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 Review on Quantile Regression for Stochastic Computer Experiments | We report on an empirical study of the main strategies for conditional
quantile estimation in the context of stochastic computer experiments. To
ensure adequate diversity, six metamodels are presented, divided into three
categories based on order statistics, functional approaches, and those of
Bayesian inspiration. T... | 1 | 0 | 0 | 1 | 0 | 0 |
Scalability of Voltage-Controlled Filamentary and Nanometallic Resistance Memories | Much effort has been devoted to device and materials engineering to realize
nanoscale resistance random access memory (RRAM) for practical applications,
but there still lacks a rational physical basis to be relied on to design
scalable devices spanning many length scales. In particular, the critical
switching criteri... | 0 | 1 | 0 | 0 | 0 | 0 |
Functional geometry of protein-protein interaction networks | Motivation: Protein-protein interactions (PPIs) are usually modelled as
networks. These networks have extensively been studied using graphlets, small
induced subgraphs capturing the local wiring patterns around nodes in networks.
They revealed that proteins involved in similar functions tend to be similarly
wired. Ho... | 0 | 0 | 0 | 0 | 1 | 0 |
A Two-Layer Component-Based Allocation for Embedded Systems with GPUs | Component-based development is a software engineering paradigm that can
facilitate the construction of embedded systems and tackle its complexities.
The modern embedded systems have more and more demanding requirements. One way
to cope with such versatile and growing set of requirements is to employ
heterogeneous pro... | 1 | 0 | 0 | 0 | 0 | 0 |
Sales Forecast in E-commerce using Convolutional Neural Network | Sales forecast is an essential task in E-commerce and has a crucial impact on
making informed business decisions. It can help us to manage the workforce,
cash flow and resources such as optimizing the supply chain of manufacturers
etc. Sales forecast is a challenging problem in that sales is affected by many
factors ... | 1 | 0 | 0 | 0 | 0 | 0 |
On normalization of inconsistency indicators in pairwise comparisons | In this study, we provide mathematical and practice-driven justification for
using $[0,1]$ normalization of inconsistency indicators in pairwise
comparisons. The need for normalization, as well as problems with the lack of
normalization, are presented. A new type of paradox of infinity is described.
| 1 | 0 | 0 | 0 | 0 | 0 |
Gamma factors of intertwining periods and distinction for inner forms of $\GL(n)$ | Let $F$ be a $p$-adic fied, $E$ be a quadratic extension of $F$, and $D$ be
an $F$-division algebra of odd index. Set $H=\mathrm{GL}m,D)$ and
$G=\mathrm{GL}(m,D\otimes_F E)$, we carry out a fine study of local
intertwining open periods attached to $H$-distinguished induced representations
of inner forms of $G$. These... | 0 | 0 | 1 | 0 | 0 | 0 |
Spin-flip scattering selection in a controlled molecular junction | A simple double-decker molecule with magnetic anisotropy, nickelocene, is
attached to the metallic tip of a low-temperature scanning tunneling
microscope. In the presence of a Cu(100) surface, the conductance around the
Fermi energy is governed by spin-flip scattering, the nature of which is
determined by the tunneli... | 0 | 1 | 0 | 0 | 0 | 0 |
Mean-Field Sparse Jurdjevic--Quinn Control | We consider nonlinear transport equations with non-local velocity, describing
the time-evolution of a measure, which in practice may represent the density of
a crowd. Such equations often appear by taking the mean-field limit of
finite-dimensional systems modelling collective dynamics. We first give a sense
to dissip... | 0 | 0 | 1 | 0 | 0 | 0 |
Sampling from Social Networks with Attributes | Sampling from large networks represents a fundamental challenge for social
network research. In this paper, we explore the sensitivity of different
sampling techniques (node sampling, edge sampling, random walk sampling, and
snowball sampling) on social networks with attributes. We consider the special
case of networ... | 1 | 1 | 0 | 0 | 0 | 0 |
Exploiting Investors Social Network for Stock Prediction in China's Market | Recent works have shown that social media platforms are able to influence the
trends of stock price movements. However, existing works have majorly focused
on the U.S. stock market and lacked attention to certain emerging countries
such as China, where retail investors dominate the market. In this regard, as
retail i... | 0 | 0 | 0 | 0 | 0 | 1 |
Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks | Can we make a famous rap singer like Eminem sing whatever our favorite song?
Singing style transfer attempts to make this possible, by replacing the vocal
of a song from the source singer to the target singer. This paper presents a
method that learns from unpaired data for singing style transfer using
generative adve... | 1 | 0 | 0 | 0 | 0 | 0 |
A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots | We present a robust deep learning based 6 degrees-of-freedom (DoF)
localization system for endoscopic capsule robots. Our system mainly focuses on
localization of endoscopic capsule robots inside the GI tract using only visual
information captured by a mono camera integrated to the robot. The proposed
system is a 23-... | 1 | 0 | 0 | 0 | 0 | 0 |
On a cross-diffusion system arising in image denosing | We study a generalization of a cross-diffusion problem deduced from a
nonlinear complex-variable diffusion model for signal and image denoising.
