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 |
|---|---|---|---|---|---|---|---|
Morphology of PbTe crystal surface sputtered by argon plasma under Secondary Neutral Mass Spectrometry conditions | We have investigated morphology of the lateral surfaces of PbTe crystal
samples grown from melt by the Bridgman method sputtered by Ar+ plasma with ion
energy of 50-550 eV for 5-50 minutes under Secondary Neutral Mass Spectrometry
(SNMS) conditions. The sputtered PbTe crystal surface was found to be
simultaneously bo... | 0 | 1 | 0 | 0 | 0 | 0 |
Indefinite Integrals of Spherical Bessel Functions | Highly oscillatory integrals, such as those involving Bessel functions, are
best evaluated analytically as much as possible, as numerical errors can be
difficult to control. We investigate indefinite integrals involving monomials
in $x$ multiplying one or two spherical Bessel functions of the first kind
$j_l(x)$ with... | 0 | 0 | 1 | 0 | 0 | 0 |
Proceedings 14th International Workshop on the ACL2 Theorem Prover and its Applications | This volume contains the proceedings of the Fourteenth International Workshop
on the ACL2 Theorem Prover and Its Applications, ACL2 2017, a two-day workshop
held in Austin, Texas, USA, on May 22-23, 2017. ACL2 workshops occur at
approximately 18-month intervals, and they provide a technical forum for
researchers to p... | 1 | 0 | 0 | 0 | 0 | 0 |
Mean Field Stochastic Games with Binary Action Spaces and Monotone Costs | This paper considers mean field games in a multi-agent Markov decision
process (MDP) framework. Each player has a continuum state and binary action.
By active control, a player can bring its state to a resetting point. All
players are coupled through their cost functions. The structural property of
the individual str... | 0 | 0 | 1 | 0 | 0 | 0 |
Heterogeneous Cellular Networks with LoS and NLoS Transmissions--The Role of Massive MIMO and Small Cells | We develop a framework for downlink heterogeneous cellular networks with
line-of-sight (LoS) and non-line-of-sight (NLoS) transmissions. Using
stochastic geometry, we derive tight approximation of achievable downlink rate
that enables us to compare the performance between densifying small cells and
expanding BS anten... | 1 | 0 | 1 | 0 | 0 | 0 |
Gould's Belt: Local Large Scale Structure in the Milky Way | Gould's Belt is a flat local system composed of young OB stars, molecular
clouds and neutral hydrogen within 500 pc from the Sun. It is inclined about 20
degrees to the galactic plane and its velocity field significantly deviates
from rotation around the distant center of the Milky Way. We discuss possible
models of ... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning with Correntropy-induced Losses for Regression with Mixture of Symmetric Stable Noise | In recent years, correntropy and its applications in machine learning have
been drawing continuous attention owing to its merits in dealing with
non-Gaussian noise and outliers. However, theoretical understanding of
correntropy, especially in the statistical learning context, is still limited.
In this study, within t... | 0 | 0 | 0 | 1 | 0 | 0 |
The Suppression and Promotion of Magnetic Flux Emergence in Fully Convective Stars | Evidence of surface magnetism is now observed on an increasing number of cool
stars. The detailed manner by which dynamo-generated magnetic fields giving
rise to starspots traverse the convection zone still remains unclear. Some
insight into this flux emergence mechanism has been gained by assuming bundles
of magneti... | 0 | 1 | 0 | 0 | 0 | 0 |
Opportunistic Content Delivery in Fading Broadcast Channels | We consider content delivery over fading broadcast channels. A server wants
to transmit K files to K users, each equipped with a cache of finite size.
Using the coded caching scheme of Maddah-Ali and Niesen, we design an
opportunistic delivery scheme where the long-term sum content delivery rate
scales with K the num... | 1 | 0 | 0 | 0 | 0 | 0 |
Conservation Laws With Random and Deterministic Data | The dynamics of nonlinear conservation laws have long posed fascinating
problems. With the introduction of some nonlinearity, e.g. Burgers' equation,
discontinuous behavior in the solutions is exhibited, even for smooth initial
data. The introduction of randomness in any of several forms into the initial
condition ma... | 0 | 0 | 1 | 0 | 0 | 0 |
Theoretical study of HfF$^+$ cation to search for the T,P-odd interactions | The combined all-electron and two-step approach is applied to calculate the
molecular parameters which are required to interpret the ongoing experiment to
search for the effects of manifestation of the T,P-odd fundamental interactions
in the HfF$^+$ cation by Cornell/Ye group [Science 342, 1220 (2013); J. Mol.
