Author

Maxime Oquab

Meta (United Kingdom)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Jean-Rémi KingiD· 2 shared Agnès TrébuchoniD· 1 shared Christian BénariD· 1 shared David López-Paz· 1 shared François ChartoniD· 1 shared Jean‐Michel BadieriD· 1 shared Romain CarroniD· 1 shared Stanislas DehaeneiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersNeuroscience

Jean-Rémi KingORCID

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2 papers

Recent·Most cited

Dimensionality and ramping: Signatures of sentence integration in the dynamics of brains and deep language models

Théo Desbordes, Yair Lakretz, Valérie Chanoine, Maxime Oquab, Jean‐Michel Badier, Agnès Trébuchon, Romain Carron, Christian Bénar, Stanislas Dehaene, Jean-Rémi King

The paper investigates how neural representations of sentences evolve, finding that meaningful sentences have higher dimensionality and specific dynamic patterns in both human brains and deep language models.

Journal of Neuroscience · May 22, 2023Peer-reviewedNeuroscience

Discriminating the Influence of Correlated Factors from Multivariate Observations: the Back-to-Back Regression

Jean-Rémi King, François Charton, David López-Paz, Maxime Oquab

The paper introduces Back-to-Back regression to disentangle correlated factors from multivariate observations, showing it outperforms existing methods in causal identification.

bioRxiv · Mar 5, 2020 · PreprintNeuroscience