We prove the existence of weak solutions of the time-independent problem with
fidelity terms under mild conditions on the data problem. Then, we show that
this translates on... | 0 | 0 | 1 | 0 | 0 | 0 |
Locally Repairable Codes with Multiple $(r_{i}, δ_{i})$-Localities | In distributed storage systems, locally repairable codes (LRCs) are
introduced to realize low disk I/O and repair cost. In order to tolerate
multiple node failures, the LRCs with \emph{$(r, \delta)$-locality} are further
proposed. Since hot data is not uncommon in a distributed storage system, both
Zeh \emph{et al.} ... | 1 | 0 | 0 | 0 | 0 | 0 |
Reconciling Enumerative and Symbolic Search in Syntax-Guided Synthesis | Syntax-guided synthesis aims to find a program satisfying semantic
specification as well as user-provided structural hypothesis. For syntax-guided
synthesis there are two main search strategies: concrete search, which
systematically or stochastically enumerates all possible solutions, and
symbolic search, which inter... | 1 | 0 | 0 | 0 | 0 | 0 |
Periodic solutions of semilinear Duffing equations with impulsive effects | In this paper we are concerned with the existence of periodic solutions for
semilinear Duffing equations with impulsive effects. Firstly for the autonomous
one, basing on Poincaré-Birkhoff twist theorem, we prove the existence of
infinitely many periodic solutions. Secondly, as for the nonautonomous case,
the impulse... | 0 | 1 | 1 | 0 | 0 | 0 |
Spectral and scattering theory for perturbed block Toeplitz operators | We analyse spectral properties of a class of compact perturbations of block
Toeplitz operators associated with analytic symbols. In particular, a limiting
absorption principle and the absence of singular continuous spectrum are shown.
The existence and the completeness of wave operators are also obtained. Our
study i... | 0 | 0 | 1 | 0 | 0 | 0 |
Robust adaptive droop control for DC microgrids | There are tradeoffs between current sharing among distributed resources and
DC bus voltage stability when conventional droop control is used in DC
microgrids. As current sharing approaches the setpoint, bus voltage deviation
increases. Previous studies have suggested using secondary control utilizing
linear controlle... | 0 | 0 | 1 | 0 | 0 | 0 |
Off-diagonal asymptotic properties of Bergman kernels associated to analytic Kähler potentials | We prove a new off-diagonal asymptotic of the Bergman kernels associated to
tensor powers of a positive line bundle on a compact Kähler manifold. We show
that if the Kähler potential is real analytic, then the Bergman kernel
accepts a complete asymptotic expansion in a neighborhood of the diagonal of
shrinking size $... | 0 | 0 | 1 | 0 | 0 | 0 |
Network Backboning with Noisy Data | Networks are powerful instruments to study complex phenomena, but they become
hard to analyze in data that contain noise. Network backbones provide a tool to
extract the latent structure from noisy networks by pruning non-salient edges.
We describe a new approach to extract such backbones. We assume that edge
weights... | 1 | 1 | 0 | 0 | 0 | 0 |
The 2017 DAVIS Challenge on Video Object Segmentation | We present the 2017 DAVIS Challenge on Video Object Segmentation, a public
dataset, benchmark, and competition specifically designed for the task of video
object segmentation. Following the footsteps of other successful initiatives,
such as ILSVRC and PASCAL VOC, which established the avenue of research in the
fields... | 1 | 0 | 0 | 0 | 0 | 0 |
How to Ask for Technical Help? Evidence-based Guidelines for Writing Questions on Stack Overflow | Context: The success of Stack Overflow and other community-based
question-and-answer (Q&A) sites depends mainly on the will of their members to
answer others' questions. In fact, when formulating requests on Q&A sites, we
are not simply seeking for information. Instead, we are also asking for other
people's help and ... | 1 | 0 | 0 | 0 | 0 | 0 |
Advanced Quantizer Designs for FDD-Based FD-MIMO Systems Using Uniform Planar Arrays | Massive multiple-input multiple-output (MIMO) systems, which utilize a large
number of antennas at the base station, are expected to enhance network
throughput by enabling improved multiuser MIMO techniques. To deploy many
antennas in reasonable form factors, base stations are expected to employ
antenna arrays in bot... | 1 | 0 | 0 | 0 | 0 | 0 |
A Novel Stretch Energy Minimization Algorithm for Equiareal Parameterizations | Surface parameterizations have been widely applied to computer graphics and
digital geometry processing. In this paper, we propose a novel stretch energy
minimization (SEM) algorithm for the computation of equiareal parameterizations
of simply connected open surfaces with a very small area distortion and a
highly imp... | 1 | 0 | 0 | 0 | 0 | 0 |
Time Complexity Analysis of a Distributed Stochastic Optimization in a Non-Stationary Environment | In this paper, we consider a distributed stochastic optimization problem
where the goal is to minimize the time average of a cost function subject to a
set of constraints on the time averages of related stochastic processes called
penalties. We assume that the state of the system is evolving in an independent
and non... | 1 | 0 | 1 | 0 | 0 | 0 |
Robust Counterfactual Inferences using Feature Learning and their Applications | In a wide variety of applications, including personalization, we want to
measure the difference in outcome due to an intervention and thus have to deal
with counterfactual inference. The feedback from a customer in any of these
situations is only 'bandit feedback' - that is, a partial feedback based on
whether we cho... | 0 | 0 | 0 | 1 | 0 | 0 |
Regularity of symbolic powers and Arboricity of matroids | Let $\Delta$ be a simplicial complex of a matroid $M$. In this paper, we