Spectr... | 0 | 1 | 0 | 0 | 0 | 0 |
Adaptive Information Gathering via Imitation Learning | In the adaptive information gathering problem, a policy is required to select
an informative sensing location using the history of measurements acquired thus
far. While there is an extensive amount of prior work investigating effective
practical approximations using variants of Shannon's entropy, the efficacy of
such... | 1 | 0 | 0 | 0 | 0 | 0 |
Demonstration of dispersive rarefaction shocks in hollow elliptical cylinder chains | We report an experimental and numerical demonstration of dispersive
rarefaction shocks (DRS) in a 3D-printed soft chain of hollow elliptical
cylinders. We find that, in contrast to conventional nonlinear waves, these DRS
have their lower amplitude components travel faster, while the higher amplitude
ones propagate sl... | 0 | 1 | 0 | 0 | 0 | 0 |
Gaussian Process Regression for Arctic Coastal Erosion Forecasting | Arctic coastal morphology is governed by multiple factors, many of which are
affected by climatological changes. As the season length for shorefast ice
decreases and temperatures warm permafrost soils, coastlines are more
susceptible to erosion from storm waves. Such coastal erosion is a concern,
since the majority o... | 0 | 1 | 0 | 1 | 0 | 0 |
Calibration for Stratified Classification Models | In classification problems, sampling bias between training data and testing
data is critical to the ranking performance of classification scores. Such bias
can be both unintentionally introduced by data collection and intentionally
introduced by the algorithm, such as under-sampling or weighting techniques
applied to... | 1 | 0 | 0 | 1 | 0 | 0 |
Two classes of fast-declining type Ia supernovae | Fast-declining Type Ia supernovae (SN Ia) separate into two categories based
on their bolometric and near-infrared (NIR) properties. The peak bolometric
luminosity ($\mathrm{L_{max}}$), the phase of the first maximum relative to the
optical, the NIR peak luminosity and the occurrence of a second maximum in the
NIR di... | 0 | 1 | 0 | 0 | 0 | 0 |
What Sets the Radial Locations of Warm Debris Disks? | The architectures of debris disks encode the history of planet formation in
these systems. Studies of debris disks via their spectral energy distributions
(SEDs) have found infrared excesses arising from cold dust, warm dust, or a
combination of the two. The cold outer belts of many systems have been imaged,
facilita... | 0 | 1 | 0 | 0 | 0 | 0 |
Nonlinear Modulational Instability of Dispersive PDE Models | We prove nonlinear modulational instability for both periodic and localized
perturbations of periodic traveling waves for several dispersive PDEs,
including the KDV type equations (e.g. the Whitham equation, the generalized
KDV equation, the Benjamin-Ono equation), the nonlinear Schrödinger equation
and the BBM equat... | 0 | 0 | 1 | 0 | 0 | 0 |
Unsupervised Learning of Disentangled Representations from Video | We present a new model DrNET that learns disentangled image representations
from video. Our approach leverages the temporal coherence of video and a novel
adversarial loss to learn a representation that factorizes each frame into a
stationary part and a temporally varying component. The disentangled
representation ca... | 1 | 0 | 0 | 1 | 0 | 0 |
Control of Ultracold Photodissociation with Magnetic Fields | Photodissociation of a molecule produces a spatial distribution of
photofragments determined by the molecular structure and the characteristics of
the dissociating light. Performing this basic chemical reaction at ultracold
temperatures allows its quantum mechanical features to dominate. In this
regime, weak applied ... | 0 | 1 | 0 | 0 | 0 | 0 |
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets | A new generative adversarial network is developed for joint distribution
matching. Distinct from most existing approaches, that only learn conditional
distributions, the proposed model aims to learn a joint distribution of
multiple random variables (domains). This is achieved by learning to sample
from conditional di... | 0 | 0 | 0 | 1 | 0 | 0 |
A lightweight MapReduce framework for secure processing with SGX | MapReduce is a programming model used extensively for parallel data
processing in distributed environments. A wide range of algorithms were
implemented using MapReduce, from simple tasks like sorting and searching up to
complex clustering and machine learning operations. Many of these
implementations are part of serv... | 1 | 0 | 0 | 0 | 0 | 0 |
Formation of wide-orbit gas giants near the stability limit in multi-stellar systems | We have investigated the formation of a circumstellar wide-orbit gas giant
planet in a multiple stellar system. We consider a model of orbital
circularization for the core of a giant planet after it is scattered from an
inner disk region by a more massive planet, which was proposed by Kikuchi et al
(2014). We extend ... | 0 | 1 | 0 | 0 | 0 | 0 |
Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint | Symmetric nonnegative matrix factorization has found abundant applications in
various domains by providing a symmetric low-rank decomposition of nonnegative
matrices. In this paper we propose a Frank-Wolfe (FW) solver to optimize the
symmetric nonnegative matrix factorization problem under a simplicial
constraint, wh... | 1 | 0 | 1 | 1 | 0 | 0 |
A Fourier Disparity Layer representation for Light Fields | In this paper, we present a new Light Field representation for efficient
Light Field processing and rendering called Fourier Disparity Layers (FDL). The
proposed FDL representation samples the Light Field in the depth (or
equivalently the disparity) dimension by decomposing the scene as a discrete
sum of layers. The ... | 1 | 0 | 0 | 0 | 0 | 0 |
Narrating Networks | Networks have become the de facto diagram of the Big Data age (try searching
Google Images for [big data AND visualisation] and see). The concept of
networks has become central to many fields of human inquiry and is said to
revolutionise everything from medicine to markets to military intelligence.
