ID int64 1 16.8k | TITLE stringlengths 7 239 | ABSTRACT stringlengths 7 2.59k | Computer Science int64 0 1 | Physics int64 0 1 | Mathematics int64 0 1 | Statistics int64 0 1 | Quantitative Biology int64 0 1 | Quantitative Finance int64 0 1 |
|---|---|---|---|---|---|---|---|---|
601 | Regrasping by Fixtureless Fixturing | This paper presents a fixturing strategy for regrasping that does not require
a physical fixture. To regrasp an object in a gripper, a robot pushes the
object against external contact/s in the environment such that the external
contact keeps the object stationary while the fingers slide over the object. We
call this ... | 1 | 0 | 0 | 0 | 0 | 0 |
602 | Subset Labeled LDA for Large-Scale Multi-Label Classification | Labeled Latent Dirichlet Allocation (LLDA) is an extension of the standard
unsupervised Latent Dirichlet Allocation (LDA) algorithm, to address
multi-label learning tasks. Previous work has shown it to perform in par with
other state-of-the-art multi-label methods. Nonetheless, with increasing label
sets sizes LLDA e... | 0 | 0 | 0 | 1 | 0 | 0 |
603 | A Hybrid Approach to Video Source Identification | Multimedia Forensics allows to determine whether videos or images have been
captured with the same device, and thus, eventually, by the same person.
Currently, the most promising technology to achieve this task, exploits the
unique traces left by the camera sensor into the visual content. Anyway, image
and video sour... | 1 | 0 | 0 | 0 | 0 | 0 |
604 | Asymptotics of ABC | We present an informal review of recent work on the asymptotics of
Approximate Bayesian Computation (ABC). In particular we focus on how does the
ABC posterior, or point estimates obtained by ABC, behave in the limit as we
have more data? The results we review show that ABC can perform well in terms
of point estimati... | 0 | 0 | 1 | 1 | 0 | 0 |
605 | Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity | We consider the problem of learning sparse polymatrix games from observations
of strategic interactions. We show that a polynomial time method based on
$\ell_{1,2}$-group regularized logistic regression recovers a game, whose Nash
equilibria are the $\epsilon$-Nash equilibria of the game from which the data
was gener... | 1 | 0 | 0 | 0 | 0 | 0 |
606 | Superposition solutions to the extended KdV equation for water surface waves | The KdV equation can be derived in the shallow water limit of the Euler
equations. Over the last few decades, this equation has been extended to
include higher order effects. Although this equation has only one conservation
law, exact periodic and solitonic solutions exist. Khare and Saxena
\cite{KhSa,KhSa14,KhSa15} ... | 0 | 1 | 0 | 0 | 0 | 0 |
607 | Boosting the Actor with Dual Critic | This paper proposes a new actor-critic-style algorithm called Dual
Actor-Critic or Dual-AC. It is derived in a principled way from the Lagrangian
dual form of the Bellman optimality equation, which can be viewed as a
two-player game between the actor and a critic-like function, which is named as
dual critic. Compared... | 1 | 0 | 0 | 0 | 0 | 0 |
608 | Counting Dominating Sets of Graphs | Counting dominating sets in a graph $G$ is closely related to the
neighborhood complex of $G$. We exploit this relation to prove that the number
of dominating sets $d(G)$ of a graph is determined by the number of complete
bipartite subgraphs of its complement. More precisely, we state the following.
Let $G$ be a simp... | 0 | 0 | 1 | 0 | 0 | 0 |
609 | High SNR Consistent Compressive Sensing | High signal to noise ratio (SNR) consistency of model selection criteria in
linear regression models has attracted a lot of attention recently. However,
most of the existing literature on high SNR consistency deals with model order
selection. Further, the limited literature available on the high SNR
consistency of su... | 1 | 0 | 0 | 1 | 0 | 0 |
610 | Communication Reducing Algorithms for Distributed Hierarchical N-Body Problems with Boundary Distributions | Reduction of communication and efficient partitioning are key issues for
achieving scalability in hierarchical $N$-Body algorithms like FMM. In the
present work, we propose four independent strategies to improve partitioning
and reduce communication. First of all, we show that the conventional wisdom of
using space-f... | 1 | 0 | 0 | 0 | 0 | 0 |
611 | Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement | In this paper, we focus on fully automatic traffic surveillance camera
calibration, which we use for speed measurement of passing vehicles. We improve
over a recent state-of-the-art camera calibration method for traffic
surveillance based on two detected vanishing points. More importantly, we
propose a novel automati... | 1 | 0 | 0 | 0 | 0 | 0 |
612 | Technical Report for Real-Time Certified Probabilistic Pedestrian Forecasting | The success of autonomous systems will depend upon their ability to safely
navigate human-centric environments. This motivates the need for a real-time,
probabilistic forecasting algorithm for pedestrians, cyclists, and other agents
since these predictions will form a necessary step in assessing the risk of any
actio... | 1 | 0 | 1 | 0 | 0 | 0 |
613 | Distance Measure Machines | This paper presents a distance-based discriminative framework for learning
with probability distributions. Instead of using kernel mean embeddings or
generalized radial basis kernels, we introduce embeddings based on
dissimilarity of distributions to some reference distributions denoted as
templates. Our framework ex... | 0 | 0 | 0 | 1 | 0 | 0 |
614 | DSBGK Method to Incorporate the CLL Reflection Model and to Simulate Gas Mixtures | Molecular reflections on usual wall surfaces can be statistically described
by the Maxwell diffuse reflection model, which has been successfully applied in
the DSBGK simulations. We develop the DSBGK algorithm to implement the
Cercignani-Lampis-Lord (CLL) reflection model, which is widely applied to
polished surfaces... | 0 | 1 | 0 | 0 | 0 | 0 |
615 | Tropical formulae for summation over a part of SL(2, Z) | Let $f(a,b,c,d)=\sqrt{a^2+b^2}+\sqrt{c^2+d^2}-\sqrt{(a+c)^2+(b+d)^2}$, let
$(a,b,c,d)$ stand for $a,b,c,d\in\mathbb Z_{\geq 0}$ such that $ad-bc=1$.
