, the scalar
curvature and the Riemannian curvature tensor on the space of Riemannian
metrics with unit volume. Under some additional integral conditions, we
classify such manif... | 0 | 0 | 1 | 0 | 0 | 0 |
Profinite completions of Burnside-type quotients of surface groups | Using quantum representations of mapping class groups we prove that profinite
completions of Burnside-type surface group quotients are not virtually
prosolvable, in general. Further, we construct infinitely many finite simple
characteristic quotients of surface groups.
| 0 | 0 | 1 | 0 | 0 | 0 |
Learning Infinite RBMs with Frank-Wolfe | In this work, we propose an infinite restricted Boltzmann machine~(RBM),
whose maximum likelihood estimation~(MLE) corresponds to a constrained convex
optimization. We consider the Frank-Wolfe algorithm to solve the program, which
provides a sparse solution that can be interpreted as inserting a hidden unit
at each i... | 1 | 0 | 0 | 1 | 0 | 0 |
New low-mass eclipsing binary systems in Praesepe discovered by K2 | We present the discovery of four low-mass ($M<0.6$ $M_\odot$) eclipsing
binary (EB) systems in the sub-Gyr old Praesepe open cluster using Kepler/K2
time-series photometry and Keck/HIRES spectroscopy. We present a new Gaussian
process eclipsing binary model, GP-EBOP, as well as a method of simultaneously
determining ... | 0 | 1 | 0 | 0 | 0 | 0 |
The impact of the halide cage on the electronic properties of fully inorganic caesium lead halide perovskites | Perovskite solar cells with record power conversion efficiency are fabricated
by alloying both hybrid and fully inorganic compounds. While the basic
electronic properties of the hybrid perovskites are now well understood, key
electronic parameters for solar cell performance, such as the exciton binding
energy of full... | 0 | 1 | 0 | 0 | 0 | 0 |
Discovery of Giant Radio Galaxies from NVSS: Radio & Infrared Properties | Giant radio galaxies (GRGs) are one of the largest astrophysical sources in
the Universe with an overall projected linear size of ~0.7 Mpc or more. Last
six decades of radio astronomy research has led to the detection of thousands
of radio galaxies. But only ~ 300 of them can be classified as GRGs. The
reasons behind... | 0 | 1 | 0 | 0 | 0 | 0 |
SGD: General Analysis and Improved Rates | We propose a general yet simple theorem describing the convergence of SGD
under the arbitrary sampling paradigm. Our theorem describes the convergence of
an infinite array of variants of SGD, each of which is associated with a
specific probability law governing the data selection rule used to form
mini-batches. This ... | 1 | 0 | 0 | 1 | 0 | 0 |
Nonconvex One-bit Single-label Multi-label Learning | We study an extreme scenario in multi-label learning where each training
instance is endowed with a single one-bit label out of multiple labels. We
formulate this problem as a non-trivial special case of one-bit rank-one matrix
sensing and develop an efficient non-convex algorithm based on alternating
power iteration... | 1 | 0 | 0 | 1 | 0 | 0 |
Two Categories of Indoor Interactive Dynamics of a Large-scale Human Population in a WiFi covered university campus | To explore large-scale population indoor interactions, we analyze 18,715
users' WiFi access logs recorded in a Chinese university campus during 3
months, and define two categories of human interactions, the event interaction
(EI) and the temporal interaction (TI). The EI helps construct a transmission
graph, and the ... | 1 | 1 | 0 | 0 | 0 | 0 |
Robust estimators for generalized linear models with a dispersion parameter | Highly robust and efficient estimators for the generalized linear model with
a dispersion parameter are proposed. The estimators are based on three steps.
