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04/26/2023
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models
With growing size of Neural Networks (NNs), model sparsification to redu...
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12/21/2022
Towards dynamic stability analysis of sustainable power grids using graph neural networks
To mitigate climate change, the share of renewable needs to be increased...
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09/29/2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
In the last years, neural networks (NN) have evolved from laboratory env...
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09/29/2022
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
Learning representations of neural network weights given a model zoo is ...
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07/22/2022
Hyper-Representations for Pre-Training and Transfer Learning
Learning representations of neural network weights given a model zoo is ...
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06/10/2022
Dynamic stability of power grids – new datasets for Graph Neural Networks
One of the key challenges for the success of the energy transition towar...
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10/28/2021
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Self-Supervised Learning (SSL) has been shown to learn useful and inform...
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08/18/2021
Predicting Dynamic Stability of Power Grids using Graph Neural Networks
The prediction of dynamical stability of power grids becomes more import...
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06/18/2020