abstract stringlengths 42 2.09k |
|---|
We define the random magnetic Laplacien with spatial white noise as magnetic
field on the two-dimensional torus using paracontrolled calculus. It yields a
random self-adjoint operator with pure point spectrum and domain a random
subspace of nonsmooth functions in L 2. We give sharp bounds on the eigenvalues
which imp... |
Searches for gravitational-wave counterparts have been going in earnest since
GW170817 and the discovery of AT2017gfo. Since then, the lack of detection of
other optical counterparts connected to binary neutron star or black hole -
neutron star candidates has highlighted the need for a better discrimination
criterion... |
Fully implicit Runge-Kutta (IRK) methods have many desirable properties as
time integration schemes in terms of accuracy and stability, but high-order IRK
methods are not commonly used in practice with numerical PDEs due to the
difficulty of solving the stage equations. This paper introduces a theoretical
and algorit... |
To successfully negotiate a deal, it is not enough to communicate fluently:
pragmatic planning of persuasive negotiation strategies is essential. While
modern dialogue agents excel at generating fluent sentences, they still lack
pragmatic grounding and cannot reason strategically. We present DialoGraph, a
negotiation... |
We propose a systematic analysis method for identifying essential parameters
in various linear and nonlinear response tensors without which they vanish. By
using the Keldysh formalism and the Chebyshev polynomial expansion method, the
response tensors are decomposed into the model-independent and dependent parts,
in ... |
It is a long-standing objective to ease the computation burden incurred by
the decision making process. Identification of this mechanism's sensitivity to
simplification has tremendous ramifications. Yet, algorithms for decision
making under uncertainty usually lean on approximations or heuristics without
quantifying ... |
For the development of successful share trading strategies, forecasting the
course of action of the stock market index is important. Effective prediction
of closing stock prices could guarantee investors attractive benefits. Machine
learning algorithms have the ability to process and forecast almost reliable
closing ... |
Ensuring the privacy of research participants is vital, even more so in
healthcare environments. Deep learning approaches to neuroimaging require large
datasets, and this often necessitates sharing data between multiple sites,
which is antithetical to the privacy objectives. Federated learning is a
commonly proposed ... |
An intrinsic antiferromagnetic topological insulator $\mathrm{MnBi_2Te_4}$
can be realized by intercalating Mn-Te bilayer chain in a topological
insulator, $\mathrm{Bi_2Te_3}$. $\mathrm{MnBi_2Te_4}$ provides not only a
stable platform to demonstrate exotic physical phenomena, but also easy
tunability of the physical ... |
We propose a strategy for optimizing a sensor trajectory in order to estimate
the time dependence of a localized scalar source in turbulent channel flow. The
approach leverages the view of the adjoint scalar field as the sensitivity of
measurement to a possible source. A cost functional is constructed so that the
opt... |
Gamma distributed delay differential equations (DDEs) arise naturally in many
modelling applications. However, appropriate numerical methods for generic
Gamma distributed DDEs are not currently available. Accordingly, modellers
often resort to approximating the gamma distribution with an Erlang
distribution and using... |
Markov state models (MSMs) have been broadly adopted for analyzing molecular
dynamics trajectories, but the approximate nature of the models that results
from coarse-graining into discrete states is a long-known limitation. We show
theoretically that, despite the coarse graining, in principle MSM-like analysis
can yi... |
The phase field paradigm, in combination with a suitable variational
structure, has opened a path for using Griffith's energy balance to predict the
fracture of solids. These so-called phase field fracture methods have gained
significant popularity over the past decade, and are now part of commercial
finite element p... |
The convergence property of a stochastic algorithm for the self-consistent
field (SCF) calculations of electron structures is studied. The algorithm is
formulated by rewriting the electron charges as a trace/diagonal of a matrix
function, which is subsequently expressed as a statistical average. The
function is furth... |
Multiple organ failure (MOF) is a severe syndrome with a high mortality rate
among Intensive Care Unit (ICU) patients. Early and precise detection is
critical for clinicians to make timely decisions. An essential challenge in
applying machine learning models to electronic health records (EHRs) is the
pervasiveness of... |
Instrumental systematics need to be controlled to high precision for upcoming
Cosmic Microwave Background (CMB) experiments. The level of contamination
