Max Dabagia

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Citations	186	186
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Eva L. DyerGeorgia Institute of TechnologyVerified email at gatech.edu
Mehdi AzabouGeorgia Institute of TechnologyVerified email at gatech.edu
Ran LiuGeorgia TechVerified email at gatech.edu
Keith HengenWashington University In Saint LouisVerified email at wustl.edu
Chi-Heng LinGeorgia Institute of TechnologyVerified email at gatech.edu
Mohammad Gheshlaghi AzarCohere AIVerified email at google.com
Santosh S. VempalaGeorgia TechVerified email at gatech.edu
Christos H PAPADIMITRIOUColumbia UniversityVerified email at columbia.edu
Konrad Paul KordingNathan Mossell University Professor (PIK), bioengineering & neuroscience, UPenn, CIFAR LMBVerified email at upenn.edu
John LeeGeorgia Institute of TechnologyVerified email at gatech.edu
Christopher RozellJulian T. Hightower Chaired Professor of Electrical & Computer Engineering, Georgia TechVerified email at gatech.edu

Max Dabagia

Computer Science, Georgia Tech

Verified email at gatech.edu - Homepage

Theoretical computer science machine learning computational neuroscience


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Hierarchical optimal transport for multimodal distribution alignment J Lee, M Dabagia, E Dyer, C Rozell Advances in Neural Information Processing Systems, 13474-13484, 2019	61	2019
Mine your own view: Self-supervised learning through across-sample prediction M Azabou, MG Azar, R Liu, CH Lin, EC Johnson, K Bhaskaran-Nair, ... arXiv preprint arXiv:2102.10106, 2021	43	2021
Aligning latent representations of neural activity M Dabagia, KP Kording, EL Dyer Nature Biomedical Engineering, 1-7, 2022	35*	2022
Drop, swap, and generate: A self-supervised approach for generating neural activity R Liu, M Azabou, M Dabagia, CH Lin, M Gheshlaghi Azar, K Hengen, ... Advances in Neural Information Processing Systems 34, 10587-10599, 2021	20	2021
Assemblies of neurons learn to classify well-separated distributions M Dabagia, SS Vempala, C Papadimitriou Conference on Learning Theory, 3685-3717, 2022	12*	2022
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers R Liu, M Azabou, M Dabagia, J Xiao, E Dyer Advances in neural information processing systems 35, 2377-2391, 2022	10	2022
Computation with Sequences in the Brain M Dabagia, CH Papadimitriou, SS Vempala arXiv preprint arXiv:2306.03812, 2023	2	2023
Using self-supervision and augmentations to build insights into neural coding M Azabou, M Dabagia, R Liu, CH Lin, KB Hengen, WUS Louis, EL Dyer NeurIPS 2021 Workshop on Selfsupervised Learning: Theory and Practice 4, 2021	2	2021
Learning with Plasticity Rules: Generalization and Robustness RC Cristian, M Dabagia, C Papadimitriou, S Vempala	1	2020
Mine your own view: A self-supervised approach for learning representations of neural activity M Azabou, MG Azar, R Liu, CH Lin, EC Johnson, K Bhaskaran-Nair, ...

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