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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"I can assure you [$\ldots$] that it's going to be all right" -- A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships | As technology become more advanced, those who design, use and are otherwise
affected by it want to know that it will perform correctly, and understand why
it does what it does, and how to use it appropriately. In essence they want to
be able to trust the systems that are being designed. In this survey we present
assu... | 1 | 0 | 0 | 1 | 0 | 0 |
Study of Electro-Caloric Effect in Ca and Sn co-Doped BaTiO3 Ceramics | The present work deals with the study of structural, ferroelectric,
dielectric and electro-caloric effects in lead free ferroelectric
polycrystalline Ba1-xCaxTi0.95Sn0.05O3 (x= 2, 5 and 10 %) i.e., Ca, Sn co-doped
BaTiO3 (BTO). Phase purity of the samples is confirmed from X-ray data by using
Rietveld refinement. 119... | 0 | 1 | 0 | 0 | 0 | 0 |
Motivic Measures through Waldhausen K-Theories | In this paper we introduce the notion of a $cdp$-functor to a Waldhausen
category. We show that such functors admit extensions that satisfy the excision
property, to which we associate Euler-Poincaré characteristics that send the
class of a proper scheme to the class of its image. As an application, we show
that the ... | 0 | 0 | 1 | 0 | 0 | 0 |
A Brief Introduction to Machine Learning for Engineers | This monograph aims at providing an introduction to key concepts, algorithms,
and theoretical results in machine learning. The treatment concentrates on
probabilistic models for supervised and unsupervised learning problems. It
introduces fundamental concepts and algorithms by building on first principles,
while also... | 1 | 0 | 0 | 1 | 0 | 0 |
The Development of Microfluidic Systems within the Harrison Research Team | D. Jed Harrison is a full professor at the Department of Chemistry at the
University of Alberta. Here he describes the development of microfluidic
techniques in his lab from the initial demonstration of an integrated
separation system for samples in liquids to the recent development of methods
to fabricate crystallin... | 0 | 0 | 0 | 0 | 1 | 0 |
Landau phonon-roton theory revisited for superfluid helium 4 and Fermi gases | Liquid helium and spin-1/2 cold-atom Fermi gases both exhibit in their
superfluid phase two distinct types of excitations, gapless phonons and gapped
rotons or fermionic pair-breaking excitations. In the long wavelength limit,
revising and extending Landau and Khalatnikov's theory initially developed for
helium [ZhET... | 0 | 1 | 0 | 0 | 0 | 0 |
Counting points on hyperelliptic curves with explicit real multiplication in arbitrary genus | We present a probabilistic Las Vegas algorithm for computing the local zeta
function of a genus-$g$ hyperelliptic curve defined over $\mathbb F_q$ with
explicit real multiplication (RM) by an order $\Z[\eta]$ in a degree-$g$
totally real number field.
It is based on the approaches by Schoof and Pila in a more favorab... | 1 | 0 | 0 | 0 | 0 | 0 |
Minimal surfaces and Schwarz lemma | We prove a sharp Schwarz type inequality for the Weierstrass-Enneper
representation of the minimal surfaces.
| 0 | 0 | 1 | 0 | 0 | 0 |
Estimating activity cycles with probabilistic methods I. Bayesian Generalised Lomb-Scargle Periodogram with Trend | Period estimation is one of the central topics in astronomical time series
analysis, where data is often unevenly sampled. Especially challenging are
studies of stellar magnetic cycles, as there the periods looked for are of the
order of the same length than the datasets themselves. The datasets often
contain trends,... | 0 | 1 | 0 | 1 | 0 | 0 |
Mean Actor Critic | We propose a new algorithm, Mean Actor-Critic (MAC), for discrete-action
continuous-state reinforcement learning. MAC is a policy gradient algorithm
that uses the agent's explicit representation of all action values to estimate
the gradient of the policy, rather than using only the actions that were
actually executed... | 1 | 0 | 0 | 1 | 0 | 0 |
HAWC Observations Strongly Favor Pulsar Interpretations of the Cosmic-Ray Positron Excess | Recent measurements of the Geminga and B0656+14 pulsars by the gamma-ray
telescope HAWC (along with earlier measurements by Milagro) indicate that these
objects generate significant fluxes of very high-energy electrons. In this
paper, we use the very high-energy gamma-ray intensity and spectrum of these
pulsars to ca... | 0 | 1 | 0 | 0 | 0 | 0 |
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning | Deep neural networks require a large amount of labeled training data during
supervised learning. However, collecting and labeling so much data might be
infeasible in many cases. In this paper, we introduce a source-target selective
joint fine-tuning scheme for improving the performance of deep learning tasks
with ins... | 1 | 0 | 0 | 1 | 0 | 0 |
The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning | With the development of robotics, there are growing needs for real time
motion planning. However, due to obstacles in the environment, the planning
problem is highly non-convex, which makes it difficult to achieve real time
