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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A Consistent Bayesian Formulation for Stochastic Inverse Problems Based on Push-forward Measures | We formulate, and present a numerical method for solving, an inverse problem
for inferring parameters of a deterministic model from stochastic observational
data (quantities of interest). The solution, given as a probability measure, is
derived using a Bayesian updating approach for measurable maps that finds a
poste... | 0 | 0 | 1 | 1 | 0 | 0 |
Coherent State Mapping Ring-Polymer Molecular Dynamics for Non-Adiabatic quantum propagations | We introduce the coherent state mapping ring-polymer molecular dynamics
(CS-RPMD), a new method that accurately describes electronic non-adiabatic
dynamics with explicit nuclear quantization. This new approach is derived by
using coherent state mapping representation for the electronic degrees of
freedom (DOF) and th... | 0 | 1 | 0 | 0 | 0 | 0 |
Stochastic Gradient Descent in Continuous Time: A Central Limit Theorem | Stochastic gradient descent in continuous time (SGDCT) provides a
computationally efficient method for the statistical learning of
continuous-time models, which are widely used in science, engineering, and
finance. The SGDCT algorithm follows a (noisy) descent direction along a
continuous stream of data. The paramete... | 0 | 0 | 1 | 1 | 0 | 0 |
KMS states on $C^*$-algebras associated to a family of $*$-commuting local homeomorphisms | We consider a family of $*$-commuting local homeomorphisms on a compact
space, and build a compactly aligned product system of Hilbert bimodules (in
the sense of Fowler). This product system has a Nica-Toeplitz algebra and a
Cuntz-Pimsner algebra. Both algebras carry a gauge action of a
higher-dimensional torus, and ... | 0 | 0 | 1 | 0 | 0 | 0 |
Multi-Labelled Value Networks for Computer Go | This paper proposes a new approach to a novel value network architecture for
the game Go, called a multi-labelled (ML) value network. In the ML value
network, different values (win rates) are trained simultaneously for different
settings of komi, a compensation given to balance the initiative of playing
first. The ML... | 1 | 0 | 0 | 0 | 0 | 0 |
Lifting high-dimensional nonlinear models with Gaussian regressors | We study the problem of recovering a structured signal $\mathbf{x}_0$ from
high-dimensional data $\mathbf{y}_i=f(\mathbf{a}_i^T\mathbf{x}_0)$ for some
nonlinear (and potentially unknown) link function $f$, when the regressors
$\mathbf{a}_i$ are iid Gaussian. Brillinger (1982) showed that ordinary
least-squares estima... | 0 | 0 | 0 | 1 | 0 | 0 |
Functional Conceptual Substratum as a New Cognitive Mechanism for Mathematical Creation | We describe a new cognitive ability, i.e., functional conceptual substratum,
used implicitly in the generation of several mathematical proofs and
definitions. Furthermore, we present an initial (first-order) formalization of
this mechanism together with its relation to classic notions like primitive
positive definabi... | 0 | 0 | 1 | 0 | 0 | 0 |
Applying Gromov's Amenable Localization to Geodesic Flows | Let $M$ be a compact connected smooth Riemannian $n$-manifold with boundary.
We combine Gromov's amenable localization technique with the Poincaré
duality to study the traversally generic geodesic flows on $SM$, the space of
the spherical tangent bundle. Such flows generate stratifications of $SM$,
governed by rich u... | 0 | 0 | 1 | 0 | 0 | 0 |
Modeling the Ellsberg Paradox by Argument Strength | We present a formal measure of argument strength, which combines the ideas
that conclusions of strong arguments are (i) highly probable and (ii) their
uncertainty is relatively precise. Likewise, arguments are weak when their
conclusion probability is low or when it is highly imprecise. We show how the
proposed measu... | 1 | 0 | 1 | 0 | 0 | 0 |
Correction to the paper "Some remarks on Davie's uniqueness theorem" | The property 4 in Proposition 2.3 from the paper "Some remarks on Davie's
uniqueness theorem" is replaced with a weaker assertion which is sufficient for
the proof of the main results. Technical details and improvements are given.
| 0 | 0 | 1 | 0 | 0 | 0 |
An Estimation and Analysis Framework for the Rasch Model | The Rasch model is widely used for item response analysis in applications
ranging from recommender systems to psychology, education, and finance. While a
number of estimators have been proposed for the Rasch model over the last
decades, the available analytical performance guarantees are mostly asymptotic.
