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<p class="MsoNormal">Dear all,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span lang="EN-US">We are resuming the <b>IDA Machine Learning Seminar</b> series with on-site talks. The next seminar is on
<b>April 27, 15:15-16:15.</b><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Çağatay Yıldız</span></b><span lang="EN-US">, Department of Computer Science, Aalto University.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Recent advances in black-box models for continuous-time dynamical systems<o:p></o:p></span></b></p>
<p class="MsoNormal"><i><span lang="EN-US">Abstract:</span></i><span lang="EN-US"> Since the neural ordinary differential equations (ODE) breakthrough, continuous-time dynamical systems have gained enormous popularity. In this talk, we will present a summary
of recent advances in black-box continuous-time systems. We will start with the a gentle introduction to ODEs, followed by Gaussian process based, uncertainty-aware ODE systems. Afterwards, we will discuss how to learn stochastic systems using a similar framework.
We then explain ODE2VAE, a deep generative second-order ODE model for learning video sequences. Finally, a novel continuous-time model-based reinforcement learning approach will be presented. The presentation will be based on the dissertation here.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Location:</span></b><span lang="EN-US"> Alan Turing, House E,
<a href="https://www.ida.liu.se/department/location/search.en.shtml?keyword=alan">
https://www.ida.liu.se/department/location/search.en.shtml?keyword=alan</a><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">-------<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">The list of future seminars in the series is available at:
</span><a href="http://www.ida.liu.se/research/machinelearning/seminars/"><span lang="EN-US">http://www.ida.liu.se/research/machinelearning/seminars/</span></a><span lang="EN-US">.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">You can subscribe to the seminar series' calendar using this ics link:
<a 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><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Welcome!<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">IDA Machine Learning Group<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Linköping University<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
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