Updated index.html with dates incuded for 2024/2025

rogershollow · web-flow · commit a66625adc94d · 2025-11-19T12:15:47.000-08:00
diff --git a/index.html b/index.html
@@ -140,9 +140,10 @@ <h4><b>Robin Walters</b></h4>
 
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 <h2>Updates</h2>
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+<b>---- 2025 ---</b>
+<br><br>
 
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@@ -151,67 +152,44 @@ <h2>Updates</h2>
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 <a class="news-title">
-    Awarded the Northeastern TEIR 1 Interdisciplinary Seed Grant funding of $50,000, in collaboration with Peter Schindler (MIE).
+    I will be speaking at the NeurReps Workshop in San Diego, CA in December 2-7, 2025.
 </a>
-    </td>
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-
 
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 <a class="news-title">
-    Awarded the EAI Seed Funding of $60,000, in collaboration with Peter Schindler (MIE).
+    I will be presenting <a href="https://www.whoi.edu/event/aope-department-hybrid-seminar-learning-for-dynamics-and-control-using-equivariant-neural-networks/" target="_blank">Research on Equivariant Neural Networks for Dynamics and Control</a> at the Woods Hole Oceanographic Research Institute in November 5, 2025.
 </a>
-    </td>
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-<br><br>
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-    <td>
-        <a> Congratulations to Luisa Li who won a <a href="https://undergraduate.northeastern.edu/research/awards/peak-awards-overview/">PEAK award</a> to fund her research. </a>
-    </td>
-</tr>
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-<br><br>
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-    <td>
-        <a> Congratulations to Claire Schlesinger who won a <a href="https://www.nsfgrfp.org/">NSF Graduate Research Fellowship</a> to fund her PhD and research in ML4Materials. </a>
-    </td>
-</tr>
 
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-<!-- -----------------------------P R E S E N T A T I O N S--------------------------------------------------------------------- -->
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 <a class="news-title">
-    I will be presenting <a href="https://ai4science.ai.gatech.edu/seminars/" target="_blank">Research on Improving Convergence and Generalization in Deep Learning Using Parameter Symmetries</a> at the GATech AI4Science Presentation in October 2025.
+    I will be presenting <a href="https://ai4science.ai.gatech.edu/seminars/" target="_blank">Research on Improving Convergence and Generalization in Deep Learning Using Parameter Symmetries</a> at the GATech AI4Science Presentation in October 28, 2025.
 </a>
 <br><br>
+
+
 <tr><th><i class="fab fa-jira"></i></th><td>
 <a class="news-title">
-    I will be presenting <a href="https://www.whoi.edu/event/aope-department-hybrid-seminar-learning-for-dynamics-and-control-using-equivariant-neural-networks/" target="_blank">Research on Equivariant Neural Networks for Dynamics and Control</a> at the Woods Hole Oceanographic Research Institute in November 2025.
+    Awarded the EAI Seed Funding of $60,000, in collaboration with Peter Schindler (MIE).
 </a>
 
 <br><br>
+
 <tr><th><i class="fab fa-jira"></i></th><td>
 <a class="news-title">
-    I will be speaking at the NeurReps Workshop in San Diego, CA in December 2025.
+    Awarded the Northeastern TIER 1 Interdisciplinary Seed Grant funding of $50,000, in collaboration with Peter Schindler (MIE).
 </a>
 
 <br><br>
+
 <tr><th><i class="fab fa-jira"></i></th><td>
 <a class="news-title">
-    I will present at the <a href="https://equivision.github.io/" target="_blank">Equivision Workshop during CVPR in Nashville, TN</a> in June 2025.
+    I will present at the <a href="https://equivision.github.io/" target="_blank">Equivision Workshop during CVPR in Nashville, TN</a> in June 11, 2025.
 </a>
 
 
@@ -220,79 +198,89 @@ <h2>Updates</h2>
 <br><br>
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 <a class="news-title">
-    I will give a talk at the <a href=https://www.grasp.upenn.edu/events/spring-2025-grasp-seminar-robin-walters/"" target="_blank">GRASP Seminar at the University of Pennsylvania</a> in May 2025.
+    I will give a talk at the <a href=https://www.grasp.upenn.edu/events/spring-2025-grasp-seminar-robin-walters/"" target="_blank">GRASP Seminar at the University of Pennsylvania</a> in April 22, 2025.
 
