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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Orbifold equivalence: structure and new examples | Orbifold equivalence is a notion of symmetry that does not rely on group
actions. Among other applications, it leads to surprising connections between
hitherto unrelated singularities. While the concept can be defined in a very
general category-theoretic language, we focus on the most explicit setting in
terms of mat... | 0 | 0 | 1 | 0 | 0 | 0 |
Efficient Attention using a Fixed-Size Memory Representation | The standard content-based attention mechanism typically used in
sequence-to-sequence models is computationally expensive as it requires the
comparison of large encoder and decoder states at each time step. In this work,
we propose an alternative attention mechanism based on a fixed size memory
representation that is... | 1 | 0 | 0 | 0 | 0 | 0 |
Multiplicities of bifurcation sets of Pham singularities | The local multiplicities of the Maxwell sets in the spaces of versal
deformations of Pham holomorphic function singularities are calculated. A
similar calculation for some other bifurcation sets (generalized Stokes' sets)
defined by more complicated relations between the critical values is given.
Aplications to the c... | 0 | 0 | 1 | 0 | 0 | 0 |
Fast and scalable Gaussian process modeling with applications to astronomical time series | The growing field of large-scale time domain astronomy requires methods for
probabilistic data analysis that are computationally tractable, even with large
datasets. Gaussian Processes are a popular class of models used for this
purpose but, since the computational cost scales, in general, as the cube of
the number o... | 0 | 1 | 0 | 1 | 0 | 0 |
Toward perfect reads: self-correction of short reads via mapping on de Bruijn graphs | Motivations Short-read accuracy is important for downstream analyses such as
genome assembly and hybrid long-read correction. Despite much work on
short-read correction, present-day correctors either do not scale well on large
data sets or consider reads as mere suites of k-mers, without taking into
account their ful... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning | Patient pain can be detected highly reliably from facial expressions using a
set of facial muscle-based action units (AUs) defined by the Facial Action
Coding System (FACS). A key characteristic of facial expression of pain is the
simultaneous occurrence of pain-related AU combinations, whose automated
detection woul... | 1 | 0 | 0 | 1 | 0 | 0 |
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects | Tracking humans that are interacting with the other subjects or environment
remains unsolved in visual tracking, because the visibility of the human of
interests in videos is unknown and might vary over time. In particular, it is
still difficult for state-of-the-art human trackers to recover complete human
trajectori... | 1 | 0 | 0 | 0 | 0 | 0 |
Exact Affine Counter Automata | We introduce an affine generalization of counter automata, and analyze their
ability as well as affine finite automata. Our contributions are as follows. We
show that there is a language that can be recognized by exact realtime affine
counter automata but by neither 1-way deterministic pushdown automata nor
realtime ... | 1 | 0 | 0 | 0 | 0 | 0 |
Preorder characterizations of lower separation axioms and their applications to foliations and flows | In this paper, we characterize several lower separation axioms $C_0, C_D$,
$C_R$, $C_N$, $\lambda$-space, nested, $S_{YS}$, $S_{YY}$, $S_{YS}$, and
$S_{\delta}$ using pre-order. To analyze topological properties of (resp.
dynamical systems) foliations, we introduce notions of topology (resp.
dynamical systems) for fo... | 0 | 0 | 1 | 0 | 0 | 0 |
Convergence of row sequences of simultaneous Padé-Faber approximants | We consider row sequences of vector valued Padé-Faber approximants
(simultaneous Padé-Faber approximants) and prove a Montessus de Ballore
type theorem.
| 0 | 0 | 1 | 0 | 0 | 0 |
A Deep Convolutional Neural Network for Background Subtraction | In this work, we present a novel background subtraction system that uses a
deep Convolutional Neural Network (CNN) to perform the segmentation. With this
approach, feature engineering and parameter tuning become unnecessary since the
network parameters can be learned from data by training a single CNN that can
handle... | 1 | 0 | 0 | 0 | 0 | 0 |
A second main theorem for holomorphic curve intersecting hypersurfaces | In this paper, we establish a second main theorem for holomorphic curve
intersecting hypersurfaces in general position in projective space with level
of truncation. As an application, we reduce the number hypersurfaces in
uniqueness problem for holomorphic curve of authors before.
| 0 | 0 | 1 | 0 | 0 | 0 |
Partially hyperbolic diffeomorphisms with one-dimensional neutral center on 3-manifolds | We prove that for any partially hyperbolic diffeomorphism with one
dimensional neutral center on a 3-manifold, the center stable and center
unstable foliations are complete; moreover, each leaf of center stable and
center unstable foliations is a cylinder, a M$\ddot{o}$bius band or a plane.
