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arxiv_dataset-113001905.11564 | Adversarially Robust Learning Could Leverage Computational Hardness
cs.LG cs.CC cs.CR stat.ML
Over recent years, devising classification algorithms that are robust to
adversarial perturbations has emerged as a challenging problem. In particular,
deep neural nets (DNNs) seem to be susceptible to small imperceptible ... | arxiv topic:cs.LG cs.CC cs.CR stat.ML |
arxiv_dataset-113011905.11664 | OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural
Networks
cs.CV
Channel pruning can significantly accelerate and compress deep neural
networks. Many channel pruning works utilize structured sparsity regularization
to zero out all the weights in some channels and automatically obtain
structure... | arxiv topic:cs.CV |
arxiv_dataset-113021905.11764 | Justification Based Reasoning in Dynamic Conflict Resolution
cs.MA
We study conflict situations that dynamically arise in traffic scenarios,
where different agents try to achieve their set of goals and have to decide on
what to do based on their local perception. We distinguish several types of
conflicts for this s... | arxiv topic:cs.MA |
arxiv_dataset-113031905.11864 | Sticking Properties of Silicates in Planetesimal Formation Revisited
astro-ph.EP
In the past, laboratory experiments and theoretical calculations showed a
mismatch in derived sticking properties of silicates in the context of
planetesimal formation. It has been proposed by Kimura et al. (2015) that this
mismatch is... | arxiv topic:astro-ph.EP |
arxiv_dataset-113041905.11964 | Reducibility of Schr\"odinger equation on the sphere
math.AP
In this article we prove a reducibility result for the linear Schr\"odinger
equation on the sphere $\mathbb{S}^{n}$ with quasi-periodic in time
perturbation. Our result includes the case of unbounded perturbation that we
assume to be of order strictly les... | arxiv topic:math.AP |
arxiv_dataset-113051905.12064 | Zero temperature ordering dynamics in two dimensional BNNNI model
cond-mat.stat-mech
We investigate the dynamics of a two dimensional bi-axial next nearest
neighbour Ising (BNNNI) model following a quench to zero temperature. The
Hamiltonian is given by $H = -J_0\sum_{i,j=1}^L
[(S_{i,j}S_{i+1,j}+S_{i,j}S_{i,j+1}) -... | arxiv topic:cond-mat.stat-mech |
arxiv_dataset-113061905.12164 | An Interactive Insight Identification and Annotation Framework for Power
Grid Pixel Maps using DenseU-Hierarchical VAE
cs.LG eess.IV stat.ML
Insights in power grid pixel maps (PGPMs) refer to important facility
operating states and unexpected changes in the power grid. Identifying insights
helps analysts understa... | arxiv topic:cs.LG eess.IV stat.ML |
arxiv_dataset-113071905.12264 | Privacy Amplification by Mixing and Diffusion Mechanisms
cs.LG cs.CR math.PR stat.ML
A fundamental result in differential privacy states that the privacy
guarantees of a mechanism are preserved by any post-processing of its output.
In this paper we investigate under what conditions stochastic post-processing
can am... | arxiv topic:cs.LG cs.CR math.PR stat.ML |
arxiv_dataset-113081905.12364 | Separators - a new statistic for permutations
math.CO
A digit $\pi_j$ in a permutation $\pi=[\pi_1,\ldots,\pi_n]\in S_n$ is defined
to be a separator of $\pi$ if by omitting it from $\pi$ we get a new $2-$block.
In this work we introduce a new statistic, the number of separators, on the
symmetric group $S_n$ and ca... | arxiv topic:math.CO |
arxiv_dataset-113091905.12464 | Approaching Adaptation Guided Retrieval in Case-Based Reasoning through
Inference in Undirected Graphical Models
cs.AI
In Case-Based Reasoning, when the similarity assumption does not hold, the
retrieval of a set of cases structurally similar to the query does not
guarantee to get a reusable or revisable solution... | arxiv topic:cs.AI |
arxiv_dataset-113101905.12564 | Correlation in Extensive-Form Games: Saddle-Point Formulation and
Benchmarks
cs.GT cs.MA
While Nash equilibrium in extensive-form games is well understood, very
little is known about the properties of extensive-form correlated equilibrium
(EFCE), both from a behavioral and from a computational point of view. In t... | arxiv topic:cs.GT cs.MA |
arxiv_dataset-113111905.12664 | CCM property and Lyubeznik numbers under Groebner deformations
math.AC
In this note we draw some interesting consequences of the recent results on
squarefree Groebner degenerations obtained by Conca and the second author.
| arxiv topic:math.AC |
arxiv_dataset-113121905.12764 | Field emission: Why converting LAFE voltages to macroscopic fields
before making a Fowler-Nordheim plot has often led to spurious
characterization results
physics.app-ph
An important parameter used to characterize large-area field electron
emitters (LAFEs) is the characteristic apex field enhancement factor
{\g... | arxiv topic:physics.app-ph |
arxiv_dataset-113131905.12864 | Interpretable Adversarial Training for Text
cs.LG cs.CL stat.ML
Generating high-quality and interpretable adversarial examples in the text
domain is a much more daunting task than it is in the image domain. This is due
partly to the discrete nature of text, partly to the problem of ensuring that
the adversarial exa... | arxiv topic:cs.LG cs.CL stat.ML |
arxiv_dataset-113141905.12964 | A bialternant formula for odd symplectic characters and its application
math.CO
We present a bialternant formula for odd symplectic characters, which are the
characters of indecomposable modules of odd symplectic groups introduced by R.
