This is the Overleaf port of the Cambridge University by Philipp Hennig http://www.inference.org.uk/ph347/beamer.html
% Copyright 2007 by Till Tantau
% Copyright 2014 by Rich Wareham, Filippo Spiga
% Copyright 2016 by Petar Veličković
% Copyright 2020 by Shivam N Patel
% This file may be distributed and/or modified:
% 1. under the LaTeX Project Public License and/or
% 2. under the GNU Public License.
%
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% Author, Title, etc.
\title[Cross-modal convnets]
{%
{\bf Cross-modal neural networks with intra-layer\\ specialisation and inter-layer feedback}%}
}
\author[Veli\v{c}kovi\'{c} et al.]
{
\underline{Petar Veli\v{c}kovi\'{c}}\inst{1}, Duo Wang\inst{1}, Benjamin Day\inst{1}, Filippo Spiga\inst{2} and Pietro Li\`{o}\inst{1}
}
\institute[CL]
{\inst{1}Computer Laboratory, University of Cambridge, UK\\
\inst{2}Research Computing Services, UIS, University of Cambridge, UK}
\date[ARMRS2016]
{ARM Research Summit 2016 \hfill \today}
% The main document
\begin{document}
\begin{frame}
\titlepage
\end{frame}
\section{Introduction}
\subsection{The Model and the Problem}
\begin{frame}{What is haplotyping and why is it important?}
You hopefully know this after the previous three talks\dots
\[x^2 - y^2 = \int_{10}^{11} {x^2 dx}\]
\end{frame}
\begin{frame}[t]{General formalization of thetyping.}
\begin{block}{Inputs}
\begin{itemize}
\item A \alert{genotype matrix} $G$.
\item The \alert{rows} of the matrix are \alert{taxa / individuals}.
\item The \alert{columns} of the matrix are \alert{SNP sites /
characters}.
\end{itemize}
\end{block}
\begin{block}{Outputs}
\begin{itemize}
\item A \alert{haplotype matrix} $H$.
\item Pairs of rows in $H$ \alert{explain} the rows of $G$.
\item The haplotypes in $H$ are \alert{biologically plausible}.
\end{itemize}
\end{block}
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\end{document}