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Eva Dyer - Seeing the forest and the tree: Decomposing representations of neural activity

Eva Dyer - Seeing the forest and the tree: Decomposing representations of neural activity

NeuroHackademy 2018: Eva Dyer - Finding structure in neural recordings

NeuroHackademy 2018: Eva Dyer - Finding structure in neural recordings

Taming Complexity Cosyne 2023 - Eva Dyer

Taming Complexity Cosyne 2023 - Eva Dyer

Eva Dyer, "How we can use dropout to build more generalizable links between the brain and behavior"

Eva Dyer, "How we can use dropout to build more generalizable links between the brain and behavior"

FSNet nuScenes demo

FSNet nuScenes demo

Mine Your Own View A New Self Supervised Learning Approach for Building

Mine Your Own View A New Self Supervised Learning Approach for Building

An Inside Look at NASA's SpaceML Worldview Search

An Inside Look at NASA's SpaceML Worldview Search

Self-supervised clustering of seismic signal using deep neural networks

Self-supervised clustering of seismic signal using deep neural networks

"Tune in and Dropout: How Data Augmentation can Help us Build Better Brain Decoders"

"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

Temporal Supervised Contrastive Learning with Applications to Tabular Time Series Data

Jeroen Janssens - R and Raylib: All Fun and Games‽

Jeroen Janssens - R and Raylib: All Fun and Games‽

Take DLITE (delight) in Information Theory for Data Science -- A Lecture @ IEEE Big Data Conference

Take DLITE (delight) in Information Theory for Data Science -- A Lecture @ IEEE Big Data Conference