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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Tangle-tree duality in abstract separation systems | We prove a general width duality theorem for combinatorial structures with
well-defined notions of cohesion and separation. These might be graphs and
matroids, but can be much more general or quite different. The theorem asserts
a duality between the existence of high cohesiveness somewhere local and a
global overall... | 0 | 0 | 1 | 0 | 0 | 0 |
Attention-Based Guided Structured Sparsity of Deep Neural Networks | Network pruning is aimed at imposing sparsity in a neural network
architecture by increasing the portion of zero-valued weights for reducing its
size regarding energy-efficiency consideration and increasing evaluation speed.
In most of the conducted research efforts, the sparsity is enforced for network
pruning witho... | 0 | 0 | 0 | 1 | 0 | 0 |
A Graph Model with Indirect Co-location Links | Graph models are widely used to analyse diffusion processes embedded in
social contacts and to develop applications. A range of graph models are
available to replicate the underlying social structures and dynamics
realistically. However, most of the current graph models can only consider
concurrent interactions among... | 1 | 0 | 0 | 0 | 0 | 0 |
Essentially No Barriers in Neural Network Energy Landscape | Training neural networks involves finding minima of a high-dimensional
non-convex loss function. Knowledge of the structure of this energy landscape
is sparse. Relaxing from linear interpolations, we construct continuous paths
between minima of recent neural network architectures on CIFAR10 and CIFAR100.
Surprisingly... | 0 | 0 | 0 | 1 | 0 | 0 |
Homogenization of nonlinear elliptic systems in nonreflexive Musielak-Orlicz spaces | We study the homogenization process for families of strongly nonlinear
elliptic systems with the homogeneous Dirichlet boundary conditions. The growth
and the coercivity of the elliptic operator is assumed to be indicated by a
general inhomogeneous anisotropic $N-$function, which may be possibly also
dependent on the... | 0 | 0 | 1 | 0 | 0 | 0 |
A Generalization of Permanent Inequalities and Applications in Counting and Optimization | A polynomial $p\in\mathbb{R}[z_1,\dots,z_n]$ is real stable if it has no
roots in the upper-half complex plane. Gurvits's permanent inequality gives a
lower bound on the coefficient of the $z_1z_2\dots z_n$ monomial of a real
stable polynomial $p$ with nonnegative coefficients. This fundamental
inequality has been us... | 1 | 0 | 1 | 0 | 0 | 0 |
Proceedings Fifth International Workshop on Verification and Program Transformation | This volume contains the proceedings of the Fifth International Workshop on
Verification and Program Transformation (VPT 2017). The workshop took place in
Uppsala, Sweden, on April 29th, 2017, affiliated with the European Joint
Conferences on Theory and Practice of Software (ETAPS). The aim of the VPT
workshop series... | 1 | 0 | 0 | 0 | 0 | 0 |
H-infinity Filtering for Cloud-Aided Semi-active Suspension with Delayed Information | This chapter presents an H-infinity filtering framework for cloud-aided
semiactive suspension system with time-varying delays. In this system, road
profile information is downloaded from a cloud database to facilitate onboard
estimation of suspension states. Time-varying data transmission delays are
considered and as... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation | In this work we introduce a time- and memory-efficient method for structured
prediction that couples neuron decisions across both space at time. We show
that we are able to perform exact and efficient inference on a densely
connected spatio-temporal graph by capitalizing on recent advances on deep
Gaussian Conditiona... | 0 | 0 | 0 | 1 | 0 | 0 |
A Coherent vorticity preserving eddy viscosity correction for Large-Eddy Simulation | This paper introduces a new approach to Large-Eddy Simulation (LES) where
subgrid-scale (SGS) dissipation is applied proportionally to the degree of
local spectral broadening, hence mitigated or deactivated in regions dominated
by large-scale and/or laminar vortical motion. The proposed Coherent vorticity
preserving ... | 1 | 1 | 0 | 0 | 0 | 0 |
A Universal Marginalizer for Amortized Inference in Generative Models | We consider the problem of inference in a causal generative model where the
set of available observations differs between data instances. We show how
combining samples drawn from the graphical model with an appropriate masking
function makes it possible to train a single neural network to approximate all
the correspo... | 1 | 0 | 0 | 1 | 0 | 0 |
Approximating the Backbone in the Weighted Maximum Satisfiability Problem | The weighted Maximum Satisfiability problem (weighted MAX-SAT) is a NP-hard
problem with numerous applications arising in artificial intelligence. As an
efficient tool for heuristic design, the backbone has been applied to
heuristics design for many NP-hard problems. In this paper, we investigated the
computational c... | 1 | 0 | 0 | 0 | 0 | 0 |
Fulde-Ferrell-Larkin-Ovchinnikov state in spin-orbit-coupled superconductors | We show that in the presence of magnetic field, two superconducting phases
with the center-of-mass momentum of Cooper pair parallel to the magnetic field
are induced in spin-orbit-coupled superconductor Li$_2$Pd$_3$B. Specifically,
at small magnetic field, the center-of-mass momentum is induced due to the
energy-spec... | 0 | 1 | 0 | 0 | 0 | 0 |
New type integral inequalities for convex functions with applications II | We have recently established some integral inequalities for convex functions
via the Hermite-Hadamard's inequalities. In continuation here, we also
establish some interesting new integral inequalities for convex functions via
the Hermite--Hadamard's inequalities and Jensen's integral inequality. Useful
applications i... | 0 | 0 | 1 | 0 | 0 | 0 |
Geometric Insights into Support Vector Machine Behavior using the KKT Conditions | The support vector machine (SVM) is a powerful and widely used classification
algorithm. This paper uses the Karush-Kuhn-Tucker conditions to provide
rigorous mathematical proof for new insights into the behavior of SVM. These
insights provide perhaps unexpected relationships between SVM and two other
linear classifi... | 0 | 0 | 0 | 1 | 0 | 0 |
Smart Grids Data Analysis: A Systematic Mapping Study | Data analytics and data science play a significant role in nowadays society.
