David B. Lobell

5 papers · 2024–2026 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

ICLR (2) ICML (2) AAAI (1)

Top co-authors

Stefano Ermon (4) Samar Khanna (4) Marshall Burke (3) Medhanie Irgau (2) Rohin Manvi (2) Chenlin Meng (1) Patrick Liu (1) Harrison H Li (1) Robin Rombach (1) Karen Solveig Rieckmann (1)

Research topics

Artificial Intelligence (4) Deep Learning (3) Machine Learning (3) Core AI (3) Natural Language Processing (2) Application Areas (2) Resources & Methods (2) Techniques (2) Computer Vision (1) Core Methods (1) Domain-Specific (1) Generation (1) Learning Paradigms (1) Models (1)

Keywords

satellite imagery (2) image generation (1) domain adaptation (1) computer vision (1) unsupervised pretraining (1) uncertainty quantification (1) knowledge extraction (1) multispectral imaging (1) remote sensing (1) diffusion model (1) confidence interval (1) linear probing (1) domain shift (1) large language model (1) prediction-powered inference (1) geospatial prediction (1) geographic bia (1) crop yield estimation (1) population density (1) loras (1)

Papers

Scalable Vision-Guided Crop Yield Estimation AAAI 2026 ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts ICML 2025 DiffusionSat: A Generative Foundation Model for Satellite Imagery ICLR 2024 GeoLLM: Extracting Geospatial Knowledge from Large Language Models ICLR 2024 Large Language Models are Geographically Biased ICML 2024