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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On the Statistical Efficiency of Optimal Kernel Sum Classifiers | We propose a novel combination of optimization tools with learning theory
bounds in order to analyze the sample complexity of optimal kernel sum
classifiers. This contrasts the typical learning theoretic results which hold
for all (potentially suboptimal) classifiers. Our work also justifies
assumptions made in prior... | 1 | 0 | 0 | 1 | 0 | 0 |
Ultracold atoms in multiple-radiofrequency dressed adiabatic potentials | We present the first experimental demonstration of a multiple-radiofrequency
dressed potential for the configurable magnetic confinement of ultracold atoms.
We load cold $^{87}$Rb atoms into a double well potential with an adjustable
barrier height, formed by three radiofrequencies applied to atoms in a static
quadru... | 0 | 1 | 0 | 0 | 0 | 0 |
Distribution Matching in Variational Inference | We show that Variational Autoencoders consistently fail to learn marginal
distributions in latent and visible space. We ask whether this is a consequence
of matching conditional distributions, or a limitation of explicit model and
posterior distributions. We explore alternatives provided by marginal
distribution matc... | 0 | 0 | 0 | 1 | 0 | 0 |
Henkin constructions of models with size continuum | We survey the technique of constructing customized models of size continuum
in omega steps and illustrate the method by giving new proofs of mostly old
results within this rubric. One new theorem, which is joint with Saharon
Shelah, is that a pseudominimal theory has an atomic model of size continuum.
| 0 | 0 | 1 | 0 | 0 | 0 |
Orthogonal groups in characteristic 2 acting on polytopes of high rank | We show that for all integers $m\geq 2$, and all integers $k\geq 2$, the
orthogonal groups $\Orth^{\pm}(2m,\Fk)$ act on abstract regular polytopes of
rank $2m$, and the symplectic groups $\Sp(2m,\Fk)$ act on abstract regular
polytopes of rank $2m+1$.
| 0 | 0 | 1 | 0 | 0 | 0 |
Free LSD: Prior-Free Visual Landing Site Detection for Autonomous Planes | Full autonomy for fixed-wing unmanned aerial vehicles (UAVs) requires the
capability to autonomously detect potential landing sites in unknown and
unstructured terrain, allowing for self-governed mission completion or handling
of emergency situations. In this work, we propose a perception system
addressing this chall... | 1 | 0 | 0 | 0 | 0 | 0 |
Semi-supervised and Active-learning Scenarios: Efficient Acoustic Model Refinement for a Low Resource Indian Language | We address the problem of efficient acoustic-model refinement (continuous
retraining) using semi-supervised and active learning for a low resource Indian
language, wherein the low resource constraints are having i) a small labeled
corpus from which to train a baseline `seed' acoustic model and ii) a large
training co... | 1 | 0 | 0 | 0 | 0 | 0 |
Energy spectrum of cascade showers generated by cosmic ray muons in water | The spatial distribution of Cherenkov radiation from cascade showers
generated by muons in water has been measured with Cherenkov water calorimeter
(CWC) NEVOD. This result allowed to improve the techniques of treating cascade
showers with unknown axes by means of CWC response analysis. The techniques of
selecting th... | 0 | 1 | 0 | 0 | 0 | 0 |
The limit point of the pentagram map | The pentagram map is a discrete dynamical system defined on the space of
polygons in the plane. In the first paper on the subject, R. Schwartz proved
that the pentagram map produces from each convex polygon a sequence of
successively smaller polygons that converges exponentially to a point. We
investigate the limit p... | 0 | 0 | 1 | 0 | 0 | 0 |
Reconstruction formulas for Photoacoustic Imaging in Attenuating Media | In this paper we study the problem of photoacoustic inversion in a weakly
attenuating medium. We present explicit reconstruction formulas in such media
and show that the inversion based on such formulas is moderately ill--posed.
