Mehdi Rahim

[Gael Varoquaux 🦋 @GaelVaroquaux]

👩‍🎓👨‍🎓 Internship offers (1st step to PhD program) in my group:
https://t.co/8fWlTiTrzX

Topics:
◼ Health AI & causality, accounting for censoring (for people who love health impact)
◼ Foundation models for tabular learning (for people into bigger models)

Come work with us!

[Himanshu @man_shuuu]

Hello #OHBM2024! Wanna know how you can leverage across-subject information to improve within-subject decoding? @BertrandThirion, Liza Al-Shikhley, and I came up with a very approachable method to do so.

Let's talk more about it at poster #1432 on Wed and Thu between 2-4pm.

[Ana Luísa Pinho 🦋 @ALuisaPinho]

The #IBC 3rd-release data-paper is out! We validate naturalistic tasks using #FastSRM, an unsupervised model where a shared response and individual maps are learnt jointly from fMRI time series. Check it out! https://t.co/Qaj6ota2hs @BertrandThirion @hr1ch3rd @NeuroSpin_91

[CEA @CEA_Officiel]

#Cerveau🧠| Première mondiale : le cerveau dévoilé comme jamais grâce à l’IRM le + puissant au monde conçu et développé au CEA !
🤩Découvrez les 1ères images de cerveau obtenues avec le scanner IRM Iseult, doté d’un champ magnétique inégalé de 11,7 teslas👉https://t.co/h0Tpps7Jcy

[David Rolnick @david_rolnick]

What drives innovation in machine learning?

In a new paper, we argue that application-driven work is systemically under-valued in the machine learning community, but that it's essential for both innovation and impact.
https://t.co/EJiKbILW6O

1/3

[Gael Varoquaux 🦋 @GaelVaroquaux]

✨ embedder for short strings, useful for table string entries (string matching, entity linking or clustering, fuzzy join) 🤖
https://t.co/2UlSGpjyNk

Adds to transformer models a character-level model and a model of the phrase type. Yet very lightweight (33.4M or 109M params)
👇

[Mehdi Rahim @Mehdi____R]

@glemaitre58 Great news! Good luck Guillaume

[Gael Varoquaux 🦋 @GaelVaroquaux]

Announcing @probabl_ai, an accelerator for open source and @scikit_learn in particular. It is both a spin-off from @inria and a broader venture.
I'm excited and proud to be part of this adventure!

[Stanislas Dehaene @standehaene.bsky.social @StanDehaene]

We still need many more native English volunteers for our simple test of math vocabulary -- click on this link:
https://t.co/777zj3lnZ7
Please pass the word around! it only takes 15 minutes.

[skrub @skrub_data]

🎉✨First release of skrub 0.1.0
https://t.co/SJ8G9HRPV0
Couple dataframes and databases to machine learning to facilitate data prep

🌟Less data wrangling, more machine learning🌟

1/8
🧵👇

[Alexandre Blain @alexandrebln]

🚀Happy to share our paper at @NeurIPSConf with @BertrandThirion @ogrisel @pneuvial: https://t.co/4XK9rs4Ij9

It introduces KOPI, a novel method for statistically controlled variable selection based on Knockoffs. Come check out our poster #1004 at #NeurIPS2023!

🧵1/6

[Denis A. Engemann @dngman]

Are you interested in assessing variable importance in your custom non-linear or non-parametric prediction model for high-dimensional biomedical data? Do you prefer methods based on statistical principles rather than ad-hoc rankings of variables? 🚨 #NeurIPS23 📢

Our latest work presented at #NeurIPS23 addresses the challenge of statistically valid inference of variable importance through conditional permutation techniques and presents novel model-agnostic algorithms🚀💥 alongside simulation-based and empirical benchmarks versus popular variable importance techniques.

If you are in New Orleans 🎷🥁🎶 - don't miss out on chatting with @ahmadchm96 & @BertrandThirion on Wednesday at poster session 3. Both attend in person.

For a detailed thread 🧵 👇🏿👇👇🏽https://t.co/zAei7U0fer

[Denis A. Engemann @dngman]

🥁📣Check out our latest paper that might help you combining heterogeneous #EEG datasets for #ML applications!👇🧶

[Centre Inria de Saclay @Inria_Saclay]

Félicitations @GaelVaroquaux 👏 ! Directeur de recherche et responsable de l'équipe-projet @soda_INRIA, ses travaux récents ont démontré le décalage entre la performance des algorithmes d'IA et la réalité du progrès clinique. #HighlyCitedResearchers

➡️ https://t.co/40d04b6qNj

[goulagman @goulagman]

@huggingface proudly claims to be ethical, yet they exhibit 3 lamas for their event, when activists of animal rights try to ban all exploitation of animals for leisure. I'm curious: how does it fit in your ethical framework?

[Mathurin Massias @mathusmassias]

pyFaust goes open source! https://t.co/6cdI2qBhMX

FAµST factorizes any dense matrix as a product of sparse factors. Apply it to your operators to get reduced storage and faster matrix multiplication!

[Gabriel Peyré @gabrielpeyre]

Conditional independence of entries of Gaussian vectors defines a graph associated to the inverse of the covariance (precision matrix). Graphical Lasso estimates a sparse graph by l^1 penalizing the maximum likelihood estimator. https://t.co/pLMs6zLD98

[Gael Varoquaux 🦋 @GaelVaroquaux]

🎓👨‍🦱👩 Post-doc: From missing values to deep learning on sets
https://t.co/j1p3hjInYG

with myself and @MarineLeMorvan at @soda_INRIA

Come work with us on an exciting topic across statistics and deep learning

[npj Digital Medicine @npjDigitalMed]

🏆Most cited paper of 2022 is this review on #MachineLearning for medical imaging, including its methodological failures and recommendations for the future.

@GaelVaroquaux @DrVeronikaCH

https://t.co/XlURBVP1lU

[gio @GiorgioPatrini]

I am launching @mystralai, a gen AI agency. We develop custom LLM enterprise applications

We serve $100M ARR clients and fast growing series A/B startups

I am bold on the opportunity with AI service biz right now

My first time running an agency. Will share our lesson learned!