Define \begin{equation} \label{eq_main} F(s) = \sum_{(a,b,c,d)} f(a,b,c,d)^s.
\end{equation} In other words, we consider the sum of the powers of the
triangle inequality... | 0 | 0 | 1 | 0 | 0 | 0 |
616 | Efficient sampling of conditioned Markov jump processes | We consider the task of generating draws from a Markov jump process (MJP)
between two time points at which the process is known. Resulting draws are
typically termed bridges and the generation of such bridges plays a key role in
simulation-based inference algorithms for MJPs. The problem is challenging due
to the int... | 0 | 0 | 0 | 1 | 0 | 0 |
617 | Holography and thermalization in optical pump-probe spectroscopy | Using holography, we model experiments in which a 2+1D strange metal is
pumped by a laser pulse into a highly excited state, after which the time
evolution of the optical conductivity is probed. We consider a finite-density
state with mildly broken translation invariance and excite it by oscillating
electric field pu... | 0 | 1 | 0 | 0 | 0 | 0 |
618 | On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis | In this paper, we study random subsampling of Gaussian process regression,
one of the simplest approximation baselines, from a theoretical perspective.
Although subsampling discards a large part of training data, we show provable
guarantees on the accuracy of the predictive mean/variance and its
generalization abilit... | 1 | 0 | 0 | 1 | 0 | 0 |
619 | Representing Hybrid Automata by Action Language Modulo Theories | Both hybrid automata and action languages are formalisms for describing the
evolution of dynamic systems. This paper establishes a formal relationship
between them. We show how to succinctly represent hybrid automata in an action
language which in turn is defined as a high-level notation for answer set
programming mo... | 1 | 0 | 0 | 0 | 0 | 0 |
620 | An enthalpy-based multiple-relaxation-time lattice Boltzmann method for solid-liquid phase change heat transfer in metal foams | In this paper, an enthalpy-based multiple-relaxation-time (MRT) lattice
Boltzmann (LB) method is developed for solid-liquid phase change heat transfer
in metal foams under local thermal non-equilibrium (LTNE) condition. The
enthalpy-based MRT-LB method consists of three different MRT-LB models: one for
flow field bas... | 0 | 1 | 0 | 0 | 0 | 0 |
621 | Birth of a subaqueous barchan dune | Barchan dunes are crescentic shape dunes with horns pointing downstream. The
present paper reports the formation of subaqueous barchan dunes from initially
conical heaps in a rectangular channel. Because the most unique feature of a
barchan dune is its horns, we associate the timescale for the appearance of
horns to ... | 0 | 1 | 0 | 0 | 0 | 0 |
622 | Uncoupled isotonic regression via minimum Wasserstein deconvolution | Isotonic regression is a standard problem in shape-constrained estimation
where the goal is to estimate an unknown nondecreasing regression function $f$
from independent pairs $(x_i, y_i)$ where $\mathbb{E}[y_i]=f(x_i), i=1, \ldots
n$. While this problem is well understood both statistically and
computationally, much... | 0 | 0 | 0 | 1 | 0 | 0 |
623 | Failure of Smooth Pasting Principle and Nonexistence of Equilibrium Stopping Rules under Time-Inconsistency | This paper considers a time-inconsistent stopping problem in which the
inconsistency arises from non-constant time preference rates. We show that the
smooth pasting principle, the main approach that has been used to construct
explicit solutions for conventional time-consistent optimal stopping problems,
may fail unde... | 0 | 0 | 0 | 0 | 0 | 1 |
624 | Perils of Zero-Interaction Security in the Internet of Things | The Internet of Things (IoT) demands authentication systems which can provide
both security and usability. Recent research utilizes the rich sensing
capabilities of smart devices to build security schemes operating without human
interaction, such as zero-interaction pairing (ZIP) and zero-interaction
authentication (... | 1 | 0 | 0 | 0 | 0 | 0 |
625 | Coarse-grained simulation of auxetic, two-dimensional crystal dynamics | The increasing number of protein-based metamaterials demands reliable and
efficient methods to study the physicochemical properties they may display. In
this regard, we develop a simulation strategy based on Molecular Dynamics (MD)
that addresses the geometric degrees of freedom of an auxetic two-dimensional
protein ... | 0 | 1 | 0 | 0 | 0 | 0 |
626 | Core2Vec: A core-preserving feature learning framework for networks | Recent advances in the field of network representation learning are mostly
attributed to the application of the skip-gram model in the context of graphs.
