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\section{Introduction}
\subsection{Discrete energies and their applications}
Behavior of discrete subsets of the Euclidean space $ \mathbb R^d $ is of interest in diverse areas such as information theory, numerical analysis, and discrete geometry, and arises in questions related to optimal quantizers, cubature formul... | {
"timestamp": "2020-10-23T02:29:49",
"yymm": "2010",
"arxiv_id": "2010.11937",
"language": "en",
"url": "https://arxiv.org/abs/2010.11937"
} |
\section{Introduction} \label{sec:intro}
A central challenge in statistics is estimation from truncated samples.
Truncation occurs whenever samples that do not belong in some set $S$ are not
observed. For example, a clinical study of obesity will not contain samples
with weight smaller than a threshold set by the st... | {
"timestamp": "2020-10-26T01:02:36",
"yymm": "2010",
"arxiv_id": "2010.12000",
"language": "en",
"url": "https://arxiv.org/abs/2010.12000"
} |
\section{Pseudocode for skeletons} \label{sec:skel-alg}
For the following algorithms, recall that $\bXX \in \spR^{m \times n}$, $m \gg n$, is partitioned into a set of $p$ block vectors, each of size $m \times s$.
\[
\bXX = [\vX_1 \,|\, \vX_2 \,|\, \cdots \,|\, \vX_p],
\]
and that muscles operate on a single block vect... | {
"timestamp": "2020-10-26T01:04:54",
"yymm": "2010",
"arxiv_id": "2010.12058",
"language": "en",
"url": "https://arxiv.org/abs/2010.12058"
} |
\section{Introduction} \label{sec:intro}
Interstellar dust and gas indirectly trace ISM turbulence, rendering them a vital observational lever on the processes that shape star formation and galaxy evolution \citep{Elmegreen:2004:ARA&A:,Goodman:2009:Natur:,Padoan:2016:ApJ:,Krumholz:2018:MNRAS:,Burkhart:2015:ApJL:}. Fur... | {
"timestamp": "2020-10-26T01:00:31",
"yymm": "2010",
"arxiv_id": "2010.11963",
"language": "en",
"url": "https://arxiv.org/abs/2010.11963"
} |
\section{INTRODUCTION}
Our world is fundamentally quantum mechanical in nature. We would not have existed otherwise. This is because of the following reason: Matter is made of atoms that consist of negatively charged electrons hovering around the positively charged nuclei, bound by their mutual electrostatic attractio... | {
"timestamp": "2020-10-26T01:03:28",
"yymm": "2010",
"arxiv_id": "2010.12010",
"language": "en",
"url": "https://arxiv.org/abs/2010.12010"
} |
\section{Introduction}
\IEEEPARstart{C}{limate} change is a major threat to the stability of human society and river ecosystems \cite{vorosmarty2010}. Extreme events such as droughts and floods can have significant economic impacts across multiple sectors, including agriculture, hydropower and inland shipping \cite{lu... | {
"timestamp": "2020-10-26T01:00:07",
"yymm": "2010",
"arxiv_id": "2010.11945",
"language": "en",
"url": "https://arxiv.org/abs/2010.11945"
} |
\section{Introduction}
The popularity of social media and other means of disseminating content, combined with automated algorithms that amplify signals, has increased the proliferation of misinformation.
This has caused increased attention in the community towards building better fact verification systems.
Until recen... | {
"timestamp": "2020-10-23T02:29:43",
"yymm": "2010",
"arxiv_id": "2010.11930",
"language": "en",
"url": "https://arxiv.org/abs/2010.11930"
} |
\section{Introduction}
\begin{figure*}[b]
\centering
\includegraphics[width=\textwidth]{images/SampleQuestionBank.jpg}
\caption{Sample items from our TinySocial-Crowd dataset, with questions and answers obtained through paid online crowdsourcing. The full dataset, with video links and multiple... | {
"timestamp": "2020-10-26T01:02:25",
"yymm": "2010",
"arxiv_id": "2010.11997",
"language": "en",
"url": "https://arxiv.org/abs/2010.11997"
} |
\section{Introduction}
\label{sec:intro}
Given a topological space~$X$, a classical question in geometric topology asks for the lowest dimension $d$ such that $X$ embeds into~$\mathbb{R}^d$. Among the milestones of this line of inquiry are the characterization of planar graphs (as graphs without $K_5$- and $K_{3,3}$-m... | {
"timestamp": "2020-10-26T01:02:23",
"yymm": "2010",
"arxiv_id": "2010.11996",
"language": "en",
"url": "https://arxiv.org/abs/2010.11996"
} |
\section{Introduction}
While transfer learning has become the go-to method for solving NLP tasks \cite{pan2009survey, torrey2010transfer, ruder2019neural, howard18ulmfit, peters18elmo}, transformer-based models are notoriously deep requiring millions or even billions of parameters \cite{radford2018gpt, devlin-bert, ... | {
"timestamp": "2020-10-23T02:29:28",
"yymm": "2010",
"arxiv_id": "2010.11918",
"language": "en",
"url": "https://arxiv.org/abs/2010.11918"
} |
\section{data acquisition}
The bio-electric traits of brain neurotransmitters are extensively described in \cite{malmivuo1995bioelectromagnetism, Sarmiento2019recognition}. For this work, we used the raw EEG data that had been recorded in controlled noise Clinical Electrophysiology Laboratory at National University of ... | {
"timestamp": "2020-10-26T01:05:11",
"yymm": "2010",
"arxiv_id": "2010.12066",
"language": "en",
"url": "https://arxiv.org/abs/2010.12066"
} |
\section{Introduction}
The quality of deep learning methods for signal reconstruction from noisy images, also known as deep image denoising, has benefited from the advanced neural network architectures such as ResNet~\cite{he2016deep}, U-Net~\cite{ronneberger2015u} and their variants~\cite{zhang2017beyond, milletari20... | {
"timestamp": "2020-10-26T01:01:01",
"yymm": "2010",
"arxiv_id": "2010.11971",
"language": "en",
"url": "https://arxiv.org/abs/2010.11971"
} |
\section{Introduction}
Visual object detection has achieved remarkable progress in the last decade thanks to the advances of Convolutional Neural Networks (CNNs) \cite{ren2015faster,girshick2015fast}. An integral part of the achievement is the availability of large-scale training data with precise bounding-box annotati... | {
"timestamp": "2020-10-26T01:04:04",
"yymm": "2010",
"arxiv_id": "2010.12023",
"language": "en",
"url": "https://arxiv.org/abs/2010.12023"
} |
\section{Introduction}\label{Sec:introduction}
The problem of two-sample testing has been a fundamental topic in statistics and machine learning.