While the mathemat... | 1 | 0 | 0 | 0 | 0 | 0 |
Policy Evaluation and Optimization with Continuous Treatments | We study the problem of policy evaluation and learning from batched
contextual bandit data when treatments are continuous, going beyond previous
work on discrete treatments. Previous work for discrete treatment/action spaces
focuses on inverse probability weighting (IPW) and doubly robust (DR) methods
that use a reje... | 0 | 0 | 0 | 1 | 0 | 0 |
Geometry of Factored Nuclear Norm Regularization | This work investigates the geometry of a nonconvex reformulation of
minimizing a general convex loss function $f(X)$ regularized by the matrix
nuclear norm $\|X\|_*$. Nuclear-norm regularized matrix inverse problems are at
the heart of many applications in machine learning, signal processing, and
control. The statist... | 1 | 0 | 1 | 0 | 0 | 0 |
Effect of Scrape-Off-Layer Current on Reconstructed Tokamak Equilibrium | Methods are described that extend fields from reconstructed equilibria to
include scrape-off-layer current through extrapolated parametrized and
experimental fits. The extrapolation includes both the effects of the
toroidal-field and pressure gradients which produce scrape-off-layer current
after recomputation of the... | 0 | 1 | 0 | 0 | 0 | 0 |
Holomorphy of Osborn loops | Let $(L,\cdot)$ be any loop and let $A(L)$ be a group of automorphisms of
$(L,\cdot)$ such that $\alpha$ and $\phi$ are elements of $A(L)$. It is shown
that, for all $x,y,z\in L$, the $A(L)$-holomorph $(H,\circ)=H(L)$ of
$(L,\cdot)$ is an Osborn loop if and only if $x\alpha (yz\cdot x\phi^{-1})=
x\alpha (yx^\lambda\c... | 0 | 0 | 1 | 0 | 0 | 0 |
A Multi-Objective Learning to re-Rank Approach to Optimize Online Marketplaces for Multiple Stakeholders | Multi-objective recommender systems address the difficult task of
recommending items that are relevant to multiple, possibly conflicting,
criteria. However these systems are most often designed to address the
objective of one single stakeholder, typically, in online commerce, the
consumers whose input and purchasing ... | 1 | 0 | 0 | 0 | 0 | 0 |
Interactive Discovery System for Direct Democracy | Decide Madrid is the civic technology of Madrid City Council which allows
users to create and support online petitions. Despite the initial success, the
platform is encountering problems with the growth of petition signing because
petitions are far from the minimum number of supporting votes they must gather.
Previou... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Learning to Attend to Risk in ICU | Modeling physiological time-series in ICU is of high clinical importance.
However, data collected within ICU are irregular in time and often contain
missing measurements. Since absence of a measure would signify its lack of
importance, the missingness is indeed informative and might reflect the
decision making by the... | 1 | 0 | 0 | 1 | 0 | 0 |
Steklov problem on differential forms | In this paper we study spectral properties of Dirichlet-to-Neumann map on
differential forms obtained by a slight modification of the definition due to
Belishev and Sharafutdinov. The resulting operator $\Lambda$ is shown to be
self-adjoint on the subspace of coclosed forms and to have purely discrete
spectrum there.... | 0 | 0 | 1 | 0 | 0 | 0 |
Constraining a dark matter and dark energy interaction scenario with a dynamical equation of state | In this work we have used the recent cosmic chronometers data along with the
latest estimation of the local Hubble parameter value, $H_0$ at 2.4\% precision
as well as the standard dark energy probes, such as the Supernovae Type Ia,
baryon acoustic oscillation distance measurements, and cosmic microwave
background me... | 0 | 1 | 0 | 0 | 0 | 0 |
Comprehensive evaluation of statistical speech waveform synthesis | Statistical TTS systems that directly predict the speech waveform have
recently reported improvements in synthesis quality. This investigation
evaluates Amazon's statistical speech waveform synthesis (SSWS) system. An
in-depth evaluation of SSWS is conducted across a number of domains to better
understand the consist... | 1 | 0 | 0 | 0 | 0 | 0 |
Component response rate variation drives stability in large complex systems | The stability of a complex system generally decreases with increasing system
size and interconnectivity, a counterintuitive result of widespread importance
across the physical, life, and social sciences. Despite recent interest in the
relationship between system properties and stability, the effect of variation
in th... | 0 | 0 | 0 | 0 | 1 | 0 |
Time-resolved ultrafast x-ray scattering from an incoherent electronic mixture | Time-resolved ultrafast x-ray scattering from photo-excited matter is an
emerging method to image ultrafast dynamics in matter with atomic-scale spatial
and temporal resolutions. For a correct and rigorous understanding of current
and upcoming imaging experiments, we present the theory of time-resolved x-ray
