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My thesis on deep learning with graph-structured representations is available here.
Uncertainty in the subsurface characterisation of uk nuclear sites poses significant risks in terms of operational cost and environmental protection.
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Awesome thesis
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01/2020: i have coupled google brain equally a research man of science in amsterdam.
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Improved knowledge of the uncertainty of submarine properties and processes is needed stylish order to raise risk mitigation.
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Thanks to my college friends bas, jessica, francis, sarah, andy, frankie, jonny, suze, walid, sophia, Martin, max, maj, nirmalie, luiza, ld and many more.
04/2020: one have defended my phd thesis with highest distinction cum laude.
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Understanding random forests: from theory to practice
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Thanks to my friends kathrin and zammy from my phd programme; we mutual the journey to becoming doctors and come out of the other conclusion with lifelong friendships as well equally new titles.
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My thesis explores the computational tools and techniques for analysing single-cell rna sequencing data.
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12/2019: one am co-organizing the ellis workshop connected geometric and relative deep learning.
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Pathwise conditioning of gaussian processes
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This image illustrates Matérn gaussian processes on riemannian manifolds.
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This picture illustrates Pathwise conditioning of gaussian processes.
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