Further properties of the ... | 0 | 0 | 1 | 0 | 0 | 0 |
Audio-Visual Speech Enhancement based on Multimodal Deep Convolutional Neural Network | Speech enhancement (SE) aims to reduce noise in speech signals. Most SE
techniques focus on addressing audio information only. In this work, inspired
by multimodal learning, which utilizes data from different modalities, and the
recent success of convolutional neural networks (CNNs) in SE, we propose an
audio-visual ... | 1 | 0 | 0 | 1 | 0 | 0 |
Finding structure in the dark: coupled dark energy, weak lensing, and the mildly nonlinear regime | We reexamine interactions between the dark sectors of cosmology, with a focus
on robust constraints that can be obtained using only mildly nonlinear scales.
While it is well known that couplings between dark matter and dark energy can
be constrained to the percent level when including the full range of scales
probed ... | 0 | 1 | 0 | 0 | 0 | 0 |
Semantic Autoencoder for Zero-Shot Learning | Existing zero-shot learning (ZSL) models typically learn a projection
function from a feature space to a semantic embedding space (e.g.~attribute
space). However, such a projection function is only concerned with predicting
the training seen class semantic representation (e.g.~attribute prediction) or
classification.... | 1 | 0 | 0 | 0 | 0 | 0 |
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning | We methodologically address the problem of Q-value overestimation in deep
reinforcement learning to handle high-dimensional state spaces efficiently. By
adapting concepts from information theory, we introduce an intrinsic penalty
signal encouraging reduced Q-value estimates. The resultant algorithm
encompasses a wide... | 1 | 0 | 0 | 1 | 0 | 0 |
Noise-synchronizability of opinion dynamics | With the analysis of noise-induced synchronization of opinion dynamics with
bounded confidence (BC), a natural and fundamental question is what opinion
structures can be synchronized by noise. In the traditional Hegselmann-Krause
(HK) model, each agent examines the opinion values of all the other ones and
then choose... | 1 | 0 | 0 | 0 | 0 | 0 |
Conformer-selection by matter-wave interference | We establish that matter-wave interference at near-resonant ultraviolet
optical gratings can be used to spatially separate individual conformers of
complex molecules. Our calculations show that the conformational purity of the
prepared beam can be close to 100% and that all molecules remain in their
electronic ground... | 0 | 1 | 0 | 0 | 0 | 0 |
Building a Neural Machine Translation System Using Only Synthetic Parallel Data | Recent works have shown that synthetic parallel data automatically generated
by translation models can be effective for various neural machine translation
(NMT) issues. In this study, we build NMT systems using only synthetic parallel
data. As an efficient alternative to real parallel data, we also present a new
type... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning to Predict Indoor Illumination from a Single Image | We propose an automatic method to infer high dynamic range illumination from
a single, limited field-of-view, low dynamic range photograph of an indoor
scene. In contrast to previous work that relies on specialized image capture,
user input, and/or simple scene models, we train an end-to-end deep neural
network that ... | 1 | 0 | 0 | 1 | 0 | 0 |
$H^\infty$-calculus for semigroup generators on BMO | We prove that the negative infinitesimal generator $L$ of a semigroup of
positive contractions on $L^\infty$ has a bounded $H^\infty(S_\eta^0)$-calculus
on BMO$(\sqrt L)$ for any angle $\eta>\pi/2$, provided the semigroup satisfies
Bakry-Emry's $\Gamma_2 $ criterion. Our arguments only rely on the properties
of the u... | 0 | 0 | 1 | 0 | 0 | 0 |
A Bayesian Game without epsilon equilibria | We present a three player Bayesian game for which there is no epsilon
equilibria in Borel measurable strategies for small enough epsilon, however
there are non-measurable equilibria.
| 1 | 0 | 1 | 0 | 0 | 0 |
Towards Robust Interpretability with Self-Explaining Neural Networks | Most recent work on interpretability of complex machine learning models has
focused on estimating $\textit{a posteriori}$ explanations for previously
trained models around specific predictions. $\textit{Self-explaining}$ models
where interpretability plays a key role already during learning have received
much less at... | 0 | 0 | 0 | 1 | 0 | 0 |
Deep Learning Scaling is Predictable, Empirically | Deep learning (DL) creates impactful advances following a virtuous recipe:
model architecture search, creating large training data sets, and scaling
computation. It is widely believed that growing training sets and models should
improve accuracy and result in better products. As DL application domains grow,
we would ... | 1 | 0 | 0 | 1 | 0 | 0 |
Coupled Self-Organized Hydrodynamics and Stokes models for suspensions of active particles | We derive macroscopic dynamics for self-propelled particles in a fluid. The
starting point is a coupled Vicsek-Stokes system. The Vicsek model describes
self-propelled agents interacting through alignment. It provides a
phenomenological description of hydrodynamic interactions between agents at
high density. Stokes e... | 0 | 1 | 1 | 0 | 0 | 0 |
Tunable Spin-Orbit Torques in Cu-Ta Binary Alloy Heterostructures | The spin Hall effect (SHE) is found to be strong in heavy transition metals
(HM), such as Ta and W, in their amorphous and/or high resistivity form. In
this work, we show that by employing a Cu-Ta binary alloy as buffer layer in an
amorphous Cu$_{100-x}$Ta$_{x}$-based magnetic heterostructure with
perpendicular magne... | 0 | 1 | 0 | 0 | 0 | 0 |
On Properties of Nests: Some Answers and Questions | By considering nests on a given space, we explore order-theoretical and
topological properties that are closely related to the structure of a nest. In
particular, we see how subbases given by two dual nests can be an indicator of
how close or far are the properties of the space from the structure of a
linearly ordere... | 0 | 0 | 1 | 0 | 0 | 0 |
Differential Characters of Drinfeld Modules and de Rham Cohomology | We introduce differential characters of Drinfeld modules. These are
function-field analogues of Buium's p-adic differential characters of elliptic
curves and of Manin's differential characters of elliptic curves in
differential algebra, both of which have had notable Diophantine applications.