Moreover, we present a numerical algorithm for imaging and demonstrate in
numerical exper... | 0 | 0 | 1 | 0 | 0 | 0 |
Rank Determination for Low-Rank Data Completion | Recently, fundamental conditions on the sampling patterns have been obtained
for finite completability of low-rank matrices or tensors given the
corresponding ranks. In this paper, we consider the scenario where the rank is
not given and we aim to approximate the unknown rank based on the location of
sampled entries ... | 1 | 0 | 0 | 1 | 0 | 0 |
Network structure from rich but noisy data | Driven by growing interest in the sciences, industry, and among the broader
public, a large number of empirical studies have been conducted in recent years
of the structure of networks ranging from the internet and the world wide web
to biological networks and social networks. The data produced by these
experiments a... | 1 | 1 | 0 | 0 | 0 | 0 |
Algebraic Foundations of Proof Refinement | We contribute a general apparatus for dependent tactic-based proof refinement
in the LCF tradition, in which the statements of subgoals may express a
dependency on the proofs of other subgoals; this form of dependency is
extremely useful and can serve as an algorithmic alternative to extensions of
LCF based on non-lo... | 1 | 0 | 0 | 0 | 0 | 0 |
Transfer Learning for Neural Semantic Parsing | The goal of semantic parsing is to map natural language to a machine
interpretable meaning representation language (MRL). One of the constraints
that limits full exploration of deep learning technologies for semantic parsing
is the lack of sufficient annotation training data. In this paper, we propose
using sequence-... | 1 | 0 | 0 | 0 | 0 | 0 |
Definable Valuations induced by multiplicative subgroups and NIP Fields | We study the algebraic implications of the non-independence property (NIP)
and variants thereof (dp-minimality) on infinite fields, motivated by the
conjecture that all such fields which are neither real closed nor separably
closed admit a definable henselian valuation. Our results mainly focus on Hahn
fields and bui... | 0 | 0 | 1 | 0 | 0 | 0 |
Bridging the Gap Between Layout Pattern Sampling and Hotspot Detection via Batch Active Learning | Layout hotpot detection is one of the main steps in modern VLSI design. A
typical hotspot detection flow is extremely time consuming due to the
computationally expensive mask optimization and lithographic simulation. Recent
researches try to facilitate the procedure with a reduced flow including
feature extraction, t... | 0 | 0 | 0 | 1 | 0 | 0 |
iCorr : Complex correlation method to detect origin of replication in prokaryotic and eukaryotic genomes | Computational prediction of origin of replication (ORI) has been of great
interest in bioinformatics and several methods including GC Skew, Z curve,
auto-correlation etc. have been explored in the past. In this paper, we have
extended the auto-correlation method to predict ORI location with much higher
resolution for... | 0 | 1 | 0 | 0 | 0 | 0 |
On the Power Spectral Density Applied to the Analysis of Old Canvases | A routine task for art historians is painting diagnostics, such as dating or
attribution. Signal processing of the X-ray image of a canvas provides useful
information about its fabric. However, previous methods may fail when very old
and deteriorated artworks or simply canvases of small size are studied. We
present a... | 1 | 0 | 1 | 0 | 0 | 0 |
Simons' type formula for slant submanifolds of complex space form | In this paper, we study a slant submanifold of a complex space form. We also
obtain an integral formula of Simons' type for a Kaehlerian slant submanifold
in a complex space form and apply it to prove our main result.
| 0 | 0 | 1 | 0 | 0 | 0 |
Eco-evolutionary feedbacks - theoretical models and perspectives | 1. Theoretical models pertaining to feedbacks between ecological and
evolutionary processes are prevalent in multiple biological fields. An
integrative overview is currently lacking, due to little crosstalk between the
fields and the use of different methodological approaches.
2. Here we review a wide range of models... | 0 | 0 | 0 | 0 | 1 | 0 |
Unusual behavior of cuprates explained by heterogeneous charge localization | The cuprate high-temperature superconductors are among the most intensively
studied materials, yet essential questions regarding their principal phases and
the transitions between them remain unanswered. Generally thought of as doped
charge-transfer insulators, these complex lamellar oxides exhibit pseudogap,
strange... | 0 | 1 | 0 | 0 | 0 | 0 |
An Agile Software Engineering Method to Design Blockchain Applications | Cryptocurrencies and their foundation technology, the Blockchain, are
reshaping finance and economics, allowing a decentralized approach enabling
trusted applications with no trusted counterpart. More recently, the Blockchain
and the programs running on it, called Smart Contracts, are also finding more
and more appli... | 1 | 0 | 0 | 0 | 0 | 0 |
Optimizing Prediction Intervals by Tuning Random Forest via Meta-Validation | Recent studies have shown that tuning prediction models increases prediction
accuracy and that Random Forest can be used to construct prediction intervals.
