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Welcome to an <i>extra </i>IDA Machine Learning Seminar on Thursday, November 6 at 13:30 In John Von Neumann</div>
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<b>Speaker</b>: <a style="margin: 0px;" data-auth="NotApplicable" data-linkindex="0" rel="noopener noreferrer" title="http://mikkelschmidt.dk/index.html" class="x_external x_OWAAutoLink" id="OWA0285dc61-8c5b-e2fa-60d7-55dbeaae39db" target="_blank" href="http://mikkelschmidt.dk/index.html">
Mikkel N. Schmidt</a>, Technical University of Denmark, DTU Compute</div>
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<b>Title</b>: Equivariant Neural Diffusion for Molecule Generation</div>
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<b>Abstract</b>: I present <i>Equivariant Neural Diffusion (END)</i> — an approach for generating 3D molecular structures that fully respects Euclidean symmetries. Unlike existing equivariant diffusion models, END introduces a learnable forward process that
adapts dynamically to both time and data, while remaining equivariant to rigid transformations. This flexibility improves the generative capabilities of the model and opens up new possibilities for molecular design. Results on standard benchmarks show that
END achieves competitive performance in both unconditional and conditional molecule generation tasks.</div>
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Location: <b>John Von Neumann</b>, <a style="margin: 0px;" data-auth="NotApplicable" data-linkindex="1" originalsrc="https://link.mazemap.com/jPVeR5ZQ" title="Ursprunglig URL: https://link.mazemap.com/jPVeR5ZQ. Klicka eller tryck om du har förtroende för den här länken." class="OWAAutoLink" id="OWA3026643c-648c-69dc-0c99-f42547c577af" href="https://link.mazemap.com/jPVeR5ZQ">
https://link.mazemap.com/jPVeR5ZQ</a></div>
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<span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><b>ADDENDUM:
</b>In relation to this seminar, we encourage you to come to Filip Ekström Kelvinius' PhD defence who will speak about "</span><span style="font-family: Aptos, sans-serif; font-size: 16px; color: rgb(36, 36, 36); background-color: rgb(255, 255, 255);"><b><a style="margin: 0px;" data-auth="NotApplicable" data-linkindex="0" title="https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-218503" class="OWAAutoLink" id="OWAef610273-6068-9786-02d3-aed831e5a77a" href="https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-218503">Deep
Learning for the Atomic Scale: Graph Neural Networks and Deep Generative Models with Some Applications to Materials and Molecules</a>"</b>. The defence takes place on
<b>Friday 7/11 at 13.30 in Ada Lovelace. </b>Our guest, Mikkel N. Schmidt, will be the opponent of Filip.</span></div>
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<span style="color: black;">The list of future seminars in the series is available at: <br>
</span><span style="color: rgb(70, 120, 134);"><u><a style="color: rgb(70, 120, 134); margin: 0px;" data-linkindex="2" data-auth="NotApplicable" title="https://stima.gitlab-pages.liu.se/ml-seminars/" class="x_OWAAutoLink" id="OWAbf098236-e5e5-bf46-c2b4-7619d9e91240" href="https://stima.gitlab-pages.liu.se/ml-seminars/">https://stima.gitlab-pages.liu.se/ml-seminars/</a></u></span><span style="color: black;"> </span></div>
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<span style="color: black;">You can subscribe to the seminar series' calendar using this ics link:
</span><span style="color: rgb(70, 120, 134);"><u><a style="color: rgb(70, 120, 134); margin: 0px;" data-linkindex="3" data-auth="NotApplicable" originalsrc="https://outlook.office365.com/owa/calendar/4d811ae47ce446f58d11a7c2f50a7ed8@ad.liu.se/0f5253d7bc7841248c71eb4c28eb2d668927992292494627279/calendar.ics" title="Ursprunglig URL: https://outlook.office365.com/owa/calendar/4d811ae47ce446f58d11a7c2f50a7ed8@ad.liu.se/0f5253d7bc7841248c71eb4c28eb2d668927992292494627279/calendar.ics. Klicka eller tryck om du har förtroende för den här länken." class="x_OWAAutoLink" id="OWAbf85b755-ac58-ad82-5684-2606d11a99e9" href="https://outlook.office365.com/owa/calendar/4d811ae47ce446f58d11a7c2f50a7ed8@ad.liu.se/0f5253d7bc7841248c71eb4c28eb2d668927992292494627279/calendar.ics">https://outlook.office365.com/owa/calendar/4d811ae47ce446f58d11a7c2f50a7ed8@ad.liu.se/0f5253d7bc7841248c71eb4c28eb2d668927992292494627279/calendar.ics</a></u></span><span style="color: black;"> </span></div>
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<b>Louis Ohl</b></div>
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Postdoc</div>
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louis.ohl@liu.se</div>
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<b>Linköping University</b></div>
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IDA / STIMA</div>
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B-Huset, 2A:445</div>
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<a title="https://oshillou.github.io/" class="OWAAutoLink" id="OWAa94845f0-c92f-a593-df6a-af38f330bba6" href="https://oshillou.github.io/">Webpage</a></div>
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