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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ZFIRE: The Evolution of the Stellar Mass Tully-Fisher Relation to Redshift 2.0 < Z < 2.5 with MOSFIRE | Using observations made with MOSFIRE on Keck I as part of the ZFIRE survey,
we present the stellar mass Tully-Fisher relation at 2.0 < z < 2.5. The sample
was drawn from a stellar mass limited, Ks-band selected catalog from ZFOURGE
over the CANDELS area in the COSMOS field. We model the shear of the Halpha
emission l... | 0 | 1 | 0 | 0 | 0 | 0 |
A new computational method for a model of C. elegans biomechanics: Insights into elasticity and locomotion performance | An organism's ability to move freely is a fundamental behaviour in the animal
kingdom. To understand animal locomotion requires a characterisation of the
material properties, as well as the biomechanics and physiology. We present a
biomechanical model of C. elegans locomotion together with a novel finite
element meth... | 0 | 1 | 0 | 0 | 0 | 0 |
Word forms - not just their lengths- are optimized for efficient communication | The inverse relationship between the length of a word and the frequency of
its use, first identified by G.K. Zipf in 1935, is a classic empirical law that
holds across a wide range of human languages. We demonstrate that length is one
aspect of a much more general property of words: how distinctive they are with
resp... | 1 | 0 | 0 | 0 | 0 | 0 |
Human Understandable Explanation Extraction for Black-box Classification Models Based on Matrix Factorization | In recent years, a number of artificial intelligent services have been
developed such as defect detection system or diagnosis system for customer
services. Unfortunately, the core in these services is a black-box in which
human cannot understand the underlying decision making logic, even though the
inspection of the ... | 1 | 0 | 0 | 1 | 0 | 0 |
Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs | The recent empirical success of cross-domain mapping algorithms, between two
domains that share common characteristics, is not well-supported by theoretical
justifications. This lacuna is especially troubling, given the clear ambiguity
in such mappings. We work with the adversarial training method called the
Wasserst... | 0 | 0 | 0 | 1 | 0 | 0 |
Quantum chaos in an electron-phonon bad metal | We calculate the scrambling rate $\lambda_L$ and the butterfly velocity $v_B$
associated with the growth of quantum chaos for a solvable large-$N$
electron-phonon system. We study a temperature regime in which the electrical
resistivity of this system exceeds the Mott-Ioffe-Regel limit and increases
linearly with tem... | 0 | 1 | 0 | 0 | 0 | 0 |
Data-driven Optimal Transport Cost Selection for Distributionally Robust Optimizatio | Recently, (Blanchet, Kang, and Murhy 2016) showed that several machine
learning algorithms, such as square-root Lasso, Support Vector Machines, and
regularized logistic regression, among many others, can be represented exactly
as distributionally robust optimization (DRO) problems. The distributional
uncertainty is d... | 0 | 0 | 0 | 1 | 0 | 0 |
Formally Secure Compilation of Unsafe Low-Level Components (Extended Abstract) | We propose a new formal criterion for secure compilation, providing strong
security guarantees for components written in unsafe, low-level languages with
C-style undefined behavior. Our criterion goes beyond recent proposals, which
protect the trace properties of a single component against an adversarial
context, to ... | 1 | 0 | 0 | 0 | 0 | 0 |
Detecting Potential Local Adversarial Examples for Human-Interpretable Defense | Machine learning models are increasingly used in the industry to make
decisions such as credit insurance approval. Some people may be tempted to
manipulate specific variables, such as the age or the salary, in order to get
better chances of approval. In this ongoing work, we propose to discuss, with a
first propositi... | 0 | 0 | 0 | 1 | 0 | 0 |
The formation of magnetic depletions and flux annihilation due to reconnection in the heliosheath | The misalignment of the solar rotation axis and the magnetic axis of the Sun
produces a periodic reversal of the Parker spiral magnetic field and the
sectored solar wind. The compression of the sectors is expected to lead to
reconnection in the heliosheath (HS). We present particle-in-cell simulations
of the sectored... | 0 | 1 | 0 | 0 | 0 | 0 |
Optimization Based Methods for Partially Observed Chaotic Systems | In this paper we consider filtering and smoothing of partially observed
chaotic dynamical systems that are discretely observed, with an additive
Gaussian noise in the observation. These models are found in a wide variety of
real applications and include the Lorenz 96' model. In the context of a fixed
observation inte... | 0 | 0 | 1 | 1 | 0 | 0 |
LongHCPulse: Long Pulse Heat Capacity on a Quantum Design PPMS | This paper presents LongHCPulse: software which enables heat capacity to be