scatteri... | 0 | 1 | 0 | 0 | 0 | 0 |
Calculation of the critical overdensity in the spherical-collapse approximation | Critical overdensity $\delta_c$ is a key concept in estimating the number
count of halos for different redshift and halo-mass bins, and therefore, it is
a powerful tool to compare cosmological models to observations. There are
currently two different prescriptions in the literature for its calculation,
namely, the di... | 0 | 1 | 0 | 0 | 0 | 0 |
Point distributions in compact metric spaces, II | We consider finite point subsets (distributions) in compact metric spaces. In
the case of general rectifiable metric spaces, non-trivial bounds for sums of
distances between points of distributions and for discrepancies of
distributions in metric balls are given (Theorem 1.1). We generalize
Stolarsky's invariance pri... | 0 | 0 | 1 | 0 | 0 | 0 |
A Variational Projection Scheme for Nonmatching Surface-to-Line Coupling between 3D Flexible Multibody System and Incompressible Turbulent Flow | This paper is concerned with the partitioned iterative formulation to
simulate the fluid-structure interaction of a nonlinear multibody system in an
incompressible turbulent flow. The proposed formulation relies on a
three-dimensional (3D) incompressible turbulent flow solver, a nonlinear
monolithic elastic structura... | 0 | 1 | 0 | 0 | 0 | 0 |
The Hubble Catalog of Variables | The Hubble Catalog of Variables (HCV) is a 3 year ESA funded project that
aims to develop a set of algorithms to identify variables among the sources
included in the Hubble Source Catalog (HSC) and produce the HCV. We will
process all HSC sources with more than a predefined number of measurements in a
single filter/i... | 0 | 1 | 0 | 0 | 0 | 0 |
A Loop-Based Methodology for Reducing Computational Redundancy in Workload Sets | The design of general purpose processors relies heavily on a workload
gathering step in which representative programs are collected from various
application domains. Processor performance, when running the workload set, is
profiled using simulators that model the targeted processor architecture.
However, simulating t... | 1 | 0 | 0 | 0 | 0 | 0 |
Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization | Most traditional video summarization methods are designed to generate
effective summaries for single-view videos, and thus they cannot fully exploit
the complicated intra and inter-view correlations in summarizing multi-view
videos in a camera network. In this paper, with the aim of summarizing
multi-view videos, we ... | 1 | 0 | 0 | 0 | 0 | 0 |
A Logical Approach to Cloud Federation | Federated clouds raise a variety of challenges for managing identity,
resource access, naming, connectivity, and object access control. This paper
shows how to address these challenges in a comprehensive and uniform way using
a data-centric approach. The foundation of our approach is a trust logic in
which participan... | 1 | 0 | 0 | 0 | 0 | 0 |
Deep Affordance-grounded Sensorimotor Object Recognition | It is well-established by cognitive neuroscience that human perception of
objects constitutes a complex process, where object appearance information is
combined with evidence about the so-called object "affordances", namely the
types of actions that humans typically perform when interacting with them. This
fact has r... | 1 | 0 | 0 | 0 | 0 | 0 |
Liquid crystal induced elasto-capillary suppression of crack formation in thin colloidal films | Drying of colloidal droplets on solid, rigid substrates is associated with a
capillary pressure developing within the droplet. In due course of time, the
capillary pressure builds up due to droplet evaporation resulting in the
formation of a colloidal thin film that is prone to crack formation. In this
study, we show... | 0 | 1 | 0 | 0 | 0 | 0 |
Autonomous Reactive Mission Scheduling and Task-Path Planning Architecture for Autonomous Underwater Vehicle | An Autonomous Underwater Vehicle (AUV) should carry out complex tasks in a
limited time interval. Since existing AUVs have limited battery capacity and
restricted endurance, they should autonomously manage mission time and the
resources to perform effective persistent deployment in longer missions. Task
assignment re... | 1 | 0 | 0 | 0 | 0 | 0 |
Stealth Attacks on the Smart Grid | Random attacks that jointly minimize the amount of information acquired by
the operator about the state of the grid and the probability of attack
detection are presented. The attacks minimize the information acquired by the
operator by minimizing the mutual information between the observations and the
state variables... | 1 | 0 | 0 | 0 | 0 | 0 |
Gradual Tuning: a better way of Fine Tuning the parameters of a Deep Neural Network | In this paper we present an alternative strategy for fine-tuning the
parameters of a network. We named the technique Gradual Tuning. Once trained on
