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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A Parsimonious Dynamical Model for Structural Learning in the Human Brain | The human brain is capable of diverse feats of intelligence. A particularly
salient example is the ability to deduce structure from time-varying auditory
and visual stimuli, enabling humans to master the rules of language and to
build rich expectations of their physical environment. The broad relevance of
this abilit... | 0 | 0 | 0 | 0 | 1 | 0 |
Estimation of mean residual life | Yang (1978) considered an empirical estimate of the mean residual life
function on a fixed finite interval. She proved it to be strongly uniformly
consistent and (when appropriately standardized) weakly convergent to a
Gaussian process. These results are extended to the whole half line, and the
variance of the the li... | 0 | 0 | 1 | 1 | 0 | 0 |
Trace-free characters and abelian knot contact homology II | We calculate ghost characters for the (5,6)-torus knot, and using them we
show that the (5,6)-torus knot gives a counter-example of Ng's conjecture
concerned with the relationship between degree 0 abelian knot contact homology
and the character variety of the 2-fold branched covering of the 3-sphere
branched along th... | 0 | 0 | 1 | 0 | 0 | 0 |
Surface Plasmon Excitation of Second Harmonic light: Emission and Absorption | We aim to clarify the role that absorption plays in nonlinear optical
processes in a variety of metallic nanostructures and show how it relates to
emission and conversion efficiency. We define a figure of merit that
establishes the structure's ability to either favor or impede second harmonic
generation. Our findings... | 0 | 1 | 0 | 0 | 0 | 0 |
Fault diagnosability of data center networks | The data center networks $D_{n,k}$, proposed in 2008, has many desirable
features such as high network capacity. A kind of generalization of
diagnosability for network $G$ is $g$-good-neighbor diagnosability which is
denoted by $t_g(G)$. Let $\kappa^g(G)$ be the $R^g$-connectivity. Lin et. al.
in [IEEE Trans. on Reli... | 1 | 0 | 0 | 0 | 0 | 0 |
The Effects of Protostellar Disk Turbulence on CO Emission Lines: A Comparison Study of Disks with Constant CO Abundance vs. Chemically Evolving Disks | Turbulence is the leading candidate for angular momentum transport in
protoplanetary disks and therefore influences disk lifetimes and planet
formation timescales. However, the turbulent properties of protoplanetary disks
are poorly constrained observationally. Recent studies have found turbulent
speeds smaller than ... | 0 | 1 | 0 | 0 | 0 | 0 |
A General Framework of Multi-Armed Bandit Processes by Arm Switch Restrictions | This paper proposes a general framework of multi-armed bandit (MAB) processes
by introducing a type of restrictions on the switches among arms evolving in
continuous time.
The Gittins index process is constructed for any single arm subject to the
restrictions on switches and then the optimality of the corresponding G... | 0 | 0 | 0 | 1 | 0 | 0 |
Autonomous Urban Localization and Navigation with Limited Information | Urban environments offer a challenging scenario for autonomous driving.
Globally localizing information, such as a GPS signal, can be unreliable due to
signal shadowing and multipath errors. Detailed a priori maps of the
environment with sufficient information for autonomous navigation typically
require driving the a... | 1 | 0 | 0 | 0 | 0 | 0 |
Iterative Refinement for $\ell_p$-norm Regression | We give improved algorithms for the $\ell_{p}$-regression problem, $\min_{x}
\|x\|_{p}$ such that $A x=b,$ for all $p \in (1,2) \cup (2,\infty).$ Our
algorithms obtain a high accuracy solution in $\tilde{O}_{p}(m^{\frac{|p-2|}{2p
+ |p-2|}}) \le \tilde{O}_{p}(m^{\frac{1}{3}})$ iterations, where each iteration
requires... | 1 | 0 | 0 | 1 | 0 | 0 |
Minimal free resolution of the associated graded ring of certain monomial curves | In this article, we give the explicit minimal free resolution of the
associated graded ring of certain affine monomial curves in affine 4-space
based on the standard basis theory. As a result, we give the minimal graded
free resolution and compute the Hilbert function of the tangent cone of these
families.