explicitly compute the regularity of all the symbolic powers of a
Stanley-Reisner ideal $I_\Delta$ in terms of combinatorial data of the matroid
$M$. In order to do that, we provide a sharp bound between the arboricity of
$M$ and the circumferen... | 0 | 0 | 1 | 0 | 0 | 0 |
Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting | We propose a max-pooling based loss function for training Long Short-Term
Memory (LSTM) networks for small-footprint keyword spotting (KWS), with low
CPU, memory, and latency requirements. The max-pooling loss training can be
further guided by initializing with a cross-entropy loss trained network. A
posterior smooth... | 1 | 0 | 0 | 1 | 0 | 0 |
On Packet Scheduling with Adversarial Jamming and Speedup | In Packet Scheduling with Adversarial Jamming packets of arbitrary sizes
arrive over time to be transmitted over a channel in which instantaneous
jamming errors occur at times chosen by the adversary and not known to the
algorithm. The transmission taking place at the time of jamming is corrupt, and
the algorithm lea... | 1 | 0 | 0 | 0 | 0 | 0 |
Coarse-Grid Computational Fluid Dynamic (CG-CFD) Error Prediction using Machine Learning | Despite the progress in high performance computing, Computational Fluid
Dynamics (CFD) simulations are still computationally expensive for many
practical engineering applications such as simulating large computational
domains and highly turbulent flows. One of the major reasons of the high
expense of CFD is the need ... | 0 | 1 | 0 | 0 | 0 | 0 |
EAC-Net: A Region-based Deep Enhancing and Cropping Approach for Facial Action Unit Detection | In this paper, we propose a deep learning based approach for facial action
unit detection by enhancing and cropping the regions of interest. The approach
is implemented by adding two novel nets (layers): the enhancing layers and the
cropping layers, to a pretrained CNN model. For the enhancing layers, we
designed an ... | 1 | 0 | 0 | 0 | 0 | 0 |
Influence of surface and bulk water ice on the reactivity of a water-forming reaction | On the surface of icy dust grains in the dense regions of the interstellar
medium a rich chemistry can take place. Due to the low temperature, reactions
that proceed via a barrier can only take place through tunneling. The reaction
H + H$_2$O$_2$ $\rightarrow$ H$_2$O + OH is such a case with a gas-phase
barrier of $\... | 0 | 1 | 0 | 0 | 0 | 0 |
Impact of energy dissipation on interface shapes and on rates for dewetting from liquid substrates | We revisit the fundamental problem of liquid-liquid dewetting and perform a
detailed comparison of theoretical predictions based on thin-film models with
experimental measurements obtained by atomic force microscopy (AFM).
Specifically, we consider the dewetting of a liquid polystyrene (PS) layer from
a liquid polyme... | 0 | 1 | 0 | 0 | 0 | 0 |
Resonance control of graphene drum resonator in nonlinear regime by standing wave of light | We demonstrate the control of resonance characteristics of a drum type
graphene mechanical resonator in nonlinear oscillation regime by the
photothermal effect, which is induced by a standing wave of light between a
graphene and a substrate. Unlike the conventional Duffing type nonlinearity,
the resonance characteris... | 0 | 1 | 0 | 0 | 0 | 0 |
Uncertainty quantification of coal seam gas production prediction using Polynomial Chaos | A surrogate model approximates a computationally expensive solver. Polynomial
Chaos is a method to construct surrogate models by summing combinations of
carefully chosen polynomials. The polynomials are chosen to respect the
probability distributions of the uncertain input variables (parameters); this
allows for both... | 0 | 0 | 1 | 0 | 0 | 0 |
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards | The most data-efficient algorithms for reinforcement learning in robotics are
model-based policy search algorithms, which alternate between learning a
dynamical model of the robot and optimizing a policy to maximize the expected
return given the model and its uncertainties. However, the current algorithms
lack an eff... | 1 | 0 | 0 | 1 | 0 | 0 |
Non-Asymptotic Analysis of Robust Control from Coarse-Grained Identification | This work explores the trade-off between the number of samples required to
accurately build models of dynamical systems and the degradation of performance
in various control objectives due to a coarse approximation. In particular, we
show that simple models can be easily fit from input/output data and are
sufficient ... | 1 | 0 | 1 | 0 | 0 | 0 |
Construction,sensitivity index, and synchronization speed of optimal networks | The stability (or instability) of synchronization is important in a number of
real world systems, including the power grid, the human brain and biological
cells. For identical synchronization, the synchronizability of a network, which
can be measured by the range of coupling strength that admits stable
synchronizatio... | 0 | 1 | 1 | 0 | 0 | 0 |
A Vorticity-Preserving Hydrodynamical Scheme for Modeling Accretion Disk Flows | Vortices, turbulence, and unsteady non-laminar flows are likely both
prominent and dynamically important features of astrophysical disks. Such
strongly nonlinear phenomena are often difficult, however, to simulate
accurately, and are generally amenable to analytic treatment only in idealized
form. In this paper, we e... | 0 | 1 | 0 | 0 | 0 | 0 |
Direct simulation of liquid-gas-solid flow with a free surface lattice Boltzmann method | Direct numerical simulation of liquid-gas-solid flows is uncommon due to the
considerable computational cost. As the grid spacing is determined by the
smallest involved length scale, large grid sizes become necessary -- in
particular if the bubble-particle aspect ratio is on the order of 10 or larger.
