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.

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2025

Symmetry-Aware Bayesian Flow Networks for Crystal Generation.

[BibT_eX]

[DOI]

CoRR, February, 2025

Temperature-Annealed Boltzmann Generators.

[BibT_eX]

[DOI]

Henrik Schopmans

Pascal Friederich

CoRR, January, 2025

2024

Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations.

[BibT_eX]

[DOI]

Henrik Schopmans

Pascal Friederich

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.

[BibT_eX]

[DOI]

Henrik Schopmans

Patrick Reiser

Pascal Friederich

CoRR, 2023

2022

Graph neural networks for materials science and chemistry.

[BibT_eX]

[DOI]

CoRR, 2022

Henrik Schopmans

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