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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Special Lagrangian submanifolds and cohomogeneity one actions on the complex projective space | We construct examples of cohomogeneity one special Lagrangian submanifolds in
the cotangent bundle over the complex projective space, whose Calabi-Yau
structure was given by Stenzel. For each example, we describe the condition of
special Lagrangian as an ordinary differential equation. Our method is based on
a moment... | 0 | 0 | 1 | 0 | 0 | 0 |
Linear Regression with Sparsely Permuted Data | In regression analysis of multivariate data, it is tacitly assumed that
response and predictor variables in each observed response-predictor pair
correspond to the same entity or unit. In this paper, we consider the situation
of "permuted data" in which this basic correspondence has been lost. Several
recent papers h... | 0 | 0 | 1 | 1 | 0 | 0 |
Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods | In this paper, we study matrix scaling and balancing, which are fundamental
problems in scientific computing, with a long line of work on them that dates
back to the 1960s. We provide algorithms for both these problems that, ignoring
logarithmic factors involving the dimension of the input matrix and the size of
its ... | 1 | 0 | 0 | 0 | 0 | 0 |
AP17-OLR Challenge: Data, Plan, and Baseline | We present the data profile and the evaluation plan of the second oriental
language recognition (OLR) challenge AP17-OLR. Compared to the event last year
(AP16-OLR), the new challenge involves more languages and focuses more on short
utterances. The data is offered by SpeechOcean and the NSFC M2ASR project. Two
types... | 1 | 0 | 0 | 0 | 0 | 0 |
First results from the IllustrisTNG simulations: the stellar mass content of groups and clusters of galaxies | The IllustrisTNG project is a new suite of cosmological
magneto-hydrodynamical simulations of galaxy formation performed with the Arepo
code and updated models for feedback physics. Here we introduce the first two
simulations of the series, TNG100 and TNG300, and quantify the stellar mass
content of about 4000 massiv... | 0 | 1 | 0 | 0 | 0 | 0 |
A Fast Implementation of Singular Value Thresholding Algorithm using Recycling Rank Revealing Randomized Singular Value Decomposition | In this paper, we present a fast implementation of the Singular Value
Thresholding (SVT) algorithm for matrix completion. A rank-revealing randomized
singular value decomposition (R3SVD) algorithm is used to adaptively carry out
partial singular value decomposition (SVD) to fast approximate the SVT operator
given a d... | 1 | 0 | 0 | 0 | 0 | 0 |
Surface magnetism of gallium arsenide nanofilms | Gallium arsenide (GaAs) is the widest used second generation semiconductor
with a direct band gap and increasingly used as nanofilms. However, the
magnetic properties of GaAs nanofilms have never been studied. Here we find by
comprehensive density functional theory calculations that GaAs nanofilms
cleaved along the <... | 0 | 1 | 0 | 0 | 0 | 0 |
Monte Carlo study of the Coincidence Resolving Time of a liquid xenon PET scanner, using Cherenkov radiation | In this paper we use detailed Monte Carlo simulations to demonstrate that
liquid xenon (LXe) can be used to build a Cherenkov-based TOF-PET, with an
intrinsic coincidence resolving time (CRT) in the vicinity of 10 ps. This
extraordinary performance is due to three facts: a) the abundant emission of
Cherenkov photons ... | 0 | 1 | 0 | 0 | 0 | 0 |
Detecting Hierarchical Ties Using Link-Analysis Ranking at Different Levels of Time Granularity | Social networks contain implicit knowledge that can be used to infer
hierarchical relations that are not explicitly present in the available data.