In the first step the maximum rank correlation estimator is used to
consistently estimate the slopes up to a scale factor. In the second step, the
scale factor, th... | 0 | 0 | 0 | 1 | 0 | 0 |
Abstracting Event-Driven Systems with Lifestate Rules | We present lifestate rules--an approach for abstracting event-driven object
protocols. Developing applications against event-driven software frameworks is
notoriously difficult. One reason why is that to create functioning
applications, developers must know about and understand the complex protocols
that abstract the... | 1 | 0 | 0 | 0 | 0 | 0 |
Boltzmann Encoded Adversarial Machines | Restricted Boltzmann Machines (RBMs) are a class of generative neural network
that are typically trained to maximize a log-likelihood objective function. We
argue that likelihood-based training strategies may fail because the objective
does not sufficiently penalize models that place a high probability in regions
whe... | 0 | 0 | 0 | 1 | 0 | 0 |
A Non-Gaussian, Nonparametric Structure for Gene-Gene and Gene-Environment Interactions in Case-Control Studies Based on Hierarchies of Dirichlet Processes | It is becoming increasingly clear that complex interactions among genes and
environmental factors play crucial roles in triggering complex diseases. Thus,
understanding such interactions is vital, which is possible only through
statistical models that adequately account for such intricate, albeit unknown,
dependence ... | 0 | 0 | 0 | 1 | 0 | 0 |
An Efficient Bayesian Robust Principal Component Regression | Principal component regression is a linear regression model with principal
components as regressors. This type of modelling is particularly useful for
prediction in settings with high-dimensional covariates. Surprisingly, the
existing literature treating of Bayesian approaches is relatively sparse. In
this paper, we ... | 0 | 0 | 0 | 1 | 0 | 0 |
Bayesian estimation from few samples: community detection and related problems | We propose an efficient meta-algorithm for Bayesian estimation problems that
is based on low-degree polynomials, semidefinite programming, and tensor
decomposition. The algorithm is inspired by recent lower bound constructions
for sum-of-squares and related to the method of moments. Our focus is on sample
complexity ... | 1 | 0 | 0 | 1 | 0 | 0 |
X-ray Transform and Boundary Rigidity for Asymptotically Hyperbolic Manifolds | We consider the boundary rigidity problem for asymptotically hyperbolic
manifolds. We show injectivity of the X-ray transform in several cases and
consider the non-linear inverse problem which consists of recovering a metric
from boundary measurements for the geodesic flow.
| 0 | 0 | 1 | 0 | 0 | 0 |
Pinning of longitudinal phonons in holographic spontaneous helices | We consider the spontaneous breaking of translational symmetry and identify
the associated Goldstone mode -- a longitudinal phonon -- in a holographic
model with Bianchi VII helical symmetry. For the first time in holography, we
observe the pinning of this mode after introducing a source for explicit
breaking compati... | 0 | 1 | 0 | 0 | 0 | 0 |
An Extension of the Method of Brackets. Part 1 | The method of brackets is an efficient method for the evaluation of a large
class of definite integrals on the half-line. It is based on a small collection
of rules, some of which are heuristic. The extension discussed here is based on
the concepts of null and divergent series. These are formal representations of
fun... | 0 | 0 | 1 | 0 | 0 | 0 |
optimParallel: an R Package Providing Parallel Versions of the Gradient-Based Optimization Methods of optim() | The R package optimParallel provides a parallel version of the gradient-based
optimization methods of optim(). The main function of the package is
optimParallel(), which has the same usage and output as optim(). Using
optimParallel() can significantly reduce optimization times. We introduce the R
package and illustra... | 0 | 0 | 0 | 1 | 0 | 0 |
The barocaloric effect: A Spin-off of the Discovery of High-Temperature Superconductivity | Some key results obtained in joint research projects with Alex Müller are
summarized, concentrating on the invention of the barocaloric effect and its
application for cooling as well as on important findings in the field of
high-temperature superconductivity resulting from neutron scattering
experiments.
| 0 | 1 | 0 | 0 | 0 | 0 |
Spontaneous currents in superconducting systems with strong spin-orbit coupling | We show that Rashba spin-orbit coupling at the interface between a
superconductor and a ferromagnet should produce a spontaneous current in the
atomic thickness region near the interface. This current is counter-balanced by
the superconducting screening current flowing in the region of the width of the
London penetra... | 0 | 1 | 0 | 0 | 0 | 0 |
Catching Loosely Synchronized Behavior in Face of Camouflage | Fraud has severely detrimental impacts on the business of social networks and
other online applications. A user can become a fake celebrity by purchasing
"zombie followers" on Twitter. A merchant can boost his reputation through fake
reviews on Amazon. This phenomenon also conspicuously exists on Facebook, Yelp
and T... | 1 | 0 | 0 | 0 | 0 | 0 |
Three-dimensional localized-delocalized Anderson transition in the time domain | Systems which can spontaneously reveal periodic evolution are dubbed time
crystals. This is in analogy with space crystals that display periodic behavior
in configuration space. While space crystals are modelled with the help of
space periodic potentials, crystalline phenomena in time can be modelled by
periodically ... | 0 | 1 | 0 | 0 | 0 | 0 |
Socio-economic constraints to maximum human lifespan | The analysis of the demographic transition of the past century and a half,
using both empirical data and mathematical models, has rendered a wealth of
well-established facts, including the dramatic increases in life expectancy.