a first task, the network is fine-tuned on a second task by modifying a
progressively larger set of the network's parameters. We test Gradual Tuning on
different transfe... | 1 | 0 | 0 | 0 | 0 | 0 |
Bayesian power-spectrum inference with foreground and target contamination treatment | This work presents a joint and self-consistent Bayesian treatment of various
foreground and target contaminations when inferring cosmological power-spectra
and three dimensional density fields from galaxy redshift surveys. This is
achieved by introducing additional block sampling procedures for unknown
coefficients o... | 0 | 1 | 0 | 0 | 0 | 0 |
3-Lie bialgebras and 3-Lie classical Yang-Baxter equations in low dimensions | In this paper, we give some low-dimensional examples of local cocycle 3-Lie
bialgebras and double construction 3-Lie bialgebras which were introduced in
the study of the classical Yang-Baxter equation and Manin triples for 3-Lie
algebras. We give an explicit and practical formula to compute the
skew-symmetric solutio... | 0 | 0 | 1 | 0 | 0 | 0 |
Adaptive pixel-super-resolved lensfree holography for wide-field on-chip microscopy | High-resolution wide field-of-view (FOV) microscopic imaging plays an
essential role in various fields of biomedicine, engineering, and physical
sciences. As an alternative to conventional lens-based scanning techniques,
lensfree holography provides a new way to effectively bypass the intrinsical
trade-off between th... | 0 | 1 | 0 | 0 | 0 | 0 |
Attend to You: Personalized Image Captioning with Context Sequence Memory Networks | We address personalization issues of image captioning, which have not been
discussed yet in previous research. For a query image, we aim to generate a
descriptive sentence, accounting for prior knowledge such as the user's active
vocabularies in previous documents. As applications of personalized image
captioning, we... | 1 | 0 | 0 | 0 | 0 | 0 |
Hardness of almost embedding simplicial complexes in $\mathbb R^d$ | A map $f\colon K\to \mathbb R^d$ of a simplicial complex is an almost
embedding if $f(\sigma)\cap f(\tau)=\emptyset$ whenever $\sigma,\tau$ are
disjoint simplices of $K$.
Theorem. Fix integers $d,k\ge2$ such that $d=\frac{3k}2+1$.
(a) Assume that $P\ne NP$. Then there exists a finite $k$-dimensional complex
$K$ that ... | 1 | 0 | 1 | 0 | 0 | 0 |
Asymmetry of short-term control of spatio-temporal gait parameters during treadmill walking | Optimization of energy cost determines average values of spatio-temporal gait
parameters such as step duration, step length or step speed. However, during
walking, humans need to adapt these parameters at every step to respond to
exogenous and/or endogenic perturbations. While some neurological mechanisms
that trigge... | 0 | 1 | 0 | 0 | 0 | 0 |
Edge N-Level Sparse Visibility Graphs: Fast Optimal Any-Angle Pathfinding Using Hierarchical Taut Paths | In the Any-Angle Pathfinding problem, the goal is to find the shortest path
between a pair of vertices on a uniform square grid, that is not constrained to
any fixed number of possible directions over the grid. Visibility Graphs are a
known optimal algorithm for solving the problem with the use of pre-processing.
How... | 1 | 0 | 0 | 0 | 0 | 0 |
Model-Free Renewable Scenario Generation Using Generative Adversarial Networks | Scenario generation is an important step in the operation and planning of
power systems with high renewable penetrations. In this work, we proposed a
data-driven approach for scenario generation using generative adversarial
networks, which is based on two interconnected deep neural networks. Compared
with existing me... | 1 | 0 | 1 | 0 | 0 | 0 |
Higher-genus quasimap wall-crossing via localization | We give a new proof of Ciocan-Fontanine and Kim's wall-crossing formula
relating the virtual classes of the moduli spaces of $\epsilon$-stable
quasimaps for different $\epsilon$ in any genus, whenever the target is a
complete intersection in projective space and there is at least one marked
point.
Our techniques invo... | 0 | 0 | 1 | 0 | 0 | 0 |
Uncertainty in Cyber Security Investments | When undertaking cyber security risk assessments, we must assign numeric
values to metrics to compute the final expected loss that represents the risk
that an organization is exposed to due to cyber threats. Even if risk
assessment is motivated from real-world observations and data, there is always
a high chance of a... | 1 | 0 | 0 | 0 | 0 | 0 |
ELT Linear Algebra II | This paper is a continuation of [arXiv:1603.02204]. Exploded layered tropical
(ELT) algebra is an extension of tropical algebra with a structure of layers.
These layers allow us to use classical algebraic results in order to easily
prove analogous tropical results. Specifically we prove and use an ELT version
of the ... | 0 | 0 | 1 | 0 | 0 | 0 |
Inner-Scene Similarities as a Contextual Cue for Object Detection | Using image context is an effective approach for improving object detection.
