Anna Jungbluth

According to our database, Anna Jungbluth authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Benchmarking bandgap prediction in semiconductors under experimental and realistic evaluation settings.

Haolin Wang, Xianyuan Liu, Anna Jungbluth, Alexandra J. Ramadan, Robert D. J. Oliver, Haiping Lu

CoRR, April, 2026

2025

Global 3D Reconstruction of Clouds & Tropical Cyclones.

Shirin Ermis, César Aybar, Lilli Freischem, Stella Girtsou, Kyriaki-Margarita Bintsi, Emiliano Diaz Salas-Porras, Michael Eisinger, William Jones, Anna Jungbluth, Benoit Tremblay

CoRR, November, 2025

CIPHER: Scalable Time Series Analysis for Physical Sciences with Application to Solar Wind Phenomena.

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

CoRR, October, 2025

3D Cloud reconstruction through geospatially-aware Masked Autoencoders.

Stella Girtsou, Emiliano Diaz Salas-Porras, Lilli Freischem, Joppe Massant, Kyriaki-Margarita Bintsi, Guiseppe Castiglione, William Jones, Michael Eisinger, Emmanuel Johnson, Anna Jungbluth

CoRR, January, 2025

2024

M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and RGB Data.

Matthew J. Allen, Francisco Dorr, Joseph Alejandro Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán

CoRR, 2024

M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data.

Matthew J. Allen, Francisco Dorr, Joseph Alejandro Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery.

Joseph A. Gallego-Mejia, Anna Jungbluth, Laura Martínez-Ferrer, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán

CoRR, 2023

Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction.

Laura Martínez-Ferrer, Anna Jungbluth, Joseph A. Gallego-Mejia, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán

CoRR, 2023

Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data.

Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán

CoRR, 2023

Fewshot learning on global multimodal embeddings for earth observation tasks.

Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán

CoRR, 2023

2020

Converter software to calibrate and super-resolve solar magnetograms.

Andrés Muñoz-Jaramillo, Xavier Gitiaux, Anna Jungbluth, Shane A. Maloney, Carl Shneider, Paul J. Wright, Michel Deudon, Alfredo Kalaitzis, Atilim Günes Baydin, Yarin Gal

Dataset, April, 2020

RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks.

Juan Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan, Lisseth Gavilan, Daniel K. Giles, Stela Ishitani Silva, Anna Jungbluth, Brett M. Morris, Andrés Muñoz-Jaramillo

CoRR, 2020

2019

Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses.

Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atilim Günes Baydin, Yarin Gal, Andrés Muñoz-Jaramillo

CoRR, 2019

Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties.

Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atilim Günes Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo

CoRR, 2019