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\title{Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation}

% The standard author block has changed for UAI 2025 to provide
% more space for long author lists and allow for complex affiliations
%
% All author information is authomatically removed by the class for the
% anonymous submission version of your paper, so you can already add your
% information below.

% Add authors
\author[1,2]{\href{mailto:<simon.dirmeier@sdsc.ethz.ch>?Subject=Your UAI 2025 paper}{Simon~Dirmeier}{}}
\author[3]{Carlo~Albert}
\author[2,4]{Fernando~Perez-Cruz}

% Add affiliations after the authors
\affil[1]{%
    Swiss Data Science Center, Switzerland
}
\affil[2]{%
    ETH Zurich, Switzerland
}
\affil[3]{%
    Swiss Federal Institute of Aquatic Science and Technology, Switzerland
}
\affil[4]{%
    Bank for International Settlements, Switzerland
}
  
  \begin{document}
\maketitle

\begin{abstract}
\input{chps/abstract}
\end{abstract}

\section{{Introduction}}
\input{chps/introduction}

\section{{Background}}
\label{sec:background}
\input{chps/background}

\section{{Surjective Sequential Neural Likelihood Estimation}}
\label{sec:methods}
\input{chps/methods}

\section{{Experiments}}
\label{sec:experiments}
\input{chps/experiments}

\section{{Related work}}
\label{sec:related}
\input{chps/related_work}

\section{{Conclusion}}
\label{sec:conclusion}
\input{chps/conclusion}

\begin{acknowledgements}
This research was supported by the Swiss National Science Foundation (Grant No. $200021\_208249$). We thank all anonymous reviewers for their feedback which helped to improve the manuscript.
\end{acknowledgements}

% References

\bibliography{references}

\newpage
\onecolumn
\title{Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation\\(Supplementary Material)}
\maketitle

\appendix
\input{chps/supplement}

\end{document}
