
PhD student @INRIA_parietal on learning representations for heterogeneous images and texts
Paris, France
Joined January 2018
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Raphael Meudec retweeted
📢Joblib release day📢 We just released joblib 1.4!! 🤠
To update it, just run:
pip install -U joblib
Some new features: return_generator support for dask backend, collecting the results as they complete, caching coroutines, ... 😎
Full release note: tinyurl.com/joblib-1-4
Happy to share our work on decoding cognitive processes from fMRI images without label supervision at poster 229 in #OHBM2023
We associate rich annotations from the literature with spatial reconstructions from peak activation tables to decode NeuroVault images.
@InriaMind
Raphael Meudec retweeted
[SEMINAR] See you on March 14th, at @Inria_Saclay for a co-organized seminar with @soda_INRIA @InriaMind teams!
📢 Elisabeth Bik (@MicrobiomDigest) will hold a conference about "The Dark Side of Science: Misconduct in Biomedical Research".
bit.ly/3FbADpz
⏲ 12:00-1:30pm
Raphael Meudec retweeted
I asked #Galactica about some things I know about and I'm troubled. In all cases, it was wrong or biased but sounded right and authoritative. I think it's dangerous. Here are a few of my experiments and my analysis of my concerns. (1/9)
Thrilled to give an oral tomorrow at 10:30 at #OHBM22!
We successfully decode 50 cognitive processes from fMRI maps by exploiting the large amount of data in @Neurovault and leveraging the @CognitiveAtlas ontology
See you in M1 for the Modeling and Analysis Activation session!
Raphael Meudec retweeted
Cognitive activity can be predicted "in the wild"
For **any** cognitive neuroscience study, mental processes involved can be inferred from fMRI maps.
rdcu.be/cMntD
@GaelVaroquaux @Parietal_INRIA @NeuroSpin_91
Raphael Meudec retweeted
Our team at Inria Saclay is looking for a software engineer interested in developing a plugin system to allow for efficient GPU computing kernels for popular machine learning algorithms in scikit-learn (nearest neighbors, k-means, T-SNE...):
recrutement.inria.fr/public/… #job
Raphael Meudec retweeted
Super excited to finally release this handbook on writing good research code. Based on my experiences going from research to industry and research again. goodresearch.dev/
Raphael Meudec retweeted
We’re hiring ! team.inria.fr/parietal/were-… We're hiring a developer for t...
tf-explain release 0.3.1:
- Fix back-propagation issues in GradCAM
- Compatibility with TensorFlow 2.5 and 2.6
- tf-explain is now backed on Zenodo
- Proper citation file
Planning release 1.0.0 for end of 2021 with one major change 👇
The plan is to split the current explain() method into 2 parts:
- explain() which will generate the raw attribution maps
- explain_visualize() which will generate visualization of the attribution maps (current explain() behaviour)
Names not definitive
Raphael Meudec retweeted
🥳 MNE-Python 0.24released 🥳
✅ new coregistration GUI
✅ new #iEEG electrode localization GUI
✅ new time-series signal browser
✅ revamped HTML reports
We will feature select enhancements here over the next few days.
#python #meg #eeg #neuroimaging
mne.discourse.group/t/mne-py…
Raphael Meudec retweeted
Replying to @ykilcher
Ah yes so now reviewers will only have to guess who can afford 4739364639373 GPUs hours to train the ever larger transformers
Raphael Meudec retweeted
#MLtools: combine DVC and Streamlit strength!
Check out the article I just wrote on @sicara_fr blog!
@DVCorg @streamlit
sicara.ai/blog/dvc-streamlit…
Raphael Meudec retweeted
Bonjour ! 👋
Vous avez plus de 18 ans et fait du vélo en ville au moins deux fois cette année ? 🚲
Vous pouvez aider une équipe de chercheur·e·s à mesurer l'effet des dispositifs mis en place depuis la crise sanitaire ! 🚧
Rdv sur velotactique.org
RT appréciés 🙏
Raphael Meudec retweeted
🎉 Proudly releasing EasyFSL 0.2 🎉
It's cleaner, wider, and still fully tested and exhaustively documented, so you can save time and gain intelligence when developing few-shot learning projects or experiments. Tell me what you think! github.com/sicara/easy-few-s…
Raphael Meudec retweeted
Bonjour,
J'ai le plaisir de vous annoncer que toute l'équipe de journalistes qui a récemment quitté Science & Vie, et dont je fais partie, rend public aujourd'hui même la création d'un nouveau magazine scientifique. Il s'appelle Epsiloon (prononcer epsilon).




















