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David Rolnick

15 papers at tracked venues · 13 at CORE A* · active 2024–2026

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Venues

ICML ×6NeurIPS ×4AAAI ×2CVPR ×1ECCV ×1ECML-PKDD ×1

Frequent coauthors

Gabriel Tseng
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Catherine Villeneuve
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Pratinav Seth
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Mélisande Teng
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Sebastian Hickman
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Christina Butsko
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Nikolaos-Ioannis Bountos
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Eya Cherif
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Yuyan Chen
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Gül Sena Altintas
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Aditya Jain
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Ekansh Sharma
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Papers

  1. BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
    AAAI 2026 ·
    Catherine Villeneuve
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  2. Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
    ICML 2025 ·
    Pratinav Seth
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  3. Bringing SAM to new heights: leveraging elevation data for tree crown segmentation from drone imagery
    NeurIPS 2025 ·
    Mélisande Teng
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  4. Causal Climate Emulation with Bayesian Filtering
    NeurIPS 2025 ·
    Sebastian Hickman
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  5. Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal
    ICML 2025 ·
    Christina Butsko
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  6. FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring
    AAAI 2025 ·
    Nikolaos-Ioannis Bountos
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  7. Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
    ICML 2025 ·
    Gabriel Tseng
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  8. GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
    NeurIPS 2025 ·
    Eya Cherif
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  9. Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring
    NeurIPS 2025 ·
    Yuyan Chen
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  10. Task-Informed Meta-Learning for Remote Sensing
    CVPR 2025 ·
    Gabriel Tseng
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  11. The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions
    ICML 2025 ·
    Gül Sena Altintas
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  12. Insect Identification in the Wild: The AMI Dataset
    ECCV 2024 ·
    Aditya Jain
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  13. Position: Application-Driven Innovation in Machine Learning
    ICML 2024 · David Rolnick
  14. Simultaneous Linear Connectivity of Neural Networks Modulo Permutation
    ECML-PKDD 2024 ·
    Ekansh Sharma
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  15. Stealing part of a production language model
    ICML 2024 ·
    Nicholas Carlini
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