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- Universität HamburgDE73 papers
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28 papers · 1 filter
Fragility, Robustness and Antifragility in Deep Learning
Chandresh Pravin, Ivan Martino, Giuseppe Nicosia +1
We propose a systematic analysis of deep neural networks (DNNs) based on a signal processing technique for network parameter removal, in the form of synaptic filters that identifie…
Knowledge Distillation Based Semantic Communications For Multiple Users
Chenguang Liu, Yuxin Zhou, Yunfei Chen +1
Deep learning (DL) has shown great potential in revolutionizing the traditional communications system. Many applications in communications have adopted DL techniques due to their p…
Saddle avoidance of noise-induced transitions in multiscale systems
Reyk Börner, Ryan Deeley, Raphael Römer +3
In multistable dynamical systems driven by weak Gaussian noise, transitions between competing states are often assumed to pass via a saddle on the separating basin boundary. By con…
Dimensional analysis identifies contrasting dynamics of past climate states and critical transitions
Tommaso Alberti, Fabio Florindo, Eelco J. Rohling +2
While one can unequivocally identify past climate transitions, we lack comprehensive knowledge about their underlying mechanisms and timescales. Our study employs a dimensional ana…
The evolution of a non-autonomous chaotic system under non-periodic forcing: a climate change example
Francisco de Melo Viríssimo, David A. Stainforth, Jochen Bröcker
Complex Earth System Models are widely utilised to make conditional statements about the future climate under some assumptions about changes in future atmospheric greenhouse gas co…
Agnostic detection of large-scale weather patterns in the northern hemisphere: from blockings to teleconnections
Sebastian Springer, Vera Melinda Galfi, Alessandro Laio +1
Detecting recurrent weather patterns and understanding the transitions between such regimes are key to advancing our knowledge on the low-frequency variability of the atmosphere an…