Specifically, one wishes to test whether two collections of samples $x^n:=\{x_i\}_{i=1}^n$ and $y^m:=\{y_i\}_{i=1}^m$ are from the same distribution or not.
Let $\mu$ and $\... | {
"timestamp": "2020-10-26T01:00:57",
"yymm": "2010",
"arxiv_id": "2010.11970",
"language": "en",
"url": "https://arxiv.org/abs/2010.11970"
} |
\section*{Acknowledgments}
We would like to thank P.B. Littlewood for helpful discussions. This work was supported through the Air Force Office of Scientific Research Grant No. FA9550-15-1-0474, and the National Science Foundation Platform for the Accelerated Realization, Analysis, and Discovery of Interface Materials ... | {
"timestamp": "2020-10-26T01:01:57",
"yymm": "2010",
"arxiv_id": "2010.11984",
"language": "en",
"url": "https://arxiv.org/abs/2010.11984"
} |
\section{Introduction}
\noindent {\sl \underline{1. Introduction.}} It is by now widely recognized that ultrarelativistic nuclear collisions exhibit collective, fluid-like behavior (or `collectivity') \cite{Nagle:2018nvi, Adolfsson:2020dhm}. The current challenge is to understand what produces this behavior. To date,... | {
"timestamp": "2020-10-26T01:00:23",
"yymm": "2010",
"arxiv_id": "2010.11957",
"language": "en",
"url": "https://arxiv.org/abs/2010.11957"
} |
\section{Introduction}
Deep neural network(DNN) models have greatly improved the state-of-the-art for a lot of computer vision tasks such as image classification, image segmentation, objection detection, human pose detection and so on. However, for resource limited mobile and edge devices that are almost ubiquitous n... | {
"timestamp": "2020-11-03T02:34:33",
"yymm": "2010",
"arxiv_id": "2010.12021",
"language": "en",
"url": "https://arxiv.org/abs/2010.12021"
} |
\section{Introduction}
\label{sec:intro}
Automatic segmentation and tracking is indispensable to be able to keep pace with the amount of data acquired in high-throughput microscopy experiments. Deep learning has recently largely transformed the field of computer vision and provides excellent results on various imaging... | {
"timestamp": "2020-10-26T01:03:36",
"yymm": "2010",
"arxiv_id": "2010.12011",
"language": "en",
"url": "https://arxiv.org/abs/2010.12011"
} |
\section{Introduction}
Regardless of theological origin, the genesis of new forms of life is a sublime and unique event. While all forms of life follow sets of inherent laws, such as lifespans and physiological limitations, some forms of higher life create additional rules which form societies and establish social cont... | {
"timestamp": "2020-10-26T01:04:01",
"yymm": "2010",
"arxiv_id": "2010.12019",
"language": "en",
"url": "https://arxiv.org/abs/2010.12019"
} |
\section{Ablation Study}
\input{tables/main/ablation}
We conduct ablation study using unalgined CMU-MOSI dataset. MTGAT Full Model implements multimodal temporal edge types, adopts TopK edge pruning that keeps edges with top $80\%$ edge weights, and includes all three modalities as its input. Table \ref{tab... | {
"timestamp": "2020-10-26T01:02:09",
"yymm": "2010",
"arxiv_id": "2010.11985",
"language": "en",
"url": "https://arxiv.org/abs/2010.11985"
} |
\subsubsection{Trajectory Generation} \label{subsubsec:bezier}
Each foot's trajectory is
\begin{equation}\label{tempgait}
\Upsilon(S(t), \tau) = \begin{cases}
\begin{bmatrix}\tau(1 - 2 S(t)) \\ \delta \cos{\frac{\pi \tau(1 - 2 S(t))}{2\tau}}\end{bmatrix} & 0 \leq S(t) < 1,\\
\sum\limits_{k=0}^n c_k(\tau, \psi) B... | {
"timestamp": "2020-10-26T01:05:15",
"yymm": "2010",
"arxiv_id": "2010.12070",
"language": "en",
"url": "https://arxiv.org/abs/2010.12070"
} |
\section{Enhancement derivation}
Ordinary scattering media are typically modeled with $N$ spatial input modes and a complex-valued transmission matrix $t_{mn}$ that connects the field of the $n^{\text{th}}$ input mode to the $m^{\text{th}}$ output mode \cite{popoff2011,vellekoop2007}. With the $n^{\text{th}}$ input fie... | {
"timestamp": "2020-10-26T01:03:54",
"yymm": "2010",
"arxiv_id": "2010.12014",
"language": "en",
"url": "https://arxiv.org/abs/2010.12014"
} |
\section{Experiments}
To evaluate the proposed method, the most widely used datasets in other lane detection works were used: . Before describing the experiments performed, we first describe the efficiency metrics and some of the implementation details that were used in the evaluation. In all experiments, the same d... | {
"timestamp": "2020-10-26T01:04:21",
"yymm": "2010",
"arxiv_id": "2010.12035",
"language": "en",
"url": "https://arxiv.org/abs/2010.12035"
} |
\section{Introduction}
In online convex optimization (OCO), at each of many rounds a player has
to pick a point from a convex set while an adversary chooses a convex
function that penalizes the player's choice. More precisely, in each
round $t \in \Naturals$, the player picks a point $x_t$ from a fixed
convex set $\m... | {
"timestamp": "2020-10-26T01:04:15",
"yymm": "2010",
"arxiv_id": "2010.12033",
"language": "en",
"url": "https://arxiv.org/abs/2010.12033"
} |
\section{Introduction}
\label{sec:introduction}
