Sign in

agramfort.bsky.social

@agramfort.bsky.social
142 followers 75 following 3 posts

Building the future of neural interfaces from EMG signals at Meta Reality Labs. Ex Research director at Inria, scikit-learn co-founder, mne-python creator.

PostsRepliesMedia
Reposted by @agramfort.bsky.social
Théo Gnassounou @tgnassou.bsky.social · 12/02/2025
🚀 I’m pleased to announce a new preprint! "SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities" 📢 Check it out & contribute! 📜 Paper: arxiv.org/abs/2407.11676 💻 Code: github.com/scikit-adapt...
1135
Reposted by @agramfort.bsky.social
:probabl. @probabl.ai · 22/01/2025
🚀 Meet skore—the @scikit-learn.org sidekick! 🔹 Offers guidance on modeling 🔹 Automated reports & key metrics 💡 Built by scikit-learn maintainers. Open-source & ready to use! Try it 👉 tinyurl.com/bdhszwtn
tinyurl.com
GitHub - probabl-ai/skore: the scikit-learn sidekick
the scikit-learn sidekick. Contribute to probabl-ai/skore development by creating an account on GitHub.
1147
Reposted by @agramfort.bsky.social
Rémi Flamary @rflamary.bsky.social · 13/12/2024
With some help (and terrifying but so nice code reviews) from @agramfort.bsky.social we made it a proper Python library with a documentation and an example gallery. pythonot.github.io/auto_example...
pythonot.github.io
Examples gallery — POT Python Optimal Transport 0.9.5 documentation
131
agramfort.bsky.social @agramfort.bsky.social · 16/12/2024
Great science and friends moments this year at @neuripsconf.bsky.social see you next year 👋
020
agramfort.bsky.social @agramfort.bsky.social · 08/12/2024
I will be at @neuripsconf.bsky.social 2024 in Vancouver next week. Ping me if you want to grab ☕️ or🍺 and chat about ML stuff for biosignals (EMG, EEG, MEG, …)
010
Reposted by @agramfort.bsky.social
Antoine Collas @antoinecollas.bsky.social · 04/12/2024
Next week, we’ll present our spotlight paper at #NeurIPS2024 on domain adaptation for EEG data. Join us in East Exhibit Hall A-C on Friday at 4:30 PM! arxiv.org/abs/2407.03878 Apolline Mellot @sylvchev.bsky.social @agramfort.bsky.social @dngman.bsky.social A thread: 1/7
arxiv.org
Geodesic Optimization for Predictive Shift Adaptation on EEG data
Electroencephalography (EEG) data is often collected from diverse contexts involving different populations and EEG devices. This variability can induce distribution shifts in the data $X$ and in the b...
172
Reposted by @agramfort.bsky.social
Mathurin Massias @mathurinmassias.bsky.social · 27/11/2024
Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition! We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
1235299