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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Massively parallel lattice-Boltzmann codes on large GPU clusters | This paper describes a massively parallel code for a state-of-the art thermal
lattice- Boltzmann method. Our code has been carefully optimized for
performance on one GPU and to have a good scaling behavior extending to a large
number of GPUs. Versions of this code have been already used for large-scale
studies of con... | 1 | 0 | 0 | 0 | 0 | 0 |
A Large Dimensional Study of Regularized Discriminant Analysis Classifiers | This article carries out a large dimensional analysis of standard regularized
discriminant analysis classifiers designed on the assumption that data arise
from a Gaussian mixture model with different means and covariances. The
analysis relies on fundamental results from random matrix theory (RMT) when
both the number... | 0 | 0 | 0 | 1 | 0 | 0 |
Non-Spherical Szekeres models in the language of Cosmological Perturbations | We study the differences and equivalences between the non-perturbative
description of the evolution of cosmic structure furnished by the Szekeres dust
models (a non-spherical exact solution of Einstein's equations) and the
dynamics of Cosmological Perturbation Theory (CPT) for dust sources in a
$\Lambda$CDM backgroun... | 0 | 1 | 0 | 0 | 0 | 0 |
Smart materials and structures for energy harvesters | Vibrational energy harvesters capture mechanical energy from ambient
vibrations and convert the mechanical energy into electrical energy to power
wireless electronic systems. Challenges exist in the process of capturing
mechanical energy from ambient vibrations. For example, resonant harvesters may
be used to improve... | 0 | 1 | 0 | 0 | 0 | 0 |
DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout | The paper presents a novel, principled approach to train recurrent neural
networks from the Reservoir Computing family that are robust to missing part of
the input features at prediction time. By building on the ensembling properties
of Dropout regularization, we propose a methodology, named DropIn, which
efficiently... | 1 | 0 | 0 | 1 | 0 | 0 |
A Single-Channel Architecture for Algebraic Integer Based 8$\times$8 2-D DCT Computation | An area efficient row-parallel architecture is proposed for the real-time
implementation of bivariate algebraic integer (AI) encoded 2-D discrete cosine
transform (DCT) for image and video processing. The proposed architecture
computes 8$\times$8 2-D DCT transform based on the Arai DCT algorithm. An
improved fast alg... | 1 | 0 | 0 | 0 | 0 | 0 |
More lessons from the six box toy experiment | Following a paper in which the fundamental aspects of probabilistic inference
were introduced by means of a toy experiment, details of the analysis of
simulated long sequences of extractions are shown here. In fact, the striking
performance of probability-based inference and forecasting, compared to those
obtained by... | 0 | 1 | 1 | 0 | 0 | 0 |
A Biomechanical Study on the Use of Curved Drilling Technique for Treatment of Osteonecrosis of Femoral Head | Osteonecrosis occurs due to the loss of blood supply to the bone, leading to
spontaneous death of the trabecular bone. Delayed treatment of the involved
patients results in collapse of the femoral head, which leads to a need for
total hip arthroplasty surgery. Core decompression, as the most popular
technique for tre... | 0 | 0 | 0 | 0 | 1 | 0 |
Output feedback exponential stabilization for 1-D unstable wave equations with boundary control matched disturbance | We study the output feedback exponential stabilization of a one-dimensional
unstable wave equation, where the boundary input, given by the Neumann trace at
one end of the domain, is the sum of the control input and the total
disturbance. The latter is composed of a nonlinear uncertain feedback term and
an external bo... | 0 | 0 | 1 | 0 | 0 | 0 |
Bio-inspired Tensegrity Soft Modular Robots | In this paper, we introduce a design principle to develop novel soft modular
robots based on tensegrity structures and inspired by the cytoskeleton of
living cells. We describe a novel strategy to realize tensegrity structures
using planar manufacturing techniques, such as 3D printing. We use this
strategy to develop... | 1 | 0 | 0 | 0 | 0 | 0 |
How proper are Bayesian models in the astronomical literature? | The well-known Bayes theorem assumes that a posterior distribution is a
probability distribution. However, the posterior distribution may no longer be
a probability distribution if an improper prior distribution (non-probability
measure) such as an unbounded uniform prior is used. Improper priors are often
used in th... | 0 | 1 | 0 | 0 | 0 | 0 |
Diffusive Tidal Evolution for Migrating hot Jupiters | I consider a Jovian planet on a highly eccentric orbit around its host star,
a situation produced by secular interactions with its planetary or stellar
companions. The tidal interactions at every periastron passage exchange energy
between the orbit and the planet's degree-2 fundamental-mode. Starting from
zero energy... | 0 | 1 | 0 | 0 | 0 | 0 |
Von Neumann dimension, Hodge index theorem and geometric applications | This note contains a reformulation of the Hodge index theorem within the
framework of Atiyah's $L^2$-index theory. More precisely, given a compact
Kähler manifold $(M,h)$ of even complex dimension $2m$, we prove that
$$\sigma(M)=\sum_{p,q=0}^{2m}(-1)^ph_{(2),\Gamma}^{p,q}(M)$$ where $\sigma(M)$
is the signature of $M... | 0 | 0 | 1 | 0 | 0 | 0 |
