Nils Lehmann
Scholar

Nils Lehmann

Google Scholar ID: dWXUzLoAAAAJ
Technical University of Munich, Munich Center of Machine Learning (MCML)
Machine Learning and Uncertainty Quantification for Earth Observation Data
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Citations & Impact
All-time
Citations
167
 
H-index
4
 
i10-index
2
 
Publications
10
 
Co-authors
12
list available
Contact
No contact links provided.
Publications
7 items
Beyond Accuracy: Assessing Calibration of Geospatial Foundation Models and Their Sensitivity to Distribution Shifts
2026
Cited
0
No One Knows the State of the Art in Geospatial Foundation Models
2026
Cited
0
Advancing Earth Observation Through Machine Learning: A TorchGeo Tutorial
2026
Cited
0
EO-VAE: Towards A Multi-sensor Tokenizer for Earth Observation Data
2026
Cited
0
GEO-Bench-2: From Performance to Capability, Rethinking Evaluation in Geospatial AI
2025
Cited
0
Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation
2025
Cited
0
GeoLangBind: Unifying Earth Observation with Agglomerative Vision-Language Foundation Models
2025
Cited
0
Resume (English only)
Co-authors
12 total
Adam J. Stewart
Adam J. Stewart
Postdoctoral Researcher, Technical University of Munich
Xiao Xiang Zhu
Xiao Xiang Zhu
Technical University of Munich
Yi Wang
Yi Wang
Technical University of Munich
Alexandre Lacoste
Alexandre Lacoste
Staff Research Scientist, ServiceNow Research
Hannah Rae Kerner
Hannah Rae Kerner
Assistant Professor, Arizona State University
Caleb Robinson
Caleb Robinson
Microsoft AI for Good
Isaac Corley
Isaac Corley
ML @ Wherobots | Ph.D. in Electrical Engineering from University of Texas at San Antonio
Eric Nalisnick
Eric Nalisnick
Assistant Professor, Johns Hopkins University