| 0 | 0 | 1 | 0 | 0 | 0 |
Knowledge distillation using unlabeled mismatched images | Current approaches for Knowledge Distillation (KD) either directly use
training data or sample from the training data distribution. In this paper, we
demonstrate effectiveness of 'mismatched' unlabeled stimulus to perform KD for
image classification networks. For illustration, we consider scenarios where
this is a co... | 1 | 0 | 0 | 1 | 0 | 0 |
Forbidden triads and Creative Success in Jazz: The Miles Davis Factor | This article argues for the importance of forbidden triads - open triads with
high-weight edges - in predicting success in creative fields. Forbidden triads
had been treated as a residual category beyond closed and open triads, yet I
argue that these structures provide opportunities to combine socially evolved
styles... | 0 | 1 | 0 | 1 | 0 | 0 |
Structural analysis of rubble-pile asteroids applied to collisional evolution | Solar system small bodies come in a wide variety of shapes and sizes, which
are achieved following very individual evolutional paths through billions of
years. This paper focuses on the reshaping process of rubble-pile asteroids
driven by meteorite impacts. In our study, numerous possible equilibrium
configurations a... | 0 | 1 | 0 | 0 | 0 | 0 |
The Imani Periodic Functions: Genesis and Preliminary Results | The Leah-Hamiltonian, $H(x,y)=y^2/2+3x^{4/3}/4$, is introduced as a
functional equation for $x(t)$ and $y(t)$. By means of a nonlinear
transformation to new independent variables, we show that this functional
equation has a special class of periodic solutions which we designate the Imani
functions. The explicit const... | 0 | 0 | 1 | 0 | 0 | 0 |
Towards fully automated protein structure elucidation with NMR spectroscopy | Nuclear magnetic resonance (NMR) spectroscopy is one of the leading
techniques for protein studies. The method features a number of properties,
allowing to explain macromolecular interactions mechanistically and resolve
structures with atomic resolution. However, due to laborious data analysis, a
full potential of NM... | 0 | 0 | 0 | 1 | 0 | 0 |
On families of fibred knots with equal Seifert forms | For every genus $g\geq 2$, we construct an infinite family of strongly
quasipositive fibred knots having the same Seifert form as the torus knot
$T(2,2g+1)$. In particular, their signatures and four-genera are maximal and
their homological monodromies (hence their Alexander module structures) agree.
On the other hand... | 0 | 0 | 1 | 0 | 0 | 0 |
Robust Computation in 2D Absolute EIT (a-EIT) Using D-bar Methods with the `exp' Approximation | Objective: Absolute images have important applications in medical Electrical
Impedance Tomography (EIT) imaging, but the traditional minimization and
statistical based computations are very sensitive to modeling errors and noise.
In this paper, it is demonstrated that D-bar reconstruction methods for
absolute EIT are... | 1 | 0 | 0 | 0 | 0 | 0 |
A Comparison of Spatial-based Targeted Disease Containment Strategies using Mobile Phone Data | Epidemic outbreaks are an important healthcare challenge, especially in
developing countries where they represent one of the major causes of mortality.
Approaches that can rapidly target subpopulations for surveillance and control
are critical for enhancing containment processes during epidemics.
Using a real-world d... | 1 | 1 | 0 | 0 | 0 | 0 |
Attosecond Streaking in the Water Window: A New Regime of Attosecond Pulse Characterization | We report on the first streaking measurement of water-window attosecond
pulses generated via high harmonic generation, driven by sub-2-cycle,
CEP-stable, 1850 nm laser pulses. Both the central photon energy and the energy
bandwidth far exceed what has been demonstrated thus far, warranting the
investigation of the at... | 0 | 1 | 0 | 0 | 0 | 0 |
The intrinsic Baldwin effect in broad Balmer lines of six long-term monitored AGNs | We investigate the intrinsic Baldwin effect (Beff) of the broad H$\alpha$ and
H$\beta$ emission lines for six Type 1 active galactic nuclei (AGNs) with
different broad line characteristics: two Seyfert 1 (NGC 4151 and NGC 5548),
two AGNs with double-peaked broad line profiles (3C 390.3 and Arp 102B), one
narrow line ... | 0 | 1 | 0 | 0 | 0 | 0 |
A Novel Formal Agent-based Simulation Modeling Framework of an AIDS Complex Adaptive System | HIV/AIDS spread depends upon complex patterns of interaction among various
sub-sets emerging at population level. This added complexity makes it difficult
to study and model AIDS and its dynamics. AIDS is therefore a natural candidate
to be modeled using agent-based modeling, a paradigm well-known for modeling
Comple... | 1 | 1 | 0 | 0 | 0 | 0 |
Interplay of Fluorescence and Phosphorescence in Organic Biluminescent Emitters | Biluminescent organic emitters show simultaneous fluorescence and
phosphorescence at room temperature. So far, the optimization of the room
temperature phosphorescence (RTP) in these materials has drawn the attention of
research. However, the continuous wave operation of these emitters will
consequently turn them int... | 0 | 1 | 0 | 0 | 0 | 0 |
Ion-impact-induced multifragmentation of liquid droplets | An instability of a liquid droplet traversed by an energetic ion is explored.
This instability is brought about by the predicted shock wave induced by the
ion. An observation of multifragmentation of small droplets traversed by ions
with high linear energy transfer is suggested to demonstrate the existence of
shock w... | 0 | 1 | 0 | 0 | 0 | 0 |
Planning Hybrid Driving-Stepping Locomotion on Multiple Levels of Abstraction | Navigating in search and rescue environments is challenging, since a variety
of terrains has to be considered. Hybrid driving-stepping locomotion, as
provided by our robot Momaro, is a promising approach. Similar to other
locomotion methods, it incorporates many degrees of freedom---offering high
flexibility but maki... | 1 | 0 | 0 | 0 | 0 | 0 |
Blackbody Radiation in Classical Physics: A Historical Perspective | We point out that current textbooks of modern physics are a century
out-of-date in their treatment of blackbody radiation within classical physics.