Relativistic asymmetries in the galaxy cross-correlation function | We study the asymmetry in the two-point cross-correlation function of two
populations of galaxies focusing in particular on the relativistic effects that
include the gravitational redshift. We derive the cross-correlation function on
small and large scales using two different approaches: General Relativistic and
Newt... | 0 | 1 | 0 | 0 | 0 | 0 |
Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units | In this paper, we present an end-to-end automatic speech recognition system,
which successfully employs subword units in a hybrid CTC-Attention based
system. The subword units are obtained by the byte-pair encoding (BPE)
compression algorithm. Compared to using words as modeling units, using
characters or subword uni... | 1 | 0 | 0 | 0 | 0 | 0 |
Harmonic analysis and distribution-free inference for spherical distributions | Fourier analysis and representation of circular distributions in terms of
their Fourier coefficients, is quite commonly discussed and used for model-free
inference such as testing uniformity and symmetry etc. in dealing with
2-dimensional directions. However a similar discussion for spherical
distributions, which are... | 0 | 0 | 0 | 1 | 0 | 0 |
Free-form modelling of galaxy clusters: a Bayesian and data-driven approach | A new method is presented for modelling the physical properties of galaxy
clusters. Our technique moves away from the traditional approach of assuming
specific parameterised functional forms for the variation of physical
quantities within the cluster, and instead allows for a 'free-form'
reconstruction, but one for w... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-focus Attention Network for Efficient Deep Reinforcement Learning | Deep reinforcement learning (DRL) has shown incredible performance in
learning various tasks to the human level. However, unlike human perception,
current DRL models connect the entire low-level sensory input to the
state-action values rather than exploiting the relationship between and among
entities that constitute... | 1 | 0 | 0 | 1 | 0 | 0 |
Weak lensing power spectrum reconstruction by counting galaxies.-- I: the ABS method | We propose an Analytical method of Blind Separation (ABS) of cosmic
magnification from the intrinsic fluctuations of galaxy number density in the
observed galaxy number density distribution. The ABS method utilizes the
different dependences of the signal (cosmic magnification) and contamination
(galaxy intrinsic clus... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimal Output Consensus of High-Order Multi-Agent Systems with Embedded Technique | In this paper, we study an optimal output consensus problem for a multi-agent
network with agents in the form of multi-input multi-output minimum-phase
dynamics. Optimal output consensus can be taken as an extended version of the
existing output consensus problem for higher-order agents with an optimization
requireme... | 1 | 0 | 1 | 0 | 0 | 0 |
Equilibrium selection via Optimal transport | We propose a new dynamics for equilibrium selection of finite player discrete
strategy games. The dynamics is motivated by optimal transportation, and models
individual players' myopicity, greedy and uncertainty when making decisions.
The stationary measure of the dynamics provides each pure Nash equilibrium a
probab... | 0 | 0 | 1 | 0 | 0 | 0 |
Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks | This paper presents a new method for medical diagnosis of neurodegenerative
diseases, such as Parkinson's, by extracting and using latent information from
trained Deep convolutional, or convolutional-recurrent Neural Networks (DNNs).
In particular, our approach adopts a combination of transfer learning, k-means
clust... | 1 | 0 | 0 | 1 | 0 | 0 |
Representation Theorems for Solvable Sesquilinear Forms | New results are added to the paper [4] about q-closed and solvable
sesquilinear forms. The structure of the Banach space
$\mathcal{D}[||\cdot||_\Omega]$ defined on the domain $\mathcal{D}$ of a
q-closed sesquilinear form $\Omega$ is unique up to isomorphism, and the
adjoint of a sesquilinear form has the same propert... | 0 | 0 | 1 | 0 | 0 | 0 |
Using Continuous Power Modulation for Exchanging Local Channel State Information | This letter provides a simple but efficient technique, which allows each
transmitter of an interference network, to exchange local channel state
information with the other transmitters. One salient feature of the proposed
technique is that a transmitter only needs measurements of the signal power at
its intended rece... | 1 | 0 | 0 | 0 | 0 | 0 |
Spectral Efficient and Energy Aware Clustering in Cellular Networks | The current and envisaged increase of cellular traffic poses new challenges
to Mobile Network Operators (MNO), who must densify their Radio Access Networks
(RAN) while maintaining low Capital Expenditure and Operational Expenditure to
ensure long-term sustainability. In this context, this paper analyses optimal
clust... | 1 | 0 | 0 | 0 | 0 | 0 |
Lattice Rescoring Strategies for Long Short Term Memory Language Models in Speech Recognition | Recurrent neural network (RNN) language models (LMs) and Long Short Term
Memory (LSTM) LMs, a variant of RNN LMs, have been shown to outperform
traditional N-gram LMs on speech recognition tasks. However, these models are
computationally more expensive than N-gram LMs for decoding, and thus,
challenging to integrate ... | 1 | 0 | 0 | 1 | 0 | 0 |
Vanishing of Littlewood-Richardson polynomials is in P | J. DeLoera-T. McAllister and K. D. Mulmuley-H. Narayanan-M. Sohoni
