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Author

Fanny Lehmann

Observed name: Lehmann, Fanny
Observed institutions: Supélec, École Normale Supérieure Paris-Saclay, Centre National de la Recherche Scientifique, Inserm, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université Paris-Saclay, CEA Paris-Saclay - Etablissement de Saclay, CEA Grenoble, ETH Zurich, University of Bristol, CEA DAM Île-de-France, CentraleSupélec, CEA Paris-Saclay, Institut pour l'avancée des biosciences, Laboratoire de Mécanique Paris-Saclay, Seminar for Applied Mathematics, Université Grenoble Alpes
ORCID: 0000-0002-8296-6110
Observed ORCID: 0000-0002-8296-6110
OpenAlex ID: A5024278031
How well are we able to close the water budget at the global scale?
2022 · Fanny Lehmann, Bramha Dutt Vishwakarma, et al. · Hydrology and earth system sciences · 96
3D elastic wave propagation with a Factorized Fourier Neural Operator (F-FNO)
2024 · Fanny Lehmann, Filippo Gatti, et al. · Computer Methods in Applied Mechanics and Engineering · 84
Association of Daily Temperature With Suicide Mortality: A Comparison With Other Causes of Death and Characterization of Possible Attenuation Across 5 Decades
2022 · Fanny Lehmann, Pierre-Etienne Alary, et al. · American Journal of Epidemiology · 27
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Multiple-input Fourier Neural Operator (MIFNO) for source-dependent 3D elastodynamics
2025 · Fanny Lehmann, Filippo Gatti, et al. · Journal of Computational Physics · 20
Fourier Neural Operator Surrogate Model to Predict 3d Seismic Waves Propagation
2023 · Fanny Lehmann, Filippo Gatti, et al. · UNCECOMP Proceedings · 17
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Machine learning opportunities to conduct high-fidelity earthquake simulations in multi-scale heterogeneous geology
2022 · Fanny Lehmann, Filippo Gatti, et al. · Frontiers in Earth Science · 15
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Synthetic ground motions in heterogeneous geologies from various sources: the HEMEW S -3D database
2024 · Fanny Lehmann, Filippo Gatti, et al. · Earth system science data · 11
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Performance Analysis of a Novel High Frequency Self-Reconfigurable Battery
2021 · Rémy Thomas, Fanny Lehmann, et al. · World Electric Vehicle Journal · 8
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Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation
2023 · Lehmann, Fanny, Gatti, Filippo, et al. · arXiv (Cornell University) · 5
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Physics-based Simulations of 3D Wave Propagation with Source Variability: HEMEW^S-3D
2023 · Lehmann, Fanny · HAL · 5
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Fine-Tuning a Weather Foundation Model With Lightweight Decoders for Unseen Physical Processes
2026 · Lehmann, Fanny, Ozdemir, Firat, et al. · 2
Seismic hazard analysis with a Fourier Neural Operator (FNO) surrogate model enhanced by transfer learning
2023 · Lehmann, Fanny, Gatti, Filippo, et al. · HAL · 2
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Closing the water budget at the global scale using observations, remote sensing, and reanalyses
2021 · Fanny Lehmann, Brahma Dutt Vishwakarma, et al. · 2
Fine‐Tuning a Weather Foundation Model With Lightweight Decoders for Unseen Physical Processes
2026 · Fanny Lehmann, Firat Ozdemir, et al. · Journal of Geophysical Research Machine Learning and Computation · 1
ESFM - A foundation model framework for heterogeneous data integration
2026 · Firat Ozdemir, Yun Cheng, et al. · 1
Uncertainty propagation from crustal geologies to rock-site ground motion with a Fourier Neural Operator
2024 · Fanny Lehmann, Filippo Gatti, et al. · European Journal of Environmental and Civil engineering · 1
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Infrasound propagation with deep neural operators
2024 · Christophe Millet, Elodie Noele, et al. · The Journal of the Acoustical Society of America · 1
Every Fixed Metric Has a Blind Spot: A Learned Atmospheric Critic for Scoring Forecast Realism
2026 · Elberkennou, Younes, Demler, Dmitri, et al. · arXiv (Cornell University)
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Integrating GNSS-Derived Zenith Wet Delay into a Weather Foundation Model Improves Precipitation Forecasting
2026 · Trentini, Leonardo, Lehmann, Fanny, et al. · arXiv (Cornell University)
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Shake Anywhere: a Simulation-free Ai-based Earthquake Ground Motion Generator for Any Source /any Geology
2026 · Perrone, Niccolò, Lehmann, Fanny, et al. · HAL
GNSS-FM: A Self-Supervised Foundation Model for Daily GNSS Displacement Time Series
2026 · Teutschmann, Nick, Crocetti, Laura, et al. · arXiv (Cornell University)
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Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations
2026 · Perrone, Niccolò, Lehmann, Fanny, et al. · arXiv (Cornell University)
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Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts
2026 · Lehmann, Fanny, Ozdemir, Firat, et al. · arXiv (Cornell University)
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Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting
2026 · Ozdemir, Firat, Cheng, Yun, et al. · arXiv (Cornell University)
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A Hybrid FNO-Diffusion Framework for Uncertainty-Aware Source Energy Estimation in Atmospheric Waveguides
2026 · Elodie Noëlé, Filippo Gatti, et al.
Works count: 64
Citation count: 299
H-index: 8
I10-index: 7
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