caused by these systematics is often linked to the scan strategy, and scan
strategies for satellite experiments can significantly mitigate these
systematics. However,... |
Integer quantization of neural networks can be defined as the approximation
of the high precision computation of the canonical neural network formulation,
using reduced integer precision. It plays a significant role in the efficient
deployment and execution of machine learning (ML) systems, reducing memory
consumptio... |
Let ${\mathfrak M}=({\mathcal M},\rho)$ be a metric space and let $X$ be a
Banach space. Let $F$ be a set-valued mapping from ${\mathcal M}$ into the
family ${\mathcal K}_m(X)$ of all compact convex subsets of $X$ of dimension at
most $m$. The main result in our recent joint paper with Charles Fefferman
(which is ref... |
Purpose: Quantitative magnetization transfer (qMT) imaging can be used to
quantify the proportion of protons in a voxel attached to macromolecules. Here,
we show that the original qMT balanced steady-state free precession (bSSFP)
model is biased due to over-simplistic assumptions made in its derivation.
Theory and Me... |
We construct a categorical framework for nonlinear postquantum inference,
with embeddings of convex closed sets of suitable reflexive Banach spaces as
objects and pullbacks of Br\`egman quasi-nonexpansive mappings (in particular,
constrained maximisations of Br\`egman relative entropies) as morphisms. It
provides a n... |
Garc\'ia-Aguilar et al. [Phys. Rev. Lett 126, 038001 (2021)] have shown that
the deformations of "shape-shifting droplets" are consistent with an elastic
model, that, unlike previous models, includes the intrinsic curvature of the
frozen surfactant layer. In this Comment, we show that the interplay between
surface te... |
We propose a novel scheme for the exact renormalisation group motivated by
the desire of reducing the complexity of practical computations. The key idea
is to specify renormalisation conditions for all inessential couplings, leaving
us with the task of computing only the flow of the essential ones. To achieve
this ai... |
Amorphous dielectric materials have been known to host two-level systems
(TLSs) for more than four decades. Recent developments on superconducting
resonators and qubits enable detailed studies on the physics of TLSs. In
particular, measuring the loss of a device over long time periods (a few days)
allows us to invest... |
Learning from implicit user feedback is challenging as we can only observe
positive samples but never access negative ones. Most conventional methods cope
with this issue by adopting a pairwise ranking approach with negative sampling.
However, the pairwise ranking approach has a severe disadvantage in the
convergence... |
Full Duplex (FD) radio has emerged as a promising solution to increase the
data rates by up to a factor of two via simultaneous transmission and reception
in the same frequency band. This paper studies a novel hybrid beamforming
(HYBF) design to maximize the weighted sum-rate (WSR) in a single-cell
millimeter wave (m... |
We study the influence of running vacuum on the baryon-to-photon ratio in
running vacuum models (RVMs). When there exists a non-minimal coupling between
photons and other matter in the expanding universe, the energy-momentum tensor
of photons is no longer conserved, but the energy of photons could remain
conserved. W... |
To extract liver from medical images is a challenging task due to similar
intensity values of liver with adjacent organs, various contrast levels,
various noise associated with medical images and irregular shape of liver. To
address these issues, it is important to preprocess the medical images, i.e.,
computerized to... |
The Robot Operating System 2 (ROS2) targets distributed real-time systems and
is widely used in the robotics community. Especially in these systems, latency
in data processing and communication can lead to instabilities. Though being
highly configurable with respect to latency, ROS2 is often used with its
default set... |
We study a long-recognised but under-appreciated symmetry called "dynamical
similarity" and illustrate its relevance to many important conceptual problems
in fundamental physics. Dynamical similarities are general transformations of a
system where the unit of Hamilton's principal function is rescaled, and
therefore r... |
State-space models (SSM) with Markov switching offer a powerful framework for
detecting multiple regimes in time series, analyzing mutual dependence and
dynamics within regimes, and asserting transitions between regimes. These
models however present considerable computational challenges due to the
exponential number ... |
An increasing amount of location-based service (LBS) data is being
accumulated and helps to study urban dynamics and human mobility. GPS
coordinates and other location indicators are normally low dimensional and only
representing spatial proximity, thus difficult to be effectively utilized by
machine learning models ... |
The Earth's magnetotail is characterized by stretched magnetic field lines.