independently proved that determining the vanishing of Littlewood-Richardson
coefficients has strongly polynomial time computational complexity. Viewing
these as Schubert calculus numbers, we prove the generalization to the
Littlewood-Richardson polyn... | 1 | 0 | 1 | 0 | 0 | 0 |
Multi-task memory networks for category-specific aspect and opinion terms co-extraction | In aspect-based sentiment analysis, most existing methods either focus on
aspect/opinion terms extraction or aspect terms categorization. However, each
task by itself only provides partial information to end users. To generate more
detailed and structured opinion analysis, we propose a finer-grained problem,
which we... | 1 | 0 | 0 | 0 | 0 | 0 |
Discussion on Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data by Bradley et al | I begin my discussion by summarizing the methodology proposed and new
distributional results on multivariate log-Gamma derived in the paper. Then, I
draw an interesting connection between their work with mean field variational
Bayes. Lastly, I make some comments on the simulation results and the
performance of the pr... | 0 | 0 | 1 | 1 | 0 | 0 |
Elucidation of the helical spin structure of FeAs | We present the results of resonant x-ray scattering measurements and
electronic structure calculations on the monoarsenide FeAs. We elucidate
details of the magnetic structure, showing the ratio of ellipticity of the spin
helix is larger than previously thought, at 2.58(3), and reveal both a
right-handed chirality an... | 0 | 1 | 0 | 0 | 0 | 0 |
A Brain-Inspired Trust Management Model to Assure Security in a Cloud based IoT Framework for Neuroscience Applications | Rapid popularity of Internet of Things (IoT) and cloud computing permits
neuroscientists to collect multilevel and multichannel brain data to better
understand brain functions, diagnose diseases, and devise treatments. To ensure
secure and reliable data communication between end-to-end (E2E) devices
supported by curr... | 0 | 0 | 0 | 0 | 1 | 0 |
The topography of the environment alters the optimal search strategy for active particles | In environments with scarce resources, adopting the right search strategy can
make the difference between succeeding and failing, even between life and
death. At different scales, this applies to molecular encounters in the cell
cytoplasm, to animals looking for food or mates in natural landscapes, to
rescuers during... | 0 | 1 | 0 | 0 | 0 | 0 |
A Neural Network Approach for Mixing Language Models | The performance of Neural Network (NN)-based language models is steadily
improving due to the emergence of new architectures, which are able to learn
different natural language characteristics. This paper presents a novel
framework, which shows that a significant improvement can be achieved by
combining different exi... | 1 | 0 | 0 | 0 | 0 | 0 |
Iron Intercalated Covalent-Organic Frameworks: First Crystalline Porous Thermoelectric Materials | Covalent-organic frameworks (COFs) are intriguing platforms for designing
functional molecular materials. Here, we present a computational study based on
van der Waals dispersion-corrected hybrid density functional theory
calculations to analyze the material properties of boroxine-linked and
triazine-linked intercala... | 0 | 1 | 0 | 0 | 0 | 0 |
DCFNet: Deep Neural Network with Decomposed Convolutional Filters | Filters in a Convolutional Neural Network (CNN) contain model parameters
learned from enormous amounts of data. In this paper, we suggest to decompose
convolutional filters in CNN as a truncated expansion with pre-fixed bases,
namely the Decomposed Convolutional Filters network (DCFNet), where the
expansion coefficie... | 0 | 0 | 0 | 1 | 0 | 0 |
Symmetries, Invariants and Generating Functions: Higher-order Statistics of Biased Tracers | Gravitationally collapsed objects are known to be biased tracers of an
underlying density contrast. Using symmetry arguments, generalised biasing
schemes have recently been developed to relate the halo density contrast
$\delta_h$ with the underlying density contrast $\delta$, divergence of
velocity $\theta$ and their... | 0 | 1 | 0 | 0 | 0 | 0 |
Reversible Sequences of Cardinals, Reversible Equivalence Relations, and Similar Structures | A relational structure ${\mathbb X}$ is said to be reversible iff every
bijective endomorphism $f:X\rightarrow X$ is an automorphism. We define a
sequence of non-zero cardinals $\langle \kappa_i :i\in I\rangle$ to be
reversible iff each surjection $f :I\rightarrow I$ such that $\kappa_j
=\sum_{i\in f^{-1}[\{ j \}]}\k... | 0 | 0 | 1 | 0 | 0 | 0 |
A Longitudinal Study of Google Play | The difficulty of large scale monitoring of app markets affects our
understanding of their dynamics. This is particularly true for dimensions such
as app update frequency, control and pricing, the impact of developer actions
on app popularity, as well as coveted membership in top app lists. In this
paper we perform a... | 1 | 0 | 0 | 0 | 0 | 0 |
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning | The recently developed variational autoencoders (VAEs) have proved to be an
effective confluence of the rich representational power of neural networks with
Bayesian methods. However, most work on VAEs use a rather simple prior over the
latent variables such as standard normal distribution, thereby restricting its
app... | 1 | 0 | 0 | 1 | 0 | 0 |
Corpus-compressed Streaming and the Spotify Problem | In this work, we describe a problem which we refer to as the \textbf{Spotify
problem} and explore a potential solution in the form of what we call
corpus-compressed streaming schemes.