Proctor. As an application, we give a linear algebraic proof to an odd
symplect... | arxiv topic:math.CO |
arxiv_dataset-113151905.13064 | The Bloom Clock
cs.DC cs.DS
The bloom clock is a space-efficient, probabilistic data structure designed
to determine the partial order of events in highly distributed systems. The
bloom clock, like the vector clock, can autonomously detect causality
violations by comparing its logical timestamps. Unlike the vector ... | arxiv topic:cs.DC cs.DS |
arxiv_dataset-113161905.13164 | Hierarchical Transformers for Multi-Document Summarization
cs.CL cs.AI
In this paper, we develop a neural summarization model which can effectively
process multiple input documents and distill Transformer architecture with the
ability to encode documents in a hierarchical manner. We represent
cross-document relatio... | arxiv topic:cs.CL cs.AI |
arxiv_dataset-113171905.13264 | Using Metrics Suites to Improve the Measurement of Privacy in Graphs
cs.CR cs.PF cs.SI
Social graphs are widely used in research (e.g., epidemiology) and business
(e.g., recommender systems). However, sharing these graphs poses privacy risks
because they contain sensitive information about individuals. Graph
anonym... | arxiv topic:cs.CR cs.PF cs.SI |
arxiv_dataset-113181905.13364 | Can We Derive Explicit and Implicit Bias from Corpus?
cs.SI cs.CL cs.CY
Language is a popular resource to mine speakers' attitude bias, supposing
that speakers' statements represent their bias on concepts. However, psychology
studies show that people's explicit bias in statements can be different from
their implici... | arxiv topic:cs.SI cs.CL cs.CY |
arxiv_dataset-113191905.13464 | Effective writing style imitation via combinatorial paraphrasing
cs.CL
Stylometry can be used to profile or deanonymize authors against their will
based on writing style. Style transfer provides a defence. Current techniques
typically use either encoder-decoder architectures or rule-based algorithms.
Crucially, sty... | arxiv topic:cs.CL |
arxiv_dataset-113201905.13564 | A note on Gallai-Ramsey number of even wheels
math.CO
A Gallai coloring of a complete graph is an edge-coloring such that no
triangle has all its edges colored differently. A Gallai $k$-coloring is a
Gallai coloring that uses $k$ colors. Given a graph $H$ and an integer $k\geq
1$, the Gallai-Ramsey number $GR_k(H)$... | arxiv topic:math.CO |
arxiv_dataset-113211905.13664 | Stability and control of power grids with diluted network topology
nlin.AO cond-mat.stat-mech nlin.CD
In the present study we consider a random network of Kuramoto oscillators
with inertia in order to mimic and investigate the dynamics emerging in
high-voltage power grids. The corresponding natural frequencies are ... | arxiv topic:nlin.AO cond-mat.stat-mech nlin.CD |
arxiv_dataset-113221906.00014 | Detecting Dark Matter with Aharonov-Bohm
hep-ph hep-ex
While the evidence for dark matter continues to grow, the nature of the dark
matter remains a mystery. A dark $U(1)_D$ gauge theory can have a small kinetic
mixing with the visible photon which provides a portal to the dark sector.
