I’m excited to share that I joined Meta this week as a research scientist. I’ll be working again on AI for neural decoding with the amazing Alexandre Gramfort and Zaccharie Ramzi ! I’m looking forward to contributing to the future of neural interfaces !

About time !! :) I remember how great pyannote was already 4 years ago and can only recommend ! Congrats on the new company Hervé "pyannote" Bredin ! Excited to see the new future of pyannoteAI !

Interested in ill-posed learning tasks, uncertainty prediction, conditional density estimation or multi-head deep neural networks ? In our new paper, accepted at #ICML24, we tackle these challenges by exploring the Winner-Takes-All (WTA) training scheme. [1/n]

I’ll be attending #ICML2024 next week to present this excellent work led by Victor Letzelter ! Looking forward to chat about ill-posed machine learning tasks, data augmentation, pose estimation, eeg decoding or anything else ML at the poster session or around some coffee !

If you are at #ICML2024 , come chat with Victor Letzelter , David and I about conditional density estimation and ill-posed ML tasks this afternoon ! Poster session 4 - 1:30pm - poster # 1506

Oh boy, something definitely happened in 2022 ! 😅

Our team at Reality Labs at Meta is also open-sourcing two EMG datasets at #NeurIPS2024 : emg2pose and emg2qwerty Check it out if you want to try predicting hand poses and typed text from a new challenging data modality!

Yet another great work on multi-hypothesis learning by Victor Letzelter accepted to #NeurIPS2024 ! In this paper they show that simulated annealing can help to make the winner-takes-all loss more stable and robust, demonstrating its useful in many ill-posed real-world applications!

Thanks for the nice workshop ! It was great to be able to share our work, listen to great talks and have many interesting conversations !

Human-Computer Input via a Wrist-Based sEMG Wearable meta.com/blog/quest/sur…