<?xml version="1.0" encoding="utf-8"?>


    <rss version="2.0"
         xmlns:content="http://purl.org/rss/1.0/modules/content/"
         xmlns:atom="http://www.w3.org/2005/Atom"
         xmlns:media="http://search.yahoo.com/mrss/">
        <channel>
            
                
                    <ttl>60</ttl>
                    <title>Universität Bremen - 2021 - KoMSO Academy</title>
                    <link>https://www.uni-bremen.de/techmath/veranstaltungen/2021-komso-academy</link>
                    <description>Ankündigung und Programm der KoMSO Academy</description>
                    <language>de</language>
                    <copyright>Universität Bremen</copyright>
                    <pubDate>Mon, 13 Apr 2026 16:10:00 +0200</pubDate>
                    <lastBuildDate>Mon, 13 Apr 2026 16:10:00 +0200</lastBuildDate>
                    <atom:link href="https://www.uni-bremen.de/techmath/veranstaltungen/2021-komso-academy/rss.xml" rel="self" type="application/rss+xml"/>
                    <generator>Universität Bremen</generator>
                
                
                    
                
                    
                
                    
                        <item>
                            <guid isPermaLink="false">content-353010</guid>
                            <pubDate>Fri, 06 Mar 2026 00:27:22 +0100</pubDate>
                            <title>Training and hands-on session</title>
                            <link>https://www.uni-bremen.de/techmath/veranstaltungen/2021-komso-academy#c353010</link>
                            
                            <description>&amp;lt;p&amp;gt;The hands on sessions will be given by Dr. Daniel Otero Baguer. All sessions will use Python as programming language and the &amp;lt;a class=&amp;quot;externalLink&amp;quot; href=&amp;quot;https://pytorch.org/&amp;quot; target=&amp;quot;_blank&amp;quot; title=&amp;quot;Öffnet externen Link in neuem Fenster&amp;quot;&amp;gt;PyTorch&amp;lt;/a&amp;gt; framework.&amp;lt;/p&amp;gt;
&amp;lt;h5&amp;gt;Topics&amp;lt;/h5&amp;gt;
&amp;lt;ul&amp;gt; 	&amp;lt;li&amp;gt;Introduction to training neural networks with PyTorch&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;Model-based classic approaches, e.g., ISTA.&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;Introduction to data-based methods, e.g., LISTA&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;Neural Networks for trivial ill-posed inverse problems and fully data-based methods&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;Combining model and data based methods: learned post-processing and learned gradient descent&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;Deep Image Prior and mathematical aspects&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;Applications on Computed Tomography (CT)&amp;lt;/li&amp;gt; &amp;lt;/ul&amp;gt;
&amp;lt;h5&amp;gt;Requirements&amp;lt;/h5&amp;gt;
&amp;lt;ul&amp;gt; 	&amp;lt;li&amp;gt;Some experience programming in Python (if not you can still follow the sessions but it will be much harder).&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;Google Chrome web browser installed.&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;A google account, we are going to use Google Colab:&amp;amp;nbsp;&amp;lt;a class=&amp;quot;externalLink&amp;quot; href=&amp;quot;https://colab.research.google.com/&amp;quot; target=&amp;quot;_blank&amp;quot; title=&amp;quot;Öffnet externen Link in neuem Fenster&amp;quot;&amp;gt;https://colab.research.google.com/&amp;lt;/a&amp;gt;&amp;lt;/li&amp;gt; &amp;lt;/ul&amp;gt;</description>
                            
                            <category>Content</category>
                            
                            
                        </item>
                    
                
                    
                        <item>
                            <guid isPermaLink="false">content-353008</guid>
                            <pubDate>Fri, 06 Mar 2026 00:27:22 +0100</pubDate>
                            <title>Challenge Workshop</title>
                            <link>https://www.uni-bremen.de/techmath/veranstaltungen/2021-komso-academy#c353008</link>
                            
                            <description>&amp;lt;p&amp;gt;Challenge Workshops are adressing novel business and technology trends at an early stage of development. They bring together leading experts from industry and academia for a discussion of the present state of the art, potentials and risks as well as future developments. They are open to short contributions by the participants aiming for feedback for their specific problems. The results of the workshops are summarized in a white paper aiming to support policymakers, researchers, entrepreneurs and the public to debate and shape the future of research and innovation in the respective field.&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;This workshop will focus on the combination of model- and data-based approaches for industrial problems in the field of &amp;lt;strong&amp;gt;mobility&amp;lt;/strong&amp;gt; and &amp;lt;strong&amp;gt;energy&amp;lt;/strong&amp;gt;.&amp;lt;/p&amp;gt;
&amp;lt;h5&amp;gt;Confirmed speakers&amp;lt;/h5&amp;gt;
&amp;lt;p&amp;gt;Ralph Grothmann, Siemens AG, Bremen&amp;lt;br /&amp;gt; Julian Bergmann, Chris Michel Peters, EWE AG DataLab, Oldenburg&amp;lt;br /&amp;gt; Björn Weißhaupt, Deutsche Bahn AG, Frankfurt&amp;lt;br /&amp;gt; Ralf Korn, TU Kaiserslautern&amp;lt;br /&amp;gt; Wil Schilders, Eindhoven University of Technology&amp;lt;br /&amp;gt; Hanno Gottschalk, University of Wuppertal&amp;lt;/p&amp;gt;

</description>
                            
                            <category>Content</category>
                            
                            
                        </item>
                    
                
                    
                        <item>
                            <guid isPermaLink="false">content-381840</guid>
                            <pubDate>Fri, 06 Mar 2026 00:27:22 +0100</pubDate>
                            <title>Place and Agenda</title>
                            <link>https://www.uni-bremen.de/techmath/veranstaltungen/2021-komso-academy#c381840</link>
                            
                            <description>&amp;lt;p&amp;gt;The training and hands-on session will take place at the &amp;lt;strong&amp;gt;University of Bremen, building MZH, room 1470&amp;lt;/strong&amp;gt;. Online participation is possible and the dial-in data will be provided by E-mail.&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;Please find the &amp;lt;strong&amp;gt;agenda&amp;lt;/strong&amp;gt; below.&amp;lt;/p&amp;gt;</description>
                            
                            <category>Content</category>
                            
                            
                        </item>
                    
                
                    
                        <item>
                            <guid isPermaLink="false">content-381841</guid>
                            <pubDate>Fri, 06 Mar 2026 00:27:22 +0100</pubDate>
                            <title>Place and Agenda</title>
                            <link>https://www.uni-bremen.de/techmath/veranstaltungen/2021-komso-academy#c381841</link>
                            
                            <description>&amp;lt;p&amp;gt;The Challenge Workshop will take place at the &amp;lt;strong&amp;gt;&amp;lt;a class=&amp;quot;externalLink&amp;quot; href=&amp;quot;https://www.hausderwissenschaft.de/&amp;quot; target=&amp;quot;_blank&amp;quot; title=&amp;quot;Öffnet externen Link in neuem Fenster&amp;quot;&amp;gt;Haus der Wissenschaft&amp;lt;/a&amp;gt;&amp;lt;/strong&amp;gt;, Sandstraße 4/5. Online participation is possible and the dial-in data will be provided by E-mail.&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;Please find the &amp;lt;strong&amp;gt;agenda&amp;lt;/strong&amp;gt; below.&amp;lt;/p&amp;gt;</description>
                            
                            <category>Content</category>
                            
                            
                        </item>
                    
                
                    
                
                    
                
                    
                
            
        </channel>
    </rss>

