From e8e34bc88e7cc5c3b27b9ea7daa23dbaa4f6504f Mon Sep 17 00:00:00 2001 From: Scott Linderman Date: Fri, 12 Jul 2024 16:11:29 -0700 Subject: [PATCH] dummy edit to trigger workflow --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index bd415263..e845a2ac 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -68,7 +68,7 @@ The API for `Dynamax` is divided into two parts: a set of core, functionally pur The high-level model API makes it easy to construct, fit, and inspect HMMs and linear Gaussian SSMs. Finally, the online `Dynamax` documentation and tutorials provide a wealth of resources for state space modeling experts and newcomers alike. -`Dynamax` has supported several publications. The low-level API has been used in machine learning research [@zhao2023revisiting; @lee2023switching; @chang2023low]. More sophisticated, special purpose models on top of `Dynamax`, like the Keypoint-MoSeq library for modeling postural dynamics of animals [@weinreb2024keypoint]. Finally, the `Dynamax` tutorials are used as reference examples in a major machine learning textbook [@murphy2023probabilistic]. +`Dynamax` has supported several publications. The low-level API has been used in machine learning research [@zhao2023revisiting; @lee2023switching; @chang2023low]. More sophisticated, special purpose models on top of `Dynamax`, like the Keypoint-MoSeq library for modeling postural dynamics of animals [@weinreb2024keypoint]. Finally, the `Dynamax` tutorials are used as reference examples in a major machine learning textbook [@murphy2023probabilistic]. # Acknowledgements