computation using existing non-convex optimization algorithms. This paper
introduces the conve... | 1 | 0 | 0 | 0 | 0 | 0 |
Continuous-Time Visual-Inertial Odometry for Event Cameras | Event cameras are bio-inspired vision sensors that output pixel-level
brightness changes instead of standard intensity frames. They offer significant
advantages over standard cameras, namely a very high dynamic range, no motion
blur, and a latency in the order of microseconds. However, due to the
fundamentally differ... | 1 | 0 | 0 | 0 | 0 | 0 |
Reconstructing a $f(R)$ theory from the $α$-Attractors | We show an analogy at high curvature between a $f(R) = R + aR^{n - 1} + bR^2$
theory and the $\alpha$-Attractors. We calculate the expressions of the
parameters $a$, $b$ and $n$ as functions of $\alpha$ and the predictions of the
model $f(R) = R + aR^{n - 1} + bR^2$ on the scalar spectral index $n_{\rm s}$
and the te... | 0 | 1 | 0 | 0 | 0 | 0 |
Systems of ergodic BSDE arising in regime switching forward performance processes | We introduce and solve a new type of quadratic backward stochastic
differential equation systems defined in an infinite time horizon, called
\emph{ergodic BSDE systems}. Such systems arise naturally as candidate
solutions to characterize forward performance processes and their associated
optimal trading strategies in... | 0 | 0 | 0 | 0 | 0 | 1 |
Extraction and Classification of Diving Clips from Continuous Video Footage | Due to recent advances in technology, the recording and analysis of video
data has become an increasingly common component of athlete training
programmes. Today it is incredibly easy and affordable to set up a fixed camera
and record athletes in a wide range of sports, such as diving, gymnastics,
golf, tennis, etc. H... | 1 | 0 | 0 | 0 | 0 | 0 |
The inertial Jacquet-Langlands correspondence | We give a parametrization of the simple Bernstein components of inner forms
of a general linear group over a local field by invariants constructed from
type theory, and explicitly describe its behaviour under the Jacquet-Langlands
correspondence. Along the way, we prove a conjecture of Broussous, Sécherre
and Stevens... | 0 | 0 | 1 | 0 | 0 | 0 |
Universal geometric constraints during epithelial jamming | As an injury heals, an embryo develops, or a carcinoma spreads, epithelial
cells systematically change their shape. In each of these processes cell shape
is studied extensively, whereas variation of shape from cell-to-cell is
dismissed most often as biological noise. But where do cell shape and variation
of cell shap... | 0 | 1 | 0 | 0 | 0 | 0 |
Semi-independent resampling for particle filtering | Among Sequential Monte Carlo (SMC) methods,Sampling Importance Resampling
(SIR) algorithms are based on Importance Sampling (IS) and on some
resampling-based)rejuvenation algorithm which aims at fighting against weight
degeneracy. However %whichever the resampling technique used this mechanism
tends to be insufficien... | 0 | 0 | 0 | 1 | 0 | 0 |
Free Information Flow Benefits Truth Seeking | How can we approach the truth in a society? It may depend on various factors.
In this paper, using a well-established truth seeking model, we show that the
persistent free information flow will bring us to the truth. Here the free
information flow is modeled as the environmental random noise that could alter
one's co... | 1 | 1 | 1 | 0 | 0 | 0 |
Towards a Holistic Approach to Designing Theory-based Mobile Health Interventions | Increasing evidence has shown that theory-based health behavior change
interventions are more effective than non-theory-based ones. However, only a
few segments of relevant studies were theory-based, especially the studies
conducted by non-psychology researchers. On the other hand, many mobile health
interventions, e... | 1 | 0 | 0 | 0 | 0 | 0 |
Connections between transport of intensity equation and two-dimensional phase unwrapping | In a recent publication [Appl. Opt. 55, 2418 (2016)], a method for
two-dimensional phase unwrapping based on the transport of intensity equation
(TIE) was studied. We wish to show that this approach is associated with the
standard least squares phase unwrapping algorithm, but with additional
numerical errors.
| 0 | 1 | 0 | 0 | 0 | 0 |
On approximations of Value at Risk and Expected Shortfall involving kurtosis | We derive new approximations for the Value at Risk and the Expected Shortfall
at high levels of loss distributions with positive skewness and excess
kurtosis, and we describe their precisions for notable ones such as for
exponential, Pareto type I, lognormal and compound (Poisson) distributions. Our
approximations ar... | 0 | 0 | 0 | 0 | 0 | 1 |
DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications | Computational methods that predict differential gene expression from histone
modification signals are highly desirable for understanding how histone
modifications control the functional heterogeneity of cells through influencing
differential gene regulation. Recent studies either failed to capture
combinatorial effec... | 0 | 0 | 0 | 1 | 0 | 0 |
t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data | Modern datasets and models are notoriously difficult to explore and analyze
due to their inherent high dimensionality and massive numbers of samples.