This paper... | 0 | 0 | 0 | 1 | 0 | 0 |
Do planets remember how they formed? | One of the most directly observable features of a transiting multi-planet
system is their size-ordering when ranked in orbital separation. Kepler has
revealed a rich diversity of outcomes, from perfectly ordered systems, like
Kepler-80, to ostensibly disordered systems, like Kepler-20. Under the
hypothesis that syste... | 0 | 1 | 0 | 0 | 0 | 0 |
Demarcating circulation regimes of synchronously rotating terrestrial planets within the habitable zone | We investigate the atmospheric dynamics of terrestrial planets in synchronous
rotation within the habitable zone of low-mass stars using the Community
Atmosphere Model (CAM). The surface temperature contrast between day and night
hemispheres decreases with an increase in incident stellar flux, which is
opposite the t... | 0 | 1 | 0 | 0 | 0 | 0 |
Versatile Large-Area Custom-Feature van der Waals Epitaxy of Topological Insulators | As the focus of applied research in topological insulators (TI) evolves, the
need to synthesize large-area TI films for practical device applications takes
center stage. However, constructing scalable and adaptable processes for
high-quality TI compounds remains a challenge. To this end, a versatile van der
Waals epi... | 0 | 1 | 0 | 0 | 0 | 0 |
Sharp off-diagonal weighted norm estimates for the Bergman projection | We prove that for $1<p\le q<\infty$, $qp\geq {p'}^2$ or $p'q'\geq q^2$,
$\frac{1}{p}+\frac{1}{p'}=\frac{1}{q}+\frac{1}{q'}=1$, $$\|\omega
P_\alpha(f)\|_{L^p(\mathcal{H},y^{\alpha+(2+\alpha)(\frac{q}{p}-1)}dxdy)}\le
C_{p,q,\alpha}[\omega]_{B_{p,q,\alpha}}^{(\frac{1}{p'}+\frac{1}{q})\max\{1,\frac{p'}{q}\}}\|\omega
f\|_... | 0 | 0 | 1 | 0 | 0 | 0 |
An Automated Scalable Framework for Distributing Radio Astronomy Processing Across Clusters and Clouds | The Low Frequency Array (LOFAR) radio telescope is an international aperture
synthesis radio telescope used to study the Universe at low frequencies. One of
the goals of the LOFAR telescope is to conduct deep wide-field surveys. Here we
will discuss a framework for the processing of the LOFAR Two Meter Sky Survey
(Lo... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning multiple visual domains with residual adapters | There is a growing interest in learning data representations that work well
for many different types of problems and data. In this paper, we look in
particular at the task of learning a single visual representation that can be
successfully utilized in the analysis of very different types of images, from
dog breeds to... | 1 | 0 | 0 | 1 | 0 | 0 |
Cosmic quantum optical probing of quantum gravity through a gravitational lensLens | We consider the nonunitary quantum dynamics of neutral massless scalar
particles used to model photons around a massive gravitational lens. The
gravitational interaction between the lensing mass and asymptotically free
particles is described by their second-quantized scattering wavefunctions.
Remarkably, the zero-poi... | 0 | 1 | 0 | 0 | 0 | 0 |
Combinatorial Miller-Hagberg Algorithm for Randomization of Dense Networks | We propose a slightly revised Miller-Hagberg (MH) algorithm that efficiently
generates a random network from a given expected degree sequence. The revision
was to replace the approximated edge probability between a pair of nodes with a
combinatorically calculated edge probability that better captures the
likelihood o... | 1 | 0 | 0 | 0 | 0 | 0 |
Topological Insulators in Random Lattices | Our understanding of topological insulators is based on an underlying
crystalline lattice where the local electronic degrees of freedom at different
sites hybridize with each other in ways that produce nontrivial band topology,
and the search for material systems to realize such phases have been strongly
influenced b... | 0 | 1 | 0 | 0 | 0 | 0 |
DiGrad: Multi-Task Reinforcement Learning with Shared Actions | Most reinforcement learning algorithms are inefficient for learning multiple
tasks in complex robotic systems, where different tasks share a set of actions.
In such environments a compound policy may be learnt with shared neural network
parameters, which performs multiple tasks concurrently. However such compound
pol... | 1 | 0 | 0 | 1 | 0 | 0 |
Narratives of Quantum Theory in the Age of Quantum Technologies | Quantum technologies can be presented to the public with or without
introducing a strange trait of quantum theory responsible for their
non-classical efficiency. Traditionally the message was centered on the
superposition principle, while entanglement and properties such as
contextuality have been gaining ground rece... | 0 | 1 | 0 | 0 | 0 | 0 |
Is Information in the Brain Represented in Continuous or Discrete Form? | The question of continuous-versus-discrete information representation in the
brain is a fundamental yet unresolved physiological question. Historically,
most analyses assume a continuous representation without considering the
alternative possibility of a discrete representation. Our work explores the
plausibility of ... | 0 | 0 | 0 | 0 | 1 | 0 |
Real-Time Background Subtraction Using Adaptive Sampling and Cascade of Gaussians | Background-Foreground classification is a fundamental well-studied problem in
computer vision. Due to the pixel-wise nature of modeling and processing in the
algorithm, it is usually difficult to satisfy real-time constraints. There is a
trade-off between the speed (because of model complexity) and accuracy.
