Hubert Banville — accepted AI-conference papers

2026

TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction

Stéphane d'Ascoli, Jérémy Rapin, Yohann Benchetrit, Hubert Banville, Jean-Remi King

ICLR 2026poster

Historically, neuroscience has progressed by fragmenting into specialized domains, each focusing on isolated modalities, tasks, or brain regions. While fruitful, this approach hinders the development of a unified model of cognition. Here, we introduce TRIBE, the first deep neural network trained to…

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2024

Brain decoding: toward real-time reconstruction of visual perception

Yohann Benchetrit, Hubert Banville, Jean-Remi King

ICLR 2024poster

In the past five years, the use of generative and foundational AI systems has greatly improved the decoding of brain activity. Visual perception, in particular, can now be decoded from functional Magnetic Resonance Imaging (fMRI) with remarkable fidelity. This neuroimaging technique, however, suffer…

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