Existing visualization methods which employ dimensionality reduction to two or
three dimensions are often inefficient and/or ineffective for these datasets.
This paper ... | 1 | 0 | 0 | 1 | 0 | 0 |
Coma Cluster Ultra-Diffuse Galaxies Are Not Standard Radio Galaxies | Matching members in the Coma cluster catalogue of ultra-diffuse galaxies
(UDGs, Yagi et al. 2016) from SUBARU imaging with a very deep radio continuum
survey source catalogue of the cluster (Miller et al. 2009) using the Karl G.
Jansky Very Large Array (VLA) within a rectangular region of ~ 1.19 square
degrees centre... | 0 | 1 | 0 | 0 | 0 | 0 |
LD-SDS: Towards an Expressive Spoken Dialogue System based on Linked-Data | In this work we discuss the related challenges and describe an approach
towards the fusion of state-of-the-art technologies from the Spoken Dialogue
Systems (SDS) and the Semantic Web and Information Retrieval domains. We
envision a dialogue system named LD-SDS that will support advanced, expressive,
and engaging use... | 1 | 0 | 0 | 0 | 0 | 0 |
On a spiked model for large volatility matrix estimation from noisy high-frequency data | Recently, inference about high-dimensional integrated covariance matrices
(ICVs) based on noisy high-frequency data has emerged as a challenging problem.
In the literature, a pre-averaging estimator (PA-RCov) is proposed to deal with
the microstructure noise. Using the large-dimensional random matrix theory, it
has b... | 0 | 0 | 0 | 1 | 0 | 0 |
Graph-based Features for Automatic Online Abuse Detection | While online communities have become increasingly important over the years,
the moderation of user-generated content is still performed mostly manually.
Automating this task is an important step in reducing the financial cost
associated with moderation, but the majority of automated approaches strictly
based on messa... | 1 | 0 | 0 | 0 | 0 | 0 |
All Classical Adversary Methods are Equivalent for Total Functions | We show that all known classical adversary lower bounds on randomized query
complexity are equivalent for total functions, and are equal to the fractional
block sensitivity $\text{fbs}(f)$. That includes the Kolmogorov complexity
bound of Laplante and Magniez and the earlier relational adversary bound of
Aaronson. Th... | 1 | 0 | 0 | 0 | 0 | 0 |
A new approach for short-spacing correction of radio interferometric data sets | The short-spacing problem describes the inherent inability of
radio-interferometric arrays to measure the integrated flux and structure of
diffuse emission associated with extended sources. New interferometric arrays,
such as SKA, require solutions to efficiently combine interferometer and
single-dish data.
We presen... | 0 | 1 | 0 | 0 | 0 | 0 |
Data and uncertainty in extreme risks - a nonlinear expectations approach | Estimation of tail quantities, such as expected shortfall or Value at Risk,
is a difficult problem. We show how the theory of nonlinear expectations, in
particular the Data-robust expectation introduced in [5], can assist in the
quantification of statistical uncertainty for these problems. However, when we
are in a h... | 0 | 0 | 1 | 1 | 0 | 0 |
Flow equations for cold Bose gases | We derive flow equations for cold atomic gases with one macroscopically
populated energy level. The generator is chosen such that the ground state
decouples from all other states in the system as the renormalization group flow
progresses. We propose a self-consistent truncation scheme for the flow
equations at the le... | 0 | 1 | 0 | 0 | 0 | 0 |
Fluid flows shaping organism morphology | A dynamic self-organized morphology is the hallmark of network-shaped
organisms like slime moulds and fungi. Organisms continuously re-organize their
flexible, undifferentiated body plans to forage for food. Among these organisms
the slime mould Physarum polycephalum has emerged as a model to investigate how
organism... | 0 | 0 | 0 | 0 | 1 | 0 |
Frames of exponentials and sub-multitiles in LCA groups | In this note we investigate the existence of frames of exponentials for
$L^2(\Omega)$ in the setting of LCA groups. Our main result shows that
sub-multitiling properties of $\Omega \subset \widehat{G}$ with respect to a
uniform lattice $\Gamma$ of $\widehat{G}$ guarantee the existence of a frame of
exponentials with ... | 0 | 0 | 1 | 0 | 0 | 0 |
Exponential Random Graph Models with Big Networks: Maximum Pseudolikelihood Estimation and the Parametric Bootstrap | With the growth of interest in network data across fields, the Exponential
Random Graph Model (ERGM) has emerged as the leading approach to the
statistical analysis of network data. ERGM parameter estimation requires the
approximation of an intractable normalizing constant. Simulation methods
represent the state-of-t... | 0 | 0 | 0 | 1 | 0 | 0 |
Critical behavior of a stochastic anisotropic Bak-Sneppen model | In this paper we present our study on the critical behavior of a stochastic
anisotropic Bak-Sneppen (saBS) model, in which a parameter $\alpha$ is
introduced to describe the interaction strength among nearest species. We
estimate the threshold fitness $f_c$ and the critical exponent $\tau_r$ by
numerically integratin... | 0 | 1 | 0 | 0 | 0 | 0 |
Probability, Statistics and Planet Earth, I: Geotemporal covariances | The study of covariances (or positive definite functions) on the sphere (the
Earth, in our motivation) goes back to Bochner and Schoenberg (1940--42) and to
the first author (1969, 1973), among others. Extending to the geotemporal case
(sphere cross line, for position and time) was for a long time an obstacle to
geos... | 0 | 1 | 0 | 1 | 0 | 0 |
Gang-GC: Locality-aware Parallel Data Placement Optimizations for Key-Value Storages | Many cloud applications rely on fast and non-relational storage to aid in the
processing of large amounts of data. Managed runtimes are now widely used to
support the execution of several storage solutions of the NoSQL movement,
particularly when dealing with big data key-value store-driven applications.
