David Rolnick

In-Context Reinforcement Learning through Bayesian Fusion of Context and Value Prior

Encoding Spatio-temporal Locations with Orthogonal Function Representations

Bringing SAM to new heights: leveraging elevation data for tree crown segmentation from drone imagery

The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions

Causal Climate Emulation with Bayesian Filtering

Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery

Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery

Galileo: Learning Global & Local Features of Many Remote Sensing Modalities