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		<title>Gaussian random interface models and discrete Green&#8217;s functions</title>
		<link>https://dcn.nat.fau.eu/gaussian-random-interface-models-and-discrete-greens-functions/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Wed, 07 Dec 2022 12:13:29 +0000</pubDate>
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					<description><![CDATA[Date: Wed. December 07, 2022: Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics &#8211; Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar &#8220;Gaussian random interface models and discrete Green’s functions&#8221; Speaker: Dr. Florian Schweiger Affiliation: Weizmann Institute of Science (Israel) Abstract. Random interface models [&#8230;]]]></description>
		
		
		
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		<title>Compensated Integrability and Conservation Laws</title>
		<link>https://dcn.nat.fau.eu/compensated-integrability-and-conservation-laws/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Wed, 30 Nov 2022 17:44:52 +0000</pubDate>
				<category><![CDATA[2022-resources]]></category>
		<category><![CDATA[FAUDCNSeminar]]></category>
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					<description><![CDATA[Date: Wed. November 30, 2022 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics &#8211; Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar &#8220;Compensated Integrability and Conservation Laws&#8221; Speaker: Prof. Dr. Denis Serre Affiliation: Ecole Normale Supérieure de Lyon (France). Abstract. Compensated Integrability is a [&#8230;]]]></description>
		
		
		
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		<title>Controlling the spread of invasive biological species</title>
		<link>https://dcn.nat.fau.eu/controlling-the-spread-of-invasive-biological-species/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Thu, 24 Nov 2022 11:31:35 +0000</pubDate>
				<category><![CDATA[2022-resources]]></category>
		<category><![CDATA[FAUDCNSeminar]]></category>
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					<description><![CDATA[Date: Thu. November 24, 2022 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics &#8211; Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar &#8220;Controlling the spread of invasive biological species&#8221; Speaker: Prof. Maria Teresa Chiri Affiliation: Department of Mathematics and Statistics Queen&#8217;s University (Canada) Abstract. [&#8230;]]]></description>
		
		
		
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		<title>Ensemble control of quantum systems by adiabatic evolution</title>
		<link>https://dcn.nat.fau.eu/ensemble-control-of-quantum-systems-by-adiabatic-evolution/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Wed, 16 Nov 2022 17:09:19 +0000</pubDate>
				<category><![CDATA[2022-resources]]></category>
		<category><![CDATA[FAUDCNSeminar]]></category>
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					<description><![CDATA[Date: Wed. November 16, 2022 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics &#8211; Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar &#8220;Ensemble control of quantum systems by adiabatic evolution&#8221; Speaker: Prof. Dr. Mario Sigalotti Affiliation: Centre de Recherche Paris, LJLL &#8211; Laboratoire Jacques-Louis [&#8230;]]]></description>
		
		
		
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		<title>Mini-workshop: “Analysis, Numerics and Control”</title>
		<link>https://dcn.nat.fau.eu/mini-workshop-analysis-numerics-and-control-14-nov-2022/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Mon, 14 Nov 2022 12:13:20 +0000</pubDate>
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					<description><![CDATA[Date: Tue. November 14, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Mini-workshop &#8220;Analysis, Numerics and Control&#8221; 11:30H Title: Breaking the curse of dimensionality with Barron Spaces Speaker: Antonio Álvarez López Affiliation: Visiting PhD Student from UAM, Autonomous University of Madrid (Spain) [&#8230;]]]></description>
		
		
		
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		<title>Mini-workshop: “Analysis, Numerics and Control”</title>
		<link>https://dcn.nat.fau.eu/mini-workshop-analysis-numerics-and-control-11-nov-2022/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Fri, 11 Nov 2022 11:34:36 +0000</pubDate>
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					<description><![CDATA[Date: Fri. November 11, 2022 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany) Title: Mini-workshop &#8220;Analysis, Numerics and Control&#8221; 11:00H Title: Stabilization results for the KdV equation Speaker: Hugo Parada Affiliation: Visiting PhD Student from the Laboratory Jean Kunztmann, Grenoble (France) • Slides Abstract.The [&#8230;]]]></description>
		
		
		
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		<title>Discovering scaling laws for heat transport with convex optimization</title>
		<link>https://dcn.nat.fau.eu/discovering-scaling-laws-for-heat-transport-with-convex-optimization/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Thu, 10 Nov 2022 16:59:26 +0000</pubDate>
				<category><![CDATA[2022-resources]]></category>
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					<description><![CDATA[Date: Thu. November 10, 2022 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics &#8211; Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar &#8220;Discovering scaling laws for heat transport with convex optimization&#8221; Speaker: Prof. Dr. Giovanni Fantuzzi Affiliation: FAU DCN-AvH, Chair for Dynamics, Control and [&#8230;]]]></description>
		
		
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		<title>Machine learning for MR image reconstruction: From first results to ongoing challenges</title>
		<link>https://dcn.nat.fau.eu/machine-learning-for-mr-image-reconstruction-from-first-results-to-ongoing-challenges/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Wed, 02 Nov 2022 12:01:56 +0000</pubDate>
				<category><![CDATA[2022-resources]]></category>
		<category><![CDATA[FAUDCNSeminar]]></category>
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					<description><![CDATA[Date: Wed. November 2, 2022 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics &#8211; Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar &#8220;Machine learning for MR image reconstruction: From first results to ongoing challenges&#8221; Speaker: Prof. Dr. Florian Knoll Affiliation: AIBE, Department Artificial Intelligence [&#8230;]]]></description>
		
		
		
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		<title>Theory of homogeneous dynamical systems and their application</title>
		<link>https://dcn.nat.fau.eu/theory-of-homogeneous-dynamical-systems-and-their-application/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Wed, 26 Oct 2022 18:25:20 +0000</pubDate>
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					<description><![CDATA[Date: Wed. October 26, 2022 Event: FAU DCN-AvH Seminar Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics &#8211; Alexander von Humboldt Professorship at FAU Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Title: FAU DCN-AvH Seminar &#8220;Theory of homogeneous dynamical systems and their application&#8221; Speaker: Prof. Dr. Denis Efimov Affiliation: Inria, Lille &#8211; Nord Europe Center (France) Abstract. [&#8230;]]]></description>
		
		
		
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		<title>II Workshop on Control Theory and Partial Differential Equations</title>
		<link>https://dcn.nat.fau.eu/ii-workshop-on-control-theory-and-pde-control-and-ml-by-ezuazua/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Wed, 26 Oct 2022 05:36:39 +0000</pubDate>
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					<description><![CDATA[Date: Thu. October 26, 2022 Event: II Workshop on Control Theory and Partial Differential Equations Universidade Federal Fluminense, Brazil Title: Control and Machine Learning Speaker: Our Head Prof. Enrique Zuazua Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Abstract. In this lecture we shall present some recent results on the interplay between control and Machine Learning, and more precisely, [&#8230;]]]></description>
		
		
		
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