Inspired... | 1 | 0 | 0 | 1 | 0 | 0 |
Multilevel nested simulation for efficient risk estimation | We investigate the problem of computing a nested expectation of the form
$\mathbb{P}[\mathbb{E}[X|Y]
\!\geq\!0]\!=\!\mathbb{E}[\textrm{H}(\mathbb{E}[X|Y])]$ where $\textrm{H}$ is
the Heaviside function. This nested expectation appears, for example, when
estimating the probability of a large loss from a financial port... | 0 | 0 | 0 | 0 | 0 | 1 |
Construction of a relativistic Ornstein-Uhlenbeck process | Based on a version of Dudley's Wiener process on the mass shell in the
momentum Minkowski space of a massive point particle, a model of a relativistic
Ornstein--Uhlenbeck process is constructed by addition of a specific drift
term. The invariant distribution of this momentum process as well as other
associated proces... | 0 | 0 | 1 | 0 | 0 | 0 |
Safe Trajectory Synthesis for Autonomous Driving in Unforeseen Environments | Path planning for autonomous vehicles in arbitrary environments requires a
guarantee of safety, but this can be impractical to ensure in real-time when
the vehicle is described with a high-fidelity model. To address this problem,
this paper develops a method to perform trajectory design by considering a
low-fidelity ... | 1 | 0 | 0 | 0 | 0 | 0 |
A Data and Model-Parallel, Distributed and Scalable Framework for Training of Deep Networks in Apache Spark | Training deep networks is expensive and time-consuming with the training
period increasing with data size and growth in model parameters. In this paper,
we provide a framework for distributed training of deep networks over a cluster
of CPUs in Apache Spark. The framework implements both Data Parallelism and
Model Par... | 1 | 0 | 0 | 1 | 0 | 0 |
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website | The electroencephalogram (EEG) provides a non-invasive, minimally
restrictive, and relatively low cost measure of mesoscale brain dynamics with
high temporal resolution. Although signals recorded in parallel by multiple,
near-adjacent EEG scalp electrode channels are highly-correlated and combine
signals from many di... | 1 | 0 | 0 | 1 | 0 | 0 |
Inference on a New Class of Sample Average Treatment Effects | We derive new variance formulas for inference on a general class of estimands
of causal average treatment effects in a Randomized Control Trial (RCT). We
generalize Robins (1988) and show that when the estimand of interest is the
Sample Average Treatment Effect of the Treated (SATT or SATC for controls), a
consistent... | 0 | 0 | 1 | 1 | 0 | 0 |
A split step Fourier/discontinuous Galerkin scheme for the Kadomtsev--Petviashvili equation | In this paper we propose a method to solve the Kadomtsev--Petviashvili
equation based on splitting the linear part of the equation from the nonlinear
part. The linear part is treated using FFTs, while the nonlinear part is
approximated using a semi-Lagrangian discontinuous Galerkin approach of
arbitrary order.
We dem... | 0 | 1 | 1 | 0 | 0 | 0 |
Dense Transformer Networks | The key idea of current deep learning methods for dense prediction is to
apply a model on a regular patch centered on each pixel to make pixel-wise
predictions. These methods are limited in the sense that the patches are
determined by network architecture instead of learned from data. In this work,
we propose the den... | 1 | 0 | 0 | 1 | 0 | 0 |
Tetragonal CH3NH3PbI3 Is Ferroelectric | Halide perovskite (HaP) semiconductors are revolutionizing photovoltaic (PV)
solar energy conversion by showing remarkable performance of solar cells made
with esp. tetragonal methylammonium lead tri-iodide (MAPbI3). In particular,
the low voltage loss of these cells implies a remarkably low recombination rate
of pho... | 0 | 1 | 0 | 0 | 0 | 0 |
A Simple and Efficient MapReduce Algorithm for Data Cube Materialization | Data cube materialization is a classical database operator introduced in Gray
et al.~(Data Mining and Knowledge Discovery, Vol.~1), which is critical for
many analysis tasks. Nandi et al.~(Transactions on Knowledge and Data
Engineering, Vol.~6) first studied cube materialization for large scale
datasets using the Map... | 1 | 0 | 0 | 0 | 0 | 0 |
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations | The success of deep convolutional architectures is often attributed in part
to their ability to learn multiscale and invariant representations of natural
signals. However, a precise study of these properties and how they affect
learning guarantees is still missing. In this paper, we consider deep
convolutional repres... | 1 | 0 | 0 | 1 | 0 | 0 |
Completion of High Order Tensor Data with Missing Entries via Tensor-train Decomposition | In this paper, we aim at the completion problem of high order tensor data
with missing entries. The existing tensor factorization and completion methods
suffer from the curse of dimensionality when the order of tensor N>>3. To
overcome this problem, we propose an efficient algorithm called TT-WOPT
(Tensor-train Weigh... | 1 | 0 | 0 | 0 | 0 | 0 |
On the inner products of some Deligne--Lusztig type representations | In this paper we introduce a family of Deligne--Lusztig type varieties
attached to connected reductive groups over quotients of discrete valuation
rings, naturally generalising the higher Deligne--Lusztig varieties and some
constructions related to the algebraisation problem raised by Lusztig. We
establish the inner ... | 0 | 0 | 1 | 0 | 0 | 0 |
An invariant for embedded Fano manifolds covered by linear spaces | For an embedded Fano manifold $X$, we introduce a new invariant $S_X$ related
to the dimension of covering linear spaces. The aim of this paper is to
classify Fano manifolds $X$ which have large $S_X$.