In the context of Smart Grids (SG), the collection of vast amounts of data has
seen the emergence of a plethora of data analysis approaches. In this paper, we
conduct a Systematic Mapping Study (SMS) aimed at getting insights about
different... | 1 | 0 | 0 | 0 | 0 | 0 |
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints | In this paper, we present a new task that investigates how people interact
with and make judgments about towers of blocks. In Experiment~1, participants
in the lab solved a series of problems in which they had to re-configure three
blocks from an initial to a final configuration. We recorded whether they used
one han... | 1 | 0 | 0 | 1 | 0 | 0 |
Complex Networks: from Classical to Quantum | Recent progress in applying complex network theory to problems faced in
quantum information and computation has resulted in a beneficial crossover
between two fields. Complex network methods have successfully been used to
characterize quantum walk and transport models, entangled communication
networks, graph-theoreti... | 1 | 1 | 0 | 0 | 0 | 0 |
On the K-theory of C*-algebras for substitution tilings (a pedestrian version) | Under suitable conditions, a substitution tiling gives rise to a Smale space,
from which three equivalence relations can be constructed, namely the stable,
unstable, and asymptotic equivalence relations. We denote with $S$, $U$, and
$A$ their corresponding $C^*$-algebras in the sense of Renault. In this article
we sh... | 0 | 0 | 1 | 0 | 0 | 0 |
The Tutte embedding of the mated-CRT map converges to Liouville quantum gravity | We prove that the Tutte embeddings (a.k.a. harmonic/embeddings) of certain
random planar maps converge to $\gamma$-Liouville quantum gravity
($\gamma$-LQG). Specifically, we treat mated-CRT maps, which are discretized
matings of correlated continuum random trees, and $\gamma$ ranges from $0$ to
$2$ as one varies the ... | 0 | 0 | 1 | 0 | 0 | 0 |
On the Computation of the Shannon Capacity of a Discrete Channel with Noise | Muroga [M52] showed how to express the Shannon channel capacity of a discrete
channel with noise [S49] as an explicit function of the transition
probabilities. His method accommodates channels with any finite number of input
symbols, any finite number of output symbols and any transition probability
matrix. Silverman... | 1 | 0 | 0 | 0 | 0 | 0 |
Gorenstein homological properties of tensor rings | Let $R$ be a two-sided noetherian ring and $M$ be a nilpotent $R$-bimodule,
which is finitely generated on both sides. We study Gorenstein homological
properties of the tensor ring $T_R(M)$. Under certain conditions, the ring $R$
is Gorenstein if and only if so is $T_R(M)$. We characterize Gorenstein
projective $T_R(... | 0 | 0 | 1 | 0 | 0 | 0 |
Compositional Human Pose Regression | Regression based methods are not performing as well as detection based
methods for human pose estimation. A central problem is that the structural
information in the pose is not well exploited in the previous regression
methods. In this work, we propose a structure-aware regression approach. It
adopts a reparameteriz... | 1 | 0 | 0 | 0 | 0 | 0 |
Stochastic functional differential equations and sensitivity to their initial path | We consider systems with memory represented by stochastic functional
differential equations. Substantially, these are stochastic differential
equations with coefficients depending on the past history of the process
itself. Such coefficients are hence defined on a functional space. Models with
memory appear in many ap... | 0 | 0 | 1 | 0 | 0 | 0 |
Remarks on Inner Functions and Optimal Approximants | We discuss the concept of inner function in reproducing kernel Hilbert spaces
with an orthogonal basis of monomials and examine connections between inner
functions and optimal polynomial approximants to $1/f$, where $f$ is a function
in the space. We revisit some classical examples from this perspective, and
show how... | 0 | 0 | 1 | 0 | 0 | 0 |
A Stochastic Model for File Lifetime and Security in Data Center Networks | Data center networks are an important infrastructure in various applications
of modern information technologies. Note that each data center always has a
finite lifetime, thus once a data center fails, then it will lose all its
storage files and useful information. For this, it is necessary to replicate
and copy each ... | 1 | 0 | 0 | 0 | 0 | 0 |
Asymptotic Confidence Regions for High-dimensional Structured Sparsity | In the setting of high-dimensional linear regression models, we propose two
frameworks for constructing pointwise and group confidence sets for penalized
estimators which incorporate prior knowledge about the organization of the
non-zero coefficients. This is done by desparsifying the estimator as in van de
Geer et a... | 0 | 0 | 1 | 1 | 0 | 0 |
Building a Structured Query Engine | Finding patterns in data and being able to retrieve information from those
patterns is an important task in Information retrieval. Complex search
requirements which are not fulfilled by simple string matching and require
exploring certain patterns in data demand a better query engine that can
