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Eva Dyer - Seeing the forest and the tree: Decomposing representations of neural activity
NeuroHackademy 2018: Eva Dyer - Finding structure in neural recordings
Taming Complexity Cosyne 2023 - Eva Dyer
Eva Dyer, "How we can use dropout to build more generalizable links between the brain and behavior"
FSNet nuScenes demo
Mine Your Own View A New Self Supervised Learning Approach for Building
An Inside Look at NASA's SpaceML Worldview Search
Self-supervised clustering of seismic signal using deep neural networks
"Tune in and Dropout: How Data Augmentation can Help us Build Better Brain Decoders"
Temporal Supervised Contrastive Learning with Applications to Tabular Time Series Data
Jeroen Janssens - R and Raylib: All Fun and Games‽
Take DLITE (delight) in Information Theory for Data Science -- A Lecture @ IEEE Big Data Conference