collected on a Quantum Design PPMS using a long-pulse method. This method,
wherein heat capacity is computed from the time derivative of sample
temperature over long (30 min) measurement times, is necessary for probing
first order transitions... | 0 | 1 | 0 | 0 | 0 | 0 |
Calculation of hyperfine structure constants of small molecules using Z-vector method in the relativistic coupled-cluster framework | The Z-vector method in the relativistic coupled-cluster framework is employed
to calculate the parallel and perpendicular components of the magnetic
hyperfine structure constant of a few small alkaline earth hydrides (BeH, MgH,
and CaH) and fluorides (MgF and CaF). We have compared our Z-vector results
with the value... | 0 | 1 | 0 | 0 | 0 | 0 |
Autoregressive Point-Processes as Latent State-Space Models: a Moment-Closure Approach to Fluctuations and Autocorrelations | Modeling and interpreting spike train data is a task of central importance in
computational neuroscience, with significant translational implications. Two
popular classes of data-driven models for this task are autoregressive Point
Process Generalized Linear models (PPGLM) and latent State-Space models (SSM)
with poi... | 0 | 0 | 0 | 0 | 1 | 0 |
Phase transitions of the dimerized Kane-Mele model with/without the strong interaction | The dimerized Kane-Mele model with/without the strong interaction is studied
using analytical methods. The boundary of the topological phase transition of
the model without strong interaction is obtained. Our results show that the
occurrence of the transition only depends on dimerized parameter . From the
one-particl... | 0 | 1 | 0 | 0 | 0 | 0 |
A Unified Approach to Interpreting Model Predictions | Understanding why a model makes a certain prediction can be as crucial as the
prediction's accuracy in many applications. However, the highest accuracy for
large modern datasets is often achieved by complex models that even experts
struggle to interpret, such as ensemble or deep learning models, creating a
tension be... | 1 | 0 | 0 | 1 | 0 | 0 |
Approximate Value Iteration for Risk-aware Markov Decision Processes | We consider large-scale Markov decision processes (MDPs) with a risk measure
of variability in cost, under the risk-aware MDPs paradigm. Previous studies
showed that risk-aware MDPs, based on a minimax approach to handling risk, can
be solved using dynamic programming for small to medium sized problems.
However, due ... | 1 | 0 | 1 | 0 | 0 | 0 |
Dataflow Matrix Machines as a Model of Computations with Linear Streams | We overview dataflow matrix machines as a Turing complete generalization of
recurrent neural networks and as a programming platform. We describe vector
space of finite prefix trees with numerical leaves which allows us to combine
expressive power of dataflow matrix machines with simplicity of traditional
recurrent ne... | 1 | 0 | 0 | 0 | 0 | 0 |
Attention-based Vocabulary Selection for NMT Decoding | Neural Machine Translation (NMT) models usually use large target vocabulary
sizes to capture most of the words in the target language. The vocabulary size
is a big factor when decoding new sentences as the final softmax layer
normalizes over all possible target words. To address this problem, it is
widely common to r... | 1 | 0 | 0 | 0 | 0 | 0 |
Reconstruction by Calibration over Tensors for Multi-Coil Multi-Acquisition Balanced SSFP Imaging | Purpose: To develop a rapid imaging framework for balanced steady-state free
precession (bSSFP) that jointly reconstructs undersampled data (by a factor of
R) across multiple coils (D) and multiple acquisitions (N). To devise a
multi-acquisition coil compression technique for improved computational
efficiency.
Method... | 0 | 1 | 0 | 0 | 0 | 0 |
Spectral Sparsification of Simplicial Complexes for Clustering and Label Propagation | As a generalization of the use of graphs to describe pairwise interactions,
simplicial complexes can be used to model higher-order interactions between
three or more objects in complex systems. There has been a recent surge in
activity for the development of data analysis methods applicable to simplicial
complexes, i... | 1 | 0 | 0 | 0 | 0 | 0 |
BHK mirror symmetry for K3 surfaces with non-symplectic automorphism | In this paper we consider the class of K3 surfaces defined as hypersurfaces
in weighted projective space, and admitting a non-symplectic automorphism of
non-prime order, excluding the orders 4, 8, and 12. We show that on these
surfaces the Berglund-Hübsch-Krawitz mirror construction and mirror symmetry
for lattice po... | 0 | 0 | 1 | 0 | 0 | 0 |
Automatic Rule Extraction from Long Short Term Memory Networks | Although deep learning models have proven effective at solving problems in
natural language processing, the mechanism by which they come to their
conclusions is often unclear. As a result, these models are generally treated
as black boxes, yielding no insight of the underlying learned patterns. In this
paper we consi... | 1 | 0 | 0 | 1 | 0 | 0 |
