update sept papers

Author: Nguyen Thanh Tung

gallery.html

@@ -82,7 +82,7 @@ <h1>Image Grid</h1>
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     <img src="https://lh3.googleusercontent.com/pw/AP1GczN-RzeIrQo_ORWcMH8S2yvi_BvAtyz6o2lmXbIx3HpWW5caKn4Oz7d6Nd95kw4MdZy8NjgIUKWMkLKKLPhW11BZhxvNG_JO133XcmwEImjgoFaf7dDyX6544ZbYeffXkcVOxkmCSS0S2gzezznjoWRR=w333-h250-s-no-gm" style="width:100%" loading="lazy">
-    <p style="font-family: Courier; font-size: 12px"><strong>September 2025 — SLIM mebers digging in to the delicious potluck style picnic at the Sleepy Hollow SLIM Retreat.</strong></p>
+    <p style="font-family: Courier; font-size: 12px"><strong>September 2025 — SLIM members digging in to the delicious potluck style picnic at the Sleepy Hollow SLIM Retreat.</strong></p>
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     <img src="https://lh3.googleusercontent.com/pw/AP1GczNfNbibaUcuKXulT-qF7-BUlvwN-LWm3_T5XTReTaroR7p3mW1UW4rnmZltOKnv4vbuuPq8DQGbSSRvkVjxawEVx5Zkd6DhJALYCCQbWPrW4B4MU9PI6_Ex88-jcTAyXBMlJ16vtZ8AQfD7W3CayHa6=w683-h911-s-no-gm?authuser=0" style="width:100%" loading="lazy">

news.html

@@ -65,6 +65,10 @@ <h2>Recent Updates!</h2>
 
   <li style="text-align:center"><span style="font-size: 26px"><strong>2025</strong></span></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>
+  <li><b>09/04/25: </b>Paper titled <i>"Network-Regularized Diffusion Sampling For 3D Computed Tomography"</i> by Shijun Liang, Ismail Alkhouri, Saiprasad Ravishankar, and Rongrong Wang has been accepted for presentation at IEEE CAMSAP 2025.</li>
   <li><b>07/20/25: </b>"Robust MRI Reconstruction by Smoothed Unrolling (SMUG)" has been accepted to the IEEE Journal of Selected Topics in Signal Processing (JSTSP) Special Issue on Trusted and Efficient Reconstruction and Sensing with Machine Learning (TERSML). Worked on by Ismail Alkhouri and Shijun Liang! <a href="https://arxiv.org/abs/2312.07784" target="_blank" style="color: blue; text-decoration: underline;">(arXiv)</a></li>
   <li><b>05/15/25: </b>The paper titled "Object Detection with Deep Learning for Rare Event Search in the GADGET II TPC" worked on by SLIM member Tyler Wheeler has been accepted for publication in Nuclear Inst. and Methods in Physics Research, A. <a href="https://arxiv.org/abs/2501.17892" target="_blank" style="color: blue; text-decoration: underline;">(arXiv)</a></li>
   <li><b>05/09/25: </b>The paper "Learning Robust Features for Scatter Removal and Reconstruction in Dynamic ICF X-Ray Tomography" by Siddhant Gautam, M. Klasky, B.T. Nadiga, T. Wilcox, G. Salazar & S. Ravishankar (a collaboration with LANL) has been accepted for publication in Optics Express! <a href="https://arxiv.org/abs/2408.12766#" target="_blank" style="color: blue; text-decoration: underline;">(arXiv)</a></li>