Interaction patterns are typically affected by users' social relations. We
present an approach to inferring such information that applies a link-analysis
ranking algorithm... | 1 | 1 | 0 | 0 | 0 | 0 |
Optimal stimulation protocol in a bistable synaptic consolidation model | Consolidation of synaptic changes in response to neural activity is thought
to be fundamental for memory maintenance over a timescale of hours. In
experiments, synaptic consolidation can be induced by repeatedly stimulating
presynaptic neurons. However, the effectiveness of such protocols depends
crucially on the rep... | 0 | 0 | 0 | 0 | 1 | 0 |
Parametric Polynomial Preserving Recovery on Manifolds | This paper investigates gradient recovery schemes for data defined on
discretized manifolds. The proposed method, parametric polynomial preserving
recovery (PPPR), does not require the tangent spaces of the exact manifolds
which have been assumed for some significant gradient recovery methods in the
literature. Anoth... | 0 | 0 | 1 | 0 | 0 | 0 |
Integral points on the complement of plane quartics | Let $Y$ be the complement of a plane quartic curve $D$ defined over a number
field. Our main theorem confirms the Lang-Vojta conjecture for $Y$ when $D$ is
a generic smooth quartic curve, by showing that its integral points are
confined in a curve except for a finite number of exceptions. The required
finiteness will... | 0 | 0 | 1 | 0 | 0 | 0 |
Modelling collective motion based on the principle of agency | Collective motion is an intriguing phenomenon, especially considering that it
arises from a set of simple rules governing local interactions between
individuals. In theoretical models, these rules are normally \emph{assumed} to
take a particular form, possibly constrained by heuristic arguments. We propose
a new clas... | 0 | 0 | 0 | 1 | 0 | 0 |
Cosmic Microwave Background constraints for global strings and global monopoles | We present the first CMB power spectra from numerical simulations of the
global O(N) linear $\sigma$-model with N = 2,3, which have global strings and
monopoles as topological defects. In order to compute the CMB power spectra we
compute the unequal time correlators (UETCs) of the energy-momentum tensor,
showing that... | 0 | 1 | 0 | 0 | 0 | 0 |
A parallel implementation of the Synchronised Louvain method | Community detection in networks is a very actual and important field of
research with applications in many areas. But, given that the amount of
processed data increases more and more, existing algorithms need to be adapted
for very large graphs. The objective of this project was to parallelise the
Synchronised Louvai... | 1 | 0 | 0 | 0 | 0 | 0 |
Index coding with erroneous side information | In this paper, new index coding problems are studied, where each receiver has
erroneous side information. Although side information is a crucial part of
index coding, the existence of erroneous side information has not yet been
considered. We study an index code with receivers that have erroneous side
information sym... | 1 | 0 | 0 | 0 | 0 | 0 |
HATS-36b and 24 other transiting/eclipsing systems from the HATSouth - K2 Campaign 7 program | We report on the result of a campaign to monitor 25 HATSouth candidates using
the K2 space telescope during Campaign 7 of the K2 mission. We discover
HATS-36b (EPIC 215969174b), a hot Jupiter with a mass of 2.79$\pm$0.40 M$_J$
and a radius of 1.263$\pm$0.045 R$_J$ which transits a solar-type G0V star
(V=14.386) in a ... | 0 | 1 | 0 | 0 | 0 | 0 |
The Carnegie-Chicago Hubble Program: Discovery of the Most Distant Ultra-faint Dwarf Galaxy in the Local Universe | Ultra-faint dwarf galaxies (UFDs) are the faintest known galaxies and due to
their incredibly low surface brightness, it is difficult to find them beyond
the Local Group. We report a serendipitous discovery of an UFD, Fornax UFD1, in
the outskirts of NGC 1316, a giant galaxy in the Fornax cluster. The new galaxy
is l... | 0 | 1 | 0 | 0 | 0 | 0 |
An Exploratory Study on the Implementation and Adoption of ERP Solutions for Businesses | Enterprise Resource Planning (ERP) systems have been covered in both
mainstream Information Technology (IT) periodicals, and in academic literature,
as a result of extensive adoption by organisations in the last two decades.
Some of the past studies have reported operational efficiency and other gains,
while other st... | 1 | 0 | 0 | 0 | 0 | 0 |
Selective inference for the problem of regions via multiscale bootstrap | A general approach to selective inference is considered for hypothesis
testing of the null hypothesis represented as an arbitrary shaped region in the
parameter space of multivariate normal model. This approach is useful for
hierarchical clustering where confidence levels of clusters are calculated only
for those app... | 0 | 0 | 1 | 1 | 0 | 0 |
Arbitrary Beam Synthesis of Different Hybrid Beamforming Systems | For future mmWave mobile communication systems the use of analog/hybrid
beamforming is envisioned be a key as- pect. The synthesis of beams is a key
technology of enable the best possible operation during beamsearch, data
transmission and MU MIMO operation. The developed method for synthesizing beams
is based on prev... | 1 | 0 | 0 | 0 | 0 | 0 |
The emergence of the concept of filter in topological categories | In all approaches to convergence where the concept of filter is taken as
primary, the usual motivation is the notion of neighborhood filter in a
topological space. However, these approaches often lead to spaces more general
than topological ones, thereby calling into question the need to use filters in
the first plac... | 0 | 0 | 1 | 0 | 0 | 0 |
Memory-augmented Neural Machine Translation | Neural machine translation (NMT) has achieved notable success in recent
times, however it is also widely recognized that this approach has limitations
with handling infrequent words and word pairs. This paper presents a novel
memory-augmented NMT (M-NMT) architecture, which stores knowledge about how
words (usually i... | 1 | 0 | 0 | 0 | 0 | 0 |
RFID Localisation For Internet Of Things Smart Homes: A Survey | The Internet of Things (IoT) enables numerous business opportunities in
fields as diverse as e-health, smart cities, smart homes, among many others.
The IoT incorporates multiple long-range, short-range, and personal area
wireless networks and technologies into the designs of IoT applications.