Clusters of galaxies are the largest gravitationally-bound objects in the Universe and, as tracers of the highest peaks of the primordial density perturbations, they are frequently used to test cosmological models. For example, global properties, such as the abundance o... | {
"timestamp": "2020-10-26T01:00:32",
"yymm": "2010",
"arxiv_id": "2010.11964",
"language": "en",
"url": "https://arxiv.org/abs/2010.11964"
} |
\section{Introduction}
Clinical pathways are tools used to guide evidence-based healthcare to promote organised and efficient patient care \cite{kinsman2010clinical,de2006defining, rotter2010clinical}. They follow disease-specific guidelines to coordinate a set of services to be executed by different stakeholders, and... | {
"timestamp": "2020-10-26T01:04:13",
"yymm": "2010",
"arxiv_id": "2010.12027",
"language": "en",
"url": "https://arxiv.org/abs/2010.12027"
} |
\section*{Broader Impact}
Learning predictors that are robust to adversarial perturbations is an important challenge in contemporary machine learning. Current machine learning systems have been shown to be brittle against different notions of robustness such as adversarial perturbations \citep{szegedy2013intriguing,big... | {
"timestamp": "2020-10-26T01:04:22",
"yymm": "2010",
"arxiv_id": "2010.12039",
"language": "en",
"url": "https://arxiv.org/abs/2010.12039"
} |
\@ifstar{\origsection*}{\@startsection{section}{1}\z@{.7\linespacing\@plus\linespacing}{.5\linespacing}{\normalfont\scshape\centering\S}}{\@ifstar{\origsection*}{\@startsection{section}{1}\z@{.7\linespacing\@plus\linespacing}{.5\linespacing}{\normalfont\scshape\centering\S}}}
\def\@startsection{section}{1}\z@{.7\linesp... | {
"timestamp": "2020-10-23T02:29:42",
"yymm": "2010",
"arxiv_id": "2010.11928",
"language": "en",
"url": "https://arxiv.org/abs/2010.11928"
} |
\section{Proof of Theorems}
\subsection{Proof of Theorem~\ref{thm:regret_ub}}
We first upper bound the instantaneous regret in round $t \ge 1$. We have:
\begin{align}
\EXP[\max_{A \in \set{A}_t} \langle A - A_t, \theta\rangle] & \le \EXP[| \max_{A \in \set{A}_t} \langle A, \theta\rangle| ] + \EXP[| \langle A_t, ... | {
"timestamp": "2020-10-26T01:02:22",
"yymm": "2010",
"arxiv_id": "2010.11994",
"language": "en",
"url": "https://arxiv.org/abs/2010.11994"
} |
\section*{Errata in the Main Text}
During preparation of this supplement we noticed the following minor issues with the main text. We sheepishly apologize for the errata. We hope that the following corrections and clarifications are helpful to any reviewers who choose to examine the supplementary material.
\begin{enu... | {
"timestamp": "2020-10-23T02:29:50",
"yymm": "2010",
"arxiv_id": "2010.11939",
"language": "en",
"url": "https://arxiv.org/abs/2010.11939"
} |
\section*{Acknowledgments}
We thank Ruthanne Leishman and Morgan Stuart at UNOS for very helpful early-stage discussions, feedback on our general approach, clarifications regarding data, and knowledge of the intricacies of running a fielded exchange. Curry, Dickerson, and McElfresh were supported in part by NSF CAREE... | {
"timestamp": "2020-10-26T01:05:13",
"yymm": "2010",
"arxiv_id": "2010.12069",
"language": "en",
"url": "https://arxiv.org/abs/2010.12069"
} |
\section{Introduction}
\onecolumn
\section{Introduction}
One of the main goals of quantum computing is to discover computational tasks where exponential quantum speed-ups exist.
It has been conjectured~\cite{boix... | {
"timestamp": "2020-10-26T01:01:54",
"yymm": "2010",
"arxiv_id": "2010.11983",
"language": "en",
"url": "https://arxiv.org/abs/2010.11983"
} |
\section{Introduction}
In \cite{PR10}, Prest and Rajani define an anti-equivalence between the 2-category $\mathbb{ABEX}$ with objects given by skeletally small abelian categories and morphisms given by additive exact functors and the 2-category $\mathbb{DEF}$ with objects given by definable categories and morphisms... | {
"timestamp": "2020-10-26T01:04:14",
"yymm": "2010",
"arxiv_id": "2010.12029",
"language": "en",
"url": "https://arxiv.org/abs/2010.12029"
} |
\section{Introduction}
Each time, more companies announce their products on the Internet since it is an effective channel to reach potential customers. This channel is very appropriate for selling intangible products such as hotel reservations, flight tickets, company shares or medical insurances anywhere in the world... | {
"timestamp": "2020-10-26T01:01:43",
"yymm": "2010",
"arxiv_id": "2010.11981",
"language": "en",
"url": "https://arxiv.org/abs/2010.11981"
} |
\section{Conclusion}
In this work, we presented a simple and efficient approach to generate large multilingual question-answer pairs, which can be used to augment available datasets in the target languages. Our experimental results showed large improvements in the performance of the QA models trained on such datasets ... | {
"timestamp": "2020-10-26T01:03:27",
"yymm": "2010",
"arxiv_id": "2010.12008",
"language": "en",
"url": "https://arxiv.org/abs/2010.12008"
} |
\section{Introduction}
Current natural language processing (NLP) pipelines often make use of transfer learning, where a model is pre-trained on a data-rich task before being fine-tuned on a downstream task of interest \citep{ruder2019transfer}.
