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@@ -65,6 +65,7 @@ <h2>Recent Updates!</h2>
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<li style="text-align:center"><span style="font-size: 26px"><strong>2025</strong></span></li>
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<li><b>12/31/25: </b>Our paper "Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO)" by Siddhant Gautam, Angqi Li, Nicole Seiberlich, Jeffrey A. Fessler and Saiprasad Ravishankar got accepted to IEEE Transactions on Computational Imaging! <a href="https://arxiv.org/abs/2501.09799" target="_blank" style="color: blue; text-decoration: underline;">(arXiv)</a></li>
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<li><b>11/26/25: </b>Congratulations to Siddhant Gautam for winning the Spring 2026 Ginther Research Fellowship!</li>
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<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>
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<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>

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