On the validity of parametric block correlation matrices with constant within and between group correlations | We consider the set Bp of parametric block correlation matrices with p blocks
of various (and possibly different) sizes, whose diagonal blocks are compound
symmetry (CS) correlation matrices and off-diagonal blocks are constant
matrices. Such matrices appear in probabilistic models on categorical data,
when the level... | 0 | 0 | 1 | 1 | 0 | 0 |
Two-dimensional off-lattice Boltzmann model for van der Waals fluids with variable temperature | We develop a two-dimensional Lattice Boltzmann model for liquid-vapour
systems with variable temperature. Our model is based on a single particle
distribution function expanded with respect to the full-range Hermite
polynomials. In order to ensure the recovery of the hydrodynamic equations for
thermal flows, we use a... | 0 | 1 | 0 | 0 | 0 | 0 |
Minimal coloring number on minimal diagrams for $\mathbb{Z}$-colorable links | It was shown that any $\mathbb{Z}$-colorable link has a diagram which admits
a non-trivial $\mathbb{Z}$-coloring with at most four colors. In this paper, we
consider minimal numbers of colors for non-trivial $\mathbb{Z}$-colorings on
minimal diagrams of $\mathbb{Z}$-colorable links. We show, for any positive
integer ... | 0 | 0 | 1 | 0 | 0 | 0 |
Automatic Gradient Boosting | Automatic machine learning performs predictive modeling with high performing
machine learning tools without human interference. This is achieved by making
machine learning applications parameter-free, i.e. only a dataset is provided
while the complete model selection and model building process is handled
internally t... | 0 | 0 | 0 | 1 | 0 | 0 |
Speeding up Memory-based Collaborative Filtering with Landmarks | Recommender systems play an important role in many scenarios where users are
overwhelmed with too many choices to make. In this context, Collaborative
Filtering (CF) arises by providing a simple and widely used approach for
personalized recommendation. Memory-based CF algorithms mostly rely on
similarities between pa... | 1 | 0 | 0 | 0 | 0 | 0 |
Spatio-temporal variations in the urban rhythm: the travelling waves of crime | In the last decades, the notion that cities are in a state of equilibrium
with a centralised organisation has given place to the viewpoint of cities in
disequilibrium and organised from bottom to up. In this perspective, cities are
evolving systems that exhibit emergent phenomena built from local decisions.
While urb... | 1 | 0 | 0 | 0 | 0 | 0 |
Smith-Purcell Radiation | The simplest model of the magnetized infinitely thin electron beam is
considered. The basic equations that describe the periodic solutions for a
self-consistent system of a couple of Maxwell equations and equations for the
medium are obtained.
| 0 | 1 | 0 | 0 | 0 | 0 |
Dynamics of Bose-Einstein condensate with account of pair correlations | The system of dynamic equations for Bose-Einstein condensate at zero
temperature with account of pair correlations is obtained. The spectrum of
small oscillations of the condensate in a spatially homogeneous state is
explored. It is shown that this spectrum has two branches: the sound wave
branch and branch with an e... | 0 | 1 | 0 | 0 | 0 | 0 |
On the generalization of Erdős-Vincze's theorem about the approximation of closed convex plane curves by polyellipses | A polyellipse is a curve in the Euclidean plane all of whose points have the
same sum of distances from finitely many given points (focuses). The classical
version of Erdős-Vincze's theorem states that regular triangles can not be
presented as the Hausdorff limit of polyellipses even if the number of the
focuses can ... | 0 | 0 | 1 | 0 | 0 | 0 |
Improved self-energy correction method for accurate and efficient band structure calculation | The LDA-1/2 method for self-energy correction is a powerful tool for
calculating accurate band structures of semiconductors, while keeping the
computational load as low as standard LDA. Nevertheless, controversies remain
regarding the arbitrariness of choice between (1/2)e and (1/4)e charge
stripping from the atoms i... | 0 | 1 | 0 | 0 | 0 | 0 |
Magnetic domains in thin ferromagnetic films with strong perpendicular anisotropy | We investigate the scaling of the ground state energy and optimal domain
patterns in thin ferromagnetic films with strong uniaxial anisotropy and the
easy axis perpendicular to the film plane. Starting from the full
three-dimensional micromagnetic model, we identify the critical scaling where
the transition from sing... | 0 | 1 | 1 | 0 | 0 | 0 |
Learning a Robust Society of Tracking Parts | Object tracking is an essential task in computer vision that has been studied
since the early days of the field. Being able to follow objects that undergo
different transformations in the video sequence, including changes in scale,
illumination, shape and occlusions, makes the problem extremely difficult. One
of the ... | 1 | 0 | 0 | 0 | 0 | 0 |
