\begin{tabular}{ll}
\toprule
 & HMAF (S) \\
\midrule
Two-Stage Training & True \\
First Marginal Bijector & BernsteinPolynomial \\
Invert First Marginal Bijector & True \\
Marginal Bijector Extrapolation & True \\
First Marginal Bijector Parameter Constraint Function & mctm.activations.get\_thetas\_constrain\_fn \\
Allow Flexible Bounds for First Marginal Bijector & False \\
Bounds constraints for First Marginal Bijector & smooth \\
First Marginal Bijector Codomain Max & 4 \\
First Marginal Bijector Codomain Min & -4 \\
Parameters Function for First Marginal Bijector & parameter\_vector \\
First Marginal Bijector Parameter Shape 1 & 2048 \\
Marginal Reduce LR on Plateau & False \\
Marginal Early Stopping & 30 \\
Marginal Monitor & val\_loss \\
Marginal Verbosity & True \\
Joint Epochs & 200 \\
Joint Learning Rate Decay Steps & 200 \\
Joint Learning Rate Scheduler & cosine\_decay \\
Joint Early Stopping & 30 \\
Type of Joint Flow & masked\_autoregressive\_flow\_first\_dim\_masked \\
Number of Flows & 10 \\
Use Invertible Linear Transformations & True \\
Random Permutation Seed & 1 \\
Joint Bijector & RationalQuadraticSpline \\
Joint Bijector Range Min & -4 \\
Interval Width for Joint Bijector & 8 \\
Minimum Slope for Joint Bijector & 0.001 \\
Minimum Bin Width for Joint Bijector & 0.001 \\
Number of Bins for Joint Bijector & 8 \\
Number of Parameters for Joint Bijectors & 23 \\
Activation Function for MAF & relu \\
Activation Function for X0 Parameters & relu \\
Batch Normalization for X0 Parameters & False \\
Dropout Rate for X0 Parameters & False \\
\bottomrule
\end{tabular}
