| Minisymposium / Thematic Sessions | Place |
| MS01: Control, Inverse Problems and Machine Learning (1/3) | A2 |
| MS03: Shape optimization and uncertainty (1/2) | A3 |
| MS11: Optimal Control of ODE’s: Theory and Applications (1/3) | A5 |
| MS12: Theoretical Approaches to Modern Machine Learning Methods (1/1) | A6 |
| TS01: Mixed and integer programming | B1 |
Room A2.
MS01: Control, Inverse Problems and Machine Learning
Chair: Carlos Castro (Universidad Politécnica de Madrid)
18:00-18:30 Enrique Fernández-Cara (Universidad de Sevilla): Two results on the control of fluids
18:30-19:00 Francisco Guillén-González (Universidad de Sevilla): Some chemotaxis PDE-constrained optimal control problems. Analysis and approximation
19:00-19:30 Jone Apraiz (Universidad del Pais Vasco): Inverse problem for one-dimensional fluid-solid interaction model
19:30-20:00 Aurea M. Martínez Varela (Universidad de Vigo): Algae for bioenergy: An optimal control approach
Room A3.
MS03: Shape optimization and uncertainty
Chair: Tim Suchan (Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg)
18:00-18:30 Christine Herter (Universität Hamburg): Eigenvalue Optimization with respect to Shape-Variations in Electromagnetic Cavities
18:30-19:00 Karen Estefania Loayza Romero (Imperial College London): Multi-level Optimal Control with Neural Surrogate Models
19:00-19:30 Julien Prando (Université Grenoble Alpes): Distributionally Robust Density Optimisation with Wasserstein Distance and Applications
Room A5.
MS11: Optimal Control of ODE’s: Theory and Applications.
Chair: Silvia Faggian (Ca’ Foscari University of Venice)
18:00-18:30 Vladimir Veliov (Vienna University of Technology): Metric Regularity in Optimal Control
18:30-19:00 Teresa Scarinci (University of L’Aquila): Optimal control for control affine systems with average cost
19:00-19:30 Jonas Marko (Brandenburgische Technische Universität): TV regularization for integer optimal control problems with vector valued controls
Room A6.
MS12: Theoretical Approaches to Modern Machine Learning Methods
Chair: Ziad Kobeissi (Laboratoire des Signaux et Systèmes, Université Paris-Saclay)
18:00-18:30 Benoît Bonnet-Weill (Laboratoire des Signaux et Systèmes, Université Paris-Saclay): A Meanfield Control Perspective on the Training of NeurODEs
18:30-19:00 Michael E. Sander (Ecole Normale Supérieure, CNRS): Residual Networks: from Infinitely Deep Neural ODEs to Transformers in Actions
19:00-19:30 Berjan Geshkovski (Inria, Sorbonne Université): On the emergence of clusters in Transformers
19:30-20:00 Pierre Marion (Institute of Mathematics, EPFL, Lausanne): Implicit Diffusion: Efficient Optimization through Stochastic Sampling
Room B1.
TS01: Mixed and integer programming
Chair: Térence Bayem (Avignon Université)
18:00-18:30 Pierre Arvy (Artelys España, Spain): Mixed-integer non-linear programming approach for identifying parameters inconsistencies in load flow calculations
18:30-19:00 Erik Jansen (Technische Universität Darmstadr): Analyzing the Sensitivity of Integer Linear Programs via Optimization Oracles
19:00-19:30 Lea Rehlich (Technical University of Darmstadt): Decomposition Approach for Mixed-Integer Nonlinear Optimization of Heating Networks with Heating Storages