Localisation in indoor ... | 1 | 0 | 0 | 0 | 0 | 0 |
Symplectic capacities from positive S^1-equivariant symplectic homology | We use positive S^1-equivariant symplectic homology to define a sequence of
symplectic capacities c_k for star-shaped domains in R^{2n}. These capacities
are conjecturally equal to the Ekeland-Hofer capacities, but they satisfy
axioms which allow them to be computed in many more examples. In particular, we
give combi... | 0 | 0 | 1 | 0 | 0 | 0 |
Synthesis versus analysis in patch-based image priors | In global models/priors (for example, using wavelet frames), there is a well
known analysis vs synthesis dichotomy in the way signal/image priors are
formulated. In patch-based image models/priors, this dichotomy is also present
in the choice of how each patch is modeled. This paper shows that there is
another analys... | 1 | 0 | 0 | 0 | 0 | 0 |
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks | We prove new upper and lower bounds on the VC-dimension of deep neural
networks with the ReLU activation function. These bounds are tight for almost
the entire range of parameters. Letting $W$ be the number of weights and $L$ be
the number of layers, we prove that the VC-dimension is $O(W L \log(W))$, and
provide exa... | 1 | 0 | 0 | 0 | 0 | 0 |
Benchmarking Numerical Methods for Lattice Equations with the Toda Lattice | We compare performances of well-known numerical time-stepping methods that
are widely used to compute solutions of the doubly-infinite
Fermi-Pasta-Ulam-Tsingou (FPUT) lattice equations. The methods are benchmarked
according to (1) their accuracy in capturing the soliton peaks and (2) in
capturing highly-oscillatory p... | 0 | 1 | 0 | 0 | 0 | 0 |
Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT? | Due to its wide field of view, cone-beam computed tomography (CBCT) is
plagued by large amounts of scatter, where attenuated photons hit the detector,
and corrupt the linear models used for reconstruction. Given that one can
generate a good estimate of scatter however, then image accuracy can be
retained. In the cont... | 0 | 1 | 0 | 0 | 0 | 0 |
Proactive Defense Against Physical Denial of Service Attacks using Poisson Signaling Games | While the Internet of things (IoT) promises to improve areas such as energy
efficiency, health care, and transportation, it is highly vulnerable to
cyberattacks. In particular, distributed denial-of-service (DDoS) attacks
overload the bandwidth of a server. But many IoT devices form part of
cyber-physical systems (CP... | 1 | 0 | 0 | 0 | 0 | 0 |
The weakly compact reflection principle need not imply a high order of weak compactness | The weakly compact reflection principle $\text{Refl}_{\text{wc}}(\kappa)$
states that $\kappa$ is a weakly compact cardinal and every weakly compact
subset of $\kappa$ has a weakly compact proper initial segment. The weakly
compact reflection principle at $\kappa$ implies that $\kappa$ is an
$\omega$-weakly compact c... | 0 | 0 | 1 | 0 | 0 | 0 |
Large scale distributed neural network training through online distillation | Techniques such as ensembling and distillation promise model quality
improvements when paired with almost any base model. However, due to increased
test-time cost (for ensembles) and increased complexity of the training
pipeline (for distillation), these techniques are challenging to use in
industrial settings. In th... | 0 | 0 | 0 | 1 | 0 | 0 |
New method to design stellarator coils without the winding surface | Finding an easy-to-build coils set has been a critical issue for stellarator
design for decades. Conventional approaches assume a toroidal "winding"
surface. We'll investigate if the existence of winding surface unnecessarily
constrains the optimization, and a new method to design coils for stellarators
is presented.... | 0 | 1 | 0 | 0 | 0 | 0 |
An Analytical Framework for Modeling a Spatially Repulsive Cellular Network | We propose a new cellular network model that captures both deterministic and
random aspects of base station deployments. Namely, the base station locations
are modeled as the superposition of two independent stationary point processes:
a random shifted grid with intensity $\lambda_g$ and a Poisson point process
(PPP)... | 1 | 0 | 1 | 0 | 0 | 0 |
Glycolaldehyde in Perseus young solar analogs | Aims: In this paper we focus on the occurrence of glycolaldehyde (HCOCH2OH)
in young solar analogs by performing the first homogeneous and unbiased study
of this molecule in the Class 0 protostars of the nearby Perseus star forming
region. Methods: We obtained sub-arcsec angular resolution maps at 1.3mm and
1.4mm of ... | 0 | 1 | 0 | 0 | 0 | 0 |
Comprehension-guided referring expressions | We consider generation and comprehension of natural language referring
expression for objects in an image. Unlike generic "image captioning" which
lacks natural standard evaluation criteria, quality of a referring expression
may be measured by the receiver's ability to correctly infer which object is
being described.... | 1 | 0 | 0 | 0 | 0 | 0 |
Modeling the Multiple Sclerosis Brain Disease Using Agents: What Works and What Doesn't? | The human brain is one of the most complex living structures in the known
Universe. It consists of billions of neurons and synapses. Due to its intrinsic
complexity, it can be a formidable task to accurately depict brain's structure
and functionality. In the past, numerous studies have been conducted on
modeling brai... | 1 | 1 | 0 | 0 | 0 | 0 |
Improved NN-JPDAF for Joint Multiple Target Tracking and Feature Extraction | Feature aided tracking can often yield improved tracking performance over the
standard multiple target tracking (MTT) algorithms with only kinematic