However, to our best knowledge, no study has investigated the need to, and the
manner in which one can, tune Random Forest for optimizing prediction intervals
{ t... | 0 | 0 | 0 | 1 | 0 | 0 |
Explicit construction of RIP matrices is Ramsey-hard | Matrices $\Phi\in\R^{n\times p}$ satisfying the Restricted Isometry Property
(RIP) are an important ingredient of the compressive sensing methods. While it
is known that random matrices satisfy the RIP with high probability even for
$n=\log^{O(1)}p$, the explicit construction of such matrices defied the
repeated effo... | 0 | 0 | 0 | 1 | 0 | 0 |
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net | Models applied on real time response task, like click-through rate (CTR)
prediction model, require high accuracy and rigorous response time. Therefore,
top-performing deep models of high depth and complexity are not well suited for
these applications with the limitations on the inference time. In order to
further imp... | 1 | 0 | 0 | 1 | 0 | 0 |
The CMS HGCAL detector for HL-LHC upgrade | The High Luminosity LHC (HL-LHC) will integrate 10 times more luminosity than
the LHC, posing significant challenges for radiation tolerance and event pileup
on detectors, especially for forward calorimetry, and hallmarks the issue for
future colliders. As part of its HL-LHC upgrade program, the CMS collaboration
is ... | 0 | 1 | 0 | 0 | 0 | 0 |
Complete Classification of Generalized Santha-Vazirani Sources | Let $\mathcal{F}$ be a finite alphabet and $\mathcal{D}$ be a finite set of
distributions over $\mathcal{F}$. A Generalized Santha-Vazirani (GSV) source of
type $(\mathcal{F}, \mathcal{D})$, introduced by Beigi, Etesami and Gohari
(ICALP 2015, SICOMP 2017), is a random sequence $(F_1, \dots, F_n)$ in
$\mathcal{F}^n$,... | 1 | 0 | 0 | 0 | 0 | 0 |
Hermann Hankel's "On the general theory of motion of fluids", an essay including an English translation of the complete Preisschrift from 1861 | The present is a companion paper to "A contemporary look at Hermann Hankel's
1861 pioneering work on Lagrangian fluid dynamics" by Frisch, Grimberg and
Villone (2017). Here we present the English translation of the 1861 prize
manuscript from Göttingen University "Zur allgemeinen Theorie der Bewegung
der Flüssigkeiten... | 0 | 1 | 1 | 0 | 0 | 0 |
Targeted Damage to Interdependent Networks | The giant mutually connected component (GMCC) of an interdependent or
multiplex network collapses with a discontinuous hybrid transition under random
damage to the network. If the nodes to be damaged are selected in a targeted
way, the collapse of the GMCC may occur significantly sooner. Finding the
minimal damage se... | 1 | 0 | 0 | 0 | 0 | 0 |
The limit of the Hermitian-Yang-Mills flow on reflexive sheaves | In this paper, we study the asymptotic behavior of the Hermitian-Yang-Mills
flow on a reflexive sheaf. We prove that the limiting reflexive sheaf is
isomorphic to the double dual of the graded sheaf associated to the
Harder-Narasimhan-Seshadri filtration, this answers a question by Bando and
Siu.
| 0 | 0 | 1 | 0 | 0 | 0 |
High-accuracy phase-field models for brittle fracture based on a new family of degradation functions | Phase-field approaches to fracture based on energy minimization principles
have been rapidly gaining popularity in recent years, and are particularly
well-suited for simulating crack initiation and growth in complex fracture
networks. In the phase-field framework, the surface energy associated with
crack formation is... | 0 | 1 | 1 | 0 | 0 | 0 |
Straggler Mitigation in Distributed Optimization Through Data Encoding | Slow running or straggler tasks can significantly reduce computation speed in
distributed computation. Recently, coding-theory-inspired approaches have been
applied to mitigate the effect of straggling, through embedding redundancy in
certain linear computational steps of the optimization algorithm, thus
completing t... | 1 | 0 | 0 | 1 | 0 | 0 |
Inference Trees: Adaptive Inference with Exploration | We introduce inference trees (ITs), a new class of inference methods that
build on ideas from Monte Carlo tree search to perform adaptive sampling in a
manner that balances exploration with exploitation, ensures consistency, and
alleviates pathologies in existing adaptive methods. ITs adaptively sample from
hierarchi... | 0 | 0 | 0 | 1 | 0 | 0 |
Application of backpropagation neural networks to both stages of fingerprinting based WIPS | We propose a scheme to employ backpropagation neural networks (BPNNs) for
both stages of fingerprinting-based indoor positioning using WLAN/WiFi signal
strengths (FWIPS): radio map construction during the offline stage, and
localization during the online stage. Given a training radio map (TRM), i.e., a
set of coordin... | 1 | 0 | 0 | 1 | 0 | 0 |
Bayesian Bootstraps for Massive Data | Recently, two scalable adaptations of the bootstrap have been proposed: the
bag of little bootstraps (BLB; Kleiner et al., 2014) and the subsampled double
bootstrap (SDB; Sengupta et al., 2016). In this paper, we introduce Bayesian
bootstrap analogues to the BLB and SDB that have similar theoretical and
computational... | 0 | 0 | 0 | 1 | 0 | 0 |
Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner | Impressive image captioning results are achieved in domains with plenty of
training image and sentence pairs (e.g., MSCOCO). However, transferring to a
target domain with significant domain shifts but no paired training data
(referred to as cross-domain image captioning) remains largely unexplored. We
propose a novel... | 1 | 0 | 0 | 0 | 0 | 0 |
Faster Fuzzing: Reinitialization with Deep Neural Models | We improve the performance of the American Fuzzy Lop (AFL) fuzz testing
framework by using Generative Adversarial Network (GAN) models to reinitialize
the system with novel seed files. We assess performance based on the temporal
rate at which we produce novel and unseen code paths. We compare this approach
to seed fi... | 1 | 0 | 0 | 0 | 0 | 0 |
Contego: An Adaptive Framework for Integrating Security Tasks in Real-Time Systems | Embedded real-time systems (RTS) are pervasive. Many modern RTS are exposed
to unknown security flaws, and threats to RTS are growing in both number and
sophistication. However, until recently, cyber-security considerations were an
afterthought in the design of such systems. Any security mechanisms integrated
into RT... | 1 | 0 | 0 | 0 | 0 | 0 |
Second Order Analysis for Joint Source-Channel Coding with Markovian Source | We derive the second order rates of joint source-channel coding, whose source
obeys an irreducible and ergodic Markov process when the channel is a discrete
memoryless, while a previous study solved it only in a special case. We also
compare the joint source-channel scheme with the separation scheme in the
second ord... | 1 | 0 | 1 | 0 | 0 | 0 |
Interface currents and magnetization in singlet-triplet superconducting heterostructures: Role of chiral and helical domains | Chiral and helical domain walls are generic defects of topological
spin-triplet superconductors. We study theoretically the magnetic and transport
properties of superconducting singlet-triplet-singlet heterostructure as a
function of the phase difference between the singlet leads in the presence of
chiral and helical... | 0 | 1 | 0 | 0 | 0 | 0 |
Implicit Weight Uncertainty in Neural Networks | Modern neural networks tend to be overconfident on unseen, noisy or
incorrectly labelled data and do not produce meaningful uncertainty measures.