Inspired by the problem of constrained bandwidth during use of the popular
Spotify application on mobile networks, the Spotify problem... | 1 | 0 | 0 | 0 | 0 | 0 |
An intrinsic parallel transport in Wasserstein space | If M is a smooth compact connected Riemannian manifold, let P(M) denote the
Wasserstein space of probability measures on M. We describe a geometric
construction of parallel transport of some tangent cones along geodesics in
P(M). We show that when everything is smooth, the geometric parallel transport
agrees with ear... | 0 | 0 | 1 | 0 | 0 | 0 |
Factor Analysis for Spectral Estimation | Power spectrum estimation is an important tool in many applications, such as
the whitening of noise. The popular multitaper method enjoys significant
success, but fails for short signals with few samples. We propose a statistical
model where a signal is given by a random linear combination of fixed, yet
unknown, stoc... | 0 | 0 | 1 | 1 | 0 | 0 |
Effects of Images with Different Levels of Familiarity on EEG | Evaluating human brain potentials during watching different images can be
used for memory evaluation, information retrieving, guilty-innocent
identification and examining the brain response. In this study, the effects of
watching images, with different levels of familiarity, on subjects'
Electroencephalogram (EEG) ha... | 0 | 0 | 0 | 1 | 0 | 0 |
Image synthesis with graph cuts: a fast model proposal mechanism in probabilistic inversion | Geophysical inversion should ideally produce geologically realistic
subsurface models that explain the available data. Multiple-point statistics is
a geostatistical approach to construct subsurface models that are consistent
with site-specific data, but also display the same type of patterns as those
found in a train... | 0 | 1 | 0 | 0 | 0 | 0 |
Graded super duality for general linear Lie superalgebras | We provide a new proof of the super duality equivalence between infinite-rank
parabolic BGG categories of general linear Lie (super) algebras conjectured by
Cheng and Wang and first proved by Cheng and Lam. We do this by establishing a
new uniqueness theorem for tensor product categorifications motivated by work
of B... | 0 | 0 | 1 | 0 | 0 | 0 |
On a Formal Model of Safe and Scalable Self-driving Cars | In recent years, car makers and tech companies have been racing towards self
driving cars. It seems that the main parameter in this race is who will have
the first car on the road. The goal of this paper is to add to the equation two
additional crucial parameters. The first is standardization of safety assurance
--- ... | 1 | 0 | 0 | 1 | 0 | 0 |
A Low-power Reversible Alkali Atom Source | An electrically-controllable, solid-state, reversible device for sourcing and
sinking alkali vapor is presented. When placed inside an alkali vapor cell,
both an increase and decrease of the rubidium vapor density by a factor of two
are demonstrated through laser absorption spectroscopy on 10 to 15 s time
scales. The... | 0 | 1 | 0 | 0 | 0 | 0 |
GoT-WAVE: Temporal network alignment using graphlet-orbit transitions | Global pairwise network alignment (GPNA) aims to find a one-to-one node
mapping between two networks that identifies conserved network regions. GPNA
algorithms optimize node conservation (NC) and edge conservation (EC). NC
quantifies topological similarity between nodes. Graphlet-based degree vectors
(GDVs) are a sta... | 1 | 0 | 0 | 1 | 0 | 0 |
Randomness-induced quantum spin liquid on honeycomb lattice | We present a quantu spin liquid state in a spin-1/2 honeycomb lattice with
randomness in the exchange interaction. That is, we successfully introduce
randomness into the organic radial-based complex and realize a random-singlet
(RS) state. All magnetic and thermodynamic experimental results indicate the
liquid-like b... | 0 | 1 | 0 | 0 | 0 | 0 |
Symmetric structure for the endomorphism algebra of projective-injective module in parabolic category | We show that for any singular dominant integral weight $\lambda$ of a complex
semisimple Lie algebra $\mathfrak{g}$, the endomorphism algebra $B$ of any
projective-injective module of the parabolic BGG category
$\mathcal{O}_\lambda^{\mathfrak{p}}$ is a symmetric algebra (as conjectured by
Khovanov) extending the resu... | 0 | 0 | 1 | 0 | 0 | 0 |
Cantor series and rational numbers | The article is devoted to the investigation of representation of rational
numbers by Cantor series. Necessary and sufficient conditions for a rational
number to be representable by a positive Cantor series are formulated for the
case of an arbitrary sequence $(q_k)$ and some its corollaries are considered.
