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Jan Kowalczyk
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thesis/Main.pdf
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thesis/Main.pdf
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thesis/Main.tex
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thesis/Main.tex
@@ -71,6 +71,11 @@
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\usepackage[colorinlistoftodos]{todonotes}
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%\usepackage[disable]{todonotes}
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\usepackage{makecell}
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\usepackage{longtable}
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\usepackage{array}
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\usepackage{tabularx}
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\newcolumntype{Y}{>{\centering\arraybackslash}X}
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\DeclareRobustCommand{\threadtodo}[4]{%
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\todo[inline,
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@@ -1251,6 +1256,114 @@ Table~\ref{tab:exp_grid} summarizes the full experiment matrix.
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{table of hardware and of how long different trainings took}
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{experiment setup understood $\rightarrow$ what were the experiments' results}
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\begin{table}[p]
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\centering
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\caption{Computational Environment (Hardware \& Software)} \label{tab:system_setup}
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\begin{tabular}{p{0.34\linewidth} p{0.62\linewidth}}
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\toprule
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\textbf{Item} & \textbf{Details} \\
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\midrule
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\multicolumn{2}{l}{\textbf{System}} \\
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Operating System & \ttfamily NixOS 25.11 (Xantusia) \\
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Kernel & \ttfamily 6.12.45 \\
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Architecture & \ttfamily x86\_64 \\
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CPU Model & \ttfamily AMD Ryzen 5 3600 6-Core Processor \\
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CPU Cores (physical) & \ttfamily 6 × 1 \\
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CPU Threads (logical) & \ttfamily 12 \\
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CPU Base Frequency & \ttfamily 2200 MHz \\
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CPU Max Frequency & \ttfamily 4208 MHz \\
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Total RAM & \ttfamily 31.29 GiB \\
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\addlinespace
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\multicolumn{2}{l}{\textbf{GPU}} \\
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GPU Name & \ttfamily NVIDIA GeForce RTX 2070 SUPER \\
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GPU Memory & \ttfamily 8.00 GiB \\
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GPU Compute Capability & \ttfamily 7.5 \\
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NVIDIA Driver Version & \ttfamily 570.181 \\
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CUDA (Driver) Version & \ttfamily 12.8 \\
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\addlinespace
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\multicolumn{2}{l}{\textbf{Software Environment}} \\
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Python & \ttfamily 3.12.11 \\
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PyTorch & \ttfamily 2.7.1+cu128 \\
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PyTorch Built CUDA & \ttfamily 12.8 \\
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cuDNN (PyTorch build) & \ttfamily 91100 \\
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scikit-learn & \ttfamily 1.7.0 \\
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NumPy & \ttfamily 2.3.1 \\
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SciPy & \ttfamily 1.16.0 \\
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NumPy Build Config & \begin{minipage}[t]{\linewidth}\ttfamily\small blas:
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name: blas
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openblas configuration: unknown
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pc file directory: /nix/store/x19i4pf7zs1pp96mikj8azyn6v891i33-blas-3-dev/lib/pkgconfig
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lapack:
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name: lapack
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openblas configuration: unknown
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pc file directory: /nix/store/g819v6ri55f2gdczsi8s8bljkh0lkgwb-lapack-3-dev/lib/pkgconfig\end{minipage} \\
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\addlinespace
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\bottomrule
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\end{tabular}
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\end{table}
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\begin{table}
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\centering