Magnetic monopoles of the dar... | arxiv topic:hep-ph hep-ex |
arxiv_dataset-113231906.00114 | Examining Structure of Word Embeddings with PCA
cs.CL
In this paper we compare structure of Czech word embeddings for English-Czech
neural machine translation (NMT), word2vec and sentiment analysis. We show that
although it is possible to successfully predict part of speech (POS) tags from
word embeddings of word2v... | arxiv topic:cs.CL |
arxiv_dataset-113241906.00214 | Harnessing Reinforcement Learning for Neural Motion Planning
cs.RO cs.LG stat.ML
Motion planning is an essential component in most of today's robotic
applications. In this work, we consider the learning setting, where a set of
solved motion planning problems is used to improve the efficiency of motion
planning on d... | arxiv topic:cs.RO cs.LG stat.ML |
arxiv_dataset-113251906.00314 | A hybrid particle volume-of-fluid method for curvature estimation in
multiphase flows
physics.comp-ph cs.NA math.NA physics.flu-dyn
We present a particle method for estimating the curvature of interfaces in
volume-of-fluid simulations of multiphase flows. The method is well suited for
under-resolved interfaces, a... | arxiv topic:physics.comp-ph cs.NA math.NA physics.flu-dyn |
arxiv_dataset-113261906.00414 | Pretraining Methods for Dialog Context Representation Learning
cs.CL cs.AI
This paper examines various unsupervised pretraining objectives for learning
dialog context representations. Two novel methods of pretraining dialog context
encoders are proposed, and a total of four methods are examined. Each
pretraining ob... | arxiv topic:cs.CL cs.AI |
arxiv_dataset-113271906.00514 | Charge transfer statistics and qubit dynamics at tunneling Fermi-edge
singularity
cond-mat.str-el quant-ph
Tunneling of spinless electrons from a single-channel emitter into an empty
collector through an interacting resonant level of the quantum dot (QD) is
studied, when all Coulomb screening of charge variations... | arxiv topic:cond-mat.str-el quant-ph |
arxiv_dataset-113281906.00614 | Decentralized Spectrum Learning for IoT Wireless Networks Collision
Mitigation
cs.NI eess.SP
This paper describes the principles and implementation results of
reinforcement learning algorithms on IoT devices for radio collision mitigation
in ISM unlicensed bands. Learning is here used to improve both the IoT netw... | arxiv topic:cs.NI eess.SP |
arxiv_dataset-113291906.00714 | The role of pseudo-hypersurfaces in non-holonomic motion
math-ph gr-qc math.MP
The geometry of hypersurfaces is generalized to pseudo-hypersurfaces, which
are defined by Pfaff equations. The general methods are then applied to
modeling the kinematics of motion constrained by a single linear, non-holonomic
constrain... | arxiv topic:math-ph gr-qc math.MP |
arxiv_dataset-113301906.00814 | A luminous stellar outburst during a long-lasting eruptive phase first,
and then SN IIn 2018cnf
astro-ph.SR astro-ph.HE
We present the results of the monitoring campaign of the Type IIn supernova
(SN) 2018cnf (aka ASASSN-18mr). It was discovered about 10 days before the
maximum light (on MJD = 58293.4+-5.7 in the... | arxiv topic:astro-ph.SR astro-ph.HE |
arxiv_dataset-113311906.00914 | Generalizations of $k$-Weisfeiler-Leman stabilization
math.CO cs.DM
The family of Weisfeiler-Leman equivalences on graphs is a widely studied
approximation of graph isomorphism with many different characterizations. We
study these, and other approximations of isomorphism defined in terms of
refinement operators and... | arxiv topic:math.CO cs.DM |
arxiv_dataset-113321906.01014 | Extragalactic cosmic ray sources with very small contribution in the
particle flux on the Earth and their study
astro-ph.HE
Possible existence of extragalactic ultra-high energy cosmic ray sources
giving a very small particle flux on the Earth is considered. Accretion discs
around supermassive black holes where p... | arxiv topic:astro-ph.HE |
arxiv_dataset-113331906.01114 | On Romeo and Juliet Problems: Minimizing Distance-to-Sight
cs.CG cs.DS
We introduce a variant of the watchman route problem, which we call the
quickest pair-visibility problem. Given two persons standing at points $s$ and
$t$ in a simple polygon $P$ with no holes, we want to minimize the distance
they travel in ord... | arxiv topic:cs.CG cs.DS |
arxiv_dataset-113341906.01214 | Signatures of Helical Edge Transport in Millimetre-Scale Thin Films of
Na3Bi
cond-mat.mes-hall cond-mat.mtrl-sci
A two-dimensional topological insulator (2DTI) has an insulating bulk and
helical spin-polarised edge modes robust to backscattering by non-magnetic
disorder. While ballistic transport has been demonst... | arxiv topic:cond-mat.mes-hall cond-mat.mtrl-sci |
arxiv_dataset-113351906.01314 | Example-Guided Style Consistent Image Synthesis from Semantic Labeling
cs.CV
Example-guided image synthesis aims to synthesize an image from a semantic
label map and an exemplary image indicating style. We use the term "style" in
this problem to refer to implicit characteristics of images, for example: in
portraits... | arxiv topic:cs.CV |
arxiv_dataset-113361906.01414 | A finiteness theorem for special unitary groups of quaternionic