support searching via st... | 1 | 0 | 0 | 0 | 0 | 0 |
A Theoretical Perspective of Solving Phaseless Compressed Sensing via Its Nonconvex Relaxation | As a natural extension of compressive sensing and the requirement of some
practical problems, Phaseless Compressed Sensing (PCS) has been introduced and
studied recently. Many theoretical results have been obtained for PCS with the
aid of its convex relaxation. Motivated by successful applications of nonconvex
relaxe... | 0 | 0 | 1 | 0 | 0 | 0 |
A Comprehensive Study of Ly$α$ Emission in the High-redshift Galaxy Population | We present an exhaustive census of Lyman alpha (Ly$\alpha$) emission in the
general galaxy population at $3<z<4.6$. We use the Michigan/Magellan Fiber
System (M2FS) spectrograph to study a stellar mass (M$_*$) selected sample of
625 galaxies homogeneously distributed in the range
$7.6<\log{\mbox{M$_*$/M$_{\odot}$}}<1... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal Timing of Decisions: A General Theory Based on Continuation Values | Building on insights of Jovanovic (1982) and subsequent authors, we develop a
comprehensive theory of optimal timing of decisions based around continuation
value functions and operators that act on them. Optimality results are provided
under general settings, with bounded or unbounded reward functions. This
approach ... | 0 | 0 | 1 | 0 | 0 | 0 |
OSIRIS-REx Contamination Control Strategy and Implementation | OSIRIS-REx will return pristine samples of carbonaceous asteroid Bennu. This
article describes how pristine was defined based on expectations of Bennu and
on a realistic understanding of what is achievable with a constrained schedule
and budget, and how that definition flowed to requirements and implementation.
To re... | 0 | 1 | 0 | 0 | 0 | 0 |
Linear Stochastic Approximation: Constant Step-Size and Iterate Averaging | We consider $d$-dimensional linear stochastic approximation algorithms (LSAs)
with a constant step-size and the so called Polyak-Ruppert (PR) averaging of
iterates. LSAs are widely applied in machine learning and reinforcement
learning (RL), where the aim is to compute an appropriate $\theta_{*} \in
\mathbb{R}^d$ (th... | 1 | 0 | 0 | 1 | 0 | 0 |
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval | We study the fundamental tradeoffs between statistical accuracy and
computational tractability in the analysis of high dimensional heterogeneous
data. As examples, we study sparse Gaussian mixture model, mixture of sparse
linear regressions, and sparse phase retrieval model. For these models, we
exploit an oracle-bas... | 0 | 0 | 0 | 1 | 0 | 0 |
Modality Attention for End-to-End Audio-visual Speech Recognition | Audio-visual speech recognition (AVSR) system is thought to be one of the
most promising solutions for robust speech recognition, especially in noisy
environment. In this paper, we propose a novel multimodal attention based
method for audio-visual speech recognition which could automatically learn the
fused represent... | 1 | 0 | 0 | 0 | 0 | 0 |
Affine Rough Models | The goal of this survey article is to explain and elucidate the affine
structure of recent models appearing in the rough volatility literature, and
show how it leads to exponential-affine transform formulas.
| 0 | 0 | 0 | 0 | 0 | 1 |
When flux standards go wild: white dwarfs in the age of Kepler | White dwarf stars have been used as flux standards for decades, thanks to
their staid simplicity. We have empirically tested their photometric stability
by analyzing the light curves of 398 high-probability candidates and
spectroscopically confirmed white dwarfs observed during the original Kepler
mission and later w... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-view Low-rank Sparse Subspace Clustering | Most existing approaches address multi-view subspace clustering problem by
constructing the affinity matrix on each view separately and afterwards propose
how to extend spectral clustering algorithm to handle multi-view data. This
paper presents an approach to multi-view subspace clustering that learns a
joint subspa... | 1 | 0 | 0 | 1 | 0 | 0 |
Single-trial P300 Classification using PCA with LDA, QDA and Neural Networks | The P300 event-related potential (ERP), evoked in scalp-recorded
electroencephalography (EEG) by external stimuli, has proven to be a reliable
response for controlling a BCI. The P300 component of an event related
potential is thus widely used in brain-computer interfaces to translate the
subjects' intent by mere tho... | 1 | 0 | 0 | 1 | 0 | 0 |
Stable representations of posets | The purpose of this paper is to study stable representations of partially
ordered sets (posets) and compare it to the well known theory for quivers. In
particular, we prove that every indecomposable representation of a poset of
finite type is stable with respect to some weight and construct that weight
explicitly in ... | 0 | 0 | 1 | 0 | 0 | 0 |
Automatic segmentation of trees in dynamic outdoor environments | Segmentation in dynamic outdoor environments can be difficult when the
illumination levels and other aspects of the scene cannot be controlled.