Energetic particles are effectively scattered due to the field-line curvature,
which then leads to isotropization of energetic particle distributions and
particle precipitation to the Earth's atmosphere. Measurements of these
precipitation at... |
Since the heavy neutrinos of the inverse seesaw mechanism mix largely with
the standard ones, the charged currents formed with them and the muons have the
potential of generating robust and positive contribution to the anomalous
magnetic moment of the muon. Ho\-we\-ver, bounds from the non-unitary in the
leptonic mix... |
Using an argument of Baldwin--Hu--Sivek, we prove that if $K$ is a hyperbolic
fibered knot with fiber $F$ in a closed, oriented $3$--manifold $Y$, and
$\widehat{HFK}(Y,K,[F], g(F)-1)$ has rank $1$, then the monodromy of $K$ is
freely isotopic to a pseudo-Anosov map with no fixed points. In particular,
this shows that... |
The object of Weakly-supervised Temporal Action Localization (WS-TAL) is to
localize all action instances in an untrimmed video with only video-level
supervision. Due to the lack of frame-level annotations during training,
current WS-TAL methods rely on attention mechanisms to localize the foreground
snippets or fram... |
Intrinsic Image Decomposition is an open problem of generating the
constituents of an image. Generating reflectance and shading from a single
image is a challenging task specifically when there is no ground truth. There
is a lack of unsupervised learning approaches for decomposing an image into
reflectance and shadin... |
We consider the barotropic Navier-Stokes system describing the motion of a
compressible viscous fluid confined to a bounded domain driven by time periodic
inflow/outflow boundary conditions. We show that the problem admits a time
periodic solution in the class of weak solutions satisfying the energy
inequality.
|
Understanding the features learned by deep models is important from a model
trust perspective, especially as deep systems are deployed in the real world.
Most recent approaches for deep feature understanding or model explanation
focus on highlighting input data features that are relevant for classification
decisions.... |
An automorphism of a rooted spherically homogeneous tree is settled if it
satisfies certain conditions on the growth of cycles at finite levels of the
tree. In this paper, we consider a conjecture by Boston and Jones that the
image of an arboreal representation of the absolute Galois group of a number
field in the au... |
Open quantum systems exhibit a rich phenomenology, in comparison to closed
quantum systems that evolve unitarily according to the Schr\"odinger equation.
The dynamics of an open quantum system are typically classified into Markovian
and non-Markovian, depending on whether the dynamics can be decomposed into
valid qua... |
People hope automated driving technology is always in a stable and
controllable state; specifically, it can be divided into controllable planning,
controllable responsibility, and controllable information. When this
controllability is undermined, it brings about the problems, e.g., trolley
dilemma, responsibility att... |
In a recent paper with J.-P. Nicolas [J.-P. Nicolas and P.T. Xuan, Annales
Henri Poincare 2019], we studied the peeling for scalar fields on Kerr metrics.