| 0 | 0 | 1 | 0 | 0 | 0 |
Delivery Latency Trade-Offs of Heterogeneous Contents in Fog Radio Access Networks | A Fog Radio Access Network (F-RAN) is a cellular wireless system that enables
content delivery via the caching of popular content at edge nodes (ENs) and
cloud processing. The existing information-theoretic analyses of F-RAN systems,
and special cases thereof, make the assumption that all requests should be
guarantee... | 1 | 0 | 0 | 0 | 0 | 0 |
Leaking Uninitialized Secure Enclave Memory via Structure Padding (Extended Abstract) | Intel software guard extensions (SGX) aims to provide an isolated execution
environment, known as an enclave, for a user-level process to maximize its
confidentiality and integrity. In this paper, we study how uninitialized data
inside a secure enclave can be leaked via structure padding. We found that,
during ECALL ... | 1 | 0 | 0 | 0 | 0 | 0 |
Asymptotic and numerical analysis of a stochastic PDE model of volume transmission | Volume transmission is an important neural communication pathway in which
neurons in one brain region influence the neurotransmitter concentration in the
extracellular space of a distant brain region. In this paper, we apply
asymptotic analysis to a stochastic partial differential equation model of
volume transmissio... | 0 | 0 | 0 | 0 | 1 | 0 |
Mixtures of Hidden Truncation Hyperbolic Factor Analyzers | The mixture of factor analyzers model was first introduced over 20 years ago
and, in the meantime, has been extended to several non-Gaussian analogues. In
general, these analogues account for situations with heavy tailed and/or skewed
clusters. An approach is introduced that unifies many of these approaches into
one ... | 0 | 0 | 0 | 1 | 0 | 0 |
Representations on Partially Holomorphic Cohomology Spaces, Revisited | This is a semi--expository update and rewrite of my 1974 AMS AMS Memoir
describing Plancherel formulae and partial Dolbeault cohomology realizations
for standard tempered representations for general real reductive Lie groups.
Even after so many years, much of that Memoir is up to date, but of course
there have been a... | 0 | 0 | 1 | 0 | 0 | 0 |
Underground tests of quantum mechanics. Whispers in the cosmic silence? | By performing X-rays measurements in the "cosmic silence" of the underground
laboratory of Gran Sasso, LNGS-INFN, we test a basic principle of quantum
mechanics: the Pauli Exclusion Principle (PEP), for electrons. We present the
achieved results of the VIP experiment and the ongoing VIP2 measurement aiming
to gain tw... | 0 | 1 | 0 | 0 | 0 | 0 |
Implications for Post-Processing Nucleosynthesis of Core-Collapse Supernova Models with Lagrangian Particles | We investigate core-collapse supernova (CCSN) nucleosynthesis with
self-consistent, axisymmetric (2D) simulations performed using the
radiation-hydrodynamics code Chimera. Computational costs have traditionally
constrained the evolution of the nuclear composition within multidimensional
CCSN models to, at best, a 14-... | 0 | 1 | 0 | 0 | 0 | 0 |
High Performance Parallel Image Reconstruction for New Vacuum Solar Telescope | Many technologies have been developed to help improve spatial resolution of
observational images for ground-based solar telescopes, such as adaptive optics
(AO) systems and post-processing reconstruction. As any AO system correction is
only partial, it is indispensable to use post-processing reconstruction
techniques... | 0 | 1 | 0 | 0 | 0 | 0 |
Approximation of Bandwidth for the Interactive Operation in Video on Demand System | An interactive session of video-on-demand (VOD) streaming procedure deserves
smooth data transportation for the viewer, irrespective of their geographic
location. To access the required video, bandwidth management during the video
objects transportation at any interactive session is a mandatory prerequisite.
It has b... | 1 | 0 | 0 | 0 | 0 | 0 |
Twisted Recurrence via Polynomial Walks | In this paper we show how polynomial walks can be used to establish a twisted
recurrence for sets of positive density in $\mathbb{Z}^d$. In particular, we
prove that if $\Gamma \leq \operatorname{GL}_d(\mathbb{Z})$ is finitely
generated by unipotents and acts irreducibly on $\mathbb{R}^d$, then for any
set $B \subset... | 0 | 0 | 1 | 0 | 0 | 0 |
Well-posedness and scattering for the Boltzmann equations: Soft potential with cut-off | We prove the global existence of the unique mild solution for the Cauchy
problem of the cut-off Boltzmann equation for soft potential model $\gamma=2-N$
with initial data small in $L^N_{x,v}$ where $N=2,3$ is the dimension. The
proof relies on the existing inhomogeneous Strichartz estimates for the kinetic
equation b... | 0 | 0 | 1 | 0 | 0 | 0 |
Wikipedia in academia as a teaching tool: from averse to proactive faculty profiles | This study concerned the active use of Wikipedia as a teaching tool in the
classroom in higher education, trying to identify different usage profiles and
their characterization. A questionnaire survey was administrated to all
full-time and part-time teachers at the Universitat Oberta de Catalunya and the
Universitat ... | 1 | 0 | 0 | 0 | 0 | 0 |
A trans-disciplinary review of deep learning research for water resources scientists | Deep learning (DL), a new-generation of artificial neural network research,
has transformed industries, daily lives and various scientific disciplines in
recent years. DL represents significant progress in the ability of neural
networks to automatically engineer problem-relevant features and capture highly
complex da... | 1 | 0 | 0 | 1 | 0 | 0 |
A new NS3 Implementation of CCNx 1.0 Protocol | The ccns3Sim project is an open source implementation of the CCNx 1.0
protocols for the NS3 simulator. We describe the implementation and several
important features including modularity and process delay simulation. The
ccns3Sim implementation is a fresh NS3-specific implementation. Like NS3
itself, it uses C++98 sta... | 1 | 0 | 0 | 0 | 0 | 0 |
MultiRefactor: Automated Refactoring To Improve Software Quality | In this paper, a new approach is proposed for automated software maintenance.