State-of-the-art analogues of skip-gram model in graphs define a notion of
neighbourhood and aim to find the vector representation for a node, which
maximizes the l... | 1 | 0 | 0 | 0 | 0 | 0 |
627 | Predicting wind pressures around circular cylinders using machine learning techniques | Numerous studies have been carried out to measure wind pressures around
circular cylinders since the early 20th century due to its engineering
significance. Consequently, a large amount of wind pressure data sets have
accumulated, which presents an excellent opportunity for using machine learning
(ML) techniques to t... | 1 | 0 | 0 | 1 | 0 | 0 |
628 | Randomly coloring simple hypergraphs with fewer colors | We study the problem of constructing a (near) uniform random proper
$q$-coloring of a simple $k$-uniform hypergraph with $n$ vertices and maximum
degree $\Delta$. (Proper in that no edge is mono-colored and simple in that two
edges have maximum intersection of size one). We show that if $q\geq
\max\{C_k\log n,500k^3\... | 1 | 0 | 0 | 0 | 0 | 0 |
629 | Contributed Discussion to Uncertainty Quantification for the Horseshoe by Stéphanie van der Pas, Botond Szabó and Aad van der Vaart | We begin by introducing the main ideas of the paper under discussion. We
discuss some interesting issues regarding adaptive component-wise credible
intervals. We then briefly touch upon the concepts of self-similarity and
excessive bias restriction. This is then followed by some comments on the
extensive simulation s... | 0 | 0 | 1 | 1 | 0 | 0 |
630 | Channel masking for multivariate time series shapelets | Time series shapelets are discriminative sub-sequences and their similarity
to time series can be used for time series classification. Initial shapelet
extraction algorithms searched shapelets by complete enumeration of all
possible data sub-sequences. Research on shapelets for univariate time series
proposed a mecha... | 1 | 0 | 0 | 0 | 0 | 0 |
631 | Spin mediated enhanced negative magnetoresistance in Ni80Fe20 and p-silicon bilayer | In this work, we present an experimental study of spin mediated enhanced
negative magnetoresistance in Ni80Fe20 (50 nm)/p-Si (350 nm) bilayer. The
resistance measurement shows a reduction of ~2.5% for the bilayer specimen as
compared to 1.3% for Ni80Fe20 (50 nm) on oxide specimen for an out-of-plane
applied magnetic ... | 0 | 1 | 0 | 0 | 0 | 0 |
632 | On the Limitations of Representing Functions on Sets | Recent work on the representation of functions on sets has considered the use
of summation in a latent space to enforce permutation invariance. In
particular, it has been conjectured that the dimension of this latent space may
remain fixed as the cardinality of the sets under consideration increases.
However, we demo... | 1 | 0 | 0 | 1 | 0 | 0 |
633 | Learning Models from Data with Measurement Error: Tackling Underreporting | Measurement error in observational datasets can lead to systematic bias in
inferences based on these datasets. As studies based on observational data are
increasingly used to inform decisions with real-world impact, it is critical
that we develop a robust set of techniques for analyzing and adjusting for
these biases... | 1 | 0 | 0 | 1 | 0 | 0 |
634 | A simple introduction to Karmarkar's Algorithm for Linear Programming | An extremely simple, description of Karmarkar's algorithm with very few
technical terms is given.