Results of... | 0 | 0 | 1 | 0 | 0 | 0 |
PAFit: an R Package for the Non-Parametric Estimation of Preferential Attachment and Node Fitness in Temporal Complex Networks | Many real-world systems are profitably described as complex networks that
grow over time. Preferential attachment and node fitness are two simple growth
mechanisms that not only explain certain structural properties commonly
observed in real-world systems, but are also tied to a number of applications
in modeling and... | 1 | 1 | 0 | 1 | 0 | 0 |
Kähler metrics via Lorentzian Geometry in dimension four | Given a semi-Riemannian $4$-manifold $(M,g)$ with two distinguished vector
fields satisfying properties determined by their shear, twist and various Lie
bracket relations, a family of Kähler metrics $g_K$ is constructed, defined
on an open set in $M$, which coincides with $M$ in many typical examples. Under
certain c... | 0 | 0 | 1 | 0 | 0 | 0 |
z-Classes and Rational Conjugacy Classes in Alternating Groups | In this paper, we compute the number of z-classes (conjugacy classes of
centralizers of elements) in the symmetric group S_n, when n is greater or
equal to 3 and alternating group A_n, when n is greater or equal to 4. It turns
out that the difference between the number of conjugacy classes and the number
of z-classes... | 0 | 0 | 1 | 0 | 0 | 0 |
Sleep Stage Classification Based on Multi-level Feature Learning and Recurrent Neural Networks via Wearable Device | This paper proposes a practical approach for automatic sleep stage
classification based on a multi-level feature learning framework and Recurrent
Neural Network (RNN) classifier using heart rate and wrist actigraphy derived
from a wearable device. The feature learning framework is designed to extract
low- and mid-lev... | 1 | 0 | 0 | 1 | 0 | 0 |
Martin David Kruskal: a biographical memoir | Martin David Kruskal was one of the most versatile theoretical physicists of
his generation and is distinguished for his enduring work in several different
areas, most notably plasma physics, a memorable detour into relativity, and his
pioneering work in nonlinear waves. In the latter, together with Norman
Zabusky, h... | 0 | 1 | 0 | 0 | 0 | 0 |
Unified theory for finite Markov chains | We provide a unified framework to compute the stationary distribution of any
finite irreducible Markov chain or equivalently of any irreducible random walk
on a finite semigroup $S$. Our methods use geometric finite semigroup theory
via the Karnofsky-Rhodes and the McCammond expansions of finite semigroups with
speci... | 0 | 0 | 1 | 0 | 0 | 0 |
A Simulator for Hedonic Games | Hedonic games are meant to model how coalitions of people form and break
apart in the real world. However, it is difficult to run simulations when
everything must be done by hand on paper. We present an online software that
allows fast and visual simulation of several types of hedonic games.
this http URL
| 1 | 0 | 0 | 0 | 0 | 0 |
Estimating Large Precision Matrices via Modified Cholesky Decomposition | We introduce the $k$-banded Cholesky prior for estimating a high-dimensional
bandable precision matrix via the modified Cholesky decomposition. The bandable
assumption is imposed on the Cholesky factor of the decomposition. We obtained
the P-loss convergence rate under the spectral norm and the matrix
$\ell_{\infty}$... | 0 | 0 | 1 | 1 | 0 | 0 |
High order conformal symplectic and ergodic schemes for stochastic Langevin equation via generating functions | In this paper, we consider the stochastic Langevin equation with additive
noises, which possesses both conformal symplectic geometric structure and
ergodicity. We propose a methodology of constructing high weak order conformal
symplectic schemes by converting the equation into an equivalent autonomous
stochastic Hami... | 0 | 0 | 1 | 0 | 0 | 0 |
Crowd ideation of supervised learning problems | Crowdsourcing is an important avenue for collecting machine learning data,
but crowdsourcing can go beyond simple data collection by employing the
creativity and wisdom of crowd workers. Yet crowd participants are unlikely to
be experts in statistics or predictive modeling, and it is not clear how well
non-experts ca... | 0 | 0 | 0 | 1 | 0 | 0 |
Joins in the strong Weihrauch degrees | The Weihrauch degrees and strong Weihrauch degrees are partially ordered
structures representing degrees of unsolvability of various mathematical
problems. Their study has been widely applied in computable analysis,
complexity theory, and more recently, also in computable combinatorics. We
answer an open question abo... | 1 | 0 | 1 | 0 | 0 | 0 |
Advanced LSTM: A Study about Better Time Dependency Modeling in Emotion Recognition | Long short-term memory (LSTM) is normally used in recurrent neural network
(RNN) as basic recurrent unit. However,conventional LSTM assumes that the state
at current time step depends on previous time step. This assumption constraints
the time dependency modeling capability. In this study, we propose a new
variation ... | 1 | 0 | 0 | 1 | 0 | 0 |
A combinatorial model for the free loop fibration | We introduce the abstract notion of a closed necklical set in order to
describe a functorial combinatorial model of the free loop fibration $\Omega
Y\rightarrow \Lambda Y\rightarrow Y$ over the geometric realization $Y=|X|$ of
a path connected simplicial set $X.$ In particular, to any path connected
simplicial set $X... | 0 | 0 | 1 | 0 | 0 | 0 |
On the number of circular orders on a group | We give a classification and complete algebraic description of groups
allowing only finitely many (left multiplication invariant) circular orders. In
particular, they are all solvable groups with a specific semi-direct product
decomposition. This allows us to also show that the space of circular orders of
any group i... | 0 | 0 | 1 | 0 | 0 | 0 |
Preparation and Measurement in Quantum Memory Models | Quantum Cognition has delivered a number of models for semantic memory, but
to date these have tended to assume pure states and projective measurement.
