More centering

README.md

@@ -38,13 +38,15 @@ performance or outcome of some model trained on it. Some concepts of
 value depend on a specific model of interest, while others are model-agnostic.
 pyDVL focuses on model-dependent methods.
 
-<div style="text-align: center;">
+<div>
     <img
         width="70%"
+        align="center"
+        style="display: block; margin-left: auto; margin-right: auto;"
         src="docs/value/img/mclc-best-removal-10k-natural.svg"
         alt="best sample removal"
     />
-    <p style="text-align: center;">
+    <p align="center" style="text-align:center;">
         Comparison of different data valuation methods
         on best sample removal.
     </p>
@@ -55,13 +57,15 @@ training points have over the parameters of a model, or any function thereof.
 In particular, in machine learning they are also used to compute the effect
 of training samples over individual test points.
 
-<div style="text-align: center;">
+<div>
     <img
         width="70%"
+        align="center"
+        style="display: block; margin-left: auto; margin-right: auto;"
         src="docs/assets/influence_functions_example.png"
         alt="best sample removal"
     />
-    <p style="text-align: center;">
+    <p align="center" style="text-align:center;">
         Influences of input points with corrupted data.
         Highlighted points have flipped labels.
     </p>