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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…

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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…

Jackie Schiller — accepted AI-conference papers · AIConfPaper