Viewing profile — alkalait
alkalait
HN member- Joined
- Tue, Aug 11, 2015, 9:39 AM UTC
- HN karma
- 4
- Public activity
- 10 items
- HN profile
- View on Hacker News ↗
About alkalait
Until recently I was an Applied Research Scientist at Element AI in London, focusing on applications of ML and statistics that enable NGOs and nonprofits. I led the Super-Resolution research collaboration with Mila (Yoshua Bengio's lab), and was awarded by ESA for topping the PROBA-V Super-Resolution challenge.
I'm also a primary co-author of the first technical report written with Amnesty International, on the large-scale study of online abuse against women on Twitter.
Twitter: https://twitter.com/alkalait
Recent public activity
-
comment
Comment #32749353
Hello. I'd like to share here a potentially valuable resource for those looking to understand how AI is transforming remote sensing, or get into the field of Earth Observation. (Se…
- story
-
comment
Comment #23801669
Last week I published this article on Amnesty International's blog, co-authored with Amnesty's human rights researchers. This is an example of AI helping to protect Human Rights. W…
- story
- story
- story
-
comment
Comment #13105711
Getting the game state data means deciding a-priori what features the AI should learn on. The whole point of the deep learning paradigm is to allow a machine to learn such features…
-
comment
Comment #10757518
I'm a bit familiar with PyMC, but all it seems to do is Gibbs sampling, which mixes horribly compared to HMC. How easy would the transition to PyStan be?
-
comment
Comment #10649400
That's because most were toy examples dealing with discrete distributions in a few dimensions. Granted, these are mathematically easier to deal with, but not representative of real…
-
comment
Comment #10649370
I enjoyed MMDS, but the lectures given by Ulman were painful to sit through. The man could simply not deliver a single sentence not read verbatim from a screen.