Zobrazeno 1 - 10
of 4 529
pro vyhledávání: '"Eyring A"'
Learning disentangled representations from unlabelled data is a fundamental challenge in machine learning. Solving it may unlock other problems, such as generalization, interpretability, or fairness. Although remarkably challenging to solve in theory
Externí odkaz:
http://arxiv.org/abs/2407.07829
Text-to-Image (T2I) models have made significant advancements in recent years, but they still struggle to accurately capture intricate details specified in complex compositional prompts. While fine-tuning T2I models with reward objectives has shown p
Externí odkaz:
http://arxiv.org/abs/2406.04312
Climate models play a critical role in understanding and projecting climate change. Due to their complexity, their horizontal resolution of about 40-100 km remains too coarse to resolve processes such as clouds and convection, which need to be approx
Externí odkaz:
http://arxiv.org/abs/2406.03920
Autor:
Gier, Bettina K., Schlund, Manuel, Friedlingstein, Pierre, Jones, Chris D., Jones, Colin, Zaehle, Sönke, Eyring, Veronika
Improvements in the representation of the land carbon cycle in Earth system models participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) include interactive treatment of both the carbon and nitrogen cycles, improved photosynthesi
Externí odkaz:
http://arxiv.org/abs/2402.05671
Autor:
Behrens, Gunnar, Beucler, Tom, Iglesias-Suarez, Fernando, Yu, Sungduk, Gentine, Pierre, Pritchard, Michael, Schwabe, Mierk, Eyring, Veronika
Deep learning is a powerful tool to represent subgrid processes in climate models, but many application cases have so far used idealized settings and deterministic approaches. Here, we develop stochastic parameterizations with calibrated uncertainty
Externí odkaz:
http://arxiv.org/abs/2402.03079
Autor:
Eyring, Luca, Klein, Dominik, Uscidda, Théo, Palla, Giovanni, Kilbertus, Niki, Akata, Zeynep, Theis, Fabian
In optimal transport (OT), a Monge map is known as a mapping that transports a source distribution to a target distribution in the most cost-efficient way. Recently, multiple neural estimators for Monge maps have been developed and applied in diverse
Externí odkaz:
http://arxiv.org/abs/2311.15100
Publikováno v:
Journal of Advances in Modeling Earth Systems, 16, e2024MS004398
Machine learning (ML)-based parameterizations have been developed for Earth System Models (ESMs) with the goal to better represent subgrid-scale processes or to accelerate computations. ML-based parameterizations within hybrid ESMs have successfully
Externí odkaz:
http://arxiv.org/abs/2311.03251
Autor:
Immorlano, Francesco, Eyring, Veronika, de Gouville, Thomas le Monnier, Accarino, Gabriele, Elia, Donatello, Aloisio, Giovanni, Gentine, Pierre
Accurate and precise climate projections are required for climate adaptation and mitigation, but Earth system models still exhibit great uncertainties. Several approaches have been developed to reduce the spread of climate projections and feedbacks,
Externí odkaz:
http://arxiv.org/abs/2309.14780
Autor:
Paçal, Aytaç, Hassler, Birgit, Weigel, Katja, Kurnaz, M. Levent, Wehner, Michael F., Eyring, Veronika
Publikováno v:
Journal of Geophysical Research: Atmospheres, 128, 2023
Extreme temperature events have traditionally been detected assuming a unimodal distribution of temperature data. We found that surface temperature data can be described more accurately with a multimodal rather than a unimodal distribution. Here, we
Externí odkaz:
http://arxiv.org/abs/2309.06937
Autor:
C. G. Jones, F. Adloff, B. B. B. Booth, P. M. Cox, V. Eyring, P. Friedlingstein, K. Frieler, H. T. Hewitt, H. A. Jeffery, S. Joussaume, T. Koenigk, B. N. Lawrence, E. O'Rourke, M. J. Roberts, B. M. Sanderson, R. Séférian, S. Somot, P. L. Vidale, D. van Vuuren, M. Acosta, M. Bentsen, R. Bernardello, R. Betts, E. Blockley, J. Boé, T. Bracegirdle, P. Braconnot, V. Brovkin, C. Buontempo, F. Doblas-Reyes, M. Donat, I. Epicoco, P. Falloon, S. Fiore, T. Frölicher, N. S. Fučkar, M. J. Gidden, H. F. Goessling, R. G. Graversen, S. Gualdi, J. M. Gutiérrez, T. Ilyina, D. Jacob, C. D. Jones, M. Juckes, E. Kendon, E. Kjellström, R. Knutti, J. Lowe, M. Mizielinski, P. Nassisi, M. Obersteiner, P. Regnier, R. Roehrig, D. Salas y Mélia, C.-F. Schleussner, M. Schulz, E. Scoccimarro, L. Terray, H. Thiemann, R. A. Wood, S. Yang, S. Zaehle
Publikováno v:
Earth System Dynamics, Vol 15, Pp 1319-1351 (2024)
We review how the international modelling community, encompassing integrated assessment models, global and regional Earth system and climate models, and impact models, has worked together over the past few decades to advance understanding of Earth sy
Externí odkaz:
https://doaj.org/article/d5d160b4640c42979c4418091c262915