skew-hermitian forms with good reduction
math.AG
Given a field $K$ equipped with a set of discrete valuations $V$, we develop
a general theory to relate reduction properties of skew-hermitian forms over a
quaternion $K$-algebra $Q$ to quadratic forms... | arxiv topic:math.AG |
arxiv_dataset-113371906.01514 | Adaptive Region Embedding for Text Classification
cs.CL
Deep learning models such as convolutional neural networks and recurrent
networks are widely applied in text classification. In spite of their great
success, most deep learning models neglect the importance of modeling context
information, which is crucial to ... | arxiv topic:cs.CL |
arxiv_dataset-113381906.01614 | Confidence Regions in Wasserstein Distributionally Robust Estimation
math.ST math.OC stat.ML stat.TH
Wasserstein distributionally robust optimization estimators are obtained as
solutions of min-max problems in which the statistician selects a parameter
minimizing the worst-case loss among all probability models wit... | arxiv topic:math.ST math.OC stat.ML stat.TH |
arxiv_dataset-113391906.01714 | An optimization framework for resilient batch estimation in
Cyber-Physical Systems
eess.SY cs.SY
This paper proposes a class of resilient state estimators for LTV
discrete-time systems. The dynamic equation of the system is assumed to be
affected by a bounded process noise. As to the available measurements, they ... | arxiv topic:eess.SY cs.SY |
arxiv_dataset-113401906.01814 | Pattern Formation Mechanism of Directionally-Solidified MoSi2/Mo5Si3
Eutectic by Phase-Field Simulation
cond-mat.mtrl-sci
A phase-field study has been conducted to obtain an understanding of the
formation mechanism of the script lamellar pattern of MoSi2/Mo5Si3 eutectic
composite, which is a promising candidate f... | arxiv topic:cond-mat.mtrl-sci |
arxiv_dataset-113411906.01914 | Lie groups as 3-dimensional almost paracontact almost paracomplex
Riemannian manifolds
math.DG
Almost paracontact almost paracomplex Riemannian manifolds of the lowest
dimension 3 are considered. Such structures are constructed on a family of Lie
groups and the obtained manifolds are studied. Curvature properties... | arxiv topic:math.DG |
arxiv_dataset-113421906.02014 | Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models
using the Ensemble Kalman Filter
stat.CO stat.ME
Particle Markov chain Monte Carlo (pMCMC) is now a popular method for
performing Bayesian statistical inference on challenging state space models
(SSMs) with unknown static parameters. It uses ... | arxiv topic:stat.CO stat.ME |
arxiv_dataset-113431906.02114 | A Games-in-Games Approach to Mosaic Command and Control Design of
Dynamic Network-of-Networks for Secure and Resilient Multi-Domain Operations
eess.SY cs.SY
This paper presents a games-in-games approach to provide design guidelines
for mosaic command and control that enables the secure and resilient
multi-domain ... | arxiv topic:eess.SY cs.SY |
arxiv_dataset-113441906.02214 | A Pathfinder for Imaging Extrasolar Earths from the Ground
astro-ph.EP astro-ph.IM
The Subaru Coronagraphic Extreme Adaptive Optics (SCExAO) project is an
instrument on the Subaru telescope that is pushing the frontiers of what is
possible with ground-based high-contrast imaging of extrasolar planets. The
system fe... | arxiv topic:astro-ph.EP astro-ph.IM |
arxiv_dataset-113451906.02314 | A Tunable Loss Function for Robust Classification: Calibration,
Landscape, and Generalization
cs.LG stat.ML
We introduce a tunable loss function called $\alpha$-loss, parameterized by
$\alpha \in (0,\infty]$, which interpolates between the exponential loss
($\alpha = 1/2$), the log-loss ($\alpha = 1$), and the 0-... | arxiv topic:cs.LG stat.ML |
arxiv_dataset-113461906.02414 | The effects of finite distance on the gravitational deflection angle of
light
gr-qc
In order to clarify effects of the finite distance from a lens object to a
light source and a receiver, the gravitational deflection of light has been
recently reexamined by using the Gauss-Bonnet (GB) theorem in differential
geom... | arxiv topic:gr-qc |
arxiv_dataset-113471906.02514 | Ihara Zeta Entropy
math-ph cs.DM cs.IT math.CO math.DS math.IT math.MP
In this article, we introduce an entropy based on the formal power series
expansion of the Ihara Zeta function. We find a number of inequalities based on
the values of the Ihara zeta function. These new entropies are applicable in
symbolic dynam... | arxiv topic:math-ph cs.DM cs.IT math.CO math.DS math.IT math.MP |
arxiv_dataset-113481906.02614 | Hawking radiation, quantum fields, and tunneling
hep-th gr-qc
I consider the problem of reconciling "tunneling" approaches to black-hole
radiation with the treatment by quantum field theory in curved space-time. It
is not possible to do this completely, but using what appears to be the most
direct and natural corre... | arxiv topic:hep-th gr-qc |
arxiv_dataset-113491906.02714 | The CKM unitarity problem: A trace of new physics at the TeV scale?
hep-ph hep-lat nucl-th
After the recent high precision determinations of $V_{us}$ and $V_{ud}$, the
first row of the CKM matrix shows more than $4\sigma$ deviation from unitarity.