 </a>
 
 <br><br>
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 <a class="news-title">
-    I will be presenting on the topic of <a href="https://arxiv.org/abs/2305.13404" target="_blank">Improving Convergence and Generalization in Deep Learning Using Parameter Symmetries</a> during the Joint Mathematics Meetings AMS Special Session in Seattle, WA in January 2025.
+    I will be presenting on the topic of <a href="https://arxiv.org/abs/2305.13404" target="_blank">Improving Convergence and Generalization in Deep Learning Using Parameter Symmetries</a> during the Joint Mathematics Meetings AMS Special Session in Seattle, WA in January 18, 2025.
 </a>
 
+<br><br>
+<b>---- 2024 ---</b>
 <br><br>
 <tr><th><i class="fab fa-jira"></i></th><td>
 <a class="news-title">
-    Recognized as an <a href="https://2024.corl.org/program/awards">Outstanding Paper Finalist at the Conference on Robot Learning (CoRL)</a>, 2024.
+    I will present <b>Research on Simulating Radar Using Equivariant Graph Neural Networks at the Recent Advances in AI for National Security Conference in Bedford, MA</b> in December 16, 2024.
 </a>
+
+
 <br><br>
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 <a class="news-title">
-    Awarded <a href="https://openreview.net/forum?id=gkrynRGiOi">Best Paper at the 2nd Workshop on High-dimensional Learning Dynamics at ICLR</a>, 2024.
+    I will speak about <a href="https://equirob2024.github.io/" target="_blank">pushing the limits of Equivariant Neural Networks at the IROS Workshop on Equivariant Robotics in Abu Dhabi, UAE</a> in October 14, 2024.
 </a>
 
+
 <br><br>
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 <a class="news-title">
-    I will present <a href="https://astroai.cfa.harvard.edu/people/" target="_blank">Research at the AstroAI Seminar at the Harvard Smithsonian Center for Astrophysics</a> in June 2024.
+    I will share insights on <a href="https://rai-inst.com/about/visiting-fellows-overview/" target="_blank">pushing the limits of Equivariant Neural Networks at The AI Institute in Cambridge, MA</a> in October 2024.
+
 </a>
 
 <br><br>
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 <a class="news-title">
-    I will discuss Equivariant Neural Networks at the Computer Vision Reading Group at CalTech in June 2024.
-
+    I will discuss <a href="https://www.youtube.com/watch?v=Z9bJzWh0nfI" target="_blank">pushing the limits of Equivariant Neural Networks during the NeurReps Global Speaker Series at MIT</a> in October 23, 2024.
 </a>
 
+
+
 <br><br>
 <tr><th><i class="fab fa-jira"></i></th><td>
 <a class="news-title">
-    I will speak about <a href="https://equirob2024.github.io/" target="_blank">pushing the limits of Equivariant Neural Networks at the IROS Workshop on Equivariant Robotics in Abu Dhabi, UAE</a> in October 2024.
-
+    Recognized as an <a href="https://2024.corl.org/program/awards">Outstanding Paper Finalist at the Conference on Robot Learning (CoRL)</a>, held November 6 to 9, 2024.
 </a>
 
 <br><br>
 <tr><th><i class="fab fa-jira"></i></th><td>
 <a class="news-title">
-    I will share insights on <a href="https://rai-inst.com/about/visiting-fellows-overview/" target="_blank">pushing the limits of Equivariant Neural Networks at The AI Institute in Cambridge, MA</a> in October 2024.
-
+    Awarded <a href="https://openreview.net/forum?id=gkrynRGiOi">Best Paper at the 2nd Workshop on High-dimensional Learning Dynamics at ICLR</a>, 2024.
 </a>
 
 <br><br>
 <tr><th><i class="fab fa-jira"></i></th><td>
 <a class="news-title">
-    I will discuss <a href="https://www.youtube.com/watch?v=Z9bJzWh0nfI" target="_blank">pushing the limits of Equivariant Neural Networks during the NeurReps Global Speaker Series at MIT</a> in October 2024.
+    I will discuss Equivariant Neural Networks at the Computer Vision Reading Group at CalTech in June 18, 2024.
 
 </a>
 
+
 <br><br>
 <tr><th><i class="fab fa-jira"></i></th><td>
 <a class="news-title">
-    I will deliver an oral session on <a href="https://openreview.net/group?id=ICLR.cc/2024/Conference" target="_blank">Improving Convergence and Generalization in Deep Learning Using Parameter Symmetries at ICLR in Vienna, Austria</a> in May 2024.
-
+I will discuss <a href="https://www.youtube.com/watch?v=cKm4Ab4mQiY" target="_blank">Equivariant Neural Networks at the Symposium on Graphics Processing Graduate School at MIT</a> in June 22, 2024.
 </a>
 
