
Deep learning for surrogate modelling of 2D mantle convection
Traditionally, 1D models based on scaling laws have been used to paramet...
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Towards Robust Explanations for Deep Neural Networks
Explanation methods shed light on the decision process of blackbox clas...
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Fairwashing Explanations with OffManifold Detergent
Explanation methods promise to make blackbox classifiers more transpare...
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On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models
In this work, we demonstrate that applying deep generative machine learn...
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Asymptotically Unbiased Generative Neural Sampling
We propose a general framework for the estimation of observables with ge...
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Explanations can be manipulated and geometry is to blame
Explanation methods aim to make neural networks more trustworthy and int...
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Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt  VANs Enhanced by Importance and MCMC Sampling
In this comment on "Solving Statistical Mechanics Using Variational Auto...
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Analysis of Atomistic Representations Using Weighted SkipConnections
In this work, we extend the SchNet architecture by using weighted skip c...
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Pan Kessel
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