measurements. However, in many applications, the feature signal of the targets
consists of sparse Fourier-domain signals. It changes quickly and nonlinearly
in the time ... | 1 | 0 | 0 | 1 | 0 | 0 |
KINETyS: Constraining spatial variations of the stellar initial mass function in early-type galaxies | The heavyweight stellar initial mass function (IMF) observed in the cores of
massive early-type galaxies (ETGs) has been linked to formation of their cores
in an initial swiftly-quenched rapid starburst. However, the outskirts of ETGs
are thought to be assembled via the slow accumulation of smaller systems in
which t... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-Agent Deep Reinforcement Learning with Human Strategies | Deep learning has enabled traditional reinforcement learning methods to deal
with high-dimensional problems. However, one of the disadvantages of deep
reinforcement learning methods is the limited exploration capacity of learning
agents. In this paper, we introduce an approach that integrates human
strategies to incr... | 0 | 0 | 0 | 1 | 0 | 0 |
Deep into the Water Fountains: The case of IRAS 18043-2116 | (Abridged) The formation of large-scale (hundreds to few thousands of AU)
bipolar structures in the circumstellar envelopes (CSEs) of post-Asymptotic
Giant Branch (post-AGB) stars is poorly understood. The shape of these
structures, traced by emission from fast molecular outflows, suggests that the
dynamics at the in... | 0 | 1 | 0 | 0 | 0 | 0 |
QAOA for Max-Cut requires hundreds of qubits for quantum speed-up | Computational quantum technologies are entering a new phase in which noisy
intermediate-scale quantum computers are available, but are still too small to
benefit from active error correction. Even with a finite coherence budget to
invest in quantum information processing, noisy devices with about 50 qubits
are expect... | 1 | 0 | 0 | 0 | 0 | 0 |
Mixed-Effect Modeling for Longitudinal Prediction of Cancer Tumor | In this paper, a mixed-effect modeling scheme is proposed to construct a
predictor for different features of cancer tumor. For this purpose, a set of
features is extracted from two groups of patients with the same type of cancer
but with two medical outcome: 1) survived and 2) passed away. The goal is to
build differ... | 0 | 0 | 0 | 1 | 0 | 0 |
Distributed Exact Shortest Paths in Sublinear Time | The distributed single-source shortest paths problem is one of the most
fundamental and central problems in the message-passing distributed computing.
Classical Bellman-Ford algorithm solves it in $O(n)$ time, where $n$ is the
number of vertices in the input graph $G$. Peleg and Rubinovich (FOCS'99)
showed a lower bo... | 1 | 0 | 0 | 0 | 0 | 0 |
Fingerprints of angulon instabilities in the spectra of matrix-isolated molecules | The formation of vortices is usually considered to be the main mechanism of
angular momentum disposal in superfluids. Recently, it was predicted that a
superfluid can acquire angular momentum via an alternative, microscopic route
-- namely, through interaction with rotating impurities, forming so-called
`angulon quas... | 0 | 1 | 0 | 0 | 0 | 0 |
Considering Multiple Uncertainties in Stochastic Security-Constrained Unit Commitment Using Point Estimation Method | Security-Constrained Unit Commitment (SCUC) is one of the most significant
problems in secure and optimal operation of modern electricity markets. New
sources of uncertainties such as wind speed volatility and price-sensitive
loads impose additional challenges to this large-scale problem. This paper
proposes a new St... | 0 | 1 | 1 | 0 | 0 | 0 |
Gluing Delaunay ends to minimal n-noids using the DPW method | We construct constant mean curvature surfaces in euclidean space by gluing n
half Delaunay surfaces to a non-degenerate minimal n-noid, using the DPW
method.
| 0 | 0 | 1 | 0 | 0 | 0 |
Some Remarks on the Hyperkähler Reduction | We consider a hyperkähler reduction and describe it via frame bundles.
Tracing the connection through the various reductions, we recover the results
of Gocho and Nakajima. In addition, we show that the fibers of such a reduction
are necessarily totally geodesic. As an independent result, we describe
O'Neill's submers... | 0 | 0 | 1 | 0 | 0 | 0 |
Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment | We introduce a novel approach to Maximum A Posteriori inference based on
discrete graphical models. By utilizing local Wasserstein distances for
coupling assignment measures across edges of the underlying graph, a given
discrete objective function is smoothly approximated and restricted to the
assignment manifold. A ... | 1 | 0 | 0 | 0 | 0 | 0 |
Operator algebraic approach to inverse and stability theorems for amenable groups | We prove an inverse theorem for the Gowers $U^2$-norm for maps $G\to\mathcal
M$ from an countable, discrete, amenable group $G$ into a von Neumann algebra
$\mathcal M$ equipped with an ultraweakly lower semi-continuous, unitarily
invariant (semi-)norm $\Vert\cdot\Vert$. We use this result to prove a
stability result ... | 0 | 0 | 1 | 0 | 0 | 0 |
Collective irregular dynamics in balanced networks of leaky integrate-and-fire neurons | We extensively explore networks of weakly unbalanced, leaky
integrate-and-fire (LIF) neurons for different coupling strength, connectivity,
and by varying the degree of refractoriness, as well as the delay in the spike
transmission. We find that the neural network does not only exhibit a
microscopic (single-neuron) s... | 0 | 0 | 0 | 0 | 1 | 0 |
Measurement of human activity using velocity GPS data obtained from mobile phones | Human movement is used as an indicator of human activity in modern society.