Bayesian deep learning aims to address this shortcoming with variational
approximations (such as Bayes by Backprop or Multiplicative Normalising Flows).
However, current ap... | 1 | 0 | 0 | 1 | 0 | 0 |
A systematic analysis of the XMM-Newton background: III. Impact of the magnetospheric environment | A detailed characterization of the particle induced background is fundamental
for many of the scientific objectives of the Athena X-ray telescope, thus an
adequate knowledge of the background that will be encountered by Athena is
desirable. Current X-ray telescopes have shown that the intensity of the
particle induce... | 0 | 1 | 0 | 0 | 0 | 0 |
DeepPermNet: Visual Permutation Learning | We present a principled approach to uncover the structure of visual data by
solving a novel deep learning task coined visual permutation learning. The goal
of this task is to find the permutation that recovers the structure of data
from shuffled versions of it. In the case of natural images, this task boils
down to r... | 1 | 0 | 0 | 0 | 0 | 0 |
ADE String Chains and Mirror Symmetry | 6d superconformal field theories (SCFTs) are the SCFTs in the highest
possible dimension. They can be geometrically engineered in F-theory by
compactifying on non-compact elliptic Calabi-Yau manifolds. In this paper we
focus on the class of SCFTs whose base geometry is determined by $-2$ curves
intersecting according... | 0 | 0 | 1 | 0 | 0 | 0 |
(non)-automaticity of completely multiplicative sequences having negligible many non-trivial prime factors | In this article we consider the completely multiplicative sequences $(a_n)_{n
\in \mathbf{N}}$ defined on a field $\mathbf{K}$ and satisfying $$\sum_{p| p
\leq n, a_p \neq 1, p \in \mathbf{P}}\frac{1}{p}<\infty,$$ where $\mathbf{P}$
is the set of prime numbers. We prove that if such sequences are automatic then
they ... | 0 | 0 | 1 | 0 | 0 | 0 |
Timing Aware Dummy Metal Fill Methodology | In this paper, we analyzed parasitic coupling capacitance coming from dummy
metal fill and its impact on timing. Based on the modeling, we proposed two
approaches to minimize the timing impact from dummy metal fill. The first
approach applies more spacing between critical nets and metal fill, while the
second approac... | 1 | 0 | 0 | 0 | 0 | 0 |
Asymptotic efficiency of the proportional compensation scheme for a large number of producers | We consider a manager, who allocates some fixed total payment amount between
$N$ rational agents in order to maximize the aggregate production. The profit
of $i$-th agent is the difference between the compensation (reward) obtained
from the manager and the production cost. We compare (i) the \emph{normative}
compensa... | 1 | 0 | 0 | 0 | 0 | 0 |
Non-equilibrium statistical mechanics of continuous attractors | Continuous attractors have been used to understand recent neuroscience
experiments where persistent activity patterns encode internal representations
of external attributes like head direction or spatial location. However, the
conditions under which the emergent bump of neural activity in such networks
can be manipul... | 0 | 0 | 0 | 0 | 1 | 0 |
Some results on the existence of t-all-or-nothing transforms over arbitrary alphabets | A $(t, s, v)$-all-or-nothing transform is a bijective mapping defined on
$s$-tuples over an alphabet of size $v$, which satisfies the condition that the
values of any $t$ input co-ordinates are completely undetermined, given only
the values of any $s-t$ output co-ordinates. The main question we address in
this paper ... | 1 | 0 | 1 | 0 | 0 | 0 |
Exhaustive Exploration of the Failure-oblivious Computing Search Space | High-availability of software systems requires automated handling of crashes
in presence of errors. Failure-oblivious computing is one technique that aims
to achieve high availability. We note that failure-obliviousness has not been
studied in depth yet, and there is very few study that helps understand why
failure-o... | 1 | 0 | 0 | 0 | 0 | 0 |
Theoretical Accuracy in Cosmological Growth Estimation | We elucidate the importance of the consistent treatment of gravity-model
specific non-linearities when estimating the growth of cosmological structures
from redshift space distortions (RSD). Within the context of standard
perturbation theory (SPT), we compare the predictions of two theoretical
templates with redshift... | 0 | 1 | 0 | 0 | 0 | 0 |
Model-Robust Counterfactual Prediction Method | We develop a novel method for counterfactual analysis based on observational
data using prediction intervals for units under different exposures. Unlike
methods that target heterogeneous or conditional average treatment effects of
an exposure, the proposed approach aims to take into account the irreducible
dispersion... | 0 | 0 | 1 | 1 | 0 | 0 |
Exponentiated Generalized Pareto Distribution: Properties and applications towards Extreme Value Theory | The Generalized Pareto Distribution (GPD) plays a central role in modelling