We determine the structu... | 0 | 0 | 1 | 0 | 0 | 0 |
Strong submeasures and several applications | A strong submeasure on a compact metric space X is a sub-linear and bounded
operator on the space of continuous functions on X. A strong submeasure is
positive if it is non-decreasing. By Hahn-Banach theorem, a positive strong
submeasure is the supremum of a non-empty collection of measures whose masses
are uniformly... | 0 | 0 | 1 | 0 | 0 | 0 |
Understanding Career Progression in Baseball Through Machine Learning | Professional baseball players are increasingly guaranteed expensive long-term
contracts, with over 70 deals signed in excess of \$90 million, mostly in the
last decade. These are substantial sums compared to a typical franchise
valuation of \$1-2 billion. Hence, the players to whom a team chooses to give
such a contr... | 1 | 0 | 0 | 1 | 0 | 0 |
Testing the validity of the local and global GKLS master equations on an exactly solvable model | When deriving a master equation for a multipartite weakly-interacting open
quantum systems, dissipation is often addressed \textit{locally} on each
component, i.e. ignoring the coherent couplings, which are later added `by
hand'. Although simple, the resulting local master equation (LME) is known to
be thermodynamica... | 0 | 1 | 0 | 0 | 0 | 0 |
Unsupervised Contact Learning for Humanoid Estimation and Control | This work presents a method for contact state estimation using fuzzy
clustering to learn contact probability for full, six-dimensional humanoid
contacts. The data required for training is solely from proprioceptive sensors
- endeffector contact wrench sensors and inertial measurement units (IMUs) -
and the method is ... | 1 | 0 | 0 | 0 | 0 | 0 |
Learning to Sequence Robot Behaviors for Visual Navigation | Recent literature in the robotics community has focused on learning robot
behaviors that abstract out lower-level details of robot control. To fully
leverage the efficacy of such behaviors, it is necessary to select and sequence
them to achieve a given task. In this paper, we present an approach to both
learn and seq... | 1 | 0 | 0 | 0 | 0 | 0 |
Evaluation complexity bounds for smooth constrained nonlinear optimisation using scaled KKT conditions, high-order models and the criticality measure $χ$ | Evaluation complexity for convexly constrained optimization is considered and
it is shown first that the complexity bound of $O(\epsilon^{-3/2})$ proved by
Cartis, Gould and Toint (IMAJNA 32(4) 2012, pp.1662-1695) for computing an
$\epsilon$-approximate first-order critical point can be obtained under
significantly w... | 1 | 0 | 1 | 0 | 0 | 0 |
One level density of low-lying zeros of quadratic and quartic Hecke $L$-functions | In this paper, we prove some one level density results for the low-lying
zeros of famliies of quadratic and quartic Hecke $L$-functions of the Gaussian
field. As corollaries, we deduce that, respectively, at least $94.27 \%$ and
$5\%$ of the members of the quadratic family and the quartic family do not
vanish at the ... | 0 | 0 | 1 | 0 | 0 | 0 |
An Online Convex Optimization Approach to Dynamic Network Resource Allocation | Existing approaches to online convex optimization (OCO) make sequential
one-slot-ahead decisions, which lead to (possibly adversarial) losses that
drive subsequent decision iterates. Their performance is evaluated by the
so-called regret that measures the difference of losses between the online
solution and the best ... | 1 | 0 | 1 | 1 | 0 | 0 |
Learning causal Bayes networks using interventional path queries in polynomial time and sample complexity | Causal discovery from empirical data is a fundamental problem in many
scientific domains. Observational data allows for identifiability only up to
Markov equivalence class. In this paper we first propose a polynomial time
algorithm for learning the exact correctly-oriented structure of the transitive
reduction of any... | 1 | 0 | 0 | 1 | 0 | 0 |
The Fredholm alternative for the $p$-Laplacian in exterior domains | We investigate the Fredholm alternative for the $p$-Laplacian in an exterior
domain which is the complement of the closed unit ball in $\mathbb{R}^N$
($N\geq 2$). By employing techniques of Calculus of Variations we obtain the
multiplicity of solutions. The striking difference between our case and the
entire space ca... | 0 | 0 | 1 | 0 | 0 | 0 |
Thermodynamic Stabilization of Precipitates through Interface Segregation: Chemical Effects | Precipitation hardening, which relies on a high density of intermetallic
precipitates, is a commonly utilized technique for strengthening structural
alloys. Structural alloys are commonly strengthened through a high density of
small size intermetallic precipitates. At high temperatures, however, the
precipitates coar... | 0 | 1 | 0 | 0 | 0 | 0 |