The present work extends these results to Dirac fields on the same geometrical
background. We follow the approach initiated by L.J. Mason and J.-P. Nicolas
[L. Mas... |
Two-dimensional (2D) hybrid organic-inorganic perovskites (HOIPs) are
introducing new directions in the 2D materials landscape. The coexistence of
ferroelectricity and spin-orbit interactions play a key role in their
optoelectronic properties. We perform a detailed study on a recently
synthesized ferroelectric 2D-HOI... |
This paper presents a supervised learning method to generate continuous
cost-to-go functions of non-holonomic systems directly from the workspace
description. Supervision from informative examples reduces training time and
improves network performance. The manifold representing the optimal
trajectories of a non-holon... |
We investigate the structure of the meson Regge trajectories based on the
quadratic form of the spinless Salpeter-type equation. It is found that the
forms of the Regge trajectories depend on the energy region. As the employed
Regge trajectory formula does not match the energy region, the fitted
parameters neither ha... |
Higgs-portal effective field theories are widely used as benchmarks in order
to interpret collider and astroparticle searches for dark matter (DM)
particles. To assess the validity of these effective models, it is important to
confront them to concrete realizations that are complete in the ultraviolet
regime. In this... |
We present geometric Bayesian active learning by disagreements (GBALD), a
framework that performs BALD on its core-set construction interacting with
model uncertainty estimation. Technically, GBALD constructs core-set on
ellipsoid, not typical sphere, preventing low-representative elements from
spherical boundaries. ... |
Facial Expression Recognition(FER) is one of the most important topic in
Human-Computer interactions(HCI). In this work we report details and
experimental results about a facial expression recognition method based on
state-of-the-art methods. We fine-tuned a SeNet deep learning architecture
pre-trained on the well-kn... |
In this paper we compute the Newton polytope $\mathcal M_A$ of the Morse
discriminant in the space of univariate polynomials with the given support set
$A.$ Namely, we establish a surjection between the set of all combinatorial
types of Morse univariate tropical polynomials and the vertices of $\mathcal
M_A.$
|
Breast cancer is the most common invasive cancer in women, and the second
main cause of death. Breast cancer screening is an efficient method to detect
indeterminate breast lesions early. The common approaches of screening for
women are tomosynthesis and mammography images. However, the traditional manual
diagnosis r... |
We have studied experimentally the generation of vortex flow by gravity waves
with a frequency of 2.34 Hz excited on the water surface at an angle $2 \theta
= arctan(3/4) \approx 36\deg$ to each other. The resulting horizontal surface
flow has a stripe-like spatial structure. The width of the stripes L =
$\pi$/(2ksin... |
We investigate the impact of photochemical hazes and disequilibrium gases on
the thermal structure of hot-Jupiters, using a detailed 1-D
radiative-convective model. We find that the inclusion of photochemical hazes
results in major heating of the upper and cooling of the lower atmosphere.
Sulphur containing species, ... |
We compare the macroscopic and the local plastic behavior of a model
amorphous solid based on two radically different numerical descriptions. On the
one hand, we simulate glass samples by atomistic simulations. On the other, we
implement a mesoscale elasto-plastic model based on a solid-mechanics
description. The lat... |
This paper expounds very innovative results achieved between the mid-14th
century and the beginning of the 16th century by Indian astronomers belonging
to the so-called "M\=adhava school". These results were in keeping with
researches in trigonometry: they concern the calculation of the eight of the
circumference of ... |
Radio relics are the manifestation of electrons presumably being shock
(re-)accelerated to high energies in the outskirts of galaxy clusters. However,
estimates of the shocks' strength yield different results when measured with
radio or X-ray observations. In general, Mach numbers obtained from radio
observations are... |
In this paper, we present a sharp analysis for an alternating gradient
descent algorithm which is used to solve the covariate adjusted precision
matrix estimation problem in the high dimensional setting. Without the