Relativistic classical electrodynamics including classical electromagnetic
zero-point radiation gives the Planck spectrum with zero-point radiation as the
blackbody radia... | 0 | 1 | 0 | 0 | 0 | 0 |
The Lyman Continuum escape fraction of faint galaxies at z~3.3 in the CANDELS/GOODS-North, EGS, and COSMOS fields with LBC | The reionization of the Universe is one of the most important topics of
present day astrophysical research. The most plausible candidates for the
reionization process are star-forming galaxies, which according to the
predictions of the majority of the theoretical and semi-analytical models
should dominate the HI ioni... | 0 | 1 | 0 | 0 | 0 | 0 |
The effect of stellar and AGN feedback on the low redshift Lyman-$α$ forest in the Sherwood simulation suite | We study the effect of different feedback prescriptions on the properties of
the low redshift ($z\leq1.6$) Ly$\alpha$ forest using a selection of
hydrodynamical simulations drawn from the Sherwood simulation suite. The
simulations incorporate stellar feedback, AGN feedback and a simplified scheme
for efficiently mode... | 0 | 1 | 0 | 0 | 0 | 0 |
Asteroid 2017 FZ2 et al.: signs of recent mass-shedding from YORP? | The first direct detection of the asteroidal YORP effect, a phenomenon that
changes the spin states of small bodies due to thermal reemission of sunlight
from their surfaces, was obtained for (54509) YORP 2000 PH5. Such an alteration
can slowly increase the rotation rate of asteroids, driving them to reach their
fiss... | 0 | 1 | 0 | 0 | 0 | 0 |
On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs | We study the convergence of the log-linear non-Bayesian social learning
update rule, for a group of agents that collectively seek to identify a
parameter that best describes a joint sequence of observations. Contrary to
recent literature, we focus on the case where agents assign decaying weights to
its neighbors, and... | 1 | 0 | 0 | 0 | 0 | 0 |
Exploring a search for long-duration transient gravitational waves associated with magnetar bursts | Soft gamma repeaters and anomalous X-ray pulsars are thought to be magnetars,
neutron stars with strong magnetic fields of order $\mathord{\sim}
10^{13}$--$10^{15} \, \mathrm{gauss}$. These objects emit intermittent bursts
of hard X-rays and soft gamma rays. Quasiperiodic oscillations in the X-ray
tails of giant flar... | 0 | 1 | 0 | 0 | 0 | 0 |
Optomechanical characterization of silicon nitride membrane arrays | We report on the optical and mechanical characterization of arrays of
parallel micromechanical membranes. Pairs of high-tensile stress, 100 nm-thick
silicon nitride membranes are assembled parallel with each other with
separations ranging from 8.5 to 200 $\mu$m. Their optical properties are
accurately determined usin... | 0 | 1 | 0 | 0 | 0 | 0 |
Coupling between a charge density wave and magnetism in an Heusler material | The Prototypical magnetic memory shape alloy Ni$_2$MnGa undergoes various
phase transitions as a function of temperature, pressure, and doping. In the
low-temperature phases below 260 K, an incommensurate structural modulation
occurs along the [110] direction which is thought to arise from softening of a
phonon mode.... | 0 | 1 | 0 | 0 | 0 | 0 |
Best-Effort FPGA Programming: A Few Steps Can Go a Long Way | FPGA-based heterogeneous architectures provide programmers with the ability
to customize their hardware accelerators for flexible acceleration of many
workloads. Nonetheless, such advantages come at the cost of sacrificing
programmability. FPGA vendors and researchers attempt to improve the
programmability through hi... | 1 | 0 | 0 | 0 | 0 | 0 |
Towards the study of least squares estimators with convex penalty | Penalized least squares estimation is a popular technique in high-dimensional
statistics. It includes such methods as the LASSO, the group LASSO, and the
nuclear norm penalized least squares. The existing theory of these methods is
not fully satisfying since it allows one to prove oracle inequalities with
fixed high ... | 0 | 0 | 1 | 1 | 0 | 0 |
A Multi-traffic Inter-cell Interference Coordination Scheme in Dense Cellular Networks | This paper proposes a novel semi-distributed and practical ICIC scheme based
on the Almost Blank SubFrame (ABSF) approach specified by 3GPP. We define two
mathematical programming problems for the cases of guaranteed and best-effort
traffic, and use game theory to study the properties of the derived ICIC
distributed ... | 1 | 0 | 0 | 0 | 0 | 0 |
Distributional Adversarial Networks | We propose a framework for adversarial training that relies on a sample
rather than a single sample point as the fundamental unit of discrimination.