A direct proof of dimerization in a family of SU(n)-invariant quantum spin chains | We study the family of spin-S quantum spin chains with a nearest neighbor
interaction given by the negative of the singlet projection operator. Using a
random loop representation of the partition function in the limit of zero
temperature and standard techniques of classical statistical mechanics, we
prove dimerizatio... | 0 | 1 | 1 | 0 | 0 | 0 |
An accelerated splitting algorithm for radio-interferometric imaging: when natural and uniform weighting meet | Next generation radio-interferometers, like the Square Kilometre Array, will
acquire tremendous amounts of data with the goal of improving the size and
sensitivity of the reconstructed images by orders of magnitude. The efficient
processing of large-scale data sets is of great importance. We propose an
acceleration s... | 0 | 1 | 0 | 0 | 0 | 0 |
BaFe2(As1-xPx)2 (x = 0.22-0.42) thin films grown on practical metal-tape substrates and their critical current densities | We optimized the substrate temperature (Ts) and phosphorus concentration (x)
of BaFe2(As1-xPx)2 films on practical metal-tape substrates for pulsed laser
deposition from the viewpoints of crystallinity, superconductor critical
temperature (Tc), and critical current density (Jc). It was found that the
optimum Ts and x... | 0 | 1 | 0 | 0 | 0 | 0 |
How does the accuracy of interatomic force constants affect the prediction of lattice thermal conductivity | Solving Peierls-Boltzmann transport equation with interatomic force constants
(IFCs) from first-principles calculations has been a widely used method for
predicting lattice thermal conductivity of three-dimensional materials. With
the increasing research interests in two-dimensional materials, this method is
directly... | 0 | 1 | 0 | 0 | 0 | 0 |
Mesh-to-raster based non-rigid registration of multi-modal images | Region of interest (ROI) alignment in medical images plays a crucial role in
diagnostics, procedure planning, treatment, and follow-up. Frequently, a model
is represented as triangulated mesh while the patient data is provided from CAT
scanners as pixel or voxel data. Previously, we presented a 2D method for
curve-to... | 1 | 0 | 0 | 0 | 0 | 0 |
Vision-based Obstacle Removal System for Autonomous Ground Vehicles Using a Robotic Arm | Over the past few years, the use of camera-equipped robotic platforms for
data collection and visually monitoring applications has exponentially grown.
Cluttered construction sites with many objects (e.g., bricks, pipes, etc.) on
the ground are challenging environments for a mobile unmanned ground vehicle
(UGV) to na... | 1 | 0 | 0 | 0 | 0 | 0 |
Polyatomic trilobite Rydberg molecules in a dense random gas | Trilobites are exotic giant dimers with enormous dipole moments. They consist
of a Rydberg atom and a distant ground-state atom bound together by short-range
electron-neutral attraction. We show that highly polar, polyatomic trilobite
states unexpectedly persist and thrive in a dense ultracold gas of randomly
positio... | 0 | 1 | 0 | 0 | 0 | 0 |
Does warm debris dust stem from asteroid belts? | Many debris discs reveal a two-component structure, with a cold outer and a
warm inner component. While the former are likely massive analogues of the
Kuiper belt, the origin of the latter is still a matter of debate. In this work
we investigate whether the warm dust may be a signature of asteroid belt
analogues. In ... | 0 | 1 | 0 | 0 | 0 | 0 |
The Multiple Roots Phenomenon in Maximum Likelihood Estimation for Factor Analysis | Multiple root estimation problems in statistical inference arise in many
contexts in the literature. In the context of maximum likelihood estimation,
the existence of multiple roots causes uncertainty in the computation of
maximum likelihood estimators using hill-climbing algorithms, and consequent
difficulties in th... | 0 | 0 | 1 | 1 | 0 | 0 |
Group-like projections for locally compact quantum groups | Let $\mathbb{G}$ be a locally compact quantum group. We give a 1-1
correspondence between group-like projections in $L^\infty(\mathbb{G})$
preserved by the scaling group and idempotent states on the dual quantum group
$\widehat{\mathbb{G}}$. As a byproduct we give a simple proof that normal
integrable coideals in $L^... | 0 | 0 | 1 | 0 | 0 | 0 |
Exciton-phonon interaction in the strong coupling regime in hexagonal boron nitride | The temperature-dependent optical response of excitons in semiconductors is
controlled by the exciton-phonon interaction. When the exciton-lattice coupling
is weak, the excitonic line has a Lorentzian profile resulting from motional
narrowing, with a width increasing linearly with the lattice temperature $T$.
In cont... | 0 | 1 | 0 | 0 | 0 | 0 |
Exact lowest-Landau-level solutions for vortex precession in Bose-Einstein condensates | The Lowest Landau Level (LLL) equation emerges as an accurate approximation
for a class of dynamical regimes of Bose-Einstein Condensates (BEC) in
two-dimensional isotropic harmonic traps in the limit of weak interactions.