Wavelength Does Not Equal Pressure: Vertical Contribution Functions and their Implications for Mapping Hot Jupiters | Multi-band phase variations in principle allow us to infer the longitudinal
temperature distributions of planets as a function of height in their
atmospheres. For example, 3.6 micron emission originates from deeper layers of
the atmosphere than 4.5 micron due to greater water vapor absorption at the
longer wavelength... | 0 | 1 | 0 | 0 | 0 | 0 |
Supervised Learning of Labeled Pointcloud Differences via Cover-Tree Entropy Reduction | We introduce a new algorithm, called CDER, for supervised machine learning
that merges the multi-scale geometric properties of Cover Trees with the
information-theoretic properties of entropy. CDER applies to a training set of
labeled pointclouds embedded in a common Euclidean space. If typical
pointclouds correspond... | 1 | 0 | 0 | 1 | 0 | 0 |
Design Considerations for Proposed Fermilab Integrable RCS | Integrable optics is an innovation in particle accelerator design that
provides strong nonlinear focusing while avoiding parametric resonances. One
promising application of integrable optics is to overcome the traditional
limits on accelerator intensity imposed by betatron tune-spread and collective
instabilities. Th... | 0 | 1 | 0 | 0 | 0 | 0 |
Consistent Estimation in General Sublinear Preferential Attachment Trees | We propose an empirical estimator of the preferential attachment function $f$
in the setting of general preferential attachment trees. Using a supercritical
continuous-time branching process framework, we prove the almost sure
consistency of the proposed estimator. We perform simulations to study the
empirical proper... | 0 | 0 | 1 | 1 | 0 | 0 |
Learned Watershed: End-to-End Learning of Seeded Segmentation | Learned boundary maps are known to outperform hand- crafted ones as a basis
for the watershed algorithm. We show, for the first time, how to train
watershed computation jointly with boundary map prediction. The estimator for
the merging priorities is cast as a neural network that is con- volutional
(over space) and r... | 1 | 0 | 0 | 0 | 0 | 0 |
MAGIC Contributions to the 35th International Cosmic Ray Conference (ICRC2017) | MAGIC (Major Atmospheric Gamma Imaging Cherenkov) is a system of two 17 m
diameter, F/1.03 Imaging Atmospheric Cherenkov Telescopes (IACT). They are
dedicated to the observation of gamma rays from galactic and extragalactic
sources in the very high energy range (VHE, 30 GeV to 100 TeV). This submission
contains links... | 0 | 1 | 0 | 0 | 0 | 0 |
Efficient Hidden Vector Encryptions and Its Applications | Predicate encryption is a new paradigm of public key encryption that enables
searches on encrypted data. Using the predicate encryption, we can search
keywords or attributes on encrypted data without decrypting the ciphertexts. In
predicate encryption, a ciphertext is associated with attributes and a token
correspond... | 1 | 0 | 0 | 0 | 0 | 0 |
The Galaxy Clustering Crisis in Abundance Matching | Galaxy clustering on small scales is significantly under-predicted by
sub-halo abundance matching (SHAM) models that populate (sub-)haloes with
galaxies based on peak halo mass, $M_{\rm peak}$. SHAM models based on the peak
maximum circular velocity, $V_{\rm peak}$, have had much better success. The
primary reason $M... | 0 | 1 | 0 | 0 | 0 | 0 |
Supplying Dark Energy from Scalar Field Dark Matter | We consider the hypothesis that dark matter and dark energy consists of
ultra-light self-interacting scalar particles. It is found that the
Klein-Gordon equation with only two free parameters (mass and self-coupling) on
a Schwarzschild background, at the galactic length-scales has the solution
which corresponds to Bo... | 0 | 1 | 0 | 0 | 0 | 0 |
GHz-Band Integrated Magnetic Inductors | The demand on mobile electronics to continue to shrink in size while increase
in efficiency drives the demand on the internal passive components to do the
same. Power amplifiers require inductors with small form factors, high quality
factors, and high operating frequency in the single-digit GHz range. This work
explo... | 0 | 1 | 0 | 0 | 0 | 0 |
Acylindrical actions on projection complexes | We simplify the construction of projection complexes due to
Bestvina-Bromberg-Fujiwara. To do so, we introduce a sharper version of the
Behrstock inequality, and show that it can always be enforced. Furthermore, we
use the new setup to prove acylindricity results for the action on the
projection complexes. We also tr... | 0 | 0 | 1 | 0 | 0 | 0 |
Introducing Geometric Algebra to Geometric Computing Software Developers: A Computational Thinking Approach | Designing software systems for Geometric Computing applications can be a
challenging task. Software engineers typically use software abstractions to
