Concepedia

Randall Balestriero

RB

20

Publications

694

Citations

13

H-Index

2017

Active since

Affiliations

Rice University(Current)

Université Grenoble Alpes

Centre National de la Recherche Scientifique

Institut des Sciences de la Terre

Randall Balestriero is an author at Rice University specializing in engineering, machine learning, and data science.

Top concepts

EngineeringData ScienceDeep LearningMachine LearningComputer SciencePattern RecognitionComputer VisionData AugmentationArtificial IntelligenceSelf-supervised Learning

Publications per year

2017–2024

20

Publications

20

Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning

Léonard Seydoux, Randall Balestriero, Piero Poli et al. · Nature Communications · 2020 · 198 citations · Full text

A Cookbook of Self-Supervised Learning

Randall Balestriero, Mark Ibrahim, Vlad Sobal et al. · arXiv (Cornell University) · 2023 · 161 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

The Effects of Regularization and Data Augmentation are Class Dependent

Randall Balestriero, Léon Bottou, Yann LeCun · arXiv (Cornell University) · 2022 · 39 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +20

Anatomy of Continuous Mars SEIS and Pressure Data from Unsupervised Learning

Salma Barkaoui, Philippe Lognonné, Taïchi Kawamura et al. · Bulletin of the Seismological Society of America · 2021 · 29 citations · Full text

Engineering, Seismic Wave, Deep Scattering Network +19

Learning in High Dimension Always Amounts to Extrapolation

Randall Balestriero, Jerome Pesenti, Yann LeCun · arXiv (Cornell University) · 2021 · 26 citations · Full text

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