Building on recent developments in the field of spatially confined extended
Hamiltonian systems... | 0 | 1 | 1 | 0 | 0 | 0 |
Predicting Out-of-View Feature Points for Model-Based Camera Pose Estimation | In this work we present a novel framework that uses deep learning to predict
object feature points that are out-of-view in the input image. This system was
developed with the application of model-based tracking in mind, particularly in
the case of autonomous inspection robots, where only partial views of the
object a... | 1 | 0 | 0 | 0 | 0 | 0 |
A Simple PTAS for the Dual Bin Packing Problem and Advice Complexity of Its Online Version | Recently, Renault (2016) studied the dual bin packing problem in the
per-request advice model of online algorithms. He showed that given
$O(1/\epsilon)$ advice bits for each input item allows approximating the dual
bin packing problem online to within a factor of $1+\epsilon$. Renault asked
about the advice complexit... | 1 | 0 | 0 | 0 | 0 | 0 |
Constructive Néron Desingularization of algebras with big smooth locus | An algorithmic proof of the General Néron Desingularization theorem and its
uniform version is given for morphisms with big smooth locus. This generalizes
the results for the one-dimensional case.
| 0 | 0 | 1 | 0 | 0 | 0 |
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians | We study the problem of list-decodable Gaussian mean estimation and the
related problem of learning mixtures of separated spherical Gaussians. We
develop a set of techniques that yield new efficient algorithms with
significantly improved guarantees for these problems.
{\bf List-Decodable Mean Estimation.} Fix any $d ... | 1 | 0 | 1 | 1 | 0 | 0 |
Complexity Dichotomies for the Minimum F-Overlay Problem | For a (possibly infinite) fixed family of graphs F, we say that a graph G
overlays F on a hypergraph H if V(H) is equal to V(G) and the subgraph of G
induced by every hyperedge of H contains some member of F as a spanning
subgraph.While it is easy to see that the complete graph on |V(H)| overlays F
on a hypergraph H ... | 1 | 0 | 0 | 0 | 0 | 0 |
Asymptotic behavior of 3-D stochastic primitive equations of large-scale moist atmosphere with additive noise | Using a new and general method, we prove the existence of random attractor
for the three dimensional stochastic primitive equations defined on a manifold
$\D\subset\R^3$ improving the existence of weak attractor for the deterministic
model. Furthermore, we show the existence of the invariant measure.
| 0 | 0 | 1 | 0 | 0 | 0 |
Analytical Approach for Calculating Chemotaxis Sensitivity Function | We consider the chemotaxis problem for a one-dimensional system. To analyze
the interaction of bacteria and attractant we use a modified Keller-Segel model
which accounts attractant absorption. To describe the system we use the
chemotaxis sensitivity function, which characterizes nonuniformity of bacteria
distributio... | 0 | 1 | 0 | 0 | 0 | 0 |
Copy the dynamics using a learning machine | Is it possible to generally construct a dynamical system to simulate a black
system without recovering the equations of motion of the latter? Here we show
that this goal can be approached by a learning machine. Trained by a set of
input-output responses or a segment of time series of a black system, a
learning machin... | 0 | 1 | 1 | 1 | 0 | 0 |
Algebraic Bethe ansatz for the XXZ Heisenberg spin chain with triangular boundaries and the corresponding Gaudin model | The implementation of the algebraic Bethe ansatz for the XXZ Heisenberg spin
chain, of arbitrary spin-$s$, in the case, when both reflection matrices have
the upper-triangular form is analyzed. The general form of the Bethe vectors is
studied. In the particular form, Bethe vectors admit the recurrent procedure,
with ... | 0 | 1 | 0 | 0 | 0 | 0 |
Using Programmable Graphene Channels as Weights in Spin-Diffusive Neuromorphic Computing | A graphene-based spin-diffusive (GrSD) neural network is presented in this
work that takes advantage of the locally tunable spin transport of graphene and
the non-volatility of nanomagnets. By using electrostatically gated graphene as
spintronic synapses, a weighted summation operation can be performed in the
spin do... | 0 | 1 | 0 | 0 | 0 | 0 |
Construction and Encoding of QC-LDPC Codes Using Group Rings | Quasi-cyclic (QC) low-density parity-check (LDPC) codes which are known as
QC-LDPC codes, have many applications due to their simple encoding
implementation by means of cyclic shift registers. In this paper, we construct
QC-LDPC codes from group rings. A group ring is a free module (at the same time
a ring) construct... | 1 | 0 | 1 | 0 | 0 | 0 |
Imaginary time, shredded propagator method for large-scale GW calculations | The GW method is a many-body approach capable of providing quasiparticle
bands for realistic systems spanning physics, chemistry, and materials science.
Despite its power, GW is not routinely applied to large complex materials due
to its computational expense. We perform an exact recasting of the GW
polarizability an... | 0 | 1 | 0 | 0 | 0 | 0 |
A time change strategy to model reporting delay dynamics in claims reserving | This paper considers the problem of predicting the number of claims that have
already incurred in past exposure years, but which have not yet been reported
to the insurer. This is an important building block in the risk management
strategy of an insurer since the company should be able to fulfill its
liabilities with... | 0 | 0 | 0 | 0 | 0 | 1 |
Solving Parameter Estimation Problems with Discrete Adjoint Exponential Integrators | The solution of inverse problems in a variational setting finds best
estimates of the model parameters by minimizing a cost function that penalizes
the mismatch between model outputs and observations. The gradients required by
the numerical optimization process are computed using adjoint models.