hide and manage the high complexity of such systems. Without the presence of a
unifying algebraic system to describe geometric models, the use of software
abstractions a... | 1 | 0 | 0 | 0 | 0 | 0 |
Recovering Nonuniform Planted Partitions via Iterated Projection | In the planted partition problem, the $n$ vertices of a random graph are
partitioned into $k$ "clusters," and edges between vertices in the same cluster
and different clusters are included with constant probability $p$ and $q$,
respectively (where $0 \le q < p \le 1$). We give an efficient spectral
algorithm that rec... | 1 | 0 | 0 | 0 | 0 | 0 |
Data-driven Analytics for Business Architectures: Proposed Use of Graph Theory | Business Architecture (BA) plays a significant role in helping organizations
understand enterprise structures and processes, and align them with strategic
objectives. However, traditional BAs are represented in fixed structure with
static model elements and fail to dynamically capture business insights based
on inter... | 0 | 0 | 0 | 1 | 0 | 0 |
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability | The lack of interpretability remains a key barrier to the adoption of deep
models in many applications. In this work, we explicitly regularize deep models
so human users might step through the process behind their predictions in
little time. Specifically, we train deep time-series models so their
class-probability pr... | 1 | 0 | 0 | 1 | 0 | 0 |
Phase-type distributions in population genetics | Probability modelling for DNA sequence evolution is well established and
provides a rich framework for understanding genetic variation between samples
of individuals from one or more populations. We show that both classical and
more recent models for coalescence (with or without recombination) can be
described in ter... | 0 | 0 | 0 | 1 | 1 | 0 |
Robust Wald-type test in GLM with random design based on minimum density power divergence estimators | We consider the problem of robust inference under the important generalized
linear model (GLM) with stochastic covariates. We derive the properties of the
minimum density power divergence estimator of the parameters in GLM with random
design and used this estimator to propose a robust Wald-type test for testing
any g... | 0 | 0 | 0 | 1 | 0 | 0 |
Locally Smoothed Neural Networks | Convolutional Neural Networks (CNN) and the locally connected layer are
limited in capturing the importance and relations of different local receptive
fields, which are often crucial for tasks such as face verification, visual
question answering, and word sequence prediction. To tackle the issue, we
propose a novel l... | 1 | 0 | 0 | 1 | 0 | 0 |
Asymptotic properties of a componentwise ARH(1) plug-in predictor | This paper presents new results on prediction of linear processes in function
spaces. The autoregressive Hilbertian process framework of order one (ARH(1)
process framework) is adopted. A componentwise estimator of the autocorrelation
operator is formulated, from the moment-based estimation of its diagonal
coefficien... | 0 | 0 | 1 | 1 | 0 | 0 |
The Effect of Population Control Policies on Societal Fragmentation | Population control policies are proposed and in some places employed as a
means towards curbing population growth. This paper is concerned with a
disturbing side-effect of such policies, namely, the potential risk of societal
fragmentation due to changes in the distribution of family sizes. This effect
is illustrated... | 1 | 1 | 0 | 0 | 0 | 0 |
Optimizing Beam Transport in Rapidly Compressing Beams on the Neutralized Drift Compression Experiment - II | The Neutralized Drift Compression Experiment-II (NDCX-II) is an induction
linac that generates intense pulses of 1.2 MeV helium ions for heating matter
to extreme conditions. Here, we present recent results on optimizing beam
transport. The NDCX-II beamline includes a 1-meter-long drift section
downstream of the last... | 0 | 1 | 0 | 0 | 0 | 0 |
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations | Many structured prediction problems (particularly in vision and language
domains) are ambiguous, with multiple outputs being correct for an input - e.g.
there are many ways of describing an image, multiple ways of translating a
sentence; however, exhaustively annotating the applicability of all possible
outputs is in... | 0 | 0 | 0 | 1 | 0 | 0 |
Direct and indirect seismic inversion: interpretation of certain mathematical theorems | Quantitative methods are more familiar to most geophysicists with direct
inversion or indirect inversion. We will discuss seismic inversion in a high
level sense without getting into the actual algorithms. We will stay with
meta-equations and argue pros and cons based on certain mathematical theorems.