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\caption{Autoencoder pretraining runtime (seconds): mean ± std across folds.}
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\label{tab:ae_pretrain_runtimes}
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\begin{tabularx}{\textwidth}{cYY}
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\toprule
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& Autoencoder Efficient & Autoencoder LeNet \\
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Latent Dim. & & \\
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\midrule
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32 & 1175.03 ± 35.87 s & 384.90 ± 34.59 s \\
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64 & 1212.53 ± 35.76 s & 398.22 ± 41.25 s \\
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128 & 1240.86 ± 11.51 s & 397.98 ± 33.43 s \\
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256 & 1169.72 ± 33.26 s & 399.40 ± 38.20 s \\
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512 & 1173.34 ± 34.99 s & 430.31 ± 38.02 s \\
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768 & 1204.45 ± 37.52 s & 436.49 ± 37.13 s \\
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1024 & 1216.79 ± 34.82 s & 411.69 ± 34.82 s \\
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\bottomrule
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\end{tabularx}
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\end{table}
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\begin{table}
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\centering
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\caption{Training runtime: total seconds (mean ± std). DeepSAD cells also show \textit{seconds per epoch} in parentheses.}
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\label{tab:train_runtimes_compact}
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\begin{tabularx}{\textwidth}{crrrr}
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\toprule
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& DeepSAD LeNet & DeepSAD Efficient & IsoForest & OCSVM \\
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Latent Dim. & & & & \\
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\midrule
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32 & 765.37 ± 91.74 s & 1026.18 ± 84.13 s & 0.55 ± 0.02 s & 1.07 ± 00.29 s \\
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64 & 815.88 ± 93.07 s & 1124.48 ± 60.84 s & 0.55 ± 0.02 s & 1.98 ± 01.57 s \\
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128 & 828.53 ± 63.00 s & 1164.94 ± 02.13 s & 0.55 ± 0.02 s & 3.17 ± 02.63 s \\
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256 & 794.54 ± 97.04 s & 986.88 ± 82.98 s & 0.55 ± 0.02 s & 12.81 ± 14.19 s \\
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512 & 806.63 ± 99.83 s & 998.23 ± 80.34 s & 0.55 ± 0.02 s & 22.76 ± 23.52 s \\
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768 & 818.56 ± 86.38 s & 1053.64 ± 78.72 s & 0.55 ± 0.02 s & 14.24 ± 01.21 s \\
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1024 & 770.05 ± 86.22 s & 1054.92 ± 87.49 s & 0.55 ± 0.02 s & 28.20 ± 24.04 s \\
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\bottomrule
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\end{tabularx}
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\end{table}
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\begin{table}
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\centering
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\caption{Inference latency (ms/sample): mean ± std across folds; baselines collapsed across networks and semi-labeling.}
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\label{tab:inference_latency_compact}
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\begin{tabularx}{\textwidth}{cYcYY}
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\toprule
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& DeepSAD LeNet & DeepSAD Efficient & IsoForest & OCSVM \\
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Latent Dim. & & & & \\
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\midrule
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32 & 0.31 ± 0.04 ms & 0.36 ± 0.05 ms & 0.02 ± 0.00 ms & 0.07 ± 0.02 ms \\
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64 & 0.33 ± 0.06 ms & 0.43 ± 0.04 ms & 0.02 ± 0.00 ms & 0.10 ± 0.06 ms \\
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128 & 0.31 ± 0.04 ms & 0.45 ± 0.02 ms & 0.02 ± 0.00 ms & 0.16 ± 0.09 ms \\
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256 & 0.30 ± 0.04 ms & 0.33 ± 0.02 ms & 0.02 ± 0.00 ms & 0.30 ± 0.21 ms \\
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512 & 0.32 ± 0.04 ms & 0.33 ± 0.02 ms & 0.02 ± 0.00 ms & 0.63 ± 0.65 ms \\
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768 & 0.33 ± 0.03 ms & 0.41 ± 0.06 ms & 0.02 ± 0.00 ms & 0.39 ± 0.07 ms \\
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1024 & 0.27 ± 0.02 ms & 0.39 ± 0.05 ms & 0.02 ± 0.00 ms & 0.94 ± 0.98 ms \\
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\bottomrule
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\end{tabularx}
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\end{table}
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\newchapter{results_discussion}{Results and Discussion}
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\newsection{results}{Results}
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\todo[inline]{some results, ROC curves, for both global and local}
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