Exponential integrato... | 1 | 0 | 1 | 0 | 0 | 0 |
Induced and intrinsic Hashiguchi connections on Finsler submanifolds | We study the geometry of Finsler submanifolds using the pulled-back approach.
We define the Finsler normal pulled-back bundle and obtain the induced
geometric objects, namely, induced pullback Finsler connection, normal pullback
Finsler connection, second fundamental form and shape operator. Under a certain
condition... | 0 | 0 | 1 | 0 | 0 | 0 |
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation | PET image reconstruction is challenging due to the ill-poseness of the
inverse problem and limited number of detected photons. Recently deep neural
networks have been widely and successfully used in computer vision tasks and
attracted growing interests in medical imaging. In this work, we trained a deep
residual conv... | 0 | 1 | 0 | 1 | 0 | 0 |
Wave-Shaped Round Functions and Primitive Groups | Round functions used as building blocks for iterated block ciphers, both in
the case of Substitution-Permutation Networks and Feistel Networks, are often
obtained as the composition of different layers which provide confusion and
diffusion, and key additions. The bijectivity of any encryption function,
crucial in ord... | 1 | 0 | 1 | 0 | 0 | 0 |
Clean Floquet Time Crystals: Models and Realizations in Cold Atoms | Time crystals, a phase showing spontaneous breaking of time-translation
symmetry, has been an intriguing subject for systems far away from equilibrium.
Recent experiments found such a phase both in the presence and absence of
localization, while in theories localization by disorder is usually assumed a
priori. In thi... | 0 | 1 | 0 | 0 | 0 | 0 |
Fractional Derivatives of Convex Lyapunov Functions and Control Problems in Fractional Order Systems | The paper is devoted to the development of control procedures with a guide
for conflict-controlled dynamical systems described by ordinary fractional
differential equations with the Caputo derivative of an order $\alpha \in (0,
1).$ For the case when the guide is in a certain sense a copy of the system, a
mutual aimi... | 0 | 0 | 1 | 0 | 0 | 0 |
The role of tachysterol in vitamin D photosynthesis - A non-adiabatic molecular dynamics study | To investigate the role of tachysterol in the photophysical/chemical
regulation of vitamin D photosynthesis, we studied its electronic absorption
properties and excited state dynamics using time-dependent density functional
theory (TDDFT), coupled cluster theory (CC2), and non-adiabatic molecular
dynamics. In excelle... | 0 | 1 | 0 | 0 | 0 | 0 |
A Web of Hate: Tackling Hateful Speech in Online Social Spaces | Online social platforms are beset with hateful speech - content that
expresses hatred for a person or group of people. Such content can frighten,
intimidate, or silence platform users, and some of it can inspire other users
to commit violence. Despite widespread recognition of the problems posed by
such content, reli... | 1 | 0 | 0 | 0 | 0 | 0 |
Lacunary Eta-quotients Modulo Powers of Primes | An integral power series is called lacunary modulo $M$ if almost all of its
coefficients are divisible by $M$. Motivated by the parity problem for the
partition function, $p(n)$, Gordon and Ono studied the generating functions for
$t$-regular partitions, and determined conditions for when these functions are
lacunary... | 0 | 0 | 1 | 0 | 0 | 0 |
An elementary approach to sofic groupoids | We describe sofic groupoids in elementary terms and prove several permanence
properties for sofcity. We show that sofcity can be determined in terms of the
full group alone, answering a question by Conley, Kechris and Tucker-Drob.
| 0 | 0 | 1 | 0 | 0 | 0 |
A New Combination of Message Passing Techniques for Receiver Design in MIMO-OFDM Systems | In this paper, we propose a new combined message passing algorithm which
allows belief propagation (BP) and mean filed (MF) applied on a same factor
node, so that MF can be applied to hard constraint factors. Based on the
proposed message passing algorithm, a iterative receiver is designed for
MIMO-OFDM systems. Both... | 1 | 0 | 0 | 0 | 0 | 0 |
Modern Python at the Large Synoptic Survey Telescope | The LSST software systems make extensive use of Python, with almost all of it
initially being developed solely in Python 2. Since LSST will be commissioned
when Python 2 is end-of-lifed it is critical that we have all our code support
Python 3 before commissioning begins. Over the past year we have made
significant p... | 0 | 1 | 0 | 0 | 0 | 0 |
Matrix Completion Methods for Causal Panel Data Models | In this paper we study methods for estimating causal effects in settings with
panel data, where a subset of units are exposed to a treatment during a subset
of periods, and the goal is estimating counterfactual (untreated) outcomes for
the treated unit/period combinations. We develop a class of matrix completion
esti... | 0 | 0 | 1 | 0 | 0 | 0 |
Singular surfaces of revolution with prescribed unbounded mean curvature | We give an explicit formula for singular surfaces of revolution with
prescribed unbounded mean curvature. Using it, we give conditions for
singularities of that surfaces. Periodicity of that surface is also discussed.
| 0 | 0 | 1 | 0 | 0 | 0 |
A Possible Mechanism for Driving Oscillations in Hot Giant Planets | The $\kappa$-mechanism has been successful in explaining the origin of
observed oscillations of many types of "classical" pulsating variable stars.