Hence, it arise... | 0 | 1 | 0 | 0 | 0 | 0 |
TALL: Temporal Activity Localization via Language Query | This paper focuses on temporal localization of actions in untrimmed videos.
Existing methods typically train classifiers for a pre-defined list of actions
and apply them in a sliding window fashion. However, activities in the wild
consist of a wide combination of actors, actions and objects; it is difficult
to design... | 1 | 0 | 0 | 0 | 0 | 0 |
2D granular flows with the $μ(I)$ rheology and side walls friction: a well balanced multilayer discretization | We present here numerical modelling of granular flows with the $\mu(I)$
rheology in confined channels. The contribution is twofold: (i) a model to
approximate the Navier-Stokes equations with the $\mu(I)$ rheology through an
asymptotic analysis. Under the hypothesis of a one-dimensional flow, this model
takes into ac... | 0 | 1 | 0 | 0 | 0 | 0 |
A scientists' view of scientometrics: Not everything that counts can be counted | Like it or not, attempts to evaluate and monitor the quality of academic
research have become increasingly prevalent worldwide. Performance reviews
range from at the level of individuals, through research groups and
departments, to entire universities. Many of these are informed by, or
functions of, simple scientomet... | 1 | 1 | 0 | 0 | 0 | 0 |
On analyzing and evaluating privacy measures for social networks under active attack | Widespread usage of complex interconnected social networks such as Facebook,
Twitter and LinkedIn in modern internet era has also unfortunately opened the
door for privacy violation of users of such networks by malicious entities. In
this article we investigate, both theoretically and empirically, privacy
violation m... | 1 | 0 | 0 | 0 | 0 | 0 |
Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise | Recent developments have established the vulnerability of deep reinforcement
learning to policy manipulation attacks via intentionally perturbed inputs,
known as adversarial examples. In this work, we propose a technique for
mitigation of such attacks based on addition of noise to the parameter space of
deep reinforc... | 0 | 0 | 0 | 1 | 0 | 0 |
Multi-Observation Elicitation | We study loss functions that measure the accuracy of a prediction based on
multiple data points simultaneously. To our knowledge, such loss functions have
not been studied before in the area of property elicitation or in machine
learning more broadly. As compared to traditional loss functions that take only
a single ... | 1 | 0 | 0 | 0 | 0 | 0 |
Next Stop "NoOps": Enabling Cross-System Diagnostics Through Graph-based Composition of Logs and Metrics | Performing diagnostics in IT systems is an increasingly complicated task, and
it is not doable in satisfactory time by even the most skillful operators.
