Anna Jungbluth

12 papers A* 1Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
3D Cloud reconstruction through geospatially-aware Masked Autoencoders.
CoRR
Stella Girtsou, Emiliano Diaz Salas-Porras, Lilli Freischem, Joppe Massant, Kyriaki-Margarita Bintsi, Guiseppe Castiglione, William Jones, Michael Eisinger, Emmanuel Johnson, Anna Jungbluth
2025 J jnl
CIPHER: Scalable Time Series Analysis for Physical Sciences with Application to Solar Wind Phenomena.
CoRR
Jasmine R. Kobayashi, Daniela Martin, Valmir P. Moraes Filho, Connor O'Brien, Jinsu Hong, Sudeshna Boro Saikia, Hala Lamdouar, Nathan D. Miles, Marcella Scoczynski, Mavis Stone, Sairam Sundaresan, Anna Jungbluth, Andrés Muñoz-Jaramillo, Evangelia Samara, Joseph Gallego
2025 J jnl
Global 3D Reconstruction of Clouds & Tropical Cyclones.
CoRR
Shirin Ermis, César Aybar, Lilli Freischem, Stella Girtsou, Kyriaki-Margarita Bintsi, Emiliano Diaz Salas-Porras, Michael Eisinger, William Jones, Anna Jungbluth, Benoit Tremblay
2024 A* conf
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data.
NeurIPS
Matthew J. Allen, Francisco Dorr, Joseph Alejandro Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
2024 J jnl
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and RGB Data.
CoRR
Matthew J. Allen, Francisco Dorr, Joseph Alejandro Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
2023 J jnl
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery.
CoRR
Joseph A. Gallego-Mejia, Anna Jungbluth, Laura Martínez-Ferrer, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán
2023 J jnl
Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction.
CoRR
Laura Martínez-Ferrer, Anna Jungbluth, Joseph A. Gallego-Mejia, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán
2023 J jnl
Fewshot learning on global multimodal embeddings for earth observation tasks.
CoRR
Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
2023 J jnl
Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data.
CoRR
Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
2020 J jnl
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks.
CoRR
Juan Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan, Lisseth Gavilan, Daniel K. Giles, Stela Ishitani Silva, Anna Jungbluth, Brett M. Morris, Andrés Muñoz-Jaramillo
2019 J jnl
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties.
CoRR
Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atilim Günes Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo
2019 J jnl
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses.
CoRR
Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atilim Günes Baydin, Yarin Gal, Andrés Muñoz-Jaramillo