Specifically in orchard and vineyard automation contexts, a background material
is often used to shield a camera's field of view from other rows of crops. In
this paper, we d... | 1 | 0 | 0 | 0 | 0 | 0 |
A Practical Bandit Method with Advantages in Neural Network Tuning | Stochastic bandit algorithms can be used for challenging non-convex
optimization problems. Hyperparameter tuning of neural networks is particularly
challenging, necessitating new approaches. To this end, we present a method
that adaptively partitions the combined space of hyperparameters, context, and
training resour... | 1 | 0 | 0 | 1 | 0 | 0 |
Dynamic Security Analysis of Power Systems by a Sampling-Based Algorithm | Dynamic security analysis is an important problem of power systems on
ensuring safe operation and stable power supply even when certain faults occur.
No matter such faults are caused by vulnerabilities of system components,
physical attacks, or cyber-attacks that are more related to cyber-security,
they eventually af... | 1 | 0 | 0 | 0 | 0 | 0 |
Stochastic and Chance-Constrained Conic Distribution System Expansion Planning Using Bilinear Benders Decomposition | Second order conic programming (SOCP) has been used to model various
applications in power systems, such as operation and expansion planning. In
this paper, we present a two-stage stochastic mixed integer SOCP (MISOCP) model
for the distribution system expansion planning problem that considers
uncertainty and also ca... | 0 | 0 | 1 | 0 | 0 | 0 |
Multi-Hop Extensions of Energy-Efficient Wireless Sensor Network Time Synchronization | We present the multi-hop extensions of the recently proposed energy-efficient
time synchronization scheme for wireless sensor networks, which is based on the
asynchronous source clock frequency recovery and reversed two-way message
exchanges. We consider two hierarchical extensions based on packet relaying and
time-t... | 1 | 0 | 0 | 0 | 0 | 0 |
Value added or misattributed? A multi-institution study on the educational benefit of labs for reinforcing physics content | Instructional labs are widely seen as a unique, albeit expensive, way to
teach scientific content. We measured the effectiveness of introductory lab
courses at achieving this educational goal across nine different lab courses at
three very different institutions. These institutions and courses encompassed a
broad ran... | 0 | 1 | 0 | 0 | 0 | 0 |
Smoothed Noise and Mexican Hat Coupling Produce Pattern in a Stochastic Neural Field | The formation of pattern in biological systems may be modeled by a set of
reaction-diffusion equations. A diffusion-type coupling operator biologically
significant in neuroscience is a difference of Gaussian functions (Mexican Hat
operator) used as a spatial-convolution kernel. We are interested in the
difference amo... | 0 | 0 | 0 | 0 | 1 | 0 |
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks | Named-entity recognition (NER) aims at identifying entities of interest in a
text. Artificial neural networks (ANNs) have recently been shown to outperform
existing NER systems. However, ANNs remain challenging to use for non-expert
users. In this paper, we present NeuroNER, an easy-to-use named-entity
recognition to... | 1 | 0 | 0 | 1 | 0 | 0 |
Macro diversity in Cellular Networks with Random Blockages | Blocking objects (blockages) between a transmitter and receiver cause
wireless communication links to transition from line-of-sight (LOS) to
non-line-of-sight (NLOS) propagation, which can greatly reduce the received
power, particularly at higher frequencies such as millimeter wave (mmWave). We
consider a cellular ne... | 1 | 0 | 1 | 0 | 0 | 0 |
Opinion dynamics model based on cognitive biases | We present an introduction to a novel model of an individual and group
opinion dynamics, taking into account different ways in which different sources
of information are filtered due to cognitive biases. The agent based model,
using Bayesian updating of the individual belief distribution, is based on the
recent psych... | 1 | 1 | 0 | 0 | 0 | 0 |
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness | Convolutional Neural Networks (CNNs) are commonly thought to recognise
objects by learning increasingly complex representations of object shapes. Some
recent studies suggest a more important role of image textures. We here put
these conflicting hypotheses to a quantitative test by evaluating CNNs and
human observers ... | 0 | 0 | 0 | 0 | 1 | 0 |
Explicit evaluation of harmonic sums | In this paper, we obtain some formulae for harmonic sums, alternating
harmonic sums and Stirling number sums by using the method of integral
representations of series. As applications of these formulae, we give explicit
formula of several quadratic and cubic Euler sums through zeta values and
