Elliot L. Epstein

According to our database, Elliot L. Epstein authored at least 4 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

A Set-Sequence Model for Time Series.

Elliot L. Epstein, Apaar Sadhwani, Kay Giesecke

CoRR, May, 2025

Score-Debiased Kernel Density Estimation.

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

CoRR, April, 2025

2024

MMMT-IF: A Challenging Multimodal Multi-Turn Instruction Following Benchmark.

Elliot L. Epstein, Kaisheng Yao, Jing Li, Xinyi Bai, Hamid Palangi

CoRR, 2024

2023

Simple Hardware-Efficient Long Convolutions for Sequence Modeling.

Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré

Proceedings of the International Conference on Machine Learning, 2023