The benefits... | 1 | 0 | 0 | 0 | 0 | 0 |
Good cyclic codes and the uncertainty principle | A long standing problem in the area of error correcting codes asks whether
there exist good cyclic codes. Most of the known results point in the direction
of a negative answer.
The uncertainty principle is a classical result of harmonic analysis
asserting that given a non-zero function $f$ on some abelian group, eith... | 1 | 0 | 1 | 0 | 0 | 0 |
An Amateur Drone Surveillance System Based on Cognitive Internet of Things | Drones, also known as mini-unmanned aerial vehicles, have attracted
increasing attention due to their boundless applications in communications,
photography, agriculture, surveillance and numerous public services. However,
the deployment of amateur drones poses various safety, security and privacy
threats. To cope wit... | 1 | 0 | 0 | 0 | 0 | 0 |
Two-species boson mixture on a ring: A group theoretic approach to the quantum dynamics of low-energy excitations | We investigate the weak excitations of a system made up of two condensates
trapped in a Bose-Hubbard ring and coupled by an interspecies repulsive
interaction. Our approach, based on the Bogoliubov approximation scheme, shows
that one can reduce the problem Hamiltonian to the sum of sub-Hamiltonians
$\hat{H}_k$, each... | 0 | 1 | 0 | 0 | 0 | 0 |
On a simple model of X_0(N) | We find plane models for all $X_0(N)$, $N\geq 2$. We observe a map from the
modular curve $X_0(N)$ to the projective plane constructed using modular forms
of weight $12$ for the group $\Gamma_0(N)$; the Ramanujan function $\Delta$,
$\Delta(N\cdot)$ and the third power of Eisestein series of weight $4$,
$E_4^3$, and p... | 0 | 0 | 1 | 0 | 0 | 0 |
A Supervised STDP-based Training Algorithm for Living Neural Networks | Neural networks have shown great potential in many applications like speech
recognition, drug discovery, image classification, and object detection. Neural
network models are inspired by biological neural networks, but they are
optimized to perform machine learning tasks on digital computers. The proposed
work explor... | 1 | 0 | 0 | 1 | 0 | 0 |
Optimal Topology Design for Disturbance Minimization in Power Grids | The transient response of power grids to external disturbances influences
their stable operation. This paper studies the effect of topology in linear
time-invariant dynamics of different power grids. For a variety of objective
functions, a unified framework based on $H_2$ norm is presented to analyze the
robustness t... | 1 | 0 | 1 | 0 | 0 | 0 |
Asymptotic behaviour of the Christoffel functions on the Unit Ball in the presence of a Mass on the Sphere | We present a family of mutually orthogonal polynomials on the unit ball with
respect to an inner product which includes a mass uniformly distributed on the
sphere. First, connection formulas relating these multivariate orthogonal
polynomials and the classical ball polynomials are obtained. Then, using the
representat... | 0 | 0 | 1 | 0 | 0 | 0 |
Tangent: Automatic Differentiation Using Source Code Transformation in Python | Automatic differentiation (AD) is an essential primitive for machine learning
programming systems. Tangent is a new library that performs AD using source
code transformation (SCT) in Python. It takes numeric functions written in a
syntactic subset of Python and NumPy as input, and generates new Python
functions which... | 1 | 0 | 0 | 1 | 0 | 0 |
Ca II K 1-A Emission Index Composites | We describe here a procedure to combine measurements in the 393.37 nm Ca II K
spectral line taken at different observatories. Measurements from the National
Solar Observatory (NSO) Integrated Sunlight Spectrometer (ISS) on the Synoptic
Optical Long-term Investigations of the Sun (SOLIS) telescope, the NSO/Sac Peak
Ca... | 0 | 1 | 0 | 0 | 0 | 0 |
Application of the Bead Perturbation Technique to a Study of a Tunable 5 GHz Annular Cavity | Microwave cavities for a Sikivie-type axion search are subject to several
constraints. In the fabrication and operation of such cavities, often used at
frequencies where the resonator is highly overmoded, it is important to be able
to reliably identify several properties of the cavity. Those include
identifying the s... | 0 | 1 | 0 | 0 | 0 | 0 |
Homogeneous Kobayashi-hyperbolic manifolds with high-dimensional group of holomorphic automorphisms | We determine all connected homogeneous Kobayashi-hyperbolic manifolds of
dimension $n\ge 2$ whose holomorphic automorphism group has dimension $n^2-2$.