Two possible scenarios beyond the Standard Model can be investigated... | arxiv topic:hep-ph hep-lat nucl-th |
arxiv_dataset-113501906.02814 | Hardy-space function theory, operator model theory, and dissipative
linear systems: the multivariable, free-noncommutative, weighted
Bergman-space setting
math.FA
It is known that (i) a subspace ${\mathcal N}$ of the Hardy space $H^2$ which
is invariant under the backward shift operator can be represented as th... | arxiv topic:math.FA |
arxiv_dataset-113511906.02914 | Fast and Simple Natural-Gradient Variational Inference with Mixture of
Exponential-family Approximations
stat.ML cs.LG
Natural-gradient methods enable fast and simple algorithms for variational
inference, but due to computational difficulties, their use is mostly limited
to \emph{minimal} exponential-family (EF) ... | arxiv topic:stat.ML cs.LG |
arxiv_dataset-113521906.03014 | Van der Waals solid phase epitaxy to grow large-area manganese-doped
MoSe$_2$ few-layers on SiO$_2$/Si
cond-mat.mtrl-sci
Large-area growth of continuous transition metal dichalcogenides (TMDCs)
layers is a prerequisite to transfer their exceptional electronic and optical
properties into practical devices. It stil... | arxiv topic:cond-mat.mtrl-sci |
arxiv_dataset-113531906.03114 | Collaborating with Users in Proximity for Decentralized Mobile
Recommender Systems
cs.IR cs.SI
Typically, recommender systems from any domain, be it movies, music,
restaurants, etc., are organized in a centralized fashion. The service provider
holds all the data, biases in the recommender algorithms are not trans... | arxiv topic:cs.IR cs.SI |
arxiv_dataset-113541906.03214 | Importance Weighted Adversarial Variational Autoencoders for Spike
Inference from Calcium Imaging Data
cs.LG eess.IV stat.ML
The Importance Weighted Auto Encoder (IWAE) objective has been shown to
improve the training of generative models over the standard Variational Auto
Encoder (VAE) objective. Here, we derive... | arxiv topic:cs.LG eess.IV stat.ML |
arxiv_dataset-113551906.03314 | Secrets of the Brain: An Introduction to the Brain Anatomical Structure
and Biological Function
q-bio.NC cs.NE
In this paper, we will provide an introduction to the brain structure and
function. Brain is an astonishing living organ inside our heads, weighing about
1.5kg, consisting of billions of tiny cells. The ... | arxiv topic:q-bio.NC cs.NE |
arxiv_dataset-113561906.03414 | Overlap of electron shells in $\beta$ and double-$\beta$ decays
hep-ph nucl-th
The $\beta$ and double-$\beta$ decay channels, which are not accompanied by
excitation of the electron shells, are suppressed due to the nonorthogonality
of the electron wave functions of the parent and daughter atoms. The effect is
sens... | arxiv topic:hep-ph nucl-th |
arxiv_dataset-113571906.03514 | Revealing the system-bath coupling via Landau-Zener-St\"uckelberg
interferometry in superconducting qubits
quant-ph cond-mat.mes-hall
In this work we propose a way to unveil the type of environmental noise in
strongly driven superconducting flux qubits through the analysis of the
Landau-Zener-St\"uckelberg (LZS) ... | arxiv topic:quant-ph cond-mat.mes-hall |
arxiv_dataset-113581906.03614 | m_c and m_b from M_B_c and improved estimate of f_B_c and f_B_c (2S)
hep-ph hep-ex hep-lat
We extract (for the first time) the correlated values of the running masses
m_c and m_b from M_Bc using QCD Laplace sum rules (LSR) within stability
criteria where pertubative (PT) expressions at N2LO and non-perturbative (NP... | arxiv topic:hep-ph hep-ex hep-lat |
arxiv_dataset-113591906.03714 | Modeling Excess Deaths After a Natural Disaster with Application to
Hurricane Maria
stat.AP stat.ME
Estimation of excess deaths due to a natural disaster is an important public
health problem. The CDC provides guidelines to fill death certificates to help
determine the death toll of such events. But, even when fo... | arxiv topic:stat.AP stat.ME |
arxiv_dataset-113601906.03814 | Learned Conjugate Gradient Descent Network for Massive MIMO Detection
eess.SP cs.IT cs.LG math.IT stat.ML
In this work, we consider the use of model-driven deep learning techniques
for massive multiple-input multiple-output (MIMO) detection. Compared with
conventional MIMO systems, massive MIMO promises improved sp... | arxiv topic:eess.SP cs.IT cs.LG math.IT stat.ML |
arxiv_dataset-113611906.03914 | Extension of a Diophantine triple with the property $D(4)$
math.NT
In this paper, we give an upper bound on the number of extensions of a triple
to a quadruple for the Diophantine $m$-tuples with the property $D(4)$. We also
confirm the conjecture of the uniqueness of such an extension in some special
cases.
