15 citations · 34 across the 4 of their papers we have counts for
4 papers · 1 filter
Enabling CMF Estimation in Data-Constrained Scenarios: A Semantic-Encoding Knowledge Mining Model
Yanlin Qi, Jia Li, Michael Zhang
Precise estimation of Crash Modification Factors (CMFs) is central to evaluating the effectiveness of various road safety treatments and prioritizing infrastructure investment acco…
Effectively Modeling Time Series with Simple Discrete State Spaces
Michael Zhang, Khaled K. Saab, Michael Poli +3
Time series modeling is a well-established problem, which often requires that methods (1) expressively represent complicated dependencies, (2) forecast long horizons, and (3) effic…
Simple Hardware-Efficient Long Convolutions for Sequence Modeling
Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen +5
State space models (SSMs) have high performance on long sequence modeling but require sophisticated initialization techniques and specialized implementations for high quality and r…
Contrastive Adapters for Foundation Model Group Robustness
Michael Zhang, Christopher Ré
While large pretrained foundation models (FMs) have shown remarkable zero-shot classification robustness to dataset-level distribution shifts, their robustness to subpopulation or…