⌜ Dimitri Lozeve ⌝

Research Engineer @ | Studied @UniofOxford @Polytechnique | Maths, ML, CompSci & Electronics enthusiast!
Mastodon: @[email protected]

[⌜ Dimitri Lozeve ⌝ @DimitriLozeve]

@jeremyjkun The scikit-learn docs cite a paper about applications of the JL lemma for database embeddings: https://t.co/AfUVjuxZgA
Not sure if this has been implemented in a production database though.

[Subbarao Kambhampati (కంభంపాటి సుబ్బారావు) @rao2z]

The impressive deep pattern recognition abilities of #DNN's such as #LLM's are sometimes confused for reasoning abilities

I can learn to guess, with high accuracy, whether a SAT instance is satisfiable or not, but this not the same as knowing how to solve SAT. Let me explain. 1/

[Kevin Patrick Murphy @sirbayes]

I am delighted to announce that the camera-ready version of my new book, "Machine Learning: Advanced Topics", is finally available online for free at https://t.co/XjR3nnLtOI (@mitpress will publish the hard copy in 2023.)

[colimit.eth/.tez @colimit_art]

quasitiling brain-spinning

[Julian Togelius @togelius]

My position on AGI is now officially that I'm an "AGI noncognitivist". For reference, see theological noncognitivism.
https://t.co/LrY2EDUDEz

[Gro-Tsen @gro_tsen]

One scientific fact that I find mind-blowing is that the experiments which give the most precise measurement of the mass of the sun don't look at the sun or, indeed, involve the sun in any way whatsoever. Instead, they might, e.g., place heavy masses around a torsion balance.

[Yann LeCun @ylecun]

About the raging debate regarding the significance of recent progress in AI, it may be useful to (re)state a few obvious facts:

(0) there is no such thing as AGI. Reaching "Human Level AI" may be a useful goal, but even humans are specialized.
1/N

[Zain Shah @zan2434]

This may seem like innocuous behavior, but it is a hallmark of genuine intelligence that’s eluded connectionist AI for decades - dynamic symbol binding and manipulation.

[Google DeepMind @GoogleDeepMind]

Gato🐈a scalable generalist agent that uses a single transformer with exactly the same weights to play Atari, follow text instructions, caption images, chat with people, control a real robot arm, and more: https://t.co/9Q7WsRBmIC

Paper: https://t.co/ecHZqzCSAm 1/

[Sasha Rush @srush_nlp]

The Annotated S4 (https://t.co/Qyylpwo6J6 /w @siddkaramcheti)

A step-by-step guide for building your own 16,000-gram language model...

[European Space Agency @esa]

😮 LIFTOFF of @esa_webb and @ariane5 #VA256 on 25 December 2021, at 12:20 GMT/13:20 CET, an awesome #Christmas present to the international @NASAWebb, @csa_asc and @esa teams and to space science!!! #WebbFliesAriane

[Sebastian Raschka @rasbt]

Reading ML bio literature, I noticed Matthews correlation coefficient (vs other metrics for assessing ML classifiers) is quite popular. Usually, I stick to precision, recall, and F1 for interpretability reasons, but this article is really convincing: https://t.co/JcKdC4ejRd 🧵

[Philippe Cherabier @CherabierPh]

New blog post in #aSpoonfulOfOcean 🥄💧 ! Big populations helped us predict the ecology of a system, let's now see how long timescales can be used to predict its evolution 👇
https://t.co/PbKsQkAs2b

[Vidit Nanda @viditnanda]

What is the public value of research mathematics?

Here's a brief thread about my essay for the new @protectingmaths blog, which you can find here:

https://t.co/wHK0BDPStT

(1/6)

[Google DeepMind @GoogleDeepMind]

We’ve acquired the MuJoCo physics simulator (https://t.co/knwXLZMr4L) and are making it free for all, to support research everywhere. MuJoCo is a fast, powerful, easy-to-use, and soon to be open-source simulation tool, designed for robotics research: https://t.co/Of3Q1W2GIR

[Sebastian Raschka @rasbt]

"Pitfalls in ML Research: Reexamining the Dev Cycle" -- really great article that I can only highly recommend to ML researchers & practitioners: https://t.co/YMcCFh8ldV. (PS: Not to be confused with the also excellent "How to avoid ML pitfalls" I shared a few weeks ago) 👇

[⌜ Dimitri Lozeve ⌝ @DimitriLozeve]

For a 𝘧𝘢𝘯𝘵𝘢𝘴𝘵𝘪𝘤 and accessible introduction to population dynamics and modelling, check out @CherabierPh's latest blog post 👇

[Philippe Cherabier @CherabierPh]

Today, we go into the nuts and bolts of individual centered models in #aSpoonfulOfOcean 🥄💧! As always, everything is in plain language, so come on here if you want to have a feel on how exactly one can model darwinian evolution with very little effort 👇
https://t.co/Auk62XgkCr

[Tai-Danae Bradley @math3ma]

My collaborators and I recently posted a paper to the arXiv that uses simple ideas from enriched category theory to address a math question motivated by the success of large language models. I'll explain some of the ideas on the blog - 1st post is now up! https://t.co/9LVeOEbayK

[Philippe Cherabier @CherabierPh]

Back to biology in #aSpoonfulOfOcean🥄💧! Today, we learn about the way ocean biology can help trap atmospheric CO2 for several thousand years 👉 https://t.co/gtbHHmQ0bt

[Thomas Wolf @Thom_Wolf]

And it went great!

Teven now has two papers in conference proceedings: the 🤗transformers *best demo paper* at EMNLP 2020, and this *best paper* at NAACL 2021 on the equivalence between prompts and data points 😱