| 1 | 0 | 0 | 0 | 0 | 0 |
635 | Magneto-inductive Passive Relaying in Arbitrarily Arranged Networks | We consider a wireless sensor network that uses inductive near-field coupling
for wireless powering or communication, or for both. The severely limited range
of an inductively coupled source-destination pair can be improved using
resonant relay devices, which are purely passive in nature. Utilization of such
magneto-... | 1 | 0 | 0 | 0 | 0 | 0 |
636 | Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces | Transfer operators such as the Perron--Frobenius or Koopman operator play an
important role in the global analysis of complex dynamical systems. The
eigenfunctions of these operators can be used to detect metastable sets, to
project the dynamics onto the dominant slow processes, or to separate
superimposed signals. W... | 1 | 0 | 0 | 1 | 0 | 0 |
637 | Asymptotics of the bound state induced by $δ$-interaction supported on a weakly deformed plane | In this paper we consider the three-dimensional Schrödinger operator with
a $\delta$-interaction of strength $\alpha > 0$ supported on an unbounded
surface parametrized by the mapping $\mathbb{R}^2\ni x\mapsto (x,\beta f(x))$,
where $\beta \in [0,\infty)$ and $f\colon \mathbb{R}^2\rightarrow\mathbb{R}$,
$f\not\equiv ... | 0 | 0 | 1 | 0 | 0 | 0 |
638 | Análise comparativa de pesquisas de origens e destinos: uma abordagem baseada em Redes Complexas | In this paper, a comparative study was conducted between complex networks
representing origin and destination survey data. Similarities were found
between the characteristics of the networks of Brazilian cities with networks
of foreign cities. Power laws were found in the distributions of edge weights
and this scale ... | 1 | 0 | 0 | 0 | 0 | 0 |
639 | Inverse Kinematics for Control of Tensegrity Soft Robots: Existence and Optimality of Solutions | Tension-network (`tensegrity') robots encounter many control challenges as
articulated soft robots, due to the structures' high-dimensional nonlinear
dynamics. Control approaches have been developed which use the inverse
kinematics of tensegrity structures, either for open-loop control or as
equilibrium inputs for cl... | 1 | 0 | 0 | 0 | 0 | 0 |
640 | Smallest eigenvalue density for regular or fixed-trace complex Wishart-Laguerre ensemble and entanglement in coupled kicked tops | The statistical behaviour of the smallest eigenvalue has important
implications for systems which can be modeled using a Wishart-Laguerre
ensemble, the regular one or the fixed trace one. For example, the density of
the smallest eigenvalue of the Wishart-Laguerre ensemble plays a crucial role
in characterizing multip... | 0 | 1 | 1 | 1 | 0 | 0 |
641 | Development of probabilistic dam breach model using Bayesian inference | Dam breach models are commonly used to predict outflow hydrographs of
potentially failing dams and are key ingredients for evaluating flood risk. In
this paper a new dam breach modeling framework is introduced that shall improve
the reliability of hydrograph predictions of homogeneous earthen embankment
dams. Strivin... | 0 | 0 | 0 | 1 | 0 | 0 |
642 | Large Magellanic Cloud Near-Infrared Synoptic Survey. V. Period-Luminosity Relations of Miras | We study the near-infrared properties of 690 Mira candidates in the central
region of the Large Magellanic Cloud, based on time-series observations at
JHKs. We use densely-sampled I-band observations from the OGLE project to
generate template light curves in the near infrared and derive robust mean
magnitudes at thos... | 0 | 0 | 0 | 1 | 0 | 0 |
643 | One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network | There is an inherent need for autonomous cars, drones, and other robots to
have a notion of how their environment behaves and to anticipate changes in the
near future. In this work, we focus on anticipating future appearance given the
current frame of a video. Existing work focuses on either predicting the future
app... | 1 | 0 | 0 | 0 | 0 | 0 |
644 | Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access | We consider the problem of dynamic spectrum access for network utility
maximization in multichannel wireless networks. The shared bandwidth is divided
into K orthogonal channels. In the beginning of each time slot, each user
selects a channel and transmits a packet with a certain transmission
probability. After each ... | 1 | 0 | 0 | 0 | 0 | 0 |
645 | Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming | We design a new myopic strategy for a wide class of sequential design of
experiment (DOE) problems, where the goal is to collect data in order to to
fulfil a certain problem specific goal. Our approach, Myopic Posterior Sampling
(MPS), is inspired by the classical posterior (Thompson) sampling algorithm for
multi-arm... | 0 | 0 | 0 | 1 | 0 | 0 |
646 | Data-Driven Sparse Structure Selection for Deep Neural Networks | Deep convolutional neural networks have liberated its extraordinary power on
various tasks. However, it is still very challenging to deploy state-of-the-art
models into real-world applications due to their high computational complexity.
How can we design a compact and effective network without massive experiments
and... | 1 | 0 | 0 | 0 | 0 | 0 |
647 | Scaling laws and bounds for the turbulent G.O. Roberts dynamo | Numerical simulations of the G.O. Roberts dynamo are presented. Dynamos both
with and without a significant mean field are obtained. Exact bounds are
derived for the total energy which conform with the Kolmogorov phenomenology of
turbulence. Best fits to numerical data show the same functional dependences as
the ineq... | 0 | 1 | 0 | 0 | 0 | 0 |
648 | Control Strategies for the Fokker-Planck Equation | Using a projection-based decoupling of the Fokker-Planck equation, control
strategies that allow to speed up the convergence to the stationary
distribution are investigated. By means of an operator theoretic framework for
a bilinear control system, two different feedback control laws are proposed.