Despite these insights, such analyses have also occasionally triggered debates
which spill... | 0 | 0 | 0 | 1 | 1 | 0 |
SD-CPS: Taming the Challenges of Cyber-Physical Systems with a Software-Defined Approach | Cyber-Physical Systems (CPS) revolutionize various application domains with
integration and interoperability of networking, computing systems, and
mechanical devices. Due to its scale and variety, CPS faces a number of
challenges and opens up a few research questions in terms of management,
fault-tolerance, and scala... | 1 | 0 | 0 | 0 | 0 | 0 |
Dual Ore's theorem on distributive intervals of finite groups | This paper gives a self-contained group-theoretic proof of a dual version of
a theorem of Ore on distributive intervals of finite groups. We deduce a bridge
between combinatorics and representations in finite group theory.
| 0 | 0 | 1 | 0 | 0 | 0 |
A construction of trivial Beltrami coefficients | A measurable function $\mu$ on the unit disk $\mathbb{D}$ of the complex
plane with $\|\mu\|_\infty<1$ is sometimes called a Beltrami coefficient. We
say that $\mu$ is trivial if it is the complex dilatation $f_{\bar z}/f_z$ of a
quasiconformal automorphism $f$ of $\mathbb{D}$ satisfying the trivial boundary
conditio... | 0 | 0 | 1 | 0 | 0 | 0 |
A GNS construction of three-dimensional abelian Dijkgraaf-Witten theories | We give a detailed account of the so-called "universal construction" that
aims to extend invariants of closed manifolds, possibly with additional
structure, to topological field theories and show that it amounts to a
generalization of the GNS construction. We apply this construction to an
invariant defined in terms o... | 0 | 0 | 1 | 0 | 0 | 0 |
Long-path formation in a deformed microdisk laser | An asymmetric resonant cavity can be used to form a path that is much longer
than the cavity size. We demonstrate this capability for a deformed microdisk
equipped with two linear waveguides, by constructing a multiply reflected
periodic orbit that is confined by total internal reflection within the
deformed microdis... | 0 | 1 | 0 | 0 | 0 | 0 |
Spitzer Observations of Large Amplitude Variables in the LMC and IC 1613 | The 3.6 and 4.5 micron characteristics of AGB variables in the LMC and IC1613
are discussed. For C-rich Mira variables there is a very clear
period-luminosity-colour relation, where the [3.6]-[4.5] colour is associated
with the amount of circumstellar material and correlated with the pulsation
amplitude. The [4.5] pe... | 0 | 1 | 0 | 0 | 0 | 0 |
Synergistic Team Composition | Effective teams are crucial for organisations, especially in environments
that require teams to be constantly created and dismantled, such as software
development, scientific experiments, crowd-sourcing, or the classroom. Key
factors influencing team performance are competences and personality of team
members. Hence,... | 1 | 0 | 0 | 0 | 0 | 0 |
The inverse hull of 0-left cancellative semigroups | Given a semigroup S with zero, which is left-cancellative in the sense that
st=sr \neq 0 implies that t=r, we construct an inverse semigroup called the
inverse hull of S, denoted H(S). When S admits least common multiples, in a
precise sense defined below, we study the idempotent semilattice of H(S), with
a focus on ... | 0 | 0 | 1 | 0 | 0 | 0 |
The Hadamard Determinant Inequality - Extensions to Operators on a Hilbert Space | A generalization of classical determinant inequalities like Hadamard's
inequality and Fischer's inequality is studied. For a version of the
inequalities originally proved by Arveson for positive operators in von Neumann
algebras with a tracial state, we give a different proof. We also improve and
generalize to the se... | 0 | 0 | 1 | 0 | 0 | 0 |
Experimental results : Reinforcement Learning of POMDPs using Spectral Methods | We propose a new reinforcement learning algorithm for partially observable
Markov decision processes (POMDP) based on spectral decomposition methods.