This result complements an existing classification for automorphism group
dimension $n^2-1$ and greater obtained without the homogeneity assumption.
| 0 | 0 | 1 | 0 | 0 | 0 |
New estimates for some functions defined over primes | In this paper we first establish new explicit estimates for Chebyshev's
$\vartheta$-function. Applying these new estimates, we derive new upper and
lower bounds for some functions defined over the prime numbers, for instance
the prime counting function $\pi(x)$, which improve the currently best ones.
Furthermore, we ... | 0 | 0 | 1 | 0 | 0 | 0 |
Transferrable End-to-End Learning for Protein Interface Prediction | While there has been an explosion in the number of experimentally determined,
atomically detailed structures of proteins, how to represent these structures
in a machine learning context remains an open research question. In this work
we demonstrate that representations learned from raw atomic coordinates can
outperfo... | 0 | 0 | 0 | 1 | 1 | 0 |
A new astrophysical solution to the Too Big To Fail problem - Insights from the MoRIA simulations | We test whether advanced galaxy models and analysis techniques of simulations
can alleviate the Too Big To Fail problem (TBTF) for late-type galaxies, which
states that isolated dwarf galaxy kinematics imply that dwarfs live in
lower-mass halos than is expected in a {\Lambda}CDM universe. Furthermore, we
want to expl... | 0 | 1 | 0 | 0 | 0 | 0 |
Friction Variability in Planar Pushing Data: Anisotropic Friction and Data-collection Bias | Friction plays a key role in manipulating objects. Most of what we do with
our hands, and most of what robots do with their grippers, is based on the
ability to control frictional forces. This paper aims to better understand the
variability and predictability of planar friction. In particular, we focus on
the analysi... | 1 | 0 | 0 | 0 | 0 | 0 |
Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers | Turkish Wikipedia Named-Entity Recognition and Text Categorization (TWNERTC)
dataset is a collection of automatically categorized and annotated sentences
obtained from Wikipedia. We constructed large-scale gazetteers by using a graph
crawler algorithm to extract relevant entity and domain information from a
semantic ... | 1 | 0 | 0 | 0 | 0 | 0 |
Strong Completeness and the Finite Model Property for Bi-Intuitionistic Stable Tense Logics | Bi-Intuitionistic Stable Tense Logics (BIST Logics) are tense logics with a
Kripke semantics where worlds in a frame are equipped with a pre-order as well
as with an accessibility relation which is 'stable' with respect to this
pre-order. BIST logics are extensions of a logic, BiSKt, which arose in the
semantic conte... | 1 | 0 | 1 | 0 | 0 | 0 |
Using lab notebooks to examine students' engagement in modeling in an upper-division electronics lab course | We demonstrate how students' use of modeling can be examined and assessed
using student notebooks collected from an upper-division electronics lab
course. The use of models is a ubiquitous practice in undergraduate physics
education, but the process of constructing, testing, and refining these models
is much less com... | 0 | 1 | 0 | 0 | 0 | 0 |
An accurate finite element method for the numerical solution of isothermal and incompressible flow of viscous fluid | Despite its numerical challenges, finite element method is used to compute
viscous fluid flow. A consensus on the cause of numerical problems has been
reached; however, general algorithms---allowing a robust and accurate
simulation for any process---are still missing. Either a very high
computational cost is necessar... | 1 | 1 | 0 | 0 | 0 | 0 |
Re-evaluating Evaluation | Progress in machine learning is measured by careful evaluation on problems of
outstanding common interest. However, the proliferation of benchmark suites and
environments, adversarial attacks, and other complications has diluted the
basic evaluation model by overwhelming researchers with choices. Deliberate or
accide... | 0 | 0 | 0 | 1 | 0 | 0 |
Ranking and Selection as Stochastic Control | Under a Bayesian framework, we formulate the fully sequential sampling and
selection decision in statistical ranking and selection as a stochastic control
problem, and derive the associated Bellman equation. Using value function
approximation, we derive an approximately optimal allocation policy. We show
that this po... | 1 | 0 | 0 | 1 | 0 | 0 |