Inspired by discrepancy measures and two-sample tests between probability
distributions, we propose two such distributional adversaries that operate and
predict on sampl... | 1 | 0 | 0 | 0 | 0 | 0 |
First order magneto-structural transition and magnetocaloric effect in MnNiGe$_{0.9}$Ga$_{0.1}$ | The first order magneto-structural transition ($T_t\simeq95$ K) and
magnetocaloric effect in MnNiGe$_{0.9}$Ga$_{0.1}$ are studied via powder x-ray
diffraction and magnetization measurements. Temperature dependent x-ray
diffraction measurements reveal that the magneto-structural transition remains
incomplete down to 2... | 0 | 1 | 0 | 0 | 0 | 0 |
Parametric Gaussian Process Regression for Big Data | This work introduces the concept of parametric Gaussian processes (PGPs),
which is built upon the seemingly self-contradictory idea of making Gaussian
processes parametric. Parametric Gaussian processes, by construction, are
designed to operate in "big data" regimes where one is interested in
quantifying the uncertai... | 0 | 0 | 0 | 1 | 0 | 0 |
Achieving non-discrimination in prediction | Discrimination-aware classification is receiving an increasing attention in
data science fields. The pre-process methods for constructing a
discrimination-free classifier first remove discrimination from the training
data, and then learn the classifier from the cleaned data. However, they lack a
theoretical guarantee... | 1 | 0 | 0 | 1 | 0 | 0 |
Fixing and almost fixing a planar convex body | A set of points a 1 ,. .. , a n fixes a planar convex body K if the points
are on bdK, the boundary of K, and if any small move of K brings some point of
the set in intK, the interior of K. The points a 1 ,. .. , a n $\in$ bdK almost
fix K if, for any neighbourhoods V i of a i (i = 1,. .. , n), there are pairs
of poi... | 0 | 0 | 1 | 0 | 0 | 0 |
Undersampled dynamic X-ray tomography with dimension reduction Kalman filter | In this paper, we consider prior-based dimension reduction Kalman filter for
undersampled dynamic X-ray tomography. With this method, the X-ray
reconstructions are parameterized by a low-dimensional basis. Thus, the
proposed method is a) computationally very light; and b) extremely robust as
all the computations can ... | 0 | 0 | 0 | 1 | 0 | 0 |
End-to-End Sound Source Separation Conditioned On Instrument Labels | Can we perform an end-to-end sound source separation (SSS) with a variable
number of sources using a deep learning model? This paper presents an extension
of the Wave-U-Net model which allows end-to-end monaural source separation with
a non-fixed number of sources. Furthermore, we propose multiplicative
conditioning ... | 1 | 0 | 0 | 0 | 0 | 0 |
Group analysis of general Burgers-Korteweg-de Vries equations | The complete group classification problem for the class of (1+1)-dimensional
$r$th order general variable-coefficient Burgers-Korteweg-de Vries equations is
solved for arbitrary values of $r$ greater than or equal to two. We find the
equivalence groupoids of this class and its various subclasses obtained by
gauging e... | 0 | 1 | 1 | 0 | 0 | 0 |
Evolutionary Generative Adversarial Networks | Generative adversarial networks (GAN) have been effective for learning
generative models for real-world data. However, existing GANs (GAN and its
variants) tend to suffer from training problems such as instability and mode
collapse. In this paper, we propose a novel GAN framework called evolutionary
generative advers... | 0 | 0 | 0 | 1 | 0 | 0 |
Extended Sammon Projection and Wavelet Kernel Extreme Learning Machine for Gait-Based Legitimate User Identification on Smartphones | Smartphones have ubiquitously integrated into our home and work environments,
however, users normally rely on explicit but inefficient identification
processes in a controlled environment. Therefore, when a device is stolen, a
thief can have access to the owner's personal information and services against
the stored p... | 1 | 0 | 0 | 0 | 0 | 0 |
On the free path length distribution for linear motion in an n-dimensional box | We consider the distribution of free path lengths, or the distance between
consecutive bounces of random particles, in an n-dimensional rectangular box.
