Author

Andy Bonnetto

École Polytechnique Fédérale de LausanneORCID 0009-0000-9006-7177Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Animal Behavior & Cognition· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:imaging· 2 Assay:behavioral assay· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1

Frequent Co-Authors

Alexander MathisiD· 2 shared Elizaveta KozlovaiD· 1 shared Lucas StoffliD· 1 shared Stéphane d’AscoliiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersAnimal Behavior & Cognition

Alexander MathisORCID

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2 papers

Recent·Most cited

Animal Behavior & CognitionbioRxivPreprintSep 27, 2025

DLC2Action: A Multimodal Deep Learning-based Toolbox for Automated Behavior Segmentation

Elizaveta Kozlova, Andy Bonnetto, Alexander Mathis

DLC2Action automates behavior segmentation using video, audio, and pose data, achieving strong performance across diverse datasets and supporting self-supervised learning and extensibility.

1 citation

mousehuman

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Animal Behavior & CognitionbioRxivPreprintAug 6, 2024

Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders

Lucas Stoffl, Andy Bonnetto, Stéphane d’Ascoli, Alexander Mathis

The paper introduces a masked autoencoder framework to analyze hierarchical behavior in motion capture data using synthetic and real benchmarks.

2 citations

imagingdeep learning

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