An application of $Γ$-semigroups techniques to the Green's Theorem | The concept of a $\Gamma$-semigroup has been introduced by Mridul Kanti Sen
in the Int. Symp., New Delhi, 1981. It is well known that the Green's relations
play an essential role in studying the structure of semigroups. In the present
paper we deal with an application of $\Gamma$-semigroups techniques to the
Green's ... | 0 | 0 | 1 | 0 | 0 | 0 |
Reflection from a multi-species material and its transmitted effective wavenumber | We formally deduce closed-form expressions for the transmitted effective
wavenumber of a material comprising multiple types of inclusions or particles
(multi-species), dispersed in a uniform background medium. The expressions,
derived here for the first time, are valid for moderate volume fractions and
without restri... | 0 | 1 | 0 | 0 | 0 | 0 |
Colouring perfect graphs with bounded clique number | A graph is perfect if the chromatic number of every induced subgraph equals
the size of its largest clique, and an algorithm of Grötschel, Lovász, and
Schrijver from 1988 finds an optimal colouring of a perfect graph in polynomial
time. But this algorithm uses the ellipsoid method, and it is a well-known open
questio... | 1 | 0 | 0 | 0 | 0 | 0 |
Resilient Learning-Based Control for Synchronization of Passive Multi-Agent Systems under Attack | In this paper, we show synchronization for a group of output passive agents
that communicate with each other according to an underlying communication graph
to achieve a common goal. We propose a distributed event-triggered control
framework that will guarantee synchronization and considerably decrease the
required co... | 1 | 0 | 0 | 1 | 0 | 0 |
EMG-Controlled Hand Teleoperation Using a Continuous Teleoperation Subspace | We present a method for EMG-driven teleoperation of non-anthropomorphic robot
hands. EMG sensors are appealing as a wearable, inexpensive and unobtrusive way
to gather information about the teleoperator's hand pose. However, mapping from
EMG signals to the pose space of a non-anthropomorphic hand presents multiple
ch... | 1 | 0 | 0 | 0 | 0 | 0 |
Numerical solutions of Hamiltonian PDEs: a multi-symplectic integrator in light-cone coordinates | We introduce a novel numerical method to integrate partial differential
equations representing the Hamiltonian dynamics of field theories. It is a
multi-symplectic integrator that locally conserves the stress-energy tensor
with an excellent precision over very long periods. Its major advantage is that
it is extremely... | 0 | 1 | 1 | 0 | 0 | 0 |
Magnetite nano-islands on silicon-carbide with graphene | X-ray magnetic circular dichroism (XMCD) measurements of iron nano-islands
grown on graphene and covered with a Au film for passivation reveal that the
oxidation through defects in the Au film spontaneously leads to the formation
of magnetite nano-particles (i.e, $Fe_3$$O_4$). The Fe nano-islands (20 and 75
monolayer... | 0 | 1 | 0 | 0 | 0 | 0 |
Activation Ensembles for Deep Neural Networks | Many activation functions have been proposed in the past, but selecting an
adequate one requires trial and error. We propose a new methodology of
designing activation functions within a neural network at each layer. We call
this technique an "activation ensemble" because it allows the use of multiple
activation funct... | 0 | 0 | 0 | 1 | 0 | 0 |
Formation of coalition structures as a non-cooperative game | Traditionally social sciences are interested in structuring people in
multiple groups based on their individual preferences. This pa- per suggests an
approach to this problem in the framework of a non- cooperative game theory.
Definition of a suggested finite game includes a family of nested simultaneous
non-cooperat... | 1 | 0 | 1 | 0 | 0 | 0 |
Smooth and Sparse Optimal Transport | Entropic regularization is quickly emerging as a new standard in optimal
transport (OT). It enables to cast the OT computation as a differentiable and
unconstrained convex optimization problem, which can be efficiently solved
using the Sinkhorn algorithm. However, entropy keeps the transportation plan
strictly positi... | 1 | 0 | 0 | 1 | 0 | 0 |
The stability and energy exchange mechanism of divergent states with real energy | The eigenvalue of the hermitic Hamiltonian is real undoubtedly. Actually, The
reality can also be guaranteed by the $PT$-symmetry. The hermiticity and the
$PT$-symmetric quantum theory both have requirements regarding the boundary
condition. There exists a reverse strategy to investigate the quantum problem.
