Pedro Zuidberg Dos Martires
@pedrozudo.bsky.social
460 followers 53 following 34 posts
pedrozudo.github.io
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pedrozudo.bsky.social
I guess this calls for an adequate celebration.
pedrozudo.bsky.social
Attending my forst tutorial of this year's UAI IN Rio. Fun fact about Rio. It's the only city outside of Europe that was the capital of a European countr at some point.
auai.org
uai2025 @auai.org · Jul 21
and

"Counterfactuals in Minds and Machines"

by ‪@tobigerstenberg.bsky.social‬ (Stanford), ‪@autreche.bsky.social‬ (MPI SS) and ‪@stratiss.bsky.social‬ (MPI SS)
pedrozudo.bsky.social
Unfortunately, this will also entail unavoidable collateral damage with people not at fault being called out.
pedrozudo.bsky.social
Let's be honest, if you are looking for a community NeurIPS might be the wrong place. It's simply too big and anonymous. With anonymity comes people gaming the system and I think we should be calling out bad behavior more aggressively, eg."co-authoring" 10 papers and not contributing to peer-review.
pedrozudo.bsky.social
I think Katrien Beuls has been doing empirical research in this direction in the context of robotics.
share.google
pedrozudo.bsky.social
The crazy thing about epicycles: at the time Kopernicus introduced his model they were far superior in terms of predictive power compared to the heliocentric model. This was still true when Kepler refined the model with ellipses. Epicycles had been extremely refined over time (capital+labor)
pedrozudo.bsky.social
For machine learning this means that neural nets will keep on winning not necessarily for technical reasons but for sheer volume of investment and work hours that are being poured in their development.
pedrozudo.bsky.social
Basically, every model and even the way we do science is a child of its time and has to be understood not only in a scientific context but also in a societal and economic one.
pedrozudo.bsky.social
I guess all the answers above. But I meant it more in post-modernist philosophy of science way (reading Feyerabend at the moment)
pedrozudo.bsky.social
Hot take: neural networks are the epicycles of the 21st century.
pedrozudo.bsky.social
Ever changing from physics to AI and studying probabilistic ML, I have been wondering, how does all of this relate to quantum information theory 🎲.

I believe I've gotten a whole lot closer to the answer.
arxiv.org/abs/2506.01824

I'll be presenting the work at this year's @auai.org in Rio 😎
Reposted by Pedro Zuidberg Dos Martires
jjcmoon.bsky.social
We developed a library to make logical reasoning embarrasingly parallel on the GPU.

For those at ICLR 🇸🇬: you can get the juicy details tomorrow (poster #414 at 15:00). Hope to see you there!
pedrozudo.bsky.social
TLDR; yes... well, kind of 🙃
pedrozudo.bsky.social
Hmmm but many PPLs do numeric integration... and automatic differentiation is definitely not the same as numeric differentiation
pedrozudo.bsky.social
For years I have been studyibg the top researchers in AI. They all share one personal trait:
attention to DETIAL.
pedrozudo.bsky.social
I miss the times when all we cared about was end-to-end differentiability. Now all there seems to be is world domination this, world domination that.
pedrozudo.bsky.social
Dieses Paradox schreit nach einem Namen.
pedrozudo.bsky.social
I think deepseek is amazing and I kind of like it... Buuuut... 🙃

(Saw something like this in someone else's post but can't find it back)
pedrozudo.bsky.social
Well, the only thing that matters is statistics, e.g. the mean of a distribution, or the probability that your sample will fall into a subset of the support. Hot take: only use densities to make nice plots and convince reviewer #2.
pedrozudo.bsky.social
Probability densities are like the sun. Look at them directly and they will blind you 😎
@paolomorettin.bsky.social