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This article is meant for a policy audience, so that does keep the technical depth pretty thin. It's rooted in more rigorous deep learning work. Happy to send y
by williamtrask 1y ago
This article is meant for a policy audience, so that does keep the technical depth pretty thin. It's rooted in more rigorous deep learning work. Happy to send your way if interested.
- supermatt 1y agoPosting info on that “rigorous deep learning work” here would be more beneficial to all than just sending to me.
- williamtrask 1y agoI'm relatively close to publishing my PhD thesis which is broadly a survey paper of what you're describing. Will share (almost done with revisions).
- supermatt 1y agoI look forward to the post.