| 0 | 1 | 0 | 0 | 0 | 0 |
Kan's combinatorial spectra and their sheaves revisited | We define a right Cartan-Eilenberg structure on the category of Kan's
combinatorial spectra, and the category of sheaves of such spectra, assuming
some conditions. In both structures, we use the geometric concept of homotopy
equivalence as the strong equivalence. In the case of sheaves, we use local
equivalence as th... | 0 | 0 | 1 | 0 | 0 | 0 |
Adiabatic Quantum Computing for Binary Clustering | Quantum computing for machine learning attracts increasing attention and
recent technological developments suggest that especially adiabatic quantum
computing may soon be of practical interest. In this paper, we therefore
consider this paradigm and discuss how to adopt it to the problem of binary
clustering. Numerica... | 0 | 0 | 0 | 1 | 0 | 0 |
Similarity Search Over Graphs Using Localized Spectral Analysis | This paper provides a new similarity detection algorithm. Given an input set
of multi-dimensional data points, where each data point is assumed to be
multi-dimensional, and an additional reference data point for similarity
finding, the algorithm uses kernel method that embeds the data points into a
low dimensional ma... | 1 | 0 | 0 | 0 | 0 | 0 |
Reminiscences of Julian Schwinger: Late Harvard, Early UCLA Years (1968-1981) | These are reminiscences of my interactions with Julian Schwinger from 1968
through 1981 and beyond.
| 0 | 1 | 0 | 0 | 0 | 0 |
Site-resolved imaging of a bosonic Mott insulator using ytterbium atoms | We demonstrate site-resolved imaging of a strongly correlated quantum system
without relying on laser-cooling techniques during fluorescence imaging. We
observed the formation of Mott shells in the insulating regime and realized
thermometry on the atomic cloud. This work proves the feasibility of the
noncooled approa... | 0 | 1 | 0 | 0 | 0 | 0 |
A unified continuum and variational multiscale formulation for fluids, solids, and fluid-structure interaction | We develop a unified continuum modeling framework for viscous fluids and
hyperelastic solids using the Gibbs free energy as the thermodynamic potential.
This framework naturally leads to a pressure primitive variable formulation for
the continuum body, which is well-behaved in both compressible and
incompressible reg... | 0 | 1 | 0 | 0 | 0 | 0 |
Time Assignment System and Its Performance aboard the Hitomi Satellite | Fast timing capability in X-ray observation of astrophysical objects is one
of the key properties for the ASTRO-H (Hitomi) mission. Absolute timing
accuracies of 350 micro second or 35 micro second are required to achieve
nominal scientific goals or to study fast variabilities of specific sources.
The satellite carri... | 0 | 1 | 0 | 0 | 0 | 0 |
Common fixed points via $λ$-sequences in $G$-metric spaces | In this article, we use $\lambda$-sequences to derive common fixed points for
a family of self-mappings defined on a complete $G$-metric space. We imitate
some existing techniques in our proofs and show that the tools emlyed can be
used at a larger scale. These results generalise well known results in the
literature.... | 0 | 0 | 1 | 0 | 0 | 0 |
Bidirectional Nested Weighted Automata | Nested weighted automata (NWA) present a robust and convenient
automata-theoretic formalism for quantitative specifications. Previous works
have considered NWA that processed input words only in the forward direction.
It is natural to allow the automata to process input words backwards as well,
for example, to measur... | 1 | 0 | 0 | 0 | 0 | 0 |
Uniform Shapiro-Lopatinski conditions and boundary value problems on manifolds with bounded geometry | We study the regularity of the solutions of second order boundary value
problems on manifolds with boundary and bounded geometry. We first show that
the regularity property of a given boundary value problem $(P, C)$ is
equivalent to the uniform regularity of the natural family $(P_x, C_x)$ of
associated boundary valu... | 0 | 0 | 1 | 0 | 0 | 0 |
A Fourier-Chebyshev Spectral Method for Cavitation Computation in Nonlinear Elasticity | A Fourier-Chebyshev spectral method is proposed in this paper for solving the
cavitation problem in nonlinear elasticity. The interpolation error for the
cavitation solution is analyzed, the elastic energy error estimate for the
discrete cavitation solution is obtained, and the convergence of the method is
proved. An... | 0 | 0 | 1 | 0 | 0 | 0 |
Learning Criticality in an Embodied Boltzmann Machine | Many biological and cognitive systems do not operate deep into one or other
regime of activity. Instead, they exploit critical surfaces poised at
transitions in their parameter space. The pervasiveness of criticality in
natural systems suggests that there may be general principles inducing this
behaviour. However, th... | 1 | 1 | 0 | 0 | 0 | 0 |
A contemporary look at Hermann Hankel's 1861 pioneering work on Lagrangian fluid dynamics | The present paper is a companion to the paper by Villone and Rampf (2017),
titled "Hermann Hankel's On the general theory of motion of fluids, an essay
including an English translation of the complete Preisschrift from 1861"
together with connected documents. Here we give a critical assessment of
Hankel's work, which... | 0 | 1 | 1 | 0 | 0 | 0 |
A Dynamic Edge Exchangeable Model for Sparse Temporal Networks | We propose a dynamic edge exchangeable network model that can capture sparse
