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More on "Algorithms & Computationally Intensive Presentation By Gilles Louppe from The University of Liege for the Data Learning working group on 'The Lossless Neural Compression for Cosmological Paper (published at ICLR): openreview.net/pdf?id=bj0dcKp9t6 Github: github.com/goncalab/multifidelity-NPE Across ... Abstract: Many fields of science make extensive use of mechanistic forward models which are implemented through numerical ... arXiv: arxiv.org/abs/2110.06581. This week Shulin gave a tutorial on the use of More details: simonsfoundation.org/event/learn-the-universe-an-ml-x-cosmology-workshop/ 2 min - summary of our recent paper on "Bayesian model comparison for The pre-lecture video for Session 10 of CB2330, Scientific Computing for the Life Sciences, at KTH Royal Institute of Technology.
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