Systems and their architecture change very rapidly in response to business and
user demand. Many organizations see value in the maintenance and management
model of N... | 1 | 0 | 0 | 0 | 0 | 0 |
Davenport-Heilbronn Theorems for Quotients of Class Groups | We prove a generalization of the Davenport-Heilbronn theorem to quotients of
ideal class groups of quadratic fields by the primes lying above a fixed set of
rational primes $S$. Additionally, we obtain average sizes for the relaxed
Selmer group $\mathrm{Sel}_3^S(K)$ and for
$\mathcal{O}_{K,S}^\times/(\mathcal{O}_{K,S... | 0 | 0 | 1 | 0 | 0 | 0 |
Learning Universal Adversarial Perturbations with Generative Models | Neural networks are known to be vulnerable to adversarial examples, inputs
that have been intentionally perturbed to remain visually similar to the source
input, but cause a misclassification. It was recently shown that given a
dataset and classifier, there exists so called universal adversarial
perturbations, a sing... | 1 | 0 | 0 | 1 | 0 | 0 |
Large-Scale Classification using Multinomial Regression and ADMM | We present a novel method for learning the weights in multinomial logistic
regression based on the alternating direction method of multipliers (ADMM). In
each iteration, our algorithm decomposes the training into three steps; a
linear least-squares problem for the weights, a global variable update
involving a separab... | 1 | 0 | 0 | 1 | 0 | 0 |
First order dipolar phase transition in the Dicke model with infinitely coordinated frustrating interaction | We found analytically a first order quantum phase transition in the Cooper
pair box array of $N$ low-capacitance Josephson junctions capacitively coupled
to a resonant photon in a microwave cavity. The Hamiltonian of the system maps
on the extended Dicke Hamiltonian of $N$ spins one-half with infinitely
coordinated a... | 0 | 1 | 0 | 0 | 0 | 0 |
Parsimonious Bayesian deep networks | Combining Bayesian nonparametrics and a forward model selection strategy, we
construct parsimonious Bayesian deep networks (PBDNs) that infer
capacity-regularized network architectures from the data and require neither
cross-validation nor fine-tuning when training the model. One of the two
essential components of a ... | 0 | 0 | 0 | 1 | 0 | 0 |
Learning to Play Othello with Deep Neural Networks | Achieving superhuman playing level by AlphaGo corroborated the capabilities
of convolutional neural architectures (CNNs) for capturing complex spatial
patterns. This result was to a great extent due to several analogies between Go
board states and 2D images CNNs have been designed for, in particular
translational inv... | 1 | 0 | 0 | 1 | 0 | 0 |
A causal modelling framework for reference-based imputation and tipping point analysis | We consider estimating the "de facto" or effectiveness estimand in a
randomised placebo-controlled or standard-of-care-controlled drug trial with
quantitative outcome, where participants who discontinue an investigational
treatment are not followed up thereafter. Carpenter et al (2013) proposed
reference-based imputa... | 0 | 0 | 0 | 1 | 0 | 0 |
The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race | Recent studies in social media spam and automation provide anecdotal
argumentation of the rise of a new generation of spambots, so-called social
spambots. Here, for the first time, we extensively study this novel phenomenon
on Twitter and we provide quantitative evidence that a paradigm-shift exists in
spambot design... | 1 | 0 | 0 | 0 | 0 | 0 |
Weakly-Supervised Spatial Context Networks | We explore the power of spatial context as a self-supervisory signal for
learning visual representations. In particular, we propose spatial context
networks that learn to predict a representation of one image patch from another
image patch, within the same image, conditioned on their real-valued relative
spatial offs... | 1 | 0 | 0 | 0 | 0 | 0 |
Variation of ionizing continuum: the main driver of Broad Absorption Line Variability | We present a statistical analysis of the variability of broad absorption
lines (BALs) in quasars using the large multi-epoch spectroscopic dataset of
the Sloan Digital Sky Survey Data Release 12 (SDSS DR12). We divide the sample
into two groups according to the pattern of the variation of C iv BAL with
respect to tha... | 0 | 1 | 0 | 0 | 0 | 0 |
Low Dimensional Atomic Norm Representations in Line Spectral Estimation | The line spectral estimation problem consists in recovering the frequencies
of a complex valued time signal that is assumed to be sparse in the spectral
domain from its discrete observations. Unlike the gridding required by the
classical compressed sensing framework, line spectral estimation reconstructs
signals whos... | 1 | 0 | 0 | 0 | 0 | 0 |
The Trio Identity for Quasi-Monte Carlo Error | Monte Carlo methods approximate integrals by sample averages of integrand
values. The error of Monte Carlo methods may be expressed as a trio identity:
the product of the variation of the integrand, the discrepancy of the sampling
measure, and the confounding. The trio identity has different versions,
depending on wh... | 0 | 0 | 1 | 0 | 0 | 0 |
Weak type operator Lipschitz and commutator estimates for commuting tuples | Let $f: \mathbb{R}^d \to\mathbb{R}$ be a Lipschitz function. If $B$ is a
bounded self-adjoint operator and if $\{A_k\}_{k=1}^d$ are commuting bounded
self-adjoint operators such that $[A_k,B]\in L_1(H),$ then
$$\|[f(A_1,\cdots,A_d),B]\|_{1,\infty}\leq
c(d)\|\nabla(f)\|_{\infty}\max_{1\leq k\leq d}\|[A_k,B]\|_1,$$ whe... | 0 | 0 | 1 | 0 | 0 | 0 |
Fast Spectral Ranking for Similarity Search | Despite the success of deep learning on representing images for particular
object retrieval, recent studies show that the learned representations still
lie on manifolds in a high dimensional space. This makes the Euclidean nearest
neighbor search biased for this task. Exploring the manifolds online remains
expensive ... | 1 | 0 | 0 | 0 | 0 | 0 |
Transition of multi-diffusive states in a biased periodic potential | We study a frequency-dependent damping model of hyper-diffusion within the
generalized Langevin equation. The model allows for the colored noise defined
by its spectral density, assumed to be proportional to $\omega^{\delta-1}$ at
low frequencies with $0<\delta<1$ (sub-Ohmic damping) or $1<\delta<2$
(super-Ohmic damp... | 0 | 1 | 0 | 0 | 0 | 0 |
Deformable Classifiers | Geometric variations of objects, which do not modify the object class, pose a
major challenge for object recognition. These variations could be rigid as well
as non-rigid transformations. In this paper, we design a framework for training
deformable classifiers, where latent transformation variables are introduced,
an... | 0 | 0 | 0 | 1 | 0 | 0 |
Energy Dissipation in Hamiltonian Chains of Rotators | We discuss, in the context of energy flow in high-dimensional systems and
Kolmogorov-Arnol'd-Moser (KAM) theory, the behavior of a chain of rotators
(rotors) which is purely Hamiltonian, apart from dissipation at just one end.