connections observed in real temporal networks, in contrast to existing models
which are dense. The model achieved superior link prediction accuracy on
multiple data sets when compared to a dynamic variant of the blockmodel, and is
able to e... | 0 | 0 | 0 | 1 | 0 | 0 |
Current-mode Memristor Crossbars for Neuromemristive Systems | Motivated by advantages of current-mode design, this brief contribution
explores the implementation of weight matrices in neuromemristive systems via
current-mode memristor crossbar circuits. After deriving theoretical results
for the range and distribution of weights in the current-mode design, it is
shown that any ... | 1 | 0 | 0 | 1 | 0 | 0 |
Incomplete Gauss sums modulo primes | We obtain a new bound for incomplete Gauss sums modulo primes. Our argument
falls under the framework of Vinogradov's method which we use to reduce the
problem under consideration to bounding the number of solutions to two distinct
systems of congruences. The first is related to Vinogradov's mean value
theorem, altho... | 0 | 0 | 1 | 0 | 0 | 0 |
FAST Adaptive Smoothing and Thresholding for Improved Activation Detection in Low-Signal fMRI | Functional Magnetic Resonance Imaging is a noninvasive tool used to study
brain function. Detecting activation is challenged by many factors, and even
more so in low-signal scenarios that arise in the performance of high-level
cognitive tasks. We provide a fully automated and fast adaptive smoothing and
thresholding ... | 0 | 0 | 1 | 1 | 0 | 0 |
Improper multiferroicity and colossal dielectric constants in Bi$_{2}$CuO$_{4}$ | The layered cuprate Bi$_{2}$CuO$_{4}$ is investigated using magnetic,
dielectric and pyroelectric measurements. This system is observed to be an
improper multiferroic, with a robust ferroelectric state being established near
the magnetic transition. Magnetic and dielectric measurements indicate the
presence of a regi... | 0 | 1 | 0 | 0 | 0 | 0 |
Suppression of plasma echoes and Landau damping in Sobolev spaces by weak collisions in a Vlasov-Fokker-Planck equation | In this paper, we study Landau damping in the weakly collisional limit of a
Vlasov-Fokker-Planck equation with nonlinear collisions in the phase-space
$(x,v) \in \mathbb T_x^n \times \mathbb R^n_v$. The goal is four-fold: (A) to
understand how collisions suppress plasma echoes and enable Landau damping in
agreement w... | 0 | 0 | 1 | 0 | 0 | 0 |
Deep Learning for Semantic Segmentation on Minimal Hardware | Deep learning has revolutionised many fields, but it is still challenging to
transfer its success to small mobile robots with minimal hardware.
Specifically, some work has been done to this effect in the RoboCup humanoid
football domain, but results that are performant and efficient and still
generally applicable out... | 1 | 0 | 0 | 1 | 0 | 0 |
Overpartition $M2$-rank differences, class number relations, and vector-valued mock Eisenstein series | We prove that the generating function of overpartition $M2$-rank differences
is, up to coefficient signs, a component of the vector-valued mock Eisenstein
series attached to a certain quadratic form. We use this to compute analogs of
the class number relations for $M2$-rank differences. As applications we split
the K... | 0 | 0 | 1 | 0 | 0 | 0 |
Communication-Efficient and Decentralized Multi-Task Boosting while Learning the Collaboration Graph | We study the decentralized machine learning scenario where many users
collaborate to learn personalized models based on (i) their local datasets and
(ii) a similarity graph over the users' learning tasks. Our approach trains
nonlinear classifiers in a multi-task boosting manner without exchanging
personal data and wi... | 1 | 0 | 0 | 1 | 0 | 0 |
On the well-posedness of SPDEs with singular drift in divergence form | We prove existence and uniqueness of strong solutions for a class of
second-order stochastic PDEs with multiplicative Wiener noise and drift of the
form $\operatorname{div} \gamma(\nabla \cdot)$, where $\gamma$ is a maximal
monotone graph in $\mathbb{R}^n \times \mathbb{R}^n$ obtained as the
subdifferential of a conv... | 0 | 0 | 1 | 0 | 0 | 0 |
Trace norm regularization and faster inference for embedded speech recognition RNNs | We propose and evaluate new techniques for compressing and speeding up dense
matrix multiplications as found in the fully connected and recurrent layers of
neural networks for embedded large vocabulary continuous speech recognition
(LVCSR). For compression, we introduce and study a trace norm regularization
technique... | 1 | 0 | 0 | 1 | 0 | 0 |
Scalable and Robust Sparse Subspace Clustering Using Randomized Clustering and Multilayer Graphs | Sparse subspace clustering (SSC) is one of the current state-of-the-art
methods for partitioning data points into the union of subspaces, with strong
theoretical guarantees. However, it is not practical for large data sets as it
requires solving a LASSO problem for each data point, where the number of
variables in ea... | 0 | 0 | 0 | 1 | 0 | 0 |
Deep Health Care Text Classification | Health related social media mining is a valuable apparatus for the early
recognition of the diverse antagonistic medicinal conditions. Mostly, the
existing methods are based on machine learning with knowledge-based learning.