If each particle travels a distance R, then, as R tends to infinity the free
path lengths coincides with the distribution of the length of the intersection
of a rand... | 0 | 0 | 1 | 0 | 0 | 0 |
Spin-Orbit Misalignments of Three Jovian Planets via Doppler Tomography | We present measurements of the spin-orbit misalignments of the hot Jupiters
HAT-P-41 b and WASP-79 b, and the aligned warm Jupiter Kepler-448 b. We
obtained these measurements with Doppler tomography, where we spectroscopically
resolve the line profile perturbation during the transit due to the
Rossiter-McLaughlin ef... | 0 | 1 | 0 | 0 | 0 | 0 |
Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes | This paper introduces a novel parameter estimation method for the probability
tables of Bayesian network classifiers (BNCs), using hierarchical Dirichlet
processes (HDPs). The main result of this paper is to show that improved
parameter estimation allows BNCs to outperform leading learning methods such as
Random Fore... | 1 | 0 | 0 | 1 | 0 | 0 |
Modeling and Simulation of the Dynamics of the Quick Return Mechanism: A Bond Graph Approach | This paper applies the multibond graph approach for rigid multibody systems
to model the dynamics of general spatial mechanisms. The commonly used quick
return mechanism which comprises of revolute as well as prismatic joints has
been chosen as a representative example to demonstrate the application of this
technique... | 1 | 0 | 0 | 0 | 0 | 0 |
Nauticle: a general-purpose particle-based simulation tool | Nauticle is a general-purpose simulation tool for the flexible and highly
configurable application of particle-based methods of either discrete or
continuum phenomena. It is presented that Nauticle has three distinct layers
for users and developers, then the top two layers are discussed in detail. The
paper introduce... | 1 | 1 | 0 | 0 | 0 | 0 |
Local and non-local energy spectra of superfluid $^3$He turbulence | Below the phase transition temperature $Tc \simeq 10^{-3}$K He-3B has a
mixture of normal and superfluid components. Turbulence in this material is
carried predominantly by the superfluid component. We explore the statistical
properties of this quantum turbulence, stressing the differences from the
better known class... | 0 | 1 | 0 | 0 | 0 | 0 |
Microwave SQUID Multiplexer demonstration for Cosmic Microwave Background Imagers | Key performance characteristics are demonstrated for the microwave SQUID
multiplexer ($\mu$MUX) coupled to transition edge sensor (TES) bolometers that
have been optimized for cosmic microwave background (CMB) observations. In a
64-channel demonstration, we show that the $\mu$MUX produces a white, input
referred curr... | 0 | 1 | 0 | 0 | 0 | 0 |
Preserving Differential Privacy Between Features in Distributed Estimation | Privacy is crucial in many applications of machine learning. Legal, ethical
and societal issues restrict the sharing of sensitive data making it difficult
to learn from datasets that are partitioned between many parties. One important
instance of such a distributed setting arises when information about each
record in... | 1 | 0 | 0 | 1 | 0 | 0 |
Parallel implementation of a vehicle rail dynamical model for multi-core systems | This research presents a model of a complex dynamic object running on a
multi-core system. Discretization and numerical integration for multibody
models of vehicle rail elements in the vertical longitudinal plane fluctuations
is considered. The implemented model and solution of the motion differential
equations allow... | 1 | 0 | 0 | 0 | 0 | 0 |
Towards Neural Phrase-based Machine Translation | In this paper, we present Neural Phrase-based Machine Translation (NPMT). Our
method explicitly models the phrase structures in output sequences using
Sleep-WAke Networks (SWAN), a recently proposed segmentation-based sequence
modeling method. To mitigate the monotonic alignment requirement of SWAN, we
introduce a ne... | 1 | 0 | 0 | 1 | 0 | 0 |
Towards Accurate Multi-person Pose Estimation in the Wild | We propose a method for multi-person detection and 2-D pose estimation that
achieves state-of-art results on the challenging COCO keypoints task. It is a
simple, yet powerful, top-down approach consisting of two stages.
In the first stage, we predict the location and scale of boxes which are
likely to contain people;... | 1 | 0 | 0 | 0 | 0 | 0 |
Global band topology of simple and double Dirac-point (semi-)metals | We combine space group representation theory together with scanning of closed
subdomains of the Brillouin zone with Wilson loops to algebraically determine
global band structure topology. Considering space group #19 as a case study, we
show that the energy ordering of the irreducible representations at the
high-symme... | 0 | 1 | 0 | 0 | 0 | 0 |
Topological Perspectives on Statistical Quantities I | In statistics cumulants are defined to be functions that measure the linear
independence of random variables. In the non-communicative case the Boolean
cumulants can be described as functions that measure deviation of a map between
algebras from being an algebra morphism. In Algebraic topology maps that are
homotopic... | 0 | 0 | 1 | 0 | 0 | 0 |
A Python Calculator for Supernova Remnant Evolution | A freely available Python code for modelling SNR evolution has been created.
