Conor Hassan
@hassanconor
ML Applied Scientist Intern @amazon
ID: 1277785363017117696
https://conorhassan.com 30-06-2020 02:05:55
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My fantastic co-authors Desi (Desi R. Ivanova) and Stefan (Stefan Radev) will present our paper on data-efficient amortized inference at #ICML2024 ✨ You can find them on Thursday from 13:30–15:00 in Hall C 4-9 at poster #1305. More info in Desi‘s thread below 🧵👇
also, check out this other work on the topic of generative flow networks by Tiago da Silva Tiago da Silva et al. x.com/wkly_infrmtive…
And finally this is out. How to make factor analysis and multi-study factor analysis very fast with Blake Hansen, Alejandra Avalos Massimiliano Russo Brown Biostatistics Brown Data Science Institute tandfonline.com/doi/abs/10.108…
Roberta DeVito Conor Hassan Massimiliano Russo Brown Biostatistics Brown Data Science Institute Miracle of the day: Blake is here!!!!🎉🎉🎉
Our very own Dr Samuel Livingstone is on the Spotlight in the latest issue of the UCL Mathematical & Physical Sciences newsletter! Find out more about Sam at: ucl.ac.uk/mathematical-p…
Roberta DeVito Conor Hassan Massimiliano Russo Brown Biostatistics Brown Data Science Institute Blake Wrong one... Oops! This is THE one Blake Hansen Damn you dislexia!
Our #ELLISUnit Helsinki students representing this week at #EDS2024 🙌 ELLIS Yifan Zhu Antti Honkela Samuel Kaski Faculty of Science, University of Helsinki Computer Science
Next Thursday, Sept. 12: Seminar on Advances in Probabilistic Machine Learning returns, with Thomas Möllenhoff: Variational Learning is Effective for Large Deep Networks. Register here for the Zoom link: aaltoml.github.io/apml/ cc Arno Solin Computer Science Computer Science @ University of Helsinki RIKEN Center for Advanced Intelligence Project