Reposted by @agramfort.bsky.socialThéo 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/bdhszwtntinyurl.comGitHub - probabl-ai/skore: the scikit-learn sidekickthe scikit-learn sidekick. Contribute to probabl-ai/skore development by creating an account on GitHub. 1147
Reposted by @agramfort.bsky.socialRémi Flamary @rflamary.bsky.social · 13/12/2024With 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.ioExamples gallery — POT Python Optimal Transport 0.9.5 documentation 131
agramfort.bsky.social @agramfort.bsky.social · 16/12/2024Great science and friends moments this year at @neuripsconf.bsky.social see you next year 👋 020
agramfort.bsky.social @agramfort.bsky.social · 08/12/2024I 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.socialAntoine Collas @antoinecollas.bsky.social · 04/12/2024Next 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: 1/7arxiv.orgGeodesic Optimization for Predictive Shift Adaptation on EEG dataElectroencephalography (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.socialMathurin Massias @mathurinmassias.bsky.social · 27/11/2024Anne 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