This software is intended for two purposes: to understand SNR evolution; and to
use in modelling observations of SNR for obtaining good estimates of SNR
properties. It includes all phases for the standard path of evolution for
spherically sy... | 0 | 1 | 0 | 0 | 0 | 0 |
Über die Präzision interprozeduraler Analysen | In this work, we examine two approaches to interprocedural data-flow analysis
of Sharir and Pnueli in terms of precision: the functional and the call-string
approach. In doing so, not only the theoretical best, but all solutions are
regarded which occur when using abstract interpretation or widening
additionally. It ... | 1 | 0 | 0 | 0 | 0 | 0 |
Gee-Haw Whammy Diddle | Gee-Haw Whammy Diddle is a seemingly simple mechanical toy consisting of a
wooden stick and a second stick that is made up of a series of notches with a
propeller at its end. When the wooden stick is pulled over the notches, the
propeller starts to rotate. In spite of its simplicity, physical principles
governing the... | 0 | 1 | 0 | 0 | 0 | 0 |
Cancellation theorem for Grothendieck-Witt-correspondences and Witt-correspondences | The cancellation theorem for Grothendieck-Witt-correspondences and
Witt-correspondences between smooth varieties over an infinite prefect field
$k$, $char k \neq 2$, is proved, the isomorphism
$$Hom_{\mathbf{DM}^\mathrm{GW}_\mathrm{eff}}(A^\bullet,B^\bullet) \simeq
Hom_{\mathbf{DM}^\mathrm{GW}_\mathrm{eff}}(A^\bullet... | 0 | 0 | 1 | 0 | 0 | 0 |
Jumping across biomedical contexts using compressive data fusion | Motivation: The rapid growth of diverse biological data allows us to consider
interactions between a variety of objects, such as genes, chemicals, molecular
signatures, diseases, pathways and environmental exposures. Often, any pair of
objects--such as a gene and a disease--can be related in different ways, for
examp... | 1 | 0 | 0 | 1 | 0 | 0 |
Memories of a Theoretical Physicist | While I was dealing with a brain injury and finding it difficult to work, two
friends (Derek Westen, a friend of the KITP, and Steve Shenker, with whom I was
recently collaborating), suggested that a new direction might be good. Steve in
particular regarded me as a good writer and suggested that I try that. I
quickly... | 0 | 1 | 0 | 0 | 0 | 0 |
Connecting the dots between mechanosensitive channel abundance, osmotic shock, and survival at single-cell resolution | Rapid changes in extracellular osmolarity are one of many insults microbial
cells face on a daily basis. To protect against such shocks, Escherichia coli
and other microbes express several types of transmembrane channels which open
and close in response to changes in membrane tension. In E. coli, one of the
most abun... | 0 | 0 | 0 | 0 | 1 | 0 |
Optical Mapping Near-eye Three-dimensional Display with Correct Focus Cues | We present an optical mapping near-eye (OMNI) three-dimensional display
method for wearable devices. By dividing a display screen into different
sub-panels and optically mapping them to various depths, we create a multiplane
volumetric image with correct focus cues for depth perception. The resultant
system can drive... | 1 | 1 | 0 | 0 | 0 | 0 |
Quantum anomalous Hall state from spatially decaying interactions on the decorated honeycomb lattice | Topological phases typically encode topology at the level of the single
particle band structure. But a remarkable class of models shows that quantum
anomalous Hall effects can be driven exclusively by interactions, while the
parent non-interacting band structure is topologically trivial. Unfortunately,
these models h... | 0 | 1 | 0 | 0 | 0 | 0 |
Poisson--Gamma Dynamical Systems | We introduce a new dynamical system for sequentially observed multivariate
count data. This model is based on the gamma--Poisson construction---a natural
choice for count data---and relies on a novel Bayesian nonparametric prior that
ties and shrinks the model parameters, thus avoiding overfitting. We present an
effi... | 1 | 0 | 0 | 1 | 0 | 0 |
Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields | Incremental methods for structure learning of pairwise Markov random fields
(MRFs), such as grafting, improve scalability by avoiding inference over the
entire feature space in each optimization step. Instead, inference is performed
over an incrementally grown active set of features. In this paper, we address
key com... | 1 | 0 | 0 | 1 | 0 | 0 |
Cavity-enhanced transport of charge | We theoretically investigate charge transport through electronic bands of a
mesoscopic one-dimensional system, where inter-band transitions are coupled to
a confined cavity mode, initially prepared close to its vacuum. This coupling
leads to light-matter hybridization where the dressed fermionic bands interact
via ab... | 0 | 1 | 0 | 0 | 0 | 0 |
Isoparameteric hypersurfaces in a Randers sphere of constant flag curvature | In this paper, I study the isoparametric hypersurfaces in a Randers sphere
$(S^n,F)$ of constant flag curvature, with the navigation datum $(h,W)$. I
prove that an isoparametric hypersurface $M$ for the standard round sphere
$(S^n,h)$ which is tangent to $W$ remains isoparametric for $(S^n,F)$ after the
navigation pr... | 0 | 0 | 1 | 0 | 0 | 0 |
Bright-field microscopy of transparent objects: a ray tracing approach | Formation of a bright-field microscopic image of a transparent phase object
is described in terms of elementary geometrical optics. Our approach is based
on the premise that image replicates the intensity distribution (real or
virtual) at the front focal plane of the objective. The task is therefore
reduced to findin... | 0 | 1 | 0 | 0 | 0 | 0 |
Entropy Production Rate is Maximized in Non-Contractile Actomyosin | The actin cytoskeleton is an active semi-flexible polymer network whose
non-equilibrium properties coordinate both stable and contractile behaviors to
maintain or change cell shape. While myosin motors drive the actin cytoskeleton
out-of-equilibrium, the role of myosin-driven active stresses in the
accumulation and d... | 0 | 0 | 0 | 0 | 1 | 0 |
Intrinsic resolving power of XUV diffraction gratings measured with Fizeau interferometry | We introduce a method for using Fizeau interferometry to measure the
intrinsic resolving power of a diffraction grating. This method is more
accurate than traditional techniques based on a long-trace profiler (LTP),
since it is sensitive to long-distance phase errors not revealed by a d-spacing
map. We demonstrate 50... | 0 | 1 | 0 | 0 | 0 | 0 |
When do we have the power to detect biological interactions in spatial point patterns? | Determining the relative importance of environmental factors, biotic
interactions and stochasticity in assembling and maintaining species-rich
