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Speaker: Cindy Poo, a senior scientist with the Allen Institute for Neural Dynamics and an Affiliate Assistant Professor in the Department of Physiology and Biophysics at the University of Washington
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QG Seminar
Speaker: Martin Cederwall (Chalmers University of Technology, Sweden)
Title: Review of Extended Geometry
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Lecture title: Early life sleep shapes brain development and social behavior in the socially monogamous prairie vole
Speaker: Miranda M. Lim, MD, PhD, Professor in the Department of Neurology at Oregon Health & Science University.
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[Speaker] Prof. Jeff Morris, Professor, CUNY City College of New York, Director, Levich Institute and Department of Chemical Engineering
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Join us for a special seminar at OIST, part of the A3 Foresight Meeting, presented by Prof. Ohtani and Prof. Takahashi.
Prof. Naoko Ohtani, Osaka Metropolitan University
Prof. Akiko Takahashi, Japanese Foundation for Cancer Research
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Speaker: Sylvester Eriksson-Bique, University of Jyv¨askyl¨a
Title: P-Dirichlet spaces and the resolution of the resistance and energy image density conjectures
Abstract: I will describe the resolution of two conjectures related to Dirichlet forms. In both cases a conceptually simple solution arises by stepping away from the p=2 regime. This leads to a new definition of a p-Dirichlet space, which unifies three quite different areas: Dirichlet form theory, Analysis on fractals and Analysis on metric spaces. The talk includes joint work with Mathav Murugan
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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