| arxiv topic:math.NT |
arxiv_dataset-113621906.04014 | Quarkonium Phenomenology from a Generalised Gauss Law
hep-ph hep-lat nucl-th
We present an improved analytic parametrisation of the complex in-medium
heavy quark potential derived rigorously from the generalised Gauss law. To
this end we combine in a self-consistent manner a non-perturbative vacuum
potential with a... | arxiv topic:hep-ph hep-lat nucl-th |
arxiv_dataset-113631906.04114 | Arithmetic Chern-Simons theory for arithmetic schemes
math.NT
In this paper, we generalize the arithmetic Chern-Simons theory to regular
flat separated schemes of finite type over rings of integers of number fields
by applying the duality theorems for arithmetic schemes.
| arxiv topic:math.NT |
arxiv_dataset-113641906.04214 | Topology Attack and Defense for Graph Neural Networks: An Optimization
Perspective
cs.LG cs.CR cs.SI stat.ML
Graph neural networks (GNNs) which apply the deep neural networks to graph
data have achieved significant performance for the task of semi-supervised node
classification. However, only few work has address... | arxiv topic:cs.LG cs.CR cs.SI stat.ML |
arxiv_dataset-113651906.04314 | The shape of shortest paths in random spatial networks
cond-mat.stat-mech cond-mat.dis-nn math.PR physics.soc-ph
In the classic model of first passage percolation, for pairs of vertices
separated by a Euclidean distance $L$, geodesics exhibit deviations from their
mean length $L$ that are of order $L^\chi$, while t... | arxiv topic:cond-mat.stat-mech cond-mat.dis-nn math.PR physics.soc-ph |
arxiv_dataset-113661906.04414 | Iron Embedded Magnetic Nanodiamonds for in vivo MRI Contrast Enhancement
physics.med-ph physics.bio-ph
Although nanodiamonds have long being considered as a potential tool for
biomedical research, the practical in vivo application of nanodiamonds remains
relatively unexplored. In this paper, we present the first ap... | arxiv topic:physics.med-ph physics.bio-ph |
arxiv_dataset-113671906.04514 | Simultaneously preperiodic integers for quadratic polynomials
math.DS
In this article, we study the set of parameters $c \in \mathbb{C}$ for which
two given complex numbers $a$ and $b$ are simultaneously preperiodic for the
quadratic polynomial $f_{c}(z) = z^{2} +c$. Combining complex-analytic and
arithmetic argume... | arxiv topic:math.DS |
arxiv_dataset-113681906.04614 | Re-exploring Molecular Complexity with ALMA (ReMoCA): Interstellar
detection of urea
astro-ph.GA
Urea, NH2C(O)NH2, is a molecule of great importance in organic chemistry and
biology. Two searches for urea in the interstellar medium were reported in the
past, but neither were conclusive. We want to take advantage ... | arxiv topic:astro-ph.GA |
arxiv_dataset-113691906.04714 | Deep Neural Networks for Surface Segmentation Meet Conditional Random
Fields
cs.CV cs.LG
Automated surface segmentation is important and challenging in many medical
image analysis applications. Recent deep learning based methods have been
developed for various object segmentation tasks. Most of them are a
classif... | arxiv topic:cs.CV cs.LG |
arxiv_dataset-113701906.04814 | Relating microswimmer synthesis to rheotactic tunability
cond-mat.soft
We explore the behavior of micron-scale autophoretic Janus (Au/Pt) rods,
having various Au/Pt length ratios, swimming near a wall in an imposed
background flow. We find that their ability to robustly orient and move
upstream, i.e. to rheotax, de... | arxiv topic:cond-mat.soft |
arxiv_dataset-113711906.04914 | From Fully Supervised to Zero Shot Settings for Twitter Hashtag
Recommendation
cs.IR cs.CL cs.LG stat.ML
We propose a comprehensive end-to-end pipeline for Twitter hashtags
recommendation system including data collection, supervised training setting
and zero shot training setting. In the supervised training setti... | arxiv topic:cs.IR cs.CL cs.LG stat.ML |
arxiv_dataset-113721906.05014 | Structure-adaptive manifold estimation
math.ST stat.ML stat.TH
We consider a problem of manifold estimation from noisy observations. Many
manifold learning procedures locally approximate a manifold by a weighted
average over a small neighborhood. However, in the presence of large noise, the
assigned weights become ... | arxiv topic:math.ST stat.ML stat.TH |
arxiv_dataset-113731906.05114 | Impact of electron capture rates on nuclei far from stability on
core-collapse supernovae
astro-ph.HE nucl-th
The impact of electron-capture (EC) cross sections on neutron-rich nuclei on
the dynamics of core-collapse during infall and early post-bounce is studied
performing spherically symmetric simulations in ge... | arxiv topic:astro-ph.HE nucl-th |
arxiv_dataset-113741906.05214 | Nanowire single-photon detectors made of atomic layer-deposited niobium
nitride
physics.ins-det cond-mat.supr-con
We demonstrate and characterize first superconducting nanowire single-photon
detectors (SNSPDs) made from atomic layer-deposited (ALD) NbN layers. To assess
the suitability of these films as a detecto... | arxiv topic:physics.ins-det cond-mat.supr-con |
arxiv_dataset-113751906.05314 | Quantum imaging using relativistic detectors
quant-ph physics.optics
Imaging in quantum optics (QO) is usually formulated in the languages of
quantum mechanics and Fourier optics. While relatively advanced fields, notions
such as different reference frames and the degradation of entanglement due to
acceleration do ... | arxiv topic:quant-ph physics.optics |
arxiv_dataset-113761906.05414 | Fast, reliable and unrestricted iterative computation of Gauss--Hermite