We derive bounds on the dissipation rate which become arbitrarily small in
certain physical... | 0 | 1 | 1 | 0 | 0 | 0 |
Computational complexity, torsion-freeness of homoclinic Floer homology, and homoclinic Morse inequalities | Floer theory was originally devised to estimate the number of 1-periodic
orbits of Hamiltonian systems. In earlier works, we constructed Floer homology
for homoclinic orbits on two dimensional manifolds using combinatorial
techniques. In the present paper, we study theoretic aspects of computational
complexity of hom... | 0 | 0 | 1 | 0 | 0 | 0 |
Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models | Bayesian inference for stochastic volatility models using MCMC methods highly
depends on actual parameter values in terms of sampling efficiency. While draws
from the posterior utilizing the standard centered parameterization break down
when the volatility of volatility parameter in the latent state equation is
small... | 0 | 0 | 0 | 1 | 0 | 0 |
Simple root flows for Hitchin representations | We study simple root flows and Liouville currents for Hitchin
representations. We show that the Liouville current is associated to the
measure of maximal entropy for a simple root flow, derive a Liouville volume
rigidity result, and construct a Liouville pressure metric on the Hitchin
component.
| 0 | 0 | 1 | 0 | 0 | 0 |
On the Origin of Deep Learning | This paper is a review of the evolutionary history of deep learning models.
It covers from the genesis of neural networks when associationism modeling of
the brain is studied, to the models that dominate the last decade of research
in deep learning like convolutional neural networks, deep belief networks, and
recurre... | 1 | 0 | 0 | 1 | 0 | 0 |
Control of Asynchronous Imitation Dynamics on Networks | Imitation is widely observed in populations of decision-making agents. Using
our recent convergence results for asynchronous imitation dynamics on networks,
we consider how such networks can be efficiently driven to a desired
equilibrium state by offering payoff incentives for using a certain strategy,
either uniform... | 1 | 1 | 0 | 0 | 0 | 0 |
Finsler structures on holomorphic Lie algebroids | Complex Finsler vector bundles have been studied mainly by T. Aikou, who
defined complex Finsler structures on holomorphic vector bundles. In this
paper, we consider the more general case of a holomorphic Lie algebroid E and
we introduce Finsler structures, partial and Chern-Finsler connections on it.
First, we recal... | 0 | 0 | 1 | 0 | 0 | 0 |
The role of complex analysis in modeling economic growth | Development and growth are complex and tumultuous processes. Modern economic
growth theories identify some key determinants of economic growth. However, the
relative importance of the determinants remains unknown, and additional
variables may help clarify the directions and dimensions of the interactions.
The novel s... | 0 | 0 | 0 | 0 | 0 | 1 |
Inputs from Hell: Generating Uncommon Inputs from Common Samples | Generating structured input files to test programs can be performed by
techniques that produce them from a grammar that serves as the specification
for syntactically correct input files. Two interesting scenarios then arise for
effective testing. In the first scenario, software engineers would like to
generate inputs... | 1 | 0 | 0 | 0 | 0 | 0 |
On equivariant formal deformation theory | Using the set-up of deformation categories of Talpo and Vistoli, we
re-interpret and generalize, in the context of cartesian morphisms in abstract
categories, some results of Rim concerning obstructions against extensions of
group actions in infinitesimal deformations. Furthermore, we observe that
finite étale coveri... | 0 | 0 | 1 | 0 | 0 | 0 |
A self-consistent cloud model for brown dwarfs and young giant exoplanets: comparison with photometric and spectroscopic observations | We developed a simple, physical and self-consistent cloud model for brown
dwarfs and young giant exoplanets. We compared different parametrisations for
the cloud particle size, by either fixing particle radii, or fixing the mixing
efficiency (parameter fsed) or estimating particle radii from simple
microphysics. The ... | 0 | 1 | 0 | 0 | 0 | 0 |
Consistency Between the Luminosity Function of Resolved Millisecond Pulsars and the Galactic Center Excess | Fermi Large Area Telescope data reveal an excess of GeV gamma rays from the
direction of the Galactic Center and bulge. Several explanations have been
proposed for this excess including an unresolved population of millisecond
pulsars (MSPs) and self-annihilating dark matter. It has been claimed that a
key discriminan... | 0 | 1 | 0 | 0 | 0 | 0 |
First functionality tests of a 64 x 64 pixel DSSC sensor module connected to the complete ladder readout | The European X-ray Free Electron Laser (XFEL.EU) will provide every 0.1 s a
train of 2700 spatially coherent ultrashort X-ray pulses at 4.5 MHz repetition
rate. The Small Quantum Systems (SQS) instrument and the Spectroscopy and
Coherent Scattering instrument (SCS) operate with soft X-rays between 0.5 keV -
6keV. The... | 0 | 1 | 0 | 0 | 0 | 0 |
Label Propagation on K-partite Graphs with Heterophily | In this paper, for the first time, we study label propagation in
heterogeneous graphs under heterophily assumption. Homophily label propagation
(i.e., two connected nodes share similar labels) in homogeneous graph (with
same types of vertices and relations) has been extensively studied before.