Projected Riccati a... | 0 | 0 | 1 | 0 | 0 | 0 |
649 | On Popov's formula involving the Von Mangoldt function | We offer a generalization of a formula of Popov involving the Von Mangoldt
function. Some commentary on its relation to other results in analytic number
theory is mentioned as well as an analogue involving the m$\ddot{o}$bius
function.
| 0 | 0 | 1 | 0 | 0 | 0 |
650 | On fibering compact manifold over the circle | In this paper, we show that any compact manifold that carries a
SL(n;R)-foliation is fibered on the circle S^1.
| 0 | 0 | 1 | 0 | 0 | 0 |
651 | Phonon-Induced Topological Transition to a Type-II Weyl Semimetal | Given the importance of crystal symmetry for the emergence of topological
quantum states, we have studied, as exemplified in NbNiTe2, the interplay of
crystal symmetry, atomic displacements (lattice vibration), band degeneracy,
and band topology. For NbNiTe2 structure in space group 53 (Pmna) - having an
inversion ce... | 0 | 1 | 0 | 0 | 0 | 0 |
652 | Multi-hop assortativities for networks classification | Several social, medical, engineering and biological challenges rely on
discovering the functionality of networks from their structure and node
metadata, when it is available. For example, in chemoinformatics one might want
to detect whether a molecule is toxic based on structure and atomic types, or
discover the rese... | 1 | 0 | 0 | 1 | 0 | 0 |
653 | A Bayesian Nonparametrics based Robust Particle Filter Algorithm | This paper is concerned with the online estimation of a nonlinear dynamic
system from a series of noisy measurements. The focus is on cases wherein
outliers are present in-between normal noises. We assume that the outliers
follow an unknown generating mechanism which deviates from that of normal
noises, and then mode... | 0 | 0 | 0 | 1 | 0 | 0 |
654 | Highly accurate model for prediction of lung nodule malignancy with CT scans | Computed tomography (CT) examinations are commonly used to predict lung
nodule malignancy in patients, which are shown to improve noninvasive early
diagnosis of lung cancer. It remains challenging for computational approaches
to achieve performance comparable to experienced radiologists. Here we present
NoduleX, a sy... | 0 | 0 | 0 | 1 | 1 | 0 |
655 | Rotating Rayleigh-Taylor turbulence | The turbulent Rayleigh--Taylor system in a rotating reference frame is
investigated by direct numerical simulations within the Oberbeck-Boussinesq
approximation. On the basis of theoretical arguments, supported by our
simulations, we show that the Rossby number decreases in time, and therefore
the Coriolis force beco... | 0 | 1 | 0 | 0 | 0 | 0 |
656 | Evolutionary dynamics of N-person Hawk-Dove games | In the animal world, the competition between individuals belonging to
different species for a resource often requires the cooperation of several
individuals in groups. This paper proposes a generalization of the Hawk-Dove
Game for an arbitrary number of agents: the N-person Hawk-Dove Game. In this
model, doves exempl... | 0 | 1 | 0 | 0 | 0 | 0 |
657 | A global model for predicting the arrival of imported dengue infections | With approximately half of the world's population at risk of contracting
dengue, this mosquito-borne disease is of global concern. International
travellers significantly contribute to dengue's rapid and large-scale spread by
importing the disease from endemic into non-endemic countries. To prevent
future outbreaks an... | 1 | 0 | 0 | 0 | 1 | 0 |
658 | Contextually Customized Video Summaries via Natural Language | The best summary of a long video differs among different people due to its
highly subjective nature. Even for the same person, the best summary may change
with time or mood. In this paper, we introduce the task of generating
customized video summaries through simple text. First, we train a deep
architecture to effect... | 1 | 0 | 0 | 0 | 0 | 0 |
659 | Observation of surface plasmon polaritons in 2D electron gas of surface electron accumulation in InN nanostructures | Recently, heavily doped semiconductors are emerging as an alternate for low
loss plasmonic materials. InN, belonging to the group III nitrides, possesses
the unique property of surface electron accumulation (SEA) which provides two
dimensional electron gas (2DEG) system. In this report, we demonstrated the
surface pl... | 0 | 1 | 0 | 0 | 0 | 0 |
660 | Asymmetric Mach-Zehnder atom interferometers | It is shown that using beam splitters with non-equal wave vectors results in
a new recoil diagram which is qualitatively different from the well-known
diagram associated with the Mach-Zehnder atom interferometer. We predict a new
asymmetric Mach-Zehnder atom interferometer (AMZAI) and study it when one uses
a Raman b... | 0 | 1 | 0 | 0 | 0 | 0 |
661 | Partial Information Stochastic Differential Games for Backward Stochastic Systems Driven By Lévy Processes | In this paper, we consider a partial information two-person zero-sum
stochastic differential game problem where the system is governed by a backward
stochastic differential equation driven by Teugels martingales associated with
a Lévy process and an independent Brownian motion. One sufficient (a
verification theorem)... | 0 | 0 | 1 | 0 | 0 | 0 |
662 | Inter-Session Modeling for Session-Based Recommendation | In recent years, research has been done on applying Recurrent Neural Networks
(RNNs) as recommender systems. Results have been promising, especially in the
session-based setting where RNNs have been shown to outperform state-of-the-art
models. In many of these experiments, the RNN could potentially improve the
recomm... | 1 | 0 | 0 | 0 | 0 | 0 |
663 | Multiscale Modeling of Shock Wave Localization in Porous Energetic Material | Shock wave interactions with defects, such as pores, are known to play a key
role in the chemical initiation of energetic materials. The shock response of
hexanitrostilbene is studied through a combination of large scale reactive
molecular dynamics and mesoscale hydrodynamic simulations. In order to extend
our simula... | 0 | 1 | 0 | 0 | 0 | 0 |
664 | Cryptoasset Factor Models | We propose factor models for the cross-section of daily cryptoasset returns
and provide source code for data downloads, computing risk factors and
backtesting them out-of-sample. In "cryptoassets" we include all
cryptocurrencies and a host of various other digital assets (coins and tokens)
for which exchange market d... | 0 | 0 | 0 | 0 | 0 | 1 |
665 | Multi-dimensional Graph Fourier Transform | Many signals on Cartesian product graphs appear in the real world, such as
digital images, sensor observation time series, and movie ratings on Netflix.