The success of this paradigm is partially thanks to the release of parame... | {
"timestamp": "2020-10-27T01:06:13",
"yymm": "2010",
"arxiv_id": "2010.11934",
"language": "en",
"url": "https://arxiv.org/abs/2010.11934"
} |
\section{Introduction}
Since the first observation of the gravitational wave (GW) signal from a binary black hole (BBH) merger in 2015 \citep{abbott2016observation}, tens of additional signals from BBH, binary neutron star (BNS) and neutron star-black hole (NSBH) mergers have been detected during the first three LIGO-... | {
"timestamp": "2020-10-26T01:00:11",
"yymm": "2010",
"arxiv_id": "2010.11949",
"language": "en",
"url": "https://arxiv.org/abs/2010.11949"
} |
\section{Introduction}
\label{S:1}
In recent years, shared micromobility services are experiencing an explosive growth in urban areas \citep{nacto2019a,mckenzie2019spatiotemporal}. Micromobility refers to a mode of transportation that involves small, single-passenger modes rented for short term use, such as e-scooters... | {
"timestamp": "2020-10-26T01:03:17",
"yymm": "2010",
"arxiv_id": "2010.12006",
"language": "en",
"url": "https://arxiv.org/abs/2010.12006"
} |
\section{Introduction}
Large scale data storage as well as data analytics engines crucially rely upon reliable distributed database systems to efficiently store and process data. The imbalance in distribution of data across the storage nodes is one of the prime factors due to which data stores and analytics platforms a... | {
"timestamp": "2020-10-23T02:29:49",
"yymm": "2010",
"arxiv_id": "2010.11935",
"language": "en",
"url": "https://arxiv.org/abs/2010.11935"
} |
\section{Approach}
\label{sec:approach}
Our goal is to leverage skills extracted from large, unstructured datasets to accelerate the learning of new tasks. Scaling skill transfer to large datasets is challenging, since learning the downstream task requires picking the appropriate skills from an increasingly large li... | {
"timestamp": "2020-10-23T02:29:59",
"yymm": "2010",
"arxiv_id": "2010.11944",
"language": "en",
"url": "https://arxiv.org/abs/2010.11944"
} |
\section{Introduction}
This paper addresses \ac{BPM} scheduling, which has been extensively explored in the literature, motivated by applications in industries and by the challenging solution of real-world problems. The main goal in \ac{BPM} scheduling problems is to group jobs into batches ... | {
"timestamp": "2020-10-26T01:04:36",
"yymm": "2010",
"arxiv_id": "2010.12052",
"language": "en",
"url": "https://arxiv.org/abs/2010.12052"
} |
\section*{Introduction}\label{sec:Introd}
The polarization data available at present for proton-proton scattering at relatively high energies are compatible with $s$-channel helicity conservation \cite{Leader, Bultimore, ELNS} and show that the polarization contribution decreases with increasing energy as it is expec... | {
"timestamp": "2020-10-26T01:02:10",
"yymm": "2010",
"arxiv_id": "2010.11987",
"language": "en",
"url": "https://arxiv.org/abs/2010.11987"
} |
\subsection{Notations and Definitions}
We use both element-wise and specialized tensor algebra
notation~\cite{kolda2009tensor}.
Vectors are denoted with bold lowercase Roman letters (e.g., $\vcr{v}$), matrices are denoted with bold uppercase Roman letters (e.g., $\mat{M}$), and tensors are denoted with bold calligraph... | {
"timestamp": "2020-10-26T01:04:52",
"yymm": "2010",
"arxiv_id": "2010.12056",
"language": "en",
"url": "https://arxiv.org/abs/2010.12056"
} |
\section{Introduction}
In recent years there has been an increased interest in integrable deformations of sigma models.
In particular, in the so called $\eta$-deformation, which was originally formulated for principle chiral model in \cite{Klimcik:2008eq} and generalized to $G/H$ symmetric space sigma models in \cite{D... | {
"timestamp": "2020-11-05T02:16:37",
"yymm": "2010",
"arxiv_id": "2010.11927",
"language": "en",
"url": "https://arxiv.org/abs/2010.11927"
} |
\section{Acknowledgements paragraph}
Include the following text in the Acknowledgements section in all paper
drafts. It is not needed for analysis notes or conference reports.
The text below are the acknowledgements as approved by the collaboration
board. Extending the acknowledgements to include individuals from out... | {
"timestamp": "2020-10-26T01:02:10",
"yymm": "2010",
"arxiv_id": "2010.11986",
"language": "en",
"url": "https://arxiv.org/abs/2010.11986"
} |
\section*{}
Supermassive black hole binaries (SMBHB) are expected to form following the mergers of massive galaxies during the buildup of hierarchical structure in $\Lambda$CDM \citep[][and references therein]{2019A&ARv..27....5B}. No observationally-confirmed SMBHBs at sub-parsec separations are known, but a growin... | {
"timestamp": "2020-10-26T01:00:12",
"yymm": "2010",
"arxiv_id": "2010.11950",
"language": "en",
"url": "https://arxiv.org/abs/2010.11950"
} |
\section{Introduction}\label{sec:introduction}}
\IEEEPARstart{D}{ata} \tm{reconnaissance was recently defined as the process of exploring a group of datasets that are not yet understood by a specific person, and an iterative four-stage process of acquire, view, assess, pursue was proposed as a conceptual framework to ... | {
"timestamp": "2020-10-26T01:01:21",
"yymm": "2010",
"arxiv_id": "2010.11975",
"language": "en",
"url": "https://arxiv.org/abs/2010.11975"
} |
\section{Introduction}
Many natural languages in their written form encode some information in the case of the letter: the beginning of the sentence, proper nouns, headings of publication titles, to name a few. People can process that kind of information in a special way, learning word semantics separately from the ca... | {
"timestamp": "2020-10-23T02:29:49",
"yymm": "2010",
"arxiv_id": "2010.11936",
"language": "en",
"url": "https://arxiv.org/abs/2010.11936"
} |
\section{Introduction}
Since the birth of statistical mechanics, there has been intense interest in studying how closed classical systems approach equilibrium, and the statistics of their fluctuations thereafter. A central difficulty is precisely justifying how deterministic dynamics gives rise to a statistical descri... | {
"timestamp": "2020-10-23T02:29:35",
"yymm": "2010",
"arxiv_id": "2010.11922",
"language": "en",
"url": "https://arxiv.org/abs/2010.11922"
} |
\section{Introduction}
\label{sec:intro}
Black hole spin is a driver and diagnostic probe of numerous astrophysical phenomena: Relativistic jets that inject energy into their surroundings may be powered by tapping into the black hole spin energy reservoir \citep{Penrose1969, BlandfordZnajek1977}. The cosmological evol... | {
"timestamp": "2020-10-26T01:00:10",
"yymm": "2010",
"arxiv_id": "2010.11948",
"language": "en",
"url": "https://arxiv.org/abs/2010.11948"
} |
\section{Introduction}
Cone structures appear in different parts of Mathematics and they are the basis of Causality in standard Relativity as well as in recent extensions such as Finsler spacetimes (see \cite{JS20,Mak18,Minguzzi} and references therein). As pointed out by some authors \cite{BLV05,DS19,Gib,GW11,Pal15},... | {
"timestamp": "2020-10-26T01:02:15",
"yymm": "2010",
"arxiv_id": "2010.11990",
"language": "en",
"url": "https://arxiv.org/abs/2010.11990"
} |
\section{Introduction}
The unitarity of the Cabibbo-Kobayashi-Maskawa (CKM) matrix is one of the fundamental
predictions of the Standard Model (SM) of electroweak interactions.
