Merge pull request #56 from UTAustin-SwarmLab/ssn-cps-updates

adjusted the viz

Author: saishankarn

_posts/2025-10-10-CPS.md

@@ -18,7 +18,7 @@ Proceedings of the 39th Conference on Neural Information Processing Systems (Neu
 ## Motivation
 Imagine you are a quantitative researcher who wants to stress-test trading strategies. You would want access to a tool that can precisely generate high-fidelity stock price time series for prompts like 
 
-    Generate Tesla’s stock price for the next month with 5% volatility.
+**Generate Tesla’s stock price for the next month with 5% volatility.**
 
 Additionally, for the stocks domain, there are some inherent rules that a generated sample should adhere to, such as the opening and closing prices for a day should be bounded by the highest and lowest prices for that day. This problem exists in almost all engineering domains, where certain domain-specific constraints may arise due to the laws of physics or the underlying process. We refer to this as the **constrained time series generation problem**.