The velocity of moving humans is calculated based on position information
obtained from mobile phones. The level of human activity, as recorded by
velocity, varies throughout the day. Therefore, velocity can be used to
identify the intervals ... | 1 | 1 | 0 | 0 | 0 | 0 |
Concurrent Segmentation and Localization for Tracking of Surgical Instruments | Real-time instrument tracking is a crucial requirement for various
computer-assisted interventions. In order to overcome problems such as specular
reflections and motion blur, we propose a novel method that takes advantage of
the interdependency between localization and segmentation of the surgical tool.
In particula... | 1 | 0 | 0 | 0 | 0 | 0 |
Bobtail: A Proof-of-Work Target that Minimizes Blockchain Mining Variance (Draft) | Blockchain systems are designed to produce blocks at a constant average rate.
The most popular systems currently employ a Proof of Work (PoW) algorithm as a
means of creating these blocks. Bitcoin produces, on average, one block every
10 minutes. An unfortunate limitation of all deployed PoW blockchain systems is
tha... | 1 | 0 | 0 | 0 | 0 | 0 |
Mobility Edges in 1D Bichromatic Incommensurate Potentials | We theoretically study a one-dimensional (1D) mutually incommensurate
bichromatic lattice system which has been implemented in ultracold atoms to
study quantum localization. It has been universally believed that the
tight-binding version of this bichromatic incommensurate system is represented
by the well-known Aubry... | 0 | 1 | 0 | 0 | 0 | 0 |
Privacy Preserving Identification Using Sparse Approximation with Ambiguization | In this paper, we consider a privacy preserving encoding framework for
identification applications covering biometrics, physical object security and
the Internet of Things (IoT). The proposed framework is based on a sparsifying
transform, which consists of a trained linear map, an element-wise
nonlinearity, and priva... | 1 | 0 | 0 | 1 | 0 | 0 |
Manifold Learning Using Kernel Density Estimation and Local Principal Components Analysis | We consider the problem of recovering a $d-$dimensional manifold $\mathcal{M}
\subset \mathbb{R}^n$ when provided with noiseless samples from $\mathcal{M}$.
There are many algorithms (e.g., Isomap) that are used in practice to fit
manifolds and thus reduce the dimensionality of a given data set. Ideally, the
estimate... | 0 | 0 | 0 | 1 | 0 | 0 |
Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach | The RGB-D camera maintains a limited range for working and is hard to
accurately measure the depth information in a far distance. Besides, the RGB-D
camera will easily be influenced by strong lighting and other external factors,
which will lead to a poor accuracy on the acquired environmental depth
information. Recen... | 1 | 0 | 0 | 0 | 0 | 0 |
On the Properties of the Power Systems Nodal Admittance Matrix | This letter provides conditions determining the rank of the nodal admittance
matrix, and arbitrary block partitions of it, for connected AC power networks
with complex admittances. Furthermore, some implications of these properties
concerning Kron Reduction and Hybrid Network Parameters are outlined.
| 1 | 0 | 1 | 0 | 0 | 0 |
Isolation and connectivity in random geometric graphs with self-similar intensity measures | Random geometric graphs consist of randomly distributed nodes (points), with
pairs of nodes within a given mutual distance linked. In the usual model the
distribution of nodes is uniform on a square, and in the limit of infinitely
many nodes and shrinking linking range, the number of isolated nodes is Poisson
distrib... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-SpaM: a Maximum-Likelihood approach to Phylogeny reconstruction based on Multiple Spaced-Word Matches | Motivation: Word-based or `alignment-free' methods for phylogeny
reconstruction are much faster than traditional approaches, but they are
generally less accurate. Most of these methods calculate pairwise distances for
a set of input sequences, for example from word frequencies, from so-called
spaced-word matches or f... | 0 | 0 | 0 | 0 | 1 | 0 |
Zermelo deformation of Finsler metrics by Killing vector fields | We show how geodesics, Jacobi vector fields and flag curvature of a Finsler
metric behave under Zermelo deformation with respect to a Killing vector field.