Namely, ... | 0 | 1 | 0 | 0 | 0 | 0 |
A bound on partitioning clusters | Let $X$ be a finite collection of sets (or "clusters"). We consider the
problem of counting the number of ways a cluster $A \in X$ can be partitioned
into two disjoint clusters $A_1, A_2 \in X$, thus $A = A_1 \uplus A_2$ is the
disjoint union of $A_1$ and $A_2$; this problem arises in the run time analysis
of the AST... | 0 | 0 | 1 | 0 | 0 | 0 |
X-ray emission from thin plasmas. Collisional ionization for atoms and ions of H to Zn | Every observation of astrophysical objects involving a spectrum requires
atomic data for the interpretation of line fluxes, line ratios and ionization
state of the emitting plasma. One of the processes which determines it is
collisional ionization. In this study an update of the direct ionization (DI)
and excitation-... | 0 | 1 | 0 | 0 | 0 | 0 |
Support Spinor Machine | We generalize a support vector machine to a support spinor machine by using
the mathematical structure of wedge product over vector machine in order to
extend field from vector field to spinor field. The separated hyperplane is
extended to Kolmogorov space in time series data which allow us to extend a
structure of s... | 1 | 0 | 0 | 1 | 0 | 0 |
Various generalizations and deformations of $PSL(2,\mathbb{R})$ surface group representations and their Higgs bundles | Recall that the group $PSL(2,\mathbb R)$ is isomorphic to $PSp(2,\mathbb R),\
SO_0(1,2)$ and $PU(1,1).$ The goal of this paper is to examine the various ways
in which Fuchsian representations of the fundamental group of a closed surface
of genus $g$ into $PSL(2,\mathbb R)$ and their associated Higgs bundles
generaliz... | 0 | 0 | 1 | 0 | 0 | 0 |
Redundancy schemes for engineering coherent systems via a signature-based approach | This paper proposes a signature-based approach for solving redundancy
allocation problems when component lifetimes are not only heterogeneous but
also dependent. The two common schemes for allocations, that is active and
standby redundancies, are considered. If the component lifetimes are
independent, the proposed ap... | 0 | 0 | 0 | 1 | 0 | 0 |
Anisotropy effects on Baryogenesis in $f(R)$-Theories of Gravity | We study the $f(R)$ theory of gravity in an anisotropic metric and its effect
on the baryon number to entropy ratio. The mechanism of gravitational
baryogenesis based on the CPT-violating gravitational interaction between
derivative of the Ricci scalar curvature and the baryon-number current is
investigated in the co... | 0 | 1 | 0 | 0 | 0 | 0 |
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation | Visual tracking is a fundamental problem in computer vision. Recently, some
deep-learning-based tracking algorithms have been achieving record-breaking
performances. However, due to the high complexity of deep learning, most deep
trackers suffer from low tracking speed, and thus are impractical in many
real-world app... | 1 | 0 | 0 | 0 | 0 | 0 |
Simply Exponential Approximation of the Permanent of Positive Semidefinite Matrices | We design a deterministic polynomial time $c^n$ approximation algorithm for
the permanent of positive semidefinite matrices where $c=e^{\gamma+1}\simeq
4.84$. We write a natural convex relaxation and show that its optimum solution
gives a $c^n$ approximation of the permanent. We further show that this factor
is asymp... | 1 | 0 | 0 | 0 | 0 | 0 |
Stochastic Variance Reduction for Policy Gradient Estimation | Recent advances in policy gradient methods and deep learning have
demonstrated their applicability for complex reinforcement learning problems.
However, the variance of the performance gradient estimates obtained from the
simulation is often excessive, leading to poor sample efficiency. In this
paper, we apply the st... | 1 | 0 | 0 | 1 | 0 | 0 |
Weighted Low-Rank Approximation of Matrices and Background Modeling | We primarily study a special a weighted low-rank approximation of matrices
and then apply it to solve the background modeling problem. We propose two
algorithms for this purpose: one operates in the batch mode on the entire data
and the other one operates in the batch-incremental mode on the data and
naturally captur... | 1 | 0 | 0 | 0 | 0 | 0 |
Master equation for She-Leveque scaling and its classification in terms of other Markov models of developed turbulence | We derive the Markov process equivalent to She-Leveque scaling in homogeneous
and isotropic turbulence. The Markov process is a jump process for velocity
increments $u(r)$ in scale $r$ in which the jumps occur randomly but with
deterministic width in $u$. From its master equation we establish a
prescription to simula... | 0 | 1 | 0 | 0 | 0 | 0 |
Scaling Universality at the Dynamic Vortex Mott Transition | The dynamic Mott insulator-to-metal transition (DMT) is key to many
intriguing phenomena in condensed matter physics yet it remains nearly
unexplored. The cleanest way to observe DMT, without the interference from
disorder and other effects inherent to electronic and atomic systems, is to
employ the vortex Mott state... | 0 | 1 | 0 | 0 | 0 | 0 |
Assessment Formats and Student Learning Performance: What is the Relation? | Although compelling assessments have been examined in recent years, more
studies are required to yield a better understanding of the several methods
where assessment techniques significantly affect student learning process. Most
of the educational research in this area does not consider demographics data,
differing m... | 1 | 0 | 0 | 1 | 0 | 0 |
Sharing deep generative representation for perceived image reconstruction from human brain activity | Decoding human brain activities via functional magnetic resonance imaging
(fMRI) has gained increasing attention in recent years. While encouraging
results have been reported in brain states classification tasks, reconstructing
the details of human visual experience still remains difficult. Two main
