Postdoc, University of California, Berkeley
2 papers at NeurIPS 2025
A new multi-modal dataset and an initial benchmark model for Geo-spatial Artificial Intelligence
The way we rasterize images to 1D sequences to feed into long sequence models is sub-optimal! We show that orders other than row major can be better, and provide an RL method to learn the optimal ordering.