Any deviation from the unitarity of this quark mixing matrix would be an unambiguous
signature of physics beyond the SM.
So far, the CKM para... | {
"timestamp": "2020-10-26T01:03:27",
"yymm": "2010",
"arxiv_id": "2010.12009",
"language": "en",
"url": "https://arxiv.org/abs/2010.12009"
} |
\section{Introduction}
As the state-of-the-art reflective surface, \acp{RIS} pave the way for a low-cost promising technology improving the spectral efficiency and energy efficiency in wireless networks~\cite{basar2019wireless, huang2019reconfigurable}. Since \acp{RIS} are able to manipulate the amplitude and/or ph... | {
"timestamp": "2020-10-26T01:02:59",
"yymm": "2010",
"arxiv_id": "2010.12004",
"language": "en",
"url": "https://arxiv.org/abs/2010.12004"
} |
\section{Introduction}\label{sec:intro}
\vspace{-2.2mm}
Noise is everywhere. When we listen to someone speak, the audio signals we
receive are never pure and clean, always contaminated by all kinds of
noises---cars passing by, spinning fans in an air conditioner, barking dogs,
music from a loudspeaker, and so fo... | {
"timestamp": "2020-10-26T01:03:47",
"yymm": "2010",
"arxiv_id": "2010.12013",
"language": "en",
"url": "https://arxiv.org/abs/2010.12013"
} |
\section{Introduction}
In \cite{F3} Falconer gave a characterization for certain classes of sets in ${\mathbb{R}}^d$ of Hausdorff dimension at least $s$ and with a ``large intersection'' property in the sense that their countable intersections also have dimension $s$. These are the so called ${\mathcal{G}}^s${\it-sets}... | {
"timestamp": "2020-10-26T01:02:43",
"yymm": "2010",
"arxiv_id": "2010.12003",
"language": "en",
"url": "https://arxiv.org/abs/2010.12003"
} |
\section{Introduction}
Oriented matroids are ordinary matroids equipped with extra sign data, which capture and extend the combinatorics of directed graphs, real hyperplane arrangements, and more generally linear dependence over $\RR$.
They appear in many subjects in mathematics and related areas, from discrete geomet... | {
"timestamp": "2020-10-26T01:04:01",
"yymm": "2010",
"arxiv_id": "2010.12018",
"language": "en",
"url": "https://arxiv.org/abs/2010.12018"
} |
\section{Conclusion} %
\label{Section: Conclusion}
This work has introduced a compositional framework for neural-symbolic integration that utilizes abduction to support the uniform treatment of symbolic modules with theories beyond any given logic or a declarative representation altogether. Our empirical results have... | {
"timestamp": "2020-10-23T02:29:41",
"yymm": "2010",
"arxiv_id": "2010.11926",
"language": "en",
"url": "https://arxiv.org/abs/2010.11926"
} |
\section{Introduction}
\label{section 1:Introduction}
Recent years have witnessed the vast growing application of neural networks in physics, this is partly due to the fact that by training the neural network, high-dimensional raw data can be converted to low-dimensional codes \cite{hinton2006reducing}, and thus the hi... | {
"timestamp": "2020-10-26T01:05:09",
"yymm": "2010",
"arxiv_id": "2010.12060",
"language": "en",
"url": "https://arxiv.org/abs/2010.12060"
} |
\section{Introduction}
$\mathbb{Z}_{2}$ topologically ordered states are one of the most well understood fractionalized states of matter~\cite{wen2004quantum,fradkin2013field}. They were first introduced by Anderson, in the form of short-ranged resonant-valence-bond (RVB) spin-liquid states~\cite{anderson1987resonatin... | {
"timestamp": "2020-10-26T01:00:19",
"yymm": "2010",
"arxiv_id": "2010.11956",
"language": "en",
"url": "https://arxiv.org/abs/2010.11956"
} |
\section{Artifact Design}
\label{sec:artifactdesign}
In accordance with the design science research paradigm, we first elaborate on our overview of design choices \cite{meth2015designing} which are depicted in \Cref{tab:designoverview}. As elaborated, we are confronted with two fundamental design requirements (DRs) fo... | {
"timestamp": "2020-10-26T01:04:13",
"yymm": "2010",
"arxiv_id": "2010.12026",
"language": "en",
"url": "https://arxiv.org/abs/2010.12026"
} |
\section{Introduction}
The problem of estimating the mean of a high-dimensional random vector with a possibly heavy-tailed distribution is a classical question that has been studied extensively over the years. Recently it has received the attention of mathematical statisticians and theoretical computer scientists. We ... | {
"timestamp": "2020-10-23T02:29:30",
"yymm": "2010",
"arxiv_id": "2010.11921",
"language": "en",
"url": "https://arxiv.org/abs/2010.11921"
} |
\section{Full capacity formula for the thermal-loss channel}
Under the input energy constraint $E$, the EA classical capacity for a thermal loss channel ${\cal L}_{\kappa,N_B}$ is solved in Ref.~\cite{bennett2002entanglement}
\begin{equation}
C_{\rm EA}({\cal L}_{\kappa,N_B})=g(E)+g(E^\prime)-g(A_+)-g(A_-),
\label{CE_... | {
"timestamp": "2020-10-26T01:01:09",
"yymm": "2010",
"arxiv_id": "2010.11974",
"language": "en",
"url": "https://arxiv.org/abs/2010.11974"
} |
\section{Introduction}
The recent COVID-19 pandemic has raised needs for social distancing, leading many organizations to develop virtual and remote services to prevent widespread infection of the disease.