Here we examine quantitatively if that same process is prominent enough to
excite the potential global oscillations within Jupiter, whose energy flux is
powered by gravit... | 0 | 1 | 0 | 0 | 0 | 0 |
Cubic Fields: A Primer | We classify all cubic extensions of any field of arbitrary characteristic, up
to isomorphism, via an explicit construction involving three fundamental types
of cubic forms. We deduce a classification of any Galois cubic extension of a
field. The splitting and ramification of places in a separable cubic extension
of a... | 0 | 0 | 1 | 0 | 0 | 0 |
The GBT Beam Shape at 109 GHz | With the installation of the Argus 16-pixel receiver covering 75-115 GHz on
the Green Bank Telescope (GBT), it is now possible to characterize the antenna
beam at very high frequencies, where the use of the active surface and
out-of-focus holography are critical to the telescope's performance. A recent
measurement in... | 0 | 1 | 0 | 0 | 0 | 0 |
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC | It is challenging to develop stochastic gradient based scalable inference for
deep discrete latent variable models (LVMs), due to the difficulties in not
only computing the gradients, but also adapting the step sizes to different
latent factors and hidden layers. For the Poisson gamma belief network (PGBN),
a recentl... | 1 | 0 | 0 | 1 | 0 | 0 |
Bridging Finite and Super Population Causal Inference | There are two general views in causal analysis of experimental data: the
super population view that the units are an independent sample from some
hypothetical infinite populations, and the finite population view that the
potential outcomes of the experimental units are fixed and the randomness comes
solely from the p... | 0 | 0 | 1 | 1 | 0 | 0 |
Deep Reinforcement Learning that Matters | In recent years, significant progress has been made in solving challenging
problems across various domains using deep reinforcement learning (RL).
Reproducing existing work and accurately judging the improvements offered by
novel methods is vital to sustaining this progress. Unfortunately, reproducing
results for sta... | 1 | 0 | 0 | 1 | 0 | 0 |
Testing Docker Performance for HPC Applications | The main goal for this article is to compare performance penalties when using
KVM virtualization and Docker containers for creating isolated environments for
HPC applications. The article provides both data obtained using commonly
accepted synthetic tests (High Performance Linpack) and real life applications
(OpenFOA... | 1 | 0 | 0 | 0 | 0 | 0 |
Can Neural Machine Translation be Improved with User Feedback? | We present the first real-world application of methods for improving neural
machine translation (NMT) with human reinforcement, based on explicit and
implicit user feedback collected on the eBay e-commerce platform. Previous work
has been confined to simulation experiments, whereas in this paper we work with
real log... | 0 | 0 | 0 | 1 | 0 | 0 |
A new concept multi-stage Zeeman decelerator: experimental implementation | We demonstrate the successful experimental implementation of a multi-stage
Zeeman decelerator utilizing the new concept described in the accompanying
paper. The decelerator consists of an array of 25 hexapoles and 24 solenoids.
The performance of the decelerator in acceleration, deceleration and guiding
modes is char... | 0 | 1 | 0 | 0 | 0 | 0 |
Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training | Simulation-based training (SBT) is gaining popularity as a low-cost and
convenient training technique in a vast range of applications. However, for a
SBT platform to be fully utilized as an effective training tool, it is
essential that feedback on performance is provided automatically in real-time
during training. It... | 1 | 0 | 0 | 1 | 0 | 0 |
Models of the strongly lensed quasar DES J0408-5354 | We present gravitational lens models of the multiply imaged quasar DES
J0408-5354, recently discovered in the Dark Energy Survey (DES) footprint, with
the aim of interpreting its remarkable quad-like configuration. We first model
the DES single-epoch $grizY$ images as a superposition of a lens galaxy and
four point-l... | 0 | 1 | 0 | 0 | 0 | 0 |
Efficient Test-based Variable Selection for High-dimensional Linear Models | Variable selection plays a fundamental role in high-dimensional data
analysis. Various methods have been developed for variable selection in recent
years. Well-known examples are forward stepwise regression (FSR) and least
angle regression (LARS), among others. These methods typically add variables
into the model one... | 0 | 0 | 0 | 1 | 0 | 0 |
Star Cluster Formation from Turbulent Clumps. I. The Fast Formation Limit | We investigate the formation and early evolution of star clusters assuming
that they form from a turbulent starless clump of given mass bounded inside a
parent self-gravitating molecular cloud characterized by a particular mass
surface density. As a first step we assume instantaneous star cluster formation
and gas ex... | 0 | 1 | 0 | 0 | 0 | 0 |
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series | Sleep stage classification constitutes an important preliminary exam in the
diagnosis of sleep disorders. It is traditionally performed by a sleep expert
who assigns to each 30s of signal a sleep stage, based on the visual inspection
of signals such as electroencephalograms (EEG), electrooculograms (EOG),
electrocard... | 0 | 0 | 0 | 1 | 0 | 0 |
An anti-incursion algorithm for unknown probabilistic adversaries on connected graphs | A gambler moves on the vertices $1, \ldots, n$ of a graph using the
probability distribution $p_{1}, \ldots, p_{n}$. A cop pursues the gambler on
the graph, only being able to move between adjacent vertices. What is the
expected number of moves that the gambler can make until the cop catches them?