We also show that Zermelo deformation with respect to a Killing vector field of
a locally symmetric Finsler metric is also locally symmetric.
| 0 | 0 | 1 | 0 | 0 | 0 |
Robust estimation of mixing measures in finite mixture models | In finite mixture models, apart from underlying mixing measure, true kernel
density function of each subpopulation in the data is, in many scenarios,
unknown. Perhaps the most popular approach is to choose some kernel functions
that we empirically believe our data are generated from and use these kernels
to fit our m... | 0 | 0 | 1 | 1 | 0 | 0 |
Phase Noise and Jitter in Digital Electronics | This article explains phase noise, jitter, and some slower phenomena in
digital integrated circuits, focusing on high-demanding, noise-critical
applications. We introduce the concept of phase type and time type phase noise.
The rules for scaling the noise with frequency are chiefly determined by the
spectral properti... | 0 | 1 | 0 | 0 | 0 | 0 |
Advanced Soccer Skills and Team Play of RoboCup 2017 TeenSize Winner NimbRo | In order to pursue the vision of the RoboCup Humanoid League of beating the
soccer world champion by 2050, new rules and competitions are added or modified
each year fostering novel technological advances. In 2017, the number of
players in the TeenSize class soccer games was increase to 3 vs. 3, which
allowed for mor... | 1 | 0 | 0 | 0 | 0 | 0 |
Phase partitioning in a novel near equi-atomic AlCuFeMn alloy | A novel low cost, near equi-atomic alloy comprising of Al, Cu, Fe and Mn is
synthesized using arc-melting technique. The cast alloy possesses a dendritic
microstructure where the dendrites consist of disordered FCC and ordered FCC
phases. The inter-dendritic region is comprised of ordered FCC phase and
spinodally dec... | 0 | 1 | 0 | 0 | 0 | 0 |
Overview of Project 8 and Progress Towards Tritium Operation | Project 8 is a tritium endpoint neutrino mass experiment utilizing a phased
program to achieve sensitivity to the range of neutrino masses allowed by the
inverted mass hierarchy. The Cyclotron Radiation Emission Spectroscopy (CRES)
technique is employed to measure the differential energy spectrum of decay
electrons w... | 0 | 1 | 0 | 0 | 0 | 0 |
Proper efficiency and cone efficiency | In this report, two general concepts for proper efficiency in vector
optimization are studied. Properly efficient elements can be defined as
minimizers of functionals with certain monotonicity properties or as weakly
efficient elements with respect to sets that contain the domination set.
Interdependencies between bo... | 0 | 0 | 1 | 0 | 0 | 0 |
Sequential Skip Prediction with Few-shot in Streamed Music Contents | This paper provides an outline of the algorithms submitted for the WSDM Cup
2019 Spotify Sequential Skip Prediction Challenge (team name: mimbres). In the
challenge, complete information including acoustic features and user
interaction logs for the first half of a listening session is provided. Our
goal is to predict... | 1 | 0 | 0 | 0 | 0 | 0 |
Genetic interactions from first principles | We derive a general statistical model of interactions, starting from
probabilistic principles and elementary requirements. Prevailing interaction
models in biomedical researches diverge both mathematically and practically. In
particular, genetic interaction inquiries are formulated without an obvious
mathematical uni... | 0 | 0 | 0 | 1 | 0 | 0 |
On the Log Partition Function of Ising Model on Stochastic Block Model | A sparse stochastic block model (SBM) with two communities is defined by the
community probability $\pi_0,\pi_1$, and the connection probability between
communities $a,b\in\{0,1\}$, namely $q_{ab} = \frac{\alpha_{ab}}{n}$. When
$q_{ab}$ is constant in $a,b$, the random graph is simply the
Erdős-Rény random graph. We ... | 0 | 0 | 0 | 1 | 0 | 0 |
Radial transonic shock solutions of Euler-Poisson system in convergent nozzles | Given constant data of density $\rho_0$, velocity $-u_0{\bf e}_r$, pressure
$p_0$ and electric force $-E_0{\bf e}_r$ for supersonic flow at the entrance,
and constant pressure $p_{\rm ex}$ for subsonic flow at the exit, we prove that
Euler-Poisson system admits a unique transonic shock solution in a two
dimensional c... | 0 | 0 | 1 | 0 | 0 | 0 |
X-rays from Green Pea Analogs | X-ray observations of two metal-deficient luminous compact galaxies (LCG)
(SHOC~486 and SDSS J084220.94+115000.2) with properties similar to the
so-called Green Pea galaxies were obtained using the {\emph{Chandra X-ray
Observatory}}. Green Pea galaxies are relatively small, compact (a few kpc
across) galaxies that ge... | 0 | 1 | 0 | 0 | 0 | 0 |
A deeper view of the CoRoT-9 planetary system. A small non-zero eccentricity for CoRoT-9b likely generated by planet-planet scattering | CoRoT-9b is one of the rare long-period (P=95.3 days) transiting giant
planets with a measured mass known to date. We present a new analysis of the
CoRoT-9 system based on five years of radial-velocity (RV) monitoring with
HARPS and three new space-based transits observed with CoRoT and Spitzer.