+
 <br><br>
 <tr><th><i class="fab fa-jira"></i></th><td>
 <a class="news-title">
-    I will present <b>Research on Simulating Radar Using Equivariant Graph Neural Networks at the Recent Advances in AI for National Security Conference in Bedford, MA</b> in November 2024.
+    I will present <a href="https://astroai.cfa.harvard.edu/people/" target="_blank">Research at the AstroAI Seminar at the Harvard Smithsonian Center for Astrophysics</a> in June 17-21, 2024.
 </a>
 
+
 <br><br>
 <tr><th><i class="fab fa-jira"></i></th><td>
 <a class="news-title">
-I will discuss <a href="https://www.youtube.com/watch?v=cKm4Ab4mQiY" target="_blank">Equivariant Neural Networks at the Symposium on Graphics Processing Graduate School at MIT</a> in June 2024.
+    I will deliver an oral session on <a href="https://openreview.net/group?id=ICLR.cc/2024/Conference" target="_blank">Improving Convergence and Generalization in Deep Learning Using Parameter Symmetries at ICLR in Vienna, Austria</a> in May 7 to May 11, 2024.
 </a>
+
+
+
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@@ -546,148 +534,6 @@ <h2>Updates</h2>
                         </table>
 
 
-
-<BR><BR>
-<button type="button" class="collapsible">PUBLICATIONS</button>
-<div class="content">
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-<table class="table table-sm table-borderless">
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-<td>
-<a href="https://arxiv.org/abs/2412.12237">1. Equivariant action sampling for reinforcement learning and planning. Workshop on the Algorithmic Foundations of Robotics (WAFR), 2025. </a>
-<br> <a><i>(authors:  Linfeng Zhao, Owen Howell, Xupeng Zhu, Jung Yeon Park, Zhewen Zhang, Robin Walters, and Lawson LS Wong. )</i></a>
-</td>
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-<td>
-<a href="https://icml.cc/virtual/2025/47681">2. Data-Free Transformer Quantization Using Parameter-Space Symmetry. High-Dimensional Learning Dynamics Workshop, 2025.</a>
-<br><a><i>(authors:  Lucas Laird, Bo Zhao, Rose Yu, and Robin Walters. )</i></a><br/>
-</td>
-</tr>
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-<td>
-<a href="https://arxiv.org/abs/2507.01723">3. Se (3)-equivariant diffusion policy in spherical fourier space. In Forty-second International Conference on Machine Learning (ICML), 2025.</a><br/>
-</td>
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-<td>
-<a href="https://arxiv.org/abs/2505.23681">4. Understanding mode connectivity via parameter space symmetry. In Forty-second International Conference on Machine Learning (ICML), 2025.</a>
-<br><a><i>(authors:  BoZhao, NimaDehmamy, Robin Walters, and RoseYu.)</i></a><br/>
-</td>
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-<td>
-<a href="https://arxiv.org/abs/2502.05728">5. Hierarchical equivariant policy via frame transfer. In Forty-second International Conference on MachineL earning (ICML), 2025.</a>
-<br> <a><i>(authors: Haibo Zhao, Dian Wang, Yizhe Zhu, Xupeng Zhu, Owen Lewis Howell, Linfeng Zhao, Yaoyao Qian, Robin Walters, and Robert Platt.)</i></a><br/>
-</td>
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-<tr><th><i class="fab fa-jira"></i></th>
-<td>
-<a href="https://arxiv.org/abs/2411.04225">6. Approximate equivariance in reinforcement learning. Artificial Intelligence and Statistics (AISTATS), 2025.</a>
-<br> <a><i>(authors:  Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson LS Wong, Alec Koppel, Sumitra Ganesh, and Robin Walters.)</i></a><br/>
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-<td>
-<a href="https://arxiv.org/abs/2501.09597">7. Reducing the sensitivity of neural physics simulator stomeshtopology via pretraining. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.</a>
-<br> <a><i>(authors: Justin Goodwin, Robin Walters, and Rajmonda Caceres.)</i></a><br/>
-</td>
-</tr>
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-<tr><th><i class="fab fa-jira"></i></th>
-<td>
-<a href="https://arxiv.org/html/2406.15677v2">8. Learning efficient and robust language-conditioned manipulation using textual-visual relevancy and equivariant language mapping. IEEE Robotics and Automation Letters (RAL), 2025.</a>
-<br> <a><i>(authors: Mingxi Jia, Haojie Huang, Zhewen Zhang, Chenghao Wang, Linfeng Zhao, Dian Wang, Jason Xinyu Liu, Robin Walters, Robert Platt, and Stefanie Tellex.)</i></a><br/>
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-<td>
