Author

Max Dabagia

Georgia Institute of Technology

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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Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Organism:non-human primate· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Eva L. DyeriD· 2 shared Mehdi Azabou· 2 shared Chi-Heng Lin· 1 shared Jingyun Xiao· 1 shared Keith B. HengeniD· 1 shared Michal ValkoiD· 1 shared Mohammad Gheshlaghi Azar· 1 shared Ran LiuiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 26 mutual co-author links

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2 shared papersNeuroscience

Eva L. DyerORCID

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2 papers

Recent·Most cited

Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers

Ran Liu, Mehdi Azabou, Max Dabagia, Jingyun Xiao, Eva L. Dyer

This paper introduces a transformer architecture that models both individual and collective dynamics in time-varying systems, demonstrating its effectiveness on neural activity data.

bioRxiv · Jun 10, 2022 · PreprintNeuroscience

Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity

Ran Liu, Mehdi Azabou, Max Dabagia, Chi-Heng Lin, Mohammad Gheshlaghi Azar, Keith B. Hengen, Michal Valko, Eva L. Dyer

This paper introduces Swap-VAE, an unsupervised method for learning disentangled neural activity representations using self-supervised learning on neural recordings.

bioRxiv · Jul 21, 2021 · PreprintNeuroscience