linear sums. Furthermore... | 0 | 0 | 1 | 0 | 0 | 0 |
Complete Cyclic Proof Systems for Inductive Entailments | In this paper we develop cyclic proof systems for the problem of inclusion
between the least sets of models of mutually recursive predicates, when the
ground constraints in the inductive definitions belong to the quantifier-free
fragments of (i) First Order Logic with the canonical Herbrand interpretation
and (ii) Se... | 1 | 0 | 0 | 0 | 0 | 0 |
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning | In this paper, we introduce a new model for leveraging unlabeled data to
improve generalization performances of image classifiers: a two-branch
encoder-decoder architecture called HybridNet. The first branch receives
supervision signal and is dedicated to the extraction of invariant
class-related representations. The... | 0 | 0 | 0 | 1 | 0 | 0 |
Learning Distributed Representations of Texts and Entities from Knowledge Base | We describe a neural network model that jointly learns distributed
representations of texts and knowledge base (KB) entities. Given a text in the
KB, we train our proposed model to predict entities that are relevant to the
text. Our model is designed to be generic with the ability to address various
NLP tasks with ea... | 1 | 0 | 0 | 0 | 0 | 0 |
Moduli Spaces of Unordered $n\ge5$ Points on the Riemann Sphere and Their Singularities | For $n\ge5$, it is well known that the moduli space $\mathfrak{M_{0,\:n}}$ of
unordered $n$ points on the Riemann sphere is a quotient space of the Zariski
open set $K_n$ of $\mathbb C^{n-3}$ by an $S_n$ action. The stabilizers of this
$S_n$ action at certain points of this Zariski open set $K_n$ correspond to the
gr... | 0 | 0 | 1 | 0 | 0 | 0 |
Multipath Error Correction in Radio Interferometric Positioning Systems | The radio interferometric positioning system (RIPS) is an accurate node
localization method featuring a novel phase-based ranging process. Multipath is
the limiting error source for RIPS in ground-deployed scenarios or indoor
applications. There are four distinct channels involved in the ranging process
for RIPS. Mul... | 1 | 0 | 0 | 0 | 0 | 0 |
An evaluation homomorphism for quantum toroidal gl(n) algebras | We present an affine analog of the evaluation map for quantum groups. Namely
we introduce a surjective homomorphism from the quantum toroidal gl(n) algebra
to the quantum affine gl(n) algebra completed with respect to the homogeneous
grading. We give a brief discussion of evaluation modules.
| 0 | 0 | 1 | 0 | 0 | 0 |
A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms | In this paper we present a framework for risk-sensitive model predictive
control (MPC) of linear systems affected by stochastic multiplicative
uncertainty. Our key innovation is to consider a time-consistent, dynamic risk
evaluation of the cumulative cost as the objective function to be minimized.
This framework is a... | 1 | 0 | 1 | 0 | 0 | 0 |
Monitoring Telluric Absorption with CAMAL | Ground-based astronomical observations may be limited by telluric water vapor
absorption, which is highly variable in time and significantly complicates both
spectroscopy and photometry in the near-infrared (NIR). To achieve the
sensitivity required to detect Earth-sized exoplanets in the NIR, simultaneous
monitoring... | 0 | 1 | 0 | 0 | 0 | 0 |
Common Knowledge in a Logic of Gossips | Gossip protocols aim at arriving, by means of point-to-point or group
communications, at a situation in which all the agents know each other secrets.
Recently a number of authors studied distributed epistemic gossip protocols.
These protocols use as guards formulas from a simple epistemic logic, which
makes their ana... | 1 | 0 | 0 | 0 | 0 | 0 |
Network-theoretic approach to sparsified discrete vortex dynamics | We examine discrete vortex dynamics in two-dimensional flow through a
network-theoretic approach. The interaction of the vortices is represented with
a graph, which allows the use of network-theoretic approaches to identify key
vortex-to-vortex interactions. We employ sparsification techniques on these
graph represen... | 0 | 1 | 0 | 0 | 0 | 0 |
Bäcklund Transformation and Quasi-Integrable Deformation of Mixed Fermi-Pasta-Ulam and Frenkel-Kontorova Models | In this paper we study a non-linear partial differential equation (PDE),
proposed by N. Kudryashov [arXiv:1611.06813v1[nlin.SI]], using continuum limit
approximation of mixed Fermi-Pasta-Ulam and Frenkel-Kontorova Models. This
generalized semi-discrete equation can be considered as a model for the
description of non-... | 0 | 1 | 1 | 0 | 0 | 0 |
Data-Mining Textual Responses to Uncover Misconception Patterns | An important, yet largely unstudied, problem in student data analysis is to
detect misconceptions from students' responses to open-response questions.