Combining our new dat... | 0 | 1 | 0 | 0 | 0 | 0 |
Wave propagation characteristics of Parareal | The paper derives and analyses the (semi-)discrete dispersion relation of the
Parareal parallel-in-time integration method. It investigates Parareal's wave
propagation characteristics with the aim to better understand what causes the
well documented stability problems for hyperbolic equations. The analysis shows
that... | 1 | 0 | 1 | 0 | 0 | 0 |
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets | Deep learning models (aka Deep Neural Networks) have revolutionized many
fields including computer vision, natural language processing, speech
recognition, and is being increasingly used in clinical healthcare
applications. However, few works exist which have benchmarked the performance
of the deep learning models wi... | 1 | 0 | 0 | 1 | 0 | 0 |
Modeling of Persistent Homology | Topological Data Analysis (TDA) is a novel statistical technique,
particularly powerful for the analysis of large and high dimensional data sets.
Much of TDA is based on the tool of persistent homology, represented visually
via persistence diagrams. In an earlier paper we proposed a parametric
representation for the ... | 0 | 0 | 0 | 1 | 0 | 0 |
Auto-Encoding Sequential Monte Carlo | We build on auto-encoding sequential Monte Carlo (AESMC): a method for model
and proposal learning based on maximizing the lower bound to the log marginal
likelihood in a broad family of structured probabilistic models. Our approach
relies on the efficiency of sequential Monte Carlo (SMC) for performing
inference in ... | 0 | 0 | 0 | 1 | 0 | 0 |
Einstein's accelerated reference systems and Fermi-Walker coordinates | We show that the uniformly accelerated reference systems proposed by Einstein
when introducing acceleration in the theory of relativity are Fermi-Walker
coordinate systems. We then consider more general accelerated motions and, on
the one hand we obtain Thomas precession and, on the other, we prove that the
only acce... | 0 | 1 | 0 | 0 | 0 | 0 |
Premise Selection for Theorem Proving by Deep Graph Embedding | We propose a deep learning-based approach to the problem of premise
selection: selecting mathematical statements relevant for proving a given
conjecture. We represent a higher-order logic formula as a graph that is
invariant to variable renaming but still fully preserves syntactic and semantic
information. We then em... | 1 | 0 | 0 | 0 | 0 | 0 |
Goldbach Representations in Arithmetic Progressions and zeros of Dirichlet L-functions | Assuming a conjecture on distinct zeros of Dirichlet L-functions we get
asymptotic results on the average number of representations of an integer as
the sum of two primes in arithmetic progression. On the other hand the
existence of good error terms gives information on the the location of zeros of
L-functions and po... | 0 | 0 | 1 | 0 | 0 | 0 |
Estimable group effects for strongly correlated variables in linear models | It is well known that parameters for strongly correlated predictor variables
in a linear model cannot be accurately estimated. We look for linear
combinations of these parameters that can be. Under a uniform model, we find
such linear combinations in a neighborhood of a simple variability weighted
average of these pa... | 0 | 0 | 1 | 1 | 0 | 0 |
Online Structure Learning for Sum-Product Networks with Gaussian Leaves | Sum-product networks have recently emerged as an attractive representation
due to their dual view as a special type of deep neural network with clear
semantics and a special type of probabilistic graphical model for which
inference is always tractable. Those properties follow from some conditions
(i.e., completeness ... | 1 | 0 | 0 | 1 | 0 | 0 |
Rapid Design of Wide-Area Heterogeneous Electromagnetic Metasurfaces beyond the Unit-Cell Approximation | We propose a novel numerical approach for the optimal design of wide-area
heterogeneous electromagnetic metasurfaces beyond the conventionally used
unit-cell approximation. The proposed method exploits the combination of
Rigorous Coupled Wave Analysis (RCWA) and global optimization techniques (two
evolutionary algori... | 0 | 1 | 0 | 0 | 0 | 0 |
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks | Autonomous driving presents one of the largest problems that the robotics and
artificial intelligence communities are facing at the moment, both in terms of
difficulty and potential societal impact. Self-driving vehicles (SDVs) are
expected to prevent road accidents and save millions of lives while improving
the live... | 1 | 0 | 0 | 0 | 0 | 0 |
Phase-Resolved Two-Dimensional Spectroscopy of Electronic Wavepackets by Laser-Induced XUV Free Induction Decay | We present a novel time- and phase-resolved, background-free scheme to study
the extreme ultraviolet dipole emission of a bound electronic wavepacket,
without the use of any extreme ultraviolet exciting pulse. Using multiphoton
transitions, we populate a superposition of quantum states which coherently
emit extreme u... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimized Spatial Partitioning via Minimal Swarm Intelligence | Optimized spatial partitioning algorithms are the corner stone of many
successful experimental designs and statistical methods. Of these algorithms,
the Centroidal Voronoi Tessellation (CVT) is the most widely utilized. CVT
based methods require global knowledge of spatial boundaries, do not readily
allow for weighte... | 1 | 0 | 0 | 1 | 0 | 0 |
