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proofpile-arXiv_065-129 | \section{Introduction}
\begin{figure*}[t!]
\centering
\includegraphics[width=0.75\textwidth]{introduction_modified.pdf}
\caption{(a) Each angle of illumination, here labelled as angular axis, corresponds to a time step in an analogous temporal axis. (b) The raw intensity diffraction pattern $\mathbf{g}_n,\:... | 2024-02-18T23:39:40.296Z | 2020-07-22T02:14:35.000Z | algebraic_stack_train_0000 | 21 | 7,788 | |
proofpile-arXiv_065-174 |
\section{Introduction}
Multi-body hadronic $D^{0(+)}$ decays provide an ideal laboratory to study strong and weak interactions.
Amplitude analyses of these decays offer comprehensive information of quasi-two-body $D^{0(+)}$ decays, which are important to explore $D\bar D^0$ mixing,
charge-parity ($CP$) violation and q... | 2024-02-18T23:39:40.538Z | 2020-07-22T02:07:39.000Z | algebraic_stack_train_0000 | 30 | 6,423 | |
proofpile-arXiv_065-176 | \section{Introduction}
Recently there have been many efforts to imbue deep-learning models with the ability to perform causal inference. This has been motivated primarily by the inability of traditional correlative models to make predictions on interventional and counterfactual questions \cite{pcrbook, pearlbook}, as ... | 2024-02-18T23:39:40.542Z | 2020-07-28T02:38:45.000Z | algebraic_stack_train_0000 | 31 | 5,536 | |
proofpile-arXiv_065-223 | \section{Introduction}
Prediction algorithms use data, necessarily sampled under specific conditions, to learn correlations that extrapolate to new or related data. If successful, the performance gap between these two environments is small, and we say that algorithms \textit{generalize} beyond their training data. Doin... | 2024-02-18T23:39:40.738Z | 2021-05-26T02:14:14.000Z | algebraic_stack_train_0000 | 41 | 6,422 | |
proofpile-arXiv_065-236 | "\\section{Introduction}\n\nDielectric multilayers constitute one of the simplest and most common cl(...TRUNCATED) | 2024-02-18T23:39:40.774Z | 2020-07-22T02:10:59.000Z | algebraic_stack_train_0000 | 43 | 5,125 | |
proofpile-arXiv_065-324 | "\\section{Introduction}\r\nLet $\\mathbb{N}$ be the set of all nonnegative integers. For any sequen(...TRUNCATED) | 2024-02-18T23:39:41.119Z | 2020-07-22T02:08:34.000Z | algebraic_stack_train_0000 | 63 | 4,189 | |
proofpile-arXiv_065-355 | "\\section{Introduction}\\label{sec:intro} \nStudies of $0^{+} \\rightarrow 0^{+}$ superallowed $\\(...TRUNCATED) | 2024-02-18T23:39:41.242Z | 1996-09-10T18:08:26.000Z | algebraic_stack_train_0000 | 70 | 3,900 | |
proofpile-arXiv_065-371 | "\\section{Introduction}\\label{sec:intro}\n\nThe theoretical possibility that strange quark matter (...TRUNCATED) | 2024-02-18T23:39:41.273Z | 1996-09-09T11:46:30.000Z | algebraic_stack_train_0000 | 73 | 5,750 | |
proofpile-arXiv_065-444 | "\\section{INTRODUCTION}\n\nA precise theoretical framework is needed for \nthe study of the quark m(...TRUNCATED) | 2024-02-18T23:39:41.503Z | 1996-08-31T13:17:48.000Z | algebraic_stack_train_0000 | 85 | 2,581 | |
proofpile-arXiv_065-456 | "\\subsection*{Acknowledgments}\nThis work was supported by the US Department of Energy, Nuclear Phy(...TRUNCATED) | 2024-02-18T23:39:41.530Z | 1996-09-16T21:51:35.000Z | algebraic_stack_train_0000 | 88 | 25 |
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