Henrik Schopmans

According to our database1, Henrik Schopmans authored at least 5 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Symmetry-Aware Bayesian Flow Networks for Crystal Generation.
CoRR, February, 2025

Temperature-Annealed Boltzmann Generators.
CoRR, January, 2025

2024
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Neural networks trained on synthetically generated crystals can extract structural information from ICSD powder X-ray diffractograms.
CoRR, 2023

2022
Graph neural networks for materials science and chemistry.
CoRR, 2022


  Loading...