resampling assumption, we demonstrate that this algorithm not only enjoys a
linear rate of convergence... |
FISTA is a popular convex optimisation algorithm which is known to converge
at an optimal rate whenever the optimisation domain is contained in a suitable
Hilbert space. We propose a modified algorithm where each iteration is
performed in a subspace, and that subspace is allowed to change at every
iteration. Analytic... |
When two identical two-dimensional (2D) periodic lattices are stacked in
parallel after rotating one layer by a certain angle relative to the other
layer, the resulting bilayer system can lose lattice periodicity completely and
become a 2D quasicrystal. Twisted bilayer graphene with 30-degree rotation is a
representa... |
In this paper, we delve into semi-supervised object detection where unlabeled
images are leveraged to break through the upper bound of fully-supervised
object detection models. Previous semi-supervised methods based on pseudo
labels are severely degenerated by noise and prone to overfit to noisy labels,
thus are defi... |
This paper theoretically investigates the following empirical phenomenon:
given a high-complexity network with poor generalization bounds, one can
distill it into a network with nearly identical predictions but low complexity
and vastly smaller generalization bounds. The main contribution is an analysis
showing that ... |
Distributed networks and real-time systems are becoming the most important
components for the new computer age, the Internet of Things (IoT), with huge
data streams or data sets generated from sensors and data generated from
existing legacy systems. The data generated offers the ability to measure,
infer and understa... |
Morphological Segmentation involves decomposing words into morphemes, the
smallest meaning-bearing units of language. This is an important NLP task for
morphologically-rich agglutinative languages such as the Southern African Nguni
language group. In this paper, we investigate supervised and unsupervised
models for t... |
We propose and study a new mathematical model of the human immunodeficiency
virus (HIV). The main novelty is to consider that the antibody growth depends
not only on the virus and on the antibodies concentration but also on the
uninfected cells concentration. The model consists of five nonlinear
differential equation... |
We use high quality VLT/MUSE data to study the kinematics and the ionized gas
properties of Haro 11, a well known starburst merger system and the closest
confirmed Lyman continuum leaking galaxy. We present results from integrated
line maps, and from maps in three velocity bins comprising the blueshifted,
systemic an... |
We demonstrate a method that merges the quantum filter diagonalization (QFD)
approach for hybrid quantum/classical solution of the time-independent
electronic Schr\"odinger equation with a low-rank double factorization (DF)
approach for the representation of the electronic Hamiltonian. In particular,
we explore the u... |
The Android operating system is the most spread mobile platform in the world.
Therefor attackers are producing an incredible number of malware applications
for Android. Our aim is to detect Android's malware in order to protect the
user. To do so really good results are obtained by dynamic analysis of
software, but i... |
This thesis is concerned with continuous, static, and single-objective
optimization problems subject to inequality constraints. Nevertheless, some
methods to handle other kinds of problems are briefly reviewed. The particle
swarm optimization paradigm was inspired by previous simulations of the
cooperative behaviour ... |
In recent years, human activity recognition has garnered considerable
attention both in industrial and academic research because of the wide
deployment of sensors, such as accelerometers and gyroscopes, in products such
as smartphones and smartwatches. Activity recognition is currently applied in
various fields where... |
A space-time Trefftz discontinuous Galerkin method for the Schr\"odinger
equation with piecewise-constant potential is proposed and analyzed. Following
the spirit of Trefftz methods, trial and test spaces are spanned by
non-polynomial complex wave functions that satisfy the Schro\"odinger equation
locally on each ele... |
We demonstrate the use of multiple atomic-level Rydberg-atom schemes for
continuous frequency detection of radio frequency (RF) fields. Resonant
detection of RF fields by electromagnetically-induced transparency and
