'LinCDE: Conditional Density Estimation via Lindsey's Method', by Zijun Gao, Trevor Hastie.
http://jmlr.org/papers/v23/21-0840.html
#NewPaper #PaperPost
| github | https://github.com/ogrisel |
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| scikit-learn | https://scikit-learn.org |
'LinCDE: Conditional Density Estimation via Lindsey's Method', by Zijun Gao, Trevor Hastie.
http://jmlr.org/papers/v23/21-0840.html
#NewPaper #PaperPost
I always thought #StableDiffusion prompts needed the right combination of words. But byte-pair encoding can represent anything you can type, including math formulas and emojis. Turns out you don't need any words at all! Here's how and why this works...🧵
Prompt: 🧑🚀👽🛰️🌌 🔥🍄
Opening the laptop lid, checking the red CI on the main branch:
TypeError: data type 'int0' not understood
One of those days... Let's grab another coffee first.
Thanks so much to everyone who backed us a Patron! We are over 2/3rds of the way to fully paying off hosting, which helps us a ton.
We'll work on updating the about page and assigning patron roles to users within a day or two 
In case you missed it, GeoPython 2023 (March 06-08 in Basel, Switzerland) has just opened a call for speakers at https://2023.geopython.net.
It is the best conference around for people working with geospatial data in Python. Highly recommend!
Submission deadline is December 16, 2022
See you in Basel! 🐍
New (5 days old), small (39 active users today) mastodon instance for human centric datascience:
> Community of nice & diverse people researching human-centric data science and adjacent topics, like human-centric data/network science, social data science, computational social science.
administered by @mszll
New blog post on the NeurIPS'21 experiment re authors' perceptions of their own papers!
https://blog.ml.cmu.edu/2022/11/22/neurips2021-author-perception-experiment/
Key findings:
1) Authors significantly overestimate their papers' chances of acceptance. By like a LOT.
>
Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan(NeurIPS 2021 Program Chairs) Charvi Rastogi, Ivan Stelmakh, Zhenyu Xue, Hal Daumé III, Emma Pierson, and Nihar B. Shah There is a considerable body of research on peer review. Within the machine learning community, there
i just installed the dev version of #rstats {dplyr} and I SERIOUSLY CANNOT EXPRESS ENOUGH HOW AWESOME IT IS!!
the rolling joins, the messaging... it is so, so, so good! 🤩