Author

Abigaïl Ingster

École Polytechnique Fédérale de LausanneORCID 0009-0008-1800-2932Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:optimal transport· 1

Frequent Co-Authors

Adam Hanina· 1 shared Alberto Silvio ChiappaiD· 1 shared Alexander MathisiD· 1 shared Alexandre PougetiD· 1 shared David KleiniD· 1 shared Jesse A. LivezeyiD· 1 shared Nisheet PateliD· 1 shared Pablo TanoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperNeuroscience

Adam Hanina

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJul 2, 2026

Closed-loop optimization of a high-dimensional generative latent space for rhythmic visual response

Jesse A. Livezey, Yaqing Su, Stephanie Wolfer…·Adam Hanina

This paper demonstrates closed-loop optimization of visual stimuli to modulate steady-state visual evoked response (SSVEP) power in non-invasive EEG recordings.

DOI 10.64898/2026.06.27.734819

humanelectronic health records

𝕏 PostBluesky

NeuroscienceNeuronPeer-reviewedOct 1, 2024

Acquiring musculoskeletal skills with curriculum-based reinforcement learning

Alberto Silvio Chiappa, Pablo Tano, Nisheet Patel…·Alexander Mathis

This paper uses curriculum-based reinforcement learning to train a neural network to control a musculoskeletal hand model, revealing insights into motor control and synergy analysis.

33 citationstop 1%

machine learning (classical)

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