Misconception detection enables instructors to deliver more targeted feedback
on the misconceptions exhibited by many students in their class, thus improving
the quali... | 1 | 0 | 0 | 1 | 0 | 0 |
Symmetries of handlebodies and their fixed points: Dihedral extended Schottky groups | A Schottky structure on a handlebody $M$ of genus $g$ is provided by a
Schottky group of rank $g$. A symmetry (an orientation-reversing involution) of
$M$ is known to have at most $(g+1)$ connected components of fixed points. Each
of these components is either a point or a compact bordered surface (either
orientable ... | 0 | 0 | 1 | 0 | 0 | 0 |
Speaker Diarization using Deep Recurrent Convolutional Neural Networks for Speaker Embeddings | In this paper we propose a new method of speaker diarization that employs a
deep learning architecture to learn speaker embeddings. In contrast to the
traditional approaches that build their speaker embeddings using manually
hand-crafted spectral features, we propose to train for this purpose a
recurrent convolutiona... | 1 | 0 | 0 | 0 | 0 | 0 |
A Robust Multi-Batch L-BFGS Method for Machine Learning | This paper describes an implementation of the L-BFGS method designed to deal
with two adversarial situations. The first occurs in distributed computing
environments where some of the computational nodes devoted to the evaluation of
the function and gradient are unable to return results on time. A similar
challenge oc... | 1 | 0 | 1 | 1 | 0 | 0 |
Network of vertically c-oriented prism shaped InN nanowalls grown on c-GaN/sapphire template by chemical vapor deposition technique | Networks of vertically c-oriented prism shaped InN nanowalls, are grown on
c-GaN/sapphire templates using a CVD technique, where pure indium and ammonia
are used as metal and nitrogen precursors. A systematic study of the growth,
structural and electronic properties of these samples shows a preferential
growth of the... | 0 | 1 | 0 | 0 | 0 | 0 |
Enhanced version of AdaBoostM1 with J48 Tree learning method | Machine Learning focuses on the construction and study of systems that can
learn from data. This is connected with the classification problem, which
usually is what Machine Learning algorithms are designed to solve. When a
machine learning method is used by people with no special expertise in machine
learning, it is ... | 0 | 0 | 0 | 1 | 0 | 0 |
A Game of Tax Evasion: evidences from an agent-based model | This paper presents a simple agent-based model of an economic system,
populated by agents playing different games according to their different view
about social cohesion and tax payment. After a first set of simulations,
correctly replicating results of existing literature, a wider analysis is
presented in order to s... | 0 | 0 | 0 | 0 | 0 | 1 |
Variability response functions for statically determinate beams with arbitrary nonlinear constitutive laws | The variability response function (VRF) is generalized to statically
determinate Euler Bernoulli beams with arbitrary stress-strain laws following
Cauchy elastic behavior. The VRF is a Green's function that maps the spectral
density function (SDF) of a statistically homogeneous random field describing
the correlation... | 0 | 1 | 0 | 0 | 0 | 0 |
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks | We show that training a deep network using batch normalization is equivalent
to approximate inference in Bayesian models. We further demonstrate that this
finding allows us to make meaningful estimates of the model uncertainty using
conventional architectures, without modifications to the network or the
training proc... | 0 | 0 | 0 | 1 | 0 | 0 |
Multi-Antenna Coded Caching | In this paper we consider a single-cell downlink scenario where a
multiple-antenna base station delivers contents to multiple cache-enabled user
terminals. Based on the multicasting opportunities provided by the so-called
Coded Caching technique, we investigate three delivery approaches. Our baseline
scheme employs t... | 1 | 0 | 1 | 0 | 0 | 0 |
Convolved subsampling estimation with applications to block bootstrap | The block bootstrap approximates sampling distributions from dependent data
by resampling data blocks. A fundamental problem is establishing its
consistency for the distribution of a sample mean, as a prototypical statistic.
We use a structural relationship with subsampling to characterize the bootstrap
in a new and ... | 0 | 0 | 1 | 1 | 0 | 0 |
Computing Simple Multiple Zeros of Polynomial Systems | Given a polynomial system f associated with a simple multiple zero x of
multiplicity {\mu}, we give a computable lower bound on the minimal distance
between the simple multiple zero x and other zeros of f. If x is only given
with limited accuracy, we propose a numerical criterion that f is certified to
have {\mu} zer... | 0 | 0 | 1 | 0 | 0 | 0 |
Latent Geometry and Memorization in Generative Models | It can be difficult to tell whether a trained generative model has learned to
generate novel examples or has simply memorized a specific set of outputs. In
published work, it is common to attempt to address this visually, for example
by displaying a generated example and its nearest neighbor(s) in the training
set (i... | 1 | 0 | 0 | 1 | 0 | 0 |
Refracting Metasurfaces without Spurious Diffraction | Refraction represents one of the most fundamental operations that may be
performed by a metasurface. However, simple phasegradient metasurface designs
suffer from restricted angular deflection due to spurious diffraction orders.