Here we relax these assumptions. A quantum inspired model of human word
association experiments will be extended using a density matrix representation
of human memory... | 0 | 0 | 0 | 0 | 1 | 0 |
Detailed proof of Nazarov's inequality | The purpose of this note is to provide a detailed proof of Nazarov's
inequality stated in Lemma A.1 in Chernozhukov, Chetverikov, and Kato (2017,
Annals of Probability).
| 0 | 0 | 1 | 1 | 0 | 0 |
TRPL+K: Thick-Restart Preconditioned Lanczos+K Method for Large Symmetric Eigenvalue Problems | The Lanczos method is one of the standard approaches for computing a few
eigenpairs of a large, sparse, symmetric matrix. It is typically used with
restarting to avoid unbounded growth of memory and computational requirements.
Thick-restart Lanczos is a popular restarted variant because of its simplicity
and numerica... | 1 | 0 | 0 | 0 | 0 | 0 |
Behavior of l-bits near the many-body localization transition | Eigenstates of fully many-body localized (FMBL) systems are described by
quasilocal operators $\tau_i^z$ (l-bits), which are conserved exactly under
Hamiltonian time evolution. The algebra of the operators $\tau_i^z$ and
$\tau_i^x$ associated with l-bits ($\boldsymbol{\tau}_i$) completely defines
the eigenstates and ... | 0 | 1 | 0 | 0 | 0 | 0 |
ROPE: high-dimensional network modeling with robust control of edge FDR | Network modeling has become increasingly popular for analyzing genomic data,
to aid in the interpretation and discovery of possible mechanistic components
and therapeutic targets. However, genomic-scale networks are high-dimensional
models and are usually estimated from a relatively small number of samples.
Therefore... | 0 | 0 | 0 | 1 | 0 | 0 |
Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior | Automated vehicles can change the society by improved safety, mobility and
fuel efficiency. However, due to the higher cost and change in business model,
over the coming decades, the highly automated vehicles likely will continue to
interact with many human-driven vehicles. In the past, the control/design of
the high... | 1 | 0 | 0 | 0 | 0 | 0 |
e-Fair: Aggregation in e-Commerce for Exploiting Economies of Scale | In recent years, many new and interesting models of successful online
business have been developed, including competitive models such as auctions,
where the product price tends to rise, and group-buying, where users cooperate
obtaining a dynamic price that tends to go down. We propose the e-fair as a
business model f... | 1 | 0 | 0 | 0 | 0 | 0 |
Stable spike clusters for the precursor Gierer-Meinhardt system in R2 | We consider the Gierer-Meinhardt system with small inhibitor diffusivity,
very small activator diffusivity and a precursor inhomogeneity.
For any given positive integer k we construct a spike cluster consisting of
$k$ spikes which all approach the same nondegenerate local minimum point of the
precursor inhomogeneity.... | 0 | 0 | 1 | 0 | 0 | 0 |
Solvability of curves on surfaces | In this article, we study subloci of solvable curves in $\mathcal{M}_g$ which
are contained in either a K3-surface or a quadric or a cubic surface. We give a
bound on the dimension of such subloci. In the case of complete intersection
genus $g$ curves in a cubic surface, we show that a general such curve is
solvable.... | 0 | 0 | 1 | 0 | 0 | 0 |
Scaling Limits for Super--replication with Transient Price Impact | We prove limit theorems for the super-replication cost of European options in
a Binomial model with transient price impact. We show that if the time step
goes to zero and the effective resilience between consecutive trading times
remains constant then the limit of the super--replication prices coincide with
the scali... | 0 | 0 | 0 | 0 | 0 | 1 |
Kernel-based Inference of Functions over Graphs | The study of networks has witnessed an explosive growth over the past decades
with several ground-breaking methods introduced. A particularly interesting --
and prevalent in several fields of study -- problem is that of inferring a
function defined over the nodes of a network. This work presents a versatile
kernel-ba... | 1 | 0 | 0 | 1 | 0 | 0 |
Noncommutative products of Euclidean spaces | We present natural families of coordinate algebras of noncommutative products
of Euclidean spaces. These coordinate algebras are quadratic ones associated
with an R-matrix which is involutive and satisfies the Yang-Baxter equations.
