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GSI 2021 – 5th conference on Geometric Science of Information

21/07/2021 – 23/07/2021 @ Toute la journée – As for GSI’13/GSI’15/GSI’17/GSI’19, the objective of this 5th SEE GSI’21 conference, hosted in Sorbonne University, is to bring together pure/applied mathematicians and engineers, with common interest for Geometric tools and their applications for Information analysis and Learning. It emphasizes an active participation of young researchers to discuss emerging areas of collaborative research on “Geometric Science […]

DEVI Webinar – Elsa Cazelles (CNRS / IRIT)

08/04/2021 @ 10h30 – 11h30 – Optimal (weak) transport and barycenters Abstract: We introduce the weak barycenter of a family of probability distributions, based on the recently developed notion of optimal weak transport of measures. We provide a theoretical analysis of the weak barycenter and its relationship to the classic Wasserstein barycenter, and discuss its meaning in the light of convex […]

DEVI Webinar – Davide Scotti (University of Bergamo, Italy)

25/03/2021 @ 10h30 – 11h30 – The impact of LCCs’ growth on the air networks of European NCs Abstract: We study how European network carriers’ (NCs’) air networks evolved in response to competitive inroads by low-cost carriers (LCCs) over the last two decades. As LCCs added routes and increased their market shares, NCs reacted by reconfiguring their networks. Specifically, we find […]

DEVI Webinar – Guillaume Pommey (University degli Studi di Roma Tor Vergata, Italy)

11/03/2021 @ 10h30 – 11h30 – How to Regulate Modern Aiports? Abstract: In addition to the provision of aeronautical services, modern airports are also in charge of providing commercial services to passengers as well as investing in their infrastructure. We investigate the optimal regulation of airports and its implementation. Optimal prices for aeronautical services and commercial services follow a Ramsey-Boiteux pricing […]

DEVI Webinar – Marc Ivaldi (TSE, EHESS)

11/02/2021 @ 10h30 – 11h30 – Agglomeration, Transport and Productivity: Evidence from Toulouse Metropolitan Area Abstract: Economic activity tends to be highly concentrated. These agglomeration or concentration forces are driven by spatial externalities on productivity, and are named agglomeration externalities. Transport improvements – by reducing the interaction cost between economic agents placed in different locations – can extend the geographic scope […]

DEVI Webinar – Paul Rochet (ENAC)

10/12/2020 @ 10h30 – 11h30 – A coupling of the spectral measures at a vertex Abstract I will introduce a particular coupling of the spectral measures at the vertices of a graph, whose moments count the rooted closed paths in the graph. The resulting joint spectral measure verifies numerous interesting properties that allow to recover minors of analytical functions of the […]

DEVI Webinar – Miguel Urdanoz (TBS)

26/11/2020 @ 10h30 – 11h30 – Airline Scheduling: learning from past errors Abstract On time performance is a key attribute to attract airline’s customers. Airlines can control on time performance by enlarging schedule times and indeed airlines have been doing so over the last decades although this implies higher costs for their operations. For instance, according to Zhang et al (2018) […]

DEVI Webinar – Bertrand Jouve (CNRS)

12/11/2020 @ 10h30 – 11h30 – Graph Mining by Vertex Dismantlings Abstract When considering the topology of complex networks, an important question is how local topological constraints impact the overall topology of the network. This issue is addressed from a mathematical perspective by examining some particular families of graphs. For these graphs, the results of an exploration of the vertices in […]

DEVI Seminar – Pierre-Cyril Aubin-Frankowski (Mines ParisTech)

08/10/2020 @ 10h30 – 11h30 – State-constrained Linear-Quadratic Optimal Control as a Kernel Regression with Hard Shape Constraints Abstract Regression problems in control or machine learning typically involve shape constraints, such as positivity or monotonicity on a prescribed compact set. Such constraints stem from qualitative priors or physical constraints, and can often be written as an infinite number of pointwise inequalities. […]