Elliot L Epstein — accepted AI-conference papers

2025

SD-KDE: Score-Debiased Kernel Density Estimation

Elliot L Epstein, Rajat Vadiraj Dwaraknath, Thanawat Sornwanee, John Winnicki, Jerry Weihong Liu

NeurIPS 2025poster

We propose a method for density estimation that leverages an estimated score function to debias kernel density estimation (SD-KDE). In our approach, each data point is adjusted by taking a single step along the score function with a specific choice of step size, followed by standard KDE with a modif…

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2023

Simple Hardware-Efficient Long Convolutions for Sequence Modeling

Daniel Y Fu, Elliot L Epstein, Eric Nguyen, Armin W Thomas, Michael Zhang, Tri Dao +2

ICML 2023poster

State space models (SSMs) have high performance on long sequence modeling but require sophisticated initialization techniques and specialized implementations for high quality and runtime performance. We study whether a simple alternative can match SSMs in performance and efficiency: directly learnin…

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