Previously proposed methods used contextual cues that rely on semantic or
spatial information. In this work, we explore a different kind of contextual
information: inner-scene similarity. We present the CISS (Context by Inner
Scene Similarit... | 1 | 0 | 0 | 0 | 0 | 0 |
Time-dependent spectral renormalization method | The spectral renormalization method was introduced by Ablowitz and Musslimani
in 2005, [Opt. Lett. 30, pp. 2140-2142] as an effective way to numerically
compute (time-independent) bound states for certain nonlinear boundary value
problems. % of the nonlinear Schrödinger (NLS), Gross-Pitaevskii and water
wave type equ... | 0 | 1 | 0 | 0 | 0 | 0 |
Cloth Manipulation Using Random-Forest-Based Imitation Learning | We present a novel approach for robust manipulation of high-DOF deformable
objects such as cloth. Our approach uses a random forest-based controller that
maps the observed visual features of the cloth to an optimal control action of
the manipulator. The topological structure of this random forest-based
controller is ... | 1 | 0 | 0 | 0 | 0 | 0 |
Probabilistic Reduced-Order Modeling for Stochastic Partial Differential Equations | We discuss a Bayesian formulation to coarse-graining (CG) of PDEs where the
coefficients (e.g. material parameters) exhibit random, fine scale variability.
The direct solution to such problems requires grids that are small enough to
resolve this fine scale variability which unavoidably requires the repeated
solution ... | 0 | 0 | 0 | 1 | 0 | 0 |
A practical guide to the simultaneous determination of protein structure and dynamics using metainference | Accurate protein structural ensembles can be determined with metainference, a
Bayesian inference method that integrates experimental information with prior
knowledge of the system and deals with all sources of uncertainty and errors as
well as with system heterogeneity. Furthermore, metainference can be
implemented u... | 0 | 0 | 0 | 0 | 1 | 0 |
Propensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score Methods | The optimal learner for prediction modeling varies depending on the
underlying data-generating distribution. Super Learner (SL) is a generic
ensemble learning algorithm that uses cross-validation to select among a
"library" of candidate prediction models. The SL is not restricted to a single
prediction model, but use... | 0 | 0 | 0 | 1 | 0 | 0 |
Transmission spectroscopy of the hot Jupiter TrES-3 b: Disproof of an overly large Rayleigh-like feature | Context. Transit events of extrasolar planets offer the opportunity to study
the composition of their atmospheres. Previous work on transmission
spectroscopy of the close-in gas giant TrES-3 b revealed an increase in
absorption towards blue wavelengths of very large amplitude in terms of
atmospheric pressure scale he... | 0 | 1 | 0 | 0 | 0 | 0 |
Multi-Objective Approaches to Markov Decision Processes with Uncertain Transition Parameters | Markov decision processes (MDPs) are a popular model for performance analysis
and optimization of stochastic systems. The parameters of stochastic behavior
of MDPs are estimates from empirical observations of a system; their values are
not known precisely. Different types of MDPs with uncertain, imprecise or
bounded ... | 1 | 0 | 0 | 0 | 0 | 0 |
Certificates for triangular equivalence and rank profiles | In this paper, we give novel certificates for triangular equivalence and rank
profiles. These certificates enable to verify the row or column rank profiles
or the whole rank profile matrix faster than recomputing them, with a
negligible overall overhead. We first provide quadratic time and space
non-interactive certi... | 1 | 0 | 0 | 0 | 0 | 0 |
TF Boosted Trees: A scalable TensorFlow based framework for gradient boosting | TF Boosted Trees (TFBT) is a new open-sourced frame-work for the distributed
training of gradient boosted trees. It is based on TensorFlow, and its
distinguishing features include a novel architecture, automatic loss
differentiation, layer-by-layer boosting that results in smaller ensembles and
faster prediction, pri... | 1 | 0 | 0 | 1 | 0 | 0 |
Circuit Treewidth, Sentential Decision, and Query Compilation | The evaluation of a query over a probabilistic database boils down to
computing the probability of a suitable Boolean function, the lineage of the
query over the database. The method of query compilation approaches the task in
two stages: first, the query lineage is implemented (compiled) in a circuit
form where prob... | 1 | 0 | 0 | 0 | 0 | 0 |
Improvements in the Small Sample Efficiency of the Minimum $S$-Divergence Estimators under Discrete Models | This paper considers the problem of inliers and empty cells and the resulting
issue of relative inefficiency in estimation under pure samples from a discrete
population when the sample size is small. Many minimum divergence estimators in
the $S$-divergence family, although possessing very strong outlier stability
pro... | 0 | 0 | 1 | 1 | 0 | 0 |
Homogeneous Kobayashi-hyperbolic manifolds with automorphism group of subcritical dimension | We determine all connected homogeneous Kobayashi-hyperbolic manifolds of
dimension $n\ge 2$ whose holomorphic automorphism group has dimension $n^2-3$.
