From 66ab6413de42d91b8ea5d425636f5721f61b1426 Mon Sep 17 00:00:00 2001
From: Vasil Zlatanov <v@skozl.com>
Date: Thu, 7 Mar 2019 16:26:28 +0000
Subject: Add table

---
 report/paper.md | 19 +++++++++++++++++++
 1 file changed, 19 insertions(+)

diff --git a/report/paper.md b/report/paper.md
index 0227b1e..e1a78c6 100644
--- a/report/paper.md
+++ b/report/paper.md
@@ -73,6 +73,7 @@ challenge and how they are specifically addressing. Is there the **mode collapse
 
 # Inception Score
 
+
 ## Classifier Architecture Used
 
 ## Results
@@ -86,6 +87,24 @@ MNIST real testing set (10K), in comparison to the inception scores.
 **Please measure and discuss the inception scores for the different hyper-parameters/tricks and/or
 architectures in Q2.**
 
+We measure the performance of the considered GAN's using the Inecption score [@inception], as calculated
+with L2-Net logits.
+
+$$ \textrm{IS}(x) = \exp(\mathcal{E}_x \left( \textrm{KL} ( p(y\|x) \|\| p(y) ) \right) ) $$
+
+GAN type     Inception Score (L2-Net)
+------------ -----------------------------
+MNIST(ref)   9.67  
+cGAN         6.01
+cGAN+VB      6.2
+cGAN+LS      6.3
+cGAN+VB+LS   6.4
+cDCGAN+VB    6.5
+cDCGAN+LS    6.8
+cDCGAN+VB+LS 7.3
+
+
+
 # Re-training the handwritten digit classifier
 
 ## Results
-- 
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