heavy tail phenomena in many applications. Applying the GPD to actual datasets
however is a non-trivial task. One common way suggested in the literature to
investigate the tail behaviour is to take logarithm to the original dataset in
order t... | 0 | 0 | 1 | 1 | 0 | 0 |
Learning with Average Top-k Loss | In this work, we introduce the {\em average top-$k$} (\atk) loss as a new
aggregate loss for supervised learning, which is the average over the $k$
largest individual losses over a training dataset. We show that the \atk loss
is a natural generalization of the two widely used aggregate losses, namely the
average loss... | 1 | 0 | 0 | 1 | 0 | 0 |
Reflexive polytopes arising from perfect graphs | Reflexive polytopes form one of the distinguished classes of lattice
polytopes. Especially reflexive polytopes which possess the integer
decomposition property are of interest. In the present paper, by virtue of the
algebraic technique on Grönbner bases, a new class of reflexive polytopes
which possess the integer de... | 0 | 0 | 1 | 0 | 0 | 0 |
Meta Networks | Neural networks have been successfully applied in applications with a large
amount of labeled data. However, the task of rapid generalization on new
concepts with small training data while preserving performances on previously
learned ones still presents a significant challenge to neural network models.
In this work,... | 1 | 0 | 0 | 1 | 0 | 0 |
Variable selection for clustering with Gaussian mixture models: state of the art | The mixture models have become widely used in clustering, given its
probabilistic framework in which its based, however, for modern databases that
are characterized by their large size, these models behave disappointingly in
setting out the model, making essential the selection of relevant variables for
this type of ... | 1 | 0 | 0 | 1 | 0 | 0 |
Analysing Magnetism Using Scanning SQUID Microscopy | Scanning superconducting quantum interference device microscopy (SSM) is a
scanning probe technique that images local magnetic flux, which allows for
mapping of magnetic fields with high field and spatial accuracy. Many studies
involving SSM have been published in the last decades, using SSM to make
qualitative state... | 0 | 1 | 0 | 0 | 0 | 0 |
Algorithms for solving optimization problems arising from deep neural net models: nonsmooth problems | Machine Learning models incorporating multiple layered learning networks have
been seen to provide effective models for various classification problems. The
resulting optimization problem to solve for the optimal vector minimizing the
empirical risk is, however, highly nonconvex. This alone presents a challenge
to ap... | 0 | 0 | 0 | 1 | 0 | 0 |
On the essential self-adjointness of singular sub-Laplacians | We prove a general essential self-adjointness criterion for sub-Laplacians on
complete sub-Riemannian manifolds, defined with respect to singular measures.
As a consequence, we show that the intrinsic sub-Laplacian (i.e. defined w.r.t.
Popp's measure) is essentially self-adjoint on the equiregular connected
component... | 0 | 0 | 1 | 0 | 0 | 0 |
Are Saddles Good Enough for Deep Learning? | Recent years have seen a growing interest in understanding deep neural
networks from an optimization perspective. It is understood now that converging
to low-cost local minima is sufficient for such models to become effective in
practice. However, in this work, we propose a new hypothesis based on recent
theoretical ... | 1 | 0 | 0 | 1 | 0 | 0 |
Monotonicity and enclosure methods for the p-Laplace equation | We show that the convex hull of a monotone perturbation of a homogeneous
background conductivity in the $p$-conductivity equation is determined by
knowledge of the nonlinear Dirichlet-Neumann operator. We give two independent
proofs, one of which is based on the monotonicity method and the other on the
enclosure meth... | 0 | 0 | 1 | 0 | 0 | 0 |
Tension and chemical efficiency of Myosin-II motors | Recent experiments demonstrate that molecular motors from the Myosin II
family serve as cross-links inducing active tension in the cytoskeletal
network. Here we revise the Brownian ratchet model, previously studied in the
context of active transport along polymer tracks, in setups resembling a motor
in a polymer netw... | 0 | 1 | 0 | 0 | 0 | 0 |
Token-based Function Computation with Memory | In distributed function computation, each node has an initial value and the
goal is to compute a function of these values in a distributed manner. In this
paper, we propose a novel token-based approach to compute a wide class of
target functions to which we refer as "Token-based function Computation with
Memory" (TCM... | 1 | 0 | 0 | 1 | 0 | 0 |
Simple property of heterogeneous aspiration dynamics: Beyond weak selection | How individuals adapt their behavior in cultural evolution remains elusive.
