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Here's another post from my recent excursion into Julia. It's a step-by-step tutorial on convolutional variational autoencoders in Flux: alecokas.github.io/julia/flux/vae… #JuliaLang #FluxML #JuliaCon

MIMIC-IV is out! Alistair Johnson has a great two-part tutorial at chilconference explaining the data (and what's changed from MIMIC-III), and walking through a full study using MIMIC-IV chilconference.org/tutorial_d.html chilconference.org/tutorial_f.html

SN5

"Maths is truth. Once you discover something in maths, it applies to all eternity" A huge congratulations to Professor Sir Martin Hairer from our Imperial_Maths who is the single winner of the $3m 2021 Breakthrough Prize in Mathematics (Breakthrough): ow.ly/fYY550Bn2SF

Accepted! #NeurIPS2020 🚀 paper:arxiv.org/abs/2006.10599

Delighted to announce my paper on geometric Jensen-Shannon VAEs has been accepted at #NeurIPS2020!

*After 3 years* my Imperial Masters project on "The r-Hunter–Saxton equation, smooth and singular solutions and their approximation" has finally been published in non-linearity! iopscience.iop.org/article/10.108…

Time-sensitive prediction for the #ICU using thousands of features with 𝙣𝙤 𝙣𝙚𝙚𝙙 𝙩𝙤 𝙨𝙚𝙡𝙚𝙘𝙩, 𝙘𝙪𝙧𝙖𝙩𝙚 𝙤𝙧 𝙘𝙡𝙚𝙖𝙣 𝙩𝙝𝙚 𝙙𝙖𝙩𝙖 𝙛𝙞𝙧𝙨𝙩 by Jacob Deasy Pietro Lio' and AriErcole using #MachineLearning nature.com/articles/s4159… doi.org/10.1038/s41598…

We believe users should have the choice over the data that is being collected about them and how it’s used. Facebook can continue to track users across apps and websites as before, App Tracking Transparency in iOS 14 will just require that they ask for your permission first.

⏪ Papers with Code: Year in Review. We’re ending the year by taking a look back at the top trending papers, libraries and benchmarks for 2020. Read on below! medium.com/paperswithcode…

🎉New paper review📹 Even LSTMs suffer from forgetting the input. Neural Turing Machines use external memory, similar to a CPU-Registers-RAM architecture 💻. Find out how the memory is addressed using end-to-end differentiable operations 👇 youtu.be/XBgwq4IePLw

Our paper on Graph Convolutional Networks in semi-supervised Swahili news classification has been accepted at #AfricaNLP #EACL2021! Have a look at the arxiv: arxiv.org/abs/2103.09325 and code: github.com/alecokas/swahi… Dataset thanks to Davis David ™ #NLProc

Find our presentation on GCNs for Swahili news classification in the #AfricaNLP2021 presentations playlist: youtube.com/watch?v=UtvOIh…

Delighted to be able share our work with the #SIGTYP community! See you all there! #SIGTYP2021 #NAACL2021

Happy that our MPSN paper has been accepted to #ICML2021. Final version with improvements & code coming soon. Work w/ Fabrizio Frasca*, Yu Guang Wang*, Nina Otter, G. Montúfar*, Pietro Lio', Michael Bronstein arXiv: arxiv.org/abs/2103.03212

Sign up for the #SIGTYP2021 low-resource language module and have a chance to ask us about our work

Today with EMBL-EBI, we're launching the #AlphaFold Protein Structure Database, which offers the most complete and accurate picture of the human proteome, doubling humanity’s accumulated knowledge of high-accuracy human protein structures - for free: dpmd.ai/alphafolddb 1/

PyTorch Geometric Temporal got accepted in the CIKM2021 Resource Track! Hope to see many of you at the conference :)

ArXiv arxiv.org/abs/2112.09788: Denoising score matching / Langevin dynamics with generalized normal distribution (eg Laplacian, heavy-tailed) for noising and denoising. Iterative noise scaling algorithm to handle multiple levels of noise in annealed Langevin dynamics.