and Gauss--Laguerre quadratures
math.NA cs.NA math.CA
Methods for the computation of classical Gaussian quadrature rules are
described which are effective both for small and large degree. These methods
are reliable because the iterative compu... | arxiv topic:math.NA cs.NA math.CA |
arxiv_dataset-113771906.05514 | Avalanches impede synchronization of jammed oscillators
nlin.AO cond-mat.stat-mech physics.bio-ph
Synchrony is inevitable in many oscillating systems -- from the canonical
alignment of two ticking grandfather clocks, to the mutual entrainment of
beating flagella or spiking neurons. Yet both biological and manmade s... | arxiv topic:nlin.AO cond-mat.stat-mech physics.bio-ph |
arxiv_dataset-113781906.05614 | An Asymmetric Random Rado Theorem: 1-statement
math.CO
A classical result by Rado characterises the so-called partition-regular
matrices $A$, i.e.\ those matrices $A$ for which any finite colouring of the
positive integers yields a monochromatic solution to the equation $Ax=0$. We
study the {\sl asymmetric} random ... | arxiv topic:math.CO |
arxiv_dataset-113791906.05714 | A Multiscale Visualization of Attention in the Transformer Model
cs.HC cs.CL cs.LG
The Transformer is a sequence model that forgoes traditional recurrent
architectures in favor of a fully attention-based approach. Besides improving
performance, an advantage of using attention is that it can also help to
interpret a... | arxiv topic:cs.HC cs.CL cs.LG |
arxiv_dataset-113801906.05814 | The application of muon tomography to the imaging of railway tunnels
physics.ins-det physics.geo-ph
Cosmic Ray Muon Radiography utilizes highly-penetrating cosmic ray muons to
image the density profile of an object of interest. Here we report on the first
trial to use a portable field-deployable cosmic ray tracking... | arxiv topic:physics.ins-det physics.geo-ph |
arxiv_dataset-113811906.05914 | Uniqueness of bubbling solutions of mean field equations with
non-quantized singularities
math.AP
For singular mean field equations defined on a compact Riemann surface, we
prove the uniqueness of bubbling solutions if some blowup points coincide with
bubbling sources. If the strength of the bubbling sources at b... | arxiv topic:math.AP |
arxiv_dataset-113821906.06014 | Quantitative Comparison of Time-Dependent Treemaps
cs.CG
Rectangular treemaps are often the method of choice to visualize large
hierarchical datasets. Nowadays such datasets are available over time, hence
there is a need for (a) treemaps that can handle time-dependent data, and (b)
corresponding quality criteria th... | arxiv topic:cs.CG |
arxiv_dataset-113831906.06114 | GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for
Unsupervised Alzheimer's Disease Diagnosis
eess.IV cs.CV
Unsupervised learning can discover various unseen diseases, relying on
large-scale unannotated medical images of healthy subjects. Towards this,
unsupervised methods reconstruct a single medical... | arxiv topic:eess.IV cs.CV |
arxiv_dataset-113841906.06214 | Collective Modes of a Photon Bose-Einstein Condensate with Thermo-Optic
Interaction
cond-mat.quant-gas
Although for photon Bose-Einstein condensates the main mechanism of the
observed photon-photon interaction has already been identified to be of
thermo-optic nature, its influence on the condensate dynamics is st... | arxiv topic:cond-mat.quant-gas |
arxiv_dataset-113851906.06314 | Eclipse: Generalizing kNN and Skyline
cs.DB
$k$ nearest neighbor ($k$NN) queries and skyline queries are important
operators on multi-dimensional data points. Given a query point, $k$NN query
returns the $k$ nearest neighbors based on a scoring function such as a
weighted sum of the attributes, which requires prede... | arxiv topic:cs.DB |
arxiv_dataset-113861906.06414 | Cellular Memristive-Output Reservoir (CMOR)
cs.ET
Reservoir computing is a subfield of machine learning in which a complex
system, or 'reservoir,' uses complex internal dynamics to non-linearly project
an input into a higher-dimensional space. A single trainable output layer then
inspects this high-dimensional spac... | arxiv topic:cs.ET |
arxiv_dataset-113871906.06514 | PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion
Prediction
cs.CV
Human motion prediction, which aims to predict future human poses given past
poses, has recently seen increased interest. Many recent approaches are based
on Recurrent Neural Networks (RNN) which model human poses with exponent... | arxiv topic:cs.CV |
arxiv_dataset-113881906.06614 | The Anatomy of Requirements
cs.SE
Requirements engineering is crucial to software development but lacks a
precise definition of its fundamental concepts. Even the basic definitions in
the literature and in industry standards are often vague and verbose. To remedy
this situation and provide a solid basis for discuss... | arxiv topic:cs.SE |
arxiv_dataset-113891906.06714 | Bayesian Inference for Finite Populations Under Spatial Process Settings
stat.AP
We develop a Bayesian model-based approach to finite population estimation
accounting for spatial dependence. Our innovation here is a framework that
achieves inference for finite population quantities in spatial process
settings. A ke... | arxiv topic:stat.AP |
arxiv_dataset-113901906.06814 | Wiener index and Harary index on pancyclic graphs
math.CO
Wiener index and Harary index are two classic and well-known topological
indices for the characterization of molecular graphs. Recently, Yu et al.