The tool is able to perform 26 different refactorings. It also contains a large
selection of metrics to measure the impact of the refactorings on the software
and six different search based optimization algorithms to improve the software.
T... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning Postural Synergies for Categorical Grasping through Shape Space Registration | Every time a person encounters an object with a given degree of familiarity,
he/she immediately knows how to grasp it. Adaptation of the movement of the
hand according to the object geometry happens effortlessly because of the
accumulated knowledge of previous experiences grasping similar objects. In this
paper, we p... | 1 | 0 | 0 | 0 | 0 | 0 |
Perturbations of self-adjoint operators in semifinite von Neumann algebras: Kato-Rosenblum theorem | In the paper, we prove an analogue of the Kato-Rosenblum theorem in a
semifinite von Neumann algebra. Let $\mathcal{M}$ be a countably decomposable,
properly infinite, semifinite von Neumann algebra acting on a Hilbert space
$\mathcal{H}$ and let $\tau$ be a faithful normal semifinite tracial weight of
$\mathcal M$. ... | 0 | 0 | 1 | 0 | 0 | 0 |
Dust radiative transfer modelling of the infrared ring around the magnetar SGR 1900$+$14 | A peculiar infrared ring-like structure was discovered by {\em Spitzer}
around the strongly magnetised neutron star SGR 1900$+$14. This infrared
structure was suggested to be due to a dust-free cavity, produced by the SGR
Giant Flare occurred in 1998, and kept illuminated by surrounding stars. Using
a 3D dust radiati... | 0 | 1 | 0 | 0 | 0 | 0 |
Application of transfer matrix and transfer function analysis to grating-type dielectric laser accelerators: ponderomotive focusing of electrons | The question of suitability of transfer matrix description of electrons
traversing grating-type dielectric laser acceleration (DLA) structures is
addressed. It is shown that although matrix considerations lead to interesting
insights, the basic transfer properties of DLA cells cannot be described by a
matrix. A more ... | 0 | 1 | 0 | 0 | 0 | 0 |
Discretization-free Knowledge Gradient Methods for Bayesian Optimization | This paper studies Bayesian ranking and selection (R&S) problems with
correlated prior beliefs and continuous domains, i.e. Bayesian optimization
(BO). Knowledge gradient methods [Frazier et al., 2008, 2009] have been widely
studied for discrete R&S problems, which sample the one-step Bayes-optimal
point. When used o... | 1 | 0 | 1 | 1 | 0 | 0 |
Measuring the Robustness of Graph Properties | In this paper, we propose a perturbation framework to measure the robustness
of graph properties. Although there are already perturbation methods proposed
to tackle this problem, they are limited by the fact that the strength of the
perturbation cannot be well controlled. We firstly provide a perturbation
framework o... | 1 | 0 | 0 | 1 | 0 | 0 |
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers | This paper claims that a new field of empirical software engineering research
and practice is emerging: data mining using/used-by optimizers for empirical
studies, or DUO. For example, data miners can generate the models that are
explored by optimizers.Also, optimizers can advise how to best adjust the
control parame... | 1 | 0 | 0 | 0 | 0 | 0 |
Lesion detection and Grading of Diabetic Retinopathy via Two-stages Deep Convolutional Neural Networks | We propose an automatic diabetic retinopathy (DR) analysis algorithm based on
two-stages deep convolutional neural networks (DCNN). Compared to existing
DCNN-based DR detection methods, the proposed algorithm have the following
advantages: (1) Our method can point out the location and type of lesions in
the fundus im... | 1 | 0 | 0 | 0 | 0 | 0 |
DRYVR:Data-driven verification and compositional reasoning for automotive systems | We present the DRYVR framework for verifying hybrid control systems that are
described by a combination of a black-box simulator for trajectories and a
white-box transition graph specifying mode switches. The framework includes (a)
a probabilistic algorithm for learning sensitivity of the continuous
trajectories from... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Reinforcement Learning for Programming Language Correction | Novice programmers often struggle with the formal syntax of programming
languages. To assist them, we design a novel programming language correction
framework amenable to reinforcement learning. The framework allows an agent to
mimic human actions for text navigation and editing. We demonstrate that the
agent can be ... | 1 | 0 | 0 | 0 | 0 | 0 |
Dispersionless and multicomponent BKP hierarchies with quantum torus symmetries | In this article, we will construct the additional perturbative quantum torus
symmetry of the dispersionless BKP hierarchy basing on the $W_{\infty}$
infinite dimensional Lie symmetry. These results show that the complete quantum
torus symmetry is broken from the BKP hierarchy to its dispersionless
hierarchy. Further ... | 0 | 1 | 1 | 0 | 0 | 0 |
A Sampling Framework for Solving Physics-driven Inverse Source Problems | Partial differential equations are central to describing many physical
phenomena. In many applications these phenomena are observed through a sensor
network, with the aim of inferring their underlying properties. Leveraging from
certain results in sampling and approximation theory, we present a new
framework for solv... | 1 | 0 | 1 | 0 | 0 | 0 |
An Application of $h$-principle to Manifold Calculus | Manifold calculus is a form of functor calculus that analyzes contravariant
functors from some categories of manifolds to topological spaces by providing
analytic approximations to them. In this paper we apply the theory of
h-principle to construct several examples of analytic functors in this sense.