These signals are "multi-dimensional" and have directional characteristics
along each factor graph. However, the existing graph Fourier transform does not
distinguis... | 1 | 0 | 0 | 1 | 0 | 0 |
666 | Criteria for the Application of Double Exponential Transformation | The double exponential formula was introduced for calculating definite
integrals with singular point oscillation functions and Fourier-integrals. The
double exponential transformation is not only useful for numerical computations
but it is also used in different methods of Sinc theory. In this paper we use
double exp... | 0 | 0 | 1 | 0 | 0 | 0 |
667 | Ultra-high strain in epitaxial silicon carbide nanostructures utilizing residual stress amplification | Strain engineering has attracted great attention, particularly for epitaxial
films grown on a different substrate. Residual strains of SiC have been widely
employed to form ultra-high frequency and high Q factor resonators. However, to
date the highest residual strain of SiC was reported to be limited to
approximatel... | 0 | 1 | 0 | 0 | 0 | 0 |
668 | The Diverse Club: The Integrative Core of Complex Networks | A complex system can be represented and analyzed as a network, where nodes
represent the units of the network and edges represent connections between
those units. For example, a brain network represents neurons as nodes and axons
between neurons as edges. In many networks, some nodes have a
disproportionately high nu... | 0 | 1 | 0 | 0 | 0 | 0 |
669 | Bayesian Semisupervised Learning with Deep Generative Models | Neural network based generative models with discriminative components are a
powerful approach for semi-supervised learning. However, these techniques a)
cannot account for model uncertainty in the estimation of the model's
discriminative component and b) lack flexibility to capture complex stochastic
patterns in the ... | 0 | 0 | 0 | 1 | 0 | 0 |
670 | Robust Detection of Covariate-Treatment Interactions in Clinical Trials | Detection of interactions between treatment effects and patient descriptors
in clinical trials is critical for optimizing the drug development process. The
increasing volume of data accumulated in clinical trials provides a unique
opportunity to discover new biomarkers and further the goal of personalized
medicine, b... | 0 | 0 | 0 | 1 | 0 | 0 |
671 | The Future of RICH Detectors through the Light of the LHCb RICH | The limitations in performance of the present RICH system in the LHCb
experiment are given by the natural chromatic dispersion of the gaseous
Cherenkov radiator, the aberrations of the optical system and the pixel size of
the photon detectors. Moreover, the overall PID performance can be affected by
high detector occ... | 0 | 1 | 0 | 0 | 0 | 0 |
672 | Stability of Valuations: Higher Rational Rank | Given a klt singularity $x\in (X, D)$, we show that a quasi-monomial
valuation $v$ with a finitely generated associated graded ring is the minimizer
of the normalized volume function $\widehat{\rm vol}_{(X,D),x}$, if and only if
$v$ induces a degeneration to a K-semistable log Fano cone singularity.
Moreover, such a ... | 0 | 0 | 1 | 0 | 0 | 0 |
673 | Higgs mode and its decay in a two dimensional antiferromagnet | Condensed-matter analogs of the Higgs boson in particle physics allow
insights into its behavior in different symmetries and dimensionalities.
