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David Rolnick

MIT

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

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Jun 16, 2025
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Causal Climate Emulation with Bayesian Filtering

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Jun 11, 2025
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Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery

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Jun 05, 2025
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Assessing SAM for Tree Crown Instance Segmentation from Drone Imagery

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Mar 26, 2025
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Open-Set Recognition of Novel Species in Biodiversity Monitoring

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Mar 03, 2025
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Galileo: Learning Global and Local Features in Pretrained Remote Sensing Models

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Feb 13, 2025
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Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery

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Oct 11, 2024
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Causal Representation Learning in Temporal Data via Single-Parent Decoding

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Oct 09, 2024
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Tree semantic segmentation from aerial image time series

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Jul 18, 2024
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Evaluating the transferability potential of deep learning models for climate downscaling

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Jul 17, 2024
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