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DTSTART;TZID=Europe/Brussels:20240201T130000
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SUMMARY:Johan Barthélemy (University of Wollongong\, NVIDIA)
DESCRIPTION:Title : Accelerating Simulations with NVIDIA Modulus \nAbstract : High-fidelity simulations in science and engineering are computationally expensive and time-prohibitive for quick iterative use cases\, from design analysis to optimization. \nNVIDIA Modulus\, the open source physics machine learning platform\, turbocharges such use cases by building physics-based deep learning models that are order of magnitudes. faster than traditional methods and offer high-fidelity simulation results.  Once trained\, the model can perform quick forward passes\, making it ideal for applications that demand fast responses\, such as real-time simulations of large complex systems. \nModulus is a offers a suite Physics-ML model architectures\, including Fourier neural operators. It provides an end-to-end pipeline for training models\, from geometry ingestion to training and inference\, with explicit parameter specifications for a wide range of applications.  The framework is also integrated with NVIDIA Omniverse for enhanced visualization and is tailored for high-performance\, leveraging technologies for multi-GPU computing and multinode scaling. \nThis seminar will present the key features\, use cases\, and performance aspects of NVIDIA Modulus\, providing attendees with a understanding of its capabilities and applications. \nThe seminar will take place in Room S07 at the Faculty of Sciences.
URL:https://www.naxys.be/event/johan-barthelemy-university-of-wollongong-nvidia/
CATEGORIES:NAXYS Seminar
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DTSTART;VALUE=DATE:20240208
DTEND;VALUE=DATE:20240209
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SUMMARY:Women and Girls in Science
DESCRIPTION:The International Day of Women and Girls in Science takes place every 11th of February\, following the declaration by the General Assembly of the United Nations on 22nd of December 2015. \nThis annual event aims at promoting the access of women and girls to science and technology as well as their full and fair participation. It reminds the important role of women in the scientific community and constitutes a great opportunity to encourage girls and young women to participate in the scientific developments.
URL:https://www.naxys.be/event/women-and-girls-in-science/
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DTSTART;TZID=Europe/Brussels:20240229T130000
DTEND;TZID=Europe/Brussels:20240229T140000
DTSTAMP:20260502T122729
CREATED:20231115T130540Z
LAST-MODIFIED:20240223T080934Z
UID:2060-1709211600-1709215200@www.naxys.be
SUMMARY:Morine Delhelle (UCLouvain)
DESCRIPTION:Title : Copula based dependent censoring in cure models with covariates \nAbstract : In survival data analysis\, datasets with both a cure fraction (individuals who will never experience the event of interest) and dependent censoring (loss to follow-up for a reason related to the event of interest before the occurrence of that event) are not scarce\, and appropriate models and methods must be considered to avoid biased estimators of the survival function or incorrect conclusions in clinical trials. Delhelle and Van Keilegom proposed a fully parametric model for the bivariate distribution of survival (T) and censoring (C) times\, that takes these features into account. The model depends on a parametric copula (with an unknown association parameter) and on parametric marginal distributions for T and C. An advantage is that it allows one to estimate the strength of the dependence and the cure rate. \n\n\n\nThis talk presents an improvement of this model. Administrative censoring is considered separately from dependent censoring\, and covariates are included in the model. \n\n\n\nAuthors : Morine Delhelle (Institute of Statistics\, Biostatistics and Actuarial Science\, UCLouvain\, Belgium) and Ingrid Van Keilegom (ORSTAT\, KU Leuven\, Belgium) \nThe seminar will take place in Room S08 at the Faculty of Sciences.
URL:https://www.naxys.be/event/morine-delhelle-uclouvain/
CATEGORIES:NAXYS Seminar
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