communities remains a major challenge in ecology. In plant communities,
interactions between individuals of different species are expected to leave a
spatial signature in the ... | 0 | 0 | 0 | 0 | 1 | 0 |
Spectral Algorithms for Computing Fair Support Vector Machines | Classifiers and rating scores are prone to implicitly codifying biases, which
may be present in the training data, against protected classes (i.e., age,
gender, or race). So it is important to understand how to design classifiers
and scores that prevent discrimination in predictions. This paper develops
computational... | 1 | 0 | 0 | 1 | 0 | 0 |
Random matrix approach for primal-dual portfolio optimization problems | In this paper, we revisit the portfolio optimization problems of the
minimization/maximization of investment risk under constraints of budget and
investment concentration (primal problem) and the maximization/minimization of
investment concentration under constraints of budget and investment risk (dual
problem) for t... | 1 | 1 | 0 | 0 | 0 | 0 |
On a method for constructing the Lax pairs for integrable models via quadratic ansatz | A method for constructing the Lax pairs for nonlinear integrable models is
suggested. First we look for a nonlinear invariant manifold to the
linearization of the given equation. Examples show that such invariant manifold
does exist and can effectively be found. Actually it is defined by a quadratic
form. As a result... | 0 | 1 | 0 | 0 | 0 | 0 |
Insight into the modeling of seismic waves for detection of underground cavities | Motivated by the need to detect an underground cavity within the procedure of
an On-Site-Inspection (OSI), of the Comprehensive Nuclear Test Ban Treaty
Organization, the aim of this paper is to present results on the comparison of
our numerical simulations with an analytic solution. The accurate numerical
modeling ca... | 0 | 1 | 0 | 0 | 0 | 0 |
Uncorrelated far AGN flaring with their delayed UHECRs events | The most distant AGN, within the allowed GZK cut-off radius, have been
recently candidate by many authors as the best location for observed UHECR
origination. Indeed, the apparent homogeneity and isotropy of recent UHECR
signals seems to require a far cosmic isotropic and homogeneous scenario
involving a proton UHECR... | 0 | 1 | 0 | 0 | 0 | 0 |
How to centralize and normalize quandle extensions | We show that quandle coverings in the sense of Eisermann form a (regular
epi)-reflective subcategory of the category of surjective quandle
homomorphisms, both by using arguments coming from categorical Galois theory
and by constructing concretely a centralization congruence. Moreover, we show
that a similar result ho... | 0 | 0 | 1 | 0 | 0 | 0 |
Geometric Fluctuation Theorem | We derive an extended fluctuation theorem for a geometric pumping in a
spin-boson system under a periodic control of environmental temperatures by
using a Markovian quantum master equation. We perform the Monte-Carlo
simulation and obtain the current distribution, the average current and the
fluctuation. Using the ex... | 0 | 1 | 0 | 0 | 0 | 0 |
Opinion Dynamics via Search Engines (and other Algorithmic Gatekeepers) | Ranking algorithms are the information gatekeepers of the Internet era. We
develop a stylized model to study the effects of ranking algorithms on opinion
dynamics. We consider a search engine that uses an algorithm based on
popularity and on personalization. We find that popularity-based rankings
generate an advantag... | 1 | 0 | 0 | 0 | 0 | 1 |
Exploring home robot capabilities by medium fidelity prototyping | In order for autonomous robots to be able to support people's well-being in
homes and everyday environments, new interactive capabilities will be required,
as exemplified by the soft design used for Disney's recent robot character
Baymax in popular fiction. Home robots will be required to be easy to interact
with and... | 1 | 0 | 0 | 0 | 0 | 0 |
Unsupervised Domain Adaptation Based on Source-guided Discrepancy | Unsupervised domain adaptation is the problem setting where data generating
distributions in the source and target domains are different, and labels in the
target domain are unavailable. One important question in unsupervised domain
adaptation is how to measure the difference between the source and target
domains. A ... | 0 | 0 | 0 | 1 | 0 | 0 |
On structured surfaces with defects: geometry, strain incompatibility, internal stress, and natural shapes | Given a distribution of defects on a structured surface, such as those
represented by 2-dimensional crystalline materials, liquid crystalline
surfaces, and thin sandwiched shells, what is the resulting stress field and
the deformed shape? Motivated by this concern, we first classify, and quantify,
the translational, ... | 0 | 1 | 1 | 0 | 0 | 0 |
Management system for the SND experiments | A new management system for the SND detector experiments (at VEPP-2000
collider in Novosibirsk) is developed. We describe here the interaction between
a user and the SND databases. These databases contain experiment configuration,
conditions and metadata. The new system is designed in client-server
architecture. It h... | 1 | 1 | 0 | 0 | 0 | 0 |
Fatiguing STDP: Learning from Spike-Timing Codes in the Presence of Rate Codes | Spiking neural networks (SNNs) could play a key role in unsupervised machine
learning applications, by virtue of strengths related to learning from the fine
temporal structure of event-based signals. However, some spike-timing-related
strengths of SNNs are hindered by the sensitivity of spike-timing-dependent
plastic... | 1 | 0 | 0 | 1 | 0 | 0 |
Kernel-Based Learning for Smart Inverter Control | Distribution grids are currently challenged by frequent voltage excursions
induced by intermittent solar generation. Smart inverters have been advocated
as a fast-responding means to regulate voltage and minimize ohmic losses. Since
optimal inverter coordination may be computationally challenging and preset
local con... | 1 | 0 | 0 | 1 | 0 | 0 |
Temperature fluctuations in a changing climate: an ensemble-based experimental approach | There is an ongoing debate in the literature about whether the present global
warming is increasing local and global temperature variability. The central
methodological issues of this debate relate to the proper treatment of
normalised temperature anomalies and trends in the studied time series which
may be difficult... | 0 | 1 | 0 | 0 | 0 | 0 |
Matrix factorizations for quantum complete intersections | We introduce twisted matrix factorizations for quantum complete intersections
of codimension two. For such an algebra, we show that in a given dimension,
almost all the indecomposable modules with bounded minimal projective
resolutions correspond to such matrix factorizations.