We prove that th... | 0 | 0 | 1 | 0 | 0 | 0 |
Grasping Unknown Objects in Clutter by Superquadric Representation | In this paper, a quick and efficient method is presented for grasping unknown
objects in clutter. The grasping method relies on real-time superquadric (SQ)
representation of partial view objects and incomplete object modelling, well
suited for unknown symmetric objects in cluttered scenarios which is followed
by opti... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning to Play with Intrinsically-Motivated Self-Aware Agents | Infants are experts at playing, with an amazing ability to generate novel
structured behaviors in unstructured environments that lack clear extrinsic
reward signals. We seek to mathematically formalize these abilities using a
neural network that implements curiosity-driven intrinsic motivation. Using a
simple but eco... | 0 | 0 | 0 | 1 | 0 | 0 |
$\ell_1$-minimization method for link flow correction | A computational method, based on $\ell_1$-minimization, is proposed for the
problem of link flow correction, when the available traffic flow data on many
links in a road network are inconsistent with respect to the flow conservation
law. Without extra information, the problem is generally ill-posed when a large
porti... | 1 | 1 | 0 | 0 | 0 | 0 |
Current Flow Group Closeness Centrality for Complex Networks | Current flow closeness centrality (CFCC) has a better discriminating ability
than the ordinary closeness centrality based on shortest paths. In this paper,
we extend this notion to a group of vertices in a weighted graph, and then
study the problem of finding a subset $S$ of $k$ vertices to maximize its CFCC
$C(S)$, ... | 1 | 0 | 0 | 0 | 0 | 0 |
Visualization of Constraint Handling Rules: Semantics and Applications | The work in the paper presents an animation extension ($CHR^{vis}$) to
Constraint Handling Rules (CHR). Visualizations have always helped programmers
understand data and debug programs. A picture is worth a thousand words. It can
help identify where a problem is or show how something works. It can even
illustrate a r... | 1 | 0 | 0 | 0 | 0 | 0 |
Simplified Energy Landscape for Modularity Using Total Variation | Networks capture pairwise interactions between entities and are frequently
used in applications such as social networks, food networks, and protein
interaction networks, to name a few. Communities, cohesive groups of nodes,
often form in these applications, and identifying them gives insight into the
overall organiza... | 0 | 0 | 1 | 1 | 0 | 0 |
A Hard Look at the Neutron Stars and Accretion Disks in 4U 1636-53, GX 17+2, and 4U 1705-44 with $\emph{NuSTAR}$ | We present $\emph{NuSTAR}$ observations of neutron star (NS) low-mass X-ray
binaries: 4U 1636-53, GX 17+2, and 4U 1705-44. We observed 4U 1636-53 in the
hard state, with an Eddington fraction, $F_{\mathrm{Edd}}$, of 0.01; GX 17+2
and 4U 1705-44 were in the soft state with fractions of 0.57 and 0.10,
respectively. Eac... | 0 | 1 | 0 | 0 | 0 | 0 |
Approximating Weighted Duo-Preservation in Comparative Genomics | Motivated by comparative genomics, Chen et al. [9] introduced the Maximum
Duo-preservation String Mapping (MDSM) problem in which we are given two
strings $s_1$ and $s_2$ from the same alphabet and the goal is to find a
mapping $\pi$ between them so as to maximize the number of duos preserved. A
duo is any two consec... | 1 | 0 | 0 | 0 | 0 | 0 |
On the virtual singular braid monoid | We study the algebraic structures of the virtual singular braid monoid,
$VSB_n$, and the virtual singular pure braid monoid, $VSP_n$. The monoid
$VSB_n$ is the splittable extension of $VSP_n$ by the symmetric group $S_n$. We
also construct a representation of $VSB_n$.
