Concepedia

Max Dabagia

MD

6

Publications

90

Citations

6

H-Index

2019

Active since

Affiliations

Georgia Institute of Technology(Current)

Google DeepMind (United Kingdom)

Washington University in St. Louis

Max Dabagia is an author at Georgia Institute of Technology specializing in machine learning, data science, and deep learning.

Top concepts

EngineeringData ScienceDeep LearningMachine LearningComputer ScienceKnowledge DiscoveryPattern RecognitionNeurosciencePublic HealthImage Analysis

Publications per year

2019–2022

6

Publications

6

Hierarchical Optimal Transport for Multimodal Distribution Alignment

John Lee, Max Dabagia, Eva L. Dyer et al. · arXiv (Cornell University) · 2019 · 20 citations · Full text

Target Dataset, Source Dataset, Geometric Learning +20

Aligning latent representations of neural activity

Max Dabagia, Konrad P. Körding, Eva L. Dyer · Nature Biomedical Engineering · 2022 · 19 citations · Full text

Cognitive Science, Action Pattern, Computational Neuroscience +6

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

Ran Liu, Mehdi Azabou, Max Dabagia et al. · 2021 · 16 citations · Full text

Engineering, Machine Learning, Neural Recoding +19

Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction

Mehdi Azabou, Mohammad Gheshlaghi Azar, Ran Liu et al. · arXiv (Cornell University) · 2021 · 13 citations · Full text

Artificial Intelligence, Geometric Learning, Engineering +18

Hierarchical Optimal Transport for Multimodal Distribution Alignment

J. Jack Lee, Max Dabagia, Eva L. Dyer et al. · Neural Information Processing Systems · 2019 · 11 citations

Target Dataset, Source Dataset, Geometric Learning +20

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