1 citations · 2 across the 2 of their papers we have counts for
3 papers
Time-series attribution maps with regularized contrastive learning
Steffen Schneider, Rodrigo González Laiz, Anastasiia Filippova +2
Gradient-based attribution methods aim to explain decisions of deep learning models but so far lack identifiability guarantees. Here, we propose a method to generate attribution ma…
Self-supervised contrastive learning performs non-linear system identification
Rodrigo González Laiz, Tobias Schmidt, Steffen Schneider
Self-supervised learning (SSL) approaches have brought tremendous success across many tasks and domains. It has been argued that these successes can be attributed to a link between…
Synthesis of realistic fetal MRI with conditional Generative Adversarial Networks
Marina Fernandez Garcia, Rodrigo Gonzalez Laiz, Hui Ji +2
Fetal brain magnetic resonance imaging serves as an emerging modality for prenatal counseling and diagnosis in disorders affecting the brain. Machine learning based segmentation pl…