Author

Nils Lehmann

Observed names: Lehmann, Nils, Nils Lehman

Institutions: Munich Center for Machine Learning, Technical University of Munich, University of California, Berkeley

Observed institutions: Munich Center for Machine Learning, Technical University of Munich, University of California, Berkeley

ORCID: 0000-0002-3142-0783

Observed ORCID: 0000-0002-3142-0783

OpenAlex ID: A5112940564

GEO-Bench: Toward Foundation Models for Earth Monitoring

2023 · Alexandre Lacoste, Nils Lehmann, et al. · neural information processing systems · 40

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Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation

2025 · Leonard Waldmann, Ando Shah, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 13

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SSL4EO-L: Datasets and Foundation Models for Landsat Imagery

2023 · Adam Stewart, Nils Lehmann, et al. · neural information processing systems · 12

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No One Knows the State of the Art in Geospatial Foundation Models

2026 · Corley, Isaac, Lehmann, Nils, et al. · arXiv (Cornell University) · 2

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oceanTACO_extended

2026 · Nils Lehmann · Hugging Face · 1

OceanTACO

2026 · Nils Lehmann · Hugging Face · 1

DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation

2025 · Xiong, Zhitong, Wang, Yi, et al. · arXiv (Cornell University) · 1

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Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning

2024 · Lehmann, Nils, Gawlikowski, Jakob, et al. · arXiv (Cornell University) · 1

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Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data

2024 · Lehmann, Nils, Gottschling, Nina Maria, et al. · arXiv (Cornell University) · 1

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Global Decadal Sea Surface Height Forecast with Conformal Prediction

2023 · Nils Lehmann, Jonathan Bamber, et al. · 1

MIND the Gap: A Geographic Implicit Neural Representation with Adjustable Spatial Scale

2026 · Corley, Isaac, Rao, Arjun, et al. · arXiv (Cornell University)

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OceanTACO: a multi-sensor global ocean sea surface state dataset

2026 · Nils Lehmann, Cesar Aybar, et al. · Earth system science data

Beyond Accuracy: Assessing Calibration of Geospatial Foundation Models and Their Sensitivity to Distribution Shifts

2026 · Lehmann, Nils, Gawlikowski, Jakob, et al. · arXiv (Cornell University)

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Reply on RC2

2026 · Nils Lehmann · Earth system science data

Reply on RC1

2026 · Nils Lehmann · Earth system science data

deepC: High-Resolution Carbon Emissions Monitoring via Spatio-Temporal Generative Data Assimilation

2026 · Ando Shah, Nils Lehman, et al.

OceanBottle: Sea Surface State Data Assimilation and Downscaling

2026 · Nils Lehmann, Ando Shah, et al.

Advancing Earth Observation Through Machine Learning: A TorchGeo Tutorial

2026 · Robinson, Caleb, Lehmann, Nils, et al. · arXiv (Cornell University)

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EO-VAE: Towards A Multi-sensor Tokenizer for Earth Observation Data

2026 · Lehmann, Nils, Wang, Yi, et al. · arXiv (Cornell University)

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Seismic Monitoring and Analysis Challenge (SMAC) Report

2026 · Daniele Rege Cambrin, Lorenzo Vaiani, et al. · Communications in computer and information science

Conditional Generative Models for OceanBench Sea Surface Height Interpolation

2024 · Nils Lehmann, Jonathan Bamber, et al.

Works count: 23

Citation count: 73

H-index: 3

I10-index: 3