Citations; software progress

[dmm]

I have always been feeling somewhat awkward that my most cited paper has been an industrial pre-machine-learning paper on how to extract geographic references from a text.

Recently, our 2009 paper in American Mathematical Monthly on non-zero self-distances has finally surpassed it in the number of citations.

Meanwhile, my two papers I like the most have exactly zero citations.

5 months in a new job: among software achievements: now I know how to take autocomputed gradients with respect to variables assembled inside nested dictionaries. So I am no longer forced to reshape complicated tree-like-structures into flat arrays in order to use differentiable programming.

As a result, I can finally experiment with DMM training using gradient methods without putting too much labor into those experiments.

🇺🇦 🇺🇦 🇺🇦 Links are in the comments 🇺🇦 🇺🇦 🇺🇦

Comments

[dmm]

Other papers I wrote or co-wrote which I like:

Before 2000:

"Towards computing distances between programs via Scott domains", the free PDF is only available as Chapter 10 of my PhD Thesis "Mathematics of Domains": https://arxiv.org/abs/1512.03868

"Partial metrics and co-continuous valuations": https://link.springer.com/content/pdf/10.1007/BFb0053546.pdf (that's the one I could not present, getting travel documents was taking too long; this one became my third most cited one)

The rest of the material in "Mathematics of Domains".

***

After 2010:

"Some corollaries of the correspondence between partial metrics and multivalued equalities": this particular paper is available from me upon request (it's behind a paywall on the journal site), and it is the final accord of this cycle of work: https://www.cs.brandeis.edu/~bukatin/distances_and_equalities.html

***

The present cycle of work (this cycle of work gets zero external citations):

https://www.cs.brandeis.edu/~bukatin/partial_inconsistency.html

and

https://www.cs.brandeis.edu/~bukatin/dmm_next.html