๐ Iโm pleased to announce a new preprint!
"SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities"
๐ข Check it out & contribute!
๐ Paper: arxiv.org/abs/2407.11676
๐ป Code: github.com/scikit-adapt...
12.02.2025 15:17 โ ๐ 13 ๐ 5 ๐ฌ 1 ๐ 2
GitHub - probabl-ai/skore: the scikit-learn sidekick
the scikit-learn sidekick. Contribute to probabl-ai/skore development by creating an account on GitHub.
๐ Meet skoreโthe @scikit-learn.org sidekick!
๐น Offers guidance on modeling
๐น Automated reports & key metrics
๐ก Built by scikit-learn maintainers. Open-source & ready to use!
Try it ๐ tinyurl.com/bdhszwtn
22.01.2025 16:22 โ ๐ 14 ๐ 7 ๐ฌ 1 ๐ 2
Examples gallery โ POT Python Optimal Transport 0.9.5 documentation
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...
13.12.2024 09:54 โ ๐ 3 ๐ 1 ๐ฌ 1 ๐ 0
Great science and friends moments this year at @neuripsconf.bsky.social see you next year ๐
16.12.2024 17:14 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
I will be at @neuripsconf.bsky.social 2024 in Vancouver next week. Ping me if you want to grab โ๏ธ or๐บ and chat about ML stuff for biosignals (EMG, EEG, MEG, โฆ)
08.12.2024 11:58 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
See you there ๐
08.12.2024 11:53 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
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...
Next week, weโll 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
04.12.2024 09:07 โ ๐ 7 ๐ 2 ๐ฌ 1 ๐ 0
Anne Gagneux, Sรฉgolรจne 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
27.11.2024 09:00 โ ๐ 354 ๐ 102 ๐ฌ 12 ๐ 11
Cognitive neuroscience of speech, timing, and rhythm https://kosem-anne.weebly.com/
Research director | @McGillU @Mila_Quebec @IVADO_Qc | My team designs machine learning frameworks to understand biological systems from new angles of attack
Researcher at Criteo. Interested in Bandits, Privacy, Competitive Analysis, Reinforcement Learning.
https://hugorichard.github.io/
MEG Staff Scientist at Aalto University and senior researcher at BioMag laboratory, Helsinki University Hospital.
Research scientist at Apple | machine learning, optimization, language modeling
pierreablin.com
Computational neuroscientist specialized in large scale neural network models of vision, perception and action @ CNRS / Aix-Marseille Universitรฉ.
Human Neocortical Neurosolver (HNN) is a user-friendly tool for researchers & clinicians to develop/test hypotheses on the neural origins of their EEG/MEG data. Developed by @jonescompneurolab.bsky.socialโฌ at Brown U. https://hnn.brown.edu
NeuroAI research ๐ง @ Sigma Nova
In-depth, independent reporting to better understand the world, now on Bluesky. News tips? Share them here: http://nyti.ms/2FVHq9v
Researcher in machine learning
Computer Science โข Applied Maths โข Software โข Progressive Music โข Scientific Software Engineer @quantstack.bsky.social
Anaconda Founder&Head of AI; created the PyData movement, PyScript, Bokeh, Datashader; Fellow @ Python Software Foundation; Center for Humane Tech
Game~B; Physics, Cybernetics, Memetics. A student of the human condition.
Memento mori
Studying genomics, machine learning, and fruit. My code is like our genomes -- most of it is junk.
Assistant Professor UMass Chan
Previously IMP Vienna, Stanford Genetics, UW CSE.
AI for Robotics at @HuggingFace ๐ค
Focusing on @LeRobotHF
Postdoc in comp neuro @BrownU, interested in biophysical modeling, deep learning, and open-source software development
Director of Artificial Intelligence at https://helsing.ai. Fellow @ellis.eu. Ex Principal Applied Scientist at AWS. Living in absurdism.
http://www0.cs.ucl.ac.uk/staff/c.archambeau/