As a consequence they enjoy a list of nice properties, being regular of finite
global... | 0 | 0 | 1 | 0 | 0 | 0 |
X-ray and Optical Study of the Gamma-ray Source 3FGL J0838.8$-$2829: Identification of a Candidate Millisecond Pulsar Binary and an Asynchronous Polar | We observed the field of the Fermi source 3FGL J0838.8-2829 in optical and
X-rays, initially motivated by the cataclysmic variable (CV) 1RXS
J083842.1-282723 that lies within its error circle. Several X-ray sources first
classified as CVs have turned out to be gamma-ray emitting millisecond pulsars
(MSPs). We find th... | 0 | 1 | 0 | 0 | 0 | 0 |
Adversarial Variational Inference and Learning in Markov Random Fields | Markov random fields (MRFs) find applications in a variety of machine
learning areas, while the inference and learning of such models are challenging
in general. In this paper, we propose the Adversarial Variational Inference and
Learning (AVIL) algorithm to solve the problems with a minimal assumption about
the mode... | 1 | 0 | 0 | 1 | 0 | 0 |
Geometric k-nearest neighbor estimation of entropy and mutual information | Nonparametric estimation of mutual information is used in a wide range of
scientific problems to quantify dependence between variables. The k-nearest
neighbor (knn) methods are consistent, and therefore expected to work well for
large sample size. These methods use geometrically regular local volume
elements. This pr... | 0 | 0 | 1 | 1 | 0 | 0 |
Resonant Electron Impact Excitation of 3d levels in Fe$^{14+}$ and Fe$^{15+}$ | We present laboratory spectra of the $3p$--$3d$ transitions in Fe$^{14+}$ and
Fe$^{15+}$ excited with a mono-energetic electron beam. In the energy dependent
spectra obtained by sweeping the electron energy, resonant excitation is
confirmed as an intensity enhancement at specific electron energies. The
experimental r... | 0 | 1 | 0 | 0 | 0 | 0 |
Automated Top View Registration of Broadcast Football Videos | In this paper, we propose a novel method to register football broadcast video
frames on the static top view model of the playing surface. The proposed method
is fully automatic in contrast to the current state of the art which requires
manual initialization of point correspondences between the image and the static
mo... | 1 | 0 | 0 | 0 | 0 | 0 |
Reservoir Computing for Detection of Steady State in Performance Tests of Compressors | Fabrication of devices in industrial plants often includes undergoing quality
assurance tests or tests that seek to determine some attributes or capacities
of the device. For instance, in testing refrigeration compressors, we want to
find the true refrigeration capacity of the compressor being tested. Such test
(also... | 1 | 0 | 0 | 0 | 0 | 0 |
Fast swaption pricing in Gaussian term structure models | We propose a fast and accurate numerical method for pricing European
swaptions in multi-factor Gaussian term structure models. Our method can be
used to accelerate the calibration of such models to the volatility surface.
The pricing of an interest rate option in such a model involves evaluating a
multi-dimensional i... | 0 | 0 | 0 | 0 | 0 | 1 |
Temporal-related Convolutional-Restricted-Boltzmann-Machine capable of learning relational order via reinforcement learning procedure? | In this article, we extend the conventional framework of
convolutional-Restricted-Boltzmann-Machine to learn highly abstract features
among abitrary number of time related input maps by constructing a layer of
multiplicative units, which capture the relations among inputs. In many cases,
more than two maps are strong... | 1 | 0 | 0 | 1 | 0 | 0 |
Predicting how and when hidden neurons skew measured synaptic interactions | A major obstacle to understanding neural coding and computation is the fact
that experimental recordings typically sample only a small fraction of the
neurons in a circuit. Measured neural properties are skewed by interactions
between recorded neurons and the "hidden" portion of the network. To properly
interpret neu... | 0 | 1 | 0 | 0 | 0 | 0 |
Humanoid Robots as Agents of Human Consciousness Expansion | The "Loving AI" project involves developing software enabling humanoid robots
to interact with people in loving and compassionate ways, and to promote
people' self-understanding and self-transcendence. Currently the project
centers on the Hanson Robotics robot "Sophia" -- specifically, on supplying
Sophia with person... | 1 | 0 | 0 | 0 | 0 | 0 |
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training | In this paper we study leveraging confidence information induced by
adversarial training to reinforce adversarial robustness of a given
adversarially trained model. A natural measure of confidence is $\|F({\bf
x})\|_\infty$ (i.e. how confident $F$ is about its prediction?). We start by
analyzing an adversarial traini... | 1 | 0 | 0 | 1 | 0 | 0 |
Stateless Puzzles for Real Time Online Fraud Preemption | The profitability of fraud in online systems such as app markets and social
networks marks the failure of existing defense mechanisms. In this paper, we
propose FraudSys, a real-time fraud preemption approach that imposes
Bitcoin-inspired computational puzzles on the devices that post online system
activities, such a... | 1 | 0 | 0 | 0 | 0 | 0 |
Multi-Period Flexibility Forecast for Low Voltage Prosumers | Near-future electric distribution grids operation will have to rely on
demand-side flexibility, both by implementation of demand response strategies
and by taking advantage of the intelligent management of increasingly common
small-scale energy storage. The Home energy management system (HEMS), installed
at low volta... | 1 | 0 | 0 | 0 | 0 | 0 |
Assessing the Economics of Customer-Sited Multi-Use Energy Storage | This paper presents an approach to assess the economics of customer-sited
energy storage systems (ESSs) which are owned and operated by a customer. The
ESSs can participate in frequency regulation and spinning reserve markets, and
are used to help the customer consume available renewable energy and reduce
electricity... | 0 | 0 | 1 | 0 | 0 | 0 |
A Hamiltonian approach for the Thermodynamics of AdS black holes | In this work we study the Thermodynamics of D-dimensional Schwarzschild-anti
de Sitter (SAdS) black holes. The minimal Thermodynamics of the SAdS spacetime
is briefly discussed, highlighting some of its strong points and shortcomings.