Theoretical studies have shown that the update rules chosen to model individual
decision making can dramatically modify the evolutionary outcome of the
population as a whole. This hints at the complexities of considering the
personality of in... | 0 | 0 | 0 | 0 | 1 | 0 |
Warm dark matter and the ionization history of the Universe | In warm dark matter scenarios structure formation is suppressed on small
scales with respect to the cold dark matter case, reducing the number of
low-mass halos and the fraction of ionized gas at high redshifts and thus,
delaying reionization. This has an impact on the ionization history of the
Universe and measureme... | 0 | 1 | 0 | 0 | 0 | 0 |
High quality factor manganese-doped aluminum lumped-element kinetic inductance detectors sensitive to frequencies below 100 GHz | Aluminum lumped-element kinetic inductance detectors (LEKIDs) sensitive to
millimeter-wave photons have been shown to exhibit high quality factors, making
them highly sensitive and multiplexable. The superconducting gap of aluminum
limits aluminum LEKIDs to photon frequencies above 100 GHz. Manganese-doped
aluminum (... | 0 | 1 | 0 | 0 | 0 | 0 |
Tetramer Bound States in Heteronuclear Systems | We calculate the universal spectrum of trimer and tetramer states in
heteronuclear mixtures of ultracold atoms with different masses in the vicinity
of the heavy-light dimer threshold. To extract the energies, we solve the
three- and four-body problem for simple two- and three-body potentials tuned to
the universal r... | 0 | 1 | 0 | 0 | 0 | 0 |
Dark Energy Cosmological Models with General forms of Scale Factor | In this paper, we have constructed dark energy models in an anisotropic
Bianchi-V space-time and studied the role of anisotropy in the evolution of
dark energy. We have considered anisotropic dark energy fluid with different
pressure gradients along different spatial directions. In order to obtain a
deterministic sol... | 0 | 1 | 0 | 0 | 0 | 0 |
Mutual Kernel Matrix Completion | With the huge influx of various data nowadays, extracting knowledge from them
has become an interesting but tedious task among data scientists, particularly
when the data come in heterogeneous form and have missing information. Many
data completion techniques had been introduced, especially in the advent of
kernel me... | 1 | 0 | 0 | 1 | 0 | 0 |
Quantum Klein Space and Superspace | We give an algebraic quantization, in the sense of quantum groups, of the
complex Minkowski space, and we examine the real forms corresponding to the
signatures $(3,1)$, $(2,2)$, $(4,0)$, constructing the corresponding quantum
metrics and providing an explicit presentation of the quantized coordinate
algebras. In par... | 0 | 0 | 1 | 0 | 0 | 0 |
Bayesian Lasso Posterior Sampling via Parallelized Measure Transport | It is well known that the Lasso can be interpreted as a Bayesian posterior
mode estimate with a Laplacian prior. Obtaining samples from the full posterior
distribution, the Bayesian Lasso, confers major advantages in performance as
compared to having only the Lasso point estimate. Traditionally, the Bayesian
Lasso is... | 0 | 0 | 0 | 1 | 0 | 0 |
Endogeneous Dynamics of Intraday Liquidity | In this paper we investigate the endogenous information contained in four
liquidity variables at a five minutes time scale on equity markets around the
world: the traded volume, the bid-ask spread, the volatility and the volume at
first limits of the orderbook. In the spirit of Granger causality, we measure
the level... | 0 | 0 | 0 | 0 | 0 | 1 |
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks | Data diversity is critical to success when training deep learning models.
Medical imaging data sets are often imbalanced as pathologic findings are
generally rare, which introduces significant challenges when training deep
learning models. In this work, we propose a method to generate synthetic
abnormal MRI images wi... | 0 | 0 | 0 | 1 | 0 | 0 |
Adaptive Feature Representation for Visual Tracking | Robust feature representation plays significant role in visual tracking.
However, it remains a challenging issue, since many factors may affect the
experimental performance. The existing method which combine different features
by setting them equally with the fixed weight could hardly solve the issues,
due to the dif... | 1 | 0 | 0 | 0 | 0 | 0 |
An analysis of the SPARSEVA estimate for the finite sample data case | In this paper, we develop an upper bound for the SPARSEVA (SPARSe Estimation
based on a VAlidation criterion) estimation error in a general scheme, i.e.,
when the cost function is strongly convex and the regularized norm is
decomposable for a pair of subspaces. We show how this general bound can be
applied to a spars... | 0 | 0 | 1 | 1 | 0 | 0 |
The Remarkable Similarity of Massive Galaxy Clusters From z~0 to z~1.9 | We present the results of a Chandra X-ray survey of the 8 most massive galaxy
clusters at z>1.2 in the South Pole Telescope 2500 deg^2 survey. We combine
this sample with previously-published Chandra observations of 49 massive
X-ray-selected clusters at 0<z<0.1 and 90 SZ-selected clusters at 0.25<z<1.2 to
constrain t... | 0 | 1 | 0 | 0 | 0 | 0 |
Rigorous estimates for the relegation algorithm | We revisit the relegation algorithm by Deprit et al. (Celest. Mech. Dyn.
