Publications

2025

• Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation

V Starostin, M Dax, A Gerlach, A Hinderhofer, Á Tejero-Cantero, F Schreiber

Science Advances 11, eadr9668 (2025)

mlcolab blog post , paper, repo

• Benchmarking deep learning for automated peak detection on GIWAXS data

C Völter, V Starostin, D Lapkin, V Munteanu, M Romodin, M Hylinski, A Gerlach, A Hinderhofer, F Schreiber

Journal of Applied Crystallography 58, 513-522 (2025)

• Tyrosine auxotrophy shapes Staphylococcus aureus nasal colonization and interactions with commensal communities

L Camus et al. (submitted)

2024

• Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena

T Freiesleben, G König, C Molnar, Á Tejero-Cantero

Minds & Machines 34, 32 (2024)

Article full text

• Neural network analysis of neutron and X-ray reflectivity data incorporating prior knowledge

V Munteanu, V Starostin, A Greco, L Pithan, A Gerlach, A Hinderhofer, S Kowarik, F Schreiber

Journal of Applied Crystallography 57, 456-469 (2024)

paper

Cluster research highlight (release july 2024)

• Frequency effects in linear discriminative learning

M Heitmeier, YY Chuang, SD Axen, RH Baayen

Frontiers in Human Neuroscience 17, 1242720 (2024)

paper, repo

• Predictive, scalable and interpretable knowledge tracing on structured domains

H Zhou, R Bamler, C M Wu, Á Tejero-Cantero

International Conference on Learning Representations (ICLR), 2024

paper, repo, mlcolab blog post

Cluster research highlight (released june 2024)

2023

• Manifolds.jl: an extensible Julia framework for data analysis on manifolds

SD Axen, M Baran, R Bergmann, K Rzecki

ACM Transactions on Mathematical Software 49, 1–23 (2023)

paper, repo

• Efficiently generating inverse-Wishart matrices and their Cholesky factors

SD Axen

arXiv 2023

paper, repo

• BridgeStan: Efficient in-memory access to the methods of a Stan model

EA Roualdes, B Ward, B Carpenter, A Seyboldt, SD Axen

Journal of Open Source Software 8, 5236 (2023)

paper, repo

• The Dynamic and Structured Nature of Learning and Memory

H Zhou, C Wu, Á Tejero-Cantero

Conference on Cognitive Computational Neuroscience (2023)

proceedings

2022

• Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes

SD Axen, A Gessner, C Sommer, N Weitzel, Á Tejero-Cantero

NeurIPS 2022 workshop paper

• GATSBI: Generative adversarial training for simulation-based inference

Poornima Ramesh, Jan-Matthis Lueckmann, Jan Boelts, Á Tejero-Cantero, David S Greenberg, Pedro J Gonçalves, Jakob H Macke

International Conference on Learning Representations, ICLR (2022)

paper