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Speaker:Julius Lohmann JSPS International Research Fellow, Institute of Science Tokyo
Title: Dynamic inverse problems regularized with Wasserstein-1 transport Julius Lohmann JSPS International Research Fellow, Institute of Science Tokyo
Abstract: The (classical, balanced) Wasserstein-p distance can be used as a measure of how close a source and sink mass distribution (with equal mass) are. In recent years, the Wasserstein-2 distance has been employed in the temporal regularization of dynamic inverse problems. The so-called Benamou–Brenier formula states that it can be written as the square root of the performed physical work through the transport from the source to the sink. In my talk, I will instead focus on dynamic inverse problems regularized with Wasserstein-1 transport. The Wasserstein-1 distance can be interpreted as the optimal transport cost with respect to the Euclidean distance: it equals infπ R |x−y|dπ(x, y), where measure element dπ(x, y) indicates the (infinitesimal) amount of mass moving from location x to y. I will explain a novel dynamic inverse problem on time-parameterized curves in the induced Wasserstein-1 (metric) space. It is a natural extension of static sparse optimization problems such as lasso or TV regularization. One essential difference to classical regularization with Wasserstein-2 transport is that it allows for discontinuous decision variables (realized as BV curves). Despite this weak regularity requirement and the non-differentiability of the cost function (x, y) 7→ |x − y|, it is possible to prove the existence of a sparse solution and its characterization. I will present this result. Further, I will detail an adaption of the fully-corrective generalized conditional gradient method to the problem and highlight a natural discretization approach. Finally, I will show some numerical examples. Joint work with: Marcello Carioni
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Speaker: Professor, Deputy Director Yeong-Cherng Liang, Department of Physics | QFort, National Cheng Kung University, Taiwan
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Date: Monday, February 2, 2026 - 11:00 to 12:00 @L5D23, Lab5
Title: "Looking at neurodevelopmental disorders through the lens of evolution: a role for the autolysosomal pathway"
Speaker: Prof. Nael Nadif Kasri, Radboud University
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Prof. Marina Freitag, Professor of Energy/Royal Society University Research Fellow (URF), School of Natural and Environmental Sciences, Newcastle University
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Seminar: DFG Funding Portfolio and the Research Landscape in Germany (German Research Foundation)
Germany offers a diverse and dynamic research environment supported by a wide range of funding schemes, including those for international collaboration. In this seminar, we will introduce the structure of the German research landscape and present DFG’s major funding opportunities for postdoctoral researchers, early‑career scholars, and those aiming for professorship positions.
The Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) is the largest self-governing funding organization for basic research in Germany. The DFG promotes the advancement of science and the humanities by funding research projects and facilitating cooperation among researchers
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Speaker: France Rose(University of Bonn)
Title: Animal behavior analysis enabled by unsupervised deep learning
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Prof. Rachel Kolodny, Professor of Computer Science, University of Haifa, Israel
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Pavel Turek, OIST
Title: Balanced columns of decomposition matrices
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Title: Normalized solutions and limit profiles of the Gross-Pitaevskii-Poisson equation
Speaker: Prof. Vitaly Moroz (Swansea University)
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Title: Unbounded viscosity solutions of Hamilton-Jacobi equations with mechanical Hamiltonian in Wasserstein space
Speaker: Dr. Othmane Jerhaoui (IRMAR - INSA Rennes)