It has been recently shown, using a circuit-based approach, that refraction
without spuri... | 0 | 1 | 0 | 0 | 0 | 0 |
Accurate Motion Estimation through Random Sample Aggregated Consensus | We reconsider the classic problem of estimating accurately a 2D
transformation from point matches between images containing outliers. RANSAC
discriminates outliers by randomly generating minimalistic sampled hypotheses
and verifying their consensus over the input data. Its response is based on the
single hypothesis t... | 1 | 0 | 0 | 0 | 0 | 0 |
Landau Collision Integral Solver with Adaptive Mesh Refinement on Emerging Architectures | The Landau collision integral is an accurate model for the small-angle
dominated Coulomb collisions in fusion plasmas. We investigate a high order
accurate, fully conservative, finite element discretization of the nonlinear
multi-species Landau integral with adaptive mesh refinement using the PETSc
library (www.mcs.a... | 1 | 0 | 0 | 0 | 0 | 0 |
A Topologist's View of Kinematic Maps and Manipulation Complexity | In this paper we combine a survey of the most important topological
properties of kinematic maps that appear in robotics, with the exposition of
some basic results regarding the topological complexity of a map. In
particular, we discuss mechanical devices that consist of rigid parts connected
by joints and show how t... | 1 | 0 | 1 | 0 | 0 | 0 |
Faster Tensor Canonicalization | The Butler-Portugal algorithm for obtaining the canonical form of a tensor
expression with respect to slot symmetries and dummy-index renaming suffers, in
certain cases with a high degree of symmetry, from $O(n!)$ explosion in both
computation time and memory. We present a modified algorithm which alleviates
this pro... | 1 | 0 | 0 | 0 | 0 | 0 |
Mass Preconditioning for the Exact One-Flavor Action in Lattice QCD with Domain-Wall Fermion | The mass-preconditioning (MP) technique has become a standard tool to enhance
the efficiency of the hybrid Monte-Carlo simulation (HMC) of lattice QCD with
dynamical quarks, for 2-flavors QCD with degenerate quark masses, as well as
its extension to the case of one-flavor by taking the square-root of the
fermion dete... | 0 | 1 | 0 | 0 | 0 | 0 |
Finite-time scaling at the Anderson transition for vibrations in solids | A model in which a three-dimensional elastic medium is represented by a
network of identical masses connected by springs of random strengths and
allowed to vibrate only along a selected axis of the reference frame, exhibits
an Anderson localization transition. To study this transition, we assume that
the dynamical ma... | 0 | 1 | 0 | 0 | 0 | 0 |
Universal and shape dependent features of surface superconductivity | We analyze the response of a type II superconducting wire to an external
magnetic field parallel to it in the framework of Ginzburg-Landau theory. We
focus on the surface superconductivity regime of applied field between the
second and third critical values, where the superconducting state survives only
close to the ... | 0 | 1 | 1 | 0 | 0 | 0 |
Weighted Low Rank Approximation for Background Estimation Problems | Classical principal component analysis (PCA) is not robust to the presence of
sparse outliers in the data. The use of the $\ell_1$ norm in the Robust PCA
(RPCA) method successfully eliminates the weakness of PCA in separating the
sparse outliers. In this paper, by sticking a simple weight to the Frobenius
norm, we pr... | 0 | 0 | 1 | 0 | 0 | 0 |
Controlling Chiral Domain Walls in Antiferromagnets Using Spin-Wave Helicity | In antiferromagnets, the Dzyaloshinskii-Moriya interaction lifts the
degeneracy of left- and right-circularly polarized spin waves. This
relativistic coupling increases the efficiency of spin-wave-induced domain wall
motion and leads to higher drift velocities. We show that in biaxial
antiferromagnets, the spin-wave ... | 0 | 1 | 0 | 0 | 0 | 0 |
The Spatial Shape of Avalanches | In disordered elastic systems, driven by displacing a parabolic confining
potential adiabatically slowly, all advance of the system is in bursts, termed
avalanches. Avalanches have a finite extension in time, which is much smaller
than the waiting-time between them. Avalanches also have a finite extension
$\ell$ in s... | 0 | 1 | 0 | 0 | 0 | 0 |
Multiple Topological Electronic Phases in Superconductor MoC | The search for a superconductor with non-s-wave pairing is important not only
for understanding unconventional mechanisms of superconductivity but also for
finding new types of quasiparticles such as Majorana bound states. Materials
with both topological band structure and superconductivity are promising
candidates a... | 0 | 1 | 0 | 0 | 0 | 0 |
Extension complexity of stable set polytopes of bipartite graphs | The extension complexity $\mathsf{xc}(P)$ of a polytope $P$ is the minimum
number of facets of a polytope that affinely projects to $P$. Let $G$ be a
bipartite graph with $n$ vertices, $m$ edges, and no isolated vertices. Let
$\mathsf{STAB}(G)$ be the convex hull of the stable sets of $G$. It is easy to
see that $n \... | 1 | 0 | 0 | 0 | 0 | 0 |
Performance Scaling Law for Multi-Cell Multi-User Massive MIMO | This work provides a comprehensive scaling law based performance analysis for
multi-cell multi-user massive multiple-input-multiple-output (MIMO) downlink
systems. Imperfect channel state information (CSI), pilot contamination, and
channel spatial correlation are all considered. First, a sum- rate lower bound
is deri... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Status of the Measurement Problem: Recalling the Relativistic Transactional Interpretation | In view of a resurgence of concern about the measurement problem, it is
pointed out that the Relativistic Transactional Interpretation (RTI) remedies
issues previously considered as drawbacks or refutations of the original TI.
