Update publications.html

Author: evadyer

publications.html

@@ -100,15 +100,15 @@ <h2>Publications</h2>
 
 <h4><strong><span style="text-decoration: underline;">Preprints</span></strong></h4>
     <ul>
- <li>Simon Daste, Tuan H. Pham, Max Seppo, Alexandre André, Shyam Srinivasan, Jingyun Xiao, Andrea Sattin, Chiara Nardin, Tommaso Fellin, Kevin M. Franks, Eva Dyer, Alexander Fleischmann. <a href="https://www.biorxiv.org/content/10.64898/2025.12.12.694045v1"><strong>Projection-specific Routing of Odor Information in the Olfactory Cortex</strong> bioRxiv, Dec 2025</a></span><span dir="ltr" role="presentation">, Transactions on Machine Learning (TMLR), July 2024 <span style="color: #008b8b;"><strong>[TMLR]</strong></span></span></li>
+ <li>Simon Daste, Tuan H. Pham, Max Seppo, Alexandre André, Shyam Srinivasan, Jingyun Xiao, Andrea Sattin, Chiara Nardin, Tommaso Fellin, Kevin M. Franks, Eva Dyer, Alexander Fleischmann. <a href="https://www.biorxiv.org/content/10.64898/2025.12.12.694045v1"><strong>Projection-specific Routing of Odor Information in the Olfactory Cortex</strong></a></span><span dir="ltr" role="presentation">, bioRxiv, Dec 2025</span></li>
 
       <li><span dir="ltr" role="presentation">M. Segado, F. Parodi, J.K. Matelsky, M.L. Platt, E.L. Dyer, K.P. Kording. <a href="https://arxiv.org/abs/2507.02771"><strong>Grounding intelligence in movement</strong></a></span><span dir="ltr" role="presentation">, arXiv preprint arXiv:2507.02771, 2025</span></li>
  <li>R. Liu<span dir="ltr" role="presentation"><sup>+</sup></span>, W. Ma<span dir="ltr" role="presentation"><sup>+</sup></span>, E. Zippi, H. Pouransari, J. Xiao, C. Sandino, B. Mahasseni, J. Minxha, E. Azemi, E.L. Dyer, A. Moin: <a class="gsc_oci_title_link" href="https://arxiv.org/abs/2410.08421" data-clk="hl=en&amp;sa=T&amp;ei=q9R1Z5KoJoSJy9YPi9_90Ac"><strong>Generalizable autoregressive modeling of time series through functional narratives,</strong></a> <span dir="ltr" role="presentation">arXiv, Oct 2024 (+ co-first authors)</span><span dir="ltr" role="presentation"><strong>
 </strong></span></li>
 </ul>
 <h4><strong><span style="text-decoration: underline;">2025</span></strong></h4><div id="gsc_oci_title_wrapper">
 <ul>
-   <li>D. Lachi, M. Azabou, V. Arora, E.L. Dyer. <a href="https://arxiv.org/abs/2407.11907"><strong>GraphFM: A Scalable Framework for Multi-Graph Pretraining</strong></a></span><span dir="ltr" role="presentation">, Transactions on Machine Learning (TMLR), July 2024 <span style="color: #008b8b;"><strong>[TMLR]</strong></span></span></li>
+   <li>D. Lachi, M. Azabou, V. Arora, E.L. Dyer. <a href="https://arxiv.org/abs/2407.11907"><strong>GraphFM: A generalist graph transformer that learns transferable representations across diverse domains</strong></a></span><span dir="ltr" role="presentation">, Transactions on Machine Learning (TMLR), July 2024 <span style="color: #008b8b;"><strong>[TMLR]</strong></span></span></li>
   <li>V. Arora, D. Lachi, I.J. Knight, M. Azabou, B. Richards, C. Hurwitz, J. Siegle, E.L. Dyer. <strong><a href="https://neurips.cc/virtual/2025/poster/115008">Know Thyself by Knowing Others: Learning Neuron Identity from Population Context</a></strong>, The Thirty-Ninth Annual Conference on Neural Information Processing Systems, 2025. <span style="color: #008b8b;"><strong>[NeurIPS 2025]</strong></span></li>
   <li>D. Lachi, M. Mohammadi, J. Meyer, V. Arora, T. Palczewski,  E.L. Dyer. <strong><a href="https://openreview.net/forum?id=fcVIJ2WSIX">RGP: A Cross-Attention based Graph Transformer for Relational Deep Learning</a></strong>, The Fourth Learning on Graphs Conference, 2025. <span style="color: #008b8b;"><strong>[LOG 2025]</strong></span></li>
   <li>V. Arora*, D. Lachi*, S.P. Mahato, M. Azabou, Z. Chen, E.L. Dyer. <strong><a href="https://neurips.cc/virtual/2025/127666">Exploiting All Laplacian Eigenvectors for Node Classification with Graph Transformers</a></strong>, New Perspectives in Graph Machine Learning (NeurIPS workshop), 2025. <span style="color: #008b8b;"><strong>[NPGML 2025]</strong></span></li>