Autler-Townes (AT) in Rydberg atoms is typically limited to frequencies within
the narrow bandwidth of... |
We study the space of $C^1$ isogeometric spline functions defined on
trilinearly parameterized multi-patch volumes. Amongst others, we present a
general framework for the design of the $C^1$ isogeometric spline space and of
an associated basis, which is based on the two-patch construction [7], and
which works uniform... |
Recently, higher-order topological matter and 3D quantum Hall effects have
attracted great attention. The Fermi-arc mechanism of the 3D quantum Hall
effect proposed in Weyl semimetals is characterized by the one-sided hinge
states, which do not exist in all the previous quantum Hall systems and more
importantly pose ... |
When two spherical particles submerged in a viscous fluid are subjected to an
oscillatory flow, they align themselves perpendicular to the direction of the
flow leaving a small gap between them. The formation of this compact structure
is attributed to a non-zero residual flow known as steady streaming. We have
perfor... |
We present a new model to describe the star formation process in galaxies,
which includes the description of the different gas phases -- molecular,
atomic, and ionized -- together with its metal content. The model, which will
be coupled to cosmological simulations of galaxy formation, will be used to
investigate the ... |
The development of lightweight object detectors is essential due to the
limited computation resources. To reduce the computation cost, how to generate
redundant features plays a significant role. This paper proposes a new
lightweight Convolution method Cross-Stage Lightweight (CSL) Module, to
generate redundant featu... |
The dispersion of a tracer in a fluid flow is influenced by the Lagrangian
motion of fluid elements. Even in laminar regimes, the irregular chaotic
behavior of a fluid flow can lead to effective stirring that rapidly
redistributes a tracer throughout the domain. When the advected particles
possess a finite size and n... |
We explore the ability of overparameterized shallow neural networks to learn
Lipschitz regression functions with and without label noise when trained by
Gradient Descent (GD). To avoid the problem that in the presence of noisy
labels, neural networks trained to nearly zero training error are inconsistent
on this clas... |
Pretrained language models have significantly improved the performance of
down-stream language understanding tasks, including extractive question
answering, by providing high-quality contextualized word embeddings. However,
learning question answering models still need large-scaled data annotation in
specific domains... |
Enterprise knowledge is a key asset in the competing and fast-changing
corporate landscape. The ability to learn, store and distribute implicit and
explicit knowledge can be the difference between success and failure. While
enterprise knowledge management is a well-defined research domain, current
implementations lac... |
Recently, Doroudiani and Karimipour [Phys. Rev. A \textbf{102} 012427(2020)]
proposed the notation of planar maximally entangled (PME) states which are a
wider class of multipartite entangled states than absolutely maximally
entangled (AME) states. There they presented their constructions in the
multipartite systems ... |
We construct exact solutions to the Einstein-Maxwell theory with uplifting
the four dimensional Fubini-Study Kahler manifold. We find the solutions can be
expressed exactly as the integrals of two special functions. The solutions are
regular almost everywhere except a bolt structure on a single point in any
dimension... |
The introduction of an optical resonator can enable efficient and precise
interaction between a photon and a solid-state emitter. It facilitates the
study of strong light-matter interaction, polaritonic physics and presents a
powerful interface for quantum communication and computing. A pivotal aspect in
the progress... |
We determine the dark matter pair-wise relative velocity distribution in a
set of Milky Way-like halos in the Auriga and APOSTLE simulations. Focusing on
the smooth halo component, the relative velocity distribution is well-described
by a Maxwell-Boltzmann distribution over nearly all radii in the halo. We
explore th... |
In this essay, we qualitatively demonstrate how small non-perturbative
corrections are a necessary addition to semiclassical gravity's path integral.
We use this to discuss implications for Hawking's information paradox and the
bags of gold paradox.