\cite{YYSX} established some sufficient conditions for a graph to be pancyclic
in terms of the edge number, the... | arxiv topic:math.CO |
arxiv_dataset-113911906.06914 | Variational Inference with Numerical Derivatives: variance reduction
through coupling
stat.CO stat.ML
The Black Box Variational Inference (Ranganath et al. (2014)) algorithm
provides a universal method for Variational Inference, but taking advantage of
special properties of the approximation family or of the targ... | arxiv topic:stat.CO stat.ML |
arxiv_dataset-113921906.07014 | A solution of the van Dam-Veltman-Zakharov discontinuity problem in the
frame of the Poincare-covariant field gravitation theory
gr-qc
The van Dam-Veltman-Zakharov (vDVZ) mass discontinuity problem can be solved
in the frame of the linear approximation of the Poincare-covariant second rank
symmetric tensor field ... | arxiv topic:gr-qc |
arxiv_dataset-113931906.07114 | Doppler-free saturation of the cascade fluorescence that follows
excitation of the $5s \to 6p $ transition in atomic rubidium
physics.atom-ph
We present an experimental scheme that produces Doppler-free spectra of the
$5s \to 6p $ second resonance transition in atomic rubidium. The experiment
uses the saturation ... | arxiv topic:physics.atom-ph |
arxiv_dataset-113941906.07214 | Hardware Aware Neural Network Architectures using FbNet
cs.CV stat.ML
We implement a differentiable Neural Architecture Search (NAS) method
inspired by FBNet for discovering neural networks that are heavily optimized
for a particular target device. The FBNet NAS method discovers a neural network
from a given search... | arxiv topic:cs.CV stat.ML |
arxiv_dataset-113951906.07314 | Anomalous spin-orbit field via Rashba-Edelstein effect at W/Pt interface
cond-mat.mes-hall
We have studied spin-orbit (SO) field in Ni$_{80}$Fe$_{20}$(Py)/W/Pt trilayer
by means of spin-torque ferromagnetic resonance, and demonstrated that the W/Pt
interface generates an extra SO field acting on the Py layer. This
... | arxiv topic:cond-mat.mes-hall |
arxiv_dataset-113961906.07414 | A Unified Speaker Adaptation Method for Speech Synthesis using
Transcribed and Untranscribed Speech with Backpropagation
eess.AS cs.CL cs.LG cs.SD
By representing speaker characteristic as a single fixed-length vector
extracted solely from speech, we can train a neural multi-speaker speech
synthesis model by cond... | arxiv topic:eess.AS cs.CL cs.LG cs.SD |
arxiv_dataset-113971906.07514 | Bayes Extended Estimators for Curved Exponential Families
math.ST stat.TH
The Bayesian predictive density has complex representation and does not
belong to any finite-dimensional statistical model except for in limited
situations. In this paper, we introduce its simple approximate representation
employing its proje... | arxiv topic:math.ST stat.TH |
arxiv_dataset-113981906.07614 | Discrimination emerging through spontaneous symmetry breaking in a
spatial prisoner's dilemma model with multiple labels
nlin.AO cond-mat.stat-mech physics.soc-ph q-bio.PE
Social discrimination seems to be a persistent phenomenon in many cultures.
It is important to understand the mechanisms that lead people to j... | arxiv topic:nlin.AO cond-mat.stat-mech physics.soc-ph q-bio.PE |
arxiv_dataset-113991906.07714 | Representation of Locally Convex Partial *-algebraic Modules
math.OA math.FA
In this paper, we introduce a new notion of representation for a locally
convex partial *-algebraic module as a concrete space of maps. This is a
continuation of our systematic study of locally convex partial *-algebraic
modules, which are... | arxiv topic:math.OA math.FA |
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