This result complements existing classifications for automorphism group
dimension $n^2-2$ (which is in some sense critical) and greater.
| 0 | 0 | 1 | 0 | 0 | 0 |
Centroidal localization game | One important problem in a network is to locate an (invisible) moving entity
by using distance-detectors placed at strategical locations. For instance, the
metric dimension of a graph $G$ is the minimum number $k$ of detectors placed
in some vertices $\{v_1,\cdots,v_k\}$ such that the vector $(d_1,\cdots,d_k)$
of the... | 1 | 0 | 0 | 0 | 0 | 0 |
Improving the Burgess bound via Polya-Vinogradov | We show that even mild improvements of the Polya-Vinogradov inequality would
imply significant improvements of Burgess' bound on character sums. Our main
ingredients are a lower bound on certain types of character sums (coming from
works of the second author joint with J. Bober and Y. Lamzouri) and a
quantitative rel... | 0 | 0 | 1 | 0 | 0 | 0 |
Processes accompanying stimulated recombination of atoms | The phenomenon of polarization of nuclei in the process of stimulated
recombination of atoms in the field of circularly polarized laser radiation is
considered. This effect is considered for the case of the proton-electron beams
used in the method of electron cooling. An estimate is obtained for the maximum
degree of... | 0 | 1 | 0 | 0 | 0 | 0 |
The Complexity of Factors of Multivariate Polynomials | The existence of string functions, which are not polynomial time computable,
but whose graph is checkable in polynomial time, is a basic assumption in
cryptography. We prove that in the framework of algebraic complexity, there are
no such families of polynomial functions of polynomially bounded degree over
fields of ... | 1 | 0 | 0 | 0 | 0 | 0 |
Chatbots as Conversational Recommender Systems in Urban Contexts | In this paper, we outline the vision of chatbots that facilitate the
interaction between citizens and policy-makers at the city scale. We report the
results of a co-design session attended by more than 60 participants. We give
an outlook of how some challenges associated with such chatbot systems could be
addressed i... | 1 | 0 | 0 | 0 | 0 | 0 |
An estimate of the first non-zero eigenvalue of the Laplacian by the Ricci curvature on edges of graphs | We define the distance between edges of graphs and study the coarse Ricci
curvature on edges. We consider the Laplacian on edges based on the
Jost-Horak's definition of the Laplacian on simplicial complexes. As one of our
main results, we obtain an estimate of the first non-zero eigenvalue of the
Laplacian by the Ric... | 0 | 0 | 1 | 0 | 0 | 0 |
A Deep Reinforcement Learning Chatbot | We present MILABOT: a deep reinforcement learning chatbot developed by the
Montreal Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize
competition. MILABOT is capable of conversing with humans on popular small talk
topics through both speech and text. The system consists of an ensemble of
natural lan... | 1 | 0 | 0 | 1 | 0 | 0 |
Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization | We propose a data-driven method to solve a stochastic optimal power flow
(OPF) problem based on limited information about forecast error distributions.
The objective is to determine power schedules for controllable devices in a
power network to balance operation cost and conditional value-at-risk (CVaR) of
device and... | 1 | 0 | 1 | 0 | 0 | 0 |
Deep Learning for Real-Time Crime Forecasting and its Ternarization | Real-time crime forecasting is important. However, accurate prediction of
when and where the next crime will happen is difficult. No known physical model
provides a reasonable approximation to such a complex system. Historical crime
data are sparse in both space and time and the signal of interests is weak. In
this w... | 1 | 0 | 0 | 1 | 0 | 0 |
Thermal Modeling of Comet-Like Objects from AKARI Observation | We investigated the physical properties of the comet-like objects 107P/(4015)
Wilson--Harrington (4015WH) and P/2006 HR30 (Siding Spring; HR30) by applying a
simple thermophysical model (TPM) to the near-infrared spectroscopy and
broadband observation data obtained by AKARI satellite of JAXA when they showed
no detec... | 0 | 1 | 0 | 0 | 0 | 0 |
Improvement to the Prediction of Fuel Cost Distributions Using ARIMA Model | Availability of a validated, realistic fuel cost model is a prerequisite to
the development and validation of new optimization methods and control tools.
This paper uses an autoregressive integrated moving average (ARIMA) model with
historical fuel cost data in development of a three-step-ahead fuel cost
distribution... | 0 | 0 | 0 | 1 | 0 | 0 |
Timed Discrete-Event Systems are Synchronous Product Structures | In this work, we show that the model of timed discrete-event systems (TDES)
proposed by Brandin and Wonham is essentially a synchronous product structure.
This resolves an open problem that has remained unaddressed for the past 25
years and has its application in developing a more efficient timed state-tree
structure... | 1 | 0 | 0 | 0 | 0 | 0 |
Maturation Trajectories of Cortical Resting-State Networks Depend on the Mediating Frequency Band | The functional significance of resting state networks and their abnormal
manifestations in psychiatric disorders are firmly established, as is the
importance of the cortical rhythms in mediating these networks. Resting state
networks are known to undergo substantial reorganization from childhood to
adulthood, but whe... | 0 | 0 | 0 | 1 | 1 | 0 |
High-power closed-cycle $^4$He cryostat with top-loading sample exchange | We report on the development of a versatile cryogen-free laboratory cryostat
based upon a commercial pulse tube cryocooler. It provides enough cooling power
for continuous recondensation of circulating $^4$He gas at a condensation
pressure of approximately 250~mbar. Moreover, the cryostat allows for exchange
of diffe... | 0 | 1 | 0 | 0 | 0 | 0 |
A new proof of Kirchberg's $\mathcal O_2$-stable classification | I present a new proof of Kirchberg's $\mathcal O_2$-stable classification
theorem: two separable, nuclear, stable/unital, $\mathcal O_2$-stable
$C^\ast$-algebras are isomorphic if and only if their ideal lattices are order
isomorphic, or equivalently, their primitive ideal spaces are homeomorphic.