Learning Correspondence Structures for Person Re-identification | This paper addresses the problem of handling spatial misalignments due to
camera-view changes or human-pose variations in person re-identification. We
first introduce a boosting-based approach to learn a correspondence structure
which indicates the patch-wise matching probabilities between images from a
target camera... | 1 | 0 | 0 | 0 | 0 | 0 |
Inner Product and Set Disjointness: Beyond Logarithmically Many Parties | A basic goal in complexity theory is to understand the communication
complexity of number-on-the-forehead problems
$f\colon(\{0,1\}^n)^{k}\to\{0,1\}$ with $k\gg\log n$ parties. We study the
problems of inner product and set disjointness and determine their randomized
communication complexity for every $k\geq\log n$, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Topological classification of time-asymmetry in unitary quantum processes | Effective gauge fields have allowed the emulation of matter under strong
magnetic fields leading to the realization of Harper-Hofstadter, Haldane
models, and led to demonstrations of one-way waveguides and topologically
protected edge states. Central to these discoveries is the chirality induced by
time-symmetry brea... | 0 | 1 | 0 | 0 | 0 | 0 |
A Light Modality for Recursion | We investigate the interplay between a modality for controlling the behaviour
of recursive functional programs on infinite structures which are completely
silent in the syntax. The latter means that programs do not contain "marks"
showing the application of the introduction and elimination rules for the
modality. Thi... | 1 | 0 | 0 | 0 | 0 | 0 |
Counting the number of metastable states in the modularity landscape: Algorithmic detectability limit of greedy algorithms in community detection | Modularity maximization using greedy algorithms continues to be a popular
approach toward community detection in graphs, even after various better
forming algorithms have been proposed. Apart from its clear mechanism and ease
of implementation, this approach is persistently popular because, presumably,
its risk of al... | 1 | 0 | 0 | 0 | 0 | 0 |
Infinite rank surface cluster algebras | We generalise surface cluster algebras to the case of infinite surfaces where
the surface contains finitely many accumulation points of boundary marked
points. To connect different triangulations of an infinite surface, we consider
infinite mutation sequences.
We show transitivity of infinite mutation sequences on tr... | 0 | 0 | 1 | 0 | 0 | 0 |
Machine learning prediction errors better than DFT accuracy | We investigate the impact of choosing regressors and molecular
representations for the construction of fast machine learning (ML) models of
thirteen electronic ground-state properties of organic molecules. The
performance of each regressor/representation/property combination is assessed
using learning curves which re... | 0 | 1 | 0 | 0 | 0 | 0 |
Invariant tori for the Nosé Thermostat near the High-Temperature Limit | Let H(q,p) = p^2/2 + V(q) be a 1-degree of freedom mechanical Hamiltonian
with a C^n periodic potential V where n>4. The Nosé-thermostated system
associated to H is shown to have invariant tori near the infinite temperature
limit. This is shown to be true for all thermostats similar to Nosé's. These
results complemen... | 0 | 0 | 1 | 0 | 0 | 0 |
Dyadic Green's function formalism for photo-induced forces in tip-sample nanojunctions | A comprehensive theoretical analysis of photo-induced forces in an
illuminated nanojunction, formed between an atomic force microscopy tip and a
sample, is presented. The formalism is valid within the dipolar approximation
and includes multiple scattering effects between the tip, sample and a planar
substrate through... | 0 | 1 | 0 | 0 | 0 | 0 |
Semi-supervised Embedding in Attributed Networks with Outliers | In this paper, we propose a novel framework, called Semi-supervised Embedding
in Attributed Networks with Outliers (SEANO), to learn a low-dimensional vector
representation that systematically captures the topological proximity,
attribute affinity and label similarity of vertices in a partially labeled
attributed net... | 1 | 0 | 0 | 0 | 0 | 0 |
Kernel partial least squares for stationary data | We consider the kernel partial least squares algorithm for non-parametric
regression with stationary dependent data. Probabilistic convergence rates of
the kernel partial least squares estimator to the true regression function are
established under a source and an effective dimensionality condition. It is
shown both ... | 0 | 0 | 1 | 1 | 0 | 0 |
Doubled Khovanov Homology | We define a homology theory of virtual links built out of the direct sum of
the standard Khovanov complex with itself, motivating the name doubled Khovanov
homology. We demonstrate that it can be used to show that some virtual links
are non-classical, and that it yields a condition on a virtual knot being the
connect... | 0 | 0 | 1 | 0 | 0 | 0 |
On the multi-dimensional elephant random walk | The purpose of this paper is to investigate the asymptotic behavior of the
multi-dimensional elephant random walk (MERW). It is a non-Markovian random
walk which has a complete memory of its entire history. A wide range of
literature is available on the one-dimensional ERW. Surprisingly, no references
are available o... | 0 | 0 | 1 | 1 | 0 | 0 |
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