While spectral methods have been previously employed for consistent learning of
(passive) latent variable models such as hidden Markov models, POMDPs are more
challengi... | 1 | 0 | 0 | 1 | 0 | 0 |
Discreteness of silting objects and t-structures in triangulated categories | We introduce the notion of ST-pairs of triangulated subcategories, a
prototypical example of which is the pair of the bound homotopy category and
the bound derived category of a finite-dimensional algebra. For an ST-pair
$(\C,\D)$, we construct an order-preserving map from silting objects in $\C$ to
bounded $t$-struc... | 0 | 0 | 1 | 0 | 0 | 0 |
Sketching the order of events | We introduce features for massive data streams. These stream features can be
thought of as "ordered moments" and generalize stream sketches from "moments of
order one" to "ordered moments of arbitrary order". In analogy to classic
moments, they have theoretical guarantees such as universality that are
important for l... | 1 | 0 | 1 | 1 | 0 | 0 |
Deep Multi-view Learning to Rank | We study the problem of learning to rank from multiple sources. Though
multi-view learning and learning to rank have been studied extensively leading
to a wide range of applications, multi-view learning to rank as a synergy of
both topics has received little attention. The aim of the paper is to propose a
composite r... | 0 | 0 | 0 | 1 | 0 | 0 |
One-Shot Visual Imitation Learning via Meta-Learning | In order for a robot to be a generalist that can perform a wide range of
jobs, it must be able to acquire a wide variety of skills quickly and
efficiently in complex unstructured environments. High-capacity models such as
deep neural networks can enable a robot to represent complex skills, but
learning each skill fro... | 1 | 0 | 0 | 0 | 0 | 0 |
Second variation of Selberg zeta functions and curvature asymptotics | We give an explicit formula for the second variation of the logarithm of the
Selberg zeta function, $Z(s)$, on Teichmüller space. We then use this formula
to determine the asymptotic behavior as $s \to \infty$ of the second variation.
As a consequence, we determine the signature of the Hessian of $\log Z(s)$ for
suff... | 0 | 0 | 1 | 0 | 0 | 0 |
Magnetic Fields Threading Black Holes: restrictions from general relativity and implications for astrophysical black holes | The idea that black hole spin is instrumental in the generation of powerful
jets in active galactic nuclei and X-ray binaries is arguably the most
contentious claim in black hole astrophysics. Because jets are thought to
originate in the context of electromagnetism, and the modeling of Maxwell
fields in curved spacet... | 0 | 1 | 0 | 0 | 0 | 0 |
Distance covariance for stochastic processes | The distance covariance of two random vectors is a measure of their
dependence. The empirical distance covariance and correlation can be used as
statistical tools for testing whether two random vectors are independent. We
propose an analogs of the distance covariance for two stochastic processes
defined on some inter... | 0 | 0 | 1 | 1 | 0 | 0 |
On Nonparametric Regression using Data Depth | We investigate nonparametric regression methods based on statistical depth
functions. These nonparametric regression procedures can be used in situations,
where the response is multivariate and the covariate is a random element in a
metric space. This includes regression with functional covariate as a special
case. O... | 0 | 0 | 0 | 1 | 0 | 0 |
A Backward Simulation Method for Stochastic Optimal Control Problems | A number of optimal decision problems with uncertainty can be formulated into
a stochastic optimal control framework. The Least-Squares Monte Carlo (LSMC)
algorithm is a popular numerical method to approach solutions of such
stochastic control problems as analytical solutions are not tractable in
general. This paper ... | 0 | 0 | 0 | 0 | 0 | 1 |
Damped Posterior Linearization Filter | The iterated posterior linearization filter (IPLF) is an algorithm for
Bayesian state estimation that performs the measurement update using iterative
statistical regression. The main result behind IPLF is that the posterior
approximation is more accurate when the statistical regression of measurement
function is done... | 0 | 0 | 1 | 1 | 0 | 0 |
Status updates through M/G/1/1 queues with HARQ | We consider a system where randomly generated updates are to be transmitted
to a monitor, but only a single update can be in the transmission service at a
time. Therefore, the source has to prioritize between the two possible
transmission policies: preempting the current update or discarding the new one.