-<a href="https://arxiv.org/abs/2504.03053">9. Push-grasp policy learning using equivariant models and grasps core optimization. IEEE Robotics and Automation Letters (RAL), 2025.</a>
-<br> <a><i>(authors: Boce Hu, Heng Tian, Dian Wang, Haojie Huang, Xupeng Zhu, Robin Walters, and Robert Platt.)</i></a><br/>
-</td>
-</tr>
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-<tr><th><i class="fab fa-jira"></i></th>
-<td>
-<a href="https://proceedings.neurips.cc/paper_files/paper/2024/hash/77fa0e7d45c6687f1958de0b31e9fc05-Abstract-Conference.html">10. Symmetry-informed governing equation discovery. Neural Information Processing Systems (NeurIPS), 2024.</a>
-<br> <a><i>(authors: Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, and Rose Yu.)</i></a><br/>
-</td>
-</tr>
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-<td>
-<a href="https://proceedings.neurips.cc/paper_files/paper/2024/file/39137b5a573126103c8812dcdb9d0187-Paper-Conference.pdf">11. Matrixnet: Learning over symmetry groups using learned group representations. Neural Information Processing Systems (NeurIPS), 2024.</a>
-<br> <a><i>(authors: Lucas Laird, Circe Hsu, Asilata Bapat, and Robin Walters. )</i></a><br/>
-</td>
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-<td>
-<a href="https://proceedings.neurips.cc/paper_files/paper/2024/file/31d1946b6bccf54bdd4a811bedd9626b-Paper-Conference.pdf">12. The empirical impact of neural parameter symmetries, or lack thereof. Neural Information Processing Systems (NeurIPS) and Best Paper at Workshop on High-Dimensional Learning Dynamics (HiLD) at ICLR, 2024.</a>
-<br> <a><i>(authors: Derek Lim, Moe Putterman, Robin Walters, Haggai Maron, and Stefanie Jegelka.)</i></a><br/>
-</td>
-</tr>
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-<tr><th><i class="fab fa-jira"></i></th>
-<td>
-<a href="https://equidiff.github.io/">13. Equivariant diffusion policy. </a>Out-standing Paper Finalist at Conference on Robot Learning (CoRL), 2024.</a>
-<br> <a><i>(authors: Dian Wang, Stephen Hart, David Surovik, Tarik Kelestemur, Haojie Huang, Haibo Zhao, Mark Yeatman, Jiuguang Wang, Robin Walters, and Robert Platt.)</i></a><br/>
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-<a href="https://arxiv.org/abs/2407.03531">14. Orbitgrasp: se(3)-equivariant grasp learning. Conference on Robot Learning (CoRL),2024.</a>
-<br> <a><i>(authors: Boce Hu, Xupeng Zhu, Dian Wang, Zihao Dong, Haojie Huang, Chenghao Wang, Robin Walters, and Robert Platt.)</i></a><br/>
-</td>
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-<td>
-<a href="https://arxiv.org/abs/2406.11740">15. Imagination policy: Using generative point cloud models for learning manipulation policies. Conference on Robot Learning (CoRL), 2024.</a>
-<br> <a><i>(authors: Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, HaotianLiu, Mingxi Jia, Robert Platt, and Robin Walters.)</i></a><br/>
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-<td>
-<a href="">16. Fourier transporter: Bi-equivariant robotic manipulation in 3d. International Conference on Learning Representations (ICLR), 2024.</a></a>
-<br> <a><i>(authors: Haojie Huang, Owen Howell, Xupeng Zhu, Dian Wang, Robin Walters, and Robert Platt.)</i></a><br/>
-</td>
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-<td>
-<a href="https://arxiv.org/abs/2401.12046">17. Improving convergence and generalization using parameter symmetries. International Conference on Learning Representations (ICLR), Oral, 2024.</a>
-<br> <a><i>(authors: Bo Zhao, Robert M Gower, Robin Walters, and Rose Yu.)</i></a><br/>
-</td>
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-<td>
-<a href="https://arxiv.org/abs/2311.14675">18. Fast and expressive gesture recognition using a 2/12 combination-homomorphic electromyogramencoder. Transactionson Machine Learning Research, 2024.</a>
-<br> <a><i>(authors: Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, and Robin Walters.)</i></a><br/>
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-<td>
-<a href="https://academic.oup.com/imrn/issue/2024/24">19. International Mathematics Research Notices, 2024(24):14543–14575, 2024.</a>
-<br> <a><i>(authors: Valerio Toledano Laredo and RobinWalters. On the finkelberg – ginzburg mirabolic monodromy conjecture.)</i></a><br/>
-</td>
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@@ -793,23 +639,4 @@ <h2>Updates</h2>
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