Over the past decades, hemodynamics simulators have steadily evolved and...
Hybrid modelling reduces the misspecification of expert models by combin...
Invertible neural networks (INNs) have been used to design generative mo...
Adversarial examples are malicious inputs crafted to induce
misclassific...
Neural networks have recently been established as a viable classificatio...
Flow-based generative models parameterize probability distributions thro...
Reversible deep networks provide useful theoretical guarantees and have
...
Despite their impressive performance, deep neural networks exhibit strik...
Studying the invertibility of deep neural networks (DNNs) provides a
pri...
Motivation: Tumor classification using Imaging Mass Spectrometry (IMS) d...