{"id":1089,"date":"2024-04-08T13:20:27","date_gmt":"2024-04-08T11:20:27","guid":{"rendered":"https:\/\/www.unioviedo.es\/fgs2024\/?page_id=1089"},"modified":"2024-06-17T12:32:00","modified_gmt":"2024-06-17T10:32:00","slug":"session-1","status":"publish","type":"page","link":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/detailed-schedule\/session-1\/","title":{"rendered":"Session 1 – Tuesday 18:00-20:00"},"content":{"rendered":"\n
Minisymposium \/ Thematic Sessions<\/strong><\/td>Place<\/strong><\/td><\/tr>
MS01: Control, Inverse Problems and Machine Learning (1\/3)<\/td>A2<\/td><\/tr>
MS03: Shape optimization and uncertainty (1\/2)<\/td>A3<\/td><\/tr>
MS11: Optimal Control of ODE\u2019s: Theory and Applications (1\/3)<\/td>A5<\/td><\/tr>
MS12: Theoretical Approaches to Modern Machine Learning Methods (1\/1)<\/td>A6<\/td><\/tr>
TS01: Mixed and integer programming<\/td>B1<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Room A2.<\/strong>
MS01: Control, Inverse Problems and Machine Learning<\/em>
Chair: <\/strong>Carlos Castro (Universidad Polit\u00e9cnica de Madrid)
18:00-18:30<\/strong> Enrique Fern\u00e1ndez-Cara (Universidad de Sevilla): Two results on the control of fluids<\/em>
18:30-19:00<\/strong> Francisco Guill\u00e9n-Gonz\u00e1lez (Universidad de Sevilla): Some chemotaxis PDE-constrained optimal control problems. Analysis and approximation<\/em>
19:00-19:30<\/strong> Jone Apraiz (Universidad del Pais Vasco): Inverse problem for one-dimensional fluid-solid interaction model<\/em>
19:30-20:00<\/strong> Aurea M. Mart\u00ednez Varela (Universidad de Vigo): Algae for bioenergy: An optimal control approach<\/em><\/p>\n\n\n\n

Room A3.<\/strong>
MS03: Shape optimization and uncertainty<\/em>
Chair:<\/strong> Tim Suchan (Helmut-Schmidt-Universit\u00e4t \/ Universit\u00e4t der Bundeswehr Hamburg)
18:00-18:30<\/strong> Christine Herter (Universit\u00e4t Hamburg): Eigenvalue Optimization with respect to Shape-Variations in Electromagnetic Cavities<\/em>
18:30-19:00<\/strong> Karen Estefania Loayza Romero (Imperial College London): Multi-level Optimal Control with Neural Surrogate Models<\/em>
19:00-19:30<\/strong> Julien Prando (Universit\u00e9 Grenoble Alpes): Distributionally Robust Density Optimisation with Wasserstein Distance and Applications<\/em><\/p>\n\n\n\n

Room A5.<\/strong>
MS11: Optimal Control of ODE\u2019s: Theory and Applications.<\/em>
Chair:<\/strong> Silvia Faggian (Ca\u2019 Foscari University of Venice)
18:00-18:30<\/strong> Vladimir Veliov (Vienna University of Technology): Metric Regularity in Optimal Control<\/em>
18:30-19:00<\/strong> Teresa Scarinci (University of L\u2019Aquila): Optimal control for control affine systems with average cost<\/em>
19:00-19:30<\/strong> Jonas Marko (Brandenburgische Technische Universit\u00e4t): TV regularization for integer optimal control problems with vector valued controls<\/em><\/p>\n\n\n\n

Room A6.<\/strong>
MS12: Theoretical Approaches to Modern Machine Learning Methods<\/em>
Chair:<\/strong> Ziad Kobeissi (Laboratoire des Signaux et Syst\u00e8mes, Universit\u00e9 Paris-Saclay)
18:00-18:30<\/strong> Beno\u00eet Bonnet-Weill (Laboratoire des Signaux et Syst\u00e8mes, Universit\u00e9 Paris-Saclay): A Meanfield Control Perspective on the Training of NeurODEs<\/em>
18:30-19:00<\/strong> Michael E. Sander (Ecole Normale Sup\u00e9rieure, CNRS): Residual Networks: from Infinitely Deep Neural ODEs to Transformers in Actions<\/em>
19:00-19:30<\/strong> Berjan Geshkovski (Inria, Sorbonne Universit\u00e9): On the emergence of clusters in Transformers<\/em>
19:30-20:00 <\/strong>Pierre Marion (Institute of Mathematics, EPFL, Lausanne): Implicit Diffusion: Efficient Optimization through Stochastic Sampling<\/em><\/p>\n\n\n\n

Room B1.
<\/strong>TS01: Mixed and integer programming<\/em>
Chair:<\/strong> T\u00e9rence Bayem (Avignon Universit\u00e9)
18:00-18:30<\/strong> Pierre Arvy (Artelys Espa\u00f1a, Spain): Mixed-integer non-linear programming approach for identifying parameters inconsistencies in load flow calculations<\/em>
18:30-19:00<\/strong> Erik Jansen (Technische Universit\u00e4t Darmstadr): Analyzing the Sensitivity of Integer Linear Programs via Optimization Oracles<\/em>
19:00-19:30<\/strong> Lea Rehlich (Technical University of Darmstadt): Decomposition Approach for Mixed-Integer Nonlinear Optimization of Heating Networks with Heating Storages<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Minisymposium \/ Thematic Sessions Place MS01: Control, Inverse Problems and Machine Learning (1\/3) A2 MS03: Shape optimization and uncertainty (1\/2)… <\/p>\n","protected":false},"author":3,"featured_media":0,"parent":1054,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1089","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/pages\/1089","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/comments?post=1089"}],"version-history":[{"count":8,"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/pages\/1089\/revisions"}],"predecessor-version":[{"id":1266,"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/pages\/1089\/revisions\/1266"}],"up":[{"embeddable":true,"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/pages\/1054"}],"wp:attachment":[{"href":"https:\/\/www.unioviedo.es\/fgs2024\/index.php\/wp-json\/wp\/v2\/media?parent=1089"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}