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Found 3 papers, 1 papers with code
Why do tree-based models still outperform deep learning on typical tabular data?
While deep learning has enabled tremendous progress on text and image datasets, its superiority on tabular data is not clear.
Interpreting Neural Networks through the Polytope Lens
Previous mechanistic descriptions have used individual neurons or their linear combinations to understand the representations a network has learned.
MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference
In this contribution, we propose a new computationally efficient method to combine Variational Inference (VI) with Markov Chain Monte Carlo (MCMC).
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