We consider ... | 1 | 0 | 0 | 0 | 0 | 0 |
A mean score method for sensitivity analysis to departures from the missing at random assumption in randomised trials | Most analyses of randomised trials with incomplete outcomes make untestable
assumptions and should therefore be subjected to sensitivity analyses. However,
methods for sensitivity analyses are not widely used. We propose a mean score
approach for exploring global sensitivity to departures from missing at random
or ot... | 0 | 0 | 1 | 1 | 0 | 0 |
On the union complexity of families of axis-parallel rectangles with a low packing number | Let R be a family of n axis-parallel rectangles with packing number p-1,
meaning that among any p of the rectangles, there are two with a non-empty
intersection. We show that the union complexity of R is at most O(n+p^2), and
that the (<=k)-level complexity of R is at most O(kn+k^2p^2). Both upper bounds
are tight.
| 1 | 0 | 1 | 0 | 0 | 0 |
Using photo-ionisation models to derive carbon and oxygen gas-phase abundances in the rest UV | We present a new method to derive oxygen and carbon abundances using the
ultraviolet (UV) lines emitted by the gas-phase ionised by massive stars. The
method is based on the comparison of the nebular emission-line ratios with
those predicted by a large grid of photo-ionisation models. Given the large
dispersion in th... | 0 | 1 | 0 | 0 | 0 | 0 |
A Probabilistic Framework for Location Inference from Social Media | We study the extent to which we can infer users' geographical locations from
social media. Location inference from social media can benefit many
applications, such as disaster management, targeted advertising, and news
content tailoring. In recent years, a number of algorithms have been proposed
for identifying user ... | 1 | 0 | 0 | 0 | 0 | 0 |
The Novel ABALONE Photosensor Technology: 4-Year Long Tests of Vacuum Integrity, Internal Pumping and Afterpulsing | The ABALONE Photosensor Technology (U.S. Patent 9064678 2015) has the
capability of supplanting the expensive 80 year old Photomultiplier Tube (PMT)
manufacture by providing a modern and cost effective alternative product. An
ABALONE Photosensor comprises only three monolithic glass components, sealed
together by our... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-robot Dubins Coverage with Autonomous Surface Vehicles | In large scale coverage operations, such as marine exploration or aerial
monitoring, single robot approaches are not ideal, as they may take too long to
cover a large area. In such scenarios, multi-robot approaches are preferable.
Furthermore, several real world vehicles are non-holonomic, but can be modeled
using Du... | 1 | 0 | 0 | 0 | 0 | 0 |
New Fairness Metrics for Recommendation that Embrace Differences | We study fairness in collaborative-filtering recommender systems, which are
sensitive to discrimination that exists in historical data. Biased data can
lead collaborative filtering methods to make unfair predictions against
minority groups of users. We identify the insufficiency of existing fairness
metrics and propo... | 1 | 0 | 0 | 0 | 0 | 0 |
Graph heat mixture model learning | Graph inference methods have recently attracted a great interest from the
scientific community, due to the large value they bring in data interpretation
and analysis. However, most of the available state-of-the-art methods focus on
scenarios where all available data can be explained through the same graph, or
groups ... | 1 | 0 | 0 | 1 | 0 | 0 |
Technical Report: Reactive Navigation in Partially Known Non-Convex Environments | This paper presents a provably correct method for robot navigation in 2D
environments cluttered with familiar but unexpected non-convex, star-shaped
obstacles as well as completely unknown, convex obstacles. We presuppose a
limited range onboard sensor, capable of recognizing, localizing and
(leveraging ideas from co... | 1 | 0 | 0 | 0 | 0 | 0 |
Automatic smoothness detection of the resolvent Krylov subspace method for the approximation of $C_0$-semigroups | The resolvent Krylov subspace method builds approximations to operator
functions $f(A)$ times a vector $v$. For the semigroup and related operator
functions, this method is proved to possess the favorable property that the
convergence is automatically faster when the vector $v$ is smoother. The user
of the method doe... | 0 | 0 | 1 | 0 | 0 | 0 |
On the observability of Pauli crystals | The best known manifestation of the Fermi-Dirac statistics is the Pauli
exclusion principle: no two identical fermions can occupy the same one-particle
state. This principle enforces high order correlations in systems of many
identical fermions and is responsible for a particular geometric arrangement of
trapped part... | 0 | 1 | 0 | 0 | 0 | 0 |