Astron. 79:157-182, 2001) in the light of the rigorous Nekhoroshev's like
theory. This relatively recent algorithm is nowadays widely used for
implementing closed form analytic perturbation theories, as it generalises the
classical Birkhoff norm... | 0 | 1 | 0 | 0 | 0 | 0 |
Linear Pentapods with a Simple Singularity Variety | There exists a bijection between the configuration space of a linear pentapod
and all points $(u,v,w,p_x,p_y,p_z)\in\mathbb{R}^{6}$ located on the singular
quadric $\Gamma: u^2+v^2+w^2=1$, where $(u,v,w)$ determines the orientation of
the linear platform and $(p_x,p_y,p_z)$ its position. Then the set of all
singular ... | 1 | 0 | 0 | 0 | 0 | 0 |
Neural Networks as Interacting Particle Systems: Asymptotic Convexity of the Loss Landscape and Universal Scaling of the Approximation Error | Neural networks, a central tool in machine learning, have demonstrated
remarkable, high fidelity performance on image recognition and classification
tasks. These successes evince an ability to accurately represent high
dimensional functions, potentially of great use in computational and applied
mathematics. That said... | 0 | 0 | 0 | 1 | 0 | 0 |
Adaptive Similar Triangles Method: a Stable Alternative to Sinkhorn's Algorithm for Regularized Optimal Transport | In this paper, we are motivated by two important applications:
entropy-regularized optimal transport problem and road or IP traffic demand
matrix estimation by entropy model. Both of them include solving a special type
of optimization problem with linear equality constraints and objective given as
a sum of an entropy... | 0 | 0 | 1 | 0 | 0 | 0 |
Images of Ideals under Derivations and $\mathcal E$-Derivations of Univariate Polynomial Algebras over a Field of Characteristic Zero | Let $K$ be a field of characteristic zero and $x$ a free variable. A
$K$-$\mathcal E$-derivation of $K[x]$ is a $K$-linear map of the form
$\operatorname{I}-\phi$ for some $K$-algebra endomorphism $\phi$ of $K[x]$,
where $\operatorname{I}$ denotes the identity map of $K[x]$. In this paper we
study the image of an ide... | 0 | 0 | 1 | 0 | 0 | 0 |
Maximum genus of the Jenga like configurations | We treat the boundary of the union of blocks in the Jenga game as a surface
with a polyhedral structure and consider its genus. We generalize the game and
determine the maximum genus of the generalized game.
| 0 | 0 | 1 | 0 | 0 | 0 |
A Decidable Very Expressive Description Logic for Databases (Extended Version) | We introduce $\mathcal{DLR}^+$, an extension of the n-ary propositionally
closed description logic $\mathcal{DLR}$ to deal with attribute-labelled tuples
(generalising the positional notation), projections of relations, and global
and local objectification of relations, able to express inclusion, functional,
key, and... | 1 | 0 | 0 | 0 | 0 | 0 |
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction | Developing a Brain-Computer Interface~(BCI) for seizure prediction can help
epileptic patients have a better quality of life. However, there are many
difficulties and challenges in developing such a system as a real-life support
for patients. Because of the nonstationary nature of EEG signals, normal and
seizure patt... | 1 | 0 | 0 | 1 | 0 | 0 |
Centrality measures for graphons: Accounting for uncertainty in networks | As relational datasets modeled as graphs keep increasing in size and their
data-acquisition is permeated by uncertainty, graph-based analysis techniques
can become computationally and conceptually challenging. In particular, node
centrality measures rely on the assumption that the graph is perfectly known --
a premis... | 1 | 0 | 1 | 1 | 0 | 0 |
A time-periodic mechanical analog of the quantum harmonic oscillator | We theoretically investigate the stability and linear oscillatory behavior of
a naturally unstable particle whose potential energy is harmonically modulated.