Unfortunately, real-lif... | 1 | 0 | 0 | 0 | 0 | 0 |
On LoRaWAN Scalability: Empirical Evaluation of Susceptibility to Inter-Network Interference | Appearing on the stage quite recently, the Low Power Wide Area Networks
(LPWANs) are currently getting much of attention. In the current paper we study
the susceptibility of one LPWAN technology, namely LoRaWAN, to the
inter-network interferences. By means of excessive empirical measurements
employing the certified c... | 1 | 0 | 0 | 0 | 0 | 0 |
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution | The impacts of climate change are felt by most critical systems, such as
infrastructure, ecological systems, and power-plants. However, contemporary
Earth System Models (ESM) are run at spatial resolutions too coarse for
assessing effects this localized. Local scale projections can be obtained using
statistical downs... | 1 | 0 | 0 | 0 | 0 | 0 |
Statistical analysis of the ambiguities in the asteroid period determinations | Among asteroids there exist ambiguities in their rotation period
determinations. They are due to incomplete coverage of the rotation, noise
and/or aliases resulting from gaps between separate lightcurves. To help to
remove such uncertainties, basic characteristic of the lightcurves resulting
from constraints imposed ... | 0 | 1 | 0 | 0 | 0 | 0 |
The Assistive Multi-Armed Bandit | Learning preferences implicit in the choices humans make is a well studied
problem in both economics and computer science. However, most work makes the
assumption that humans are acting (noisily) optimally with respect to their
preferences. Such approaches can fail when people are themselves learning about
what they ... | 1 | 0 | 0 | 1 | 0 | 0 |
Localized Manifold Harmonics for Spectral Shape Analysis | The use of Laplacian eigenfunctions is ubiquitous in a wide range of computer
graphics and geometry processing applications. In particular, Laplacian
eigenbases allow generalizing the classical Fourier analysis to manifolds. A
key drawback of such bases is their inherently global nature, as the Laplacian
eigenfunctio... | 1 | 0 | 0 | 0 | 0 | 0 |
How to Search the Internet Archive Without Indexing It | Significant parts of cultural heritage are produced on the web during the
last decades. While easy accessibility to the current web is a good baseline,
optimal access to the past web faces several challenges. This includes dealing
with large-scale web archive collections and lacking of usage logs that contain
implici... | 1 | 0 | 0 | 0 | 0 | 0 |
Quantum Dot at a Luttinger liquid edge - Exact solution via Bethe Ansatz | We study a system consisting of a Luttinger liquid coupled to a quantum dot
on the boundary. The Luttinger liquid is expressed in terms of fermions
interacting via density-density coupling and the dot is modeled as an
interacting resonant level on to which the bulk fermions can tunnel. We solve
the Hamiltonian exactl... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal Jittered Sampling for two Points in the Unit Square | Jittered Sampling is a refinement of the classical Monte Carlo sampling
method. Instead of picking $n$ points randomly from $[0,1]^2$, one partitions
the unit square into $n$ regions of equal measure and then chooses a point
randomly from each partition. Currently, no good rules for how to partition the
space are ava... | 0 | 0 | 1 | 0 | 0 | 0 |
Brain structural connectivity atrophy in Alzheimer's disease | Analysis and quantification of brain structural changes, using Magnetic
resonance imaging (MRI), are increasingly used to define novel biomarkers of
brain pathologies, such as Alzheimer's disease (AD). Network-based models of
the brain have shown that both local and global topological properties can
reveal patterns o... | 0 | 1 | 0 | 0 | 0 | 0 |
Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry | This work proposes a visual odometry method that combines points and plane
primitives, extracted from a noisy depth camera. Depth measurement uncertainty
is modelled and propagated through the extraction of geometric primitives to
the frame-to-frame motion estimation, where pose is optimized by weighting the
residual... | 1 | 0 | 0 | 0 | 0 | 0 |
Autoignition of Butanol Isomers at Low to Intermediate Temperature and Elevated Pressure | Autoignition delay experiments for the isomers of butanol, including n-,
sec-, tert-, and iso-butanol, have been performed using a heated rapid
compression machine. For a compressed pressure of 15 bar, the compressed
temperatures have been varied in the range of 725-855 K for all the
stoichiometric fuel/oxidizer mixt... | 0 | 1 | 0 | 0 | 0 | 0 |
On the $k$-abelian complexity of the Cantor sequence | In this paper, we prove that for every integer $k \geq 1$, the $k$-abelian
complexity function of the Cantor sequence $\mathbf{c} = 101000101\cdots$ is a
$3$-regular sequence.