| 0 | 0 | 1 | 0 | 0 | 0 |
Discrete Games in Endogenous Networks: Equilibria and Policy | In games of friendship links and behaviors, I propose $k$-player Nash
stability---a family of equilibria, indexed by a measure of robustness given by
the number of permitted link changes, which is (ordinally and cardinally)
ranked in a probabilistic sense. Application of the proposed framework to
adolescents' tobacco... | 1 | 1 | 0 | 0 | 0 | 0 |
Evaluating regulatory reform of network industries: a survey of empirical models based on categorical proxies | Proxies for regulatory reforms based on categorical variables are
increasingly used in empirical evaluation models. We surveyed 63 studies that
rely on such indices to analyze the effects of entry liberalization,
privatization, unbundling, and independent regulation of the electricity,
natural gas, and telecommunicat... | 0 | 0 | 0 | 0 | 0 | 1 |
Theory of ground states for classical Heisenberg spin systems II | We apply the theory of ground states for classical, finite, Heisenberg spin
systems previously published to a couple of spin systems that can be considered
as finite models $K_{12},\,K_{15}$ and $K_{18}$ of the AF Kagome lattice. The
model $K_{12}$ is isomorphic to the cuboctahedron. In particular, we find
three-dime... | 0 | 1 | 0 | 0 | 0 | 0 |
Relative Property (T) for Nilpotent Subgroups | We show that relative Property (T) for the abelianization of a nilpotent
normal subgroup implies relative Property (T) for the subgroup itself. This and
other results are a consequence of a theorem of independent interest, which
states that if $H$ is a closed subgroup of a locally compact group $G$, and $A$
is a clos... | 0 | 0 | 1 | 0 | 0 | 0 |
Discriminant analysis in small and large dimensions | We study the distributional properties of the linear discriminant function
under the assumption of normality by comparing two groups with the same
covariance matrix but different mean vectors. A stochastic representation for
the discriminant function coefficients is derived which is then used to obtain
their asymptot... | 0 | 0 | 1 | 1 | 0 | 0 |
Sparse Bayesian Inference for Dense Semantic Mapping | Despite impressive advances in simultaneous localization and mapping, dense
robotic mapping remains challenging due to its inherent nature of being a
high-dimensional inference problem. In this paper, we propose a dense semantic
robotic mapping technique that exploits sparse Bayesian models, in particular,
the releva... | 1 | 0 | 0 | 0 | 0 | 0 |
Singularities and Semistable Degenerations for Symplectic Topology | We overview our recent work defining and studying normal crossings varieties
and subvarieties in symplectic topology. This work answers a question of Gromov
on the feasibility of introducing singular (sub)varieties into symplectic
topology in the case of normal crossings singularities. It also provides a
necessary an... | 0 | 0 | 1 | 0 | 0 | 0 |
One-step Local M-estimator for Integrated Jump-Diffusion Models | In this paper, robust nonparametric estimators, instead of local linear
estimators, are adapted for infinitesimal coefficients associated with
integrated jump-diffusion models to avoid the impact of outliers on accuracy.
Furthermore, consider the complexity of iteration of the solution for local
M-estimator, we propo... | 0 | 0 | 1 | 1 | 0 | 0 |
Python Open Source Waveform Extractor (POWER): An open source, Python package to monitor and post-process numerical relativity simulations | Numerical simulations of Einstein's field equations provide unique insights
into the physics of compact objects moving at relativistic speeds, and which
are driven by strong gravitational interactions. Numerical relativity has
played a key role to firmly establish gravitational wave astrophysics as a new
field of res... | 1 | 1 | 0 | 0 | 0 | 0 |
Uniform confidence bands for nonparametric errors-in-variables regression | This paper develops a method to construct uniform confidence bands for a
nonparametric regression function where a predictor variable is subject to a
measurement error. We allow for the distribution of the measurement error to be
unknown, but assume that there is an independent sample from the measurement
error distr... | 0 | 0 | 1 | 1 | 0 | 0 |
Unconventional superconductivity in the BiS$_2$-based layered superconductor NdO$_{0.71}$F$_{0.29}$BiS$_2$ | We investigate the superconducting-gap anisotropy in one of the recently
discovered BiS$_2$-based superconductors, NdO$_{0.71}$F$_{0.29}$BiS$_2$ ($T_c$
$\sim$ 5 K), using laser-based angle-resolved photoemission spectroscopy.