Specifically, once one takes into account relativistic processes that are not
representable... | 0 | 1 | 0 | 0 | 0 | 0 |
Pressure-tuning of bond-directional exchange interactions and magnetic frustration in hyperhoneycomb iridate $β$-$\mathrm{Li_2IrO_3}$ | We explore the response of Ir $5d$ orbitals to pressure in
$\beta$-$\mathrm{Li_2IrO_3}$, a hyperhoneycomb iridate in proximity to a Kitaev
quantum spin liquid (QSL) ground state. X-ray absorption spectroscopy reveals a
reconstruction of the electronic ground state below 2 GPa, the same pressure
range where x-ray magn... | 0 | 1 | 0 | 0 | 0 | 0 |
On perpetuities with gamma-like tails | An infinite convergent sum of independent and identically distributed random
variables discounted by a multiplicative random walk is called perpetuity,
because of a possible actuarial application. We give three disjoint groups of
sufficient conditions which ensure that the distribution right tail of a
perpetuity $\ma... | 0 | 0 | 1 | 0 | 0 | 0 |
Computationally Efficient Estimation of the Spectral Gap of a Markov Chain | We consider the problem of estimating from sample paths the absolute spectral
gap $\gamma_*$ of a reversible, irreducible and aperiodic Markov chain
$(X_t)_{t \in \mathbb{N}}$ over a finite state $\Omega$. We propose the ${\tt
UCPI}$ (Upper Confidence Power Iteration) algorithm for this problem, a
low-complexity algo... | 0 | 0 | 0 | 1 | 0 | 0 |
Mixed Precision Training of Convolutional Neural Networks using Integer Operations | The state-of-the-art (SOTA) for mixed precision training is dominated by
variants of low precision floating point operations, and in particular, FP16
accumulating into FP32 Micikevicius et al. (2017). On the other hand, while a
lot of research has also happened in the domain of low and mixed-precision
Integer trainin... | 1 | 0 | 0 | 0 | 0 | 0 |
Performance of a small size telescope (SST-1M) camera for gamma-ray astronomy with the Cherenkov Telescope Array | The foreseen implementations of the Small Size Telescopes (SST) in CTA will
provide unique insights into the highest energy gamma rays offering fundamental
means to discover and under- stand the sources populating the Galaxy and our
local neighborhood. Aiming at such a goal, the SST-1M is one of the three
different i... | 0 | 1 | 0 | 0 | 0 | 0 |
Bounded solutions for a class of Hamiltonian systems | We obtain bounded for all $t$ solutions of ordinary differential equations as
limits of the solutions of the corresponding Dirichlet problems on $(-L,L)$,
with $L \rightarrow \infty$. We derive a priori estimates for the Dirichlet
problems, allowing passage to the limit, via a diagonal sequence. This approach
carries... | 0 | 0 | 1 | 0 | 0 | 0 |
Cosmological perturbation effects on gravitational-wave luminosity distance estimates | Waveforms of gravitational waves provide information about a variety of
parameters for the binary system merging. However, standard calculations have
been performed assuming a FLRW universe with no perturbations. In reality this
assumption should be dropped: we show that the inclusion of cosmological
perturbations tr... | 0 | 1 | 0 | 0 | 0 | 0 |
Biocompatible Writing of Data into DNA | A simple DNA-based data storage scheme is demonstrated in which information
is written using "addressing" oligonucleotides. In contrast to other methods
that allow arbitrary code to be stored, the resulting DNA is suitable for
downstream enzymatic and biological processing. This capability is crucial for
DNA computer... | 1 | 1 | 0 | 0 | 0 | 0 |
Faster Clustering via Non-Backtracking Random Walks | This paper presents VEC-NBT, a variation on the unsupervised graph clustering
technique VEC, which improves upon the performance of the original algorithm
significantly for sparse graphs. VEC employs a novel application of the
state-of-the-art word2vec model to embed a graph in Euclidean space via random
walks on the... | 1 | 0 | 0 | 1 | 0 | 0 |
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