updated news

Author: Nguyen Thanh Tung

news.html

@@ -65,6 +65,7 @@ <h2>Recent Updates!</h2>
 
   <li style="text-align:center"><span style="font-size: 26px"><strong>2025</strong></span></li>
 
+  <li><b>11/26/25: </b>Congratulations to Siddhant Gautam for winning the Spring 2026 Ginther Research Fellowship!</li>
   <li><b>09/23/25: </b>Our paper “Sparse Methods for Vector Embeddings of TPC Data” was accepted as a poster at the ML4PS workshop at NeurIPS 2025! Written by SLIM’s Tyler Wheeler & student Ryan Krupp, with Sai Ravishankar; GADGET collaborator Chris Wrede; and ALPhA collaborators Michelle Kuchera, Raghuram Ramanujan, Connor Cross, Hoi Yan Ian Heung, Andrew Jones, and Benjamin Votaw.</li>
   <li><b>09/18/25: </b>Two of our papers have been accepted to NeurIPS 2025! The first, titled <i>"Variational Learning Finds Flatter Solutions at the Edge of Stability"</i>, was accepted as a spotlight presentation and is authored by Avrajit Ghosh, Bai Cong, Rio Yokota, Saiprasad Ravishankar, Rongrong Wang, Molei Tao, Mohammad Emtiyaz Khan, and Thomas Möllenhoff. The second, <i>"UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights"</i>, is authored by Shijun Liang, Ismail R. Alkhouri, Siddhant Gautam, Qing Qu, and Saiprasad Ravishankar.<a href="https://arxiv.org/abs/2506.12903" target="_blank" style="color: blue; text-decoration: underline;">(arXiv 1)</a>, <a href="https://arxiv.org/abs/2505.11720" target="_blank" style="color: blue; text-decoration: underline;">(arXiv 2)</a></li>
   <li><b>09/05/25: </b>Our paper on "Understanding Untrained Deep Models for Inverse Problems: Algorithms and Theory" by Ismail Alkhouri, Evan Bell, Avrajit Ghosh, Shijun Liang, Rongrong Wang, and Saiprasad Ravishankar was accepted to the Special Issue on The Mathematics of Deep Learning in the IEEE Signal Processing Magazine. <a href="https://arxiv.org/abs/2502.18612" target="_blank" style="color: blue; text-decoration: underline;">(arXiv)</a></li>