Riccardo Mereu retweetledi
Riccardo Mereu
16 posts

Riccardo Mereu retweetledi

For the next couple weeks at NY systems reading group, we’ll be writing some GPU kernels
This was much requested, and I think now that there’s some excellent, well-written content online about CuTe DSL, makes sense to learn!
(CUDA is too hard / arcane, CuTe DSL is just low-level enough to be interesting to systems folks looking for a new challenge perhaps. Plus it might be useful to learn it for work.)
I was trying to figure out how we give people a quick trial of Hopper/Blackwell GPUs and realized I already made a free product for this at my last job lol, and it’s on-demand + collaborative. So we’ll use Notebooks.
notes.ekzhang.com/events/nysrg

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Riccardo Mereu retweetledi
Riccardo Mereu retweetledi
Riccardo Mereu retweetledi
Riccardo Mereu retweetledi
Riccardo Mereu retweetledi

Read a bit about Grokking recently. Here's some learnings:
"Grokking" is a curious neural net behavior observed ~1 year ago (arxiv.org/abs/2201.02177).
Continue optimizing a model long after perfect training accuracy and it suddenly generalizes.
Figure:

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Riccardo Mereu retweetledi

Deep Visual Geo-localization Benchmark
@gabriberton R. Mereu, G. Trivigno, C. Masone, G. Csurka, @SattlerTorsten @bcaputo_iit
tl;dr: modular image retrieval benchmark on visloc datasets. Study: backbones, mining, ANN, aug, data.
arxiv.org/abs/2204.03444…
deep-vg-bench.herokuapp.com




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If you are applying for #gradschool and have last-minute questions about your application, I'm willing to offer office hours on zoom this week. I do this with students I interact with at MIT and I want to make sure others get the same opportunity. write below if interested.
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Riccardo Mereu retweetledi
Riccardo Mereu retweetledi

We’re back with more #AtHomeWithAI researcher recommendations. Next up is research scientist @csilviavr with suggestions for resources to learn about causal inference! (1/5)

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Riccardo Mereu retweetledi
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