Accordingly, educational systems have developed remote learning environments including Massive Open Online Course... | {
"timestamp": "2020-10-26T01:04:23",
"yymm": "2010",
"arxiv_id": "2010.12042",
"language": "en",
"url": "https://arxiv.org/abs/2010.12042"
} |
\section{Introduction}
One of the fundamental problems in AI is how to build a model that can generalize to new, previously unseen \textit{tasks}.
Recent work \citep{brown2020language} proposes a few-shot inference approach, in which a massive language model, GPT-3, is conditioned on a few input-output examples of a ... | {
"timestamp": "2020-10-26T01:01:53",
"yymm": "2010",
"arxiv_id": "2010.11982",
"language": "en",
"url": "https://arxiv.org/abs/2010.11982"
} |
\section{Introduction}\label{sec:intro}
{\color{blue}\stepcounter{paranum}\theparanum}\ ---\ The bulk of the star forming gas is contained in cold giant molecular clouds (GMCs) made primarily of molecular hydrogen ($\rm H_2$). $\rm H_2$ does not emit at the temperatures in GMCs (T$\sim$10 K). The most commonly use... | {
"timestamp": "2020-10-26T01:00:46",
"yymm": "2010",
"arxiv_id": "2010.11968",
"language": "en",
"url": "https://arxiv.org/abs/2010.11968"
} |
\section{Introduction}
Reinforcement learning (RL) is a powerful tool that has made significant progress on hard problems. For instance, in games like Atari \cite{mnih2013playing} or Go \cite{silver2017mastering}, RL algorithms have devised strategies that significantly surpass the performance of experts, even with li... | {
"timestamp": "2020-10-26T01:02:39",
"yymm": "2010",
"arxiv_id": "2010.12001",
"language": "en",
"url": "https://arxiv.org/abs/2010.12001"
} |
\section{Significance Statement}
\section{Introduction}
\label{sec:Intro}
Shape defines the cell. In the 1677 book \textit{Micrographia}, Robert
Hooke showed sections within a herbaceous plant under a
microscope. The shape of those sections resembles cells in a
monastery, so he named the structures cells \cite{Hooke166... | {
"timestamp": "2020-10-26T01:04:42",
"yymm": "2010",
"arxiv_id": "2010.12054",
"language": "en",
"url": "https://arxiv.org/abs/2010.12054"
} |
\section{Future Work}
We have designed our framework in the way that the architecture allows anybody to modify or extend the existing solution. We have put a special effort into building up the an abstract system that allows us to scale the current solution to a much larger solution with a reasonable amount of additi... | {
"timestamp": "2020-10-26T01:02:16",
"yymm": "2010",
"arxiv_id": "2010.11991",
"language": "en",
"url": "https://arxiv.org/abs/2010.11991"
} |
\section{Introduction}
\blfootnote{
%
%
%
%
\hspace{-0.65cm}
This work is licensed under a Creative Commons
Attribution 4.0 International License.
License details:
\url{http://creativecommons.org/licenses/by/4.0/}.
}
T... | {
"timestamp": "2020-10-26T01:01:09",
"yymm": "2010",
"arxiv_id": "2010.11973",
"language": "en",
"url": "https://arxiv.org/abs/2010.11973"
} |
\section{Introduction}\label{sec:intro}
The theory of derivators was developed initially (under different names) by Heller in \cite{Hel88}, Grothendieck in \cite{Gro90}, and (in the triangulated setting) Franke in \cite{Fra96}. In brief, a derivator represents an abstract bicomplete homotopy theory; we attach the adj... | {
"timestamp": "2020-10-26T01:04:53",
"yymm": "2010",
"arxiv_id": "2010.12057",
"language": "en",
"url": "https://arxiv.org/abs/2010.12057"
} |
\section{Introduction}
Transition metal dichalcogenide (TMD) monolayers are atomically thin semiconductors that belong to the family of $2D$ nanosheets \cite{manzeli20172d,chhowalla2013chemistry}. They present an MX$_{2}$ arrangement, where M is a transition metal, and X is a chalcogen. The combination of chalcogen (e... | {
"timestamp": "2020-10-26T01:01:24",
"yymm": "2010",
"arxiv_id": "2010.11976",
"language": "en",
"url": "https://arxiv.org/abs/2010.11976"
} |
\section{Introduction}
Electrons and positrons in the cosmic radiation are important pieces of a puzzle, that of the origin of cosmic rays (CRs), that need to fall in the right places, together with the other numerous pieces associated with both primary and secondary nuclei~\cite{Blasi2013aarv,AmatoBlasi2018,Gabici201... | {
"timestamp": "2020-10-26T01:00:19",
"yymm": "2010",
"arxiv_id": "2010.11955",
"language": "en",
"url": "https://arxiv.org/abs/2010.11955"
} |
\section*{Broader Impact}
The model used in this paper is fundamentally an associative-based language model. %
While NVI does provide some degree of regularization, a significant component of the training criteria is still a cross-entropy loss. %
Further, this paper's model does not examine adjusting this cross-entr... | {
"timestamp": "2020-10-26T01:04:51",
"yymm": "2010",
"arxiv_id": "2010.12055",
"language": "en",
"url": "https://arxiv.org/abs/2010.12055"
} |
\section{The problem}
\paragraph{Main goal.}
The objective of this note is showing that the universal families of
echo state networks (ESNs) devised in the main theorem of \cite{RC7} can be chosen to satisfy the echo state and the fading memory properties. This fact was not established in the original paper and showi... | {
"timestamp": "2020-10-26T01:04:28",
"yymm": "2010",
"arxiv_id": "2010.12047",
"language": "en",
"url": "https://arxiv.org/abs/2010.12047"
} |
\subsection{Polyhedral Abstractions}
Polyhedral compilers focus on fragments of programs that exhibit
static control parts (SCoPs)\cite{feautrier.ijpp.1991,feautrier.ijpp.1992a,feautrier.ijpp.1992b}.
