From e84b63efcd6f3bb75fa1ecb0acb546f38fb70aad Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Leandro=20S=C3=A1nchez-Betancourt?=
 <leandro.sbetancourt@gmail.com>
Date: Mon, 13 May 2024 11:53:36 +0100
Subject: [PATCH] Update research.html

---
 research.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/research.html b/research.html
index 8b7b51e..9cca81f 100644
--- a/research.html
+++ b/research.html
@@ -84,7 +84,7 @@ <h5>Published/accepted journal papers</h5>
             <h5>Conference/workshop papers</h5>
 
             <ul>
-                  <li> Duran-Martin, G., Altamirano, M., Shestopaloff, A., S\'anchez-Betancourt, L., Knoblauch, J., Jones, M., Briol, F-X., Murphy, K. P. (2024). Outlier-robust Kalman Filtering through Generalised Bayes. Proceedings of the 41st <em><u>International Conference on Machine Learning</u></em> (ICML), Viena, Austria, 2024. <a href="https://arxiv.org/abs/2405.05646">Link</a>.   </li>   
+                  <li> Duran-Martin, G., Altamirano, M., Shestopaloff, A., Sánchez-Betancourt, L., Knoblauch, J., Jones, M., Briol, F-X., Murphy, K. P. (2024). Outlier-robust Kalman Filtering through Generalised Bayes. Proceedings of the 41st <em><u>International Conference on Machine Learning</u></em> (ICML), Viena, Austria, 2024. <a href="https://arxiv.org/abs/2405.05646">Link</a>.   </li>   
                   <li>Jerome, J., Sánchez-Betancourt, L., Savani, R., & Herdegen, M.  (2023).  Model-based gym environments for limit order book trading. <em><u>4th ACM International Conference on AI in Finance</u></em> (ICAIF), New York, USA, 2023. <a href="https://arxiv.org/abs/2209.07823">Link</a>.  <a href="https://github.com/JJJerome/mbt_gym">Code</a>. </li>
                   <li>Höglund, M., Ferrucci, E., Hernández, C.,  Muguruza Gonzalez, A., Salvi, C., Sánchez-Betancourt, L., & Zhang, Y.  (2023).  A Neural RDE approach for continuous-time non-Markovian stochastic control problems. Workshop on <em><u>New Frontiers in Learning, Control, and Dynamical Systems</u></em> at the <em><u>International Conference on Machine Learning</u></em> (ICML), Honolulu, Hawaii, USA, 2023. <a href="https://arxiv.org/abs/2306.14258">Link</a>.   </li>   
             </ul>