| 0 | 0 | 1 | 0 | 0 | 0 |
Coresets for Vector Summarization with Applications to Network Graphs | We provide a deterministic data summarization algorithm that approximates the
mean $\bar{p}=\frac{1}{n}\sum_{p\in P} p$ of a set $P$ of $n$ vectors in
$\REAL^d$, by a weighted mean $\tilde{p}$ of a \emph{subset} of $O(1/\eps)$
vectors, i.e., independent of both $n$ and $d$. We prove that the squared
Euclidean distanc... | 1 | 0 | 0 | 0 | 0 | 0 |
Two-dimensional matter-wave solitons and vortices in competing cubic-quintic nonlinear lattices | The nonlinear lattice---a new and nonlinear class of periodic
potentials---was recently introduced to generate various nonlinear localized
modes. Several attempts failed to stabilize two-dimensional (2D) solitons
against their intrinsic critical collapse in Kerr media. Here, we provide a
possibility for supporting 2D... | 0 | 1 | 0 | 0 | 0 | 0 |
RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval | Improvements of entity-relationship (E-R) search techniques have been
hampered by a lack of test collections, particularly for complex queries
involving multiple entities and relationships. In this paper we describe a
method for generating E-R test queries to support comprehensive E-R search
experiments. Queries and ... | 1 | 0 | 0 | 0 | 0 | 0 |
NimbRo-OP2X: Adult-sized Open-source 3D Printed Humanoid Robot | Humanoid robotics research depends on capable robot platforms, but recently
developed advanced platforms are often not available to other research groups,
expensive, dangerous to operate, or closed-source. The lack of available
platforms forces researchers to work with smaller robots, which have less
strict dynamic c... | 1 | 0 | 0 | 0 | 0 | 0 |
Optical bandgap engineering in nonlinear silicon nitride waveguides | Silicon nitride is awell-established material for photonic devices and
integrated circuits. It displays a broad transparency window spanning from the
visible to the mid-IR and waveguides can be manufactured with low losses. An
absence of nonlinear multi-photon absorption in the erbium lightwave
communications band ha... | 0 | 1 | 0 | 0 | 0 | 0 |
Approximate Steepest Coordinate Descent | We propose a new selection rule for the coordinate selection in coordinate
descent methods for huge-scale optimization. The efficiency of this novel
scheme is provably better than the efficiency of uniformly random selection,
and can reach the efficiency of steepest coordinate descent (SCD), enabling an
acceleration ... | 1 | 0 | 1 | 0 | 0 | 0 |
How Robust are Deep Neural Networks? | Convolutional and Recurrent, deep neural networks have been successful in
machine learning systems for computer vision, reinforcement learning, and other
allied fields. However, the robustness of such neural networks is seldom
apprised, especially after high classification accuracy has been attained. In
this paper, w... | 0 | 0 | 0 | 1 | 0 | 0 |
Learning Latent Representations for Speech Generation and Transformation | An ability to model a generative process and learn a latent representation
for speech in an unsupervised fashion will be crucial to process vast
quantities of unlabelled speech data. Recently, deep probabilistic generative
models such as Variational Autoencoders (VAEs) have achieved tremendous success
in modeling nat... | 1 | 0 | 0 | 1 | 0 | 0 |
Approximate Profile Maximum Likelihood | We propose an efficient algorithm for approximate computation of the profile
maximum likelihood (PML), a variant of maximum likelihood maximizing the
probability of observing a sufficient statistic rather than the empirical
sample. The PML has appealing theoretical properties, but is difficult to
compute exactly. Ins... | 1 | 0 | 0 | 1 | 0 | 0 |
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