2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
Sparse Subspace Clustering for Concept Discovery (SSCCD)
Johanna Vielhaben, Stefan Blücher, Nils Strodthoff
Concepts are key building blocks of higher level human understanding. Explainable AI (XAI) methods have shown tremendous progress in recent years, however, local attribution method…
q-bio.QM2021
Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks
Johanna Vielhaben, Markus Wenzel, Eva Weicken +1
Predicting the binding of viral peptides to the major histocompatibility complex with machine learning can potentially extend the computational immunology toolkit for vaccine devel…
cond-mat.stat-mech2020
Generative Neural Samplers for the Quantum Heisenberg Chain
Johanna Vielhaben, Nils Strodthoff
Generative neural samplers offer a complementary approach to Monte Carlo methods for problems in statistical physics and quantum field theory. This work tests the ability of genera…