removed other pages, started publications insertion

Author: RaffaeleGiuseppeCestari

_config.yml

@@ -1,4 +1,4 @@
 title: "Learning 2 Control Website"
-remote_theme: pages-themes/cayman@v0.2.0
+remote_theme: pages-themes/architect@v0.2.0
 plugins:
 - jekyll-remote-theme # add this line to the plugins list if you already have one

assets/images/L2C_group.png

@@ -11,18 +11,15 @@ permalink: /publications
 </style>
 
 
-<nav>
-  <ul>
-    <li><a href="{{ site.baseurl }}/">Home</a></li>
-    <li><a href="{{ site.baseurl }}/collaborations">Collaborations</a></li>
-    <li><a href="{{ site.baseurl }}/contacts">Contacts</a></li>
-  </ul>
-</nav>
-
 <section id="publications">
   <h2>Publications</h2>
 
   <ul>
+    <li>
+      <strong><a href="https://www.researchgate.net/profile/Alessandro-Chiuso/publication/378803961_Harnessing_Uncertainty_for_a_Separation_Principle_in_Direct_Data-Driven_Predictive_Control/links/65eacff4aaf8d548dcb0cfc7/Harnessing-Uncertainty-for-a-Separation-Principle-in-Direct-Data-Driven-Predictive-Control.pdf">Harnessing the Final Control Error for Optimal Data-Driven Predictive Control</a></strong><br>
+      <em>Automatica, vol. 173, pages 1-14, March 2025</em><br>
+      <em>A. Chiuso, M. Fabris, V. Breschi, S. Formentin</em>
+    </li>
     <li>
       <strong>Univariate Hawkes-based cryptocurrency forecasting via LOB data</strong><br>
       <em>2025 European Control Conference (ECC)</em><br>
@@ -34,15 +31,30 @@ permalink: /publications
       <em>R. G. Cestari, S. Chiodini, S. Formentin</em>
     </li>
     <li>
-      <strong><a href="https://doi.org/10.1016/j.ejcon.2025.101205">Non-linear multi-objective Bayesian MPC of water reservoir systems</a></strong><br>
-      <em>European Journal of Control, Volume 83, May 2025</em><br>
-      <em>R. G. Cestari, A. Castelletti, S. Formentin</em>
+      <strong>An Inverse Learning Paradigm for Controller Tuning Rules</strong><br>
+      <em>Automatica, 2025</em><br>
+      <em>B. Lakshminarayanan, F. Dettù, C.R. Rojas, S. Formentin </em>
     </li>
     <li>
       <strong>Control-oriented modeling for MPC of water reservoir systems</strong><br>
       <em>International Journal of Control, 2025</em><br>
       <em>R. G. Cestari, A. Castelletti, S. Formentin</em>
     </li>
+    <li>
+      <strong><a href="https://doi.org/10.1016/j.ejcon.2025.101205">Non-linear multi-objective Bayesian MPC of water reservoir systems</a></strong><br>
+      <em>European Journal of Control, Volume 83, May 2025</em><br>
+      <em>R. G. Cestari, A. Castelletti, S. Formentin</em>
+    </li>
+    <li>
+      <strong><a href="https://doi.org/10.1016/j.automatica.2024.112066">Explainable data-driven modeling via mixture of experts: towards effective blending of grey and black-box models</a></strong><br>
+      <em>Automatica, vol. 173, pages 1-15, March 2025</em><br>
+      <em>J. Leoni, V. Breschi, S. Formentin, M. Tanelli</em>
+    </li>
+    <li>
+      <strong><a href="https://doi.org/10.1016/j.automatica.2024.112006">Meta-learning for model-reference data-driven control</a></strong><br>
+      <em>Automatica, vol. 172, pages 1-13, February 2025</em><br>
+      <em>R. Busetto, V. Breschi, S. Formentin</em>
+    </li>
     <li>
       <strong><a href="https://doi.org/10.1016/j.ifacol.2024.08.535">Split-boost neural networks</a></strong><br>
       <em>20th IFAC Symposium on System Identification SYSID 2024: Boston, United States, July 17–19, 2024</em><br>
@@ -53,6 +65,11 @@ permalink: /publications
       <em>20th IFAC Symposium on System Identification SYSID 2024: Boston, United States, July 17–19, 2024</em><br>
       <em>R. G. Cestari, A. Lucchini, E. Leati, M. Norgia, S. Formentin, S. M. Savaresi</em>
     </li>
+    <li>
+      <strong><a href="https://doi.org/10.1080/00207179.2024.2366428">Model predictive control for multi-period portfolio optimization: a trading-oriented learning approach</a></strong><br>
+      <em>International Journal of Control, vol. 1, pages 1-11, June 2024</em><br>
+      <em>F. Abbracciavento, F. Tappi, S. Formentin</em>
+    </li>
     <li>
       <strong><a href="https://doi.org/10.1109/CDC56724.2024.10886552">MPC with adaptive resilience for Denial-of-Service Attacks mitigation on a Regulated Dam</a></strong><br>
       <em>2024 IEEE 63rd Conference on Decision and Control (CDC)</em><br>