Interpolating Between Choices for the Approximate Intermediate Value Theorem | This paper proves the approximate intermediate value theorem, constructively
and from notably weak hypotheses: from pointwise rather than uniform
continuity, without assuming that reals are presented with rational
approximants, and without using countable choice. The theorem is that if a
pointwise continuous function... | 1 | 0 | 1 | 0 | 0 | 0 |
HAZMAT II: Ultraviolet Variability of Low-Mass Stars in the GALEX Archive | The ultraviolet (UV) light from a host star influences a planet's atmospheric
photochemistry and will affect interpretations of exoplanetary spectra from
future missions like the James Webb Space Telescope. These effects will be
particularly critical in the study of planetary atmospheres around M dwarfs,
including Ea... | 0 | 1 | 0 | 0 | 0 | 0 |
Exactly solvable Schrödinger equation with double-well potential for hydrogen bond | We construct a double-well potential for which the Schrödinger equation can
be exactly solved via reducing to the confluent Heun's one. Thus the wave
function is expressed via the confluent Heun's function. The latter is
tabulated in {\sl {Maple}} so that the obtained solution is easily treated. The
potential is infi... | 0 | 1 | 0 | 0 | 0 | 0 |
The co-evolution of emotional well-being with weak and strong friendship ties | Social ties are strongly related to well-being. But what characterizes this
relationship? This study investigates social mechanisms explaining how social
ties affect well-being through social integration and social influence, and how
well-being affects social ties through social selection. We hypothesize that
highly ... | 1 | 0 | 0 | 1 | 0 | 0 |
A magnetic version of the Smilansky-Solomyak model | We analyze spectral properties of two mutually related families of magnetic
Schrödinger operators, $H_{\mathrm{Sm}}(A)=(i \nabla +A)^2+\omega^2
y^2+\lambda y \delta(x)$ and $H(A)=(i \nabla +A)^2+\omega^2 y^2+ \lambda y^2
V(x y)$ in $L^2(R^2)$, with the parameters $\omega>0$ and $\lambda<0$, where
$A$ is a vector pote... | 0 | 0 | 1 | 0 | 0 | 0 |
John-Nirenberg Radius and Collapse in Conformal Geometry | Given a positive function $u\in W^{1,n}$, we define its John-Nirenberg radius
at point $x$ to be the supreme of the radius such that $\int_{B_t}|\nabla\log
u|^n<\epsilon_0^n$ when $n>2$, and $\int_{B_t}|\nabla u|^2<\epsilon_0^2$ when
$n=2$. We will show that for a collapsing sequence in a fixed conformal class
under ... | 0 | 0 | 1 | 0 | 0 | 0 |
Deep Prior | The recent literature on deep learning offers new tools to learn a rich
probability distribution over high dimensional data such as images or sounds.
In this work we investigate the possibility of learning the prior distribution
over neural network parameters using such tools. Our resulting variational
Bayes algorith... | 1 | 0 | 0 | 1 | 0 | 0 |
Generalized two-dimensional linear discriminant analysis with regularization | Recent advances show that two-dimensional linear discriminant analysis
(2DLDA) is a successful matrix based dimensionality reduction method. However,
2DLDA may encounter the singularity issue theoretically and the sensitivity to
outliers. In this paper, a generalized Lp-norm 2DLDA framework with
regularization for an... | 0 | 0 | 0 | 1 | 0 | 0 |
Time-Frequency Audio Features for Speech-Music Classification | Distinct striation patterns are observed in the spectrograms of speech and
music. This motivated us to propose three novel time-frequency features for
speech-music classification. These features are extracted in two stages. First,
a preset number of prominent spectral peak locations are identified from the
spectra of... | 1 | 0 | 0 | 0 | 0 | 0 |
Kinodynamic Planning on Constraint Manifolds | This paper presents a motion planner for systems subject to kinematic and
dynamic constraints. The former appear when kinematic loops are present in the
system, such as in parallel manipulators, in robots that cooperate to achieve a
given task, or in situations involving contacts with the environment. The
latter are ... | 1 | 0 | 0 | 0 | 0 | 0 |
Binary Classification from Positive-Confidence Data | Can we learn a binary classifier from only positive data, without any
negative data or unlabeled data? We show that if one can equip positive data
with confidence (positive-confidence), one can successfully learn a binary
classifier, which we name positive-confidence (Pconf) classification. Our work
is related to one... | 1 | 0 | 0 | 1 | 0 | 0 |
Skewing Methods for Variance-Stabilizing Local Linear Regression Estimation | It is well-known that kernel regression estimators do not produce a constant
estimator variance over a domain. To correct this problem, Nishida and Kanazawa
(2015) proposed a variance-stabilizing (VS) local variable bandwidth for Local
