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Jackie Schiller

2 accepted papers

2024

Contextual Feature Selection with Conditional Stochastic Gates

ICML 2024poster

Feature selection is a crucial tool in machine learning and is widely applied across various scientific disciplines. Traditional supervised methods generally identify a universal set of informative features for the entire population. However, feature relevance often varies with context, while the co…

Cited by 3SourcePDFScholar
2021

Learning Disentangled Behavior Embeddings

NeurIPS 2021spotlight

To understand the relationship between behavior and neural activity, experiments in neuroscience often include an animal performing a repeated behavior such as a motor task. Recent progress in computer vision and deep learning has shown great potential in the automated analysis of behavior by levera…