challenges that h... | 1 | 0 | 0 | 0 | 0 | 0 |
Two types of criticality in the brain | Neural networks with equal excitatory and inhibitory feedback show high
computational performance. They operate close to a critical point characterized
by the joint activation of large populations of neurons. Yet, in macaque motor
cortex we observe very different dynamics with weak fluctuations on the
population leve... | 0 | 1 | 0 | 0 | 0 | 0 |
Topological networks for quantum communication between distant qubits | Efficient communication between qubits relies on robust networks which allow
for fast and coherent transfer of quantum information. It seems natural to
harvest the remarkable properties of systems characterized by topological
invariants to perform this task. Here we show that a linear network of coupled
bosonic degre... | 0 | 1 | 0 | 0 | 0 | 0 |
How Criticality of Gene Regulatory Networks Affects the Resulting Morphogenesis under Genetic Perturbations | Whereas the relationship between criticality of gene regulatory networks
(GRNs) and dynamics of GRNs at a single cell level has been vigorously studied,
the relationship between the criticality of GRNs and system properties at a
higher level has remained unexplored. Here we aim at revealing a potential role
of critic... | 0 | 0 | 0 | 0 | 1 | 0 |
Task-Driven Convolutional Recurrent Models of the Visual System | Feed-forward convolutional neural networks (CNNs) are currently
state-of-the-art for object classification tasks such as ImageNet. Further,
they are quantitatively accurate models of temporally-averaged responses of
neurons in the primate brain's visual system. However, biological visual
systems have two ubiquitous a... | 0 | 0 | 0 | 0 | 1 | 0 |
Self-organization principles of intracellular pattern formation | Dynamic patterning of specific proteins is essential for the spatiotemporal
regulation of many important intracellular processes in procaryotes,
eucaryotes, and multicellular organisms. The emergence of patterns generated by
interactions of diffusing proteins is a paradigmatic example for
self-organization. In this a... | 0 | 0 | 0 | 0 | 1 | 0 |
Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science | If we pick $n$ random points uniformly in $[0,1]^d$ and connect each point to
its $k-$nearest neighbors, then it is well known that there exists a giant
connected component with high probability. We prove that in $[0,1]^d$ it
suffices to connect every point to $ c_{d,1} \log{\log{n}}$ points chosen
randomly among its... | 1 | 0 | 0 | 1 | 0 | 0 |
Theory of mechano-chemical patterning in biphasic biological tissues | The formation of self-organized patterns is key to the morphogenesis of
multicellular organisms, although a comprehensive theory of biological pattern
formation is still lacking. Here, we propose a minimal model combining tissue
mechanics to morphogen turnover and transport in order to explore new routes to
patternin... | 0 | 0 | 0 | 0 | 1 | 0 |
Diffusion time dependence of microstructural parameters in fixed spinal cord | Biophysical modelling of diffusion MRI is necessary to provide specific
microstructural tissue properties. However, estimating model parameters from
data with limited diffusion gradient strength, such as clinical scanners, has
proven unreliable due to a shallow optimization landscape. On the other hand,
estimation of... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimizing Epistemic Model Checking Using Conditional Independence (Extended Abstract) | This paper shows that conditional independence reasoning can be applied to
optimize epistemic model checking, in which one verifies that a model for a
number of agents operating with imperfect information satisfies a formula
expressed in a modal multi-agent logic of knowledge. The optimization has been
implemented in... | 1 | 0 | 0 | 0 | 0 | 0 |
Quickest Localization of Anomalies in Power Grids: A Stochastic Graphical Framework | Agile localization of anomalous events plays a pivotal role in enhancing the
overall reliability of the grid and avoiding cascading failures. This is
especially of paramount significance in the large-scale grids due to their
geographical expansions and the large volume of data generated. This paper
proposes a stochas... | 1 | 0 | 0 | 1 | 0 | 0 |
The trouble with tensor ring decompositions | The tensor train decomposition decomposes a tensor into a "train" of 3-way
tensors that are interconnected through the summation of auxiliary indices. The
decomposition is stable, has a well-defined notion of rank and enables the user
to perform various linear algebra operations on vectors and matrices of
exponential... | 1 | 0 | 0 | 0 | 0 | 0 |
Direct Measurement of Kramers Turnover with a Levitated Nanoparticle | Understanding the thermally activated escape from a metastable state is at
the heart of important phenomena such as the folding dynamics of proteins, the
kinetics of chemical reactions or the stability of mechanical systems. In 1940
Kramers calculated escape rates both in the high damping and the low damping
regime a... | 0 | 1 | 0 | 0 | 0 | 0 |
An estimator for the tail-index of graphex processes | Sparse exchangeable graphs resolve some pathologies in traditional random
graph models, notably, providing models that are both projective and allow
sparsity. In a recent paper, Caron and Rousseau (2017) show that for a large
class of sparse exchangeable models, the sparsity behaviour is governed by a
single paramete... | 0 | 0 | 1 | 1 | 0 | 0 |
General tête-à-tête graphs and Seifert manifolds | Tête-à-tête graphs and relative tête-à-tête graphs were
introduced by N. A'Campo in 2010 to model monodromies of isolated plane curves.
By recent workof Fdez de Bobadilla, Pe Pereira and the author, they provide a
way of modeling the periodic mapping classes that leave some boundary component
invariant. In this work ... | 0 | 0 | 1 | 0 | 0 | 0 |
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