5 ms·
This is a pretty shitty, non-constructive response. I think neural differential equations are not easy to wrap one's head around even if you have a solid unders
by eigenspace 5y ago
This is a pretty shitty, non-constructive response. I think neural differential equations are not easy to wrap one's head around even if you have a solid understand of deep learning and differential equations.
Sure, if they spent a lot of time wading through the literature they'd probably understand fine, but the point they were making was that the post was quite unapproachable without having delved into the specific literature on neural differential equations.
I think this is a reasonably valid complaint, and does not warrant you implying that they don't deserve their job.
- uoaei 5y agoValid complaint how? If I have never studied carcinogenesis why should I believe I should understand the description of a new treatment for bone marrow cancer? The way any article is written reflects the audience it is suited for. If this article was intended for people unfamiliar with neural ODEs they would have put more effort into writing it in a suitable way.
- DNF2 5y agoThere is a big difference between a blog post and a scientific article. A blog post should be expected to popularize a topic and reach a wider audience. You also seem to be quite unfamiliar with breadth of the topic of mathematics. It is quite possible to take a mathematics phd without touching differential equations, except as an undergrad. BTW, implying that people don't deserve their job is just shitty behaviour, and way out of line.
- orbifold 5y agoI think it would have helped if the people writing that paper had not confused the issue by introducing a new name for something that is a well known thing in optimal control and had been invented even before neural networks, namely adjoint sensitivity analysis. There even appear multilayer networks of switching components in Pontryagin's book on the subject.