Linear (LL) regression estimator. In contrast, Choi and Hall (1998) proposed
the s... | 0 | 0 | 0 | 1 | 0 | 0 |
Proximodistal Exploration in Motor Learning as an Emergent Property of Optimization | To harness the complexity of their high-dimensional bodies during
sensorimotor development, infants are guided by patterns of freezing and
freeing of degrees of freedom. For instance, when learning to reach, infants
free the degrees of freedom in their arm proximodistally, i.e. from joints that
are closer to the body... | 1 | 0 | 0 | 0 | 0 | 0 |
Near-optimal Sample Complexity Bounds for Robust Learning of Gaussians Mixtures via Compression Schemes | We prove that $\tilde{\Theta}(k d^2 / \varepsilon^2)$ samples are necessary
and sufficient for learning a mixture of $k$ Gaussians in $\mathbb{R}^d$, up to
error $\varepsilon$ in total variation distance. This improves both the known
upper bounds and lower bounds for this problem. For mixtures of axis-aligned
Gaussia... | 1 | 0 | 1 | 0 | 0 | 0 |
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME | We present a heuristic based algorithm to induce \textit{nonmonotonic} logic
programs that will explain the behavior of XGBoost trained classifiers. We use
the technique based on the LIME approach to locally select the most important
features contributing to the classification decision. Then, in order to explain
the ... | 0 | 0 | 0 | 1 | 0 | 0 |
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation | Manipulation of deformable objects, such as ropes and cloth, is an important
but challenging problem in robotics. We present a learning-based system where a
robot takes as input a sequence of images of a human manipulating a rope from
an initial to goal configuration, and outputs a sequence of actions that can
reprod... | 1 | 0 | 0 | 0 | 0 | 0 |
Online learning with graph-structured feedback against adaptive adversaries | We derive upper and lower bounds for the policy regret of $T$-round online
learning problems with graph-structured feedback, where the adversary is
nonoblivious but assumed to have a bounded memory. We obtain upper bounds of
$\widetilde O(T^{2/3})$ and $\widetilde O(T^{3/4})$ for strongly-observable and
weakly-observ... | 0 | 0 | 0 | 1 | 0 | 0 |
Dynamical characteristics of electromagnetic field under conditions of total reflection | The dynamical characteristics of electromagnetic fields include energy,
momentum, angular momentum (spin) and helicity. We analyze their spatial
distributions near the planar interface between two transparent and
non-dispersive media, when the incident monochromatic plane wave with arbitrary
polarization is totally r... | 0 | 1 | 0 | 0 | 0 | 0 |
Functors induced by Cauchy extension of C*-algebras | In this paper we give three functors $\mathfrak{P}$, $[\cdot]_K$ and
$\mathfrak{F}$ on the category of C$^\ast$-algebras. The functor $\mathfrak{P}$
assigns to each C$^\ast$-algebra $\mathcal{A}$ a pre-C$^\ast$-algebra
$\mathfrak{P}(\mathcal{A})$ with completion $[\mathcal{A}]_K$. The functor
$[\cdot]_K$ assigns to e... | 0 | 0 | 1 | 0 | 0 | 0 |
Hierarchically cocompact classifying spaces for mapping class groups of surfaces | We define the notion of a hierarchically cocompact classifying space for a
family of subgroups of a group. Our main application is to show that the
mapping class group $\mbox{Mod}(S)$ of any connected oriented compact surface
$S$, possibly with punctures and boundary components and with negative Euler
characteristic ... | 0 | 0 | 1 | 0 | 0 | 0 |
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks | An explosion of high-throughput DNA sequencing in the past decade has led to
a surge of interest in population-scale inference with whole-genome data.
Recent work in population genetics has centered on designing inference methods
for relatively simple model classes, and few scalable general-purpose inference
techniqu... | 0 | 0 | 0 | 1 | 1 | 0 |
Coherent single-atom superradiance | Quantum effects, prevalent in the microscopic scale, generally elusive in
macroscopic systems due to dissipation and decoherence. Quantum phenomena in
large systems emerge only when particles are strongly correlated as in
superconductors and superfluids. Cooperative interaction of correlated atoms
with electromagneti... | 0 | 1 | 0 | 0 | 0 | 0 |
Recurrent Deterministic Policy Gradient Method for Bipedal Locomotion on Rough Terrain Challenge | This paper presents a deep learning framework that is capable of solving
partially observable locomotion tasks based on our novel interpretation of
Recurrent Deterministic Policy Gradient (RDPG). We study on bias of sampled
error measure and its variance induced by the partial observability of
environment and subtraj... | 1 | 0 | 0 | 0 | 0 | 0 |
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