Intermediate filaments ensure resiliency of single carcinoma cells, while active contractility of the actin cortex determines their invasive potential. New Journal of Physics, (23)8:083028, IOP Publishing, 2021. [PUMA: imported topic_earthenvironment]
Absorption of twisted light by hydrogenlike atoms. Physical Review A, (90)1:013425, American Physical Society, 2014. [PUMA: imported topic_earthenvironment]
Towards learned emulation of interannual water isotopologue variations in General Circulation Models. Environmental Data Science, (2):e35, Cambridge University Press, 2023. [PUMA: imported topic_earthenvironment]
The potential of machine learning for modeling spatio-temporal properties of water isotopologue distributions in precipitation. EGU General Assembly Conference Abstracts, EGU21-2979, 2021. [PUMA: imported topic_earthenvironment]
Validating Deep-Learning Weather Forecast Models on Recent High-Impact Extreme Events. arXiv preprint arXiv:2404.17652, 2024. [PUMA: imported topic_earthenvironment]
Composing modeling and simulation with machine learning in Julia. 1-17, IEEE, 2022. [PUMA: imported topic_earthenvironment]
A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Homogeneous Random Boolean Networks. arXiv e-prints, arXiv: 2407.18017, 2024. [PUMA: imported topic_earthenvironment]
SpectralIndices. jl: Streamlining spectral indices access and computation for Earth system research. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (48):89-95, Copernicus GmbH, 2024. [PUMA: imported topic_earthenvironment]
Learning extreme vegetation response to climate drivers with recurrent neural networks. Nonlinear Processes in Geophysics, (31)4:535-557, Copernicus Publications, 2024. [PUMA: imported topic_earthenvironment]
Recurrent Neural Networks for Modelling Gross Primary Production. 4214-4217, IEEE, 2024. [PUMA: imported topic_earthenvironment]
Composable and reusable neural surrogates to predict system response of causal model components. 2021. [PUMA: imported topic_earthenvironment]
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. 2024. [PUMA: imported topic_earthenvironment]
Impact Predictability: Exploring Extremes in Biosphere Dynamics with Recurrent Neural Networks. EGU24-9569Copernicus Meetings, 2024. [PUMA: imported topic_earthenvironment]
Data cubes for earth system research: Challenges ahead. EarthArXiv (California Digital Library), 2023. [PUMA: imported topic_earthenvironment]
A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research. Scientific Data, (10)1:1-20, Nature Publishing Group, 2023. [PUMA: imported topic_earthenvironment]
Estimating Gross Primary Production via Recurrent Neural Networks: A comparative analysis. EGU24-6773Copernicus Meetings, 2024. [PUMA: imported topic_earthenvironment]
ReservoirComputing. jl: An efficient and modular library for reservoir computing models. Journal of Machine Learning Research, (23)288:1-8, 2022. [PUMA: imported topic_earthenvironment]
Evaluating Forest Resilience in Europe with Deep Learning Persistence Analysis. EGU24-20805Copernicus Meetings, 2024. [PUMA: imported topic_earthenvironment]
A sensitivity analysis of cellular automata and heterogeneous topology networks: partially-local cellular automata and homogeneous homogeneous random boolean networks. International Journal of Parallel, Emergent and Distributed Systems, 1-41, Taylor & Francis, 2024. [PUMA: imported topic_earthenvironment]
Earth System Data Cubes: Avenues for advancing Earth system research. arXiv preprint arXiv:2408.02348, 2024. [PUMA: imported topic_earthenvironment]