Archives : Events

  • Events

    On Learning- and Optimization-based Methods for Risk-Averse Control of Autonomous Systems

    From energy networks to space systems: complex Autonomous Systems (AS) have become pervasive in our society. In this context, the design of increasingly sophisticated methods for the modeling and control of AS is of utmost relevance, given that they regularly operate in uncertain and dynamic circumstances.On the one hand, to mitigate hazardous and possibly catastrophic…

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    International Conference on Malliavin Calculus and Related Topics

    This event is the occasion to reunite researchers from all around the world, working on Malliavin calculus and related topics, to celebrate the prolific careers of David Nualart and Anton Thalmaier.

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    Geometry, probability and their synergies

    Nalini Anantharaman, Ara Basmajian, Jeffrey Brock, Kevin Buzzard, Alessandra Faggionato, Anna Gusakova, Bram Petri, Andrea Seppi

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    Presentation of Engineers Without Borders Luxembourg

    Are you interested in social and ecological projects with a charitable aspect?No need to be an engineer, come and meet Engineers Without Borders Luxembourg! Join us on February 28th at 5 pm at the Kirchberg campus room B02.We will present our activities, explain why this association is important and how we can develop projects together. If interested come…

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    PhD Defense: Robust estimation in exponential families: from theory to practice

    PhD supervisor: Yannick BARAUD

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    Juntong Chen’ Defense

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    A Govzmann’s Defense

    Derived algebraic geometry over differential operator

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    Machine Learning Seminar meeting: Statistical methods in observational Cosmology

    Abstract:Modern Cosmology is now a data science. The large amount of cosmological models aiming at describing the evolution of structures in the Universe needs to be confronted with observations. To do so, it is common in this field to resort to Bayesian statistics, although fraught with many pitfalls of interpretation. In this presentation, I will…

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    Machine Learning Seminar meeting: How can we make tumour predictions when we do not understand everything?

    Abstract:In clinical reality, the need of quantitative tumour growth and progression predictions is pivotal for designing individualised therapies. To achieve this a plethora of examinations is conducted to assess the tumour lesion state, spanning from blood sample analysis, clinical imaging (e.g., CT, MRI), biopsy sampling, -omics screening etc. Such medical data correspond to snapshots in time…

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    Physics Seminar: From single cells to filaments: a dance of geometry and motion

    From single cells to filaments: a dance of geometry and motionIn recent years, biological motile cells like bacteria and microalgae have attracted considerable interestnot only among biologists but also in the physics community and related fields. Understanding theirmotion has immense biological and ecological implications. The possibility to harness their motion topower microdevices is a topic…

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