| 1 | 0 | 1 | 0 | 0 | 0 |
Sharp rates of convergence for accumulated spectrograms | We investigate an inverse problem in time-frequency localization: the
approximation of the symbol of a time-frequency localization operator from
partial spectral information by the method of accumulated spectrograms (the sum
of the spectrograms corresponding to large eigenvalues). We derive a sharp
bound for the rate... | 0 | 0 | 1 | 0 | 0 | 0 |
Putting a Face to the Voice: Fusing Audio and Visual Signals Across a Video to Determine Speakers | In this paper, we present a system that associates faces with voices in a
video by fusing information from the audio and visual signals. The thesis
underlying our work is that an extremely simple approach to generating (weak)
speech clusters can be combined with visual signals to effectively associate
faces and voice... | 1 | 0 | 0 | 0 | 0 | 0 |
Topological Interplay between Knots and Entangled Vortex-Membranes | In this paper, the Kelvin wave and knot dynamics are studied on three
dimensional smoothly deformed entangled vortex-membranes in five dimensional
space. Owing to the existence of local Lorentz invariance and diffeomorphism
invariance, in continuum limit gravity becomes an emergent phenomenon on 3+1
dimensional zero-... | 0 | 1 | 0 | 0 | 0 | 0 |
The first and second fundamental theorems of invariant theory for the quantum general linear supergroup | We develop the non-commutative polynomial version of the invariant theory for
the quantum general linear supergroup ${\rm{ U}}_q(\mathfrak{gl}_{m|n})$. A
non-commutative ${\rm{ U}}_q(\mathfrak{gl}_{m|n})$-module superalgebra
$\mathcal{P}^{k|l}_{\,r|s}$ is constructed, which is the quantum analogue of
the supersymmetr... | 0 | 0 | 1 | 0 | 0 | 0 |
Poly-Spline Finite Element Method | We introduce an integrated meshing and finite element method pipeline
enabling black-box solution of partial differential equations in the volume
enclosed by a boundary representation. We construct a hybrid
hexahedral-dominant mesh, which contains a small number of star-shaped
polyhedra, and build a set of high-order... | 1 | 0 | 0 | 0 | 0 | 0 |
Turing Completeness of Finite, Epistemic Programs | In this note, we show the class of finite, epistemic programs to be Turing
complete. Epistemic programs is a widely used update mechanism used in
epistemic logic, where it such are a special type of action models: One which
does not contain postconditions.
| 1 | 0 | 0 | 0 | 0 | 0 |
Spontaneous domain formation in disordered copolymers as a mechanism for chromosome structuring | Motivated by the problem of domain formation in chromosomes, we studied a
co--polymer model where only a subset of the monomers feel attractive
interactions. These monomers are displaced randomly from a regularly-spaced
pattern, thus introducing some quenched disorder in the system. Previous work
has shown that in th... | 0 | 0 | 0 | 0 | 1 | 0 |
Reconstruction of Correlated Sources with Energy Harvesting Constraints in Delay-constrained and Delay-tolerant Communication Scenarios | In this paper, we investigate the reconstruction of time-correlated sources
in a point-to-point communications scenario comprising an energy-harvesting
sensor and a Fusion Center (FC). Our goal is to minimize the average distortion
in the reconstructed observations by using data from previously encoded sources
as sid... | 1 | 0 | 0 | 0 | 0 | 0 |
Future of Flexible Robotic Endoscopy Systems | Robotics enables a variety of unconventional actuation strategies to be used
for endoscopes, resulting in reduced trauma to the GI tract. For transmission
of force to distally mounted endoscopic instruments, robotically actuated
tendon sheath mechanisms are the current state of the art. Robotics in surgical
endoscopy... | 1 | 1 | 0 | 0 | 0 | 0 |
Shear-driven parametric instability in a precessing sphere | The present numerical study aims at shedding light on the mechanism
underlying the precessional instability in a sphere. Precessional instabilities
in the form of parametric resonance due to topographic coupling have been
reported in a spheroidal geometry both analytically and numerically. We show
that such parametri... | 0 | 1 | 0 | 0 | 0 | 0 |
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