Komarov and Winkler... | 1 | 0 | 1 | 0 | 0 | 0 |
Virtual Breakpoints for x86/64 | Efficient, reliable trapping of execution in a program at the desired
location is a hot area of research for security professionals. The progression
of debuggers and malware is akin to a game of cat and mouse - each are
constantly in a state of trying to thwart one another. At the core of most
efficient debuggers tod... | 1 | 0 | 0 | 0 | 0 | 0 |
Accurate Multi-physics Numerical Analysis of Particle Preconcentration Based on Ion Concentration Polarization | This paper studies mechanism of preconcentration of charged particles in a
straight micro-channel embedded with permselective membranes, by numerically
solving coupled transport equations of ions, charged particles and solvent
fluid without any simplifying assumptions. It is demonstrated that trapping and
preconcentr... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning to Embed Words in Context for Syntactic Tasks | We present models for embedding words in the context of surrounding words.
Such models, which we refer to as token embeddings, represent the
characteristics of a word that are specific to a given context, such as word
sense, syntactic category, and semantic role. We explore simple, efficient
token embedding models ba... | 1 | 0 | 0 | 0 | 0 | 0 |
Modeling Impact of Human Errors on the Data Unavailability and Data Loss of Storage Systems | Data storage systems and their availability play a crucial role in
contemporary datacenters. Despite using mechanisms such as automatic fail-over
in datacenters, the role of human agents and consequently their destructive
errors is inevitable. Due to very large number of disk drives used in exascale
datacenters and t... | 1 | 0 | 0 | 0 | 0 | 0 |
Gaussian and Sparse Processes Are Limits of Generalized Poisson Processes | The theory of sparse stochastic processes offers a broad class of statistical
models to study signals. In this framework, signals are represented as
realizations of random processes that are solution of linear stochastic
differential equations driven by white Lévy noises. Among these processes,
generalized Poisson pr... | 1 | 0 | 1 | 0 | 0 | 0 |
Survival time of Princess Kaguya in an air-tight bamboo chamber | Princess Kaguya is a heroine of a famous folk tale, as every Japanese knows.
She was assumed to be confined in a bamboo cavity with cylindrical shape, and
then fortuitously discovered by an elderly man in the forest. Here, we pose a
question as to how long she could have survived in an enclosed space such as
the bamb... | 0 | 1 | 0 | 0 | 0 | 0 |
Descriptor System Tools (DSTOOLS) User's Guide | The Descriptor System Tools (DSTOOLS) is a collection of MATLAB functions for
the operation on and manipulation of rational transfer function matrices via
their descriptor system realizations. The DSTOOLS collection relies on the
Control System Toolbox and several mex-functions based on the Systems and
Control Librar... | 1 | 0 | 0 | 0 | 0 | 0 |
Laplacian Prior Variational Automatic Relevance Determination for Transmission Tomography | In the classic sparsity-driven problems, the fundamental L-1 penalty method
has been shown to have good performance in reconstructing signals for a wide
range of problems. However this performance relies on a good choice of penalty
weight which is often found from empirical experiments. We propose an algorithm
called... | 0 | 0 | 0 | 1 | 0 | 0 |
Mitigating Confirmation Bias on Twitter by Recommending Opposing Views | In this work, we propose a content-based recommendation approach to increase
exposure to opposing beliefs and opinions. Our aim is to help provide users
with more diverse viewpoints on issues, which are discussed in partisan groups
from different perspectives. Since due to the backfire effect, people's
original belie... | 1 | 0 | 0 | 0 | 0 | 0 |
First-principles based Landau-Devonshire potential for BiFeO$_3$ | The work describes a first-principles-based computational strategy for
studying structural phase transitions, and in particular, for determination of
the so-called Landau-Devonshire potential - the classical zero-temperature
limit of the Gibbs energy, expanded in terms of order parameters. It exploits
the configurati... | 0 | 1 | 0 | 0 | 0 | 0 |
A topological characterization of the omega-limit sets of analytic vector fields on open subsets of the sphere | In [15], V. Jimenez and J. Llibre characterized, up to homeomorphism, the
omega limit sets of analytic vector fields on the sphere and the projective
plane. The authors also studied the same problem for open subsets of these
surfaces.
Unfortunately, an essential lemma in their programme for general surfaces has
a gap... | 0 | 0 | 1 | 0 | 0 | 0 |
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