From these, four abstractions are extracted: iteration domains, access functions,
dependence polyhedra and scattering/... | {
"timestamp": "2020-10-26T01:02:30",
"yymm": "2010",
"arxiv_id": "2010.11999",
"language": "en",
"url": "https://arxiv.org/abs/2010.11999"
} |
\section{Introduction}\label{sec:introduction}
Crowd analysis is a phenomenon of great interest in a large number of applications. Surveillance, entertainment and social sciences are fields that can benefit from the development of this area of study. Literature dealt with different applications of crowd analysis, for ... | {
"timestamp": "2020-10-26T01:02:23",
"yymm": "2010",
"arxiv_id": "2010.11995",
"language": "en",
"url": "https://arxiv.org/abs/2010.11995"
} |
\section{Introduction}
One major mechanism for self-organization between (and within cells) is the combination of diffusion and nonlinear chemical reactions. The notion that a reaction-diffusion (RD) system can spontaneously generate spatiotemporal patterns was first introduced by Turing in his seminal 1952 paper on m... | {
"timestamp": "2020-10-23T02:29:30",
"yymm": "2010",
"arxiv_id": "2010.11920",
"language": "en",
"url": "https://arxiv.org/abs/2010.11920"
} |
\section{Introduction}
We say that a graph $G$ is a {\it Ramsey graph for the pair of graphs} $(F,H)$ if, in every edge colouring $c: E(G) \to \{1,2\}$, we can find either a $1$-coloured copy of $F$ or a $2$-coloured copy of $H$.
We write $G \rightarrow (F,H)$ if $G$ is Ramsey for $(F,H)$, and $G \ensuremath{\nrighta... | {
"timestamp": "2020-10-23T02:29:48",
"yymm": "2010",
"arxiv_id": "2010.11933",
"language": "en",
"url": "https://arxiv.org/abs/2010.11933"
} |
\section{Proof of \texorpdfstring{\cref{thm:main-noisy-binary-search}}{Theorem 19}}\label{app:main-noisybs-proof}
We first recall \cref{thm:main-noisy-binary-search}.
\mainNoisyBinarySearch*
We emphasize that the exact boundaries of any block $\phi^{-1}(j)$ or interval $\+I[L,R]$ are not known to the binary search ... | {
"timestamp": "2020-10-26T01:02:15",
"yymm": "2010",
"arxiv_id": "2010.11989",
"language": "en",
"url": "https://arxiv.org/abs/2010.11989"
} |
\subsubsection*{Acknowledgements} \label{sec:acknowledgements}
We would like to thank Been Kim and Sara Hooker for their insightful feedback.
\section{Best practices for robust, falsifiable interpretability research} \label{sec:best_practices}
We have attempted to illustrate how the seductive appeal of intuition and ... | {
"timestamp": "2020-10-26T01:04:00",
"yymm": "2010",
"arxiv_id": "2010.12016",
"language": "en",
"url": "https://arxiv.org/abs/2010.12016"
} |
\section{Introduction}
\label{sec:intro}
Recent years have witnessed rapid progress in Generative Adversarial Networks (GAN) ~\citep{goodfellow2014neurips} with improvements in architecture designs \citep{radford2015unsupervised,karras2018iclr,zhang2018self,karras2019style}, training techniques~\citep{salimans2016impro... | {
"timestamp": "2020-10-23T02:29:57",
"yymm": "2010",
"arxiv_id": "2010.11943",
"language": "en",
"url": "https://arxiv.org/abs/2010.11943"
} |
\section{Introduction}
On June 19, 2020, the Japanese government developed and released COVID-19 Contact-Confirming Application (COCOA)~\cite{ref:usage}, which was the smartphone app to decrease the number of COVID-19 infectors.
By using COCOA, the users can know whether or not they are contact with the infectors (refe... | {
"timestamp": "2020-10-26T01:05:12",
"yymm": "2010",
"arxiv_id": "2010.12067",
"language": "en",
"url": "https://arxiv.org/abs/2010.12067"
} |
\section{Introduction}
Advances on the research of autonomous vehicles have spread their use in applications such as environmental monitoring, surveillance, and military operations. In such cases, the tasks include typical \emph{routing problems}, whose solutions are variants of the classic \ac{TSP}. However, charact... | {
"timestamp": "2020-10-23T02:29:48",
"yymm": "2010",
"arxiv_id": "2010.11932",
"language": "en",
"url": "https://arxiv.org/abs/2010.11932"
} |
\section{Introduction}
The general consensus is that solar flares are powered by magnetic reconnection. However, the details of the dynamics involved in this reconnection process are not fully understood. As the instrumentation observing solar flares improves in spatial resolution and temporal cadence, a wealth of me... | {
"timestamp": "2020-10-26T01:04:30",
"yymm": "2010",
"arxiv_id": "2010.12049",
"language": "en",
"url": "https://arxiv.org/abs/2010.12049"
} |
\section{Introduction}
Determining the transport coefficients of the quark-gluon plasma, such as its shear ($\eta$) and bulk ($\zeta$) viscosities, is one of the goals of heavy-ion physics.