We find this fundamental dynamical system is analogous in time to a quantum
harmonic oscillator. In a certain modulation limit, a.k.a. the Kapitza regime,
the m... | 0 | 1 | 0 | 0 | 0 | 0 |
Anharmonicity and the isotope effect in superconducting lithium at high pressures: a first-principles approach | Recent experiments [Schaeffer 2015] have shown that lithium presents an
extremely anomalous isotope effect in the 15-25 GPa pressure range. In this
article we have calculated the anharmonic phonon dispersion of $\mathrm{^7Li}$
and $\mathrm{^6Li}$ under pressure, their superconducting transition
temperatures, and the ... | 0 | 1 | 0 | 0 | 0 | 0 |
Time-resolved polarimetry of the superluminous SN 2015bn with the Nordic Optical Telescope | We present imaging polarimetry of the superluminous supernova SN 2015bn,
obtained over nine epochs between $-$20 and $+$46 days with the Nordic Optical
Telescope. This was a nearby, slowly-evolving Type I superluminous supernova
that has been studied extensively and for which two epochs of
spectropolarimetry are also... | 0 | 1 | 0 | 0 | 0 | 0 |
Deep Bayesian Active Learning with Image Data | Even though active learning forms an important pillar of machine learning,
deep learning tools are not prevalent within it. Deep learning poses several
difficulties when used in an active learning setting. First, active learning
(AL) methods generally rely on being able to learn and update models from small
amounts o... | 1 | 0 | 0 | 1 | 0 | 0 |
Robust Optical Flow Estimation in Rainy Scenes | Optical flow estimation in the rainy scenes is challenging due to background
degradation introduced by rain streaks and rain accumulation effects in the
scene. Rain accumulation effect refers to poor visibility of remote objects due
to the intense rainfall. Most existing optical flow methods are erroneous when
applie... | 1 | 0 | 0 | 0 | 0 | 0 |
Thermophysical Phenomena in Metal Additive Manufacturing by Selective Laser Melting: Fundamentals, Modeling, Simulation and Experimentation | Among the many additive manufacturing (AM) processes for metallic materials,
selective laser melting (SLM) is arguably the most versatile in terms of its
potential to realize complex geometries along with tailored microstructure.
However, the complexity of the SLM process, and the need for predictive
relation of powd... | 1 | 1 | 0 | 0 | 0 | 0 |
Numerical Methods for Pulmonary Image Registration | Due to complexity and invisibility of human organs, diagnosticians need to
analyze medical images to determine where the lesion region is, and which kind
of disease is, in order to make precise diagnoses. For satisfying clinical
purposes through analyzing medical images, registration plays an essential
role. For inst... | 0 | 1 | 0 | 0 | 0 | 0 |
Solving Non-parametric Inverse Problem in Continuous Markov Random Field using Loopy Belief Propagation | In this paper, we address the inverse problem, or the statistical machine
learning problem, in Markov random fields with a non-parametric pair-wise
energy function with continuous variables. The inverse problem is formulated by
maximum likelihood estimation. The exact treatment of maximum likelihood
estimation is int... | 1 | 1 | 0 | 1 | 0 | 0 |
Topology Adaptive Graph Convolutional Networks | Spectral graph convolutional neural networks (CNNs) require approximation to
the convolution to alleviate the computational complexity, resulting in
performance loss. This paper proposes the topology adaptive graph convolutional
network (TAGCN), a novel graph convolutional network defined in the vertex
domain. We pro... | 1 | 0 | 0 | 1 | 0 | 0 |
Suspensions of finite-size neutrally-buoyant spheres in turbulent duct flow | We study the turbulent square duct flow of dense suspensions of
neutrally-buoyant spherical particles. Direct numerical simulations (DNS) are
performed in the range of volume fractions $\phi=0-0.2$, using the immersed
boundary method (IBM) to account for the dispersed phase. Based on the
hydraulic diameter a Reynolds... | 0 | 1 | 0 | 0 | 0 | 0 |
Far-from-equilibrium transport of excited carriers in nanostructures | Transport of charged carriers in regimes of strong non-equilibrium is
critical in a wide array of applications ranging from solar energy conversion
and semiconductor devices to quantum information. Plasmonic hot-carrier science
brings this regime of transport physics to the forefront since photo-excited
carriers must... | 0 | 1 | 0 | 0 | 0 | 0 |
On annihilators of bounded $(\frak g, \frak k)$-modules | Let $\frak g$ be a semisimple Lie algebra and $\frak k\subset\frak g$ be a
reductive subalgebra. We say that a $\frak g$-module $M$ is a bounded $(\frak
g, \frak k)$-module if $M$ is a direct sum of simple finite-dimensional $\frak
k$-modules and the multiplicities of all simple $\frak k$-modules in that
direct sum a... | 0 | 0 | 1 | 0 | 0 | 0 |
Neutron Star Planets: Atmospheric processes and habitability | Of the roughly 3000 neutron stars known, only a handful have sub-stellar
companions. The most famous of these are the low-mass planets around the
millisecond pulsar B1257+12. New evidence indicates that observational biases
could still hide a wide variety of planetary systems around most neutron stars.
We consider th... | 0 | 1 | 0 | 0 | 0 | 0 |
Discrete Time-Crystalline Order in Cavity and Circuit QED Systems | Discrete time crystals are a recently proposed and experimentally observed
out-of-equilibrium dynamical phase of Floquet systems, where the stroboscopic
evolution of a local observable repeats itself at an integer multiple of the
driving period. We address this issue in a driven-dissipative setup, focusing
on the mod... | 0 | 1 | 0 | 0 | 0 | 0 |
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