|
We report Keck-NIRSPEC observations of the Brackett $\alpha$ 4.05 $\mu$m
recombination line across the two candidate embedded super star clusters (SSCs)
in NGC 1569. These SSCs power a bright HII region and have been previously
detected as radio and mid-infrared sources. Supplemented with high resolution
VLA mapping ... |
Machine learning has brought striking advances in multilingual natural
language processing capabilities over the past year. For example, the latest
techniques have improved the state-of-the-art performance on the XTREME
multilingual benchmark by more than 13 points. While a sizeable gap to
human-level performance rem... |
This paper presents a state-of-the-art LiDAR based autonomous navigation
system for under-canopy agricultural robots. Under-canopy agricultural
navigation has been a challenging problem because GNSS and other positioning
sensors are prone to significant errors due to attentuation and multi-path
caused by crop leaves ... |
Drone imagery is increasingly used in automated inspection for infrastructure
surface defects, especially in hazardous or unreachable environments. In
machine vision, the key to crack detection rests with robust and accurate
algorithms for image processing. To this end, this paper proposes a deep
learning approach us... |
We present a framework for simulating realistic inverse synthetic aperture
radar images of automotive targets at millimeter wave frequencies. The model
incorporates radar scattering phenomenology of commonly found vehicles along
with range-Doppler based clutter and receiver noise. These images provide
insights into t... |
There are two cases when the nonlinear Schr\"odinger equation (NLSE) with an
external complex potential is well-known to support continuous families of
localized stationary modes: the ${\cal PT}$-symmetric potentials and the Wadati
potentials. Recently Y. Kominis and coauthors [Chaos, Solitons and Fractals,
118, 222-... |
Many recent experimental ultrafast spectroscopy studies have hinted at
non-adiabatic dynamics indicating the existence of conical intersections, but
their direct observation remains a challenge. The rapid change of the energy
gap between the electronic states complicated their observation by requiring
bandwidths of s... |
Robots performing tasks in warehouses provide the first example of
wide-spread adoption of autonomous vehicles in transportation and logistics.
The efficiency of these operations, which can vary widely in practice, are a
key factor in the success of supply chains. In this work we consider the
problem of coordinating ... |
Following the tremendous success of transformer in natural language
processing and image understanding tasks, in this paper, we present a novel
point cloud representation learning architecture, named Dual Transformer
Network (DTNet), which mainly consists of Dual Point Cloud Transformer (DPCT)
module. Specifically, b... |
We give two proofs to an old result of E. Salehi, showing that the Weyl
subalgebra $\mathcal{W}$ of $\ell^\infty(\mathbb{Z})$ is a proper subalgebra of
$\mathcal{D}$, the algebra of distal functions. We also show that the family
$\mathcal{S}^d$ of strictly ergodic functions in $\mathcal{D}$ does not form an
algebra a... |
We study extensions of the Election Isomorphism problem, focused on the
existence of isomorphic subelections. Specifically, we propose the Subelection
Isomorphism and the Maximum Common Subelection problems and study their
computational complexity and approximability. Using our problems in
experiments, we provide som... |
The High Altitude Water Cherenkov (HAWC) observatory and the High Energy
Stereoscopic System (H.E.S.S.) are two leading instruments in the ground-based
very-high-energy gamma-ray domain. HAWC employs the water Cherenkov detection
(WCD) technique, while H.E.S.S. is an array of Imaging Atmospheric Cherenkov
Telescopes ... |
Cactus networks were introduced by Lam as a generalization of planar
electrical networks. He defined a map from these networks to the Grassmannian
Gr($n+1,2n$) and showed that the image of this map, $\mathcal X_n$ lies inside
the totally nonnegative part of this Grassmannian. In this paper, we show that
$\mathcal X_n... |
We propose a new method for accelerating the computation of a concurrency
relation, that is all pairs of places in a Petri net that can be marked
together. Our approach relies on a state space abstraction, that involves a mix
between structural reductions and linear algebra, and a new data-structure that
is specifica... |
Ethics is sometimes considered to be too abstract to be meaningfully
implemented in artificial intelligence (AI). In this paper, we reflect on other
aspects of computing that were previously considered to be very abstract. Yet,
these are now accepted as being done very well by computers. These tasks have
ranged from ... |
In this paper, we investigate the decentralized statistical inference
problem, where a network of agents cooperatively recover a (structured) vector
from private noisy samples without centralized coordination. Existing
optimization-based algorithms suffer from issues of model mismatch and poor
convergence speed, and ... |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 17