One of the motivations is the early recognition that the quark-gluon plasma produced in heavy-ion collisions has a very low shear... | {
"timestamp": "2020-10-23T02:29:28",
"yymm": "2010",
"arxiv_id": "2010.11919",
"language": "en",
"url": "https://arxiv.org/abs/2010.11919"
} |
\section{Introduction}
One of the central aims of quantum information science is to precisely understand the limitations governing the use of quantum systems in order to develop the most efficient ways to take advantage of the laws of quantum physics. At the heart of such questions lies the study of quantum channels... | {
"timestamp": "2020-10-23T02:29:53",
"yymm": "2010",
"arxiv_id": "2010.11942",
"language": "en",
"url": "https://arxiv.org/abs/2010.11942"
} |
\section{Introduction}
Deep networks have enabled significant advances in many machine learning tasks over the last decade. However, this usually requires supervised learning, based on large and carefully curated datasets. Self-supervised learning (SSL)~\cite{self_supervised_survey} aims to alleviate this limitation, b... | {
"timestamp": "2020-10-26T01:04:33",
"yymm": "2010",
"arxiv_id": "2010.12050",
"language": "en",
"url": "https://arxiv.org/abs/2010.12050"
} |
\section{Introduction}
\label{sec:introduction}
The European Union (EU) energy policy has considered energy efficiency as one of it its main targets \cite{dupont_defusing_2020}. By the Directive 2012/27/EU of 25 October 2012, the over arching goal is to accomplish the 2020 targets by the member states \cite{langsdorf20... | {
"timestamp": "2020-11-03T02:23:50",
"yymm": "2010",
"arxiv_id": "2010.12064",
"language": "en",
"url": "https://arxiv.org/abs/2010.12064"
} |
\section{Introduction}
The \texttt{iopart-num} Bib\TeX{} style is intended for use in
preparing manuscripts for Institute of Physics Publishing journals,
including Journal of Physics. It provides numeric citation with
Harvard-like formatting, based upon the specification in ``How to
prepare and submit an article for ... | {
"timestamp": "2020-10-26T01:05:34",
"yymm": "2010",
"arxiv_id": "2010.12073",
"language": "en",
"url": "https://arxiv.org/abs/2010.12073"
} |
\section{Introduction}
CRs are highly energetic particles that pervade most astrophysical plasmas. While CR electrons are important agents that shape the non-thermal emission seen in radio, X-ray and $\gamma$-ray observations, CR protons in the Milky Way's mid-plane contain on average 100 times more energy than CR ele... | {
"timestamp": "2020-10-26T01:00:26",
"yymm": "2010",
"arxiv_id": "2010.11960",
"language": "en",
"url": "https://arxiv.org/abs/2010.11960"
} |
\section{Additional Details and Analysis of \textsc{MaMa}}
\subsection{Implementation Details}
\label{sec:implement}
To evaluate the mapped facts, we first use Match\ stage of \textsc{MaMa}\ to run over the corresponding documents to generate the candidate facts. For Map\ stage on TAC KBP, we link to the... | {
"timestamp": "2020-10-26T01:00:44",
"yymm": "2010",
"arxiv_id": "2010.11967",
"language": "en",
"url": "https://arxiv.org/abs/2010.11967"
} |
\section{Introduction}
\input{sections/intro}
\section{Related Work}
\input{sections/related_work}
\section{Meta-Learning for Domain Generalization}
\label{sec:maml}
\input{sections/maml}
\section{Semantic Parser}
\input{sections/parser_v2}
\section{Experiments}
\label{sec:experiments}
\input{sections/experiments}
... | {
"timestamp": "2020-10-26T01:02:14",
"yymm": "2010",
"arxiv_id": "2010.11988",
"language": "en",
"url": "https://arxiv.org/abs/2010.11988"
} |
\section{Introduction}\label{intro}
Let $S_g$ be a hyperbolic genus $g\geq 2$ surface, i.e. a complete compact orientable genus $g$ topological surface endowed with a metric of constant sectional curvature $-1$. Equivalently, if $\Gamma$ is a discrete torsion-free subgroup of $PSL(2, \mathbb{R})$ acting by isometries ... | {
"timestamp": "2020-10-26T01:04:13",
"yymm": "2010",
"arxiv_id": "2010.12028",
"language": "en",
"url": "https://arxiv.org/abs/2010.12028"
} |
\section{Introduction}
This paper focuses on the problem of predicting the motion of agents surrounding a self-driving vehicle, such as pedestrians and vehicles driven by humans. As any vehicle, a self-driving vehicle needs certain time to change its speed, and sudden changes in speed and acceleration may feel very un... | {
"timestamp": "2020-10-26T01:03:19",
"yymm": "2010",
"arxiv_id": "2010.12007",
"language": "en",
"url": "https://arxiv.org/abs/2010.12007"
} |
\section{Introduction}
Superconducting nanowire single-photon detectors (SNSPD) are typically made from a thin layer of superconducting film structured into long, parallel straight nanowires that are connected in series to form meandering segments. For such a structure the switching current ($I_C$) and its local distr... | {
"timestamp": "2020-10-23T02:29:50",
"yymm": "2010",
"arxiv_id": "2010.11938",
"language": "en",
"url": "https://arxiv.org/abs/2010.11938"
} |
\section{INTRODUCTION}
Despite the widespread adoption and progress made toward the Sustainable Development Goals (SDGs), Africa still lags behind most of the world when it comes to socio-economic and industrial development. According to the
United Nations' report on global human development index, as of today, only ... | {
"timestamp": "2020-10-26T01:04:02",
"yymm": "2010",
"arxiv_id": "2010.12020",
"language": "en",
"url": "https://arxiv.org/abs/2010.12020"
} |
\section{Introduction}
Carbon nanotube (CNT) films are promising materials for a number of applications,~\cite{Jariwala_2013_cnt_applications_rev,Arnold_2013_cnt_review,Laird_review_2015} including energy-harvesting photovoltaics.~\cite{Arnold_Films_Harvesting_2011,Jeon_cnt_transparent_electrode_2015,near_IR_photovolt... | {
"timestamp": "2020-10-26T01:02:20",
"yymm": "2010",
"arxiv_id": "2010.11992",
"language": "en",
"url": "https://arxiv.org/abs/2010.11992"
} |
\section{Introduction}
Machine learning has been successfully utilized in a wide variety of real world applications including information retrieval, computer graphics, speech recognition, and text mining.
Technology companies like Amazon, Google, and Microsoft already provide MLaaS (Machine Learning as a Service), wh... | {
"timestamp": "2020-10-26T01:00:08",
"yymm": "2010",
"arxiv_id": "2010.11947",
"language": "en",
"url": "https://arxiv.org/abs/2010.11947"
} |
\section{Introduction}
Our brains simultaneously process various streams of temporal information allowing us to solve challenging real-world problems that ensure our survival.
Importantly, brains do this with an aptitude that dwarfs existing computer technologies while only consuming a meek 25W of power.
Neuromorphi... | {
"timestamp": "2020-10-23T02:29:43",
"yymm": "2010",
"arxiv_id": "2010.11931",
"language": "en",
"url": "https://arxiv.org/abs/2010.11931"
} |
\section{Introduction}
As current- and next-generation telescopes are constructed, they are projected
to generate more data than ever before. This fact is particularly true for the
field of radio astronomy, where the volume of interferometric datasets are among
the largest in astronomy. Part of the reason for the large... | {
"timestamp": "2020-10-26T01:00:56",
"yymm": "2010",
"arxiv_id": "2010.11969",
"language": "en",
"url": "https://arxiv.org/abs/2010.11969"
} |
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