Evidence for the Higgs mode has been reported in a number of different
settings, including ultracold atomic gases, disordered superconductors, and
dimerized quantum magnets. H... | 0 | 1 | 0 | 0 | 0 | 0 |
674 | Robust and Efficient Boosting Method using the Conditional Risk | Well-known for its simplicity and effectiveness in classification, AdaBoost,
however, suffers from overfitting when class-conditional distributions have
significant overlap. Moreover, it is very sensitive to noise that appears in
the labels. This article tackles the above limitations simultaneously via
optimizing a m... | 0 | 0 | 0 | 1 | 0 | 0 |
675 | High Dimensional Robust Estimation of Sparse Models via Trimmed Hard Thresholding | We study the problem of sparsity constrained $M$-estimation with arbitrary
corruptions to both {\em explanatory and response} variables in the
high-dimensional regime, where the number of variables $d$ is larger than the
sample size $n$. Our main contribution is a highly efficient gradient-based
optimization algorith... | 1 | 0 | 1 | 1 | 0 | 0 |
676 | Stop talking to me -- a communication-avoiding ADER-DG realisation | We present a communication- and data-sensitive formulation of ADER-DG for
hyperbolic differential equation systems. Sensitive here has multiple flavours:
First, the formulation reduces the persistent memory footprint. This reduces
pressure on the memory subsystem. Second, the formulation realises the
underlying predi... | 1 | 0 | 0 | 0 | 0 | 0 |
677 | The effect of prior probabilities on quantification and propagation of imprecise probabilities resulting from small datasets | This paper outlines a methodology for Bayesian multimodel uncertainty
quantification (UQ) and propagation and presents an investigation into the
effect of prior probabilities on the resulting uncertainties. The UQ
methodology is adapted from the information-theoretic method previously
presented by the authors (Zhang ... | 0 | 0 | 0 | 1 | 0 | 0 |
678 | Hierarchical loss for classification | Failing to distinguish between a sheepdog and a skyscraper should be worse
and penalized more than failing to distinguish between a sheepdog and a poodle;
after all, sheepdogs and poodles are both breeds of dogs. However, existing
metrics of failure (so-called "loss" or "win") used in textual or visual
classification... | 1 | 0 | 0 | 1 | 0 | 0 |
679 | An efficient data structure for counting all linear extensions of a poset, calculating its jump number, and the likes | Achieving the goals in the title (and others) relies on a cardinality-wise
scanning of the ideals of the poset. Specifically, the relevant numbers
attached to the k+1 element ideals are inferred from the corresponding numbers
of the k-element (order) ideals. Crucial in all of this is a compressed
representation (usin... | 1 | 0 | 0 | 0 | 0 | 0 |
680 | Perception-in-the-Loop Adversarial Examples | We present a scalable, black box, perception-in-the-loop technique to find
adversarial examples for deep neural network classifiers. Black box means that
our procedure only has input-output access to the classifier, and not to the
internal structure, parameters, or intermediate confidence values.
Perception-in-the-lo... | 1 | 0 | 0 | 1 | 0 | 0 |
681 | Deep Fluids: A Generative Network for Parameterized Fluid Simulations | This paper presents a novel generative model to synthesize fluid simulations
from a set of reduced parameters. A convolutional neural network is trained on
a collection of discrete, parameterizable fluid simulation velocity fields. Due
to the capability of deep learning architectures to learn representative
features ... | 0 | 0 | 0 | 1 | 0 | 0 |
682 | Bias Reduction in Instrumental Variable Estimation through First-Stage Shrinkage | The two-stage least-squares (2SLS) estimator is known to be biased when its
first-stage fit is poor. I show that better first-stage prediction can
alleviate this bias. In a two-stage linear regression model with Normal noise,
I consider shrinkage in the estimation of the first-stage instrumental variable
coefficients... | 0 | 0 | 1 | 1 | 0 | 0 |
683 | An Unsupervised Learning Classifier with Competitive Error Performance | An unsupervised learning classification model is described. It achieves
classification error probability competitive with that of popular supervised
learning classifiers such as SVM or kNN. The model is based on the incremental
execution of small step shift and rotation operations upon selected
discriminative hyperpl... | 0 | 0 | 0 | 1 | 0 | 0 |
684 | Exploring the predictability of range-based volatility estimators using RNNs | We investigate the predictability of several range-based stock volatility
estimators, and compare them to the standard close-to-close estimator which is
most commonly acknowledged as the volatility. The patterns of volatility
changes are analyzed using LSTM recurrent neural networks, which are a state of
the art meth... | 0 | 0 | 0 | 1 | 0 | 1 |
685 | Mean squared displacement and sinuosity of three-dimensional random search movements | Correlated random walks (CRW) have been used for a long time as a null model
for animal's random search movement in two dimensions (2D). An increasing
number of studies focus on animals' movement in three dimensions (3D), but the
key properties of CRW, such as the way the mean squared displacement is related
to the p... | 0 | 0 | 0 | 0 | 1 | 0 |
686 | Context-Aware Pedestrian Motion Prediction In Urban Intersections | This paper presents a novel context-based approach for pedestrian motion
prediction in crowded, urban intersections, with the additional flexibility of
prediction in similar, but new, environments. Previously, Chen et. al. combined
Markovian-based and clustering-based approaches to learn motion primitives in a
grid-b... | 1 | 0 | 0 | 1 | 0 | 0 |
687 | EnergyNet: Energy-based Adaptive Structural Learning of Artificial Neural Network Architectures | We present E NERGY N ET , a new framework for analyzing and building
