Nicolas Farrugia

Full Professor @IMTAtlantique. Better Representations for Artificial Intelligence team. Neuroscience, AI, music cognition. Jazz vibraphone

[Nicolas Farrugia @milthampton]

Authors Yassine El Ouahidi, Jonathan Lys, Bastien Pasdeloup and Giulia Lioi will be in San Diego to present it next week.
Huge shoutout to all authors, @karimjerbineuro , Philipp Tholke and Vincent Gripon

[Nicolas Farrugia @milthampton]

Big news! Our paper, REVE: A Foundation Model for EEG, accepted at #NeurIPS2025! 🎉

🧠 Largest EEG pretraining (25K subjects, 60k+ hrs). 🌐 Novel 4D positional encoding for ANY EEG setup. SOTA on 10 tasks.

Paper, models & Colab: https://t.co/JqZMz9xVBu
#EEG #FoundationModels

[Nicolas Farrugia @milthampton]

This was done as part of a little lyrics experiment, testing ideas related to earworms. :) https://t.co/AtpLBHHCZJ
#earworms #Kpop #doner #roti #ai #GenAI #suno

[Ilyass Moummad @MoummadIlyass]

🐦Simplifying access to bird audio data with 6-sec segments selected via PANN in PyTorch (.pt) format! Xeno-Canto, a large pre-training dataset: https://t.co/Qh3gdEj7U4
Eval datasets from BIRB for few-shot learning: https://t.co/N14HdsT1Ym
More info: https://t.co/pVsYXFD6tp

[CNRS Écologie & Environnement @CNRSecologie]

#RésultatScientifique 🔎

🌍🔊 Une collaboration internationale de 261 chercheurs de 35 pays a recueilli des sons urbains pendant le confinement. Les données sont maintenant disponibles en open access pour diverses recherches.

👉 https://t.co/NpHdZQSsKB

[Ilyass Moummad @MoummadIlyass]

We address the challenge of domain shift when training on focal recordings and testing on soundscape recordings by using supervised contrastive learning. We evaluate our approach on a large-scale few-shot benchmark for bird sound classification.

[Nicolas Farrugia @milthampton]

Congratulations to our PhD student @raflaf_ for his new paper !

[Raphaël Lafargue @raflaf_]

🎉 Thrilled to announce our paper "Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning" accepted at #TMLR2024 ! 🎉

Big thanks to my amazing coauthors, including @jvlmdr @GriponVincent ! 🙌
🔗 https://t.co/VFt0vw2hoh
📽️ https://t.co/s4w1W4EZuO

[Johannes Imort @joimort]

🥳 Excited to share that our latest work on generating sample-based instruments from text or audio prompts has been accepted at #ISMIR2024! 🎹 — Our take on making AI-based music generation models useful for musicians!

🔊 https://t.co/NNjYl1jKvb
📜 https://t.co/sSluHNWSrS

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[Ev (like in 'evidence', not Eve) Fedorenko 🇺🇦 @ev_fedorenko]

Thrilled to share a review on THE LANGUAGE NETWORK AS A NATURAL KIND—a culmination of ~20 yrs of thinking about+studying language from linguistic, psycholinguistic, and cog neuro perspectives. @NatRevNeurosci https://t.co/JEQ3Qt50qe
With the amazing @neuranna @tamaregev 🥳
🧵1/n

[Venkatesh Subramani @Venkateshness]

The end of 3 yrs of "ah this looks reassuring, but,"

https://t.co/zfjUGFV66a let's dive in🧵

We investigated the link b/w source-localized continuous EEG (Movie &Rest) and individual anatomical scaffold using Eigenmodes / Graph Signal Processing(GSP)

[Ilyass Moummad @MoummadIlyass]

I am pleased to anounce that our work "Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection" (with @RSerizeland @milthampton) has been accepted for presentation at ICASSP 2024 !

Preprint: https://t.co/mw7HRmubj1
Github: https://t.co/Z67BeC3FJn

[bioRxiv Neuroscience @biorxiv_neursci]

Aligning the activity of artificial and biological neural networks to build personalised models of auditory processing in a massive ... https://t.co/YRYAyv97Ry #biorxiv_neursci

[Martin Hebart @martin_hebart]

I am looking for two postdocs to join us at Giessen University @jlugiessen, in collab. with the Max Planck Institute @MPI_CBS in Leipzig, funded by @ERC_Research & @ProLOEWE. We have exciting projects lined up but also offer a lot of freedom with implementing own ideas!👇 pls RT!

[Nicolas Farrugia @milthampton]

@AcademicEEG looking for reference papers and labs that investigate ecological/out of the lab paradigms using EEG. Any suggestions are welcome!

[Nicolas Farrugia @milthampton]

Our team BRAIn is hiring a tenured associate professor. Research in DL/ML with interests in few shot, graphs, signal processing and applications to neuro and audio. DM/ or eamil for more info or see here https://t.co/2Om2d3h3Zh

[Nicolas Farrugia @milthampton]

Very honored to give a talk tomorrow at USC !

[Karim Jerbi @karimjerbineuro]

We are delighted to host Dr Nicolas Farrugia @milthampton this Monday Feb 13 @ 11 am (PST / Los Angeles) for a seminar at USC @USCViterbi

Title: Interpreting Brain Activity Through Connectivity Using Graph Signal Processing

👉 Join us at EEB 539 or DM me for a zoom link!

[Nicolas Farrugia @milthampton]

@ferreri_laura @Sinfonica_mi @cardona_gemma_ @ximcer @brainvitge @FedericoCurzel @unipv Looks amazing, congratulations! What was the experiment about ?

[Nicolas Farrugia @milthampton]

@patrickmineault Maybe I got it wrong but I thought that neuroinformatics was about building the tools to accelerate research in Neurosciences, e.g BIDS standard, fmriprep, nipy ecosystem, etc.

[Nicolas Farrugia @milthampton]

Content d avoir contribué à ce sujet pour @brutofficiel , merci @ChandrouKoumar !

[Brut FR @brutofficiel]

Vous savez, cette petite mélodie qui sort de nulle part et qui squatte toute la journée dans votre tête… On appelle ça un "ver d'oreille".

À deux doigts de craquer, notre journaliste @ChandrouKoumar a voulu comprendre, alors il a demandé directement à un neuroscientifique.

[Nicolas Farrugia @milthampton]

A great hackathon organized by the BOB lab ! Awesome lineup of speakers too, check it out !

[Claude Bajada @ClaudeBajada]

The BOB Hack!
Neuroimaging Hackathon

TO REGISTER: https://t.co/M44jzRomdS

Dates and time:
30th November 8:30 - 20:00
1st December 9:00 - 19:30
2nd December 9:00 - 19:30

Students: €50*
Non-students/academic: €100
Corporate: €300

All levels of experience welcome!