The minimal SAdS Thermodynamics is extended within a Hamiltonian approach, by
means... | 0 | 1 | 1 | 0 | 0 | 0 |
Dzyaloshinskii Moriya interaction across antiferromagnet / ferromagnet interface | The antiferromagnet (AFM) / ferromagnet (FM) interfaces are of central
importance in recently developed pure electric or ultrafast control of FM
spins, where the underlying mechanisms remain unresolved. Here we report the
direct observation of Dzyaloshinskii Moriya interaction (DMI) across the AFM/FM
interface of IrM... | 0 | 1 | 0 | 0 | 0 | 0 |
Pore cross-talk in colloidal filtration | Blockage of pores by particles is found in many processes, including
filtration and oil extraction. We present filtration experiments through a
linear array of ten channels with one dimension which is sub-micron, through
which a dilute dispersion of Brownian polystyrene spheres flows under the
action of a fixed press... | 0 | 1 | 0 | 0 | 0 | 0 |
Temporal Markov Processes for Transport in Porous Media: Random Lattice Networks | Monte Carlo (MC) simulations of transport in random porous networks indicate
that for high variances of the log-normal permeability distribution, the
transport of a passive tracer is non-Fickian. Here we model this non-Fickian
dispersion in random porous networks using discrete temporal Markov models. We
show that su... | 1 | 1 | 0 | 0 | 0 | 0 |
Defect Properties of Na and K in Cu2ZnSnS4 from Hybrid Functional Calculation | In-growth or post-deposition treatment of $Cu_{2}ZnSnS_{4}$ (CZTS) absorber
layer had led to improved photovoltaic efficiency, however, the underlying
physical mechanism of such improvements are less studied. In this study, the
thermodynamics of Na and K related defects in CZTS are investigated from first
principle a... | 0 | 1 | 0 | 0 | 0 | 0 |
Explicit minimisation of a convex quadratic under a general quadratic constraint: a global, analytic approach | A novel approach is introduced to a very widely occurring problem, providing
a complete, explicit resolution of it: minimisation of a convex quadratic under
a general quadratic, equality or inequality, constraint. Completeness comes via
identification of a set of mutually exclusive and exhaustive special cases.
Expli... | 0 | 0 | 1 | 1 | 0 | 0 |
Morphisms of open games | We define a notion of morphisms between open games, exploiting a surprising
connection between lenses in computer science and compositional game theory.
This extends the more intuitively obvious definition of globular morphisms as
mappings between strategy profiles that preserve best responses, and hence in
particula... | 1 | 0 | 0 | 0 | 0 | 0 |
U(1)$\times$SU(2) Gauge Invariance Made Simple for Density Functional Approximations | A semi-relativistic density-functional theory that includes spin-orbit
couplings and Zeeman fields on equal footing with the electromagnetic
potentials, is an appealing framework to develop a unified first-principles
computational approach for non-collinear magnetism, spintronics, orbitronics,
and topological states.... | 0 | 1 | 0 | 0 | 0 | 0 |
L^2-Betti numbers of rigid C*-tensor categories and discrete quantum groups | We compute the $L^2$-Betti numbers of the free $C^*$-tensor categories, which
are the representation categories of the universal unitary quantum groups
$A_u(F)$. We show that the $L^2$-Betti numbers of the dual of a compact quantum
group $G$ are equal to the $L^2$-Betti numbers of the representation category
$Rep(G)$... | 0 | 0 | 1 | 0 | 0 | 0 |
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