Whereas the previously discovered high-$T_c$ superconductors such as copper
oxides and iron-... | 0 | 1 | 0 | 0 | 0 | 0 |
Low noise sensitivity analysis of Lq-minimization in oversampled systems | The class of Lq-regularized least squares (LQLS) are considered for
estimating a p-dimensional vector \b{eta} from its n noisy linear observations
y = X\b{eta}+w. The performance of these schemes are studied under the
high-dimensional asymptotic setting in which p grows linearly with n. In this
asymptotic setting, ph... | 0 | 0 | 1 | 1 | 0 | 0 |
Robust Transceiver Design Based on Interference Alignment for Multi-User Multi-Cell MIMO Networks with Channel Uncertainty | In this paper, we firstly exploit the inter-user interference (IUI) and
inter-cell interference (ICI) as useful references to develop a robust
transceiver design based on interference alignment for a downlink multi-user
multi-cell multiple-input multiple-output (MIMO) interference network under
channel estimation err... | 1 | 0 | 0 | 0 | 0 | 0 |
Machine learning quantum mechanics: solving quantum mechanics problems using radial basis function networks | Inspired by the recent work of Carleo and Troyer[1], we apply machine
learning methods to quantum mechanics in this article. The radial basis
function network in a discrete basis is used as the variational wavefunction
for the ground state of a quantum system. Variational Monte Carlo(VMC)
calculations are carried out... | 0 | 1 | 0 | 0 | 0 | 0 |
Scale-free networks are rare | A central claim in modern network science is that real-world networks are
typically "scale free," meaning that the fraction of nodes with degree $k$
follows a power law, decaying like $k^{-\alpha}$, often with $2 < \alpha < 3$.
However, empirical evidence for this belief derives from a relatively small
number of real... | 1 | 0 | 0 | 1 | 1 | 0 |
Enlargeability, foliations, and positive scalar curvature | We extend the deep and important results of Lichnerowicz, Connes, and
Gromov-Lawson which relate geometry and characteristic numbers to the existence
and non-existence of metrics of positive scalar curvature (PSC). In particular,
we show: that a spin foliation with Hausdorff homotopy groupoid of an
enlargeable manifo... | 0 | 0 | 1 | 0 | 0 | 0 |
A simple mathematical model for unemployment: a case study in Portugal with optimal control | We propose a simple mathematical model for unemployment. Despite its
simpleness, we claim that the model is more realistic and useful than recent
models available in the literature. A case study with real data from Portugal
supports our claim. An optimal control problem is formulated and solved, which
provides some n... | 0 | 0 | 0 | 0 | 0 | 1 |
Interpreting Deep Neural Networks Through Variable Importance | While the success of deep neural networks (DNNs) is well-established across a
variety of domains, our ability to explain and interpret these methods is
limited. Unlike previously proposed local methods which try to explain
particular classification decisions, we focus on global interpretability and
ask a universally ... | 1 | 0 | 0 | 1 | 0 | 0 |
Conformality of $1/N$ corrections in SYK-like models | The Sachdev-Ye--Kitaev is a quantum mechanical model of $N$ Majorana fermions
which displays a number of appealing features -- solvability in the strong
coupling regime, near-conformal invariance and maximal chaos -- which make it a
suitable model for black holes in the context of the AdS/CFT holography. In
this pape... | 0 | 1 | 0 | 0 | 0 | 0 |
Segal-type models of higher categories | Higher category theory is an exceedingly active area of research, whose rapid
growth has been driven by its penetration into a diverse range of scientific
fields. Its influence extends through key mathematical disciplines, notably
homotopy theory, algebraic geometry and algebra, mathematical physics, to
encompass imp... | 0 | 0 | 1 | 0 | 0 | 0 |
Low-Mass Dark Matter Search with CDMSlite | The SuperCDMS experiment is designed to directly detect weakly interacting
massive particles (WIMPs) that may constitute the dark matter in our Galaxy.
During its operation at the Soudan Underground Laboratory, germanium detectors
were run in the CDMSlite mode to gather data sets with sensitivity specifically
for WIM... | 0 | 1 | 0 | 0 | 0 | 0 |
Gravity with free initial conditions: a solution to the cosmological constant problem testable by CMB B-mode polarization | In standard general relativity the universe cannot be started with arbitrary
initial conditions, because four of the ten components of the Einstein's field
equations (EFE) are constraints on initial conditions. In the previous work it
was proposed to extend the gravity theory to allow free initial conditions,
with a ... | 0 | 1 | 0 | 0 | 0 | 0 |
Gradual Learning of Recurrent Neural Networks | Recurrent Neural Networks (RNNs) achieve state-of-the-art results in many
sequence-to-sequence modeling tasks. However, RNNs are difficult to train and
tend to suffer from overfitting. Motivated by the Data Processing Inequality
(DPI), we formulate the multi-layered network as a Markov chain, introducing a
training m... | 1 | 0 | 0 | 1 | 0 | 0 |
Borel subsets of the real line and continuous reducibility | We study classes of Borel subsets of the real line $\mathbb{R}$ such as
levels of the Borel hierarchy and the class of sets that are reducible to the
set $\mathbb{Q}$ of rationals, endowed with the Wadge quasi-order of
reducibility with respect to continuous functions on $\mathbb{R}$. Notably, we
explore several stru... | 0 | 0 | 1 | 0 | 0 | 0 |
Pairing from dynamically screened Coulomb repulsion in bismuth | Recently, Prakash et. al. have discovered bulk superconductivity in single
crystals of bismuth, which is a semi metal with extremely low carrier density.
At such low density, we argue that conventional electron-phonon coupling is too
weak to be responsible for the binding of electrons into Cooper pairs. We study
a dy... | 0 | 1 | 0 | 0 | 0 | 0 |
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