diff --git a/README.md b/README.md
index c824b7d..f25dc49 100644
--- a/README.md
+++ b/README.md
@@ -68,7 +68,7 @@ python multitaskAIS.py \
After the Embedding layer is trained, we can run task-specific blocks.
#### save_outcomes
-To avoid re-caculating the $log[p(x_t|x_{1..t-1},x_{1..t-1})]$ for each tasks, we calculate them once and save as .pkl file.
+To avoid re-caculating the 
for each tasks, we calculate them once and save as .pkl file.
```
python multitaskAIS.py \
--mode=save_outcomes \
@@ -83,7 +83,7 @@ python multitaskAIS.py \
Similarly for the test set (```testset_name=dataset8/dataset8_valid.pkl```).
#### log_density
-*log_density* calculates the distribution of $log[p(x_t|x_{1..t-1},x_{1..t-1})]$ in each small cells of the ROI.
+*log_density* calculates the distribution of in each small cells of the ROI.
```
python multitaskAIS.py \
--mode=save_outcomes \
diff --git a/tex/a2f89e4ad54362f5c067ab4838f1ee5a.svg b/tex/a2f89e4ad54362f5c067ab4838f1ee5a.svg
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