This working note presents the Recurrent neural network (RNN) and Long
short-term memory (LST... | 1 | 0 | 0 | 0 | 0 | 0 |
Study of cost functionals for ptychographic phase retrieval to improve the robustness against noise, and a proposal for another noise-robust ptychographic phase retrieval scheme | Recently, efforts have been made to improve ptychography phase retrieval
algorithms so that they are more robust against noise. Often the algorithm is
adapted by changing the cost functional that needs to be minimized. In
particular, it has been suggested that the cost functional should be obtained
using a maximum-li... | 1 | 1 | 0 | 0 | 0 | 0 |
Predicting Native Language from Gaze | A fundamental question in language learning concerns the role of a speaker's
first language in second language acquisition. We present a novel methodology
for studying this question: analysis of eye-movement patterns in second
language reading of free-form text. Using this methodology, we demonstrate for
the first ti... | 1 | 0 | 0 | 0 | 0 | 0 |
A form of Schwarz's lemma and a bound for the Kobayashi metric on convex domains | We present a form of Schwarz's lemma for holomorphic maps between convex
domains $D_1$ and $D_2$. This result provides a lower bound on the distance
between the images of relatively compact subsets of $D_1$ and the boundary of
$D_2$. This is a natural improvement of an old estimate by Bernal-González
that takes into ... | 0 | 0 | 1 | 0 | 0 | 0 |
The COM-negative binomial distribution: modeling overdispersion and ultrahigh zero-inflated count data | In this paper, we focus on the COM-type negative binomial distribution with
three parameters, which belongs to COM-type $(a,b,0)$ class distributions and
family of equilibrium distributions of arbitrary birth-death process. Besides,
we show abundant distributional properties such as overdispersion and
underdispersion... | 0 | 0 | 1 | 1 | 0 | 0 |
Efficient Contextual Bandits in Non-stationary Worlds | Most contextual bandit algorithms minimize regret against the best fixed
policy, a questionable benchmark for non-stationary environments that are
ubiquitous in applications. In this work, we develop several efficient
contextual bandit algorithms for non-stationary environments by equipping
existing methods for i.i.d... | 1 | 0 | 0 | 1 | 0 | 0 |
Search Engine Drives the Evolution of Social Networks | The search engine is tightly coupled with social networks and is primarily
designed for users to acquire interested information. Specifically, the search
engine assists the information dissemination for social networks, i.e.,
enabling users to access interested contents with keywords-searching and
promoting the proce... | 1 | 1 | 0 | 0 | 0 | 0 |
End-to-End Learning of Semantic Grasping | We consider the task of semantic robotic grasping, in which a robot picks up
an object of a user-specified class using only monocular images. Inspired by
the two-stream hypothesis of visual reasoning, we present a semantic grasping
framework that learns object detection, classification, and grasp planning in
an end-t... | 1 | 0 | 0 | 1 | 0 | 0 |
Von Neumann Regular Cellular Automata | For any group $G$ and any set $A$, a cellular automaton (CA) is a
transformation of the configuration space $A^G$ defined via a finite memory set
and a local function. Let $\text{CA}(G;A)$ be the monoid of all CA over $A^G$.
In this paper, we investigate a generalisation of the inverse of a CA from the
semigroup-theo... | 1 | 0 | 1 | 0 | 0 | 0 |
A Distance Between Filtered Spaces Via Tripods | We present a simplified treatment of stability of filtrations on finite
spaces. Interestingly, we can lift the stability result for combinatorial
filtrations from [CSEM06] to the case when two filtrations live on different
spaces without directly invoking the concept of interleaving. We then prove
that this distance ... | 1 | 0 | 1 | 0 | 0 | 0 |
Robust Shape Estimation for 3D Deformable Object Manipulation | Existing shape estimation methods for deformable object manipulation suffer
from the drawbacks of being off-line, model dependent, noise-sensitive or
occlusion-sensitive, and thus are not appropriate for manipulation tasks
requiring high precision. In this paper, we present a real-time shape
estimation approach for a... | 1 | 0 | 0 | 0 | 0 | 0 |
Beyond Winning and Losing: Modeling Human Motivations and Behaviors Using Inverse Reinforcement Learning | In recent years, reinforcement learning (RL) methods have been applied to
model gameplay with great success, achieving super-human performance in various
environments, such as Atari, Go, and Poker. However, those studies mostly focus
on winning the game and have largely ignored the rich and complex human
motivations,... | 0 | 0 | 0 | 1 | 0 | 0 |
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