Many intermediate r... | 0 | 0 | 1 | 0 | 0 | 0 |
Scaling evidence of the homothetic nature of cities | In this paper we analyse the profile of land use and population density with
respect to the distance to the city centre for the European city. In addition
to providing the radial population density and soil-sealing profiles for a
large set of cities, we demonstrate a remarkable constancy of the profiles
across city s... | 0 | 1 | 0 | 0 | 0 | 0 |
Subconvex bounds for Hecke-Maass forms on compact arithmetic quotients of semisimple Lie groups | Let $H$ be a semisimple algebraic group, $K$ a maximal compact subgroup of
$G:=H(\mathbb{R})$, and $\Gamma\subset H(\mathbb{Q})$ a congruence arithmetic
subgroup. In this paper, we generalize existing subconvex bounds for
Hecke-Maass forms on the locally symmetric space $\Gamma \backslash G/K$ to
corresponding bounds... | 0 | 0 | 1 | 0 | 0 | 0 |
Studying Positive Speech on Twitter | We present results of empirical studies on positive speech on Twitter. By
positive speech we understand speech that works for the betterment of a given
situation, in this case relations between different communities in a
conflict-prone country. We worked with four Twitter data sets. Through
semi-manual opinion mining... | 1 | 0 | 0 | 0 | 0 | 0 |
Geostatistical inference in the presence of geomasking: a composite-likelihood approach | In almost any geostatistical analysis, one of the underlying, often implicit,
modelling assump- tions is that the spatial locations, where measurements are
taken, are recorded without error. In this study we develop geostatistical
inference when this assumption is not valid. This is often the case when, for
example, ... | 0 | 0 | 0 | 1 | 0 | 0 |
Large sample analysis of the median heuristic | In kernel methods, the median heuristic has been widely used as a way of
setting the bandwidth of RBF kernels. While its empirical performances make it
a safe choice under many circumstances, there is little theoretical
understanding of why this is the case. Our aim in this paper is to advance our
understanding of th... | 0 | 0 | 1 | 1 | 0 | 0 |
Divergence Framework for EEG based Multiclass Motor Imagery Brain Computer Interface | Similar to most of the real world data, the ubiquitous presence of
non-stationarities in the EEG signals significantly perturb the feature
distribution thus deteriorating the performance of Brain Computer Interface. In
this letter, a novel method is proposed based on Joint Approximate
Diagonalization (JAD) to optimiz... | 1 | 0 | 0 | 0 | 1 | 0 |
Accelerated Stochastic Power Iteration | Principal component analysis (PCA) is one of the most powerful tools in
machine learning. The simplest method for PCA, the power iteration, requires
$\mathcal O(1/\Delta)$ full-data passes to recover the principal component of a
matrix with eigen-gap $\Delta$. Lanczos, a significantly more complex method,
achieves an... | 1 | 0 | 1 | 1 | 0 | 0 |
Generalized phase mixing: Turbulence-like behaviour from unidirectionally propagating MHD waves | We present the results of three-dimensional (3D) ideal magnetohydrodynamics
(MHD) simulations on the dynamics of a perpendicularly inhomogeneous plasma
disturbed by propagating Alfvénic waves. Simpler versions of this scenario
have been extensively studied as the phenomenon of phase mixing. We show that,
by generaliz... | 0 | 1 | 0 | 0 | 0 | 0 |
Discovering Bayesian Market Views for Intelligent Asset Allocation | Along with the advance of opinion mining techniques, public mood has been
found to be a key element for stock market prediction. However, how market
participants' behavior is affected by public mood has been rarely discussed.
Consequently, there has been little progress in leveraging public mood for the
asset allocat... | 0 | 0 | 0 | 0 | 0 | 1 |
Bayesian Static Parameter Estimation for Partially Observed Diffusions via Multilevel Monte Carlo | In this article we consider static Bayesian parameter estimation for
partially observed diffusions that are discretely observed. We work under the
assumption that one must resort to discretizing the underlying diffusion
process, for instance using the Euler-Maruyama method. Given this assumption,
we show how one can ... | 0 | 0 | 1 | 1 | 0 | 0 |
EigenNetworks | In many applications, the interdependencies among a set of $N$ time series
$\{ x_{nk}, k>0 \}_{n=1}^{N}$ are well captured by a graph or network $G$. The
network itself may change over time as well (i.e., as $G_k$). We expect the
network changes to be at a much slower rate than that of the time series. This
paper int... | 1 | 0 | 0 | 1 | 0 | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.