artificial neural network architectures. Our approach adaptively learns the
structure of the networks in an unsupervised manner. The methodology is based
upon the theoretical guarantees of the energy function of restricted Boltzmann
machines (RBM) o... | 1 | 0 | 0 | 0 | 0 | 0 |
688 | Local Algorithms for Hierarchical Dense Subgraph Discovery | Finding the dense regions of a graph and relations among them is a
fundamental problem in network analysis. Core and truss decompositions reveal
dense subgraphs with hierarchical relations. The incremental nature of
algorithms for computing these decompositions and the need for global
information at each step of the ... | 1 | 0 | 0 | 0 | 0 | 0 |
689 | Robust Gesture-Based Communication for Underwater Human-Robot Interaction in the context of Search and Rescue Diver Missions | We propose a robust gesture-based communication pipeline for divers to
instruct an Autonomous Underwater Vehicle (AUV) to assist them in performing
high-risk tasks and helping in case of emergency. A gesture communication
language (CADDIAN) is developed, based on consolidated and standardized diver
gestures, includin... | 1 | 0 | 0 | 0 | 0 | 0 |
690 | High-$T_\textrm {C}$ superconductivity in Cs$_3$C$_{60}$ compounds governed by local Cs-C$_{60}$ Coulomb interactions | Unique among alkali-doped $\textit {A}$$_3$C$_{60}$ fullerene compounds, the
A15 and fcc forms of Cs$_3$C$_{60}$ exhibit superconducting states varying
under hydrostatic pressure with highest transition temperatures at $T_\textrm
{C}$$^\textrm {meas}$ = 38.3 and 35.2 K, respectively. Herein it is argued that
these tw... | 0 | 1 | 0 | 0 | 0 | 0 |
691 | Analysis and mitigation of interface losses in trenched superconducting coplanar waveguide resonators | Improving the performance of superconducting qubits and resonators generally
results from a combination of materials and fabrication process improvements
and design modifications that reduce device sensitivity to residual losses. One
instance of this approach is to use trenching into the device substrate in
combinati... | 0 | 1 | 0 | 0 | 0 | 0 |
692 | Recent Operation of the FNAL Magnetron $H^{-}$ Ion Source | This paper will detail changes in the operational paradigm of the Fermi
National Accelerator Laboratory (FNAL) magnetron $H^{-}$ ion source due to
upgrades in the accelerator system. Prior to November of 2012 the $H^{-}$ ions
for High Energy Physics (HEP) experiments were extracted at ~18 keV vertically
downward into... | 0 | 1 | 0 | 0 | 0 | 0 |
693 | A Ball Breaking Away from a Fluid | We consider the withdrawal of a ball from a fluid reservoir to understand the
longevity of the connection between that ball and the fluid it breaks away
from, at intermediate Reynolds numbers. Scaling arguments based on the
processes observed as the ball interacts with the fluid surface were applied to
the `pinch-off... | 0 | 1 | 0 | 0 | 0 | 0 |
694 | Unveiling the internal entanglement structure of the Kondo singlet | We disentangle all the individual degrees of freedom in the quantum impurity
problem to deconstruct the Kondo singlet, both in real and energy space, by
studying the contribution of each individual free electron eigenstate. This is
a problem of two spins coupled to a bath, where the bath is formed by the
remaining co... | 0 | 1 | 0 | 0 | 0 | 0 |
695 | A parallel orbital-updating based plane-wave basis method for electronic structure calculations | Motivated by the recently proposed parallel orbital-updating approach in real
space method, we propose a parallel orbital-updating based plane-wave basis
method for electronic structure calculations, for solving the corresponding
eigenvalue problems. In addition, we propose two new modified parallel
orbital-updating ... | 0 | 1 | 1 | 0 | 0 | 0 |
696 | Dynamics of the multi-soliton waves in the sine-Gordon model with two identical point impurities | The particular type of four-kink multi-solitons (or quadrons) adiabatic
dynamics of the sine-Gordon equation in a model with two identical point
attracting impurities has been studied. This model can be used for describing
magnetization localized waves in multilayer ferromagnet. The quadrons structure
and properties ... | 0 | 1 | 0 | 0 | 0 | 0 |
697 | Clarifying the Hubble constant tension with a Bayesian hierarchical model of the local distance ladder | Estimates of the Hubble constant, $H_0$, from the distance ladder and the
cosmic microwave background (CMB) differ at the $\sim$3-$\sigma$ level,
indicating a potential issue with the standard $\Lambda$CDM cosmology.
Interpreting this tension correctly requires a model comparison calculation
depending on not only the... | 0 | 1 | 0 | 0 | 0 | 0 |
698 | Multi-User Multi-Armed Bandits for Uncoordinated Spectrum Access | A multi-user multi-armed bandit (MAB) framework is used to develop algorithms
for uncoordinated spectrum access. The number of users is assumed to be unknown
to each user. A stochastic setting is first considered, where the rewards on a
channel are the same for each user. In contrast to prior work, it is assumed
that... | 0 | 0 | 0 | 1 | 0 | 0 |
699 | A Comparative Analysis of Contact Models in Trajectory Optimization for Manipulation | In this paper, we analyze the effects of contact models on contact-implicit
trajectory optimization for manipulation. We consider three different
approaches: (1) a contact model that is based on complementarity constraints,
(2) a smooth contact model, and our proposed method (3) a variable smooth
contact model. We co... | 1 | 0 | 0 | 0 | 0 | 0 |
700 | Computationally Efficient Measures of Internal Neuron Importance | The challenge of assigning importance to individual neurons in a network is
of interest when interpreting deep learning models. In recent work, Dhamdhere
et al. proposed Total Conductance, a "natural refinement of Integrated
Gradients" for attributing importance to internal neurons. Unfortunately, the
authors found t... | 0 | 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.