Concepedia

Mehdi Azabou

MA

6

Publications

115

Citations

6

H-Index

2021

Active since

Affiliations

Washington University in St. Louis(Current)

Georgia Institute of Technology

Google DeepMind (United Kingdom)

Mehdi Azabou is an author at Washington University in St. Louis specializing in deep learning, self-supervised learning, and machine learning.

Top concepts

EngineeringData ScienceDeep LearningMachine LearningSelf-supervised LearningComputer ScienceKnowledge DiscoverySemi-supervised LearningBusinessStatistics

Publications per year

2021–2023

6

Publications

6

Large-Scale Representation Learning on Graphs via Bootstrapping

Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar et al. · arXiv (Cornell University) · 2021 · 30 citations · Full text

Graph Representation Learning, Machine Learning, Engineering +16

Transcriptomic cell type structures in vivo neuronal activity across multiple timescales

Aidan Schneider, Mehdi Azabou, Louis McDougall-Vigier et al. · Cell Reports · 2023 · 24 citations · Full text

A Unified, Scalable Framework for Neural Population Decoding

Mehdi Azabou, Vinam Arora, Venkataramana Ganesh et al. · arXiv (Cornell University) · 2023 · 21 citations · Full text

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

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