Zobrazeno 1 - 10
of 6 242
pro vyhledávání: '"Jungbluth, A. A."'
Autor:
Allen, Matthew J, Dorr, Francisco, Mejia, Joseph Alejandro Gallego, Martínez-Ferrer, Laura, Jungbluth, Anna, Kalaitzis, Freddie, Ramos-Pollán, Raúl
Satellite-based remote sensing has revolutionised the way we address global challenges. Huge quantities of Earth Observation (EO) data are generated by satellite sensors daily, but processing these large datasets for use in ML pipelines is technicall
Externí odkaz:
http://arxiv.org/abs/2406.04230
Autor:
Stolk, Arian J., van der Enden, Kian L., Slater, Marie-Christine, Raa-Derckx, Ingmar te, Botma, Pieter, van Rantwijk, Joris, Biemond, Benjamin, Hagen, Ronald A. J., Herfst, Rodolf W., Koek, Wouter D., Meskers, Arjan J. H., Vollmer, René, van Zwet, Erwin J., Markham, Matthew, Edmonds, Andrew M., Geus, Jan Fabian, Elsen, Florian, Jungbluth, Bernd, Haefner, Constantin, Tresp, Christoph, Stuhler, Jürgen, Ritter, Stephan, Hanson, Ronald
Publikováno v:
Sci. Adv. 10, eadp6442 (2024)
A key challenge towards future quantum internet technology is connecting quantum processors at metropolitan scale. Here, we report on heralded entanglement between two independently operated quantum network nodes separated by 10km. The two nodes host
Externí odkaz:
http://arxiv.org/abs/2404.03723
Autor:
Jarolim, Robert, Tremblay, Benoit, Muñoz-Jaramillo, Andrés, Bintsi, Kyriaki-Margarita, Jungbluth, Anna, Santos, Miraflor, Vourlidas, Angelos, Mason, James P., Sundaresan, Sairam, Downs, Cooper, Caplan, Ronald M.
Publikováno v:
ApJL 961 L31 (2024)
To understand its evolution and the effects of its eruptive events, the Sun is permanently monitored by multiple satellite missions. The optically-thin emission of the solar plasma and the limited number of viewpoints make it challenging to reconstru
Externí odkaz:
http://arxiv.org/abs/2401.16388
Autor:
Gallego-Mejia, Joseph A., Jungbluth, Anna, Martínez-Ferrer, Laura, Allen, Matt, Dorr, Francisco, Kalaitzis, Freddie, Ramos-Pollán, Raúl
Self-supervised learning (SSL) models have recently demonstrated remarkable performance across various tasks, including image segmentation. This study delves into the emergent characteristics of the Self-Distillation with No Labels (DINO) algorithm a
Externí odkaz:
http://arxiv.org/abs/2310.03513
Autor:
Martínez-Ferrer, Laura, Jungbluth, Anna, Gallego-Mejia, Joseph A., Allen, Matt, Dorr, Francisco, Kalaitzis, Freddie, Ramos-Pollán, Raúl
In this work we pre-train a DINO-ViT based model using two Synthetic Aperture Radar datasets (S1GRD or GSSIC) across three regions (China, Conus, Europe). We fine-tune the models on smaller labeled datasets to predict vegetation percentage, and empir
Externí odkaz:
http://arxiv.org/abs/2310.02048
Autor:
Allen, Matt, Dorr, Francisco, Gallego-Mejia, Joseph A., Martínez-Ferrer, Laura, Jungbluth, Anna, Kalaitzis, Freddie, Ramos-Pollán, Raúl
Satellite-based remote sensing is instrumental in the monitoring and mitigation of the effects of anthropogenic climate change. Large scale, high resolution data derived from these sensors can be used to inform intervention and policy decision making
Externí odkaz:
http://arxiv.org/abs/2310.00826
Autor:
Gareth John Moore, Florian Günther, Kaila M. Yallum, Martina Causa’, Anna Jungbluth, Julien Réhault, Moritz Riede, Frank Ortmann, Natalie Banerji
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract The interconversion dynamics between charge transfer state charges (CTCs) and separated charges (SCs) is still an unresolved issue in the field of organic photovoltaics. Here, a transient absorption spectroscopy (TAS) study of a thermally ev
Externí odkaz:
https://doaj.org/article/3996875bfdd34f658cb0054f92a91d7a
Autor:
Maria Francesca Di Feo, Ali Oghabian, Ella Nippala, Mathias Gautel, Heinz Jungbluth, Francesca Forzano, Edoardo Malfatti, Claudia Castiglioni, Ilona Krey, David Gomez Andres, Angela F. Brady, Maria Iascone, Anna Cereda, Lidia Pezzani, Daniel Natera De Benito, Andres Nascimiento Osorio, Berta Estévez Arias, Sergei A. Kurbatov, Tania Attie‐Bitach, Sheela Nampoothiri, Erin Ryan, Michelle Morrow, Svetlana Gorokhova, Brigitte Chabrol, Juha Sinisalo, Heli Tolppanen, Johanna Tolva, Francina Munell, Jessica Camacho Soriano, Maria Angeles Sanchez Duran, Mridul Johari, Homa Tajsharghi, Peter Hackman, Bjarne Udd, Marco Savarese
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 11, Iss 10, Pp 2745-2755 (2024)
Abstract Objective Biallelic titin truncating variants (TTNtv) have been associated with a wide phenotypic spectrum, ranging from complex prenatal muscle diseases with dysmorphic features to adult‐onset limb‐girdle muscular dystrophy, with or wit
Externí odkaz:
https://doaj.org/article/56fcca32800d4caeb1e23bc0b7d6e783
Autor:
Patrick Ebel, Rochelle Schneider, Massimo Bonavita, Mariana Clare, Anna Jungbluth, Maryam Pourshamsi, Matthew Chantry, Mihai Alexe, Alessandro Sebastianelli, Marcin Chrust
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-5 (2024)
This report summarises the main outcomes of the 4th edition of the workshop on Machine Learning (ML) for Earth System Observation and Prediction (ESOP / ML4ESOP) co-organised by the European Space Agency (ESA) and the European Centre for Medium-Range
Externí odkaz:
https://doaj.org/article/f9698820f5f049c8b3e5b894704ce101
Autor:
Allen, Matt, Dorr, Francisco, Gallego-Mejia, Joseph A., Martínez-Ferrer, Laura, Jungbluth, Anna, Kalaitzis, Freddie, Ramos-Pollán, Raúl
In this work we pretrain a CLIP/ViT based model using three different modalities of satellite imagery across five AOIs covering over ~10\% of Earth's total landmass, namely Sentinel 2 RGB optical imagery, Sentinel 1 SAR radar amplitude and interferom
Externí odkaz:
http://arxiv.org/abs/2310.00119